{ "cells": [ { "cell_type": "markdown", "id": "21663004", "metadata": {}, "source": [ "# Inventario bovino entre 2004 y 2009 en Córdoba" ] }, { "cell_type": "code", "execution_count": 4, "id": "b9e873d2", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import plotly.express as px\n" ] }, { "cell_type": "code", "execution_count": 5, "id": "076f18a7", "metadata": {}, "outputs": [], "source": [ "df = pd.read_csv('bovinos-2004-2009.csv')\n" ] }, { "cell_type": "code", "execution_count": 7, "id": "a60888a5", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "| | Año | Departamento | Orientación | NoAnimales |\n", "|---:|------:|:---------------|:---------------|-----------------:|\n", "| 0 | 2004 | Córdoba | Carne | 2.23072e+06 |\n", "| 1 | 2005 | Córdoba | Carne | 1.81007e+06 |\n", "| 2 | 2006 | Córdoba | Carne | 2.03328e+06 |\n", "| 3 | 2007 | Córdoba | Carne | 2.18132e+06 |\n", "| 4 | 2008 | Córdoba | Carne | 2.07858e+06 |\n", "| 5 | 2009 | Córdoba | Carne | 1.97118e+06 |\n", "| 6 | 2004 | Córdoba | Doble Utilidad | 243485 |\n", "| 7 | 2005 | Córdoba | Doble Utilidad | 517324 |\n", "| 8 | 2006 | Córdoba | Doble Utilidad | 337233 |\n", "| 9 | 2007 | Córdoba | Doble Utilidad | 334404 |\n", "| 10 | 2008 | Córdoba | Doble Utilidad | 282840 |\n", "| 11 | 2009 | Córdoba | Doble Utilidad | 326740 |\n", "| 12 | 2004 | Córdoba | Leche | 301 |\n", "| 13 | 2007 | Córdoba | Leche | 3401 |\n", "| 14 | 2008 | Córdoba | Leche | 5523 |\n", "| 15 | 2009 | Córdoba | Leche | 12616 |\n" ] } ], "source": [ "print(df.to_markdown())\n" ] }, { "cell_type": "code", "execution_count": 9, "id": "ec711b4e", "metadata": {}, "outputs": [ { "data": { "text/markdown": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
AñoDepartamentoOrientaciónNoAnimales
02004CórdobaCarne2230719.0
12005CórdobaCarne1810069.0
22006CórdobaCarne2033281.0
32007CórdobaCarne2181325.0
42008CórdobaCarne2078583.0
52009CórdobaCarne1971175.0
62004CórdobaDoble Utilidad243485.0
72005CórdobaDoble Utilidad517324.0
82006CórdobaDoble Utilidad337233.0
92007CórdobaDoble Utilidad334404.0
102008CórdobaDoble Utilidad282840.0
112009CórdobaDoble Utilidad326740.0
122004CórdobaLeche301.0
132007CórdobaLeche3401.0
142008CórdobaLeche5523.0
152009CórdobaLeche12616.0
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from IPython.display import display, Markdown\n", "\n", "html_table = df.to_html()\n", "markdown_table = Markdown(html_table)\n", "display(markdown_table)\n" ] }, { "cell_type": "code", "execution_count": 10, "id": "8809d921", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
AñoDepartamentoOrientaciónNoAnimales
02004CórdobaCarne2230719.0
12005CórdobaCarne1810069.0
22006CórdobaCarne2033281.0
32007CórdobaCarne2181325.0
42008CórdobaCarne2078583.0
52009CórdobaCarne1971175.0
62004CórdobaDoble Utilidad243485.0
72005CórdobaDoble Utilidad517324.0
82006CórdobaDoble Utilidad337233.0
92007CórdobaDoble Utilidad334404.0
102008CórdobaDoble Utilidad282840.0
112009CórdobaDoble Utilidad326740.0
122004CórdobaLeche301.0
132007CórdobaLeche3401.0
142008CórdobaLeche5523.0
152009CórdobaLeche12616.0
\n" ] } ], "source": [ "html_table = df.to_html()\n", "print(html_table)\n" ] }, { "cell_type": "code", "execution_count": 14, "id": "eaba517a", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
AñoDepartamentoOrientaciónNoAnimales
02004CórdobaCarne2230719.0
12005CórdobaCarne1810069.0
22006CórdobaCarne2033281.0
32007CórdobaCarne2181325.0
42008CórdobaCarne2078583.0
52009CórdobaCarne1971175.0
62004CórdobaDoble Utilidad243485.0
72005CórdobaDoble Utilidad517324.0
82006CórdobaDoble Utilidad337233.0
92007CórdobaDoble Utilidad334404.0
102008CórdobaDoble Utilidad282840.0
112009CórdobaDoble Utilidad326740.0
122004CórdobaLeche301.0
132007CórdobaLeche3401.0
142008CórdobaLeche5523.0
152009CórdobaLeche12616.0
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from IPython.display import display, HTML\n", "\n", "html_table = df.to_html()\n", "display(HTML(html_table))\n", "\n", "# Saving the HTML table to a file\n", "with open('tabla-bovinos-cordoba-2004-2009.html', 'w') as file:\n", " file.write(df.to_html())" ] }, { "cell_type": "code", "execution_count": 17, "id": "efc71c9c", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "labels": [ "Carne", "Doble Utilidad", "Leche" ], "marker": { "colors": [ "rgb(31, 119, 180)", "rgb(255, 127, 14)", "rgb(44, 160, 44)" ] }, "type": "pie", "values": [ 12305152, 2042026, 21841 ] } ], "layout": { "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "fillpattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Inventario bovino por orientación", "x": 0.5 } } }, "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas as pd\n", "import plotly.graph_objects as go\n", "\n", "# Group the DataFrame by the 'Orientación' column and sum the 'NumeroAnimales' column\n", "orientacion_counts = df.groupby('Orientación')['NoAnimales'].sum()\n", "\n", "# Define custom colors for the pie slices\n", "colors = ['rgb(31, 119, 180)', 'rgb(255, 127, 14)', 'rgb(44, 160, 44)']\n", "\n", "# Create the pie chart using Plotly\n", "fig = go.Figure(data=[go.Pie(labels=orientacion_counts.index,\n", " values=orientacion_counts.values,\n", " marker=dict(colors=colors))])\n", "\n", "# Set the title of the pie chart\n", "fig.update_layout(title_text='Inventario bovino en Córdoba por orientación', title_x=0.5)\n", "\n", "# Display the interactive pie chart\n", "fig.show()\n", "\n", "# Saving the interactive pie chart to a file\n", "#fig.write_html('pie_chart.html')" ] }, { "cell_type": "code", "execution_count": 25, "id": "d7ed5e11", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "marker": { "color": "rgb(31, 119, 180)" }, "name": "Carne", "type": "bar", "x": [ 2004, 2005, 2006, 2007, 2008, 2009 ], "y": [ 2.230719, 1.810069, 2.033281, 2.181325, 2.078583, 1.971175 ] }, { "marker": { "color": "rgb(255, 127, 14)" }, "name": "Doble Utilidad", "type": "bar", "x": [ 2004, 2005, 2006, 2007, 2008, 2009 ], "y": [ 0.243485, 0.517324, 0.337233, 0.334404, 0.28284, 0.32674 ] }, { "marker": { "color": "rgb(44, 160, 44)" }, "name": "Leche", "type": "bar", "x": [ 2004, 2005, 2006, 2007, 2008, 2009 ], "y": [ 0.000301, 0, 0, 0.003401, 0.005523, 0.012616 ] } ], "layout": { "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "fillpattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Inventario bovino en Córdoba 2004-2009 por año", "x": 0.5 }, "xaxis": { "title": { "text": "Year" } }, "yaxis": { "title": { "text": "NoAnimales (en millones)" } } } }, "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import plotly.graph_objects as go\n", "\n", "# Group the DataFrame by 'Año' and 'Orientación' and sum the 'NoAnimales' column (divided by 1 million)\n", "grouped_df = df.groupby(['Año', 'Orientación'])['NoAnimales'].sum() / 1000000\n", "\n", "# Get unique years and orientations for the x-axis\n", "years = df['Año'].unique()\n", "orientations = df['Orientación'].unique()\n", "\n", "# Define custom colors for each orientation\n", "color_palette = {\n", " 'Carne': 'rgb(31, 119, 180)',\n", " 'Doble Utilidad': 'rgb(255, 127, 14)',\n", " 'Leche': 'rgb(44, 160, 44)'\n", "}\n", "\n", "# Create a bar chart with grouped bars and custom colors\n", "data = []\n", "for orientation in orientations:\n", " y_values = [grouped_df.loc[(year, orientation)] if (year, orientation) in grouped_df.index else 0 for year in years]\n", " color = color_palette.get(orientation, 'rgb(0, 0, 0)') # Use custom color if available, else default to black\n", " data.append(go.Bar(name=orientation, x=years, y=y_values, marker=dict(color=color)))\n", "\n", "# Set the layout of the chart\n", "layout = go.Layout(title='Inventario bovino en Córdoba 2004-2009 por año', \n", " title_x=0.5, #centrar el titulo\n", " xaxis=dict(title='Year'),\n", " yaxis=dict(title='NoAnimales (en millones)'))\n", "\n", "# Create the figure\n", "fig = go.Figure(data=data, layout=layout)\n", "\n", "# Display the chart\n", "fig.show()\n", "\n", "# Saving the interactive pie chart to a file\n", "fig.write_html('inventario-bovino-cord-2004-2009.html')\n" ] }, { "cell_type": "markdown", "id": "28613879", "metadata": {}, "source": [ "# Pivot Table para productos agrícolas" ] }, { "cell_type": "code", "execution_count": 3, "id": "ea8d75a1", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Campos disponibles:\n", "Index(['Año', 'Municipio', 'Area Sembrada', 'Area Cosechada',\n", " 'Produccion (ton)', 'Rendimiento (ha/ton)', 'Producto'],\n", " dtype='object')\n", "Tabla de pivote:\n", "Produccion (ton) 0.00 0.75 1.00 2.00 2.40 2.85 \n", "Municipio \n", "CHIMA 0.0 NaN NaN NaN NaN NaN \\\n", "COTORRA 0.0 NaN NaN NaN NaN NaN \n", "LORICA 0.0 NaN NaN NaN NaN NaN \n", "MOMIL 0.0 0.75 1.066667 0.4 4.0 3.8 \n", "PURISIMA 0.0 NaN NaN NaN NaN NaN \n", "\n", "Produccion (ton) 3.00 4.50 4.90 6.00 ... 22100.00 \n", "Municipio ... \n", "CHIMA NaN NaN NaN NaN ... NaN \\\n", "COTORRA NaN NaN NaN NaN ... 4.73 \n", "LORICA NaN NaN NaN NaN ... NaN \n", "MOMIL 2.333333 1.5 0.54 2.0 ... NaN \n", "PURISIMA NaN NaN NaN NaN ... NaN \n", "\n", "Produccion (ton) 22500.00 22550.00 25300.00 29800.00 30000.00 33359.20 \n", "Municipio \n", "CHIMA NaN 5.5 5.59 NaN NaN NaN \\\n", "COTORRA NaN NaN NaN NaN NaN 4.6 \n", "LORICA 25.0 NaN NaN 10.0 12.0 NaN \n", "MOMIL NaN NaN NaN NaN NaN NaN \n", "PURISIMA NaN NaN NaN NaN NaN NaN \n", "\n", "Produccion (ton) 34128.00 34200.00 52392.00 \n", "Municipio \n", "CHIMA NaN NaN NaN \n", "COTORRA NaN NaN NaN \n", "LORICA 12.0 12.0 12.0 \n", "MOMIL NaN NaN NaN \n", "PURISIMA NaN NaN NaN \n", "\n", "[5 rows x 515 columns]\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import os\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "\n", "# Directorio que contiene los archivos CSV\n", "directory = \"./\"\n", "\n", "# Obtener la lista de archivos CSV en el directorio\n", "csv_files = [file for file in os.listdir(directory) if file.endswith(\".csv\")]\n", "\n", "# Verificar si hay archivos CSV en el directorio\n", "if len(csv_files) == 0:\n", " print(\"No se encontraron archivos CSV en el directorio especificado.\")\n", " exit()\n", "\n", "# Cargar los datos de los archivos CSV en un DataFrame\n", "dfs = []\n", "\n", "for file in csv_files:\n", " file_path = os.path.join(directory, file)\n", " try:\n", " df = pd.read_csv(file_path)\n", " dfs.append(df)\n", " except pd.errors.EmptyDataError:\n", " print(f\"El archivo {file} está vacío y no se puede cargar.\")\n", "\n", "# Verificar si se cargaron datos en el DataFrame\n", "if len(dfs) == 0:\n", " print(\"No se pudo cargar ningún archivo CSV con datos.\")\n", " exit()\n", "\n", "# Concatenar los DataFrames en uno solo\n", "data = pd.concat(dfs)\n", "\n", "# Mostrar los campos disponibles\n", "fields = data.columns\n", "print(\"Campos disponibles:\")\n", "print(fields)\n", "\n", "# Elegir los campos a incluir en la tabla y la gráfica\n", "selected_fields = [\"Municipio\", \"Produccion (ton)\", \"Rendimiento (ha/ton)\"]\n", "\n", "# Filtrar el DataFrame con los campos seleccionados\n", "filtered_data = data[selected_fields]\n", "\n", "# Crear la tabla de pivote\n", "pivot_table = pd.pivot_table(filtered_data, values=\"Produccion (ton)\", index=\"Municipio\", columns=\"Produccion (ton)\")\n", "\n", "# Mostrar la tabla de pivote\n", "print(\"Tabla de pivote:\")\n", "print(pivot_table)\n", "\n", "# Crear la gráfica\n", "chart_type = \"bar\" # Tipo de gráfica, puedes elegir entre \"bar\", \"line\", \"scatter\", etc.\n", "chart_title = \"Gráfica de Producción por Rendimiento\" # Título de la gráfica\n", "colors = [\"red\", \"green\", \"blue\", \"orange\"] # Colores para las barras\n", "\n", "try:\n", " pivot_table.plot(kind=chart_type, figsize=(10, 6), color=colors)\n", " plt.title(chart_title)\n", " plt.xlabel(\"Municipio\")\n", " plt.ylabel(\"Producción (ton)\")\n", " plt.show()\n", "except ValueError as e:\n", " print(f\"No se pudo generar la gráfica. Error: {str(e)}\")\n" ] }, { "cell_type": "markdown", "id": "9020f17b", "metadata": {}, "source": [ "## Visualización con listas desplegables en Ipython" ] }, { "cell_type": "markdown", "id": "ca52fe5c", "metadata": {}, "source": [ "## Versión 2 por verificar" ] }, { "cell_type": "code", "execution_count": 4, "id": "2009eb1f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Campos disponibles:\n", "Index(['Año', 'Municipio', 'Area Sembrada', 'Area Cosechada',\n", " 'Produccion (ton)', 'Rendimiento (ha/ton)', 'Producto'],\n", " dtype='object')\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "c87c7fd03d7d4a5a8e4ac7bb40f2678f", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Dropdown(description='Variable 1:', options=('Año', 'Municipio', 'Area Sembrada', 'Area Cosechada', 'Produccio…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "5acafeb5148d4335926990e155ff3573", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Dropdown(description='Variable 2:', options=('Año', 'Municipio', 'Area Sembrada', 'Area Cosechada', 'Produccio…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "c372ea1fd40d4f5f90692a4396953583", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Dropdown(description='Tipo de gráfico:', options=('bar', 'line', 'scatter', 'area', 'pie', 'histogram', 'box',…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "a3a6871ff31d4d67bcb33ede971455b7", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Dropdown(description='Valores:', options=('Año', 'Municipio', 'Area Sembrada', 'Area Cosechada', 'Produccion (…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import os\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import ipywidgets as widgets\n", "from IPython.display import display\n", "\n", "# Directorio que contiene los archivos CSV\n", "directory = \"./\"\n", "\n", "# Obtener la lista de archivos CSV en el directorio\n", "csv_files = [file for file in os.listdir(directory) if file.endswith(\".csv\")]\n", "\n", "# Verificar si hay archivos CSV en el directorio\n", "if len(csv_files) == 0:\n", " print(\"No se encontraron archivos CSV en el directorio especificado.\")\n", " exit()\n", "\n", "# Cargar los datos de los archivos CSV en un DataFrame\n", "dfs = []\n", "\n", "for file in csv_files:\n", " file_path = os.path.join(directory, file)\n", " try:\n", " df = pd.read_csv(file_path)\n", " # Agregar una columna \"Producto\" con el nombre del archivo sin la extensión\n", " df[\"Producto\"] = os.path.splitext(file)[0]\n", " dfs.append(df)\n", " except pd.errors.EmptyDataError:\n", " print(f\"El archivo {file} está vacío y no se puede cargar.\")\n", "\n", "# Verificar si se cargaron datos en el DataFrame\n", "if len(dfs) == 0:\n", " print(\"No se pudo cargar ningún archivo CSV con datos.\")\n", " exit()\n", "\n", "# Concatenar los DataFrames en uno solo\n", "data = pd.concat(dfs)\n", "\n", "# Mostrar los campos disponibles\n", "fields = data.columns\n", "print(\"Campos disponibles:\")\n", "print(fields)\n", "\n", "# Crear las listas desplegables para seleccionar las variables y el tipo de gráfico\n", "variable1_dropdown = widgets.Dropdown(options=fields, description=\"Variable 1:\")\n", "variable2_dropdown = widgets.Dropdown(options=fields, description=\"Variable 2:\")\n", "chart_type_dropdown = widgets.Dropdown(options=[\"bar\", \"line\", \"scatter\", \"area\", \"pie\", \"histogram\", \"box\", \"bubble\", \"radar\", \"stacked_bar\", \"stacked_area\", \"polar\", \"violin\", \"heatmap\", \"treemap\", \"donut\", \"waterfall\", \"polar_area\", \"pareto\", \"network\"], description=\"Tipo de gráfico:\")\n", "values_dropdown = widgets.Dropdown(options=fields, description=\"Valores:\")\n", "\n", "# Función para generar y mostrar el gráfico seleccionado\n", "def generate_chart(change):\n", " variable1 = variable1_dropdown.value\n", " variable2 = variable2_dropdown.value\n", " chart_type = chart_type_dropdown.value\n", " values = values_dropdown.value\n", " \n", " # Filtrar el DataFrame con las variables seleccionadas\n", " filtered_data = data[[variable1, variable2]]\n", " \n", " # Crear la tabla de pivote\n", " pivot_table = pd.pivot_table(filtered_data, values=values, index=variable1)\n", " \n", " # Mostrar la tabla de pivote\n", " print(\"Tabla de pivote:\")\n", " print(pivot_table)\n", " \n", " # Crear la gráfica\n", " chart_title = f\"Gráfica de {values} por {variable1}\" # Título de la gráfica\n", " colors = [\"red\", \"green\", \"blue\", \"orange\"] # Colores para las barras\n", " \n", " try:\n", " if chart_type == \"pie\":\n", " pivot_table.plot.pie(y=values, figsize=(10, 6), autopct='%1.1f%%', colors=colors)\n", " else:\n", " pivot_table.plot(kind=chart_type, figsize=(10, 6), color=colors)\n", " plt.title(chart_title)\n", " plt.xlabel(variable1)\n", " plt.ylabel(values)\n", " plt.show()\n", " except ValueError as e:\n", " print(f\"No se pudo generar la gráfica. Error: {str(e)}\")\n", "\n", "# Asignar la función de generación de gráfico al evento \"change\" de las listas desplegables\n", "variable1_dropdown.observe(generate_chart, 'value')\n", "variable2_dropdown.observe(generate_chart, 'value')\n", "chart_type_dropdown.observe(generate_chart, 'value')\n", "values_dropdown.observe(generate_chart, 'value')\n", "\n", "# Mostrar las listas desplegables\n", "display(variable1_dropdown, variable2_dropdown, chart_type_dropdown, values_dropdown)\n", "\n" ] }, { "cell_type": "markdown", "id": "31741c4a", "metadata": {}, "source": [ "## Visualización personalizada que agrupa y cuenta los campos de productos y los muestra por municipios con gráficos de pie o barras\n", "\n", "Sirve para ver la variedad de productos que produce un municipio" ] }, { "cell_type": "code", "execution_count": 4, "id": "4d15bb18", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Campos disponibles:\n", "Index(['Año', 'Municipio', 'Area Sembrada', 'Area Cosechada',\n", " 'Produccion (ton)', 'Rendimiento (ha/ton)', 'Producto'],\n", " dtype='object')\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "fa133fdfb49a4dc8b4b49723159982b5", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Dropdown(description='Variable 1:', options=('Año', 'Municipio', 'Area Sembrada', 'Area Cosechada', 'Produccio…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "c1debea9667c4e22af08ddc34a9d0876", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Dropdown(description='Tipo de gráfico:', options=('bar', 'pie'), value='bar')" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Tabla de recuento de productos por municipio:\n", "Municipio\n", "CHIMA 17\n", "COTORRA 17\n", "LORICA 17\n", "MOMIL 24\n", "PURISIMA 12\n", "Name: Producto, dtype: int64\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import os\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import ipywidgets as widgets\n", "from IPython.display import display\n", "\n", "# Directorio que contiene los archivos CSV\n", "directory = \"./\"\n", "\n", "# Obtener la lista de archivos CSV en el directorio\n", "csv_files = [file for file in os.listdir(directory) if file.endswith(\".csv\")]\n", "\n", "# Verificar si hay archivos CSV en el directorio\n", "if len(csv_files) == 0:\n", " print(\"No se encontraron archivos CSV en el directorio especificado.\")\n", " exit()\n", "\n", "# Cargar los datos de los archivos CSV en un DataFrame\n", "dfs = []\n", "\n", "for file in csv_files:\n", " file_path = os.path.join(directory, file)\n", " try:\n", " df = pd.read_csv(file_path)\n", " # Agregar una columna \"Producto\" con el nombre del archivo sin la extensión\n", " df[\"Producto\"] = os.path.splitext(file)[0]\n", " dfs.append(df)\n", " except pd.errors.EmptyDataError:\n", " print(f\"El archivo {file} está vacío y no se puede cargar.\")\n", "\n", "# Verificar si se cargaron datos en el DataFrame\n", "if len(dfs) == 0:\n", " print(\"No se pudo cargar ningún archivo CSV con datos.\")\n", " exit()\n", "\n", "# Concatenar los DataFrames en uno solo\n", "data = pd.concat(dfs)\n", "\n", "# Mostrar los campos disponibles\n", "fields = data.columns\n", "print(\"Campos disponibles:\")\n", "print(fields)\n", "\n", "# Crear las listas desplegables para seleccionar las variables y el tipo de gráfico\n", "variable1_dropdown = widgets.Dropdown(options=fields, description=\"Variable 1:\")\n", "chart_type_dropdown = widgets.Dropdown(options=[\"bar\", \"pie\"], description=\"Tipo de gráfico:\")\n", "\n", "# Función para generar y mostrar el gráfico seleccionado\n", "def generate_chart(change):\n", " variable1 = variable1_dropdown.value\n", " chart_type = chart_type_dropdown.value\n", " \n", " # Realizar un recuento de los productos por municipio\n", " product_counts = data.groupby(\"Municipio\")[\"Producto\"].nunique()\n", " \n", " # Mostrar la tabla de recuento\n", " print(\"Tabla de recuento de productos por municipio:\")\n", " print(product_counts)\n", " \n", " # Crear la gráfica\n", " chart_title = f\"Gráfico de {chart_type} de distribución de productos por municipio\" # Título de la gráfica\n", " \n", " try:\n", " if chart_type == \"bar\":\n", " product_counts.plot(kind=chart_type, figsize=(10, 6))\n", " elif chart_type == \"pie\":\n", " product_counts.plot(kind=chart_type, figsize=(10, 6), autopct='%1.1f%%')\n", " plt.title(chart_title)\n", " plt.xlabel(\"Municipio\")\n", " plt.ylabel(\"Cantidad de productos\")\n", " plt.show()\n", " except ValueError as e:\n", " print(f\"No se pudo generar la gráfica. Error: {str(e)}\")\n", "\n", "# Asignar la función de generación de gráfico al evento \"change\" de las listas desplegables\n", "variable1_dropdown.observe(generate_chart, 'value')\n", "chart_type_dropdown.observe(generate_chart, 'value')\n", "\n", "# Mostrar las listas desplegables\n", "display(variable1_dropdown, chart_type_dropdown)\n" ] }, { "cell_type": "markdown", "id": "0663cd42", "metadata": {}, "source": [ "## FUNCIONAL:\n", "\n", "ver en el eje x (independiente) como variables por años y por municipios, en el eje y (dependiente) las columnas a elegir por lista desplegable: 'Area Sembrada', 'Area Cosechada', 'Produccion (ton)', 'Rendimiento (ha/ton)' , para un grupo determinado de productos que pueda seleccionar de un listado de todos de productos" ] }, { "cell_type": "code", "execution_count": 4, "id": "0e92436a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Campos disponibles:\n", "Index(['Año', 'Municipio', 'Area Sembrada', 'Area Cosechada',\n", " 'Produccion (ton)', 'Rendimiento (ha/ton)', 'Producto'],\n", " dtype='object')\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "5ebeb5293b174cb680d5b1d8e5c3f3b6", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Dropdown(description='Variable:', options=('Area Sembrada', 'Area Cosechada', 'Produccion (ton)', 'Rendimiento…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "2dda3d5f76f84fd0a58c7a097fc7bdd2", "version_major": 2, "version_minor": 0 }, "text/plain": [ "SelectMultiple(description='Productos:', options=('yuca', 'maiz-blanco-tecnificado', 'pepino-cohombro', 'arroz…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "25f0260aa2174e6fb7db9b55eac827f2", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Dropdown(description='Tipo de gráfico:', options=('bar', 'line', 'scatter'), value='bar')" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Tabla de pivote:\n", "Producto arroz-secano-manual\n", "Año Municipio \n", "2007.0 CHIMA 16.00\n", " COTORRA 180.00\n", " LORICA 345.00\n", " MOMIL 61.00\n", " PURISIMA 80.00\n", "2008.0 CHIMA 38.00\n", " COTORRA 210.00\n", " LORICA 350.00\n", " MOMIL 42.00\n", " PURISIMA 40.00\n", "2009.0 CHIMA 25.00\n", " COTORRA 150.00\n", " LORICA 332.00\n", " MOMIL 88.00\n", " PURISIMA 40.00\n", "2010.0 CHIMA 82.00\n", " COTORRA 350.00\n", " LORICA 637.00\n", " MOMIL 57.00\n", " PURISIMA 0.00\n", "2011.0 CHIMA 40.00\n", " COTORRA 350.00\n", " LORICA 646.00\n", " MOMIL 45.00\n", " PURISIMA 40.00\n", "2012.0 CHIMA 224.75\n", " COTORRA 300.00\n", " LORICA 637.00\n", " MOMIL 28.90\n", " PURISIMA 0.00\n", "2013.0 CHIMA 204.75\n", " COTORRA 600.00\n", " LORICA 500.00\n", " MOMIL 60.00\n", "2014.0 CHIMA 188.00\n", " COTORRA 600.00\n", " LORICA 500.00\n", " MOMIL 176.00\n", "2015.0 CHIMA 38.00\n", " COTORRA 95.00\n", " LORICA 300.00\n", " MOMIL 270.00\n", "2016.0 CHIMA 40.00\n", " LORICA 250.00\n", " MOMIL 110.00\n", " PURISIMA 21.00\n", "2017.0 CHIMA 72.00\n", " COTORRA 337.80\n", " LORICA 620.00\n", " MOMIL 0.00\n", " PURISIMA 22.00\n", "2018.0 CHIMA 73.31\n", " COTORRA 341.37\n", " LORICA 100.00\n", " PURISIMA 22.62\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Tabla de pivote:\n", "Producto arroz-secano-manual pepino-cohombro\n", "Año Municipio \n", "2007.0 CHIMA 16.00 NaN\n", " COTORRA 180.00 NaN\n", " LORICA 345.00 NaN\n", " MOMIL 61.00 NaN\n", " PURISIMA 80.00 NaN\n", "2008.0 CHIMA 38.00 NaN\n", " COTORRA 210.00 NaN\n", " LORICA 350.00 NaN\n", " MOMIL 42.00 NaN\n", " PURISIMA 40.00 NaN\n", "2009.0 CHIMA 25.00 NaN\n", " COTORRA 150.00 NaN\n", " LORICA 332.00 NaN\n", " MOMIL 88.00 NaN\n", " PURISIMA 40.00 NaN\n", "2010.0 CHIMA 82.00 NaN\n", " COTORRA 350.00 NaN\n", " LORICA 637.00 NaN\n", " MOMIL 57.00 NaN\n", " PURISIMA 0.00 NaN\n", "2011.0 CHIMA 40.00 NaN\n", " COTORRA 350.00 NaN\n", " LORICA 646.00 NaN\n", " MOMIL 45.00 NaN\n", " PURISIMA 40.00 NaN\n", "2012.0 CHIMA 224.75 NaN\n", " COTORRA 300.00 NaN\n", " LORICA 637.00 NaN\n", " MOMIL 28.90 NaN\n", " PURISIMA 0.00 NaN\n", "2013.0 CHIMA 204.75 NaN\n", " COTORRA 600.00 NaN\n", " LORICA 500.00 NaN\n", " MOMIL 60.00 NaN\n", "2014.0 CHIMA 188.00 NaN\n", " COTORRA 600.00 NaN\n", " LORICA 500.00 NaN\n", " MOMIL 176.00 NaN\n", "2015.0 CHIMA 38.00 NaN\n", " COTORRA 95.00 NaN\n", " LORICA 300.00 10.0\n", " MOMIL 270.00 NaN\n", "2016.0 CHIMA 40.00 NaN\n", " LORICA 250.00 12.0\n", " MOMIL 110.00 1.0\n", " PURISIMA 21.00 NaN\n", "2017.0 CHIMA 72.00 NaN\n", " COTORRA 337.80 NaN\n", " LORICA 620.00 12.0\n", " MOMIL 0.00 NaN\n", " PURISIMA 22.00 NaN\n", "2018.0 CHIMA 73.31 NaN\n", " COTORRA 341.37 NaN\n", " LORICA 100.00 NaN\n", " PURISIMA 22.62 NaN\n", "2019.0 LORICA NaN 13.0\n", "2020.0 LORICA NaN 14.0\n", "2021.0 LORICA NaN 15.0\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import os\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import ipywidgets as widgets\n", "from IPython.display import display\n", "\n", "# Directorio que contiene los archivos CSV\n", "directory = \"./\"\n", "\n", "# Obtener la lista de archivos CSV en el directorio\n", "csv_files = [file for file in os.listdir(directory) if file.endswith(\".csv\")]\n", "\n", "# Verificar si hay archivos CSV en el directorio\n", "if len(csv_files) == 0:\n", " print(\"No se encontraron archivos CSV en el directorio especificado.\")\n", " exit()\n", "\n", "# Cargar los datos de los archivos CSV en un DataFrame\n", "dfs = []\n", "\n", "for file in csv_files:\n", " file_path = os.path.join(directory, file)\n", " try:\n", " df = pd.read_csv(file_path)\n", " # Agregar la columna \"Producto\" con el nombre del archivo sin extensión\n", " df[\"Producto\"] = os.path.splitext(file)[0]\n", " dfs.append(df)\n", " except pd.errors.EmptyDataError:\n", " print(f\"El archivo {file} está vacío y no se puede cargar.\")\n", "\n", "# Verificar si se cargaron datos en el DataFrame\n", "if len(dfs) == 0:\n", " print(\"No se pudo cargar ningún archivo CSV con datos.\")\n", " exit()\n", "\n", "# Concatenar los DataFrames en uno solo\n", "data = pd.concat(dfs)\n", "\n", "# Mostrar los campos disponibles\n", "fields = data.columns\n", "print(\"Campos disponibles:\")\n", "print(fields)\n", "\n", "# Obtener la lista de productos\n", "product_list = data[\"Producto\"].unique()\n", "\n", "# Crear las listas desplegables para seleccionar las variables y el tipo de gráfico\n", "variable_dropdown = widgets.Dropdown(options=[\"Area Sembrada\", \"Area Cosechada\", \"Produccion (ton)\", \"Rendimiento (ha/ton)\"], description=\"Variable:\")\n", "product_dropdown = widgets.SelectMultiple(options=product_list, description=\"Productos:\")\n", "chart_type_dropdown = widgets.Dropdown(options=[\"bar\", \"line\", \"scatter\"], description=\"Tipo de gráfico:\")\n", "\n", "# Función para generar y mostrar el gráfico seleccionado\n", "def generate_chart(change):\n", " variable = variable_dropdown.value\n", " chart_type = chart_type_dropdown.value\n", " products_selected = product_dropdown.value\n", " \n", " # Filtrar el DataFrame por los productos seleccionados\n", " filtered_data = data[data[\"Producto\"].isin(products_selected)]\n", " \n", " # Crear la tabla de pivote\n", " pivot_table = pd.pivot_table(filtered_data, values=variable, index=[\"Año\", \"Municipio\"], columns=\"Producto\")\n", " \n", " # Mostrar la tabla de pivote\n", " print(\"Tabla de pivote:\")\n", " print(pivot_table)\n", " \n", " # Crear la gráfica\n", " chart_title = f\"Gráfico de {chart_type} de {variable} por Año y Municipio\" # Título de la gráfica\n", " \n", " try:\n", " if chart_type == \"bar\":\n", " pivot_table.plot(kind=chart_type, figsize=(10, 6))\n", " elif chart_type == \"line\":\n", " pivot_table.plot(kind=chart_type, figsize=(10, 6), marker=\"o\")\n", " elif chart_type == \"scatter\":\n", " pivot_table.plot(kind=chart_type, figsize=(10, 6), marker=\"o\")\n", " plt.title(chart_title)\n", " plt.xlabel(\"Año, Municipio\")\n", " plt.ylabel(variable)\n", " plt.show()\n", " except ValueError as e:\n", " print(f\"No se pudo generar la gráfica. Error: {str(e)}\")\n", "\n", "# Asignar la función de generación de gráfico al evento \"change\" de las listas desplegables\n", "variable_dropdown.observe(generate_chart, 'value')\n", "product_dropdown.observe(generate_chart, 'value')\n", "chart_type_dropdown.observe(generate_chart, 'value')\n", "\n", "# Mostrar las listas desplegables\n", "display(variable_dropdown, product_dropdown, chart_type_dropdown)\n" ] }, { "cell_type": "code", "execution_count": null, "id": "0b6544f0", "metadata": {}, "outputs": [], "source": [ "## FUNCIONAL EXPORTANDO A HTML" ] }, { "cell_type": "code", "execution_count": 5, "id": "2ed386e9", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Campos disponibles:\n", "Index(['Año', 'Municipio', 'Area Sembrada', 'Area Cosechada',\n", " 'Produccion (ton)', 'Rendimiento (ha/ton)', 'Producto'],\n", " dtype='object')\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "c85f512761bf4ccbb075f8cbf2120d08", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Dropdown(description='Variable:', options=('Area Sembrada', 'Area Cosechada', 'Produccion (ton)', 'Rendimiento…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "7ab5dfa4e82247dbac1558ea9246ec52", "version_major": 2, "version_minor": 0 }, "text/plain": [ "SelectMultiple(description='Productos:', options=('yuca', 'maiz-blanco-tecnificado', 'pepino-cohombro', 'arroz…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "a671ef1778074c82ac281aff0a71781b", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Dropdown(description='Tipo de gráfico:', options=('bar', 'line', 'scatter'), value='bar')" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "

Tabla de pivote:

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Producto
AñoMunicipio
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "ename": "TypeError", "evalue": "no numeric data to plot", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget.py:773\u001b[0m, in \u001b[0;36mWidget._handle_msg\u001b[0;34m(self, msg)\u001b[0m\n\u001b[1;32m 771\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbuffer_paths\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;129;01min\u001b[39;00m data:\n\u001b[1;32m 772\u001b[0m _put_buffers(state, data[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbuffer_paths\u001b[39m\u001b[38;5;124m'\u001b[39m], msg[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbuffers\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[0;32m--> 773\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset_state\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstate\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 775\u001b[0m \u001b[38;5;66;03m# Handle a state request.\u001b[39;00m\n\u001b[1;32m 776\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m method \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrequest_state\u001b[39m\u001b[38;5;124m'\u001b[39m:\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget.py:650\u001b[0m, in \u001b[0;36mWidget.set_state\u001b[0;34m(self, sync_data)\u001b[0m\n\u001b[1;32m 645\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_send(msg, buffers\u001b[38;5;241m=\u001b[39mecho_buffers)\n\u001b[1;32m 647\u001b[0m \u001b[38;5;66;03m# The order of these context managers is important. Properties must\u001b[39;00m\n\u001b[1;32m 648\u001b[0m \u001b[38;5;66;03m# be locked when the hold_trait_notification context manager is\u001b[39;00m\n\u001b[1;32m 649\u001b[0m \u001b[38;5;66;03m# released and notifications are fired.\u001b[39;00m\n\u001b[0;32m--> 650\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_lock_property(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39msync_data), \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhold_trait_notifications():\n\u001b[1;32m 651\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m sync_data:\n\u001b[1;32m 652\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mkeys:\n", "File \u001b[0;32m/usr/lib/python3.10/contextlib.py:142\u001b[0m, in \u001b[0;36m_GeneratorContextManager.__exit__\u001b[0;34m(self, typ, value, traceback)\u001b[0m\n\u001b[1;32m 140\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m typ \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 141\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 142\u001b[0m \u001b[38;5;28;43mnext\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgen\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 143\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mStopIteration\u001b[39;00m:\n\u001b[1;32m 144\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mFalse\u001b[39;00m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1502\u001b[0m, in \u001b[0;36mHasTraits.hold_trait_notifications\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1500\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m changes \u001b[38;5;129;01min\u001b[39;00m cache\u001b[38;5;241m.\u001b[39mvalues():\n\u001b[1;32m 1501\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m change \u001b[38;5;129;01min\u001b[39;00m changes:\n\u001b[0;32m-> 1502\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnotify_change\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget.py:701\u001b[0m, in \u001b[0;36mWidget.notify_change\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 698\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mkeys \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_should_send_property(name, \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, name)):\n\u001b[1;32m 699\u001b[0m \u001b[38;5;66;03m# Send new state to front-end\u001b[39;00m\n\u001b[1;32m 700\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msend_state(key\u001b[38;5;241m=\u001b[39mname)\n\u001b[0;32m--> 701\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnotify_change\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1517\u001b[0m, in \u001b[0;36mHasTraits.notify_change\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 1515\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mnotify_change\u001b[39m(\u001b[38;5;28mself\u001b[39m, change):\n\u001b[1;32m 1516\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Notify observers of a change event\"\"\"\u001b[39;00m\n\u001b[0;32m-> 1517\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_notify_observers\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1564\u001b[0m, in \u001b[0;36mHasTraits._notify_observers\u001b[0;34m(self, event)\u001b[0m\n\u001b[1;32m 1561\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(c, EventHandler) \u001b[38;5;129;01mand\u001b[39;00m c\u001b[38;5;241m.\u001b[39mname \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 1562\u001b[0m c \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, c\u001b[38;5;241m.\u001b[39mname)\n\u001b[0;32m-> 1564\u001b[0m \u001b[43mc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mevent\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget_selection.py:236\u001b[0m, in \u001b[0;36m_Selection._propagate_index\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 234\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlabel \u001b[38;5;241m=\u001b[39m label\n\u001b[1;32m 235\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mvalue \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m value:\n\u001b[0;32m--> 236\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalue\u001b[49m \u001b[38;5;241m=\u001b[39m value\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:732\u001b[0m, in \u001b[0;36mTraitType.__set__\u001b[0;34m(self, obj, value)\u001b[0m\n\u001b[1;32m 730\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m TraitError(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mThe \u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m trait is read-only.\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;241m%\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mname)\n\u001b[1;32m 731\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 732\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvalue\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:721\u001b[0m, in \u001b[0;36mTraitType.set\u001b[0;34m(self, obj, value)\u001b[0m\n\u001b[1;32m 717\u001b[0m silent \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m 718\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m silent \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[1;32m 719\u001b[0m \u001b[38;5;66;03m# we explicitly compare silent to True just in case the equality\u001b[39;00m\n\u001b[1;32m 720\u001b[0m \u001b[38;5;66;03m# comparison above returns something other than True/False\u001b[39;00m\n\u001b[0;32m--> 721\u001b[0m \u001b[43mobj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_notify_trait\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mold_value\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnew_value\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1505\u001b[0m, in \u001b[0;36mHasTraits._notify_trait\u001b[0;34m(self, name, old_value, new_value)\u001b[0m\n\u001b[1;32m 1504\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_notify_trait\u001b[39m(\u001b[38;5;28mself\u001b[39m, name, old_value, new_value):\n\u001b[0;32m-> 1505\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnotify_change\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1506\u001b[0m \u001b[43m \u001b[49m\u001b[43mBunch\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1507\u001b[0m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1508\u001b[0m \u001b[43m \u001b[49m\u001b[43mold\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mold_value\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1509\u001b[0m \u001b[43m \u001b[49m\u001b[43mnew\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnew_value\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1510\u001b[0m \u001b[43m \u001b[49m\u001b[43mowner\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1511\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mtype\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mchange\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1512\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1513\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget.py:701\u001b[0m, in \u001b[0;36mWidget.notify_change\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 698\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mkeys \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_should_send_property(name, \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, name)):\n\u001b[1;32m 699\u001b[0m \u001b[38;5;66;03m# Send new state to front-end\u001b[39;00m\n\u001b[1;32m 700\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msend_state(key\u001b[38;5;241m=\u001b[39mname)\n\u001b[0;32m--> 701\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnotify_change\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1517\u001b[0m, in \u001b[0;36mHasTraits.notify_change\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 1515\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mnotify_change\u001b[39m(\u001b[38;5;28mself\u001b[39m, change):\n\u001b[1;32m 1516\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Notify observers of a change event\"\"\"\u001b[39;00m\n\u001b[0;32m-> 1517\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_notify_observers\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1564\u001b[0m, in \u001b[0;36mHasTraits._notify_observers\u001b[0;34m(self, event)\u001b[0m\n\u001b[1;32m 1561\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(c, EventHandler) \u001b[38;5;129;01mand\u001b[39;00m c\u001b[38;5;241m.\u001b[39mname \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 1562\u001b[0m c \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, c\u001b[38;5;241m.\u001b[39mname)\n\u001b[0;32m-> 1564\u001b[0m \u001b[43mc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mevent\u001b[49m\u001b[43m)\u001b[49m\n", "Cell \u001b[0;32mIn[5], line 73\u001b[0m, in \u001b[0;36mgenerate_chart\u001b[0;34m(change)\u001b[0m\n\u001b[1;32m 71\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 72\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m chart_type \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbar\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m---> 73\u001b[0m \u001b[43mpivot_table\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mplot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkind\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mchart_type\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfigsize\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m10\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m6\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 74\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m chart_type \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mline\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 75\u001b[0m pivot_table\u001b[38;5;241m.\u001b[39mplot(kind\u001b[38;5;241m=\u001b[39mchart_type, figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m10\u001b[39m, \u001b[38;5;241m6\u001b[39m), marker\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mo\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/plotting/_core.py:975\u001b[0m, in \u001b[0;36mPlotAccessor.__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 972\u001b[0m label_name \u001b[38;5;241m=\u001b[39m label_kw \u001b[38;5;129;01mor\u001b[39;00m data\u001b[38;5;241m.\u001b[39mcolumns\n\u001b[1;32m 973\u001b[0m data\u001b[38;5;241m.\u001b[39mcolumns \u001b[38;5;241m=\u001b[39m label_name\n\u001b[0;32m--> 975\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mplot_backend\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mplot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkind\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mkind\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/plotting/_matplotlib/__init__.py:71\u001b[0m, in \u001b[0;36mplot\u001b[0;34m(data, kind, **kwargs)\u001b[0m\n\u001b[1;32m 69\u001b[0m kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124max\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(ax, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mleft_ax\u001b[39m\u001b[38;5;124m\"\u001b[39m, ax)\n\u001b[1;32m 70\u001b[0m plot_obj \u001b[38;5;241m=\u001b[39m PLOT_CLASSES[kind](data, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m---> 71\u001b[0m \u001b[43mplot_obj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgenerate\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 72\u001b[0m plot_obj\u001b[38;5;241m.\u001b[39mdraw()\n\u001b[1;32m 73\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m plot_obj\u001b[38;5;241m.\u001b[39mresult\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/plotting/_matplotlib/core.py:446\u001b[0m, in \u001b[0;36mMPLPlot.generate\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 444\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mgenerate\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 445\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_args_adjust()\n\u001b[0;32m--> 446\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_compute_plot_data\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 447\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_setup_subplots()\n\u001b[1;32m 448\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_make_plot()\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/plotting/_matplotlib/core.py:632\u001b[0m, in \u001b[0;36mMPLPlot._compute_plot_data\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 630\u001b[0m \u001b[38;5;66;03m# no non-numeric frames or series allowed\u001b[39;00m\n\u001b[1;32m 631\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_empty:\n\u001b[0;32m--> 632\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mno numeric data to plot\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 634\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata \u001b[38;5;241m=\u001b[39m numeric_data\u001b[38;5;241m.\u001b[39mapply(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_convert_to_ndarray)\n", "\u001b[0;31mTypeError\u001b[0m: no numeric data to plot" ] }, { "data": { "text/html": [ "

Tabla de pivote:

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Productoyuca
AñoMunicipio
2007.0CHIMA2850.00
COTORRA708.00
LORICA10260.00
MOMIL3950.00
PURISIMA4100.00
2008.0CHIMA2430.00
COTORRA60.00
LORICA13200.00
MOMIL2570.00
PURISIMA700.00
2009.0CHIMA510.00
COTORRA480.00
LORICA12000.00
MOMIL2429.00
PURISIMA700.00
2010.0CHIMA1125.00
COTORRA492.00
LORICA12320.00
MOMIL518.00
PURISIMA550.00
2011.0CHIMA783.00
COTORRA600.00
LORICA17400.00
MOMIL966.00
PURISIMA150.00
2012.0CHIMA1741.60
COTORRA600.00
LORICA12320.00
MOMIL1090.00
PURISIMA500.00
2013.0CHIMA1893.75
COTORRA600.00
LORICA13200.00
MOMIL3121.63
PURISIMA3230.00
2014.0CHIMA1190.00
COTORRA648.00
LORICA12000.00
MOMIL3121.63
PURISIMA1860.00
2015.0CHIMA480.00
COTORRA1120.00
LORICA13200.00
MOMIL1316.88
PURISIMA1800.00
2016.0CHIMA660.00
COTORRA840.00
LORICA17400.00
MOMIL3600.00
PURISIMA1770.00
2017.0CHIMA287.50
COTORRA612.00
LORICA10350.00
MOMIL890.00
PURISIMA1850.00
2018.0CHIMA920.00
COTORRA480.00
LORICA13500.00
MOMIL1460.00
PURISIMA1918.00
2019.0CHIMA462.00
COTORRA665.00
LORICA13430.00
MOMIL4353.60
PURISIMA2180.00
2020.0CHIMA186.00
COTORRA660.00
LORICA13260.00
MOMIL4692.00
PURISIMA3920.00
2021.0CHIMA540.00
COTORRA720.00
LORICA10000.00
MOMIL4381.00
PURISIMA2347.50
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "

Tabla de pivote:

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Productomaiz-blanco-tecnificadopepino-cohombroyuca
AñoMunicipio
2007.0CHIMANaNNaN2850.00
COTORRANaNNaN708.00
LORICANaNNaN10260.00
MOMILNaNNaN3950.00
PURISIMANaNNaN4100.00
2008.0CHIMANaNNaN2430.00
COTORRANaNNaN60.00
LORICANaNNaN13200.00
MOMILNaNNaN2570.00
PURISIMANaNNaN700.00
2009.0CHIMANaNNaN510.00
COTORRANaNNaN480.00
LORICANaNNaN12000.00
MOMILNaNNaN2429.00
PURISIMANaNNaN700.00
2010.0CHIMANaNNaN1125.00
COTORRANaNNaN492.00
LORICANaNNaN12320.00
MOMILNaNNaN518.00
PURISIMANaNNaN550.00
2011.0CHIMANaNNaN783.00
COTORRANaNNaN600.00
LORICANaNNaN17400.00
MOMILNaNNaN966.00
PURISIMANaNNaN150.00
2012.0CHIMANaNNaN1741.60
COTORRANaNNaN600.00
LORICANaNNaN12320.00
MOMILNaNNaN1090.00
PURISIMANaNNaN500.00
2013.0CHIMANaNNaN1893.75
COTORRANaNNaN600.00
LORICANaNNaN13200.00
MOMILNaNNaN3121.63
PURISIMANaNNaN3230.00
2014.0CHIMANaNNaN1190.00
COTORRANaNNaN648.00
LORICANaNNaN12000.00
MOMILNaNNaN3121.63
PURISIMANaNNaN1860.00
2015.0CHIMANaNNaN480.00
COTORRANaNNaN1120.00
LORICANaN0.0013200.00
MOMILNaNNaN1316.88
PURISIMANaNNaN1800.00
2016.0CHIMANaNNaN660.00
COTORRANaNNaN840.00
LORICANaN120.0017400.00
MOMILNaN0.753600.00
PURISIMANaNNaN1770.00
2017.0CHIMANaNNaN287.50
COTORRANaNNaN612.00
LORICANaN150.0010350.00
MOMILNaNNaN890.00
PURISIMANaNNaN1850.00
2018.0CHIMANaNNaN920.00
COTORRANaNNaN480.00
LORICANaNNaN13500.00
MOMILNaNNaN1460.00
PURISIMANaNNaN1918.00
2019.0CHIMANaNNaN462.00
COTORRANaNNaN665.00
LORICANaN71.5013430.00
MOMILNaNNaN4353.60
PURISIMANaNNaN2180.00
2020.0CHIMANaNNaN186.00
COTORRANaNNaN660.00
LORICANaN75.0013260.00
MOMILNaNNaN4692.00
PURISIMANaNNaN3920.00
2021.0CHIMA5505.00NaN540.00
COTORRA8962.00NaN720.00
LORICA2939.8390.0010000.00
MOMILNaNNaN4381.00
PURISIMANaNNaN2347.50
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "

Tabla de pivote:

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Productomaiz-blanco-tecnificado
AñoMunicipio
2021.0CHIMA5505.00
COTORRA8962.00
LORICA2939.83
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "

Tabla de pivote:

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Productoyuca
AñoMunicipio
2007.0CHIMA2850.00
COTORRA708.00
LORICA10260.00
MOMIL3950.00
PURISIMA4100.00
2008.0CHIMA2430.00
COTORRA60.00
LORICA13200.00
MOMIL2570.00
PURISIMA700.00
2009.0CHIMA510.00
COTORRA480.00
LORICA12000.00
MOMIL2429.00
PURISIMA700.00
2010.0CHIMA1125.00
COTORRA492.00
LORICA12320.00
MOMIL518.00
PURISIMA550.00
2011.0CHIMA783.00
COTORRA600.00
LORICA17400.00
MOMIL966.00
PURISIMA150.00
2012.0CHIMA1741.60
COTORRA600.00
LORICA12320.00
MOMIL1090.00
PURISIMA500.00
2013.0CHIMA1893.75
COTORRA600.00
LORICA13200.00
MOMIL3121.63
PURISIMA3230.00
2014.0CHIMA1190.00
COTORRA648.00
LORICA12000.00
MOMIL3121.63
PURISIMA1860.00
2015.0CHIMA480.00
COTORRA1120.00
LORICA13200.00
MOMIL1316.88
PURISIMA1800.00
2016.0CHIMA660.00
COTORRA840.00
LORICA17400.00
MOMIL3600.00
PURISIMA1770.00
2017.0CHIMA287.50
COTORRA612.00
LORICA10350.00
MOMIL890.00
PURISIMA1850.00
2018.0CHIMA920.00
COTORRA480.00
LORICA13500.00
MOMIL1460.00
PURISIMA1918.00
2019.0CHIMA462.00
COTORRA665.00
LORICA13430.00
MOMIL4353.60
PURISIMA2180.00
2020.0CHIMA186.00
COTORRA660.00
LORICA13260.00
MOMIL4692.00
PURISIMA3920.00
2021.0CHIMA540.00
COTORRA720.00
LORICA10000.00
MOMIL4381.00
PURISIMA2347.50
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "

Tabla de pivote:

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Productopepino-cohombroyuca
AñoMunicipio
2007.0CHIMANaN2850.00
COTORRANaN708.00
LORICANaN10260.00
MOMILNaN3950.00
PURISIMANaN4100.00
2008.0CHIMANaN2430.00
COTORRANaN60.00
LORICANaN13200.00
MOMILNaN2570.00
PURISIMANaN700.00
2009.0CHIMANaN510.00
COTORRANaN480.00
LORICANaN12000.00
MOMILNaN2429.00
PURISIMANaN700.00
2010.0CHIMANaN1125.00
COTORRANaN492.00
LORICANaN12320.00
MOMILNaN518.00
PURISIMANaN550.00
2011.0CHIMANaN783.00
COTORRANaN600.00
LORICANaN17400.00
MOMILNaN966.00
PURISIMANaN150.00
2012.0CHIMANaN1741.60
COTORRANaN600.00
LORICANaN12320.00
MOMILNaN1090.00
PURISIMANaN500.00
2013.0CHIMANaN1893.75
COTORRANaN600.00
LORICANaN13200.00
MOMILNaN3121.63
PURISIMANaN3230.00
2014.0CHIMANaN1190.00
COTORRANaN648.00
LORICANaN12000.00
MOMILNaN3121.63
PURISIMANaN1860.00
2015.0CHIMANaN480.00
COTORRANaN1120.00
LORICA0.0013200.00
MOMILNaN1316.88
PURISIMANaN1800.00
2016.0CHIMANaN660.00
COTORRANaN840.00
LORICA120.0017400.00
MOMIL0.753600.00
PURISIMANaN1770.00
2017.0CHIMANaN287.50
COTORRANaN612.00
LORICA150.0010350.00
MOMILNaN890.00
PURISIMANaN1850.00
2018.0CHIMANaN920.00
COTORRANaN480.00
LORICANaN13500.00
MOMILNaN1460.00
PURISIMANaN1918.00
2019.0CHIMANaN462.00
COTORRANaN665.00
LORICA71.5013430.00
MOMILNaN4353.60
PURISIMANaN2180.00
2020.0CHIMANaN186.00
COTORRANaN660.00
LORICA75.0013260.00
MOMILNaN4692.00
PURISIMANaN3920.00
2021.0CHIMANaN540.00
COTORRANaN720.00
LORICA90.0010000.00
MOMILNaN4381.00
PURISIMANaN2347.50
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "

Tabla de pivote:

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Productoarroz-secano-manualpepino-cohombroyuca
AñoMunicipio
2007.0CHIMA23.00NaN2850.00
COTORRA294.00NaN708.00
LORICA622.00NaN10260.00
MOMIL18.00NaN3950.00
PURISIMA120.00NaN4100.00
2008.0CHIMA36.00NaN2430.00
COTORRA301.00NaN60.00
LORICA640.00NaN13200.00
MOMIL22.80NaN2570.00
PURISIMA24.00NaN700.00
2009.0CHIMA80.00NaN510.00
COTORRA480.00NaN480.00
LORICA588.50NaN12000.00
MOMIL57.10NaN2429.00
PURISIMA24.00NaN700.00
2010.0CHIMA119.60NaN1125.00
COTORRA200.00NaN492.00
LORICA848.40NaN12320.00
MOMIL52.50NaN518.00
PURISIMA60.00NaN550.00
2011.0CHIMA125.50NaN783.00
COTORRA66.00NaN600.00
LORICA1734.40NaN17400.00
MOMIL28.00NaN966.00
PURISIMA12.00NaN150.00
2012.0CHIMA158.62NaN1741.60
COTORRA96.00NaN600.00
LORICA1608.40NaN12320.00
MOMIL11.20NaN1090.00
PURISIMA46.00NaN500.00
2013.0CHIMA268.07NaN1893.75
COTORRA1410.00NaN600.00
LORICA1170.40NaN13200.00
MOMIL125.90NaN3121.63
PURISIMANaNNaN3230.00
2014.0CHIMA208.80NaN1190.00
COTORRA2190.00NaN648.00
LORICA900.00NaN12000.00
MOMIL413.00NaN3121.63
PURISIMANaNNaN1860.00
2015.0CHIMA109.20NaN480.00
COTORRA1550.00NaN1120.00
LORICA900.000.0013200.00
MOMIL231.88NaN1316.88
PURISIMANaNNaN1800.00
2016.0CHIMA114.00NaN660.00
COTORRANaNNaN840.00
LORICA700.00120.0017400.00
MOMIL177.540.753600.00
PURISIMA45.00NaN1770.00
2017.0CHIMA189.00NaN287.50
COTORRA1013.40NaN612.00
LORICA2400.00150.0010350.00
MOMIL440.00NaN890.00
PURISIMA110.00NaN1850.00
2018.0CHIMA205.78NaN920.00
COTORRA1064.28NaN480.00
LORICA300.00NaN13500.00
MOMILNaNNaN1460.00
PURISIMA115.68NaN1918.00
2019.0CHIMANaNNaN462.00
COTORRANaNNaN665.00
LORICANaN71.5013430.00
MOMILNaNNaN4353.60
PURISIMANaNNaN2180.00
2020.0CHIMANaNNaN186.00
COTORRANaNNaN660.00
LORICANaN75.0013260.00
MOMILNaNNaN4692.00
PURISIMANaNNaN3920.00
2021.0CHIMANaNNaN540.00
COTORRANaNNaN720.00
LORICANaN90.0010000.00
MOMILNaNNaN4381.00
PURISIMANaNNaN2347.50
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "

Tabla de pivote:

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Productoarroz-secano-manualhortalizas-variaspepino-cohombroyuca
AñoMunicipio
2007.0CHIMA23.00NaNNaN2850.00
COTORRA294.00NaNNaN708.00
LORICA622.00NaNNaN10260.00
MOMIL18.00NaNNaN3950.00
PURISIMA120.00NaNNaN4100.00
2008.0CHIMA36.00NaNNaN2430.00
COTORRA301.00NaNNaN60.00
LORICA640.00NaNNaN13200.00
MOMIL22.80NaNNaN2570.00
PURISIMA24.00NaNNaN700.00
2009.0CHIMA80.00NaNNaN510.00
COTORRA480.00NaNNaN480.00
LORICA588.50NaNNaN12000.00
MOMIL57.10NaNNaN2429.00
PURISIMA24.00NaNNaN700.00
2010.0CHIMA119.60NaNNaN1125.00
COTORRA200.00NaNNaN492.00
LORICA848.40NaNNaN12320.00
MOMIL52.50NaNNaN518.00
PURISIMA60.00NaNNaN550.00
2011.0CHIMA125.50NaNNaN783.00
COTORRA66.00NaNNaN600.00
LORICA1734.40NaNNaN17400.00
MOMIL28.00NaNNaN966.00
PURISIMA12.00NaNNaN150.00
2012.0CHIMA158.62NaNNaN1741.60
COTORRA96.00NaNNaN600.00
LORICA1608.40NaNNaN12320.00
MOMIL11.2011.0NaN1090.00
PURISIMA46.00NaNNaN500.00
2013.0CHIMA268.07NaNNaN1893.75
COTORRA1410.0090.0NaN600.00
LORICA1170.40NaNNaN13200.00
MOMIL125.9010.0NaN3121.63
PURISIMANaNNaNNaN3230.00
2014.0CHIMA208.80NaNNaN1190.00
COTORRA2190.0090.0NaN648.00
LORICA900.00NaNNaN12000.00
MOMIL413.00NaNNaN3121.63
PURISIMANaNNaNNaN1860.00
2015.0CHIMA109.20NaNNaN480.00
COTORRA1550.0035.0NaN1120.00
LORICA900.00NaN0.0013200.00
MOMIL231.882.4NaN1316.88
PURISIMANaNNaNNaN1800.00
2016.0CHIMA114.00NaNNaN660.00
COTORRANaNNaNNaN840.00
LORICA700.00NaN120.0017400.00
MOMIL177.54NaN0.753600.00
PURISIMA45.00NaNNaN1770.00
2017.0CHIMA189.00NaNNaN287.50
COTORRA1013.40NaNNaN612.00
LORICA2400.00NaN150.0010350.00
MOMIL440.00NaNNaN890.00
PURISIMA110.00NaNNaN1850.00
2018.0CHIMA205.78NaNNaN920.00
COTORRA1064.28NaNNaN480.00
LORICA300.00NaNNaN13500.00
MOMILNaNNaNNaN1460.00
PURISIMA115.68NaNNaN1918.00
2019.0CHIMANaNNaNNaN462.00
COTORRANaNNaNNaN665.00
LORICANaNNaN71.5013430.00
MOMILNaNNaNNaN4353.60
PURISIMANaNNaNNaN2180.00
2020.0CHIMANaNNaNNaN186.00
COTORRANaNNaNNaN660.00
LORICANaNNaN75.0013260.00
MOMILNaNNaNNaN4692.00
PURISIMANaNNaNNaN3920.00
2021.0CHIMANaNNaNNaN540.00
COTORRANaNNaNNaN720.00
LORICANaNNaN90.0010000.00
MOMILNaNNaNNaN4381.00
PURISIMANaNNaNNaN2347.50
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "

Tabla de pivote:

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Productoarroz-secano-manualhortalizas-variasmangopepino-cohombroyuca
AñoMunicipio
2007.0CHIMA23.00NaNNaNNaN2850.00
COTORRA294.00NaN80.0NaN708.00
LORICA622.00NaNNaNNaN10260.00
MOMIL18.00NaNNaNNaN3950.00
PURISIMA120.00NaNNaNNaN4100.00
2008.0CHIMA36.00NaNNaNNaN2430.00
COTORRA301.00NaNNaNNaN60.00
LORICA640.00NaNNaNNaN13200.00
MOMIL22.80NaNNaNNaN2570.00
PURISIMA24.00NaNNaNNaN700.00
2009.0CHIMA80.00NaNNaNNaN510.00
COTORRA480.00NaNNaNNaN480.00
LORICA588.50NaNNaNNaN12000.00
MOMIL57.10NaNNaNNaN2429.00
PURISIMA24.00NaNNaNNaN700.00
2010.0CHIMA119.60NaNNaNNaN1125.00
COTORRA200.00NaNNaNNaN492.00
LORICA848.40NaNNaNNaN12320.00
MOMIL52.50NaNNaNNaN518.00
PURISIMA60.00NaNNaNNaN550.00
2011.0CHIMA125.50NaNNaNNaN783.00
COTORRA66.00NaNNaNNaN600.00
LORICA1734.40NaNNaNNaN17400.00
MOMIL28.00NaNNaNNaN966.00
PURISIMA12.00NaNNaNNaN150.00
2012.0CHIMA158.62NaNNaNNaN1741.60
COTORRA96.00NaNNaNNaN600.00
LORICA1608.40NaNNaNNaN12320.00
MOMIL11.2011.0NaNNaN1090.00
PURISIMA46.00NaNNaNNaN500.00
2013.0CHIMA268.07NaNNaNNaN1893.75
COTORRA1410.0090.0NaNNaN600.00
LORICA1170.40NaN1290.0NaN13200.00
MOMIL125.9010.0NaNNaN3121.63
PURISIMANaNNaNNaNNaN3230.00
2014.0CHIMA208.80NaNNaNNaN1190.00
COTORRA2190.0090.0NaNNaN648.00
LORICA900.00NaN1290.0NaN12000.00
MOMIL413.00NaNNaNNaN3121.63
PURISIMANaNNaNNaNNaN1860.00
2015.0CHIMA109.20NaNNaNNaN480.00
COTORRA1550.0035.0NaNNaN1120.00
LORICA900.00NaN1225.50.0013200.00
MOMIL231.882.4NaNNaN1316.88
PURISIMANaNNaNNaNNaN1800.00
2016.0CHIMA114.00NaNNaNNaN660.00
COTORRANaNNaNNaNNaN840.00
LORICA700.00NaN1720.0120.0017400.00
MOMIL177.54NaN0.00.753600.00
PURISIMA45.00NaNNaNNaN1770.00
2017.0CHIMA189.00NaNNaNNaN287.50
COTORRA1013.40NaNNaNNaN612.00
LORICA2400.00NaN3440.0150.0010350.00
MOMIL440.00NaN0.0NaN890.00
PURISIMA110.00NaNNaNNaN1850.00
2018.0CHIMA205.78NaNNaNNaN920.00
COTORRA1064.28NaNNaNNaN480.00
LORICA300.00NaN3440.0NaN13500.00
MOMILNaNNaN0.0NaN1460.00
PURISIMA115.68NaNNaNNaN1918.00
2019.0CHIMANaNNaNNaNNaN462.00
COTORRANaNNaNNaNNaN665.00
LORICANaNNaN3200.071.5013430.00
MOMILNaNNaN175.0NaN4353.60
PURISIMANaNNaNNaNNaN2180.00
2020.0CHIMANaNNaNNaNNaN186.00
COTORRANaNNaNNaNNaN660.00
LORICANaNNaN3600.075.0013260.00
MOMILNaNNaN93.0NaN4692.00
PURISIMANaNNaNNaNNaN3920.00
2021.0CHIMANaNNaNNaNNaN540.00
COTORRANaNNaNNaNNaN720.00
LORICANaNNaN1840.090.0010000.00
MOMILNaNNaN201.5NaN4381.00
PURISIMANaNNaNNaNNaN2347.50
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "

Tabla de pivote:

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Productoarroz-secano-manualhortalizas-variasmangopepino-cohombrotomateyuca
AñoMunicipio
2007.0CHIMA23.00NaNNaNNaNNaN2850.00
COTORRA294.00NaN80.0NaN480.0708.00
LORICA622.00NaNNaNNaNNaN10260.00
MOMIL18.00NaNNaNNaNNaN3950.00
PURISIMA120.00NaNNaNNaNNaN4100.00
2008.0CHIMA36.00NaNNaNNaNNaN2430.00
COTORRA301.00NaNNaNNaN360.060.00
LORICA640.00NaNNaNNaNNaN13200.00
MOMIL22.80NaNNaNNaNNaN2570.00
PURISIMA24.00NaNNaNNaNNaN700.00
2009.0CHIMA80.00NaNNaNNaNNaN510.00
COTORRA480.00NaNNaNNaN0.0480.00
LORICA588.50NaNNaNNaNNaN12000.00
MOMIL57.10NaNNaNNaNNaN2429.00
PURISIMA24.00NaNNaNNaNNaN700.00
2010.0CHIMA119.60NaNNaNNaNNaN1125.00
COTORRA200.00NaNNaNNaN10.0492.00
LORICA848.40NaNNaNNaNNaN12320.00
MOMIL52.50NaNNaNNaNNaN518.00
PURISIMA60.00NaNNaNNaNNaN550.00
2011.0CHIMA125.50NaNNaNNaNNaN783.00
COTORRA66.00NaNNaNNaN0.0600.00
LORICA1734.40NaNNaNNaNNaN17400.00
MOMIL28.00NaNNaNNaNNaN966.00
PURISIMA12.00NaNNaNNaNNaN150.00
2012.0CHIMA158.62NaNNaNNaNNaN1741.60
COTORRA96.00NaNNaNNaN21.0600.00
LORICA1608.40NaNNaNNaNNaN12320.00
MOMIL11.2011.0NaNNaNNaN1090.00
PURISIMA46.00NaNNaNNaNNaN500.00
2013.0CHIMA268.07NaNNaNNaNNaN1893.75
COTORRA1410.0090.0NaNNaN30.0600.00
LORICA1170.40NaN1290.0NaNNaN13200.00
MOMIL125.9010.0NaNNaNNaN3121.63
PURISIMANaNNaNNaNNaNNaN3230.00
2014.0CHIMA208.80NaNNaNNaNNaN1190.00
COTORRA2190.0090.0NaNNaN57.0648.00
LORICA900.00NaN1290.0NaNNaN12000.00
MOMIL413.00NaNNaNNaNNaN3121.63
PURISIMANaNNaNNaNNaNNaN1860.00
2015.0CHIMA109.20NaNNaNNaNNaN480.00
COTORRA1550.0035.0NaNNaN42.51120.00
LORICA900.00NaN1225.50.00NaN13200.00
MOMIL231.882.4NaNNaNNaN1316.88
PURISIMANaNNaNNaNNaNNaN1800.00
2016.0CHIMA114.00NaNNaNNaNNaN660.00
COTORRANaNNaNNaNNaN20.0840.00
LORICA700.00NaN1720.0120.00NaN17400.00
MOMIL177.54NaN0.00.75NaN3600.00
PURISIMA45.00NaNNaNNaNNaN1770.00
2017.0CHIMA189.00NaNNaNNaNNaN287.50
COTORRA1013.40NaNNaNNaNNaN612.00
LORICA2400.00NaN3440.0150.00NaN10350.00
MOMIL440.00NaN0.0NaNNaN890.00
PURISIMA110.00NaNNaNNaNNaN1850.00
2018.0CHIMA205.78NaNNaNNaNNaN920.00
COTORRA1064.28NaNNaNNaNNaN480.00
LORICA300.00NaN3440.0NaNNaN13500.00
MOMILNaNNaN0.0NaNNaN1460.00
PURISIMA115.68NaNNaNNaNNaN1918.00
2019.0CHIMANaNNaNNaNNaNNaN462.00
COTORRANaNNaNNaNNaNNaN665.00
LORICANaNNaN3200.071.50NaN13430.00
MOMILNaNNaN175.0NaNNaN4353.60
PURISIMANaNNaNNaNNaNNaN2180.00
2020.0CHIMANaNNaNNaNNaNNaN186.00
COTORRANaNNaNNaNNaNNaN660.00
LORICANaNNaN3600.075.00NaN13260.00
MOMILNaNNaN93.0NaNNaN4692.00
PURISIMANaNNaNNaNNaNNaN3920.00
2021.0CHIMANaNNaNNaNNaNNaN540.00
COTORRANaNNaNNaNNaNNaN720.00
LORICANaNNaN1840.090.00NaN10000.00
MOMILNaNNaN201.5NaNNaN4381.00
PURISIMANaNNaNNaNNaNNaN2347.50
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "

Tabla de pivote:

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Productoarroz-secano-manualcocohortalizas-variasmangopepino-cohombrotomateyuca
AñoMunicipio
2007.0CHIMA23.00NaNNaNNaNNaNNaN2850.00
COTORRA294.00240.00NaN80.0NaN480.0708.00
LORICA622.00NaNNaNNaNNaNNaN10260.00
MOMIL18.00NaNNaNNaNNaNNaN3950.00
PURISIMA120.00NaNNaNNaNNaNNaN4100.00
2008.0CHIMA36.00NaNNaNNaNNaNNaN2430.00
COTORRA301.00NaNNaNNaNNaN360.060.00
LORICA640.00NaNNaNNaNNaNNaN13200.00
MOMIL22.80NaNNaNNaNNaNNaN2570.00
PURISIMA24.00NaNNaNNaNNaNNaN700.00
2009.0CHIMA80.00NaNNaNNaNNaNNaN510.00
COTORRA480.00NaNNaNNaNNaN0.0480.00
LORICA588.50NaNNaNNaNNaNNaN12000.00
MOMIL57.100.00NaNNaNNaNNaN2429.00
PURISIMA24.00NaNNaNNaNNaNNaN700.00
2010.0CHIMA119.60NaNNaNNaNNaNNaN1125.00
COTORRA200.00NaNNaNNaNNaN10.0492.00
LORICA848.40NaNNaNNaNNaNNaN12320.00
MOMIL52.500.00NaNNaNNaNNaN518.00
PURISIMA60.00NaNNaNNaNNaNNaN550.00
2011.0CHIMA125.50NaNNaNNaNNaNNaN783.00
COTORRA66.00NaNNaNNaNNaN0.0600.00
LORICA1734.40NaNNaNNaNNaNNaN17400.00
MOMIL28.0070.00NaNNaNNaNNaN966.00
PURISIMA12.00NaNNaNNaNNaNNaN150.00
2012.0CHIMA158.62NaNNaNNaNNaNNaN1741.60
COTORRA96.00NaNNaNNaNNaN21.0600.00
LORICA1608.40NaNNaNNaNNaNNaN12320.00
MOMIL11.20122.5011.0NaNNaNNaN1090.00
PURISIMA46.00NaNNaNNaNNaNNaN500.00
2013.0CHIMA268.07NaNNaNNaNNaNNaN1893.75
COTORRA1410.00NaN90.0NaNNaN30.0600.00
LORICA1170.40NaNNaN1290.0NaNNaN13200.00
MOMIL125.90120.0010.0NaNNaNNaN3121.63
PURISIMANaNNaNNaNNaNNaNNaN3230.00
2014.0CHIMA208.80NaNNaNNaNNaNNaN1190.00
COTORRA2190.00NaN90.0NaNNaN57.0648.00
LORICA900.00NaNNaN1290.0NaNNaN12000.00
MOMIL413.00130.00NaNNaNNaNNaN3121.63
PURISIMANaNNaNNaNNaNNaNNaN1860.00
2015.0CHIMA109.20NaNNaNNaNNaNNaN480.00
COTORRA1550.00NaN35.0NaNNaN42.51120.00
LORICA900.00NaNNaN1225.50.00NaN13200.00
MOMIL231.88130.002.4NaNNaNNaN1316.88
PURISIMANaNNaNNaNNaNNaNNaN1800.00
2016.0CHIMA114.00NaNNaNNaNNaNNaN660.00
COTORRANaNNaNNaNNaNNaN20.0840.00
LORICA700.00NaNNaN1720.0120.00NaN17400.00
MOMIL177.5440.00NaN0.00.75NaN3600.00
PURISIMA45.00NaNNaNNaNNaNNaN1770.00
2017.0CHIMA189.00NaNNaNNaNNaNNaN287.50
COTORRA1013.40NaNNaNNaNNaNNaN612.00
LORICA2400.00400.00NaN3440.0150.00NaN10350.00
MOMIL440.0060.00NaN0.0NaNNaN890.00
PURISIMA110.00NaNNaNNaNNaNNaN1850.00
2018.0CHIMA205.78NaNNaNNaNNaNNaN920.00
COTORRA1064.28NaNNaNNaNNaNNaN480.00
LORICA300.00400.00NaN3440.0NaNNaN13500.00
MOMILNaN60.00NaN0.0NaNNaN1460.00
PURISIMA115.68NaNNaNNaNNaNNaN1918.00
2019.0CHIMANaNNaNNaNNaNNaNNaN462.00
COTORRANaN120.00NaNNaNNaNNaN665.00
LORICANaN450.00NaN3200.071.50NaN13430.00
MOMILNaN12.00NaN175.0NaNNaN4353.60
PURISIMANaNNaNNaNNaNNaNNaN2180.00
2020.0CHIMANaNNaNNaNNaNNaNNaN186.00
COTORRANaN120.00NaNNaNNaNNaN660.00
LORICANaN451.08NaN3600.075.00NaN13260.00
MOMILNaN14.00NaN93.0NaNNaN4692.00
PURISIMANaNNaNNaNNaNNaNNaN3920.00
2021.0CHIMANaNNaNNaNNaNNaNNaN540.00
COTORRANaN70.00NaNNaNNaNNaN720.00
LORICANaN490.00NaN1840.090.00NaN10000.00
MOMILNaN30.10NaN201.5NaNNaN4381.00
PURISIMANaNNaNNaNNaNNaNNaN2347.50
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "

Tabla de pivote:

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Productoarroz-secano-manualcocofrutales-varioshortalizas-variasmangopepino-cohombrotomateyuca
AñoMunicipio
2007.0CHIMA23.00NaNNaNNaNNaNNaNNaN2850.00
COTORRA294.00240.00NaNNaN80.0NaN480.0708.00
LORICA622.00NaNNaNNaNNaNNaNNaN10260.00
MOMIL18.00NaNNaNNaNNaNNaNNaN3950.00
PURISIMA120.00NaNNaNNaNNaNNaNNaN4100.00
2008.0CHIMA36.00NaNNaNNaNNaNNaNNaN2430.00
COTORRA301.00NaNNaNNaNNaNNaN360.060.00
LORICA640.00NaNNaNNaNNaNNaNNaN13200.00
MOMIL22.80NaNNaNNaNNaNNaNNaN2570.00
PURISIMA24.00NaNNaNNaNNaNNaNNaN700.00
2009.0CHIMA80.00NaNNaNNaNNaNNaNNaN510.00
COTORRA480.00NaNNaNNaNNaNNaN0.0480.00
LORICA588.50NaNNaNNaNNaNNaNNaN12000.00
MOMIL57.100.00NaNNaNNaNNaNNaN2429.00
PURISIMA24.00NaNNaNNaNNaNNaNNaN700.00
2010.0CHIMA119.60NaNNaNNaNNaNNaNNaN1125.00
COTORRA200.00NaNNaNNaNNaNNaN10.0492.00
LORICA848.40NaNNaNNaNNaNNaNNaN12320.00
MOMIL52.500.00NaNNaNNaNNaNNaN518.00
PURISIMA60.00NaNNaNNaNNaNNaNNaN550.00
2011.0CHIMA125.50NaNNaNNaNNaNNaNNaN783.00
COTORRA66.00NaNNaNNaNNaNNaN0.0600.00
LORICA1734.40NaNNaNNaNNaNNaNNaN17400.00
MOMIL28.0070.00NaNNaNNaNNaNNaN966.00
PURISIMA12.00NaNNaNNaNNaNNaNNaN150.00
2012.0CHIMA158.62NaNNaNNaNNaNNaNNaN1741.60
COTORRA96.00NaNNaNNaNNaNNaN21.0600.00
LORICA1608.40NaNNaNNaNNaNNaNNaN12320.00
MOMIL11.20122.50NaN11.0NaNNaNNaN1090.00
PURISIMA46.00NaNNaNNaNNaNNaNNaN500.00
2013.0CHIMA268.07NaNNaNNaNNaNNaNNaN1893.75
COTORRA1410.00NaNNaN90.0NaNNaN30.0600.00
LORICA1170.40NaNNaNNaN1290.0NaNNaN13200.00
MOMIL125.90120.00NaN10.0NaNNaNNaN3121.63
PURISIMANaNNaNNaNNaNNaNNaNNaN3230.00
2014.0CHIMA208.80NaNNaNNaNNaNNaNNaN1190.00
COTORRA2190.00NaNNaN90.0NaNNaN57.0648.00
LORICA900.00NaNNaNNaN1290.0NaNNaN12000.00
MOMIL413.00130.00NaNNaNNaNNaNNaN3121.63
PURISIMANaNNaNNaNNaNNaNNaNNaN1860.00
2015.0CHIMA109.20NaNNaNNaNNaNNaNNaN480.00
COTORRA1550.00NaNNaN35.0NaNNaN42.51120.00
LORICA900.00NaNNaNNaN1225.50.00NaN13200.00
MOMIL231.88130.00NaN2.4NaNNaNNaN1316.88
PURISIMANaNNaNNaNNaNNaNNaNNaN1800.00
2016.0CHIMA114.00NaNNaNNaNNaNNaNNaN660.00
COTORRANaNNaNNaNNaNNaNNaN20.0840.00
LORICA700.00NaNNaNNaN1720.0120.00NaN17400.00
MOMIL177.5440.00NaNNaN0.00.75NaN3600.00
PURISIMA45.00NaNNaNNaNNaNNaNNaN1770.00
2017.0CHIMA189.00NaNNaNNaNNaNNaNNaN287.50
COTORRA1013.40NaNNaNNaNNaNNaNNaN612.00
LORICA2400.00400.00NaNNaN3440.0150.00NaN10350.00
MOMIL440.0060.00NaNNaN0.0NaNNaN890.00
PURISIMA110.00NaNNaNNaNNaNNaNNaN1850.00
2018.0CHIMA205.78NaNNaNNaNNaNNaNNaN920.00
COTORRA1064.28NaNNaNNaNNaNNaNNaN480.00
LORICA300.00400.00NaNNaN3440.0NaNNaN13500.00
MOMILNaN60.00NaNNaN0.0NaNNaN1460.00
PURISIMA115.68NaNNaNNaNNaNNaNNaN1918.00
2019.0CHIMANaNNaN10.0NaNNaNNaNNaN462.00
COTORRANaN120.00NaNNaNNaNNaNNaN665.00
LORICANaN450.00NaNNaN3200.071.50NaN13430.00
MOMILNaN12.00NaNNaN175.0NaNNaN4353.60
PURISIMANaNNaNNaNNaNNaNNaNNaN2180.00
2020.0CHIMANaNNaN10.0NaNNaNNaNNaN186.00
COTORRANaN120.00NaNNaNNaNNaNNaN660.00
LORICANaN451.08NaNNaN3600.075.00NaN13260.00
MOMILNaN14.00NaNNaN93.0NaNNaN4692.00
PURISIMANaNNaNNaNNaNNaNNaNNaN3920.00
2021.0CHIMANaNNaN10.0NaNNaNNaNNaN540.00
COTORRANaN70.00NaNNaNNaNNaNNaN720.00
LORICANaN490.00NaNNaN1840.090.00NaN10000.00
MOMILNaN30.10NaNNaN201.5NaNNaN4381.00
PURISIMANaNNaNNaNNaNNaNNaNNaN2347.50
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAA2YAAAKdCAYAAABI93qQAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAADlU0lEQVR4nOzdd1QU19sH8O/S+0qRpggoiKLYG1jAChbUaESFUEQxNrBGowmKibH9NPYYY1SsQYw1alDsXbEQC9gQBSMIUYooUuf9w8O8Lk1QcBW+n3P2hL1z585zZ0v28d65IxEEQQARERERERHJjYK8AyAiIiIiIqrumJgRERERERHJGRMzIiIiIiIiOWNiRkREREREJGdMzIiIiIiIiOSMiRkREREREZGcMTEjIiIiIiKSMyZmREREREREcsbEjIiIiIiISM6YmBFRmXl5ecHa2hrJycnyDoWIiIioSmFiRlQFXb9+HcOHD0e9evWgrq4OdXV1WFtb4+uvv8bly5ffq801a9bg0KFDOHToEGrWrFlk+/bt29GoUSOoq6tDIpEgMjISQUFBkEgkH9qdChEcHAyJRIKHDx9WaHvvez4rU0X39cSJE5BIJOJDUVERRkZGGDRoEKKjoyvkGO9iYWEBHx+fj3Ksksj7/ZyamgoDAwOEhISIZQcPHkRQUNBHOf7Ro0ehpaWFf//996Mcr6INGDAAEokE48aNK7Wev78/tLW14evriydPnsDExARxcXEfKcrSvf1ZDA4OLrZOly5dIJFIYGFhUenxvO/nUiKRvPf71sfH56P0jUgemJgRVTFr1qxBy5YtcfHiRYwfPx779+/HgQMHMGHCBNy6dQutW7dGTExMudq8du0avv/+exw8eBB169Ytsj05ORmenp6oV68ewsLCcP78edSvXx8jRozA+fPnK6prJGdz587F+fPncfz4cUybNg3h4eFo3779Z/tDvbzk/X6ePXs2TE1NMXjwYLHs4MGDmD179kc5fteuXdGmTRvMmDHjoxyvIiUlJWH//v0AgK1bt+L169fF1svIyMCaNWuwefNmvHz5ElZWVujWrRvq1KnzMcN9J21tbaxbt65IeWxsLE6cOAEdHZ2PEsfu3bsRGBhY7v3Onz+PESNGvNcxAwMDsXv37vfal+hTpyTvAIio4pw9exZjxoxB79698eeff0JFRUXc1qVLF4wdOxY7duyAurp6qe28evUKGhoa4vPmzZuXOn3x7t27yMnJwVdffQVHR0exXENDA7Vr1/6AHlHh10KerK2t0a5dOwBAp06dUKNGDQwfPhzBwcH47rvvit3nU4r/Q9WuXVtu7+fnz59jzZo1WLJkiVxH7caOHYvBgwdjzpw5MDMzk1scb8vMzHznd9qmTZuQk5OD3r1748CBA9i1axfc3d2L1NPS0kJ2djYAoH///pURboUYPHgwfv/9d9y7dw/W1tZi+fr161GrVi3Y2dkhKiqq0uNo3rz5e+1X8D3yPurVq/fe+xJ96jhiRlSFzJ07F4qKilizZo1MUva2QYMGwdTUVHzu4+MDLS0t3LhxAz169IC2tja6du0KAAgPD0e/fv1Qu3ZtqKmpwcrKCl9//TX+++8/mf07dOgA4M2PBYlEAicnJwAlT/3atm0b7O3toaWlBS0tLTRr1qzIv/6uX78eTZs2hZqaGvT09PDFF1+UedrchQsX0L59e6ipqcHU1BTTp09HTk5OsXW3b98Oe3t7aGpqQktLC87Ozrh27VqZjgMAKSkpGDZsGPT09KCpqQlXV1c8ePBApk5ZziPw/+fr6tWr+PLLL6Grq/vOHyEfs6+FFfy4evTo0Tvjf/36NaZPnw5LS0uoqKigVq1aGDt2LFJTU2XazMnJwdSpU2FsbAwNDQ106NABly5dKnLskt5bJU3jLMt7LiwsDF27doVUKoWGhgYaNmyIefPmlXrM/Px8LFy4EA0aNICqqioMDQ3h5eWFx48fy9RzcnJC48aNERERgY4dO0JDQwN169bF/PnzkZ+fX8pZ/v9+5ebmyoyW+fj4YNWqVQAgM9W0oO9lPecWFhbo06cPwsLC0KJFC6irq6NBgwZYv359kThcXV2hpaWFtWvXvjPmgu+WW7duoWvXrtDU1ETNmjUxbtw4vHr1SqZueWPdtWsXmjdvDjU1tTKNGK5fvx5GRkbYuHEj1NXVi+1bwXvn+PHjGD16NAwMDKCvr48BAwbgyZMnMnXL+roXdvr0aUgkEvzxxx9Ftm3atAkSiQQRERHv7E/37t1hZmYm04/8/Hxs3LgR3t7eUFCQ/Xn38OHDEqc/Fp5WWPA+v3XrFoYOHQqpVAojIyP4+voiLS1NZt/ipjKmpqZi8uTJqFu3rnhuevXqhdu3b5d4zIJzHx4e/s7v0+KmMpb1/UP0qWNiRlRF5OXl4fjx42jVqhVMTEzKtW92djb69u2LLl26YO/eveIPnbt376J169ZYuXIlDh06hJkzZ+LChQvo0KGD+OM/MDBQ/HFYMNXtl19+KfFYM2fOhIeHB0xNTREcHIzdu3fD29tb/HEPAPPmzcPw4cPRqFEj7Nq1C8uWLcP169dhb2+Pe/fuldqXqKgodO3aFampqQgODsavv/6Ka9euYc6cOUXqzp07F0OHDoWtrS1CQ0OxefNmvHjxAh07dizzvzYPHz4cCgoK2LZtG5YuXYpLly7ByclJ5gdBTEwM7O3tsXr1ahw+fBgzZ87ExYsXZc7j2wYMGAArKyvs2LEDv/766yfT18Lu378PAEWuOSwcvyAI6N+/PxYtWgRPT08cOHAAkyZNwsaNG9GlSxdkZWWJ+/r5+WHRokXw8vLC3r17MXDgQAwYMAApKSnvFSNQtvfcunXr0KtXL+Tn5+PXX3/FX3/9hYCAgHf+0B49ejSmTZuG7t27Y9++ffjxxx8RFhYGBweHIol3YmIiPDw88NVXX2Hfvn3o2bMnpk+fji1btryzDwcOHEDz5s1Ro0YNsSwwMBBffvklgDdTwwoeJiYm5TrnAPDPP/9g8uTJmDhxIvbu3YsmTZpg+PDhOHXqlEw9FRUVODg44MCBA++MGXiTaPfq1Qtdu3bFnj17MG7cOKxZs0YmwSxvrFevXsU333yDgIAAhIWFYeDAgaXGcO7cOURHR8PLywv6+voYOHAgjh07htjY2GLrjxgxAsrKyti2bRsWLlyIEydO4KuvvpKpU57X/W0dO3ZE8+bNxe/Mt61cuRKtW7dG69atS+0PACgoKMDHxwebNm1CXl4eAODw4cN4/Pgxhg0b9s79y2LgwIGoX78+du7ciW+//Rbbtm3DxIkTS93nxYsX6NChA9asWYNhw4bhr7/+wq+//or69esjISHhnccsy/dpYeV9/xB90gQiqhISExMFAMKQIUOKbMvNzRVycnLER35+vrjN29tbACCsX7++TMeJi4sTAAh79+4Vy44fPy4AEHbs2CFTd9asWcLbXzMPHjwQFBUVBQ8PjxLbT0lJEdTV1YVevXoVOa6qqqrg7u5eanyDBw8W1NXVhcTERLEsNzdXaNCggQBAiI2NFdtTUlIS/P39ZfZ/8eKFYGxsLLi5uZV6nA0bNggAhC+++EKm/OzZswIAYc6cOcXul5+fL+Tk5AiPHj0qch4LztfMmTNLPfbH7mvB67t9+3YhJydHePXqlXDq1CnByspKUFRUFP75559S4w8LCxMACAsXLpQp3759uwBA+O233wRBEITo6GgBgDBx4kSZelu3bhUACN7e3mJZ4fdWgYLXpaDvZXnPvXjxQtDR0RE6dOgg89korPAxC+IdM2aMTL2LFy8KAIQZM2aIZY6OjgIA4eLFizJ1bW1tBWdn5xKPWUBDQ0MYNWpUkfKxY8cWex7Kes4FQRDMzc0FNTU14dGjR2JZZmamoKenJ3z99ddF2v7uu+8EBQUFISMjo9SYC75bli1bJlP+008/CQCEM2fOvFesioqKwp07d0o99tt8fX0FAEJ0dLQgCP//fg4MDJSpV/DeKfx6Lly4UAAgJCQkCIJQvte9OAXHuXbtmlh26dIlAYCwcePGUvd9+7v2wYMHgkQiEfbv3y8IgiAMGjRIcHJyEgRBEHr37i2Ym5uL+8XGxgoAhA0bNhRpE4Awa9Ys8XnB+7zw6zFmzBhBTU1N5jNibm4u87n84YcfBABCeHh4qf0ofMzyfJ96e3vL9K087x+iTx1HzIiqgZYtW0JZWVl8LF68uEid4v7V+fnz55g0aRIaNGgAHR0dqKmpidczvM9qfOHh4cjLy8PYsWNLrHP+/HlkZmYWmR5jZmaGLl264OjRo6Ue4/jx4+jatSuMjIzEMkVFRZl/oQeAQ4cOITc3F15eXsjNzRUfampqcHR0xIkTJ8rUJw8PD5nnDg4OMDc3x/Hjx8WypKQkjBo1CmZmZlBSUoKysjLMzc0BFH8e3zUCIK++Dh48GMrKytDQ0ECnTp2Ql5eHP//8E02aNCk1/mPHjgFAkdd00KBB0NTUFF/TgnNW+Jy6ublBSen9Lokuy3vu3LlzSE9Px5gxY8p1/VZBvIX71aZNGzRs2LDIe9XY2Bht2rSRKWvSpInMyF1xUlNT8erVKxgaGpY5trKe8wLNmjWTWeBCTU0N9evXLzY2Q0ND5OfnIzExsUyxFH49C67tKjh/5Y21SZMmqF+/fpmOnZGRgdDQUDg4OKBBgwYAAEdHR9SrVw/BwcHFTiPt27dvkeMB/z9lt7yve2FDhw6FoaGhzKjZihUrULNmzSKf3dJYWlrCyckJ69evx7Nnz7B37174+vqWef93Ke48vH79GklJSSXu8/fff6N+/fro1q3bex2zLN+nhZX3/UP0KePiH0RVhIGBAdTV1Yv9IbVt2za8evUKCQkJRf5nC7xZpKPwKl6CIKBHjx74999/MWfOHDRp0gRaWlrIy8uDnZ0dMjMzyx1jwQIipS2g8OzZMwAodjqmqakpwsPDSz3Gs2fPYGxsXKS8cNnTp08BoMRpQ4Wv0ShJSccq6Ed+fj569OiBJ0+eIDAwEHZ2dtDU1ER+fj7atWtX7Hks61TUj93XBQsWoEuXLlBUVISBgUGJiz8Ujv/Zs2dQUlIqMuVRIpHInKuC/xaOX0lJCfr6+mWKsbCyvOfKUqc473qvFv4sFtcHVVXVd36WCrarqamVK7aynPP3ia0gjrJ8BxT32hW8vm+/7uWJtTxTtbdv346MjAy4ubnJTIdzc3PDvHnzEB4eDmdnZ5l9CserqqoK4P/7W97XvTBVVVV8/fXXWLx4Mf73v/8hJycHoaGhmDRpknissho+fDiGDRuGn3/+Gerq6uLU1orwrvNQnOTk5A9awfJd36fFKe/7h+hTxsSMqIpQVFREly5dcPjwYSQkJMj8aLC1tQWAEu9rVdwowc2bN3HlyhVs2rQJnp6eYvndu3ffO8aC/3E+fvy4xB/1BT8Girse4cmTJzAwMCj1GPr6+sX+S37hsoJ2/vzzT3H06n2UdCwrKysAb87jP//8g+DgYHh7e4t1Cq7PKk5ZR20+dl/r1q2LVq1avbNe4fj19fWRm5uL5ORkmR9PgiAgMTFRTBgLXvvExETUqlVLrJebm1vkx1VBcpCVlSXzY7bw9T1lec+9Xac83n6vFk7qyvJeLe9xnj9/Xq59ynLO30dBHGXpX8Fr9/aP/IL3Z0FZeWMtz6hmwQIvEyZMwIQJE4rdXjgxe5eKeN1Hjx6N+fPnY/369Xj9+jVyc3MxatSocsUBvLmec+zYsZg/fz78/PxKXJ3y7c/L2yo6aalZs2a5P0dve9f3aXEq871O9LFxKiNRFTJ9+nTk5eVh1KhRJa7MV1aCIAB4k/C9rbTFKN6lR48eUFRUxOrVq0usY29vD3V19SILIjx+/BjHjh0TV4wsSefOnXH06FFxlAh4szDK9u3bZeo5OztDSUkJMTExaNWqVbGPsti6davM83PnzuHRo0fiypQFPyIL/0v4mjVrytR+aT52X99XwWtW+DXduXMnXr58KW4vOGeFz2loaChyc3NlygpWZbt+/bpM+V9//SXzvCzvOQcHB0ilUnGhkrLq0qULgKL9ioiIQHR09Dvfq2WloqKCunXrFnv/wZJGMcp6zt/HgwcPoK+vLzOFtjSFX89t27YB+P/Xu7JijY6Oxvnz5zFw4EAcP368yKNr167Yu3dvuZOTinjdTUxMMGjQIPzyyy/49ddf4erq+l4jTerq6pg5cyZcXV0xevToEusZGRlBTU2tyOdl79695T5maXr27Im7d++K0wvL613fp8WpzPc60cfGETOiKqR9+/ZYtWoV/P390aJFC4wcORKNGjWCgoICEhISsHPnTgAo081HGzZsiLp162L69OkQBAH6+vrYt28fjhw58t7xWVhYYMaMGfjxxx+RmZkpLsUcFRWF//77D7Nnz0aNGjUQGBiIGTNmwMvLC0OHDsWzZ88we/ZsqKmpYdasWaUe4/vvv8e+ffvQpUsXzJw5ExoaGli1ahVevnxZJJYffvgB3333HR48eAAXFxfo6uri6dOnuHTpEjQ1Ncu0DPfly5cxYsQIDBo0CPHx8fjuu+9Qq1YtjBkzBgDQoEED1KtXD99++y0EQYCenh7++uuvd07JLIuP3df31b17dzg7O2PatGlIT09H+/btcf36dcyaNQvNmzcXR2QbNmyIr776CkuXLoWysjK6deuGmzdvYtGiRUXes7169YKenh6GDx+OH374AUpKSggODkZ8fHyRvr/rPaelpYXFixdjxIgR6NatG/z8/GBkZIT79+/jn3/+wcqVK4vtl42NDUaOHIkVK1ZAQUEBPXv2xMOHDxEYGAgzM7N3rmBXHk5OTvj777+LlNvZ2QF4M820Z8+eUFRURJMmTcp8zt/HhQsX4OjoWKaRKxUVFSxevBgZGRlo3bo1zp07hzlz5qBnz57ibTYqK9aC0bKpU6cWubYPeLOC4NGjR7FlyxaMHz++zO1W1Os+fvx4tG3bFgCwYcOGMh+/sEmTJmHSpEml1pFIJPjqq6+wfv161KtXD02bNsWlS5fEJLmiTJgwAdu3b0e/fv3w7bffok2bNsjMzMTJkyfRp08fdO7cudT93/V9WpzKfK8TfXRyW3aEiCpNZGSkMGzYMMHS0lJQVVUV1NTUBCsrK8HLy0s4evSoTF1vb29BU1Oz2HaioqKE7t27C9ra2oKurq4waNAgcVXGt1fUKuuqjAU2bdoktG7dWlBTUxO0tLSE5s2bF1kt7PfffxeaNGkiqKioCFKpVOjXr59w69atMvX/7NmzQrt27QRVVVXB2NhY+Oabb4TffvtNZrW+Anv27BE6d+4s6OjoCKqqqoK5ubnw5ZdfCkeOHCn1GAWriB0+fFjw9PQUatSoIa4mee/ePZm6ZT2PBecrOTm5TP38WH0t6fUtrLT4MzMzhWnTpgnm5uaCsrKyYGJiIowePVpISUmRqZeVlSVMnjxZMDQ0FNTU1IR27doJ58+fL7L6myC8WcnOwcFB0NTUFGrVqiXMmjVL+P3334vte1necwcPHhQcHR0FTU1NQUNDQ7C1tRUWLFhQpH9vy8vLExYsWCDUr19fUFZWFgwMDISvvvpKiI+Pl6nn6OgoNGrUqMh5KbzCXEmOHj0qABAuXbpU5HyNGDFCqFmzpiCRSGT6XtZzbm5uLvTu3bvIMR0dHQVHR0eZsvv37wsAhJ07d74z5oLvluvXrwtOTk6Curq6oKenJ4wePbrIio4fGmth2dnZgqGhodCsWbMS6+Tm5gq1a9cW7OzsBEH4/890RESETL2C9//x48fFsrK+7u9iYWEhNGzYsMz1y/pZLLwqoyAIQlpamjBixAjByMhI0NTUFFxdXYWHDx+W+Xuo8IqnglB0VUZBeLOy7vjx44U6deoIysrKgqGhodC7d2/h9u3bYp3CxyzP92lxn5myvn+IPnUSQSjHvA0iIiKSiyZNmqB9+/alTsusbIGBgdi0aRNiYmLeuVKmj48P/vzzT2RkZHyk6D4v169fR9OmTbFq1apSR4Sqg+DgYAwbNgwRERGVPrWa6FPGa8yIiIg+AwsXLkRwcPAHLa7wIVJTU7Fq1SrMnTv3vW9fQG9uOH/s2DGMHDkSJiYmRZZ5J6Lqi4kZERHRZ8DFxQX/+9//EBsbK5fjx8bGYvr06eJ9yOj9/Pjjj+jevTsyMjKwY8cOaGhoyDskIvpEcCojERERERGRnHHEjIiIiIiISM6YmBEREREREckZEzMiIiIiIiI547JKFSg/Px9PnjyBtrZ2mW68SUREREREVZMgCHjx4gVMTU2hoPDu8TAmZhXoyZMnMDMzk3cYRERERET0iYiPj0ft2rXfWY+JWQXS1tYG8Obk6+joyDkaIiIiIiKSl/T0dJiZmYk5wrswMatABdMXdXR0mJgREREREVGZL3Hi4h9ERERERERyxsSMiIiIiIhIzpiYERERERERyRmvMSMiIiKichEEAbm5ucjLy5N3KERyo6ioCCUlpQq7TRYTMyIiIiIqs+zsbCQkJODVq1fyDoVI7jQ0NGBiYgIVFZUPbouJGRERERGVSX5+PmJjY6GoqAhTU1OoqKhU2GgB0edEEARkZ2cjOTkZsbGxsLa2LtNNpEvDxIyIiIiIyiQ7Oxv5+fkwMzODhoaGvMMhkit1dXUoKyvj0aNHyM7Ohpqa2ge1x8U/iIiIiKhcPnRkgKiqqMjPAj9VREREREREcsbEjIiIiIiISM6YmBERERERfQaCgoLQrFkzeYdBlYSJGRERERHRB/Dx8YFEIoFEIoGysjLq1q2LKVOm4OXLl/IOrVQnTpyARCJBamqqvEMhyDkxO3XqFFxdXWFqagqJRII9e/bIbC94gxd+/O9//xPrODk5Fdk+ZMgQmXZSUlLg6ekJqVQKqVQKT0/PIm/AuLg4uLq6QlNTEwYGBggICEB2dnZldZ2IiIiIqhAXFxckJCTgwYMHmDNnDn755RdMmTKlSL2cnBw5REefA7kmZi9fvkTTpk2xcuXKYrcnJCTIPNavXw+JRIKBAwfK1PPz85Opt2bNGpnt7u7uiIyMRFhYGMLCwhAZGQlPT09xe15eHnr37o2XL1/izJkzCAkJwc6dOzF58uSK7zQRERERVTmqqqowNjaGmZkZ3N3d4eHhgT179ojTD9evX4+6detCVVUVgiAgLi4O/fr1g5aWFnR0dODm5oanT5/KtDl//nwYGRlBW1sbw4cPx+vXr2W2Ozk5YcKECTJl/fv3h4+Pj/g8KysLU6dOhZmZGVRVVWFtbY1169bh4cOH6Ny5MwBAV1cXEolE3C8rKwsBAQEwNDSEmpoaOnTogIiIiAo/ZyRLrvcx69mzJ3r27FnidmNjY5nne/fuRefOnVG3bl2Zcg0NjSJ1C0RHRyMsLAwXLlxA27ZtAQBr166Fvb097ty5AxsbGxw+fBhRUVGIj4+HqakpAGDx4sXw8fHBTz/9BB0dnQ/pJhERERFVM+rq6uLo2P379xEaGoqdO3dCUVERwJsESlNTEydPnkRubi7GjBmDwYMH48SJEwCA0NBQzJo1C6tWrULHjh2xefNmLF++vMjv4Hfx8vLC+fPnsXz5cjRt2hSxsbH477//YGZmhp07d2LgwIG4c+cOdHR0oK6uDgCYOnUqdu7ciY0bN8Lc3BwLFy6Es7Mz7t+/Dz09vYo7SSTjs7nB9NOnT3HgwAFs3LixyLatW7diy5YtMDIyQs+ePTFr1ixoa2sDAM6fPw+pVComZQDQrl07SKVSnDt3DjY2Njh//jwaN24sJmUA4OzsjKysLFy5ckX814TCsrKykJWVJT5PT0+vqO4SERER0Wfq0qVL2LZtG7p27QrgzY25N2/ejJo1awIAwsPDcf36dcTGxsLMzAwAsHnzZjRq1AgRERFo3bo1li5dCl9fX4wYMQIAMGfOHBw5cqTIqFlp7t69i9DQUISHh6Nbt24AIJPYFSRZhoaGqFGjBoA3M9pWr16N4OBgcQBl7dq1CA8Px7p16/DNN998wJmh0nw2i39s3LgR2traGDBggEy5h4cH/vjjD5w4cQKBgYHYuXOnTJ3ExEQYGhoWac/Q0BCJiYliHSMjI5nturq6UFFREesUZ968eeJ1a1KpVPxgEREREVH1sn//fmhpaUFNTQ329vbo1KkTVqxYAQAwNzcXkzLgzYwuMzMzmd+Otra2qFGjBqKjo8U69vb2Msco/PxdIiMjoaioCEdHxzLvExMTg5ycHLRv314sU1ZWRps2bcTYqHJ8NiNm69evh4eHB9TU1GTK/fz8xL8bN24Ma2trtGrVClevXkWLFi0AvFlEpDBBEGTKy1KnsOnTp2PSpEni8/T0dCZnRERERNVQ586dsXr1aigrK8PU1BTKysriNk1NTZm6Jf3GfNdvz8IUFBQgCIJM2duLixRMTSyPgvYKx1He2Kj8PosRs9OnT+POnTviUG5pWrRoAWVlZdy7dw/Am+vUCl9ICQDJycniKJmxsXGRkbGUlBTk5OQUGUl7m6qqKnR0dGQeRERERFT9aGpqwsrKCubm5jJJWXFsbW0RFxeH+Ph4sSwqKgppaWlo2LAhAKBhw4a4cOGCzH6Fn9esWRMJCQni87y8PNy8eVN8bmdnh/z8fJw8ebLYOFRUVMT9ClhZWUFFRQVnzpwRy3JycnD58mUxNqocn0Vitm7dOrRs2RJNmzZ9Z91bt24hJycHJiYmAN4M+aalpeHSpUtinYsXLyItLQ0ODg5inZs3b8q8sQ8fPgxVVVW0bNmygntDRPIWFBQk7xCISM74PUDy1K1bNzRp0gQeHh64evUqLl26BC8vLzg6OqJVq1YAgPHjx2P9+vVYv3497t69i1mzZuHWrVsy7XTp0gUHDhzAgQMHcPv2bYwZM0bmllAWFhbw9vaGr68v9uzZg9jYWJw4cQKhoaEA3kyxlEgk2L9/P5KTk5GRkQFNTU2MHj0a33zzDcLCwhAVFQU/Pz+8evUKw4cP/2jnqDqSa2KWkZGByMhIREZGAgBiY2MRGRmJuLg4sU56ejp27NhR7GhZTEwMfvjhB1y+fBkPHz7EwYMHMWjQIDRv3lycF9uwYUO4uLjAz88PFy5cwIULF+Dn54c+ffrAxsYGANCjRw/Y2trC09MT165dw9GjRzFlyhT4+flxFIyIiIiIKlTB/Xt1dXXRqVMndOvWDXXr1sX27dvFOoMHD8bMmTMxbdo0tGzZEo8ePcLo0aNl2vH19YW3t7eY1FlaWhZZtG716tX48ssvMWbMGDRo0AB+fn7ija9r1aqF2bNn49tvv4WRkRHGjRsH4M0y/QMHDoSnpydatGiB+/fv49ChQ9DV1a3kM1PNCXJ0/PhxAUCRh7e3t1hnzZo1grq6upCamlpk/7i4OKFTp06Cnp6eoKKiItSrV08ICAgQnj17JlPv2bNngoeHh6CtrS1oa2sLHh4eQkpKikydR48eCb179xbU1dUFPT09Ydy4ccLr16/L1Z+0tDQBgJCWllau/Yjo45o1a5a8QyAiOeP3wPvJzMwUoqKihMzMTHmHQvRJKO0zUd7cQK6Lfzg5ORW5YLGwkSNHYuTIkcVuMzMzK3HO7Nv09PSwZcuWUuvUqVMH+/fvf2dbREREREREFe2zuMaMiIiIiIioKmNiRkREREREJGdMzIiIiIiIiOSMiRkREREREZGcMTEjIiIiIiKSMyZmREREREREcsbEjIiIiIiISM6YmBEREREREcmZXG8wTURERERVg8W3Bz7asR7O7/3RjkXVm4WFBSZMmIAJEyZU+rE4YkZERERERCRnTMyIiIiIiArJyckpUpadnS2HSKi6YGJGRERERFVeWFgYOnTogBo1akBfXx99+vRBTEwMAODhw4eQSCQIDQ2Fk5MT1NTUsGXLFvj4+KB///6YN28eTE1NUb9+fQDAjRs30KVLF6irq0NfXx8jR45ERkaGeCyJRFLkYWFhUWJsjx49gqurK3R1daGpqYlGjRrh4MGD4vaoqCj06tULWlpaMDIygqenJ/777z9xe35+PhYsWAArKyuoqqqiTp06+Omnn8Tt06ZNQ/369aGhoYG6desiMDBQJvEMCgpCs2bNsHnzZlhYWEAqlWLIkCF48eKFWCcrKwsBAQEwNDSEmpoaOnTogIiIiFLP+dvntWPHjlBXV0fr1q1x9+5dREREoFWrVtDS0oKLiwuSk5PF/SIiItC9e3cYGBhAKpXC0dERV69elWlbIpHg999/xxdffAENDQ1YW1tj37594vbg4GDUqFFDZp89e/ZAIpGIz2NiYtCvXz8YGRlBS0sLrVu3xpEjR0rtU2ViYkZEREREVd7Lly8xadIkRERE4OjRo1BQUMAXX3yB/Px8sc60adMQEBCA6OhoODs7AwCOHj2K6OhohIeHY//+/Xj16hVcXFygq6uLiIgI7NixA0eOHMG4cePEdhISEsTH/fv3YWVlhU6dOpUY29ixY5GVlYVTp07hxo0bWLBgAbS0tMS2HB0d0axZM1y+fBlhYWF4+vQp3NzcxP2nT5+OBQsWIDAwEFFRUdi2bRuMjIzE7dra2ggODkZUVBSWLVuGtWvXYsmSJTIxxMTEYM+ePdi/fz/279+PkydPYv78+eL2qVOnYufOndi4cSOuXr0KKysrODs74/nz5+8897NmzcL333+Pq1evQklJCUOHDsXUqVOxbNkynD59GjExMZg5c6ZY/8WLF/D29sbp06dx4cIFWFtbo1evXjKJIgDMnj0bbm5uuH79Onr16gUPD48yxVMgIyMDvXr1wpEjR3Dt2jU4OzvD1dUVcXFxZW6jInHxDyIiIiKq8gYOHCjzfN26dTA0NERUVJSYBE2YMAEDBgyQqaepqYnff/8dKioqAIC1a9ciMzMTmzZtgqamJgBg5cqVcHV1xYIFC2BkZARjY2MAgCAIGDhwIKRSKdasWVNibHFxcRg4cCDs7OwAAHXr1hW3rV69Gi1atMDcuXPFsvXr18PMzAx3796FiYkJli1bhpUrV8Lb2xsAUK9ePXTo0EGs//3334t/W1hYYPLkydi+fTumTp0qlufn5yM4OBja2toAAE9PTxw9ehQ//fQTXr58idWrVyM4OBg9e/YUz0N4eDjWrVuHb775puQTD2DKlCliojt+/HgMHToUR48eRfv27QEAw4cPR3BwsFi/S5cuMvuvWbMGurq6OHnyJPr06SOW+/j4YOjQoQCAuXPnYsWKFbh06RJcXFxKjadA06ZN0bRpU/H5nDlzsHv3buzbt08m0f5YOGJGRERERFVeTEwM3N3dUbduXejo6MDS0hIAZEZHWrVqVWQ/Ozs7MSkDgOjoaDRt2lRMygCgffv2yM/Px507d2T2nTFjBs6fP489e/ZAXV0dANCoUSNoaWlBS0tLTHICAgIwZ84ctG/fHrNmzcL169fFNq5cuYLjx4+L+2hpaaFBgwZin6Kjo5GVlYWuXbuW2Pc///wTHTp0gLGxMbS0tBAYGFhkVMjCwkJMygDAxMQESUlJ4nFycnLERAoAlJWV0aZNG0RHRwMARo0aJRPj25o0aSL+XTCSV5CEFpQVHAsAkpKSMGrUKNSvXx9SqRRSqRQZGRlFYn67XU1NTWhra8u08y4vX77E1KlTYWtrixo1akBLSwu3b9/miBkRERERUWVxdXWFmZkZ1q5dC1NTU+Tn56Nx48YyC3q8nWyVVCYIgsx1Sm97u3zLli1YsmQJTpw4gdq1a4vlBw8eFK/vKkjWRowYAWdnZxw4cACHDx/GvHnzsHjxYvj7+yM/P18cjSvMxMQEDx48KLXfFy5cwJAhQzB79mw4OztDKpUiJCQEixcvlqmnrKxcpC8F0zwFQSjSv8Ln4ocffsCUKVOKjeHttgvqFy57e0qpj48PkpOTsXTpUpibm0NVVRX29vZFFl8pLWYFBQUx7gKFF3T55ptvcOjQISxatAhWVlZQV1fHl19+KbdFXpiYEREREVGV9uzZM0RHR2PNmjXo2LEjAODMmTPv1ZatrS02btyIly9fiknb2bNnoaCgIC4Ocv78eYwYMQJr1qxBu3btZPY3Nzcvtl0zMzOMGjUKo0aNwvTp07F27Vr4+/ujRYsW2LlzJywsLKCkVPSnu7W1NdTV1XH06FGMGDGiyPazZ8/C3Nwc3333nVj26NGjcvXZysoKKioqOHPmDNzd3QG8SXIuX74s3t/L0NAQhoaG5Wq3JKdPn8Yvv/yCXr16AQDi4+NlFjspi5o1a+LFixcyr1NkZGSR4/j4+OCLL74A8Oaas4cPH35w/O+LUxmJiIiIqErT1dWFvr4+fvvtN9y/fx/Hjh3DpEmT3qstDw8PqKmpwdvbGzdv3sTx48fh7+8PT09PGBkZITExEV988QWGDBkCZ2dnJCYmIjExUWbVwcImTJiAQ4cOITY2FlevXsWxY8fQsGFDAG8WBnn+/DmGDh2KS5cu4cGDBzh8+DB8fX2Rl5cHNTU1TJs2DVOnTsWmTZsQExODCxcuYN26dQDeJFVxcXEICQlBTEwMli9fjt27d5erz5qamhg9ejS++eYbhIWFISoqCn5+fnj16hWGDx/+XuexNFZWVti8eTOio6Nx8eJFeHh4iKOLZdW2bVtoaGhgxowZuH//PrZt2yZzHVvBcXbt2oXIyEj8888/cHd3lxm5+9g4YkZEREREH+zh/N7yDqFECgoKCAkJQUBAABo3bgwbGxssX74cTk5O5W5LQ0MDhw4dwvjx49G6dWtoaGhg4MCB+PnnnwEAt2/fxtOnT7Fx40Zs3LhR3M/c3LzE0Zi8vDyMHTsWjx8/ho6ODlxcXMRVE01NTXH27FlMmzYNzs7OyMrKgrm5OVxcXKCg8GaMJTAwEEpKSpg5cyaePHkCExMTjBo1CgDQr18/TJw4EePGjUNWVhZ69+6NwMBABAUFlavf8+fPR35+Pjw9PfHixQu0atUKhw4dgq6ubjnP4LutX78eI0eORPPmzVGnTh3MnTu3xGmSJdHT08OWLVvwzTff4LfffkO3bt0QFBSEkSNHinWWLFkCX19fODg4wMDAANOmTUN6enpFd6fMJELhyZf03tLT0yGVSpGWlgYdHR15h0NEJQgKCir3/5CIqGrh98D7ef36NWJjY2FpaQk1NTV5h0Mkd6V9JsqbG3AqIxERERERkZwxMSMiIiIiIpIzJmZERERERERyxsSMiIiIiIhIzpiYERERERERyRkTMyIiIiIiIjljYkZERERERCRnTMyIiIiIiIjkjIkZERERERGRnCnJOwAiIiIiqgKCpB/xWGkf71hEHwlHzIiIiIiIiOSMiRkREREREZGcMTEjIiIioiovPz8fCxYsgJWVFVRVVVGnTh389NNPAIAbN26gS5cuUFdXh76+PkaOHImMjAyZ/devX49GjRpBVVUVJiYmGDdunLgtLi4O/fr1g5aWFnR0dODm5oanT59+1P7R54+JGRERERFVedOnT8eCBQsQGBiIqKgobNu2DUZGRnj16hVcXFygq6uLiIgI7NixA0eOHJFJvFavXo2xY8di5MiRuHHjBvbt2wcrKysAgCAI6N+/P54/f46TJ08iPDwcMTExGDx4sLy6Sp8pLv5BRERERFXaixcvsGzZMqxcuRLe3t4AgHr16qFDhw5Yu3YtMjMzsWnTJmhqagIAVq5cCVdXVyxYsABGRkaYM2cOJk+ejPHjx4tttm7dGgBw5MgRXL9+HbGxsTAzMwMAbN68GY0aNUJERIRYj+hdOGJGRERERFVadHQ0srKy0LVr12K3NW3aVEzKAKB9+/bIz8/HnTt3kJSUhCdPnhS7b8H+ZmZmYlIGALa2tqhRowaio6MrvjNUZTExIyIiIqIqTV1dvcRtgiBAIpEUu00ikZS6b2n7l9YuUXGYmBERERFRlWZtbQ11dXUcPXq0yDZbW1tERkbi5cuXYtnZs2ehoKCA+vXrQ1tbGxYWFsXuW7B/XFwc4uPjxbKoqCikpaWhYcOGFd8ZqrJ4jRkRERERVWlqamqYNm0apk6dChUVFbRv3x7Jycm4desWPDw8MGvWLHh7eyMoKAjJycnw9/eHp6cnjIyMAABBQUEYNWoUDA0N0bNnT7x48QJnz56Fv78/unXrhiZNmsDDwwNLly5Fbm4uxowZA0dHR7Rq1UrOPafPCRMzIiIiIvpwQWnyjqBUgYGBUFJSwsyZM/HkyROYmJhg1KhR0NDQwKFDhzB+/Hi0bt0aGhoaGDhwIH7++WdxX29vb7x+/RpLlizBlClTYGBggC+//BLAm+mOe/bsgb+/Pzp16gQFBQW4uLhgxYoV8uoqfaaYmBERERFRlaegoIDvvvsO3333XZFtdnZ2OHbsWKn7f/311/j666+L3VanTh3s3bu3QuKk6ovXmBEREREREckZEzMiIiIiIiI5Y2JGREREREQkZ0zMiIiIiIiI5IyJGRERERERkZwxMSMiIiIiIpIzJmZERERERERyxsSMiIiIiIhIzpiYERERERERyZmSvAMgIiIios+f3Ua7j3asG943yr2PIAj4+uuv8eeffyIlJQXXrl1Ds2bNKj64Ejx8+BCWlpYf/bgVISgoCHv27EFkZKS8Q6nSOGJGRERERFVeWFgYgoODsX//fiQkJKBx48bv1c6JEycgkUiQmppasQF+wqZMmYKjR4/KO4wqjyNmRERERFTlxcTEwMTEBA4ODsVuz87OhoqKykeO6tMmCALy8vKgpaUFLS0teYdT5cl1xOzUqVNwdXWFqakpJBIJ9uzZI7Pdx8cHEolE5tGuXTuZOllZWfD394eBgQE0NTXRt29fPH78WKZOSkoKPD09IZVKIZVK4enpWeRfOeLi4uDq6gpNTU0YGBggICAA2dnZldFtIiIiIvqIfHx84O/vj7i4OEgkElhYWMDJyQnjxo3DpEmTYGBggO7du+Phw4eQSCQyU/ZSU1MhkUhw4sQJPHz4EJ07dwYA6OrqQiKRwMfHB8CbEbkOHTqgRo0a0NfXR58+fRATE1NqXFFRUejVqxe0tLRgZGQET09P/Pfff+L2P//8E3Z2dlBXV4e+vj66deuGly9fFtuWvb09vv32W5my5ORkKCsr4/jx4wCALVu2oFWrVtDW1oaxsTHc3d2RlJQk1i8YDTx06BBatWoFVVVVnD59GkFBQTLTL/Pz8/HDDz+gdu3aUFVVRbNmzRAWFiZuz87Oxrhx42BiYgI1NTVYWFhg3rx5pZ4LknNi9vLlSzRt2hQrV64ssY6LiwsSEhLEx8GDB2W2T5gwAbt370ZISAjOnDmDjIwM9OnTB3l5eWIdd3d3REZGIiwsDGFhYYiMjISnp6e4PS8vD71798bLly9x5swZhISEYOfOnZg8eXLFd5qIiIiIPqply5aJiURCQgIiIiIAABs3boSSkhLOnj2LNWvWvLMdMzMz7Ny5EwBw584dJCQkYNmyZQDe/K6dNGkSIiIicPToUSgoKOCLL75Afn5+sW0lJCTA0dERzZo1w+XLlxEWFoanT5/Czc1N3D506FD4+voiOjoaJ06cwIABAyAIQrHteXh44I8//pDZvn37dhgZGcHR0RHAm4Tpxx9/xD///IM9e/YgNjZWTCzfNnXqVMybNw/R0dFo0qRJsedz8eLFWLRoEa5fvw5nZ2f07dsX9+7dAwAsX74c+/btQ2hoKO7cuYMtW7bAwsLinee3upPrVMaePXuiZ8+epdZRVVWFsbFxsdvS0tKwbt06bN68Gd26dQPw5l8CzMzMcOTIETg7OyM6OhphYWG4cOEC2rZtCwBYu3Yt7O3tcefOHdjY2ODw4cOIiopCfHw8TE1NAQCLFy+Gj48PfvrpJ+jo6BR7/KysLGRlZYnP09PTy30OiIiIiKhySaVSaGtrQ1FRUeZ3pZWVFRYuXCg+f/jwYantKCoqQk9PDwBgaGiIGjVqiNsGDhwoU3fdunUwNDREVFRUsdezrV69Gi1atMDcuXPFsvXr18PMzAx3795FRkYGcnNzMWDAAJibmwMA7OxKXmBl8ODBmDhxIs6cOYOOHTsCALZt2wZ3d3coKLwZi/H19RXr161bF8uXL0ebNm2QkZEhM1Xxhx9+QPfu3Us81qJFizBt2jQMGTIEALBgwQIcP34cS5cuxapVqxAXFwdra2t06NABEolEjJ9K98kv/nHixAkYGhqifv368PPzkxluvXLlCnJyctCjRw+xzNTUFI0bN8a5c+cAAOfPn4dUKhWTMgBo164dpFKpTJ3GjRuLSRkAODs7IysrC1euXCkxtnnz5onTI6VSKczMzCqs30RERERUuVq1alVhbcXExMDd3R1169aFjo4OLC0tAby5XKY4V65cwfHjx8Xrt7S0tNCgQQOxraZNm6Jr166ws7PDoEGDsHbtWqSkpAAATp8+LbPf1q1bUbNmTXTv3h1bt24FAMTGxuL8+fPw8PAQj3nt2jX069cP5ubm0NbWhpOTU7ExlnZe0tPT8eTJE7Rv316mvH379oiOjgbwZupoZGQkbGxsEBAQgMOHD5f1NFZrn3Ri1rNnT2zduhXHjh3D4sWLERERgS5duoijVImJiVBRUYGurq7MfkZGRkhMTBTrGBoaFmnb0NBQpo6RkZHMdl1dXaioqIh1ijN9+nSkpaWJj/j4+A/qLxERERF9PJqamjLPC0aW3p4OmJOTU6a2XF1d8ezZM6xduxYXL17ExYsXAaDENQvy8/Ph6uqKyMhImce9e/fQqVMnKCoqIjw8HH///TdsbW2xYsUK2NjYIDY2Fq1atZLZp2/fvgDeTGf8888/kZOTg23btqFRo0Zo2rQpgDdTLXv06AEtLS1s2bIFERER2L17d7ExFj4vxZFIJDLPBUEQy1q0aIHY2Fj8+OOPyMzMhJubG7788ssyncfq7JNelXHw4MHi340bN0arVq1gbm6OAwcOYMCAASXu9/YbAyj6xnnfOoWpqqpCVVX1nf0gIiIiok9fzZo1Aby5vqt58+YAUOTeXQUrN769nsGzZ88QHR2NNWvWiNMIz5w5U+qxWrRogZ07d8LCwgJKSsX/JJdIJGjfvj3at2+PmTNnwtzcHLt378akSZNgZWVVpH7//v3x9ddfIywsDNu2bZNZU+H27dv477//MH/+fHGW1+XLl0uNsTg6OjowNTXFmTNn0KlTJ7H83LlzaNOmjUy9wYMHY/Dgwfjyyy/h4uKC58+fi1NBqahPesSsMBMTE5ibm4sXFhobGyM7O1sc1i2QlJQkjoAZGxvj6dOnRdpKTk6WqVN4ZCwlJQU5OTlFRtKIiIiIqGpSV1dHu3btMH/+fERFReHUqVP4/vvvZeqYm5tDIpFg//79SE5ORkZGBnR1daGvr4/ffvsN9+/fx7FjxzBp0qRSjzV27Fg8f/4cQ4cOxaVLl/DgwQMcPnwYvr6+yMvLw8WLFzF37lxcvnwZcXFx2LVrF5KTk9GwYcMS29TU1ES/fv0QGBiI6OhouLu7i9vq1KkDFRUVrFixAg8ePMC+ffvw448/vtd5+uabb7BgwQJs374dd+7cwbfffovIyEiMHz8eALBkyRKEhITg9u3buHv3Lnbs2AFjY2OZa/KoqE96xKywZ8+eIT4+HiYmJgCAli1bQllZGeHh4TIr2Ny8eVO8kNPe3h5paWm4dOmSmMVfvHgRaWlp4n0s7O3t8dNPPyEhIUFs+/Dhw1BVVUXLli0/djeJiIiIPjs3vG/IO4QKsX79evj6+qJVq1awsbHBwoULZdYzqFWrFmbPno1vv/0Ww4YNg5eXF4KDgxESEoKAgAA0btwYNjY2WL58uXgNV3FMTU1x9uxZTJs2TVzbwNzcHC4uLlBQUICOjg5OnTqFpUuXIj09Hebm5li8ePE7F87z8PBA79690alTJ9SpU0csr1mzJoKDgzFjxgwsX74cLVq0wKJFi8RpkOUREBCA9PR0TJ48GUlJSbC1tcW+fftgbW0NANDS0sKCBQtw7949KCoqonXr1jh48KA4VZSKJxFKWnPzI8jIyMD9+/cBAM2bN8fPP/+Mzp07Q09PD3p6eggKCsLAgQNhYmKChw8fYsaMGYiLi0N0dDS0tbUBAKNHj8b+/fsRHBwMPT09TJkyBc+ePcOVK1egqKgI4M21ak+ePBGXQR05ciTMzc3x119/AXgzFN2sWTMYGRnhf//7H54/fw4fHx/0798fK1asKHN/0tPTIZVKkZaWVuJKjkQkf0FBQQgKCpJ3GEQkR/weeD+vX79GbGwsLC0toaamJu9wiOSutM9EeXMDuY6YXb58WbxJHwBxyNfb2xurV6/GjRs3sGnTJqSmpsLExASdO3fG9u3bxaQMeDNUqqSkBDc3N2RmZqJr164IDg4WkzIA2Lp1KwICAsR/7ejbt6/MvdMUFRVx4MABjBkzBu3bt4e6ujrc3d2xaNGiyj4FRERERERE8k3MnJycSrxJHgAcOnTonW2oqalhxYoVpY5s6enpYcuWLaW2U6dOHezfv/+dxyMiIiIiIqponOhJREREREQkZ0zMiIiIiIiI5IyJGRERERERkZwxMSMiIiIiIpIzJmZERERERERyxsSMiIiIiIhIzpiYERERERERyZlc72NGRERERFVDdIOGH+1YDW9Hl3sfJycnNGvWDEuXLq34gN6Dj48PUlNTsWfPHgCfXnwVpXA/qWRMzIiIiIiI3lNFJVS7du2CsrJyxQT1CVm2bBkEQZB3GJ8FJmZEREREROWUk5NToYmUnp5ehbX1KcjLy4NEIoFUKpV3KJ8NXmNGRERERNVCfn4+pk6dCj09PRgbGyMoKEjcFhcXh379+kFLSws6Ojpwc3PD06dPxe1BQUFo1qwZ1q9fj7p160JVVRXe3t44efIkli1bBolEAolEgocPHyIvLw/Dhw+HpaUl1NXVYWNjg2XLlpUam5OTEyZMmAAAOHHihNje2w8fHx8AQExMDPr16wcjIyNoaWmhdevWOHLkiEx7v/zyC6ytraGmpgYjIyN8+eWXJZ6T2rVr49dff5Upv3r1KiQSCR48eAAA+Pnnn2FnZwdNTU2YmZlhzJgxyMjIEOsHBwejRo0a2L9/P2xtbaGqqopHjx7Bx8cH/fv3F+uFhYWhQ4cOqFGjBvT19dGnTx/ExMSI27OzszFu3DiYmJhATU0NFhYWmDdvXqnnrqpgYkZERERE1cLGjRuhqamJixcvYuHChfjhhx8QHh4OQRDQv39/PH/+HCdPnkR4eDhiYmIwePBgmf3v37+P0NBQ7Ny5E5GRkVi+fDns7e3h5+eHhIQEJCQkwMzMTEx2QkNDERUVhZkzZ2LGjBkIDQ0tU5wODg5iewkJCTh27BjU1NTQqVMnAEBGRgZ69eqFI0eO4Nq1a3B2doarqyvi4uIAAJcvX0ZAQAB++OEH3LlzB2FhYeK+hSkoKGDIkCHYunWrTPm2bdtgb2+PunXrivWWL1+OmzdvYuPGjTh27BimTp0qs8+rV68wb948/P7777h16xYMDQ2LHO/ly5eYNGkSIiIicPToUSgoKOCLL75Afn4+AGD58uXYt28fQkNDcefOHWzZsgUWFhZlOm+fO05lJCIiIqJqoUmTJpg1axYAwNraGitXrsTRo0cBANevX0dsbCzMzMwAAJs3b0ajRo0QERGB1q1bA3gzmrN582bUrFlTbFNFRQUaGhowNjYWyxQVFTF79mzxuaWlJc6dO4fQ0FC4ubm9M04VFRWxvWfPnsHPzw++vr7w9fUFADRt2hRNmzYV68+ZMwe7d+/Gvn37MG7cOMTFxUFTUxN9+vSBtrY2zM3N0bx58xKP5+HhgZ9//hmPHj2Cubk58vPzERISghkzZoh1CkbzCvrz448/YvTo0fjll1/E8pycHPzyyy8ysRU2cOBAmefr1q2DoaEhoqKi0LhxY8TFxcHa2hodOnSARCKBubn5O89XVcERMyIiIiKqFpo0aSLz3MTEBElJSYiOjoaZmZmYlAGAra0tatSogejo/18B0tzcXCYpK82vv/6KVq1aoWbNmtDS0sLatWvFEa2yysnJwcCBA1GnTh2ZqZAvX77E1KlTxRi1tLRw+/Ztsf3u3bvD3NwcdevWhaenJ7Zu3YpXr14BALZu3QotLS3xcfr0aTRv3hwNGjTAH3/8AQA4efIkkpKSZJLI48ePo3v37qhVqxa0tbXh5eWFZ8+e4eXLl2IdFRWVIue4sJiYGLi7u6Nu3brQ0dGBpaUlAIix+/j4IDIyEjY2NggICMDhw4fLdc4+Z0zMiIiIiKhaKLxYh0QiQX5+PgRBgEQiKVK/cLmmpmaZjhMaGoqJEyfC19cXhw8fRmRkJIYNG4bs7OxyxTt69GjExcVhx44dUFL6/4lu33zzDXbu3ImffvoJp0+fRmRkJOzs7MT2tbW1cfXqVfzxxx8wMTHBzJkz0bRpU6SmpqJv376IjIwUH61atQLwZtRs27ZtAN5MY3R2doaBgQEA4NGjR+jVqxcaN26MnTt34sqVK1i1ahWAN8ljAXV19WLP49tcXV3x7NkzrF27FhcvXsTFixcBQIy9RYsWiI2NxY8//ojMzEy4ubmVeH1cVcOpjERERERUrdna2iIuLg7x8fHiqFlUVBTS0tLQsGHp92dTUVFBXl6eTNnp06fh4OCAMWPGiGVvL3BRFj///DO2b9+O8+fPQ19fv0j7Pj4++OKLLwC8uebs4cOHMnWUlJTQrVs3dOvWDbNmzUKNGjVw7NgxDBgwANra2kWO5+7uju+//x5XrlzBn3/+idWrV4vbLl++jNzcXCxevBgKCm/Gdcp6vdzbnj17hujoaKxZswYdO3YEAJw5c6ZIPR0dHQwePBiDBw/Gl19+CRcXFzx//rzKrVxZGBMzIiIiIqrWunXrhiZNmsDDwwNLly5Fbm4uxowZA0dHR3FEqSQWFha4ePEiHj58CC0tLejp6cHKygqbNm3CoUOHYGlpic2bNyMiIkKctvcuR44cwdSpU7Fq1SoYGBggMTERwJsRKalUCisrK+zatQuurq6QSCQIDAwUF88AgP379+PBgwfo1KkTdHV1cfDgQeTn58PGxqbEY1paWsLBwQHDhw9Hbm4u+vXrJ26rV68ecnNzsWLFCri6uuLs2bNFVnEsC11dXejr6+O3336DiYkJ4uLi8O2338rUWbJkCUxMTNCsWTMoKChgx44dMDY2Ro0aNcp9vM8NEzMiIiIi+mANb0e/u9InSiKRYM+ePfD390enTp2goKAAFxcXrFix4p37TpkyBd7e3rC1tUVmZiZiY2MxatQoREZGYvDgwZBIJBg6dCjGjBmDv//+u0zxnDlzBnl5eRg1ahRGjRollnt7eyM4OBhLliyBr68vHBwcYGBggGnTpiE9PV2sV6NGDezatQtBQUF4/fo1rK2t8ccff6BRo0alHtfDwwNjx46Fl5cX1NXVxfJmzZrh559/xoIFCzB9+nR06tQJ8+bNg5eXV5n6U0BBQQEhISEICAhA48aNYWNjg+XLl8PJyUmso6WlhQULFuDevXtQVFRE69atcfDgQXGkriqTCLwVd4VJT0+HVCpFWloadHR05B0OEZUgKChI5t41RFT98Hvg/bx+/RqxsbGwtLSEmpqavMMhkrvSPhPlzQ2qfupJRERERET0iWNiRkREREREJGdMzIiIiIiIiOSMiRkREREREZGcMTEjIiIiIiKSMyZmREREREREcsbEjIiIiIiISM6YmBEREREREckZEzMiIiIiIiI5U5J3AERERET0+Vs16thHO9bYX7t8tGMRfSwcMSMiIiIiIpIzJmZERERERERyxsSMiIiIiKo8Jycn+Pv7Y8KECdDV1YWRkRF+++03vHz5EsOGDYO2tjbq1auHv//+GwCQl5eH4cOHw9LSEurq6rCxscGyZctk2vTx8UH//v2xaNEimJiYQF9fH2PHjkVOTo5YJyEhAb1794a6ujosLS2xbds2WFhYYOnSpWKduLg49OvXD1paWtDR0YGbmxuePn36Uc4LfTqYmBERERFRtbBx40YYGBjg0qVL8Pf3x+jRozFo0CA4ODjg6tWrcHZ2hqenJ169eoX8/HzUrl0boaGhiIqKwsyZMzFjxgyEhobKtHn8+HHExMTg+PHj2LhxI4KDgxEcHCxuHzx4MJ48eYITJ05g586d+O2335CUlCRuFwQB/fv3x/Pnz3Hy5EmEh4cjJiYGgwcP/linhT4RXPyDiIiIiKqFpk2b4vvvvwcATJ8+HfPnz4eBgQH8/PwAADNnzsTq1atx/fp1tGvXDrNnzxb3tbS0xLlz5xAaGgo3NzexXFdXFytXroSioiIaNGiA3r174+jRo/Dz88Pt27dx+vRpREREoFWrVgCA33//HdbW1uL+R44cwfXr1xEbGwszMzMAwObNm9GoUSNERESgdevWlX5e6NPAETMiIiIiqhaaNGki/q2oqAh9fX3Y2dmJZUZGRgAgjmj9+uuvaNWqFWrWrAktLS2sXbsWcXFxMm02atQIioqK4nMTExNx/zt37kBJSQktWrQQt1tZWUFXV1d8Hh0dDTMzMzEpAwBbW1vUqFED0dHRFdFt+kwwMSMiIiKiakFZWVnmuUQikSmTSCQAgPz8fISGhmLixInw9fXF4cOHERkZiWHDhiE7O/udbebn5wN4M02xOG+XC4IgHrdwneLKqepiYkZEREREVMjp06fh4OCAMWPGoHnz5rCyskJMTEy52mjQoAFyc3Nx7do1sez+/ftITU0Vn9va2iIuLg7x8fFiWVRUFNLS0tCwYcMP7kdFe/LkibxDqLKYmBERERERFWJlZYXLly/j0KFDuHv3LgIDAxEREVGuNho0aICOHTti5MiRuHTpEq5du4aRI0dCXV1dHA3r1q0bmjRpAg8PD1y9ehWXLl2Cl5cXHB0dxevSqHrg4h/0yQgKCkJQUJC8wyAiOeL3ANHna+yvXeQdQoUaNWoUIiMjMXjwYEgkEgwdOhRjxowRl9Mvq2XLluG7775Dp06dYGxsjHnz5uHWrVtQU1MD8Gbq4549e+Dv749OnTpBQUEBLi4uWLFiRWV0iz5hTMyIiIiIqMo7ceJEkbKHDx8WKXv7+q8NGzZgw4YNMtvnzZsn/v32svgF3r4/GfBmQZGDBw+Kzx8/foykpCRYWVmJZXXq1MHevXvf0QOq6piYERERERFVkjNnzkBNTQ12dnZISEjA1KlTYWFhgU6dOsk7NPrEMDEjIiIiIqokubm5mDFjBh48eABtbW04ODhg69atRVZzJGJiRkRERERUSZycnODu7i7vMOgzwFUZiYiIiIiI5IyJGRERERERkZwxMSMiIiIiIpIzJmZERERERERyxsSMiIiIiIhIzpiYERERERFVgKCgIDRr1kzeYbzTw4cPIZFIEBkZ+dGPHRwcjBo1anz0434OuFw+EREREX2wxYP7fLRjTd6+/6MdqzymTJkCf39/eYdBnykmZkREREREFUBLSwtaWlryDqPKycnJqRY35OZURiIiIiKq8pycnDBu3DiMGzcONWrUgL6+Pr7//nsIggAAyM7OxtSpU1GrVi1oamqibdu2OHHihLh/wRS8PXv2oH79+lBTU0P37t0RHx8v1ik8ldHHxwe+vr5YtGgRTExMoK+vj7FjxyInJ0esk5KSAi8vL+jq6kJDQwM9e/bEvXv33tmfW7duoXfv3tDR0YG2tjY6duyImJgYAEB+fj5++OEH1K5dG6qqqmjWrBnCwsKKtPHgwQN07twZGhoaaNq0Kc6fPy+zfefOnWjUqBFUVVVhYWGBxYsXy2y3sLDAnDlz4OXlBS0tLZibm2Pv3r1ITk5Gv379oKWlBTs7O1y+fLnIsctyHtevX4+6detCVVUVgiAgLi5ObFdHRwdubm54+vTpO8/V50KuidmpU6fg6uoKU1NTSCQS7NmzR9yWk5ODadOmwc7ODpqamjA1NYWXlxeePHki04aTkxMkEonMY8iQITJ1UlJS4OnpCalUCqlUCk9PT6SmpsrUiYuLg6urKzQ1NWFgYICAgABkZ2dXVteJiIiI6CPbuHEjlJSUcPHiRSxfvhxLlizB77//DgAYNmwYzp49i5CQEFy/fh2DBg2Ci4uLTJL06tUr/PTTT9i4cSPOnj2L9PT0Ir87Czt37hxiYmJw/PhxbNy4EcHBwQgODha3+/j44PLly9i3bx/Onz8PQRDQq1cvmeStsH///RedOnWCmpoajh07hitXrsDX1xe5ubkAgGXLlmHx4sVYtGgRrl+/DmdnZ/Tt27dIwvfdd99hypQpiIyMRP369TF06FCxjStXrsDNzQ1DhgzBjRs3EBQUhMDAQGzfvl2mjSVLlqB9+/a4du0aevfuDU9PT3h5eeGrr77C1atXYWVlBS8vLzEBLut5vH//PkJDQ7Fz507xWrj+/fvj+fPnOHnyJMLDwxETE4PBgweXev4/J3Kdyvjy5Us0bdoUw4YNw8CBA2W2vXr1ClevXkVgYCCaNm2KlJQUTJgwAX379i2Sdfv5+eGHH34Qn6urq8tsd3d3x+PHj8V/KRg5ciQ8PT3x119/AQDy8vLQu3dv1KxZE2fOnMGzZ8/g7e0NQRCwYsWKyug6EREREX1kZmZmWLJkCSQSCWxsbHDjxg0sWbIEXbp0wR9//IHHjx/D1NQUwJvrxcLCwrBhwwbMnTsXwJuBg5UrV6Jt27YA3iR6DRs2xKVLl9CmTZtijymVSrFy5UooKiqiQYMG6N27N44ePQo/Pz/cu3cP+/btw9mzZ+Hg4AAA2Lp1K8zMzLBnzx4MGjSo2DZXrVoFqVSKkJAQcYpf/fr1xe2LFi3CtGnTxGRnwYIFOH78OJYuXYpVq1aJ9aZMmYLevXsDAGbPno1GjRrh/v37aNCgAX7++Wd07doVgYGBYvtRUVH49ddfMXHiRLGNXr164euvvwYAzJw5E6tXr0br1q3F2KdNmwZ7e3s8ffoUxsbGZT6P2dnZ2Lx5M2rWrAkACA8Px/Xr1xEbGwszMzMAwObNm9GoUSNERESgdevWJb/wnwm5JmY9e/ZEz549i90mlUoRHh4uU7ZixQq0adMGcXFxqFOnjliuoaEhvtCFRUdHIywsDBcuXBBf/LVr18Le3h537tyBjY0NDh8+jKioKMTHx4sfxsWLF8PHxwc//fQTdHR0KqK7RERERCRH7dq1g0QiEZ/b29tj8eLFuHz5MgRBkEluACArKwv6+vricyUlJbRq1Up83qBBA9SoUQPR0dElJmb169eHoqKi+NzExAQ3btwA8OZ3qpKSkvgbFQD09fVhY2OD6OhoAG9+L58+fRoAYG5ujlu3biEyMhIdO3Ys9rqr9PR0PHnyBO3bt5cpb9++Pf755x+ZsiZNmsjEBQBJSUlo0KABoqOj0a9fvyJtLF26FHl5eWKf3m7DyMgIAGBnZ1ekLCkpSfy9XpbzaG5uLiZlBefKzMxMTMoAwNbWVtyPidlHlpaWBolEUmSJza1bt2LLli0wMjJCz549MWvWLGhrawMAzp8/D6lUKvOGb9euHaRSKc6dOwcbGxucP38ejRs3FpMyAHB2dkZWVhauXLmCzp07FxtPVlYWsrKyxOfp6ekV2FsiIiIi+lgUFRVx5coVmSQKQJHFPN5O7EorK1A4eZJIJMjPzwcAmel9bxMEQWzz999/R2ZmpkxbhWeHFadwTG+3WVxsBdvejq24Ngorro3S2i0pvsJlmpqa74y/tPLP0Wez+Mfr16/x7bffwt3dXWYEy8PDA3/88QdOnDiBwMBA7Ny5EwMGDBC3JyYmwtDQsEh7hoaGSExMFOsUZPMFdHV1oaKiItYpzrx588Tr1qRSqUwGT0RERESflgsXLhR5bm1tjebNmyMvLw9JSUmwsrKSebw9Kys3N1fmkpo7d+4gNTUVDRo0eK94bG1tkZubi4sXL4plz549w927d9GwYUMAQK1atcRYzM3NAbwZpTp9+nSx16Hp6OjA1NQUZ86ckSk/d+6c2GZZYyuujbp16xZJXsvrfc6jra0t4uLiZBYJiYqKQlpaWrn69Sn7LBKznJwcDBkyBPn5+fjll19ktvn5+aFbt25o3LgxhgwZgj///BNHjhzB1atXxTplya7fJwOfPn060tLSxMfbbxQiIiIi+rTEx8dj0qRJuHPnDv744w+sWLEC48ePR/369eHh4QEvLy/s2rULsbGxiIiIwIIFC3Dw4EFxf2VlZfj7++PixYu4evUqhg0bhnbt2pU4jfFdrK2t0a9fP/j5+eHMmTP4559/8NVXX6FWrVpFphG+bdy4ceKCGZcvX8a9e/ewefNm3LlzBwDwzTffYMGCBdi+fTvu3LmDb7/9FpGRkRg/fnyZY5s8eTKOHj2KH3/8EXfv3sXGjRuxcuVK8XqyD/E+57Fbt25o0qQJPDw8cPXqVVy6dAleXl5wdHSUmRb5OfvkE7OcnBy4ubkhNjYW4eHh77zeq0WLFlBWVhZXnTE2Ni52Gc3k5GRxlMzY2LjIyFhKSgpycnKKjKS9TVVVFTo6OjIPIiIiIvo0eXl5ITMzE23atMHYsWPh7++PkSNHAgA2bNgALy8vTJ48GTY2Nujbty8uXrwoMyNKQ0MD06ZNg7u7O+zt7aGuro6QkJAPimnDhg1o2bIl+vTpA3t7ewiCgIMHD5Z63y59fX0cO3YMGRkZcHR0RMuWLbF27Vpxn4CAAEyePBmTJ0+GnZ0dwsLCsG/fPlhbW5c5rhYtWiA0NBQhISFo3LgxZs6ciR9++KFCVkF8n/NYsIK7rq4uOnXqhG7duqFu3bpFVon8rAmfCADC7t27Zcqys7OF/v37C40aNRKSkpLK1M6NGzcEAMLJkycFQRCEqKgoAYBw8eJFsc6FCxcEAMLt27cFQRCEgwcPCgoKCsKTJ0/EOiEhIYKqqqqQlpZW5j6kpaUJAMq1D/2/WbNmyTsEqib4Xvt08bWhj4XvtfeTmZkpREVFCZmZmfIOpdwcHR2F8ePHv/f+GzZsEKRSabn3+/fff9/7mJ+iqtafD1XaZ6K8uYFcR8wyMjIQGRkp3psgNjYWkZGRiIuLQ25uLr788ktcvnwZW7duRV5eHhITE5GYmCjeXywmJgY//PADLl++jIcPH+LgwYMYNGgQmjdvLq5E07BhQ7i4uMDPzw8XLlzAhQsX4Ofnhz59+sDGxgYA0KNHD9ja2sLT0xPXrl3D0aNHMWXKFPj5+XEUjAhvbvRIRERERJVHronZ5cuX0bx5czRv3hwAMGnSJDRv3hwzZ87E48ePsW/fPjx+/BjNmjWDiYmJ+Dh37hwAQEVFBUePHoWzszNsbGwQEBCAHj164MiRIzIXJW7duhV2dnbo0aMHevTogSZNmmDz5s3idkVFRRw4cABqampo37493Nzc0L9/fyxatOjjnhAiIiIiIqqW5LpcvpOTU4nLhAIlLyFawMzMDCdPnnzncfT09LBly5ZS69SpUwf79+9/Z1tERERE9Pk5ceLEB+3v4+MDHx+fComFqDif/OIfREREREREVR0TMyIiIiIiIjljYkZERERERCRnTMyIiIiIiIjkjIkZERERERGRnDExIyIiqiS8ByAREZUVEzMiIiIiIiI5k+t9zIiIiIioanj87emPdqza8zuWex8nJyc0a9YMS5curfiAysnHxwepqanYs2ePvEOhTwhHzIiIiIiIiOSMiRkRERERVWk+Pj44efIkli1bBolEAolEgocPH+LkyZNo06YNVFVVYWJigm+//Ra5ubnifk5OTvD398eECROgq6sLIyMj/Pbbb3j58iWGDRsGbW1t1KtXD3///be4T15eHoYPHw5LS0uoq6ujY8eOWLZsmbg9KCgIGzduxN69e8VYTpw4AQD4999/MXjwYOjq6kJfXx/9+vXDw4cPP9ZpIjljYkZEREREVdqyZctgb28PPz8/JCQkICEhAcrKyujVqxdat26Nf/75B6tXr8a6deswZ84cmX03btwIAwMDXLp0Cf7+/hg9ejQGDRoEBwcHXL16Fc7OzvD09MSrV68AAPn5+ahduzZCQ0MRFRWFiRMnYsaMGQgNDQUATJkyBW5ubnBxcRFjcXBwwKtXr9C5c2doaWnh1KlTOHPmDLS0tODi4oLs7OyPfs7o42NiRkRERERVmlQqhYqKCjQ0NGBsbAxjY2P88ssvMDMzw8qVK9GgQQP0798fs2fPxuLFi5Gfny/u27RpU3z//fewtrbG9OnToa6uDgMDA/j5+cHa2hozZ87Es2fPcP36dQCAsrIyZs+ejdatW8PS0hIDBgyAj4+PmJhpaWlBXV0dqqqqYiwqKioICQmBgoICfv/9d9jZ2aFhw4bYsGED4uLixBE1qtq4+AcRERERVTvR0dGwt7eHRCIRy9q3b4+MjAw8fvwYderUAQA0adJE3K6oqAh9fX3Y2dmJZUZGRgCApKQksezXX3/F77//jkePHuHVq1fIyclBs2bNSo3nypUruH//PrS1tWXKX79+jZiYmPfuJ30+mJgRERERUbUjCIJMUlZQBkCmXFlZWaaORCKRKSuoWzDKFhoaiokTJ2Lx4sWwt7fHq1evsGnTJly8eLHUePLz89GyZUts3bq1yLaaNWuWo2f0uWJiRkRERERVnoqKCvLy8sTntra22Llzp0yCdu7cOWhra6NWrVrvfZzTp0/DwcEBY8aMAQA8efKkyIhX4VgAoEWLFti+fTsMDQ2ho6Pz3senzxevMSMiIiKiKs/CwgIXL17Ew4cP8d9//2HMmDGIj4+Hv78/bt++jb1792LWrFmYNGkSFBTe/yeylZUVLl++jEOHDuHu3btYuHAhIiIiisRy/fp13LlzB//99x9ycnLg4eEBAwMD9OvXD6dPn0ZsbCxOnjyJ8ePH4/Hjxx/affoMMDEjIiIioipvypQpUFRUhK2tLWrWrImcnBwcPHgQly5dQtOmTTFq1CgMHz4c33///QcdZ9SoURgwYAAGDx6Mtm3bIiUlRRw9K+Dn5wcbGxu0atUKNWvWxNmzZ6GhoYFTp06hTp06GDBgABo2bAhfX19kZmZyBK2a4FRGIiIiIvpgted3lHcIpapfvz7Onz8vU2ZhYYFLly6VuE9xqyEWd1+xgmvTAEBVVRUbNmzAhg0bALyZymhqaop58+aJdWrWrInDhw8XacfY2BgbN258V1eoiuKIGRERERERkZwxMSMiIiIiIpIzJmZERERERERyxsSMiIiIiIhIzj4oMcvKyqqoOIiIiIiIiKqtciVmhw4dgo+PD+rVqwdlZWVoaGhAW1sbjo6O+Omnn/DkyZPKipOIiIiIiKjKKlNitmfPHtjY2MDb2xsKCgr45ptvsGvXLhw6dAjr1q2Do6Mjjhw5grp162LUqFFITk6u7LiJiIiIiIiqjDLdx2zu3LlYtGgRevfuXeyd0N3c3AAA//77L5YtW4ZNmzZh8uTJFRspERERERFRFVWmxKy0G++9rVatWli4cOEHBURERERERFTdcFVGIiIiIiIiOSvTiNnb8vLyEBwcjKNHjyIpKQn5+fky248dO1ZhwRERERHR5yEoKKhKHovoYyl3YjZ+/HgEBwejd+/eaNy4MSQSSWXERUREREREVG2UOzELCQlBaGgoevXqVRnxEBERERFVqE2bNmHixIl48uQJVFVVxfKBAwdCU1MTCgoKSE1NxZ49e8RtEyZMQGRkJE6cOAEAyM/Px//+9z+sXbsW8fHxMDIywtdff43vvvsOADBt2jTs3r0bjx8/hrGxMTw8PDBz5syP2U36zJX7GjMVFRVYWVlVRixERERERBVu0KBByMvLw759+8Sy//77D/v378ewYcPK1Mb06dOxYMECBAYGIioqCtu2bYORkZG4XVtbG8HBwYiKisKyZcuwdu1aLFmypML7QlVXuROzyZMnY9myZRAEoTLiISIiIiKqUOrq6nB3d8eGDRvEsq1bt6J27dpwcnJ65/4vXrzAsmXLsHDhQnh7e6NevXro0KEDRowYIdb5/vvv4eDgAAsLC7i6umLy5MkIDQ2tjO5QFVXuqYxnzpzB8ePH8ffff6NRo0ZQVlaW2b5r164KC46IiIiIqCL4+fmhdevW+Pfff1GrVi1s2LABPj4+ZVovITo6GllZWejatWuJdf78808sXboU9+/fR0ZGBnJzc6Gjo1ORXaAqrtyJWY0aNfDFF19URixERERERJWiefPmaNq0KTZt2gRnZ2fcuHEDf/31FwBAQUGhyGywnJwc8W91dfVS275w4QKGDBmC2bNnw9nZGVKpFCEhIVi8eHHFd4SqrHInZm8PARMRERERfS5GjBiBJUuW4N9//0W3bt1gZmYGAKhZsyZu3rwpUzcyMlKcGWZtbQ11dXUcPXpUZvpigbNnz8Lc3FxcCAQAHj16VIk9oarovW8wnZycjDNnzuDs2bNITk6uyJiIiIiIiCqch4cH/v33X6xduxa+vr5ieZcuXXD58mVs2rQJ9+7dw6xZs2QSNTU1NUybNg1Tp07Fpk2bEBMTgwsXLmDdunUAACsrK8TFxSEkJAQxMTFYvnw5du/e/dH7R5+3cidmL1++hK+vL0xMTNCpUyd07NgRpqamGD58OF69elUZMRIRERERfTAdHR0MHDgQWlpa6N+/v1ju7OyMwMBATJ06Fa1bt8aLFy/g5eUls29gYCAmT56MmTNnomHDhhg8eDCSkpIAAP369cPEiRMxbtw4NGvWDOfOnUNgYODH7BpVAeWeyjhp0iScPHkSf/31F9q3bw/gzYIgAQEBmDx5MlavXl3hQRIRERHRpy0oKEjeIZRJQkICPDw8ZO5nBgCzZ8/G7NmzS9xPQUEB3333ncx0xbctXLgQCxculCmbMGECnjx58uFBU7VQ7sRs586d+PPPP2WWFu3VqxfU1dXh5ubGxIyIiIiIPjnPnz/H4cOHcezYMaxcuVLe4RAVUe7E7NWrVzI30ytgaGjIqYxERERE9Elq0aIFUlJSsGDBAtjY2Mg7HKIiyp2Y2dvbY9asWdi0aRPU1NQAAJmZmZg9ezbs7e0rPEAiIiIiog/18OFDeYdAVKpyJ2ZLly5Fz549Ubt2bTRt2hQSiQSRkZFQU1PDoUOHKiNGIiIiIiKiKq3ciZmdnR3u3buHLVu24Pbt2xAEAUOGDIGHh8c7b75HRERERERERZU7MTt16hQcHBzg5+cnU56bm4tTp06hU6dOFRYcEREREX168vPz5R0C0SehIj8L5U7MOnfujISEBBgaGsqUp6WloXPnzsjLy6uw4IiIiIjo06GiogIFBQU8efIENWvWhIqKCiQSibzD+qTl5ubi9evX8g6jwlS1/rwvQRCQnZ2N5ORkKCgoQEVF5YPbLHdiJghCsR/AZ8+eQVNT84MDIiIiIqJPk4KCAiwtLZGQkMD7c5VRamoqXr58Ke8wKkxV68+H0tDQQJ06daCgoPDBbZU5MRswYAAAQCKRwMfHR+amfHl5ebh+/TocHBw+OCAiIiIiKp+goKCPdoNnFRUV1KlTB7m5uZwpVQYrV67EuHHj5B1Ghalq/fkQioqKUFJSqrBR4zInZlKpFMCbETNtbW2ZhT5UVFTQrl27ItedEREREVHVI5FIoKysDGVlZXmH8snLyMgQbzFVFVS1/nxKypyYbdiwAQBgYWGBKVOmcNriJ+Bj/usYERERERFVnnJfYzZr1qzKiIOIiIiIiKjaKtNVai4uLjh37tw767148QILFizAqlWrPjgwIiIiIiKi6qJMidmgQYPg5uaGhg0bYtq0adixYwfOnj2LK1eu4MiRI1i+fDnc3NxgYmKCa9euoW/fvmU6+KlTp+Dq6gpTU1NIJBLs2bNHZrsgCAgKCoKpqSnU1dXh5OSEW7duydTJysqCv78/DAwMoKmpib59++Lx48cydVJSUuDp6QmpVAqpVApPT0+kpqbK1ImLi4Orqys0NTVhYGCAgIAAZGdnl6kfREREREREH6JMidnw4cPx4MEDBAYG4vbt2/j666/RsWNHtG7dGs7Ozli7di3q1KmDK1euICQkBGZmZmU6+MuXL9G0aVOsXLmy2O0LFy7Ezz//jJUrVyIiIgLGxsbo3r07Xrx4IdaZMGECdu/ejZCQEJw5cwYZGRno06ePzCpB7u7uiIyMRFhYGMLCwhAZGQlPT09xe15eHnr37o2XL1/izJkzCAkJwc6dOzF58uQy9YOIiIiIiOhDlPkaMxUVFbi7u8Pd3R3AmxtKZ2ZmQl9f/71X5OnZsyd69uxZ7DZBELB06VJ899134lL9GzduhJGREbZt24avv/4aaWlpWLduHTZv3oxu3boBALZs2QIzMzMcOXIEzs7OiI6ORlhYGC5cuIC2bdsCANauXQt7e3vcuXMHNjY2OHz4MKKiohAfHw9TU1MAwOLFi+Hj44OffvoJOjo679U/IiIiIiKisnjvO6FJpVIYGxtX2jKpsbGxSExMRI8ePcQyVVVVODo6ite7XblyBTk5OTJ1TE1N0bhxY7HO+fPnIZVKxaQMANq1awepVCpTp3HjxmJSBgDOzs7IysrClStXSowxKysL6enpMg8iIiIiIqLy+vBbVFeSxMREAICRkZFMuZGRkbgtMTERKioq0NXVLbWOoaFhkfYNDQ1l6hQ+jq6uLlRUVMQ6xZk3b5543ZpUKi3zFE4iIiIiIqK3fbKJWYHCd9IWBOGdd9cuXKe4+u9Tp7Dp06cjLS1NfMTHx5caFxERERERUXE+2cTM2NgYAIqMWCUlJYmjW8bGxsjOzkZKSkqpdZ4+fVqk/eTkZJk6hY+TkpKCnJycIiNpb1NVVYWOjo7Mg4iIiIiIqLw+2cTM0tISxsbGCA8PF8uys7Nx8uRJODg4AABatmwJZWVlmToJCQm4efOmWMfe3h5paWm4dOmSWOfixYtIS0uTqXPz5k0kJCSIdQ4fPgxVVVW0bNmyUvtJRERERERU5lUZC8vOzkZSUhLy8/NlyuvUqVPmNjIyMnD//n3xeWxsLCIjI6Gnp4c6depgwoQJmDt3LqytrWFtbY25c+dCQ0NDXBlSKpVi+PDhmDx5MvT19aGnp4cpU6bAzs5OXKWxYcOGcHFxgZ+fH9asWQMAGDlyJPr06QMbGxsAQI8ePWBrawtPT0/873//w/PnzzFlyhT4+flxFIyIiIiIiCpduROze/fuwdfXV1zRsEDB9Vhv3z/sXS5fvozOnTuLzydNmgQA8Pb2RnBwMKZOnYrMzEyMGTMGKSkpaNu2LQ4fPgxtbW1xnyVLlkBJSQlubm7IzMxE165dERwcDEVFRbHO1q1bERAQIK7e2LdvX5l7pykqKuLAgQMYM2YM2rdvD3V1dbi7u2PRokXlOzlERERERETvodyJmY+PD5SUlLB//36YmJi8cyGO0jg5OUEQhBK3SyQSBAUFISgoqMQ6ampqWLFiBVasWFFiHT09PWzZsqXUWOrUqYP9+/e/M2YiIiIiIqKKVu7ELDIyEleuXEGDBg0qIx4iIiIiIqJqp9yLf9ja2uK///6rjFiIiIiIiIiqpXInZgsWLMDUqVNx4sQJPHv2DOnp6TIPIiIiIiIiKp9yT2UsWO2wa9euMuXvs/gHERERERERvUdidvz48cqIg4iIiIiIqNoqd2Lm6OhYGXEQERERERFVW+91g+nU1FSsW7cO0dHRkEgksLW1ha+vL6RSaUXHR0REREREVOWVe/GPy5cvo169eliyZAmeP3+O//77Dz///DPq1auHq1evVkaMREREREREVVq5R8wmTpyIvn37Yu3atVBSerN7bm4uRowYgQkTJuDUqVMVHiQREREREVFVVu7E7PLlyzJJGQAoKSlh6tSpaNWqVYUGR0REREREVB2Ueyqjjo4O4uLiipTHx8dDW1u7QoIiIiIiIiKqTsqdmA0ePBjDhw/H9u3bER8fj8ePHyMkJAQjRozA0KFDKyNGIiIiIiKiKq3cUxkXLVoEiUQCLy8v5ObmAgCUlZUxevRozJ8/v8IDJCIiIiIiqurKnZipqKhg2bJlmDdvHmJiYiAIAqysrKChoVEZ8REREREREVV573UfMwDQ0NCAnZ1dRcZCRERERERULZUpMRswYACCg4Oho6ODAQMGlFp3165dFRIYERERERFRdVGmxEwqlUIikYh/ExERERERUcUpU2K2YcOGYv8mIiIiIiKiD1fu5fJjY2Nx7969IuX37t3Dw4cPKyImIiIiIiKiaqXciZmPjw/OnTtXpPzixYvw8fGpiJiIiIiIiIiqlXInZteuXUP79u2LlLdr1w6RkZEVERMREREREVG1Uu7ETCKR4MWLF0XK09LSkJeXVyFBERERERERVSflTsw6duyIefPmySRheXl5mDdvHjp06FChwREREREREVUH5b7B9MKFC9GpUyfY2NigY8eOAIDTp08jPT0dx44dq/AAiYiIiIiIqrpyj5jZ2tri+vXrcHNzQ1JSEl68eAEvLy/cvn0bjRs3rowYiYiIiIiIqrRyj5gBgKmpKebOnVvRsRAREREREVVL5R4x27BhA3bs2FGkfMeOHdi4cWOFBEVERERERFSdlDsxmz9/PgwMDIqUGxoachSNiIiIiIjoPZQ7MXv06BEsLS2LlJubmyMuLq5CgiIiIiIiIqpOyp2YGRoa4vr160XK//nnH+jr61dIUERERERERNVJuROzIUOGICAgAMePH0deXh7y8vJw7NgxjB8/HkOGDKmMGImIiIiIiKq0cq/KOGfOHDx69Ahdu3aFktKb3fPz8+Hl5cVrzIiIiIiIiN5DuRMzFRUVbN++HT/++CP++ecfqKurw87ODubm5pURHxERERERUZX3XvcxA4D69eujfv36FRkLERERERFRtVTuxMzX17fU7evXr3/vYIiIiIiIiKqjcidmKSkpMs9zcnJw8+ZNpKamokuXLhUWGBERERERUXVR7sRs9+7dRcry8/MxZswY1K1bt0KCIiIiIiIiqk7KvVx+sY0oKGDixIlYsmRJRTRHRERERERUrVRIYgYAMTExyM3NrajmiIiIiIiIqo1yT2WcNGmSzHNBEJCQkIADBw7A29u7wgIjIiIiIiKqLsqdmF27dk3muYKCAmrWrInFixe/c8VGIiIiIiIiKqrcidnx48crIw4iIiIiIqJqq8KuMSMiIiIiIqL3U6YRs+bNm0MikZSpwatXr35QQERERERERNVNmRKz/v37i3+/fv0av/zyC2xtbWFvbw8AuHDhAm7duoUxY8ZUSpBERERERERVWZkSs1mzZol/jxgxAgEBAfjxxx+L1ImPj6/Y6IiIiIiIiKqBcl9jtmPHDnh5eRUp/+qrr7Bz584KCYqIiIiIiKg6KXdipq6ujjNnzhQpP3PmDNTU1CokKCIiIiIiouqk3MvlT5gwAaNHj8aVK1fQrl07AG+uMVu/fj1mzpxZ4QESERERERFVdeVOzL799lvUrVsXy5Ytw7Zt2wAADRs2RHBwMNzc3Co8QCIiIiIioqqu3IkZALi5uTEJIyIiIiIiqiDvlZgBwJUrVxAdHQ2JRAJbW1s0b968IuMiIiIiIiKqNsq9+EdSUhK6dOmC1q1bIyAgAOPGjUPLli3RtWtXJCcnV3iAFhYWkEgkRR5jx44FAPj4+BTZVnDtW4GsrCz4+/vDwMAAmpqa6Nu3Lx4/fixTJyUlBZ6enpBKpZBKpfD09ERqamqF94eIiIiIiKiwcidm/v7+SE9Px61bt/D8+XOkpKTg5s2bSE9PR0BAQIUHGBERgYSEBPERHh4OABg0aJBYx8XFRabOwYMHZdqYMGECdu/ejZCQEJw5cwYZGRno06cP8vLyxDru7u6IjIxEWFgYwsLCEBkZCU9PzwrvDxERERERUWHlnsoYFhaGI0eOoGHDhmKZra0tVq1ahR49elRocABQs2ZNmefz589HvXr14OjoKJapqqrC2Ni42P3T0tKwbt06bN68Gd26dQMAbNmyBWZmZjhy5AicnZ0RHR2NsLAwXLhwAW3btgUArF27Fvb29rhz5w5sbGwqvF9EREREREQFyj1ilp+fD2Vl5SLlysrKyM/Pr5CgSpKdnY0tW7bA19cXEolELD9x4gQMDQ1Rv359+Pn5ISkpSdx25coV5OTkyCSNpqamaNy4Mc6dOwcAOH/+PKRSqZiUAUC7du0glUrFOsXJyspCenq6zIOIiIiIiKi8yp2YdenSBePHj8eTJ0/Esn///RcTJ05E165dKzS4wvbs2YPU1FT4+PiIZT179sTWrVtx7NgxLF68GBEREejSpQuysrIAAImJiVBRUYGurq5MW0ZGRkhMTBTrGBoaFjmeoaGhWKc48+bNE69Jk0qlMDMzq4BeEhERERFRdVPuxGzlypV48eIFLCwsUK9ePVhZWcHS0hIvXrzAihUrKiNG0bp169CzZ0+YmpqKZYMHD0bv3r3RuHFjuLq64u+//8bdu3dx4MCBUtsSBEFm1O3tv0uqU9j06dORlpYmPuLj49+jV0REREREVN2V+xozMzMzXL16FeHh4bh9+zYEQYCtra14/VZlefToEY4cOYJdu3aVWs/ExATm5ua4d+8eAMDY2BjZ2dlISUmRGTVLSkqCg4ODWOfp06dF2kpOToaRkVGJx1JVVYWqqur7dIeIiIiIiEhUrsQsNzcXampqiIyMRPfu3dG9e/fKiquIDRs2wNDQEL179y613rNnzxAfHw8TExMAQMuWLaGsrIzw8HDxptgJCQm4efMmFi5cCACwt7dHWloaLl26hDZt2gAALl68iLS0NDF5IyIiIiIiqizlSsyUlJRgbm4us8z8x5Cfn48NGzbA29sbSkr/H3JGRgaCgoIwcOBAmJiY4OHDh5gxYwYMDAzwxRdfAACkUimGDx+OyZMnQ19fH3p6epgyZQrs7OzEUb6GDRvCxcUFfn5+WLNmDQBg5MiR6NOnD1dkJCIiIiKiSlfua8y+//57TJ8+Hc+fP6+MeIp15MgRxMXFwdfXV6ZcUVERN27cQL9+/VC/fn14e3ujfv36OH/+PLS1tcV6S5YsQf/+/eHm5ob27dtDQ0MDf/31FxQVFcU6W7duhZ2dHXr06IEePXqgSZMm2Lx580frIxERERERVV/lvsZs+fLluH//PkxNTWFubg5NTU2Z7VevXq2w4Ar06NEDgiAUKVdXV8ehQ4feub+amhpWrFhR6uIkenp62LJlywfFSURERERE9D7KnZj169ev1JUKiYiIiIiIqHzKnZgFBQVVQhhERERERETVV5mvMXv16hXGjh2LWrVqwdDQEO7u7vjvv/8qMzYiIiIiIqJqocyJ2axZsxAcHIzevXtjyJAhCA8Px+jRoyszNiIiIiIiomqhzFMZd+3ahXXr1mHIkCEAgK+++grt27dHXl6ezOqGREREREREVD5lHjGLj49Hx44dxedt2rSBkpISnjx5UimBERERERERVRdlTszy8vKgoqIiU6akpITc3NwKD4qIiIiIiKg6KfNURkEQ4OPjA1VVVbHs9evXGDVqlMy9zHbt2lWxERIREREREVVxZU7MvL29i5R99dVXFRoMERERERFRdVTmxGzDhg2VGQcREREREVG1VeZrzIiIiIiIiKhyMDEjIiIiIiKSMyZmREREREREcsbEjIiIiIiISM6YmBEREREREckZEzMiIiIiIiI5Y2JGREREREQkZ0zMiIiIiIiI5IyJGRERERERkZwxMSMiIiIiIpIzJmZERERERERyxsSMiIiIiIhIzpiYERERERERyRkTMyIiIiIiIjljYkZERERERCRnTMyIiIiIiIjkjIkZERERERGRnDExIyIiIiIikjMmZkRERERERHLGxIyIiIiIiEjOmJgRERERERHJGRMzIiIiIiIiOWNiRkREREREJGdMzIiIiIiIiOSMiRkREREREZGcMTEjIiIiIiKSMyZmREREREREcsbEjIiIiIiISM6YmBEREREREckZEzMiIiIiIiI5Y2JGREREREQkZ0zMiIiIiIiI5IyJGRERERERkZwxMSMiIiIiIpIzJmZERERERERyxsSMiIiIiIhIzpiYERERERERyRkTMyIiIiIiIjljYkZERERERCRnTMyIiIiIiIjkjIkZERERERGRnDExIyIiIiIikrNPOjELCgqCRCKReRgbG4vbBUFAUFAQTE1Noa6uDicnJ9y6dUumjaysLPj7+8PAwACampro27cvHj9+LFMnJSUFnp6ekEqlkEql8PT0RGpq6sfoIhERERER0aedmAFAo0aNkJCQID5u3Lghblu4cCF+/vlnrFy5EhERETA2Nkb37t3x4sULsc6ECROwe/duhISE4MyZM8jIyECfPn2Ql5cn1nF3d0dkZCTCwsIQFhaGyMhIeHp6ftR+EhERERFR9aUk7wDeRUlJSWaUrIAgCFi6dCm+++47DBgwAACwceNGGBkZYdu2bfj666+RlpaGdevWYfPmzejWrRsAYMuWLTAzM8ORI0fg7OyM6OhohIWF4cKFC2jbti0AYO3atbC3t8edO3dgY2Pz8TpLRERERETV0ic/Ynbv3j2YmprC0tISQ4YMwYMHDwAAsbGxSExMRI8ePcS6qqqqcHR0xLlz5wAAV65cQU5OjkwdU1NTNG7cWKxz/vx5SKVSMSkDgHbt2kEqlYp1SpKVlYX09HSZBxERERERUXl90olZ27ZtsWnTJhw6dAhr165FYmIiHBwc8OzZMyQmJgIAjIyMZPYxMjIStyUmJkJFRQW6urql1jE0NCxybENDQ7FOSebNmydelyaVSmFmZvbefSUiIiIiourrk07MevbsiYEDB8LOzg7dunXDgQMHALyZslhAIpHI7CMIQpGywgrXKa5+WdqZPn060tLSxEd8fPw7+0RERERERFTYJ52YFaapqQk7Ozvcu3dPvO6s8KhWUlKSOIpmbGyM7OxspKSklFrn6dOnRY6VnJxcZDSuMFVVVejo6Mg8iIiIiIiIyuuzSsyysrIQHR0NExMTWFpawtjYGOHh4eL27OxsnDx5Eg4ODgCAli1bQllZWaZOQkICbt68Kdaxt7dHWloaLl26JNa5ePEi0tLSxDpERERERESV6ZNelXHKlClwdXVFnTp1kJSUhDlz5iA9PR3e3t6QSCSYMGEC5s6dC2tra1hbW2Pu3LnQ0NCAu7s7AEAqlWL48OGYPHky9PX1oaenhylTpohTIwGgYcOGcHFxgZ+fH9asWQMAGDlyJPr06cMVGYmIiIiI6KP4pBOzx48fY+jQofjvv/9Qs2ZNtGvXDhcuXIC5uTkAYOrUqcjMzMSYMWOQkpKCtm3b4vDhw9DW1hbbWLJkCZSUlODm5obMzEx07doVwcHBUFRUFOts3boVAQEB4uqNffv2xcqVKz9uZ4mIiIiIqNr6pBOzkJCQUrdLJBIEBQUhKCioxDpqampYsWIFVqxYUWIdPT09bNmy5X3DJCIiIiIi+iCf1TVmREREREREVRETMyIiIiIiqlClzWij4jExIyIiIiIikjMmZkRERERERHLGxIyIiIiIiEjOmJgRERERERHJGRMzIiIiIiIiOWNiRkREREREJGdMzIiIiIiIiOSMiRkREREREVEpPsZ92ZiYERERERERyRkTMyIiIiIiIjljYkZERERERCRnTMyIiIiIiIjkjIkZERERERGRnDExIyIiIiIikjMmZiTjYywFSkREREREspiYERERERERyRkTMyIiIiIiIjljYkZERERERCRnTMyIiIiIiIjkjIkZERERERGRnDExIyIiIiIikjMmZkRERERERHLGxIyIiIiIiEjOmJgRERERERHJGRMzIiIiIiIiOWNiRkREREREJGdMzIiIiIiIiOSMiRkREREREZVq1ahj8g6hymNiRkREREREJGdMzIiIiIiIiOSMiRkREREREZGcMTEjIiIi+kzxuh+iqoOJGRERERERkZwxMSMiIiIiIpIzJmZERERERERyxsSMiIiIiIhIzpiYERFRlRYUFCTvEIiIiN6JiRkRERERUQXjiplUXkzMiIiIiIiI5IyJGRERkZxxuiURETExIyIiIiIikjMmZkRERERERHLGxIyIiIiIiEjOmJgRERERERHJGRMzIiIiIiIiOWNiRkREREREJGdMzIiIiIiIiOSMiRkREREREZGcMTEjIiIiIiKSMyZmREREREREcsbEjIiIiIiISM4+6cRs3rx5aN26NbS1tWFoaIj+/fvjzp07MnV8fHwgkUhkHu3atZOpk5WVBX9/fxgYGEBTUxN9+/bF48ePZeqkpKTA09MTUqkUUqkUnp6eSE1NrewuEhERERERfdqJ2cmTJzF27FhcuHAB4eHhyM3NRY8ePfDy5UuZei4uLkhISBAfBw8elNk+YcIE7N69GyEhIThz5gwyMjLQp08f5OXliXXc3d0RGRmJsLAwhIWFITIyEp6enh+ln0REREREVL0pyTuA0oSFhck837BhAwwNDXHlyhV06tRJLFdVVYWxsXGxbaSlpWHdunXYvHkzunXrBgDYsmULzMzMcOTIETg7OyM6OhphYWG4cOEC2rZtCwBYu3Yt7O3tcefOHdjY2FRSD+l9BAUFISgoSN5hEBERERFVmE96xKywtLQ0AICenp5M+YkTJ2BoaIj69evDz88PSUlJ4rYrV64gJycHPXr0EMtMTU3RuHFjnDt3DgBw/vx5SKVSMSkDgHbt2kEqlYp1ipOVlYX09HSZBxERERERUXl9NomZIAiYNGkSOnTogMaNG4vlPXv2xNatW3Hs2DEsXrwYERER6NKlC7KysgAAiYmJUFFRga6urkx7RkZGSExMFOsYGhoWOaahoaFYpzjz5s0Tr0mTSqUwMzOriK4SEREREVE189kkZuPGjcP169fxxx9/yJQPHjwYvXv3RuPGjeHq6oq///4bd+/exYEDB0ptTxAESCQS8fnbf5dUp7Dp06cjLS1NfMTHx5ezV58vTiWsODyXRERERPRZJGb+/v7Yt28fjh8/jtq1a5da18TEBObm5rh37x4AwNjYGNnZ2UhJSZGpl5SUBCMjI7HO06dPi7SVnJws1imOqqoqdHR0ZB5ERERERETl9UknZoIgYNy4cdi1axeOHTsGS0vLd+7z7NkzxMfHw8TEBADQsmVLKCsrIzw8XKyTkJCAmzdvwsHBAQBgb2+PtLQ0XLp0Saxz8eJFpKWliXWIiIiIiIhK8yEzoT7pVRnHjh2Lbdu2Ye/evdDW1hav95JKpVBXV0dGRgaCgoIwcOBAmJiY4OHDh5gxYwYMDAzwxRdfiHWHDx+OyZMnQ19fH3p6epgyZQrs7OzEVRobNmwIFxcX+Pn5Yc2aNQCAkSNHok+fPlyRkYiIiIiIKt0nnZitXr0aAODk5CRTvmHDBvj4+EBRURE3btzApk2bkJqaChMTE3Tu3Bnbt2+Htra2WH/JkiVQUlKCm5sbMjMz0bVrVwQHB0NRUVGss3XrVgQEBIirN/bt2xcrV66s/E4SEREREVG190knZoIglLpdXV0dhw4demc7ampqWLFiBVasWFFiHT09PWzZ8n/tnXl8TOf+x79nsgchghDZFCESKrX00tquXVXT1lJBEbSqqJ2rar22WoJW09tW6KUoJb23LUotUVW7KEEtEdUQtNZaQuL7+8Od+WWSmclzJs/JzByf9+uVV5s5T845b89nZp7vWZ6zQvU+AgAAAAAAAEBRcep7zAAAAABHEz7O9iy/AAAAgAxQmAEAAAAAAOBC4FE7+gSFGQAAAAAAAAA4GBRmAAAAAAAAAOBgUJgBAAAAAAAAgINBYQYAAAAAAAAADgaFGQAAAAAAAAA4GBRmAAAAAABA12AWQ+AKoDADAAAAAAAAAAeDwgwAAAAAAAAAHAwKMwAAAAA4BFxeBgAA/w8KMwAAAAAACaDQBAAUBRRmAABQjGDgBoBjWTxwm6N3AQAALILCDAAAAAAAAAAcDAozAAAAAAAAAHAwKMwAAMCFCB/3naN3AQAAAAAagMIMAAAAAAAAABwMCjMAAADgCQJnXQEAwDlBYQYAAAAAAAAADgaFGQAAAAAAcEnwCBKgJ1CYAQAAAAAAAICDQWEGAAAAAAAAAA4GhRkAAAAApILLywAAQD0ozAAAADicxQO3OXoXpKI3HwAAANqDwgwAAAAAAAAAHAwKMwAAAAAAAABwMCjMAAAAOAxnetgx7osCAADgSFCYAQAAAE8wKEgBAMA5QGEGAABPCBiAAwAAAM4LCjMAAAAAACAdZ7pUGQBXAIUZAAAAAIATgEIGgCcbFGYAAGAFXPoHAAAAgOIChRkAAAAAALAbHMQCQA4ozAAAAABQAFxWp09QRAHgvKAwAwAUAAMyAICrgsIDAOCqoDADAAAAAAAAAAeDwgwA4NTg6DcAAAAAngRQmAEAAAAAAACAg0Fh5oTgDAGwBHIBAAD2g3tnAXhycNUxEwozAAAAAAAAVOKqg3/gvKAwcyFwtA8AAAAAAAB9gsIMAAmgaAay0duRWL35AAAAALJBYQYAcAgYqAMAAABADXofO6AwA4D0/0a3xpPqDWyDXAAAANAtk0s7eg+sgsLMyfh93I+O3gWQh/yXKGLACgBwFfB5BZwNZNJFceJCRm+gMAMAAACKGdyXCooLZA0A1wGFGQAAAACAq6G3sxh68wHADlCYAU3BpZkAAAAAAAAUDgozIBVcMgEAAADYBvdamYOxAwCPQWEGAABACAyeAAAAAO1AYeYM4LpqAAAodlBoAgAAcCZQmAEAAAAA/A8tCnYcBACOApfNFp3FA7cV27ZQmOXjo48+oipVqpC3tzfVq1ePfvwRk1cAAAAANsGVHwAAUGRQmOXhyy+/pGHDhtG7775Lhw8fpiZNmlD79u3pt99+c/SuAWAVvR2J1ZuPKJp462iwHD7uO4f7nKgZ6dDtP0lo/Tkwr1tHTdfviujtsxefqQJo5FOcZ5iKgjN+DqAwy8P8+fOpX79+1L9/f4qMjKQFCxZQSEgIJSYmFsv2XSXIABhx5Be53gYRwHXAY0AAcCAuVhw54+AfOC/ujt4BZ+HBgwd08OBBGjdunNnrbdq0od27d1v8m+zsbMrOzjb9fvPmTSIiunXrFkVP+p6OTWkrtvFsJrp1i+49uEO3sz0oW8mmW7duFWj2KPuu2evZ2Zbbqdp2/l0RXKe1dvn38Xb2HYvttNi2Ft6i/+b528nYtr3/5qJkTtpN2d7O5+0K/+Yuk7X/fbYUtk5nyNq9B48/K2xuW2H6tXoE1Th4QNX2Zf2b/5WbS7du3RL6XBPyEdh2UXDGrNm7j6KIZi374UPb2/6HH9E/fle9fUf8m8vKmsM/zxXzDFnfmFjWNHmPqcx5YVkjIqKZwVKzRkT0t5V/oz1xewrfx2x1/+aFZc2IaDtRhH3y7rKA9/2HD22v6399o9Ynbzvjf5m50L8jIlJYtKXOuXjxIlWuXJl++uknaty4sen1GTNm0Oeff06//vprgb+ZPHkyTZkypTh3EwAAAAAAAOBCXLhwgYKDgwtthzNm+VAUxex3Zi7wmpF//OMfNGLECNPvjx49omvXrlFAQIDpb27dukUhISF04cIF8vPzs7pd2e2wbWwb28a2sW1sG9vGtrFtbBvbdty2mZlu375NQUFBNvfHCAqz/1GuXDlyc3OjrKwss9evXLlCgYGBFv/Gy8uLvLy8zF4rU6aMxbZ+fn6FhkSLdtg2to1tY9vYNraNbWPb2Da2jW07ZtulS4vfF4nJP/6Hp6cn1atXj7Zs2WL2+pYtW8wubQQAAAAAAAAA2eCMWR5GjBhBvXr1ovr161OjRo3ok08+od9++40GDhzo6F0DAAAAAAAA6BgUZnno1q0b/fnnnzR16lS6dOkSRUdH04YNGygsLMzudXp5edGkSZMKXPKodTtsG9vGtrFtbBvbxraxbWwb28a2nWvbtsCsjAAAAAAAAADgYHCPGQAAAAAAAAA4GBRmAAAAAAAAAOBgUJgBAAAAAAAAgINBYQYAAAAAAAAADgaFGQAAAAAAAAA4GEyXL5GbN29ScnIy/fjjj5SRkUF3796l8uXLU0xMDLVt29b0oGrRdkYuXLhg1i4qKqrAdJyi6/z1119p1apVVtu9+uqr5OXlpWofZfuoWZ9sH7UuMn1EXZA1ZA1ZQ9aQNWQNWUPWkDXnz5paMF2+BC5dukQTJ06kL774gipWrEgNGzakypUrk4+PD127do2OHTtGBw8epKCgIAoNDaWff/7ZZruwsDAaNGgQZWZm0qpVq+jChQuUt5s8PT2pSZMm9MYbb1Djxo1p8uTJhW47MDCQSpYsSadOnaLGjRtbbPfjjz/SjRs3qHr16nTs2LFC93Ho0KF08ODBQrct6tOlSxfat28frVy5stD1vf7667R161b68ccfpfio6ZtJkybR3/72N/r444+l+Ij2za1bt2jgwIF06dIlWr16NbKGrCFryBqyhqwha8gasuaEWRszZgwNGzZMfYHGoMiUL1+eR44cyUePHrXa5u7du+zn58cVK1bkkSNH2mzXtm1bNhgMXLt2bf7888/5xIkTfOvWLX748CFfvnyZt27dypMnT+YaNWqwm5sb9+jRo9BtlytXjsPCwnjKlCk2XcqUKcMRERE8dOhQm+tbuXIlu7u7c9OmTQvdtqiPm5sbBwQE8KpVqwrdtqenJ8fGxvKff/4pxUe0b1auXMmBgYHs5eXFr776qhQf0b7ZvXs3e3l58fPPP4+sFdEHWUPWLK0PWUPWiuqDrCFryJr5tp/UrHXp0oWnT59us50lUJhJ4MqVK6raFdZ+1KhRfOXKFaH1rly5kteuXVtou+zsbKFtG5cb2xfWVmQfRX2uXLnC3333nbCPyLZFfUT7hvmxz/Hjx4W2LeIj2jfGNqJ9I7JOZA1Zs7VOZM06yBqyZmsfkTXrIGu2Qdb0kbW87dWAwqyYyMnJ4eTkZGnt1JCVlVVodc/M/Mcff3BCQkKh7dTso2wfURdm+T6u0DfM+vJB1uSBrNkGWZMHsmYbZE0eyJptkDV5aJE1S6Aw05gTJ07w6NGjuUKFCuzh4VHkdszM165d40WLFvHTTz8ttA+pqalsMBgsLnv06BFv2rSJu3Tpwp6enlyuXDkp+6iVjy0XZm181Lgwy/NR46JmP5E1ZK0oLmr2E1lD1oriomY/kTVkrSguavYTWUPWiuJSGCjMNOCvv/7iJUuWcOPGjdlgMHDLli35008/5atXr9rVzsiWLVv4tddeY29vbw4ODrZ5HW5eLIXp3Llz/N5773FISAgbDAbu1asXb9myhXNycuzex+LwsfbGkO2j1kWmj6iLlj7IGrKWH2QNWUPW1Psga8gasmbOk5o1UVCYSWT37t0cHx/PJUuW5JiYGJ47dy67ublxWlqaXe2Ymc+fP8+TJ0/msLAwDggIYIPBwF999ZWq/TKG6f79+7xy5Ur++9//zt7e3vzyyy/z2rVr2d3dvUj7WJw+ed8YWviocZHpo8ZFKx9kzbILM7KGrCFryBqyhqwha8ia+qypBYWZJCIjIzksLIz/8Y9/mHVM/o4Sbffll19y69at2dfXlzt37sxff/01Z2dn29XxxjAFBARwkyZN+F//+hdfu3atyPvoCJ+8b3TZPmq8ZfuIumjhg6zZdmFG1pA1bX2QNWQNWUPW7PFB1pw7a/aAB0xL4syZM/Taa69RixYtKDIyssjt4uLiaMyYMbRu3ToqVaqUzW2PGDHC5vKrV68SEVFubi4pikKKopCbm1uR91FNW1EfURci+T5qvGX7iLqo2U9kDVnLC7KGrCFrlkHWkLWitEPWbLsQPblZswcUZpI4d+4cLVu2jN566y26d+8ede/enXr06EGKotjVLj4+nj766CNKSUmhXr16Ubdu3cjf39/itg8fPlzo/jVt2pQ2btxI69atoyVLltA777xD7du3p549e9q9j1r4iLoQPX6wt0wfNd6yfUT7RgsfZM22CxGyhqwha/b4IGvIGrKmrQ+y5txZs4sin3MDBdi6dSv36NGDfXx8WFEUHj16NP/666+q2929e5eXLVvGTZs2ZS8vL+7UqRO7ubnZfECgKGfOnOF3332Xg4ODWVEUjouL482bNxe4YVHURW8+Iu208hF1kenjSn2jNx9kzXn7Rm8+yJrz9o3efJA15+0bvfm4StZEQWGmITdu3ODFixdzvXr1WFEUrl27tt3tTp06xePGjeOgoCD28/Pj7t2787p164q8j7m5ubxhwwZ+9dVX2dPTkwMCAorkojcf0XZa+Ii6yPZxlb7Rmw+y5rx9ozcfZM15+0ZvPsia8/aN3nxcJWuFoTAzyzn3BmyRmppKSUlJtGjRokLbffDBB7RkyRKLyx89ekTfffcdLVmyhDZu3EjZ2dmFXhdrZP78+TaXX716lZYvX17o+kRdjG3V+Lz99tuFrpOocBci+T6FuRBp5yPqYtxPZK0gyNpjkDXr+4isWQZZewyyZn0fkbWCIGuPQdbUgcLMibh//z599NFH9P7771NWVlah7a9cuUIVKlSgFi1aFNpWURTatm2bjN0Uxh6fbt26FdrOFVyI9OWDrBUfyBqyVlwga8hacYGsIWvFhatnDZN/SOLvf/97oW0URaGNGzfSlClTaPPmzeTh4UFjxoyh2NhYWrp0Kb377rukKAq98847dPDgQRo1ahT95z//IT8/P7P13Lx5k2JjY2nhwoVUoUIF2r59u9A+PvXUU0LtwsPDhVy2bt1KDx48kOoj6qKFj2jfEJF0H1GX9PR0ZA1ZK5IPsmbbBVlD1orqg6wha5ZckDV5Pq6SNXvAGTNJGAwGCgsLoxdeeIE8PDystvPx8aHFixdT69at6aeffqI//viD4uPjaceOHTR+/HiKi4sjDw8PiouLo8jISHrvvfcsrmf69Ol04sQJWrFihep9jIuLowoVKlhtN3z4cCGXhIQEGj9+vG58RPuGiKT7iLq88847yJoOfJA15+0bZA1ZK6oPsoasFcVFjQ+y5txZswcUZpJ4//33admyZfTnn39Sjx49KD4+nqKjowu0q1atGs2ZM4defvllOnLkCMXExFC3bt1o+fLl5O7+/ycwq1atSsnJyVSnTh2L2zt69Ci99NJLlJ6eTlOnThXax5o1a9LSpUtpx44d1L59e4qPj6cOHTqQwWCwy0ULnz59+gi5TJw4kdasWSPVR9RFCx/RvtHCB1mzDbKGrCFr9vkga8gasoasPclZs4siTUMCCrB7927u378/+/n5cYMGDTgxMZFv3rxpWu7p6ckXLlww/e7l5cWHDx8usB4vLy9OT0+3up309HT29vZmZmZFUbhy5cocExPDdevWtfgTExNj+tvff/+d//nPf3K1atW4UqVKPHbsWD516pRqFy181LrI9BF10dJH1EWmD7KGrCFryJqWPsgaslZcPsgaslZcPmqypgYUZhpx584dXrZsGTdo0IBLlChhCpSiKHz58mVTu5IlS1oMTHBwMG/cuNHq+jds2MDBwcHMzNy+fXv29vbml156if/zn/+oen7Cjh07uHnz5mwwGPjatWuqXLTwKYpLUX1EXYrLR8RFhg+yhqwha8hacfkga8hacfkga8hacfmIZk0EXMqoEbt27aKkpCRau3YtRUVF0fbt28nHx4cMBgO98cYb5OvrS0REixcvpp49e1Lp0qXN/v769et05swZ+vHHHwusm5mpadOmVK1aNVq6dCkRPX6q+rJly2jZsmV069Ytev311yk+Pp5q1Khhcf/u379PX331FSUlJdGePXuoU6dO9Pnnn5OXl5ewCxFp4qPWRZaPqMv8+fOpb9++mvmocZHhg6wha8gasoasIWvIGrKm1gdZU5c1EVCYSeTixYtmHdqzZ0+Kj4+nWrVqmdo0b96cFEWxuR5FUejTTz+levXqUY0aNWjkyJFUo0YNUhSFTpw4QfPmzaNTp07RgQMHqFq1agX+fufOnbR06VJat24d1a5dm3744QfTG3Pv3r20ZMkS+vLLL6lq1aoUHx9PPXr0IH9/f9UuxeFjy0W2j6jLtm3b6OzZs9J9RF1k+yBrhbvI9kHWkDVkDVkrDh9kDVkrLh9kzXLWVFOk823AhPEUaKdOnfjrr7/mhw8fFnmd+/fv56ioKFYUhQ0GAxsMBlYUhaOionjfvn1W/+7u3bv8+eefc8OGDdnHx8d06rdWrVpcrlw5Hjp0KB85cqRYXez1seaiNx9RF618kDVkrbh8kDVkrbh8kDVkrbh8kDVkTRY4YyYJg8FAlSpVogoVKtis4g8dOlTouvbv308NGjQw/X748GE6c+YMMTNFRERQ3bp1Lf7dzz//TElJSbRmzRqKiIigvn37UlxcHJUpU8a0jyVKlCB3d3eb+3jjxg1pLvb6FObiKJ/8LrJ8RF2uXbuGrEn2QdYsg6zJ90HWLIOsyfdB1iyDrMn3QdYsc+3atUL30RJ4wLQkJk2apKr9X3/9RW5ubmaneVNTU+m9996jDRs2UG5urun1mJgYiomJsbqu999/n5YuXWqaXnTXrl1Uu3btAu2M1zcXRkZGhrjI/5DlI+pCpJ2PGhciOT6iLkTIGrKGrOUFWRMDWUPW8oOsiYGsIWt5UZM1e8AZs2Lm999/p27dutGePXvIzc2NBg8eTP/85z9p4MCBtGrVKnrppZdo5MiRtHbtWqH1zZ8/nwwGA4WGhlLHjh3J09PTZlvZyPZZsGCB07s0atSIRowYIbROV/BB1pzXBVnTh48r9A2ypg8fV+gbZE0fPq7QN66StbygMCtmevbsSUePHqUBAwbQunXraOfOnVS3bl16+umn6b333qMqVaoQEVGLFi0KXZfxxkY1N0HKRrbPo0ePnN6FSF8+yJrtdsha4SBrtvfRFfqGSF8+yJrtdsha4SBrtvfRFfqGyDV8zLaBwkwOMTExhXYoEdHly5dpzZo19Nxzz1FWVhYFBQXRjBkzaNy4cZrvo7+/v9A+hoWFCbU7dOgQVa5cWTc+rtA3165dQ9Z04OMKfYOs6cPHFfoGWdOHjyv0DbKmDx9X6BvcY+ZgYmNjhdpNnTqVqlatSkREFStWJB8fH3rppZfs2qalGxuJiP744w9SFIUCAgLMXl+wYIHQetVc45uVlaWpjzUXIvk+MvuGSJ2PqAsRskaErOUHWSscZA1Zyw+ytkBovcgaspYfZE1DpM/zCGxiMBj4ypUrpt9tPa2cmfn27dt89+5ds9cOHz7MHTt2ZIPBYHrt+vXrPGjQIA4ICDBNBRoQEMBvv/02X79+XbqHES18XMWFWV8+yJrzujDrywdZc14XZn35IGvO68KsLx9kzXldmJ3bJy84Y1bMMDO1bNmS3N0f/9Pfu3ePXnzxxQI3Gv73v/8t9MbGXbt2EdHj06WNGjWizMxM6tGjB0VGRhIz04kTJ2jZsmW0detW2r17t8UH392/f5++/PJLunPnDrVu3ZqqV6/uUJ+iuBTVR9Tl0KFDQjeeFtXH2fqGCFmT5YOsIWvImnP0DRGyJssHWUPWkDX7+iYvuMdMEqLXLIueaj19+rTwjY3Dhg2jrVu30g8//ECBgYFm68nKyqI2bdqYAvzgwQNauHAhERE9ePCAnn32WUpLSyNfX1/KycmhLVu20KBBg4SvWZ4yZYpUH1GXhIQEGj16tFQf0b6ZNGmS8I2nsvumUaNGyJokH2QNWbMEsoasFdUHWbMNsoasPSlZswcUZpLIG3hmppkzZ9LAgQOpbNmyZu1En5+h5ibN8PBw+te//kVt27a1uK5NmzbRwIEDqWTJkjRjxgzq1KkTET1+FsPIkSPp8OHDFBoaSvHx8XTlyhVq2LChVBc1PqIuGRkZFB0drRsf0b757rvvkDVJPsgasuZsfYOsyfNB1pA1ZE29ixofZK3wrNmF9IsjATM/vt717NmzNtscOXKE165dy1999RUfOXLEbJnBYOBLly6Zfvf19eXjx49bXI+npydfuHDB6nYuXLjAXl5eXKpUKT59+rTp9ddee40HDBhg+v3w4cNcqVIlu1xk+Yi6MLOmPrZctPCx10WGD7Jm24UZWZPlg6zZdmFG1mT5IGu2XZiRNVk+yJptF2ZkTQ0G+8o5UBT27dtHtWvXppiYGOratSt16dKFYmJiqE6dOrR//35TOzc3N9P/GwwG8vb2tri+cuXK2ZzJ5ty5cxQQEEAGg4E4zwnSPXv20N/+9jfT72XKlKHr16871EfUxbgO2T6iLrJ9XKFv9OaDrMlzUeODrFl3Ma4DWZPjg6xZdzGuA1mT44OsWXcxrgNZE8Tukg7YxFqVn5aWxiVLluQGDRrwypUr+fDhw3zo0CH+4osvuH79+lyqVClOS0tjRVG4du3aHBMTwzExMezm5sZRUVGm340/zMzx8fHctGlTzs7OLrC9+/fvc7NmzTg+Pp6fffZZnjdvHjMzHzt2jA0Gg9ksNjt27OCwsDBhFy18RF2YWbqPqAszS/ex10WGD7KGrCFr2voga8gasoasMSNrsnxcNWsi4B4zjShVqhQdOXKEnnrqKbPXu3TpQrm5ubRu3boCNzgyM73yyivk4eFBUVFRQtuZNGkS/f7771S/fn3y8vKit99+m2rWrElERMePH6ePPvqIsrOz6cCBA7Rv3z7q3r07NWnShNLS0qhBgwb0zTffmNY1duxYOnfuHK1Zs0bIRQuffv36CbmEhITQunXrpPqIuqxZs0b4JlpRH3v7RoYPsoasIWvmIGtyfJA12y5a+CBryBqy5rxZEwGFmSQWLVpk9vvYsWNp9OjRVK5cObPXp02bRhs3bqT69etbXM/+/fupQ4cOdPXqVVXbP3fuHA0aNIg2b95sOsWqKAq1bt2aPvzwQ6pWrRoREf3www/03XffUcWKFWnIkCHk6+trWseUKVOoWbNm9Msvvwi5DB06lMqXLy/dR9RFto8r9E3z5s2RNWStyD7IGrJWFBc1PsgaslYUFzU+yBqyVhQXNT6iWbMHFGaSyDsdqjUURaGLFy/S6dOnKSQkxGKbCxcuUPXq1en+/fum13755Rc6deoUKYpC1atXpzp16ljdxvXr1+n06dNERFStWrUCM9mIIOqSnp5O3t7emvnIcCHStm+I9OWDrDlv3xDpywdZc96+IdKXD7LmvH1DpC8fZM15+4ao+H3sAQ+YlsS5c+eE2tWsWZP27dtnNUx79+6lsLAwInp8Y2O/fv3o+PHjZpV7VFQULVmyhBo0aFDg7/39/c2mG81L/iMR1hB1IXo8vahWPrZciOT7qOkbIrk+oi516tRB1pA1IkLWjCBrtkHWkDVrIGu2QdaQNUuoyZo9oDArZrp160YjRoygGjVqUHR0tNmyo0eP0qhRo6h37950/PhxatmyJUVGRtKKFSvMnkCekJBALVu2pD179lCtWrUoPj5eaNvLli0jRVHI0klS4+uKolBubq7DfObOnSu03aSkJKpbt65UH1EXIpLu4wp9g6wha0X1QdZsg6zJ80HWbIOsyfNB1myDrKkDlzJKYtu2bTR48GDas2cP+fn5mS27efMmNW7cmBITE6lhw4bUsmVL2rt3L7Vu3ZoiIyOJ6HFwfvjhB2rYsCFt27aNevXqJXxjo8FgoLCwMIqJibEYFCMLFiwQcjl79qyQS9OmTen+/ftSfb766ishl+TkZDp//rxUH9G+8fb2Fr7xVNRHtG/CwsKQNWStSD7IGrJmyQVZQ9aK6oOsIWuWeJKzZhcMpPDiiy/y/PnzrS5fuHAhx8bGMjNzdnY2z5o1i59++mn28fFhHx8ffvrpp3nmzJl8//59ZmYuV64c79+/3+r69u3bx+XKlWNm5rfeeov9/f356aef5oULF/Kff/5ZbC6yfWS7qPURcdGbD7LmvH2jNx9kzXn7Rm8+yJrz9o3efJA15+0bR/vYAwozSYSGhlp90jsz84kTJzgkJIRTUlL44cOHha7Py8uLf/vtN6vLf/vtN9MT1ZkfP2Nh5cqV3KpVK/b19eUuXbrwpk2b+NGjR8IO69at49q1awu7MLMmPjJc7PERdXGEj9GFGVmT6YOsWXdhRtZk+iBr1l2YkTWZPsiadRdmZE2mD7Jm3cVeUJhJwsvLi0+fPm11+enTp9nb25sNBgNfvny50PXVqFGDv/rqK6vL165dyxERERaXZWRk8OTJk/mpp57ikJAQvn37tmnZJ598wp07d+bu3bvznj17mJl569atXLduXfbx8eE33nhD2IWZNfex5SLbR9RFKx8RF2ZkTSsfZA1ZQ9aQNRk+yFrhIGtyfJC1wnFk1uwBhZkknnrqKV6/fr3V5evWreMqVaqwoihCYZo4cSKHhoby0aNHCyz75ZdfOCwsjCdOnGjxb8+fP89TpkzhKlWqcOXKlU1hmjNnDnt4eHC9evXY19eXfX19efr06RwQEMCTJ0/mq1evqnJhZs19rLlo4SPqooWPqIsWPsiabRctfJA1ZA1ZQ9aYkTVkDVnTc9bsAYWZJAYPHszR0dF87969Asvu3r3L0dHRPGTIEFYUha9cuVLo+u7du8eNGzdmNzc3bteuHQ8fPpyHDx/Obdu2ZTc3N27UqJHZtvKefvX29ubOnTvzd999x7m5uaY2NWvW5CVLljAz8/bt21lRFG7ZsiVfv37dLhdm1sRHxEULH1EXLXxEXbTwQdaQNWQNWdPCB1lD1orLB1lD1orLR03W7AGzMkri8uXL9Mwzz5CbmxsNHjyYatSoQYqi0IkTJ2jx4sWUm5tLhw4dokqVKtEbb7xh9pRwS8yfP58ePHhACQkJtGrVKjp16hQREUVERNBrr71Gw4cPJy8vLyIiGjRoEK1evZpCQ0Opb9++1LNnTwoICCiwTl9fXzp58iSFhoYSEZGXlxft3LmTnn32WbtcAgMDyWAwSPURddHCR03fEJFUH1EXrXyQNWQNWUPWiJA1ZA1ZQ9aQNVlZswcUZhI5f/48vfXWW/T999+bPcCubdu29NFHH1F4eDgZDAZq1KgReXp6Wl2Poii0bds2m9u6cOECTZo0iZKSkshgMFBoaCjFxMQUmAo0L19//TVlZWVRhQoViIioVKlSdOTIEXrqqafsciEi6T7Lli0Tclm/fj0ZDAapPrJc7PFR0zfF7YOsIWvIWtF8kDVkzZILEbImywdZQ9bscbHHR23W1IIHTEskLCyMNmzYQNevX6czZ84QM1P16tXJ39/frF1ycrKpQ+3l2rVr9Pnnn1NSUhK9/vrrNkOUl88++4xKlixJREQ5OTm0bNkyKleunFmboUOHCrvI9lHjooWPDBd7fURdiJA1GT7IGrKGrGnvg6wha8Xlg6wha8XloyZrasEZs2LGzc2NLl26VOQwHTlyhJ555hlVTxYPDw8vNHSKolB6errwOvXkI8uFSL0P+qZw9OSDrFnGGfqGSF8+yJplnKFviPTlg6xZxhn6hkhfPnrLWl5wxqyYcWQdnJGRIX2devLRkwsRfGSCrNkGPvJA1mwDH3kga7aBjzyQNXEMmq4dFGDp0qVUunRpR++GNPTkoycXIvg4M3pyIYKPM6MnFyL4ODN6ciGCjzOjJ5f84FJGB7F27VrT7DCKolD16tUpLi6OOnfuTEREr7zyis2/v3HjBqWkpKg6lTx16lSLr5cuXZpq1KhBbdq0IYPBvlpdTz6FuRDJ90HfiKMnH2TNHGfqGyJ9+SBr5jhT3xDpywdZM8eZ+oZIXz56yxoRCrNi59GjR9S9e3dau3YtRUREUM2aNYmZ6eTJk3TmzBnq0qULrVq1iuLj44XWt3TpUuFtx8TEWHz9xo0blJmZSVFRUfT999+rumZXTz6iLoqiUN++faX6oG8KR08+yJocFyL4yHJB1goHPnJckLXCgY8cF1fJmhlFeQgaUEdKSgr/85//5LJly/I333xTYPl//vMfLlu2LCckJBT7vl28eJGbN2/O/fr1E2qfkpLCN27c4Hnz5unGRy99w6wvH2St+EDWkLXiAllD1ooLZA1ZKy7syVp+UJgVI4qisJubG3ft2tVqm88++4yjo6Olb9v4xrTFrl27uEqVKkLrUxSFy5Yty5UqVTI9Ad0SWviIuDCr99FL3zDrywdZkweyZhtkTR7Imm2QNXkga7ZB1uShRdbyg8KsGMnIyGBPT09+6623bLbx9vaWvm3jG3Pu3LlW25w7d45LlCghtL6MjAzevn07u7u78/nz5222k+0j4sKs3kcvfcOsLx9kTR7Imm2QNXkga7ZB1uSBrNkGWZOHFlnLD2ZlLEbCwsKoRIkSNHDgQKttbt26RT4+PtK3fe7cOVq3bh398ccfVtscOXLE9IT4wggLC6PmzZtTqVKl6MaNG1bbaeEj4kKk3kcvfUOkLx9kTR7Imm2QNXkga7ZB1uSBrNkGWZOHFlnLD55jpgHnz5+nrKwsUhSFAgMDKSwszLSsUaNGlJiYSImJiRb/dvHixdSoUSPp+xQWFkb+/v70zDPP0K1bt8yW3bx5k/bv308jR46k/v37C7sQOcYnLCyMwsLCLLoQ2e/jan1DpC8fZE1bFyJkTcSFCFmTAbJWuAsRsiYDZK1wFyJkTQZFyZowdp9rAwWYP38+BwcHs8FgYEVRWFEUNhgMHBwcbLoJ8aeffmIPDw/u0qUL7927l2/evMk3btzgn3/+mTt37sweHh68a9cuu/chIyOD9+zZw3v37uWMjAyzZcb9sfTj5ubGgwYN4gcPHgi7aO1jy0ULH1fpG735IGvO2zd680HWnLdv9OaDrDlv3+jNB1lz3r6xBxRmkpg6dSr7+fnxrFmz+PDhw3zx4kXOzMzkw4cP86xZs7h06dI8bdo0ZmZev349lytXrkCHBgQE8FdffSW8zbw3IYoEeceOHRZ/Dh06xLdv37bLRQsf0Q8ZLXxkuaj1EXVxlA+yhqwha8iaWh9kDVlD1sxdmJG1Jylr9oDCTBLBwcGcnJxsdfn69es5KCjI9PudO3d4/fr1PHv2bJ49ezYnJyfznTt3VG3TeBNi27ZtVb0xZbvI9PHx8WFvb29pLvb4yHDRmw+ypo0PsmbZBVmT74OsWXZB1uT7IGuWXZA1+T7OnjV7QGEmCR8fHz5+/LjV5ceOHWMfHx+p2zTOtFOqVCmhIN+5c4cHDRrEQUFBXL58ee7evTtfvXq1QHtHuDA/9ilfvjy/8sorVtvkfVPqyUfUhRlZkwGyhqzlxxn6hhlZswayVjjIGrKWH2foG+YnN2v2gMJMEs2aNeMePXrww4cPCyx7+PAhx8XFcbNmzXjr1q0cGRnJN2/eLNDuxo0bXKtWLd65c6eqbYsGedSoUezr68sDBgzgIUOGcLly5bhz5852uzCzdB81b0rZPq7QN3rzQdact2/05oOsOW/f6M0HWXPevtGbD7LmvH1jLyjMJPHLL79wxYoV2d/fn2NjY/nNN9/kgQMHcmxsrOnBfseOHeMXX3yR58+fb3U9Cxcu5NjYWLPXCrupUjTITz31FK9atcq0bO/evezu7s45OTl2uTCzdB81HzKyfexxkeUj6qK1D7JW0IUZWUPWiuaDrNl20doHWSvowoysIWtF80HWbLvYCwozidy6dYs/+ugjfv3117lNmzbcpk0bfv311zkxMdFU1YeGhtqsyE+cOMEhISHMLD7TjmiQPTw8+Pfffzfbnre3N//22292uWjho+ZDRraPGhfZPmpctPBB1pA1ZA1Zk+2DrCFr1lxk+yBryJo1F9k+arOmFhRmxYyXlxefPn3a6vLTp0+zt7e36pl2RIJsMBj4ypUrZtsrWbIkp6enO5WP6IeMbB9RF2Z1MwfpqW/05oOsFd1FjQ+yhqw5Y9/ozQdZK7qLGh9kDVkrat/kBYVZMfPUU0/x+vXrrS5ft24dV6lSxa6ZdgpDURTu0KEDv/zyy6Yfd3d3btOmjdlratCTj6gLs30zIRWnC7O++oZZXz7ImmWcoW+Y9eWDrFnGGfqGWV8+yJplnKFvmPXlo7esma2fmbmID8IGArRq1YrS09PphRdeoB07dtD+/fvJ29vbrM29e/eoYcOG1KJFC/rss8/o4MGDFBkZaXF9aWlp1KBBA7p7967wPvTt21eo3dKlS20uN7qkp6fTkCFDdOMj2jeLFi0iX19fqT6yXIiQNVfwQdact2+QNWTNGsiaZZA15+8bZM05s2YJFGbFxOLFi+mPP/6ggQMH0jPPPENubm40ePBgqlGjBimKQidOnKDFixdTbm4uHTp0iLp160bBwcG0bNkycnd3N1tXTk4O9e7dmzIzM2nHjh2FbjvvG1Omy6RJk+jy5cvF6iPbJa+PaN8EBgZS8+bNdeODrBWPS14fZA1Z09Ilrw+yhqxp6ZLXB1lD1rR0yeujl6xZxO5zbcBuMjIyuH379gVuQmzfvj2fO3eOmdXdVFkYH374IU+ePFkXPs7gojcfZM15XfTmg6w5r4vefJA153XRmw+y5rwuruRjBGfMHMj169fpzJkzxMxUvXp18vf3N1t++/ZtWrFiBe3Zs4eysrKIiKhixYrUqFEjiouLIz8/v2LfZ2YmRVEsLnNFH2sU5kKkLx9XciHSlw+y5liXc+fOUUhISIEjqUZczccWrpi1nJycJ6JviFzTx9qYwBWzZgtX7Btb6MlHb1nDGTNJdOzYkf/973/z3bt3Hb0rReb+/fs8YsQIbtq0Kb///vvMzDxt2jQuUaIE+/r6cvfu3S0+1E9rHj16ZPffpqamcq9evbhKlSrs7e3NJUqU4OjoaJ4wYYJDXIrKvn37OC4ujsPDw9nb25t9fHw4PDyc4+LieP/+/Y7ePWmcOXOGW7Ro4ejdUMXFixd5+fLl/N1333F2drbZsr/++ounTJnioD2zj82bN/PEiRN569atzMyckpLC7dq14xYtWnBSUpKD967oeHh42Jx2WUvS09MtPjNHhPzZOnPmDL/zzjvcoUMH7tevHx84cEDGLhYbGzdu5F9++YWZmXNzc3natGkcFBTEBoOBK1euzDNnzizSd4A92Ns3ehoPMGNM4Ow8KeMBZtccE6gFhZkkFEVhd3d3Ll26NA8cOLBYvxRlfwkMHz6cg4KCeOTIkRwZGclvv/02h4aG8ooVK3jlypVcrVo1HjJkiJRt5UeLL4BNmzaxj48Px8bGcvfu3dnX15cHDx7MY8eO5WrVqnHVqlX50qVLWugws/wvgOTkZPbw8OB27dpxQkICr1y5kr/44gtOSEjg9u3bs6enJ3/99dcamDymOL8EUlNT2WAwSF2nKPZ8Aezbt4/LlCnDfn5+7OPjw9WrVze7RCIrK0tTH9lF4fLly9nd3Z2feeYZLlmyJC9dupTLlCnD/fv35379+rGnpyevXbtWpoIZMovCvLNl5f0xGAzcqlWrIs+kZQ9FKQoNBgNfvnyZmZkPHz7Mvr6+XLduXR4wYAA3aNCAPT09ee/evTJ314QWRWGtWrX4p59+YmbmGTNmcEBAAM+fP583btzICxYs4MDAQJ41a5aU/c+P7KJQT+MBZowJZCNzTPAkjQeYXW9MYA8ozCShKAqnpaVxQkIC165dmw0GA9epU4c/+OADvnbtmvTttWzZ0jQVqOwvgZCQEN6yZQszM589e5YNBoPZG3vz5s0cFhZWpG3kx+ijxRdA3bp1OTEx0Wz/a9asyczMDx484JYtW3KfPn008dHiCyAqKopnzpxpdfmsWbO4Vq1aRVUwkTdrsr8EFi5caPNnzJgx0j+E8/rYwp4vgFatWnF8fDzn5ubyrVu3eNCgQRwQEMCHDh1iZm0KM6OPFkVh3bp1eeHChczM/MMPP7CPjw/Pnz/ftHzevHn83HPPyRFh876RXRQqisLNmjXjPn36mP0YDAaOjY01/S4To48WRaGiKKbCrGPHjty5c2ez4qFv377crl07TXy0KArzPqA1Ojqav/zyS7Pl3377LVerVk2OCJtnTXZRWNzjgbw+WhSFGBPIcWGWXxQW93iA+f99tCgK9TYmsAcUZpLI+yXJzLx3715+4403uHTp0uzj48Pdu3c3HfWVQd6bEGV+CaSkpLCPjw+fP3/e9JqHh4fZAO/cuXPs6+srR+R/GH1kfwGkpKSwt7e32Y2gjx49Yg8PD7548SIzM+/cuZPLly8vxcOI0UfmF0BKSgrfuHGDvby8+Ndff7Xa7uTJk+zl5VU0gTzkzZrML4GUlBRWFIWDgoI4PDzc4o/xqLVMjD6yvwBSUlK4TJkyBfpm9uzZ7O/vz/v27dOkMDP6yCwKjVkrUaKE2UMzPTw8+MiRI6bfT548yQEBAdJdmOUWhSkpKbxkyRIODg4ucKbN3d2d09LSJBmYY/SRXRQa3zvG75zg4GDetWuXWZvU1FQODAzUzEdWUWjMWqVKlfjnn39mZubAwEBTbo2cOnWKfXx8JJmYZ01mUZi/b5i1Hw8wm/eNzKJQT2MCY9aKe0yQ/3NN5piguMcDzP/vI7so1NOYwJg1e0BhJon8H8RG7t69y0uXLuXnn39es0pb5peAcVabnj17MvPj09Senp5mg5nVq1dz9erV5Ur8D9lfAEafAQMGmF47ffo0u7m5mS7HSU9Pl/qFnxeZXwCKonDZsmU5MDCQZ8+ebbXd7NmzOTIyskj7bQ2ZXwL5s2aJw4cPa/q+kfkFYJwVasSIEQWWzZkzh8uUKcPr16/XzMff319aUWjMmo+PD588edL0esmSJfns2bOm39PT06UPyIzILAqNPuPHj+fnn3+eX3nlFdMgVcvCzMiqVaukFoWKojARmQZ7YWFhpkvxjKSnp7O3t7f9O13I9mUVhca+ady4MXfs2JFzcnL4jTfe4P79+5sVe0OHDuVGjRrJk8iDzKLQ2DeTJk0qsMzVxgPG9ellTGDMWkBAAG/atMn0uiuPCdzc3PiFF16w2sZVxgPM+hoTGLM2d+5c1fuBwkwS1gqzvJw6dUpoXWorbZlFYUZGBr/99tvs7u7OrVq1Yn9/f/7ggw+4YsWKPGbMGB43bhyXLl2ap06dKrx/hfnk/fKtUaMGr169mpnlfAFkZGRwnz59uFSpUpyYmMhJSUkcHR1tdtnQ+vXrVZ3lUdM3VatWlfYFkJGRwdu3b+fY2Fh2d3fnDh068IIFC3jVqlW8evVqXrBgAb/wwgvs4eHB69at08SnVq1a0orCjIwMbtq0KT/77LNW26SmprKiKML7p8YnPDy8wJHxvKj9AsjIyOA6depw27ZtLS5///332cvLS7Mjbv7+/maFixF7ikJj1ipWrGh2dPrmzZtm79ctW7ZwRESE0DrV+pQpU0ZaUWj0GTduHOfm5vLEiRM5JCSEN23axB4eHnYVR7Z8LE3qkZGRIa0ozMjIYEVR2MvLi/39/dnDw4O/+OILszbff/89h4eHF9nFEgaDga9cucLMRS8KjX0zbNgwrl+/PlerVo179erF3t7eHBYWxq1bt+YqVaqwn58f79mzp8g+lib0GDRokLSi0Ng3hV1eJzoeYFbXP7IPEsseE4i4aDUmMGbt+eef5+DgYF2MCSZPnswGg0HKeECtj8zxALP8MYHavpE5Jsj7naMWFGaSaN68OV+/fl3KuhRFYQ8PD+7evbvQDbwyi0IjK1as4MGDB5s+ELdv385NmjThevXq8eTJkzk3N1d4XYqisL+/Pzdt2rTQG3gTEhLY29tbWlHI/PiLeMyYMRwUFMQBAQEcFxfHV69eNS3fu3cvp6SkCLsYj4KI3MA7ZcoUaV8Aedm9ezd369aNQ0ND2dPTkz09PTk0NJS7devGu3fvFl6P0Wfo0KFCN/B+9dVX0opCZua0tDSbNwg/ePCAMzIyVPvYOkplvIH31Vdf5TFjxlhtp7YoZGb+9NNPbR7tmz17tvBgOa+LyKQeTZo0MbtEJi9qi0Ij69evt/nemDlzJk+YMEFoXUafN954Q2hCj/r160srCi2xa9cu0/1S9p61spY1a5N6yCoKmZmXLVtm9pO/aJkyZQoPHz5clUv++6isTeqhKAqXKVNGSlGYlwcPHnBiYiJ36NCBa9asyREREdysWTMeP348X7hwQXg9iqJwyZIleeTIkcxc+IQeN27ckFYUMssdDxh9RMcEWowHmOWNCfJmTWRSD1cZE4wYMUJoQg8txgSyxgN5fUTGBLLHA8xyxwSiZ620HBPYAwozJ8R4xM1gMAjdwGvPl0BGRgbv2bOH9+7dq2rgaw8ZGRncuXNn0xdlYTfw2vMFUFw+xqMgXbt2FbqB154vgOLum2nTprHBYBC+gVftl0Bx+xR2lMp4A6+9XwDFnbXevXsLTephT1FY3H0zfvx4NhgMQhN62FMUqvW5ffs2p6amFih2RX2aNGnCERERqif1EC0KiztreQf1tib1sKcoLO6shYWFmd4PIhN6qC0Ki9tHdExgb1FY3Flr0KCB8KQeascExd03s2fPZnd3d6EJPfQ2JrCnKCzurBV21qooYwItXFCYaUBOTg5nZWXx5cuXOScnx651aDWr0/z58zk4OLjAk9KDg4M5ISFBExdm7WZ1cpSPFrM6qXWRhVazOjnKR6tZnRzlo8VMj45y0WqWR0f5FGVSD1tFoSN9ZM/06CgXrWZ5dGTfOMOYQBZajAkc+bmmxSyPGBPIQYsxgZYuKMwksn79em7cuDF7enqywWBgg8HAnp6e3LhxY05OTi7Q3lalbe8NvLYKj6lTp7Kfnx/PmjWLDx8+zBcvXuTMzEw+fPgwz5o1i0uXLs3Tpk2zy6UwH3tu4C2siNLSp7CjIPbcwCurbwrj+PHjBaZ+teWjxaxOsnwsuRTmo8WsTlr6FJY1mZN6yHSxx0eLWR4dmTXZk3po7VNY1mTP9OjIrGkxy6OjP9dkz/ToyKzJnujLkVnTYpZHNT6pqak8bdo0Xrx4sdnZN+bHl4D37du3wPqdeUyg1kfkc03mmEBm1iyBwkwSH3/8MXt6evLAgQM5OTmZd+/ezT/99BMnJyfzwIED2cvLiz/55BNmFqu01d7AK1J4BAcHWy2qjOsICgpS5SLqo+YGXtEiSgsf0aMgam7gldk3IuR91oaIj8wbeI1faLJ88j83RMRH1g28eb+ctfARzZqsST1k9409PjIn9HCGrDHLmdTDWbIma1IPZ8iazAk9nCFrsib1cJasyZrUwxmyJnNCD7U+33//PXt6enJUVBSHhoZyuXLleNu2baZ2+Q/cyR4TiBZRWviIZk3NmEDER2bWLOFOQApz5syhjz76iPr161dgWWxsLDVo0ICmT59OWVlZNHfuXBo/fjy1bduWAgMDiZnpypUr9P3339PkyZPpr7/+srodHx8f6tOnD/Xp04dOnz5NRET/+te/aOjQoRQfH0+jR48usM7XXnuNPvjgA/rzzz+pRo0aVtcdERFB169fF3YZMGAATZs2Tchn4MCB1KdPH/rss8/o4MGDNG/ePBo/fjydPHmSDAYDJSYm0siRI4VdBgwYIN1HtG8mTJhAr7/+OvXv35/effdd8vLyovnz51OnTp3I09OTiIhSU1OpSpUq0vuGiGjEiBFW2xERXb16lYhIuG+mTp1Kr732GqWkpFCbNm0oMDCQFEWhrKws2rJlC23evJlWr15tc5tGHjx4QOfPnycvLy8hH1EXNT716tWjgwcPUteuXS2uU1EUYmZhFyIS7h/ZfTNhwgSKjo6m3bt3U506dczWNWrUKGJm6t69e6EueX1E+4ZIftaqVatGJ0+eNG0/MzOTSpUqZVrf2bNnKTg4WBMfLbI2YcIECgsLo5SUFJoyZQo9/fTT9Omnn5KiKEIO+V2IHJs1ZqaIiAhSFIX++usvOnr0KNWuXdu0ztOnT1PFihWFfRyZtRkzZlCrVq2oZs2a1KhRI1q7di1t2bKFIiIi6MyZM/Tnn3/S5s2bC3Wxx0eLrFnD0phAxIXIsVkTHROI+jgya6LjARHU+kyePJlGjRpF06dPJ2amuXPnUqdOnWjt2rXUrl07s7+RPSbYvHkzvfjii1S9enW6ffs2TZo0idasWUMtWrQgIqJ79+7R559/TklJScJZE/VRkzXRMYGoj5qs2YPCIiMUUCg+Pj6UmppqtbNOnjxJMTExVK5cOfrggw8oNjbWYrvk5GQaPHgwRUREUHJyMpUpU6bQbVerVo3+8Y9/WCw8iIiSkpJo+vTpFBISQsHBwbRs2TJydzevyXNycqh3796UmZlJe/fuFXK5d+8ehYSECPlkZmbSF198QXv27KHnn3+eunXrRjt27KCJEyfS3bt36cUXX6T33nuPIiIihFzOnj1LzZs3l+oj2jeZmZmUk5ND7777Lq1YsYKys7Opbdu2tHDhQipXrhwREe3bt4/u379P8fHxUvtmx44d5ObmRnXr1iU/Pz+L6/zrr7/o0KFDFBQUJOzz888/08KFC+nnn3+mrKwsIiKqWLEiNWrUiN555x1q1KgREYl9oa1cuZKaNGki5PPjjz8KueTm5gpnbcuWLXT37l2qX7++xXYPHz6kixcv0sKFC4VccnNzhbMm6qOmbz777DNKSUmh5cuXW2z7/vvvU2JiIr388stCPqJ9o0XWPvzwQwoICKCmTZtabDdr1iy6c+cOTZs2zSWylpmZafb6Tz/9RL169aLz58/T0aNHqVatWkQk/r5xdNY+//xzs2U1a9akZ5991vT71KlT6caNGzZd8vo4MmuZmZn08OFDWrJkCX3zzTeUnp5Ojx49okqVKtFzzz1Hb731lukggCtkTXRM4CpZIyKhMcGoUaOEfByZtfPnzwuNB5o2bSo9a4cPH6ZDhw5R1apVTctXrVpFAwYMoFWrVlHDhg0pKChI9eeayJigcePG1KJFC7MiaurUqaYi6vLly6Zti2ZN1EdN1o4fPy40JujevbuQj5qs2QMKM0nUr1+fmjVrRvPmzbO4fOTIkZSSkkLHjx+ngwcPUmRkpMV2aWlp1KBBA7p7967wtkWLwn379lGbNm0oOzubmjVrZnYUZOfOneTl5UVbtmyh3r17C7kcOHCAfH19pfqIuty7d4+OHj0q1ccV+iYqKopq1qxJEyZMoJ49e1pcZ2pqKtWrV4+8vLyk+4h+oaWmpgr5vPrqq0Iuubm50rMm6pKbmyucNVEfV+gbZM0+n7/++ovOnj1LkZGRpiPmyBqyZskFn2vyfJ7UrLVo0YI2btxI9erVM1vPl19+SfHx8TRv3jx6++23Ncla6dKlhYtC0ayJ+mjRN6I+arJmF3ZfBAnM2LFjB5coUYJr1arFw4YN45kzZ/KsWbN42LBhHBUVxSVLluSdO3dys2bNuEePHhYfcvnw4UOOi4vjZs2amb1e2CQY9erV4xEjRljdtxEjRnC9evWYmfnWrVv80Ucf8euvv85t2rThNm3a8Ouvv86JiYmmZ22IujCzdB81LrJ97HGR6SPiwswcFxfHw4YNs7pO47M27PWxRY0aNXj58uVWl+e9VlvER9SF2b6syXKR7eMKfaM3H2TNeftGbz7ImvP2jd58WrduzXPmzLG4rpUrV7KHh4dpfbJ9ypcvb/GxDatXr2ZfX19OTExUnTVRHy36Ro2PaNbsAWfMJJKRkUGJiYm0Z8+eAqd+Bw4cSOHh4cJHDaKioig5OZnmzp1LBw4coJycHCIicnd3p/r169Po0aNNp3BTUlLohRdeoLCwMIvXA58/f542bNhATZo0kepCRNJ9tHDRom+IyGE+WVlZlJ2dTWFhYTbbqfWxxokTJ+iFF16g9PR06tGjB1WoUIESEhIstj1y5AjFxMTQo0ePpLpo4dOoUSOpLmp8ZLnozQdZc96+0ZsPsua8faM3Hy2zlpycTDt37rS6vlWrVtEnn3xC27dvV+Vz5MgR+uabb6hs2bLUtWtX02WZRES3bt2iYcOG0e+//05t2rSxeLnpqlWrqHfv3pSbm0u5ublCLmp8Fi1apKpvHOVjDyjMHMDt27dpxYoVFouEuLg48vPzM5s0wtKNjUuXLjVNgkEkXki5go+zuxCR7nxsceTIEXrmmWcoNzdX1YBDC2T6ZGZmurwLkb58kDVtQNYKgqxpA7JWEFfLWv5JMO7evWs2CYbxXquvvvpKuCh0lAsRuYyPERRmGnD+/HnKysoiRVEoMDDQrjeg6IQeZ8+eLerummjVqhWlp6dTenq66TUZLkTwKSqWXIjk+Ki5WVwWWvYNfIoGsiYOfIoGsiYOfIoGsiaOmkk9ZKEnH2tZEwXT5UskISGB5s+fTxcvXjRNx60oCgUFBdHIkSNp2LBhwuvKzMyk559/3uryxo0b08WLFwu8XpQgv/zyy/THH39Id7HXp6hvSj355HWR7bNw4cJCb0a2hLNmzR4fZ85acfsga+Iga8iaNR9X7xu9+SBr4qSlpZlmAVYUhUaPHk3BwcHUuXNn0yQYMl305pM/a6op0h1qwISsJ4G3bNmSq1SponoSDNEH7RWni70+Ml1k+hhdmNVN6uHsPmpvFnf2rKnxcfa+YVZ3s7iz+yBrzts3zMgasqatD7LG0n20yJqaSTCcvW+Y1U3qIdvHHlCYSULWk8A//PBDnjx5sqqZEWW+MWW62OMjy+XRo0fSfYwuzOIzPcruGy181Mwg5gpZE/Vxhb5hFp9BzBV8kDX7XdLT081mIEPWbPsUZ9byzwzn6lnLj6tnLe94QAsfvX2uic6M6CpZc6SPPaAwk4SPjw8fP37c6vJjx46xj4+PqnWeO3eOx4wZw02bNuWIiAiOiIjgpk2b8tixY/ncuXOmdqJB7tixI//73//mu3fvFrsLs5iPmjfl/fv3ecSIEdy0aVN+//33mZl52rRpXKJECfb19eXu3bvzzZs3XcYnNTWVe/XqxVWqVGFvb28uUaIER0dH84QJE8ymX5Xtc+nSJc7IyBBqq8Zn3759HBcXx+Hh4ezt7c0+Pj4cHh7OcXFxvH//fk1cmMV9ZH6hnTlzhlu0aOEyPhcvXuTly5fzd999x9nZ2Wbt/vrrL54yZQozu07WNm/ezBMnTuStW7cyM3NKSgq3a9eOW7RowUlJSczs+lnz8PAw239X8MmfrTNnzvA777zDHTp04H79+pkdxXaFrG3cuJF/+eUXZmbOzc3ladOmcVBQEBsMBq5cuTLPnDmTHz165BJ9w8wOHRPI9hEdD2jho9XnmsiYQIu+Wb9+vc1Cc+XKldy8eXPVn2uOGhNo5WMN43jAXlCYSUKLZyqIIhpkRVHY3d2dS5cuzQMHDrR4apdZnkv+o1QiqHlTDh8+nIOCgnjkyJEcGRnJb7/9NoeGhvKKFSt45cqVXK1aNR4yZIhL9M2mTZvYx8eHY2NjuXv37uzr68uDBw/msWPHcrVq1bhq1ap86dIlZnaNrCUnJ7OHhwe3a9eOExISeOXKlfzFF19wQkICt2/fnj09Pfnrr792CRcRUlNTNXu2iiiiPvv27eMyZcqwn58f+/j4cPXq1fnYsWOmdllZWZo990YNoj7Lly9nd3d3fuaZZ7hkyZK8dOlSLlOmDPfv35/79evHnp6evHbtWiku+c9ayXZhZn755Zct/hgMBm7VqpXpd1foG4PBwJcvX2bmx5dz+fr6ct26dXnAgAHcoEED9vT05L179zJz0bNmT7+o9alVqxb/9NNPzMw8Y8YMDggI4Pnz5/PGjRt5wYIFHBgYyLNmzXKJvmHmYh0T2DMeYBb3ER0PyPKxF9ljAldwYeYnakxgHA/YC2ZllITo8yHGjRtHXbt2pc6dO5OPj4/Qugu7CbF58+YUHBxMy5YtI3d38/lccnJyqHfv3pSZmUk7d+6kY8eO0ebNmykpKYnS0tIoOjqaBgwYQD169CB/f39VLlFRUZSdnU3jx4+nAwcOUMeOHWn06NH0z3/+k2bNmkXMTC+99BJ9/PHHZjfF2vIRddmxYweFhoZSUlKSaQac6tWr0/r16+mll14iIqItW7bQgAED6JtvvlH17I558+bRrl276NKlS+Tm5kZVqlSh2NhYGj16tMWbe2X43Lx5k958800aOHCgad+HDh1KJ06coIcPH1L79u0pJCSEli5dqqp/9u/fTwsWLKDdu3eb7WPjxo1p+PDhVL9+fU2y9scff1DPnj1p3LhxBf69iIhmz55N//73v2n16tXSnntz9uxZGjBgAG3btk1q3+zYsYMWLVpkc9uZmZk0d+5cSk1NFfa5dOkSbd26lcqWLUutWrUiT09P0/ru3LlD8+bNo4kTJ5ptR4aPh4cHhYaG0qeffkp37tyhcePG0ZdffklbtmyhmJgYsxmq1GRty5YttGvXLmrWrBn9/e9/p507d9LMmTMpOzubevXqRX379hV2UeNz8+ZN6tu3Lw0dOpS2bt1KL774Ik2fPp2GDx9ORETz58+n9evXU2JiYpGz5unpSUeOHKHIyMgCy2RlzWAwUNOmTalKlSpm7f79739Tp06dqEyZMkT0eCY4EZ/q1aubZevs2bP0wQcf0OnTp6lSpUr01ltvUb169TTx2blzJ2VlZVGFChXoxRdfJG9vb1qzZg0pikJERPHx8XTp0iXauHGjcNYuXLhAlStXptq1a9OjR49oxowZlJiYSFlZWVSpUiUaPHgwjR071rSNwlzU+Ozdu5dOnTpFISEhVLt2bXrvvfeoa9euprbfffcdDRs2jNavXy+ctRdffFHqmEBt1mSOCapVq6Z6PCDLJz09XWg8kJGRofp5XmrGBDI/10TGBKKfA8bPNZljAjVZi46OLtYxgaXxgCyfV155xea2jeMBu2d5tLukAwUQeRK46BEqZvGbEH/55ReuWLEi+/v7c2xsLL/55ps8cOBAjo2N5bJly3KlSpX42LFjrCiK6eglM/PevXv5jTfe4NKlS7OPjw93797ddCmQ6FPN1RylEvERdWF+fHTj/Pnzpn3x8PAwO/J/7tw59vX1FfZRc9ZKto+3t7fZ5amPHj1iDw8PvnjxIjMz79y5k8uXL68qa6JHqLTImpeXF//6669Ws33y5En28vJSlbXCyHuUSnbWFEXhoKAgDg8Pt/hjvJxJ1EfNWSvZPv7+/gX6Zvbs2ezv78/79u0rsG0RH9GzVqIuanxKlCjB6enppr/z8PDgI0eOmGUtICBAVdZEz1ppkbVVq1ZxcHCw6RJMI+7u7pyWlmb2moiPmrNWsn3yfucEBwfzrl27zPY/NTWVAwMDVfmInrXSImuVKlXin3/+mZmZAwMD+dChQ2Y+p06dMh1RF82a7DGB2s81mWMCNeMB2T5qxgOiPmrGBLKzpmZMIJo12WMCNVkr7jFB/rNWsj/XRMcD9oDCrJhRFIXT0tI4ISGBa9euzQaDgevUqcMffPABX7t2zdRO7U2IokVh3g9hI3fv3uWlS5fy888/rzpMISEhvGXLFmZmPnv2LBsMBtMbm/nxvR9hYWGqfETflDVq1ODVq1cz8+OBrqenp9lgZvXq1Vy9enVhl7p163JiYqLZvtesWZOZmR88eMAtW7bkPn36MLO6/hHxqVq1Km/atMm07dOnT7Obm5vpHo309HTV11VHRUXxzJkzrS6fNWsW16pVS5Os1apVi2fPnm1127Nnz+bIyEhVPgsXLrT5M2bMGNU38IpmLTw8nL/88kur+5Z/1q3CaNWqFcfHx3Nubi7funWLBw0axAEBAaaBXt7iSLaPv7+/WeFiZM6cOVymTBlev3696s+BunXr8sKFC5mZ+YcffmAfHx+eP3++afm8efP4ueee0yRrZcqU4ZMnT5r+pmTJknz27FnT7+np6WYDMhEUReFmzZpxnz59zH4MBgPHxsaaftcia8zMGRkZ/Pzzz/Mrr7xi+l6wVJiJuhg/9zt27MidO3c2u6ysb9++3K5dO2aWnzWDwcBXrlxhZuawsDDT/VlG0tPT2dvbW5WPt7c3//bbb8zMHB0dXeB9+e2333K1atU0ydqgQYO4Y8eOnJOTw2+88Qb379/f7N9y6NCh3KhRI1U+WowJ1BSFMscEouMBLXxkjweYxccEWmTNVcYEolmTPSYQHQ8wy8+a7PFAflCYFTOiR6hkTkxgbduWOHXqlKp1ih6l0sInISGBvb29uVWrVuzv788ffPABV6xYkceMGcPjxo3j0qVL89SpU4XXp+YIlWyfKVOmcHBwMCcmJnJSUhJHR0ebjsgb11erVi3h9TGLH6HSom+++uordnd35w4dOvCCBQt41apVvHr1al6wYAG/8MIL7OHhwevWrVO1TtGjVFr4vPrqqzxmzBiry/POuiWCmrNWsn2aNGliNtjIy/vvv89eXl6qv1REz1pp0Tf169c3G/zdvHnTbLC8ZcsWjoiIULVO0bNWWvgYyc3N5YkTJ3JISAhv2rSJPTw8ilyYFXbWSraPoihcpkwZ9vf3Zw8PD/7iiy/Mln///fccHh4uvD5mFj5rpUXf3Lhxg+vXr8/VqlXjXr16sbe3N4eFhXHr1q25SpUq7Ofnx3v27FG1Tj2NCdSctZLtI3s8wCw+JtCibzAmsI2as1ayfWSPB/KDwkwiixcv5pYtW3KXLl1Mp/+NXL16latUqSJ8hEqLmWmaN2/O169fl+bCLH6USquZEVesWMGDBw827cP27du5SZMmXK9ePZ48eTLn5uYK+6g5QiXb5+HDhzxmzBgOCgrigIAAjouL46tXr5qW7927l1NSUky/i/iIHqHSqm92797N3bp149DQUPb09GRPT08ODQ3lbt268e7du1W5MIsfpdLCJy0tzTRrlCUePHhgmpVLxEfNWSvZPp9++in37NnT6vLZs2ebDZZFfETPWmk141be90Z+Zs6cyRMmTBB2MSJy1kqr905edu3axVWqVGGDwVCgMBPxUXPWSrbPsmXLzH7yFy1Tpkzh4cOHq/IRPWulVd88ePCAExMTuUOHDlyzZk2OiIjgZs2a8fjx4/nChQuqXJjFz1q5wphAzVkrLXxExwOiPqJjAi1c1IwJRLOmpzGBmrNWsn3UjAfsAYWZJBYuXMi+vr789ttvc8+ePdnLy4tnzJhhWm48Ai56hErtzDRqBhyyXJjFj1Kp8ZHposZHzREqV/ARPULlKlkTPUrlCn2j5qyVK/iInrVylawZKeysVXH1ze3btzk1NdVs+nk13zmiZ61cIWuiZ61cJWtajAkc1Tdqzlq5go/omMBVsqbFmMBRfaPmrJUjfewBhZkkatWqZfaFt3v3bq5QoQK/9957zPz/YRI9QqXmpkp7Bhw5OTmclZXFly9f5pycHLtcjIgcpRL1scdFlo+aI1Ra+thyUds/IkeotM6aLdS4iB6l0jprMnzUnLVyBR/Rs1aukrX8WDtr5Qp9o+aslSv4MIudtXKVrMkeEzi6b0TPWrmCj+iYwFWyZlwua0zgyL5Rc9bKkT72gMJMEj4+PmbXIjM/Pj0aGBjI48aNs6tD1dxUKfrGXL9+PTdu3Jg9PT3ZYDCwwWBgT09Pbty4sekaXC1cRH3UfsjoyUfERSsfLbJmi+PHj3OVKlVcpm+eJB+jCzOylhdLZ61EfZA12y7MyJosH2TNtgszsibLR61LamoqT5s2jRcvXmxW4DI/vsqib9++LuMj4mIvKMwkERISwjt37izwelpaGgcGBnKvXr1UnxkRRTTIH3/8MXt6evLAgQM5OTmZd+/ezT/99BMnJyfzwIED2cvLiz/55BO7XGT5qHlTaunjrH3DbF/WZCHrQ9M4la0eXJj15ZN3mmE9+ejBhVlfPsiafJA1yyBr8lHj8v3337OnpydHRUVxaGgolytXjrdt22b6O2NbV/ARdbEX98KfdAZEeP7552ndunXUpEkTs9dr1apFW7dupRYtWpheS05Oprlz59KBAwcoJyeHiIjc3d2pfv36NHr0aIqNjVW17XLlytGFCxcoPDzc9FpUVBRt27aN/v73v1NmZiYREc2ZM4c++ugj6tevX4F1xMbGUoMGDWj69OmqXGT7iLpo5ePsfTNgwADV/WONEydO0AsvvEDp6enSfUaMGGFzPVevXiUide+bwlDroyZrxe3jDH1DpC8fZE2OCxGyZg1kTa4LEbJmDXv75siRI/TNN99Q2bJlqWvXrlSuXDnTslu3btGwYcMoKSlJqgsR0eTJk2nUqFE0ffp0YmaaO3cuderUidauXUvt2rUztVPjI9NFjY+oi93YXdIBM44cOVJgauW8HDt2jCdPnqzqzIjoTYjdu3fnd955x+p2y5cvzwaDgb29vc1mTsvPiRMn2NvbW9iFWfyslaiPqAszS/dR4yLbR9SFWTxrhZH3CKLsrBkMBn7mmWe4efPmFn/q16/PBoNBmos9PmqyVtw++R+OKdNH1IUZWZPlg6wha/a42OODrCFr1lzUnOmRnTU/Pz8+c+aMWZuVK1dyiRIl+L///a9p26I+as9ayfQRdbEXFGbFTNWqVfmzzz6zunzJkiX81FNPqboJUTTI9erV4xEjRlhtN2LECK5Xr55DfdR8yMj2EXVhFr+B15F9M3z4cJs/PXv2ZIPBoEnWatSowcuXL7fazp4HMMr2UZM12T6iLszys+YKfcOMrMnyQdaQNUsuzMiaLB9XyVqjRo14/PjxzPz4mWzvv/8+lyxZkjdu3Gi2n1pkrXz58nzgwIECbVavXs2+vr6cmJioykfUhVl+1mS75AeFmQTyPlCxMLy9vW3OXmY8MyLzBl4jO3bs4BIlSnCtWrV42LBhPHPmTJ41axYPGzaMo6KiuGTJkrx27VpV6/Ty8hI60+MKPqJ9wyz3BmtRl507d6rKmsFg4Nq1axd6xE2LvomLi+Nhw4ZZXZ6amspqT9iLHkF0BR/RvmGWnzURF0VRkDVkDVmzwwdZQ9acsW+YmUuVKiV0pkcLn9atW/OcOXMsLlu5ciV7eHioeiizn58f79q1q1AXZvlZE3FBYeZgKlSowP379+e9e/dabXPjxg3+5JNP2Nvbm1u0aGG1nfHMiOhNiGo+ZJiZf/75Zx4zZgw3bdqUIyIiOCIigps2bcpjx47lc+fOqXKJiorikJAQoTM9Ij5qn5T++++/87lz56T5iPYNs9hNomp9CusbZnVZ8/T05F69elltl/eBzLKzdunSpQLTcudHbdYqVKggdARRi745dOhQoQ+M1KJvmOVnTaRvmJE1ZO0xyJo6H2QNWbPk4gxZK1mypNCZHi2y9umnn9osNI0FjaiPm5sbjxo1qlAXZvlZW79+Pffv39+mS/PmzYXXlx9M/iGBEydO0IwZM6hdu3bk4eFB9evXp6CgIPL29qbr16/T8ePHKS0tjerXr09TpkyhqVOnUlRUFLVp04YCAwNJURTKysqiLVu20Pnz52nDhg3Uo0cPoZsQGzRoQJ06daIBAwZQw4YNLe7fzZs3ac2aNbRw4UJ68803afbs2VJc5syZQ76+vvTCCy/Qpk2biuzDzDRgwABVLkOGDJHmI9o3RGI3idrjY8tFrU/jxo0pICDA6roURSFmFr7h1Z6sPfvss1Jc5syZQytWrKCDBw9Sz549i+xjb9ZsoUXfEGmXNVt9o5UPsoasFZcPsoasFZePq2QtISGBtm/fTvXq1TNbT7du3ejRo0fUu3dvItKubxISEqy6dO/endq2bSvsU6dOHQoMDCywnvwuWvrYcunevbvV5YWhsPFdAorM/fv3acOGDfTjjz9SRkYG3bt3j8qVK0cxMTHUtm1bio6OJiKijIwMSkxMpD179lBWVhYREVWsWJEaNWpEAwcOpPDwcIqLi6MKFSrQggULCmwnLS2NWrRoQX/++SddvXqVZsyYQUlJSYUGecKECdS+fXsiIjp//jxlZWWRoigUGBhIYWFhdrnI9Pnjjz9oxIgRql1k+oi4EJGmPoW5iPpkZWVRdna2xb/Pi6tkTaaPo7Mm6qK1D7KGrBWXD7KGrBWXD7JmOWvJycm0c+dOqwXSqlWr6JNPPqFKlSo5fdZEXbZv3+7wrKnG7nNtQFPUzhp07949XrduHQ8bNoxjY2O5bdu23KNHD547dy4fPXrU1G7+/PkcHBzMBoOBFUVhRVHYYDBwcHAwJyQkOIWPqIvefFzBRW8+yJrzuujNB1lzXhe9+SBrzuuiNx9kTb4LCjMHkpGRwXv27OG9e/cWep23DKZOncp+fn48a9YsPnz4MF+8eJEzMzP58OHDPGvWLC5dujRPmzbN7vXryUdPLszwKSrImjjwKRrImjjwKRrImjjwKRrImjgozBxAYZW22gk9fv/9d6F2wcHBnJycbHX5+vXrOSgoSNW2mfXlI3IURAsf9I0YevJB1myDrFkGWdNX3zDrywdZsw2yZhlk7f9BYVbMiFTaJUqUUDXTzqJFi4S27ePjw8ePH7e6/NixY+zj4/PE+ogeBVE7E5KID/rmyfJB1uS4wEeOC7KGrMnwQdbkuMBHjosrZS0vKMyKGZFKu2LFijxy5Ej29/fnChUqcIcOHbh///48ePBg7tGjB8fExLCnpyc3btyYN2zYILztZs2acY8ePfjhw4cFlj18+JDj4uK4WbNmT6yP6FGQP//8U7oP+ubJ8kHWnLdv9OaDrDlv3+jNB1lz3r7Rm4/espYXzMpYzPj6+tLBgwcpMjLS4vK0tDRq0KAB3b17V9XMiCIcPXqU2rRpQ9nZ2dSsWTOz6eB37txJXl5etGXLFoqKinoifdS4EKmbubK4XdT6OHvf6M0HWXPevtGbD7LmvH2jNx9kzXn7Rm8+estaXlCYFTPNmzen4OBgWrZsGbm7mz9GLicnh3r37k2ZmZm0Y8cOTbZ/+/ZtWrFihcXp4OPi4sjPz0/V+vTkoycXIvjIBlmzDnzkgqxZBz5yQdasAx+5IGtioDArZrSutIsbPfnoyYUIPs6MnlyI4OPM6MmFCD7OjJ5ciODjzOjJJT8ozByAlpW2I9CTj55ciODjzOjJhQg+zoyeXIjg48zoyYUIPs6MnlzMsPvuNOCSLF68mFu2bMldunThrVu3mi27evUqV6lSxUF7Zh968tGTCzN8nBk9uTDDx5nRkwszfJwZPbkww8eZ0dLF4OjCEBQfixYtotGjR1PNmjXJy8uLOnToQDNnzjQtz83NpfPnzztwD9WhJx89uRDBx5nRkwsRfJwZPbkQwceZ0ZMLEXycGc1dilo1AvU46qhBrVq1+IsvvjD9vnv3bq5QoQK/9957zMyclZXFBoNB9Xr15KMnF2b4yAJZKxz4yAFZKxz4yAFZKxz4yAFZEweFWTGzcOFC9vX15bfffpt79uzJXl5ePGPGDNPyonaoLXx8fPjcuXNmrx07dowDAwN53Lhxdm1bTz56cmGGj0yQNdvARx7Imm3gIw9kzTbwkQeyJg4Ks2JG60rbFiEhIbxz584Cr6elpXFgYCD36tVL9bb15KMnF2b4yARZsw185IGs2QY+8kDWbAMfeSBr4qAwK2a0rrRt0b17d37nnXcsLjt27BiXL19e9bb15KMnF2b4yARZsw185IGs2QY+8kDWbAMfeSBr4qAwK2a0rrRtceTIEU5KSrK6/NixYzx58mRV69STj55cmOEjE2TNNvCRB7JmG/jIA1mzDXzkgayJg8KsmNG60i5u9OSjJxdm+DgzenJhho8zoycXZvg4M3pyYYaPM6Mnl/ygMCtmtK60rXH+/HlV7X///Xehdnry0ZMLM3xkgawVDnzkgKwVDnzkgKwVDnzkgKypA4XZE0KFChW4f//+vHfvXqttbty4wZ988glHRUXxokWLinHv1KMnHz25MMPHmX305MIMH2f20ZMLM3yc2UdPLszwcWaf4nBxl/CsNSDIb7/9RqGhocLtMzMzqXLlylK2feLECZoxYwa1a9eOPDw8qH79+hQUFETe3t50/fp1On78OKWlpVH9+vVpzpw51L59+0LXqScfPbkQwceZffTkQgQfZ/bRkwsRfJzZR08uRPBxZh89uVhCYWaWsregUAIDA6lTp040YMAAatiwocU2N2/epDVr1tDChQvpzTffpCFDhkjdh/v379OGDRvoxx9/pIyMDLp37x6VK1eOYmJiqG3bthQdHS28Lj356MmFCD7O7KMnFyL4OLOPnlyI4OPMPnpyIYKPM/voycUSKMyKkWvXrtGMGTMoKSmp0Ep7woQJdlXaxYmefPTkQgQfZ/bRkwsRfJzZR08uRPBxZh89uRDBx5l99ORiCRRmDkDLStsR6MlHTy5E8HFm9ORCBB9nRk8uRPBxZvTkQgQfZ0ZPLnlBYQYAAAAAAAAADsbg6B0AAAAAAAAAgCcdFGYAAAAAAAAA4GBQmAEAAAAAAACAg0FhBgAAAAAAAAAOBoUZAAAAAAAAADgYFGYAAABcDmamVq1aUbVq1eiXX36hFi1aUEZGhqN3SwrNmzenYcOGCbXdsWMHKYpCN27cEF7/5MmTqW7dunbtGwAAAO1AYQYAAMDp2L17N7m5uVG7du0sLs/IyCB3d3davHgx9ezZkwICAig8PFzqPmRkZJCiKOTu7k6ZmZlmyy5dukTu7u6kKIr0gnD9+vU0bdo0obaNGzemS5cuUenSpYXXP2rUKNq6dau9uwcAAEAj8BwzAAAATkf//v2pZMmS9Nlnn9Hx48cpNDS02PchIyODqlSpQiEhIfTWW2/RP/7xD9OyWbNmUWJiIv3222907tw56UUhAACAJw+cMQMAAOBU3Llzh9asWUNvvfUWdezYkZYtW2a23Hj53tatW6l+/frk6+tLjRs3pl9//dWsXWJiIlWtWpU8PT2pRo0atHz5crv2p3fv3rR06VKz15YtW0a9e/cu8FqZMmXMXvv6669JURTT78bLCJcvX07h4eFUunRpeu211+j27dumNvkvZczOzqYxY8ZQSEgIeXl5UfXq1WnJkiVm/xbGSxmN+/D1119TREQEeXt7U+vWrenChQsF9sHIo0ePaOrUqRQcHExeXl5Ut25d2rRpkz3/VAAAAIoACjMAAABOxZdffkk1atSgGjVqUM+ePWnp0qVk6eKOd999l+bNm0cHDhwgd3d3io+PNy1LTk6md955h0aOHEnHjh2jN998k/r27Uvbt29XvT+dOnWi69ev065du4iIaNeuXXTt2jV68cUX7fI7e/Ysff311/Ttt9/St99+SykpKTRr1iyr7V9//XVavXo1LVq0iE6cOEEff/wxlSxZ0mr7u3fv0vTp0+nzzz+nn376iW7dukWvvfaa1fYLFy6kefPm0dy5c+mXX36htm3bUqdOnej06dN2+QEAALAPFGYAAACciiVLllDPnj2JiKhdu3b0119/Wbwnavr06dSsWTOqVasWjRs3jnbv3k33798nIqK5c+dSnz59aNCgQRQREUEjRoygV155hebOnat6fzw8PKhnz56UlJRERERJSUnUs2dP8vDwsMvv0aNHtGzZMoqOjqYmTZpQr169rN7zderUKVqzZg0lJSXRyy+/TE899RS1bNmSunXrZnX9Dx8+pA8//JAaNWpE9erVo88//5x2795N+/bts9h+7ty5NHbsWHrttdeoRo0aNHv2bKpbty4tWLDALj8AAAD2gcIMAACA0/Drr7/Svn37TGd43N3dqVu3bqaiKC916tQx/X+lSpWIiOjKlStERHTixAl67rnnzNo/99xzdOLECbv2q1+/frR27VrKysqitWvXmp2dU0t4eDiVKlXK9HulSpVM+52f1NRUcnNzo2bNmgmv393dnerXr2/6vWbNmlSmTBmL7rdu3aKLFy9K/bcCAABgH+6O3gEAAADAyJIlSygnJ4cqV65seo2ZycPDg65fv07+/v6m1/OesTLex/Xo0aMCr+VdT/7XRImOjqaaNWtS9+7dKTIykqKjoyk1NdWsjcFgKHDJ5cOHDwusK/+ZNkVRzPY7Lz4+PnbtryVPW+4y/60AAADYB86YAQAAcApycnLo3//+N82bN49SU1NNP0eOHKGwsDD64osvhNcVGRlpuifMyO7duykyMtLu/YuPj6cdO3ZYPVtWvnx5un37Nt25c8f0Wv7iTS21a9emR48eUUpKivDf5OTk0IEDB0y///rrr3Tjxg2qWbNmgbZ+fn4UFBQk/d8KAACAenDGDAAAgFPw7bff0vXr16lfv34FnsvVuXNnWrJkCQ0ePFhoXaNHj6auXbvSM888Qy1btqRvvvmG1q9fTz/88IPd+zdgwADq0qVLgZkXjTz77LPk6+tL48ePpyFDhtC+ffsKzCiplvDwcOrduzfFx8fTokWL6Omnn6bz58/TlStXqGvXrhb/xsPDg4YMGUKLFi0iDw8PGjx4MP3tb3+jhg0bWmw/evRomjRpElWtWpXq1q1LS5cupdTUVFWFMAAAgKKDM2YAAACcgiVLllCrVq0sPiz51VdfpdTUVDp06JDQumJjY2nhwoU0Z84cioqKon/961+0dOlSat68ualNnz59zH4vDHd3dypXrhy5u1s+plm2bFlasWIFbdiwgWrXrk2rVq2iyZMnC6/fGomJidS5c2caNGgQ1axZkwYMGGB2Vi4/vr6+NHbsWIqLi6NGjRqRj48PrV692mr7oUOH0siRI2nkyJFUu3Zt2rRpE/33v/+l6tWrF3nfAQAAiIMHTAMAAHgiad68OTVv3lxK8eQsLFu2jIYNG2Z6rhkAAADXAZcyAgAAeOK4ffs2nT17lr799ltH7woAAABARCjMAAAAPIGUKlWKLly44OjdAAAAAEzgUkYAAAAAAAAAcDCY/AMAAAAAAAAAHAwKMwAAAAAAAABwMCjMAAAAAAAAAMDBoDADAAAAAAAAAAeDwgwAAAAAAAAAHAwKMwAAAAAAAABwMCjMAAAAAAAAAMDBoDADAAAAAAAAAAfzf3UjTyJPG6nkAAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "

Tabla de pivote:

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Productoarroz-secano-manualbatatacocofrutales-varioshortalizas-variasmangopepino-cohombrotomateyuca
AñoMunicipio
2007.0CHIMA23.00NaNNaNNaNNaNNaNNaNNaN2850.00
COTORRA294.00NaN240.00NaNNaN80.0NaN480.0708.00
LORICA622.00NaNNaNNaNNaNNaNNaNNaN10260.00
MOMIL18.00NaNNaNNaNNaNNaNNaNNaN3950.00
PURISIMA120.00NaNNaNNaNNaNNaNNaNNaN4100.00
2008.0CHIMA36.00NaNNaNNaNNaNNaNNaNNaN2430.00
COTORRA301.00NaNNaNNaNNaNNaNNaN360.060.00
LORICA640.00NaNNaNNaNNaNNaNNaNNaN13200.00
MOMIL22.80NaNNaNNaNNaNNaNNaNNaN2570.00
PURISIMA24.00NaNNaNNaNNaNNaNNaNNaN700.00
2009.0CHIMA80.00NaNNaNNaNNaNNaNNaNNaN510.00
COTORRA480.00NaNNaNNaNNaNNaNNaN0.0480.00
LORICA588.50NaNNaNNaNNaNNaNNaNNaN12000.00
MOMIL57.10NaN0.00NaNNaNNaNNaNNaN2429.00
PURISIMA24.00NaNNaNNaNNaNNaNNaNNaN700.00
2010.0CHIMA119.60NaNNaNNaNNaNNaNNaNNaN1125.00
COTORRA200.00NaNNaNNaNNaNNaNNaN10.0492.00
LORICA848.40NaNNaNNaNNaNNaNNaNNaN12320.00
MOMIL52.50NaN0.00NaNNaNNaNNaNNaN518.00
PURISIMA60.00NaNNaNNaNNaNNaNNaNNaN550.00
2011.0CHIMA125.50NaNNaNNaNNaNNaNNaNNaN783.00
COTORRA66.00NaNNaNNaNNaNNaNNaN0.0600.00
LORICA1734.40NaNNaNNaNNaNNaNNaNNaN17400.00
MOMIL28.00NaN70.00NaNNaNNaNNaNNaN966.00
PURISIMA12.00NaNNaNNaNNaNNaNNaNNaN150.00
2012.0CHIMA158.62NaNNaNNaNNaNNaNNaNNaN1741.60
COTORRA96.00NaNNaNNaNNaNNaNNaN21.0600.00
LORICA1608.40NaNNaNNaNNaNNaNNaNNaN12320.00
MOMIL11.20NaN122.50NaN11.0NaNNaNNaN1090.00
PURISIMA46.00NaNNaNNaNNaNNaNNaNNaN500.00
2013.0CHIMA268.07NaNNaNNaNNaNNaNNaNNaN1893.75
COTORRA1410.00NaNNaNNaN90.0NaNNaN30.0600.00
LORICA1170.40NaNNaNNaNNaN1290.0NaNNaN13200.00
MOMIL125.90NaN120.00NaN10.0NaNNaNNaN3121.63
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN3230.00
2014.0CHIMA208.80NaNNaNNaNNaNNaNNaNNaN1190.00
COTORRA2190.00NaNNaNNaN90.0NaNNaN57.0648.00
LORICA900.00NaNNaNNaNNaN1290.0NaNNaN12000.00
MOMIL413.00NaN130.00NaNNaNNaNNaNNaN3121.63
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN1860.00
2015.0CHIMA109.20NaNNaNNaNNaNNaNNaNNaN480.00
COTORRA1550.00NaNNaNNaN35.0NaNNaN42.51120.00
LORICA900.00NaNNaNNaNNaN1225.50.00NaN13200.00
MOMIL231.88NaN130.00NaN2.4NaNNaNNaN1316.88
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN1800.00
2016.0CHIMA114.00NaNNaNNaNNaNNaNNaNNaN660.00
COTORRANaNNaNNaNNaNNaNNaNNaN20.0840.00
LORICA700.00NaNNaNNaNNaN1720.0120.00NaN17400.00
MOMIL177.54105.040.00NaNNaN0.00.75NaN3600.00
PURISIMA45.00NaNNaNNaNNaNNaNNaNNaN1770.00
2017.0CHIMA189.00NaNNaNNaNNaNNaNNaNNaN287.50
COTORRA1013.40NaNNaNNaNNaNNaNNaNNaN612.00
LORICA2400.00NaN400.00NaNNaN3440.0150.00NaN10350.00
MOMIL440.00122.560.00NaNNaN0.0NaNNaN890.00
PURISIMA110.00NaNNaNNaNNaNNaNNaNNaN1850.00
2018.0CHIMA205.78NaNNaNNaNNaNNaNNaNNaN920.00
COTORRA1064.28NaNNaNNaNNaNNaNNaNNaN480.00
LORICA300.00NaN400.00NaNNaN3440.0NaNNaN13500.00
MOMILNaN262.560.00NaNNaN0.0NaNNaN1460.00
PURISIMA115.68NaNNaNNaNNaNNaNNaNNaN1918.00
2019.0CHIMANaNNaNNaN10.0NaNNaNNaNNaN462.00
COTORRANaNNaN120.00NaNNaNNaNNaNNaN665.00
LORICANaNNaN450.00NaNNaN3200.071.50NaN13430.00
MOMILNaN7.012.00NaNNaN175.0NaNNaN4353.60
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN2180.00
2020.0CHIMANaNNaNNaN10.0NaNNaNNaNNaN186.00
COTORRANaNNaN120.00NaNNaNNaNNaNNaN660.00
LORICANaNNaN451.08NaNNaN3600.075.00NaN13260.00
MOMILNaNNaN14.00NaNNaN93.0NaNNaN4692.00
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN3920.00
2021.0CHIMANaNNaNNaN10.0NaNNaNNaNNaN540.00
COTORRANaNNaN70.00NaNNaNNaNNaNNaN720.00
LORICANaNNaN490.00NaNNaN1840.090.00NaN10000.00
MOMILNaNNaN30.10NaNNaN201.5NaNNaN4381.00
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN2347.50
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAA2YAAAKdCAYAAABI93qQAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAADpbklEQVR4nOzdeXhNV/v/8feReRYhUxsR8zxPMdcUM60WpSGlUXMVpdqaOikPNXZQRYxFq1UPbcwUNZOqSpU0hEeUGhIxRCTn94df9tdJIhINR/m8rutc7LXXXvte+wzJnbX2Oiaz2WxGRERERERErCaftQMQERERERF50ikxExERERERsTIlZiIiIiIiIlamxExERERERMTKlJiJiIiIiIhYmRIzERERERERK1NiJiIiIiIiYmVKzERERERERKxMiZmIiIiIiIiVKTETkRzr3r07JUqU4Pz589YORUREROSxosRM5DF06NAhevXqRbFixXBycsLJyYkSJUrw6quvsm/fvvtqc9asWaxdu5a1a9dSqFChTPuXLVtGuXLlcHJywmQyERUVxdixYzGZTP+0O3kiIiICk8nEiRMn8rS9+72eD1Je93XLli2YTCbjYWNjg4+PDy+88ALR0dF5co57KVKkCGFhYQ/lXHdj7dfz5cuXKViwIEuXLjXKfvjhB8aOHftQzr9x40ZcXV353//+91DOl9eee+45TCYTAwYMyLbewIEDcXNzo2fPnpw5cwY/Pz/i4uIeUpTZu/O9GBERkWWdxo0bYzKZKFKkyAOP537flyaT6b5ft2FhYQ+lbyLWoMRM5DEza9YsqlWrxu7du3nttddYvXo1a9asYfDgwfz222/UqFGDmJiYXLV58OBB3nnnHX744QeKFi2aaf/58+cJDQ2lWLFiREZGsnPnTkqWLMkrr7zCzp0786prYmUffvghO3fuZPPmzYwYMYL169dTt27df+0v6rll7dfzuHHj8Pf3p3PnzkbZDz/8wLhx4x7K+Zs0aULNmjV56623Hsr58tK5c+dYvXo1AIsXL+bGjRtZ1ktKSmLWrFksXLiQq1evUrx4cZo2bUrhwoUfZrj35Obmxpw5czKVx8bGsmXLFtzd3R9KHN999x2jRo3K9XE7d+7klVdeua9zjho1iu++++6+jhV51NlaOwARyTs7duygX79+tG7dmm+++QZ7e3tjX+PGjenfvz9ff/01Tk5O2bZz7do1nJ2dje0qVapkO33xjz/+ICUlhZdeeomGDRsa5c7Ozjz99NP/oEeS8bmwphIlSlC7dm0AGjRoQP78+enVqxcRERG8/fbbWR7zKMX/Tz399NNWez1fvHiRWbNmMWXKFKuO2vXv35/OnTvz/vvvExAQYLU47nT9+vV7fqYtWLCAlJQUWrduzZo1a/j222/p2rVrpnqurq7cvHkTgA4dOjyIcPNE586d+fLLLzl27BglSpQwyufOnctTTz1FhQoVOHLkyAOPo0qVKvd1XPrnyP0oVqzYfR8r8qjTiJnIY+TDDz/ExsaGWbNmWSRld3rhhRfw9/c3tsPCwnB1deXXX3+lefPmuLm50aRJEwDWr19P+/btefrpp3F0dKR48eK8+uqr/P333xbH16tXD7j9y4LJZKJRo0bA3ad+LVmyhODgYFxdXXF1daVy5cqZ/vo7d+5cKlWqhKOjIwUKFODZZ5/N8bS5Xbt2UbduXRwdHfH392fkyJGkpKRkWXfZsmUEBwfj4uKCq6srISEhHDx4MEfnAbh06RIvv/wyBQoUwMXFhbZt2/Lnn39a1MnJdYT/u14HDhzg+eefx9PT856/hDzMvmaU/svVyZMn7xn/jRs3GDlyJEFBQdjb2/PUU0/Rv39/Ll++bNFmSkoKw4cPx9fXF2dnZ+rVq8eePXsynftur627TePMyWsuMjKSJk2a4OHhgbOzM2XKlGH8+PHZnjMtLY2JEydSunRpHBwc8Pb2pnv37pw+fdqiXqNGjShfvjx79+6lfv36ODs7U7RoUT766CPS0tKyucr/169bt25ZjJaFhYXxySefAFhMNU3ve06veZEiRWjTpg2RkZFUrVoVJycnSpcuzdy5czPF0bZtW1xdXZk9e/Y9Y07/bPntt99o0qQJLi4uFCpUiAEDBnDt2jWLurmN9dtvv6VKlSo4OjrmaMRw7ty5+Pj4MH/+fJycnLLsW/prZ/PmzfTt25eCBQvi5eXFc889x5kzZyzq5vR5z2jbtm2YTCa++uqrTPsWLFiAyWRi79699+xPs2bNCAgIsOhHWloa8+fPp0ePHuTLZ/nr3YkTJ+46/THjtML01/lvv/3Giy++iIeHBz4+PvTs2ZOEhASLY7Oaynj58mWGDh1K0aJFjWvTqlUrfv/997ueM/3ar1+//p6fp1lNZczp60fkUafETOQxkZqayubNm6levTp+fn65OvbmzZu0a9eOxo0b8/333xu/6Pzxxx/UqFGDmTNnsnbtWkaPHs2uXbuoV6+e8cv/qFGjjF8O06e6ffrpp3c91+jRo+nWrRv+/v5ERETw3Xff0aNHD+OXe4Dx48fTq1cvypUrx7fffsu0adM4dOgQwcHBHDt2LNu+HDlyhCZNmnD58mUiIiL4/PPPOXjwIO+//36muh9++CEvvvgiZcuWZfny5SxcuJArV65Qv379HP+1uVevXuTLl48lS5YwdepU9uzZQ6NGjSx+IYiJiSE4OJjPPvuMdevWMXr0aHbv3m1xHe/03HPPUbx4cb7++ms+//zzR6avGR0/fhwg0z2HGeM3m8106NCBSZMmERoaypo1axgyZAjz58+ncePGJCcnG8eGh4czadIkunfvzvfff0/Hjh157rnnuHTp0n3FCDl7zc2ZM4dWrVqRlpbG559/zn//+18GDRp0z1+0+/bty4gRI2jWrBmrVq3ivffeIzIykjp16mRKvM+ePUu3bt146aWXWLVqFS1btmTkyJEsWrTonn1Ys2YNVapUIX/+/EbZqFGjeP7554HbU8PSH35+frm65gC//PILQ4cO5fXXX+f777+nYsWK9OrVi59++sminr29PXXq1GHNmjX3jBluJ9qtWrWiSZMmrFy5kgEDBjBr1iyLBDO3sR44cIA33niDQYMGERkZSceOHbON4eeffyY6Opru3bvj5eVFx44d2bRpE7GxsVnWf+WVV7Czs2PJkiVMnDiRLVu28NJLL1nUyc3zfqf69etTpUoV4zPzTjNnzqRGjRrUqFEj2/4A5MuXj7CwMBYsWEBqaioA69at4/Tp07z88sv3PD4nOnbsSMmSJVmxYgVvvvkmS5Ys4fXXX8/2mCtXrlCvXj1mzZrFyy+/zH//+18+//xzSpYsSXx8/D3PmZPP04xy+/oReaSZReSxcPbsWTNg7tKlS6Z9t27dMqekpBiPtLQ0Y1+PHj3MgHnu3Lk5Ok9cXJwZMH///fdG2ebNm82A+euvv7aoO2bMGPOdHzN//vmn2cbGxtytW7e7tn/p0iWzk5OTuVWrVpnO6+DgYO7atWu28XXu3Nns5ORkPnv2rFF269Ytc+nSpc2AOTY21mjP1tbWPHDgQIvjr1y5Yvb19TV36tQp2/PMmzfPDJifffZZi/IdO3aYAfP777+f5XFpaWnmlJQU88mTJzNdx/TrNXr06GzP/bD7mv78Llu2zJySkmK+du2a+aeffjIXL17cbGNjY/7ll1+yjT8yMtIMmCdOnGhRvmzZMjNg/uKLL8xms9kcHR1tBsyvv/66Rb3FixebAXOPHj2MsoyvrXTpz0t633Pymrty5YrZ3d3dXK9ePYv3RkYZz5keb79+/Szq7d692wyY33rrLaOsYcOGZsC8e/dui7ply5Y1h4SE3PWc6Zydnc19+vTJVN6/f/8sr0NOr7nZbDYHBgaaHR0dzSdPnjTKrl+/bi5QoID51VdfzdT222+/bc6XL585KSkp25jTP1umTZtmUf7BBx+YAfP27dvvK1YbGxvz0aNHsz33nXr27GkGzNHR0Waz+f9ez6NGjbKol/7ayfh8Tpw40QyY4+PjzWZz7p73rKSf5+DBg0bZnj17zIB5/vz52R5752ftn3/+aTaZTObVq1ebzWaz+YUXXjA3atTIbDabza1btzYHBgYax8XGxpoB87x58zK1CZjHjBljbKe/zjM+H/369TM7OjpavEcCAwMt3pfvvvuuGTCvX78+235kPGduPk979Ohh0bfcvH5EHnUaMRN5AlSrVg07OzvjMXny5Ex1svqr88WLFxkyZAilS5fG3d0dR0dH436G+1mNb/369aSmptK/f/+71tm5cyfXr1/PND0mICCAxo0bs3HjxmzPsXnzZpo0aYKPj49RZmNjY/EXeoC1a9dy69Ytunfvzq1bt4yHo6MjDRs2ZMuWLTnqU7du3Sy269SpQ2BgIJs3bzbKzp07R58+fQgICMDW1hY7OzsCAwOBrK/jvUYArNXXzp07Y2dnh7OzMw0aNCA1NZVvvvmGihUrZhv/pk2bADI9py+88AIuLi7Gc5p+zTJe006dOmFre3+3ROfkNffzzz+TmJhIv379cnX/Vnq8GftVs2ZNypQpk+m16uvrS82aNS3KKlasaDFyl5XLly9z7do1vL29cxxbTq95usqVK1sscOHo6EjJkiWzjM3b25u0tDTOnj2bo1gyPp/p93alX7/cxlqxYkVKliyZo3MnJSWxfPly6tSpQ+nSpQFo2LAhxYoVIyIiIstppO3atct0Pvi/Kbu5fd4zevHFF/H29rYYNZsxYwaFChXK9N7NTlBQEI0aNWLu3LlcuHCB77//np49e+b4+HvJ6jrcuHGDc+fO3fWYH3/8kZIlS9K0adP7OmdOPk8zyu3rR+RRpsU/RB4TBQsWxMnJKctfpJYsWcK1a9eIj4/P9MMWbi/SkXEVL7PZTPPmzfnf//7H+++/T8WKFXF1dSU1NZUKFSpw/fr1XMeYvoBIdgsoXLhwASDL6Zj+/v6sX78+23NcuHABX1/fTOUZy/766y+Au04byniPxt3c7Vzp/UhLS6N58+acOXOGUaNGUaFCBVxcXEhLS6N27dpZXsecTkV92H2dMGECjRs3xsbGhoIFC9518YeM8V+4cAFbW9tMUx5NJpPFtUr/N2P8tra2eHl55SjGjHLymstJnazc67Wa8b2YVR8cHBzu+V5K3+/o6Jir2HJyze8ntvQ4cvIZkNVzl/783vm85ybW3EzVXrZsGUlJSXTq1MliOlynTp0YP34869evJyQkxOKYjPE6ODgA/9ff3D7vGTk4OPDqq68yefJk/vOf/5CSksLy5csZMmSIca6c6tWrFy+//DIff/wxTk5OxtTWvHCv65CV8+fP/6MVLO/1eZqV3L5+RB5lSsxEHhM2NjY0btyYdevWER8fb/FLQ9myZQHu+r1WWY0SHD58mP3797NgwQJCQ0ON8j/++OO+Y0z/wXn69Om7/lKf/stAVvcjnDlzhoIFC2Z7Di8vryz/kp+xLL2db775xhi9uh93O1fx4sWB29fxl19+ISIigh49ehh10u/PykpOR20edl+LFi1K9erV71kvY/xeXl7cunWL8+fPW/zyZDabOXv2rJEwpj/3Z8+e5amnnjLq3bp1K9MvV+nJQXJyssUvsxnv78nJa+7OOrlx52s1Y1KXk9dqbs9z8eLFXB2Tk2t+P9LjyEn/0p+7O3/JT399ppflNtbcjGqmL/AyePBgBg8enOX+jInZveTF8963b18++ugj5s6dy40bN7h16xZ9+vTJVRxw+37O/v3789FHHxEeHn7X1SnvfL/cKa+TlkKFCuX6fXSne32eZuVBvtZFHjZNZRR5jIwcOZLU1FT69Olz15X5cspsNgO3E747ZbcYxb00b94cGxsbPvvss7vWCQ4OxsnJKdOCCKdPn2bTpk3GipF388wzz7Bx40ZjlAhuL4yybNkyi3ohISHY2toSExND9erVs3zkxOLFiy22f/75Z06ePGmsTJn+S2TGv4TPmjUrR+1n52H39X6lP2cZn9MVK1Zw9epVY3/6Nct4TZcvX86tW7csytJXZTt06JBF+X//+1+L7Zy85urUqYOHh4exUElONW7cGMjcr7179xIdHX3P12pO2dvbU7Ro0Sy/f/Buoxg5veb3488//8TLy8tiCm12Mj6fS5YsAf7v+X5QsUZHR7Nz5046duzI5s2bMz2aNGnC999/n+vkJC+edz8/P1544QU+/fRTPv/8c9q2bXtfI01OTk6MHj2atm3b0rdv37vW8/HxwdHRMdP75fvvv8/1ObPTsmVL/vjjD2N6YW7d6/M0Kw/ytS7ysGnETOQxUrduXT755BMGDhxI1apV6d27N+XKlSNfvnzEx8ezYsUKgBx9+WiZMmUoWrQoI0eOxGw24+XlxapVq9iwYcN9x1ekSBHeeust3nvvPa5fv24sxXzkyBH+/vtvxo0bR/78+Rk1ahRvvfUW3bt358UXX+TChQuMGzcOR0dHxowZk+053nnnHVatWkXjxo0ZPXo0zs7OfPLJJ1y9ejVTLO+++y5vv/02f/75Jy1atMDT05O//vqLPXv24OLikqNluPft28crr7zCCy+8wKlTp3j77bd56qmn6NevHwClS5emWLFivPnmm5jNZgoUKMB///vfe07JzImH3df71axZM0JCQhgxYgSJiYnUrVuXQ4cOMWbMGKpUqWKMyJYpU4aXXnqJqVOnYmdnR9OmTTl8+DCTJk3K9Jpt1aoVBQoUoFevXrz77rvY2toSERHBqVOnMvX9Xq85V1dXJk+ezCuvvELTpk0JDw/Hx8eH48eP88svvzBz5sws+1WqVCl69+7NjBkzyJcvHy1btuTEiROMGjWKgICAe65glxuNGjXixx9/zFReoUIF4PY005YtW2JjY0PFihVzfM3vx65du2jYsGGORq7s7e2ZPHkySUlJ1KhRg59//pn333+fli1bGl+z8aBiTR8tGz58eKZ7++D2CoIbN25k0aJFvPbaazluN6+e99dee41atWoBMG/evByfP6MhQ4YwZMiQbOuYTCZeeukl5s6dS7FixahUqRJ79uwxkuS8MnjwYJYtW0b79u158803qVmzJtevX2fr1q20adOGZ555Jtvj7/V5mpUH+VoXeeistuyIiDwwUVFR5pdfftkcFBRkdnBwMDs6OpqLFy9u7t69u3njxo0WdXv06GF2cXHJsp0jR46YmzVrZnZzczN7enqaX3jhBWNVxjtX1MrpqozpFixYYK5Ro4bZ0dHR7Orqaq5SpUqm1cK+/PJLc8WKFc329vZmDw8Pc/v27c2//fZbjvq/Y8cOc+3atc0ODg5mX19f8xtvvGH+4osvLFbrS7dy5UrzM888Y3Z3dzc7ODiYAwMDzc8//7x5w4YN2Z4jfRWxdevWmUNDQ8358+c3VpM8duyYRd2cXsf063X+/Pkc9fNh9fVuz29G2cV//fp184gRI8yBgYFmOzs7s5+fn7lv377mS5cuWdRLTk42Dx061Ozt7W12dHQ0165d27xz585Mq7+ZzbdXsqtTp47ZxcXF/NRTT5nHjBlj/vLLL7Pse05ecz/88IO5YcOGZhcXF7Ozs7O5bNmy5gkTJmTq351SU1PNEyZMMJcsWdJsZ2dnLliwoPmll14ynzp1yqJew4YNzeXKlct0XTKuMHc3GzduNAPmPXv2ZLper7zyirlQoUJmk8lk0fecXvPAwEBz69atM52zYcOG5oYNG1qUHT9+3AyYV6xYcc+Y0z9bDh06ZG7UqJHZycnJXKBAAXPfvn0zrej4T2PN6ObNm2Zvb29z5cqV71rn1q1b5qefftpcoUIFs9n8f+/pvXv3WtRLf/1v3rzZKMvp834vRYoUMZcpUybH9XP6Xsy4KqPZbDYnJCSYX3nlFbOPj4/ZxcXF3LZtW/OJEydy/DmUccVTsznzqoxm8+2VdV977TVz4cKFzXZ2dmZvb29z69atzb///rtRJ+M5c/N5mtV7JqevH5FHnclszsW8DREREbGKihUrUrdu3WynZT5oo0aNYsGCBcTExNxzpcywsDC++eYbkpKSHlJ0/y6HDh2iUqVKfPLJJ9mOCD0JIiIiePnll9m7d+8Dn1ot8ijTPWYiIiL/AhMnTiQiIuIfLa7wT1y+fJlPPvmEDz/88L6/vkBuf+H8pk2b6N27N35+fpmWeReRJ5cSMxERkX+BFi1a8J///IfY2FirnD82NpaRI0ca30Mm9+e9996jWbNmJCUl8fXXX+Ps7GztkETkEaGpjCIiIiIiIlamETMRERERERErU2ImIiIiIiJiZUrMRERERERErEzLKuWhtLQ0zpw5g5ubW46+eFNERERERB5PZrOZK1eu4O/vT7589x4PU2KWh86cOUNAQIC1wxARERERkUfEqVOnePrpp+9ZT4lZHnJzcwNuX3x3d3crRyMiIiIiItaSmJhIQECAkSPcixKzPJQ+fdHd3V2JmYiIiIiI5PgWJy3+ISIiIiIiYmVKzERERERERKxMiZmIiIiIiIiV6R4zEZHHjNls5tatW6Smplo7FBGrsbGxwdbWVl9fIyL/GkrMREQeIzdv3iQ+Pp5r165ZOxQRq3N2dsbPzw97e3trhyIick9KzEREHhNpaWnExsZiY2ODv78/9vb2Gi2QJ5LZbObmzZucP3+e2NhYSpQokaMvdxURsSYlZiIij4mbN2+SlpZGQEAAzs7O1g5HxKqcnJyws7Pj5MmT3Lx5E0dHR2uHJCKSLf35SETkMaORAZHb9F4QkX8TfWKJiIiIiIhYmRIzERERERERK1NiJiIikgfGjh1L5cqVrR2GiIj8SykxExGRx1pYWBgmkwmTyYSdnR1FixZl2LBhXL161dqhZWvLli2YTCYuX75s7VBEROQhsGpi9tNPP9G2bVv8/f0xmUysXLnSYn/6D9KMj//85z9GnUaNGmXa36VLF4t2Ll26RGhoKB4eHnh4eBAaGprpB11cXBxt27bFxcWFggULMmjQIG7evPmgui4iIg9RixYtiI+P588//+T999/n008/ZdiwYZnqpaSkWCE6ERERKydmV69epVKlSsycOTPL/fHx8RaPuXPnYjKZ6Nixo0W98PBwi3qzZs2y2N+1a1eioqKIjIwkMjKSqKgoQkNDjf2pqam0bt2aq1evsn37dpYuXcqKFSsYOnRo3ndaREQeOgcHB3x9fQkICKBr165069aNlStXGtMP586dS9GiRXFwcMBsNhMXF0f79u1xdXXF3d2dTp068ddff1m0+dFHH+Hj44Obmxu9evXixo0bFvsbNWrE4MGDLco6dOhAWFiYsZ2cnMzw4cMJCAjAwcGBEiVKMGfOHE6cOMEzzzwDgKenJyaTyTguOTmZQYMG4e3tjaOjI/Xq1WPv3r15fs1EROThsur3mLVs2ZKWLVvedb+vr6/F9vfff88zzzxD0aJFLcqdnZ0z1U0XHR1NZGQku3btolatWgDMnj2b4OBgjh49SqlSpVi3bh1Hjhzh1KlT+Pv7AzB58mTCwsL44IMPcHd3/yfdFBGRR4yTk5MxOnb8+HGWL1/OihUrsLGxAW4nUC4uLmzdupVbt27Rr18/OnfuzJYtWwBYvnw5Y8aM4ZNPPqF+/fosXLiQ6dOnZ/r5dC/du3dn586dTJ8+nUqVKhEbG8vff/9NQEAAK1asoGPHjhw9ehR3d3ecnJwAGD58OCtWrGD+/PkEBgYyceJEQkJCOH78OAUKFMi7iyQiIg/Vv+YLpv/66y/WrFnD/PnzM+1bvHgxixYtwsfHh5YtWzJmzBjc3NwA2LlzJx4eHkZSBlC7dm08PDz4+eefKVWqFDt37qR8+fJGUgYQEhJCcnIy+/fvN/5qmVFycjLJycnGdmJiYl51V0REHpA9e/awZMkSmjRpAtz+Yu6FCxdSqFAhANavX8+hQ4eIjY0lICAAgIULF1KuXDn27t1LjRo1mDp1Kj179uSVV14B4P3332fDhg2ZRs2y88cff7B8+XLWr19P06ZNASwSu/Qky9vbm/z58wO3Z5p89tlnREREGH/YnD17NuvXr2fOnDm88cYb/+DKiIiINf1rFv+YP38+bm5uPPfccxbl3bp146uvvmLLli2MGjWKFStWWNQ5e/Ys3t7emdrz9vbm7NmzRh0fHx+L/Z6entjb2xt1sjJ+/HjjvjUPDw/jB7iIiDxaVq9ejaurK46OjgQHB9OgQQNmzJgBQGBgoJGUwe2ZFgEBARaf6WXLliV//vxER0cbdYKDgy3OkXH7XqKiorCxsaFhw4Y5PiYmJoaUlBTq1q1rlNnZ2VGzZk0jNhER+Xf614yYzZ07l27duuHo6GhRHh4ebvy/fPnylChRgurVq3PgwAGqVq0K3F5EJCOz2WxRnpM6GY0cOZIhQ4YY24mJiUrOREQeQc888wyfffYZdnZ2+Pv7Y2dnZ+xzcXGxqHu3z/57/UzIKF++fJjNZouyOxcXSZ+amBvp7WWMI7exiYjIo+dfMWK2bds2jh49akwZyU7VqlWxs7Pj2LFjwO371DLesA1w/vx5Y5TM19c308jYpUuXSElJyTSSdicHBwfc3d0tHiIi8uhxcXGhePHiBAYGWiRlWSlbtixxcXGcOnXKKDty5AgJCQmUKVMGgDJlyrBr1y6L4zJuFypUiPj4eGM7NTWVw4cPG9sVKlQgLS2NrVu3ZhmHvb29cVy64sWLY29vz/bt242ylJQU9u3bZ8QmIiL/Tv+KxGzOnDlUq1aNSpUq3bPub7/9RkpKCn5+fsDtqSUJCQns2bPHqLN7924SEhKoU6eOUefw4cMWP0DXrVuHg4MD1apVy+PeiIi1bdxUzNohyCOsadOmVKxYkW7dunHgwAH27NlD9+7dadiwIdWrVwfgtddeY+7cucydO5c//viDMWPG8Ntvv1m007hxY9asWcOaNWv4/fff6devn8VXtRQpUoQePXrQs2dPVq5cSWxsLFu2bGH58uXA7SmWJpOJ1atXc/78eZKSknBxcaFv37688cYbREZGcuTIEcLDw7l27Rq9evV6aNfocaDPARF51Fg1MUtKSiIqKoqoqCgAYmNjiYqKIi4uzqiTmJjI119/neVoWUxMDO+++y779u3jxIkT/PDDD7zwwgtUqVLFmH9fpkwZWrRoQXh4OLt27WLXrl2Eh4fTpk0bSpUqBUDz5s0pW7YsoaGhHDx4kI0bNzJs2DDCw8M1CiYi8oRJ/15NT09PGjRoQNOmTSlatCjLli0z6nTu3JnRo0czYsQIqlWrxsmTJ+nbt69FOz179qRHjx5GUhcUFJRpManPPvuM559/nn79+lG6dGnCw8ONL75+6qmnGDduHG+++SY+Pj4MGDAAuL1Mf8eOHQkNDaVq1aocP36ctWvX4unp+YCvjIiIPEgmc8YJ8A/Rli1bslzxsEePHkRERADwxRdfMHjwYOLj4/Hw8LCod+rUKV566SUOHz5MUlISAQEBtG7dmjFjxlgsGXzx4kUGDRrEqlWrAGjXrh0zZ840VrmC218w3a9fPzZt2oSTkxNdu3Zl0qRJODg45Lg/iYmJeHh4kJCQoIRO5BG2cVMxmjSOsXYYee7GjRvExsYSFBSU6X5ckSdRdu+Jx/VzQEQeHbnNDayamD1ulJiJ/Ds8rr+QKTETsaTETESsKbe5wb/iHjMREREREZHHmRIzERERERERK1NiJiIiIiIiYmVKzERERERERKxMiZmIiIiIiIiVKTETERERERGxMiVmIiIiIiIiVqbETERERERExMpsrR2AiIg8WEXeXPNQz3fio9YP9Xzy5CpSpAiDBw9m8ODB1g5FROQf04iZiIiIiIiIlSkxExGRf52UlJRMZTdv3rRCJCIiInlDiZmIiFhdZGQk9erVI3/+/Hh5edGmTRtiYmIAOHHiBCaTieXLl9OoUSMcHR1ZtGgRYWFhdOjQgfHjx+Pv70/JkiUB+PXXX2ncuDFOTk54eXnRu3dvkpKSjHOZTKZMjyJFitw1tpMnT9K2bVs8PT1xcXGhXLly/PDDD8b+I0eO0KpVK1xdXfHx8SE0NJS///7b2J+WlsaECRMoXrw4Dg4OFC5cmA8++MDYP2LECEqWLImzszNFixZl1KhRFonn2LFjqVy5MgsXLqRIkSJ4eHjQpUsXrly5YtRJTk5m0KBBeHt74+joSL169di7d2+21/zO61q/fn2cnJyoUaMGf/zxB3v37qV69eq4urrSokULzp8/bxy3d+9emjVrRsGCBfHw8KBhw4YcOHDAom2TycSXX37Js88+i7OzMyVKlGDVqlXG/oiICPLnz29xzMqVKzGZTMZ2TEwM7du3x8fHB1dXV2rUqMGGDRuy7ZOIyL+ZEjMREbG6q1evMmTIEPbu3cvGjRvJly8fzz77LGlpaUadESNGMGjQIKKjowkJCQFg48aNREdHs379elavXs21a9do0aIFnp6e7N27l6+//poNGzYwYMAAo534+Hjjcfz4cYoXL06DBg3uGlv//v1JTk7mp59+4tdff2XChAm4uroabTVs2JDKlSuzb98+IiMj+euvv+jUqZNx/MiRI5kwYQKjRo3iyJEjLFmyBB8fH2O/m5sbERERHDlyhGnTpjF79mymTJliEUNMTAwrV65k9erVrF69mq1bt/LRRx8Z+4cPH86KFSuYP38+Bw4coHjx4oSEhHDx4sV7XvsxY8bwzjvvcODAAWxtbXnxxRcZPnw406ZNY9u2bcTExDB69Gij/pUrV+jRowfbtm1j165dlChRglatWlkkigDjxo2jU6dOHDp0iFatWtGtW7ccxZMuKSmJVq1asWHDBg4ePEhISAht27YlLi4ux22IiPybaPEPERGxuo4dO1psz5kzB29vb44cOWIkQYMHD+a5556zqOfi4sKXX36Jvb09ALNnz+b69essWLAAFxcXAGbOnEnbtm2ZMGECPj4++Pr6AmA2m+nYsSMeHh7MmjXrrrHFxcXRsWNHKlSoAEDRokWNfZ999hlVq1blww8/NMrmzp1LQEAAf/zxB35+fkybNo2ZM2fSo0cPAIoVK0a9evWM+u+8847x/yJFijB06FCWLVvG8OHDjfK0tDQiIiJwc3MDIDQ0lI0bN/LBBx9w9epVPvvsMyIiImjZsqVxHdavX8+cOXN444037n7hgWHDhhmJ7muvvcaLL77Ixo0bqVu3LgC9evUiIiLCqN+4cWOL42fNmoWnpydbt26lTZs2RnlYWBgvvvgiAB9++CEzZsxgz549tGjRItt40lWqVIlKlSoZ2++//z7fffcdq1atski0RUQeFxoxExERq4uJiaFr164ULVoUd3d3goKCACxGR6pXr57puAoVKhhJGUB0dDSVKlUykjKAunXrkpaWxtGjRy2Ofeutt9i5cycrV67EyckJgHLlyuHq6oqrq6uR5AwaNIj333+funXrMmbMGA4dOmS0sX//fjZv3mwc4+rqSunSpY0+RUdHk5ycTJMmTe7a92+++YZ69erh6+uLq6sro0aNyjQqVKRIESMpA/Dz8+PcuXPGeVJSUoxECsDOzo6aNWsSHR0NQJ8+fSxivFPFihWN/6eP5KUnoell6ecCOHfuHH369KFkyZJ4eHjg4eFBUlJSppjvbNfFxQU3NzeLdu7l6tWrDB8+nLJly5I/f35cXV35/fffNWImIo8tjZiJiIjVtW3bloCAAGbPno2/vz9paWmUL1/eYkGPO5Otu5WZzWaL+5TudGf5okWLmDJlClu2bOHpp582yn/44Qfj/q70ZO2VV14hJCSENWvWsG7dOsaPH8/kyZMZOHAgaWlpxmhcRn5+fvz555/Z9nvXrl106dKFcePGERISgoeHB0uXLmXy5MkW9ezs7DL1JX2ap9lsztS/jNfi3XffZdiwYVnGcGfb6fUzlt05pTQsLIzz588zdepUAgMDcXBwIDg4ONPiK9nFnC9fPiPudBkXdHnjjTdYu3YtkyZNonjx4jg5OfH8889rkRcReWwpMRMREau6cOEC0dHRzJo1i/r16wOwffv2+2qrbNmyzJ8/n6tXrxpJ244dO8iXL5+xOMjOnTt55ZVXmDVrFrVr17Y4PjAwMMt2AwIC6NOnD3369GHkyJHMnj2bgQMHUrVqVVasWEGRIkWwtc38I7VEiRI4OTmxceNGXnnllUz7d+zYQWBgIG+//bZRdvLkyVz1uXjx4tjb27N9+3a6du0K3E5y9u3bZ3y/l7e3N97e3rlq9262bdvGp59+SqtWrQA4deqUxWInOVGoUCGuXLli8TxFRUVlOk9YWBjPPvsscPuesxMnTvzj+EVEHlWayigiIlbl6emJl5cXX3zxBcePH2fTpk0MGTLkvtrq1q0bjo6O9OjRg8OHD7N582YGDhxIaGgoPj4+nD17lmeffZYuXboQEhLC2bNnOXv2rMWqgxkNHjyYtWvXEhsby4EDB9i0aRNlypQBbi8McvHiRV588UX27NnDn3/+ybp16+jZsyepqak4OjoyYsQIhg8fzoIFC4iJiWHXrl3MmTMHuJ1UxcXFsXTpUmJiYpg+fTrfffddrvrs4uJC3759eeONN4iMjOTIkSOEh4dz7do1evXqdV/XMTvFixdn4cKFREdHs3v3brp162aMLuZUrVq1cHZ25q233uL48eMsWbLE4j629PN8++23REVF8csvv9C1a1eLkTsRkceNRsxERB5zJz5qbe0QspUvXz6WLl3KoEGDKF++PKVKlWL69Ok0atQo1205Ozuzdu1aXnvtNWrUqIGzszMdO3bk448/BuD333/nr7/+Yv78+cyfP984LjAw8K6jMampqfTv35/Tp0/j7u5OixYtjFUT/f392bFjByNGjCAkJITk5GQCAwNp0aIF+fLd/tvnqFGjsLW1ZfTo0Zw5cwY/Pz/69OkDQPv27Xn99dcZMGAAycnJtG7dmlGjRjF27Nhc9fujjz4iLS2N0NBQrly5QvXq1Vm7di2enp65vIL3NnfuXHr37k2VKlUoXLgwH3744V2nSd5NgQIFWLRoEW+88QZffPEFTZs2ZezYsfTu3duoM2XKFHr27EmdOnUoWLAgI0aMIDExMa+7IyLyyDCZM07ylvuWmJiIh4cHCQkJuLu7WzscEbmLjZuK0aRxjLXDyHM3btwgNjaWoKAgHB0drR2OiNVl9554XD8HROTRkdvcQFMZRURERERErEyJmYiIiIiIiJUpMRMREREREbEyJWYiIiIiIiJWpsRMRERERETEypSYiYiIiIiIWJkSMxEREREREStTYiYiIiIiImJlSsxERERERESszNbaAYiIyAM21uMhny8hV9UbNWpE5cqVmTp16oOJR0RE5F9AI2YiIvKvtmXLFkwmE5cvX87VcSdOnMBkMhEVFfVA4hIREckNJWYiIiIiIiJWpsRMRESs7tatWwwYMID8+fPj5eXFO++8g9lsBmDRokVUr14dNzc3fH196dq1K+fOnQNuj3o988wzAHh6emIymQgLCwMgMjKSevXqGW22adOGmJgY45xBQUEAVKlSBZPJRKNGjQDYu3cvzZo1o2DBgnh4eNCwYUMOHDjwkK6EiIg8qZSYiYiI1c2fPx9bW1t2797N9OnTmTJlCl9++SUAN2/e5L333uOXX35h5cqVxMbGGslXQEAAK1asAODo0aPEx8czbdo0AK5evcqQIUPYu3cvGzduJF++fDz77LOkpaUBsGfPHgA2bNhAfHw83377LQBXrlyhR48ebNu2jV27dlGiRAlatWrFlStXHuYlERGRJ4wW/xAREasLCAhgypQpmEwmSpUqxa+//sqUKVMIDw+nZ8+eRr2iRYsyffp0atasSVJSEq6urhQoUAAAb29v8ufPb9Tt2LGjxTnmzJmDt7c3R44coXz58hQqVAgALy8vfH19jXqNGze2OG7WrFl4enqydetW2rRpk9ddFxERATRiJiIij4DatWtjMpmM7eDgYI4dO0ZqaioHDx6kffv2BAYG4ubmZkw5jIuLy7bNmJgYunbtStGiRXF3dzemLt7ruHPnztGnTx9KliyJh4cHHh4eJCUl3fM4ERGRf0IjZiIi8si6ceMGzZs3p3nz5ixatIhChQoRFxdHSEgIN2/ezPbYtm3bEhAQwOzZs/H39yctLY3y5cvf87iwsDDOnz/P1KlTCQwMxMHBgeDg4HseJyIi8k8oMRMREavbtWtXpu0SJUrw+++/8/fff/PRRx8REBAAwL59+yzq2tvbA5CammqUXbhwgejoaGbNmkX9+vUB2L59+z2PA9i2bRuffvoprVq1AuDUqVP8/fff/7SLIiIi2dJURhERsbpTp04xZMgQjh49yldffcWMGTN47bXXKFy4MPb29syYMYM///yTVatW8d5771kcGxgYiMlkYvXq1Zw/f56kpCQ8PT3x8vLiiy++4Pjx42zatIkhQ4ZYHOft7Y2TkxORkZH89ddfJCTc/mLs4sWLs3DhQqKjo9m9ezfdunXDycnpoV0LERF5MmnETETkcTc2wdoR3FP37t25fv06NWvWxMbGhoEDB9K7d29MJhMRERG89dZbTJ8+napVqzJp0iTatWtnHPvUU08xbtw43nzzTV5++WW6d+9OREQES5cuZdCgQZQvX55SpUoxffp04/40AFtbW6ZPn867777L6NGjqV+/Plu2bGHu3Ln07t2bKlWqULhwYT788EOGDRtmhasiIiJPEpM5/Yti5B9LTEzEw8ODhIQE3N3drR2OiNzFxk3FaNI45t4V/2Vu3LhBbGwsQUFBODo6WjscEavL7j3xuH4OiMijI7e5gaYyioiIiIiIWJkSMxEREREREStTYiYiIiIiImJlSsxERERERESsTImZiIiIiIiIlSkxExERERERsTIlZiIiIiIiIlamxExERERERMTKlJiJiIiIiIhYma21AxARkQerwvwKD/V8v/b49aGeT0RE5HGgETMRERERERErU2ImIiIiIiJiZVZNzH766Sfatm2Lv78/JpOJlStXWuwPCwvDZDJZPGrXrm1RJzk5mYEDB1KwYEFcXFxo164dp0+ftqhz6dIlQkND8fDwwMPDg9DQUC5fvmxRJy4ujrZt2+Li4kLBggUZNGgQN2/efBDdFhGRDNLS0pgwYQLFixfHwcGBwoUL88EHHwDw66+/0rhxY5ycnPDy8qJ3794kJSVZHD937lzKlSuHg4MDfn5+DBgwwNgXFxdH+/btcXV1xd3dnU6dOvHXX3891P6JiIjci1UTs6tXr1KpUiVmzpx51zotWrQgPj7eePzwww8W+wcPHsx3333H0qVL2b59O0lJSbRp04bU1FSjTteuXYmKiiIyMpLIyEiioqIIDQ019qemptK6dWuuXr3K9u3bWbp0KStWrGDo0KF532kREclk5MiRTJgwgVGjRnHkyBGWLFmCj48P165do0WLFnh6erJ3716+/vprNmzYYJF4ffbZZ/Tv35/evXvz66+/smrVKooXLw6A2WymQ4cOXLx4ka1bt7J+/XpiYmLo3LmztboqIiKSJasu/tGyZUtatmyZbR0HBwd8fX2z3JeQkMCcOXNYuHAhTZs2BWDRokUEBASwYcMGQkJCiI6OJjIykl27dlGrVi0AZs+eTXBwMEePHqVUqVKsW7eOI0eOcOrUKfz9/QGYPHkyYWFhfPDBB7i7u2d5/uTkZJKTk43txMTEXF8DEZEn3ZUrV5g2bRozZ86kR48eABQrVox69eoxe/Zsrl+/zoIFC3BxcQFg5syZtG3blgkTJuDj48P777/P0KFDee2114w2a9SoAcCGDRs4dOgQsbGxBAQEALBw4ULKlSvH3r17jXoiIiLW9sjfY7Zlyxa8vb0pWbIk4eHhnDt3zti3f/9+UlJSaN68uVHm7+9P+fLl+fnnnwHYuXMnHh4eRlIGULt2bTw8PCzqlC9f3kjKAEJCQkhOTmb//v13jW38+PHG9EgPDw/jh76IiORcdHQ0ycnJNGnSJMt9lSpVMpIygLp165KWlsbRo0c5d+4cZ86cyfLY9OMDAgIsPp/Lli1L/vz5iY6OzvvOiIiI3KdHOjFr2bIlixcvZtOmTUyePJm9e/fSuHFjY5Tq7Nmz2Nvb4+npaXGcj48PZ8+eNep4e3tnatvb29uijo+Pj8V+T09P7O3tjTpZGTlyJAkJCcbj1KlT/6i/IiJPIicnp7vuM5vNmEymLPeZTKZsj83u+OzaFRERsYZHOjHr3LkzrVu3pnz58rRt25Yff/yRP/74gzVr1mR7XMYfuDn5oXw/P7gdHBxwd3e3eIiISO6UKFECJycnNm7cmGlf2bJliYqK4urVq0bZjh07yJcvHyVLlsTNzY0iRYpkeWz68XFxcRZ/ODty5AgJCQmUKVMm7zsjIiJynx7pxCwjPz8/AgMDOXbsGAC+vr7cvHmTS5cuWdQ7d+6cMQLm6+ub5epb58+ft6iTcWTs0qVLpKSkZBpJExGRvOXo6MiIESMYPnw4CxYsICYmhl27djFnzhy6deuGo6MjPXr04PDhw2zevJmBAwcSGhpqfD6PHTuWyZMnM336dI4dO8aBAweYMWMGAE2bNqVixYp069aNAwcOsGfPHrp3707Dhg2pXr26NbstIiJiwaqLf+TWhQsXOHXqFH5+fgBUq1YNOzs71q9fT6dOnQCIj4/n8OHDTJw4EYDg4GASEhLYs2cPNWvWBGD37t0kJCRQp04do84HH3xAfHy80fa6detwcHCgWrVqD7ubIiJ56tcev1o7hHsaNWoUtra2jB49mjNnzuDn50efPn1wdnZm7dq1vPbaa9SoUQNnZ2c6duzIxx9/bBzbo0cPbty4wZQpUxg2bBgFCxbk+eefBzC+imXgwIE0aNCAfPny0aJFCyNxExEReVSYzGaz2VonT0pK4vjx4wBUqVKFjz/+mGeeeYYCBQpQoEABxo4dS8eOHfHz8+PEiRO89dZbxMXFER0djZubGwB9+/Zl9erVREREUKBAAYYNG8aFCxfYv38/NjY2wO171c6cOcOsWbMA6N27N4GBgfz3v/8Fbi+XX7lyZXx8fPjPf/7DxYsXCQsLo0OHDrn64Z2YmIiHhwcJCQma1ijyCNu4qRhNGsdYO4w8d+PGDWJjYwkKCsLR0dHa4YhYXXbvicf1c0BEHh25zQ2sOmK2b98+nnnmGWN7yJAhwO2/fn722Wf8+uuvLFiwgMuXL+Pn58czzzzDsmXLjKQMYMqUKdja2tKpUyeuX79OkyZNiIiIMJIygMWLFzNo0CBj9cZ27dpZfHeajY0Na9asoV+/ftStWxcnJye6du3KpEmTHvQlEBERERERse6I2eNGI2Yi/w6P61/KNWImYkkjZiJiTbnNDf5Vi3+IiIiIiIg8jpSYiYiIiIiIWJkSMxEREREREStTYiYiIiIiImJlSsxERERERESsTImZiIiIiIiIlSkxExERERERsTKrfsG0iIg8eNGlyzzU85X5PTrXx5jNZl599VW++eYbLl26xMGDB6lcuXLeB3cXJ06cICgo6KGfNy+MHTuWlStXEhUVZe1QRETkH9CImYiIWF1kZCQRERGsXr2a+Ph4ypcvf1/tbNmyBZPJxOXLl/M2wEfYsGHD2Lhxo7XDEBGRf0gjZiIiYnUxMTH4+flRp06dLPffvHkTe3v7hxzVo81sNpOamoqrqyuurq7WDkdERP4hjZiJiIhVhYWFMXDgQOLi4jCZTBQpUoRGjRoxYMAAhgwZQsGCBWnWrBknTpzAZDJZTNm7fPkyJpOJLVu2cOLECZ555hkAPD09MZlMhIWFAbdH5OrVq0f+/Pnx8vKiTZs2xMTEZBvXkSNHaNWqFa6urvj4+BAaGsrff/9t7P/mm2+oUKECTk5OeHl50bRpU65evZplW8HBwbz55psWZefPn8fOzo7NmzcDsGjRIqpXr46bmxu+vr507dqVc+fOGfXTRwPXrl1L9erVcXBwYNu2bYwdO9Zi+mVaWhrvvvsuTz/9NA4ODlSuXJnIyEhj/82bNxkwYAB+fn44OjpSpEgRxo8fn+21EBGRB0+JmYiIWNW0adOMRCI+Pp69e/cCMH/+fGxtbdmxYwezZs26ZzsBAQGsWLECgKNHjxIfH8+0adMAuHr1KkOGDGHv3r1s3LiRfPny8eyzz5KWlpZlW/Hx8TRs2JDKlSuzb98+IiMj+euvv+jUqZOx/8UXX6Rnz55ER0ezZcsWnnvuOcxmc5btdevWja+++spi/7Jly/Dx8aFhw4bA7YTpvffe45dffmHlypXExsYaieWdhg8fzvjx44mOjqZixYpZXs/JkyczadIkDh06REhICO3atePYsWMATJ8+nVWrVrF8+XKOHj3KokWLKFKkyD2vr4iIPFiayigiIlbl4eGBm5sbNjY2+Pr6GuXFixdn4sSJxvaJEyeybcfGxoYCBQoA4O3tTf78+Y19HTt2tKg7Z84cvL29OXLkSJb3s3322WdUrVqVDz/80CibO3cuAQEB/PHHHyQlJXHr1i2ee+45AgMDAahQocJdY+vcuTOvv/4627dvp379+gAsWbKErl27ki/f7b+R9uzZ06hftGhRpk+fTs2aNUlKSrKYqvjuu+/SrFmzu55r0qRJjBgxgi5dugAwYcIENm/ezNSpU/nkk0+Ii4ujRIkS1KtXD5PJZMQvIiLWpREzERF5JFWvXj3P2oqJiaFr164ULVoUd3d3goKCAIiLi8uy/v79+9m8ebNx/5arqyulS5c22qpUqRJNmjShQoUKvPDCC8yePZtLly4BsG3bNovjFi9eTKFChWjWrBmLFy8GIDY2lp07d9KtWzfjnAcPHqR9+/YEBgbi5uZGo0aNsowxu+uSmJjImTNnqFu3rkV53bp1iY6+vVpmWFgYUVFRlCpVikGDBrFu3bqcXkYREXmAlJiJiMgjycXFxWI7fWTpzumAKSkpOWqrbdu2XLhwgdmzZ7N79252794N3J4+mJW0tDTatm1LVFSUxePYsWM0aNAAGxsb1q9fz48//kjZsmWZMWMGpUqVIjY2lurVq1sc065dO+D2dMZvvvmGlJQUlixZQrly5ahUqRJwe6pl8+bNcXV1ZdGiRezdu5fvvvsuyxgzXpesmEwmi22z2WyUVa1aldjYWN577z2uX79Op06deP7553N0HUVE5MFRYiYiIv8KhQoVAm7f35Uu43d3pa/cmJqaapRduHCB6Oho3nnnHZo0aUKZMmWM0a27qVq1Kr/99htFihShePHiFo/0xMhkMlG3bl3GjRvHwYMHsbe357vvvsPJycmivpubGwAdOnTgxo0bREZGsmTJEl566SXjfL///jt///03H330EfXr16d06dIWC3/klLu7O/7+/mzfvt2i/Oeff6ZMmTIW9Tp37szs2bNZtmwZK1as4OLFi7k+n4iI5B3dYyYiIv8KTk5O1K5dm48++ogiRYrw999/884771jUCQwMxGQysXr1alq1aoWTkxOenp54eXnxxRdf4OfnR1xcXKYVEjPq378/s2fP5sUXX+SNN96gYMGCHD9+nKVLlzJ79mz27dvHxo0bad68Od7e3uzevZvz589bJD8Zubi40L59e0aNGkV0dDRdu3Y19hUuXBh7e3tmzJhBnz59OHz4MO+99959Xac33niDMWPGUKxYMSpXrsy8efOIiooyplFOmTIFPz8/KleuTL58+fj666/x9fW1uCdPREQePiVmIiKPuTK/R1s7hDwzd+5cevbsSfXq1SlVqhQTJ06kefPmxv6nnnqKcePG8eabb/Lyyy/TvXt3IiIiWLp0KYMGDaJ8+fKUKlWK6dOnG/dwZcXf358dO3YwYsQIQkJCSE5OJjAwkBYtWpAvXz7c3d356aefmDp1KomJiQQGBjJ58mRatmyZbfzdunWjdevWNGjQgMKFCxvlhQoVIiIigrfeeovp06dTtWpVJk2aZEyDzI1BgwaRmJjI0KFDOXfuHGXLlmXVqlWUKFECAFdXVyZMmMCxY8ewsbGhRo0a/PDDD8ZUURERsQ6T+W5r+0quJSYm4uHhQUJCAu7u7tYOR0TuYuOmYjRpnP13WP0b3bhxg9jYWIKCgnB0dLR2OCJWl9174nH9HBCRR0ducwP9eUxERERERMTKlJiJiIiIiIhYmRIzERERERERK1NiJiIiIiIiYmVKzERERERERKxMiZmIiIiIiIiVKTETERERERGxMiVmIiIiIiIiVqbETERERERExMpsrR2AiIg8WJ/02fRQz9f/88a5qt+oUSMqV67M1KlTH0xAuRQWFsbly5dZuXIl8OjFl1cy9lNERKxLiZmIiDyW8iqh+vbbb7Gzs8uboB4h06ZNw2w2WzsMERH5/5SYiYjIYyUlJSVPE6kCBQrkWVuPgtTUVEwmEx4eHtYORURE7qB7zERExOrS0tIYPnw4BQoUwNfXl7Fjxxr74uLiaN++Pa6urri7u9OpUyf++usvY//YsWOpXLkyc+fOpWjRojg4ONCjRw+2bt3KtGnTMJlMmEwmTpw4QWpqKr169SIoKAgnJydKlSrFtGnTso2tUaNGDB48GIAtW7YY7d35CAsLAyAmJob27dvj4+ODq6srNWrUYMOGDRbtffrpp5QoUQJHR0d8fHx4/vnn73pNnn76aT7//HOL8gMHDmAymfjzzz8B+Pjjj6lQoQIuLi4EBATQr18/kpKSjPoRERHkz5+f1atXU7ZsWRwcHDh58iRhYWF06NDBqBcZGUm9evXInz8/Xl5etGnThpiYGGP/zZs3GTBgAH5+fjg6OlKkSBHGjx+f7bUTEZGcU2ImIiJWN3/+fFxcXNi9ezcTJ07k3XffZf369ZjNZjp06MDFixfZunUr69evJyYmhs6dO1scf/z4cZYvX86KFSuIiopi+vTpBAcHEx4eTnx8PPHx8QQEBBjJzvLlyzly5AijR4/mrbfeYvny5TmKs06dOkZ78fHxbNq0CUdHRxo0aABAUlISrVq1YsOGDRw8eJCQkBDatm1LXFwcAPv27WPQoEG8++67HD16lMjISOPYjPLly0eXLl1YvHixRfmSJUsIDg6maNGiRr3p06dz+PBh5s+fz6ZNmxg+fLjFMdeuXWP8+PF8+eWX/Pbbb3h7e2c639WrVxkyZAh79+5l48aN5MuXj2effZa0tDQApk+fzqpVq1i+fDlHjx5l0aJFFClSJEfXTeRJtnFTMWuHIP8SmsooIiJWV7FiRcaMGQNAiRIlmDlzJhs3bgTg0KFDxMbGEhAQAMDChQspV64ce/fupUaNGsDt0ZyFCxdSqFAho017e3ucnZ3x9fU1ymxsbBg3bpyxHRQUxM8//8zy5cvp1KnTPeO0t7c32rtw4QLh4eH07NmTnj17AlCpUiUqVapk1H///ff57rvvWLVqFQMGDCAuLg4XFxfatGmDm5sbgYGBVKlS5a7n69atGx9//DEnT54kMDCQtLQ0li5dyltvvWXUSR/NS+/Pe++9R9++ffn000+N8pSUFD799FOL2DLq2LGjxfacOXPw9vbmyJEjlC9fnri4OEqUKEG9evUwmUwEBgbe83qJiEjOacRMRESsrmLFihbbfn5+nDt3jujoaAICAoykDKBs2bLkz5+f6OhooywwMNAiKcvO559/TvXq1SlUqBCurq7Mnj3bGNHKqZSUFDp27EjhwoUtpkJevXqV4cOHGzG6urry+++/G+03a9aMwMBAihYtSmhoKIsXL+batWsALF68GFdXV+Oxbds2qlSpQunSpfnqq68A2Lp1K+fOnbNIIjdv3kyzZs146qmncHNzo3v37ly4cIGrV68adezt7TNd44xiYmLo2rUrRYsWxd3dnaCgIAAj9rCwMKKioihVqhSDBg1i3bp1ubpmIiKSPSVmIiJidRkX6zCZTKSlpWE2mzGZTJnqZyx3cXHJ0XmWL1/O66+/Ts+ePVm3bh1RUVG8/PLL3Lx5M1fx9u3bl7i4OL7++mtsbf9v8skbb7zBihUr+OCDD9i2bRtRUVFUqFDBaN/NzY0DBw7w1Vdf4efnx+jRo6lUqRKXL1+mXbt2REVFGY/q1asDt0fNlixZAtyexhgSEkLBggUBOHnyJK1ataJ8+fKsWLGC/fv388knnwC3k8d0Tk5OWV7HO7Vt25YLFy4we/Zsdu/eze7duwGM2KtWrUpsbCzvvfce169fp1OnTne9P05ERHJPUxlFROSRVbZsWeLi4jh16pQxanbkyBESEhIoU6ZMtsfa29uTmppqUbZt2zbq1KlDv379jLI7F7jIiY8//phly5axc+dOvLy8MrUfFhbGs88+C9y+5+zEiRMWdWxtbWnatClNmzZlzJgx5M+fn02bNvHcc8/h5uaW6Xxdu3blnXfeYf/+/XzzzTd89tlnxr59+/Zx69YtJk+eTL58t//WmtP75e504cIFoqOjmTVrFvXr1wdg+/btmeq5u7vTuXNnOnfuzPPPP0+LFi24ePHiY7dypYjc3cZNxWjSOHefm5IzSsxEROSR1bRpUypWrEi3bt2YOnUqt27dol+/fjRs2NAYUbqbIkWKsHv3bk6cOIGrqysFChSgePHiLFiwgLVr1xIUFMTChQvZu3evMW3vXjZs2MDw4cP55JNPKFiwIGfPngVuj0h5eHhQvHhxvv32W9q2bYvJZGLUqFHG4hkAq1ev5s8//6RBgwZ4enryww8/kJaWRqlSpe56zqCgIOrUqUOvXr24desW7du3N/YVK1aMW7duMWPGDNq2bcuOHTsyreKYE56ennh5efHFF1/g5+dHXFwcb775pkWdKVOm4OfnR+XKlcmXLx9ff/01vr6+5M+fP9fnExGRzJSYySNDf4EReTD6f97Y2iHkWGLir7i7VzC2TSYTK1euZODAgTRo0IB8+fLRokULZsyYcc+2hg0bRo8ePShbtizXr18nNjaWPn36EBUVRefOnTGZTLz44ov069ePH3/8MUfxbd++ndTUVPr06UOfPn2M8h49ehAREcGUKVPo2bMnderUoWDBgowYMYLExESjXv78+fn2228ZO3YsN27coESJEnz11VeUK1cu2/N269aN/v370717d5ycnIzyypUr8/HHHzNhwgRGjhxJgwYNGD9+PN27d89Rf9Lly5ePpUuXMmjQIMqXL0+pUqWYPn06jRo1Muq4uroyYcIEjh07ho2NDTVq1OCHH34wRupEROSfMZnNZrO1g3hcJCYm4uHhQUJCAu7u7tYO519HiZk8LI/ra+3GjRvExsYSFBSEo6OjtcO5LxkTM5F/Irv3xOP6OSCPnsfttfa49edBym1uoD9ziYiIiIiIWJkSMxEREREREStTYiYiIiIiImJlSsxERERERESsTImZiIiIiIiIlSkxExERERERsTIlZiIiIiIiIlamxExERERERMTKlJiJiIiIiIhYma21AxARkQdrcuc2D/V8Q5etfqjnExEReRxoxExERERERMTKlJiJiIhVNWrUiIEDBzJ48GAKF66Lj48PX3zxBVevXuXll1/Gzc2NYsWK8eOPPwKQmppKr169CAoKwsnJiVKlSjFt2jSLNsPCwujQoQOTJk3Cz88PLy8v+vfvT0pKilEnPj6e1q1b4+TkRFBQEEuWLKFIkSJMnTrVqBMXF0f79u1xdXXF3d2dTp068ddffz2U6yIiIk8WqyZmP/30E23btsXf3x+TycTKlSuNfSkpKYwYMYIKFSrg4uKCv78/3bt358yZMxZtNGrUCJPJZPHo0qWLRZ1Lly4RGhqKh4cHHh4ehIaGcvnyZYs6cXFxtG3bFhcXFwoWLMigQYO4efPmg+q6iIjcYf78+RQsWJDNm5cwcOBA+vbtywsvvECdOnU4cOAAISEhhIaGcu3aNdLS0nj66adZvnw5R44cYfTo0bz11lssX77cos3NmzcTExPD5s2bmT9/PhEREURERBj703+mbNmyhRUrVvDFF19w7tw5Y7/ZbKZDhw5cvHiRrVu3sn79emJiYujcufPDuiwiIvIEsWpidvXqVSpVqsTMmTMz7bt27RoHDhxg1KhRHDhwgG+//ZY//viDdu3aZaobHh5OfHy88Zg1a5bF/q5duxIVFUVkZCSRkZFERUURGhpq7E9NTaV169ZcvXqV7du3s3TpUlasWMHQoUPzvtMiIpJJpUqVeOeddyhWLJCRI0fi5OREwYIFCQ8Pp0SJEowePZoLFy5w6NAh7OzsGDduHDVq1CAoKIhu3boRFhaWKTHz9PRk5syZlC5dmjZt2tC6dWs2btwIwO+//86GDRuYPXs2tWrVomrVqnz55Zdcv37dOH7Dhg0cOnSIJUuWUK1aNWrVqsXChQvZunUre/fufajXR0REHn9WXfyjZcuWtGzZMst9Hh4erF+/3qJsxowZ1KxZk7i4OAoXLmyUOzs74+vrm2U70dHRREZGsmvXLmrVqgXA7NmzCQ4O5ujRo5QqVYp169Zx5MgRTp06hb+/PwCTJ08mLCyMDz74AHd397zoroiI3EXFihWN/9vY2ODl5UWFChWMMh8fHwBjROvzzz/nyy+/5OTJk1y/fp2bN29SuXJlizbLlSuHjY2Nse3n58evv/4KwNGjR7G1taVq1arG/uLFi+Pp6WlsR0dHExAQQEBAgFFWtmxZ8ufPT3R0NDVq1MiDnouIiNz2r7rHLCEhAZPJRP78+S3KFy9eTMGCBSlXrhzDhg3jypUrxr6dO3fi4eFhJGUAtWvXxsPDg59//tmoU758eSMpAwgJCSE5OZn9+/ffNZ7k5GQSExMtHiIiknt2dnYW2yaTyaLMZDIBkJaWxvLly3n99dfp2bMn69atIyoqipdffjnT9POs2kxLSwNuT1PMyp3lZrPZOG/GOlmVi4iI/BP/muXyb9y4wZtvvknXrl0tRrC6detGUFAQvr6+HD58mJEjR/LLL78Yo21nz57F29s7U3ve3t6cPXvWqJP+19h0np6e2NvbG3WyMn78eMaNG5cX3RMRkRzatm0bderUoV+/fkZZTExMrtooXbo0t27d4uDBg1SrVg2A48ePW9x/XLZsWeLi4jh16pQxanbkyBESEhIoU6bMP++IiIjIHf4ViVlKSgpdunQhLS2NTz/91GJfeHi48f/y5ctTokQJqlevzoEDB4wpKjn5i+f9/FV05MiRDBkyxNhOTEy0mPIiIiJ5r3jx4ixYsIC1a9cSFBTEwoUL2bt3L0FBQTluo3Tp0jRt2pTevXvz2WefYWdnx9ChQ3FycjI+95s2bUrFihXp1q0bU6dO5datW/Tr14+GDRtSvXr1B9U9ERF5Qj3yUxlTUlLo1KkTsbGxrF+//p73e1WtWhU7OzuOHTsGgK+vb5ZLG58/f94YJfP19c00Mnbp0iVSUlIyjaTdycHBAXd3d4uHiIg8WH369OG5556jc+fO1KpViwsXLliMnuXUggUL8PHxoUGDBjz77LOEh4fj5uaGo6MjgLFasKenJw0aNKBp06YULVqUZcuW5XWXREREHu0Rs/Sk7NixY2zevBkvL697HvPbb7+RkpKCn58fAMHBwSQkJLBnzx5q1qwJwO7du0lISKBOnTpGnQ8++ID4+HjjuHXr1uHg4GBMcRER+bcaumy1tUPI1pYtWzKVnThxIlPZnfd/zZs3j3nz5lnsHz9+vPH/O5fFT3fn95PB7cVAfvjhB2P79OnTnDt3juLFixtlhQsX5vvvv79HD0RERP45qyZmSUlJHD9+3NiOjY0lKiqKAgUK4O/vz/PPP8+BAwdYvXo1qampxqhWgQIFsLe3JyYmhsWLF9OqVSsKFizIkSNHGDp0KFWqVKFu3boAlClThhYtWhAeHm4so9+7d2/atGlDqVKlAGjevDlly5YlNDSU//znP1y8eJFhw4YRHh6uUTARYOOmYjRpnLt7eEQedZs2bSIpKYkKFSoQHx/P8OHDKVKkCA0aNLB2aCIi8gSy6lTGffv2UaVKFapUqQLAkCFDqFKlCqNHj+b06dOsWrWK06dPU7lyZfz8/IxH+mqK9vb2bNy4kZCQEEqVKsWgQYNo3rw5GzZssFgiefHixVSoUIHmzZvTvHlzKlasyMKFC439NjY2rFmzBkdHR+rWrUunTp3o0KEDkyZNergXREREHpqUlBTeeustypUrx7PPPkuhQoXYsmVLptUcRUREHgarjpg1atTorksWw92XM04XEBDA1q1b73meAgUKsGjRomzrFC5cmNWrH+3pPiIikndCQkIICQmxdhgiIiLAv2DxDxERERERkcedEjMRERERERErU2ImIiIiIiJiZUrMRERERERErEyJmYiIiIiIiJUpMRMREXlAEhN/tXYIIiLyL6HETEREHntjx46lcuXK1g7jnk6cOIHJZCIqKuqhnzsiIoL8+fM/9POKiMhtVv0eMxERefBOv7ntoZ7v6Y/qP9Tz5cSwYcMYOHCgtcMQERG5KyVmIiLy2HN1dcXV1dXaYTx2UlJSsLOzs3YYIiKPBU1lFBERq2rUqBEDBgxgwIABFC5cFy8vL9555x3MZjMAN2/eZPjw4Tz11FO4uLhQq1YttmzZYhyfPgVv5cqVlCxZEkdHR5o1a8apU6eMOhmnMoaFhdGhQwcmTZqEn58fXl5e9O/fn5SUFKPOpUuX6N69O56enjg7O9OyZUuOHTt2z/789ttvtG7dGnd3d556qjb169cnJiYGgLS0NN59912efvppHBwcqFy5MpGRkZna+PPPP3nmmWdwdnamUqVK7Ny502L/ihUrKFeuHA4ODhQpUoTJkydb7C9SpAjvv/8+3bt3x9XVlcDAQL7//nvOnz9P+/btcXV1pUKFCuzbty/TuXNyHefOnUvRokVxcHDAbDYTFxdntOvu7k6nTp3466+/7nmtRETk/ygxExERq5s/fz62trZs3LiI6dOnM2XKFL788ksAXn75ZXbs2MHSpUs5dOgQL7zwAi1atLBIkq5du8YHH3zA/Pnz2bFjB4mJiXTp0iXbc27evJmYmBg2b97M/PnziYiIICIiwtgfFhbGvn37WLVqFTt37sRsNtOqVSuL5C2j//3vfzRo0ABHR0c2bdrE1q1L6dmzJ7du3QJg2rRpTJ48mUmTJnHo0CFCQkJo165dpoTv7bffZtiwYURFRVGyZElefPFFo439+/fTqVMnunTpwq+//srYsWMZNWqURewAU6ZMoW7duhw8eJDWrVsTGhpK9+7deemllzhw4ADFixene/fuRgKc0+t4/Phxli9fzooVK4x74Tp06MDFixfZunUr69evJyYmhs6dO2d7/UVExJKmMoqIiNUFBAQwZcoUrlw5TLVqFfj111+ZMmUKjRs35quvvuL06dP4+/sDt+8Xi4yMZN68eXz44YfA7Sl1M2fOpFatWsDtRK9MmTLs2bOHmjVrZnlOT09PZs6ciY2NDaVLl6Z169Zs3LiR8PBwjh07xqpVq9ixYwd16tQBYPHixQQEBLBy5UpeeOGFLNv85JNP8PDwYOnSpdjZ2ZGY+CtVq7Y19k+aNIkRI0YYyc6ECRPYvHkzU6dO5ZNPPjHqDRs2jNatWwMwbtw4ypUrx/HjxyldujQff/wxTZo0YdSoUQCULFmSI0eO8J///IewsDCjjVatWvHqq68CMHr0aD777DNq1KhhxD5ixAiCg4P566+/8PX1zfF1vHnzJgsXLqRQoUIArF+/nkOHDhEbG0tAQAAACxcupFy5cuzdu5caNWpk99SLiMj/pxEzERGxutq1a2MymYzt4OBgjh07xr59+zCbzZQsWdK4T8zV1ZWtW7ca0wMBbG1tqV69urFdunRp8ufPT3R09F3PWa5cOWxsbIxtPz8/zp07B0B0dDS2trZGggLg5eVFqVKljDZbtmxpxFOuXDkAoqKiqF+/fpb3XSUmJnLmzBnq1q1rUV63bt1McVasWNEiLsAitqzaOHbsGKmpqVm24ePjA0CFChUylaW3Czm7joGBgUZSlh5PQECAkZQBlC1b9p7XX0RELGnETEREHmk2Njbs37/fIokCMi3mcWdil11ZuozJk8lkIi0tDcBiet+dzGaz0eaXX37J9evXLdpycnLKritZxnRnm1nFlr7vztiyaiOjrNrIrt27xZexzMXF5Z7xZ1cuIiJZ04iZiIhY3a5duzJtlyhRgipVqpCamsq5c+coXry4xSN9+h3ArVu3LBayOHr0KJcvX6Z06dL3FU/ZsmW5desWu3fvNsouXLjAH3/8QZkyZQB46qmnjFgCAwOB26NU27Zty/I+NHd3d/z9/dm+fbtF+c8//2y0mdPYsmqjZMmSmZLX3Lqf61i2bFni4uIsFgk5cuQICQkJueqXiMiTTomZiIhY3alTpxgyZAjHjsXy1VdfMWPGDF577TVKlixJt27d6N69O99++y2xsbHs3buXCRMm8MMPPxjH29nZMXDgQHbv3s2BAwd4+eWXqV279l3vL7uXEiVK0L59e8LDw9m+fTu//PILL730Ek899RTt27e/63EDBgwwFszYt28fMTEnWbhwIUePHgXgjTfeYMKECSxbtoyjR4/y5ptvEhUVxWuvvZbj2IYOHcrGjRt57733+OOPP5g/fz4zZ85k2LBh99XXO93PdWzatCkVK1akW7duHDhwgD179tC9e3caNmxoMS1SRESyp8RMRESsrnv37ly/fp3GjbvRv39/Bg4cSO/evQGYN28e3bt3Z+jQoZQqVYp27dqxe/dui3uanJ2dGTFiBF27diU4OBgnJyeWLl36j2KaN28e1apVo02bNgQHB2M2m/nhhx+y/d4uLy8vNm3aRFJSEg0bNqRhwy7Mnj3bOGbQoEEMHTqUoUOHUqFCBSIjI1m1ahUlSpTIcVxVq1Zl+fLlLF26lPLlyzN69Gjeffddi4U/7tf9XEeTycTKlSvx9PSkQYMGNG3alKJFi7Js2bJ/HI+IyJPEZL7bRHrJtcTERDw8PEhISMDd3d3a4fzrbNxUjCaNY+5dUR66x+25edz6k+7GjRvExsYSFBSEo6OjtcPJsUaNGlG5cmWmTp1KYuKvuLtXuPdBd4iIiGDw4MFcvnz5wQT4D9xPfyTvZPeeeFw/B+TR87i91h63/jxIuc0NNGImIiIiIiJiZUrMRERERERErEzL5YuIiFVt2bLlHx0fFhaWJ/dXiYiIWJNGzERERERERKzsHyVmycnJeRWHiIiIiIjIEytXidnatWsJCwujWLFi2NnZ4ezsjJubGw0bNuSDDz7gzJkzDypOERERERGRx1aOErOVK1dSqlQpevToQb58+XjjjTf49ttvWbt2LXPmzKFhw4Zs2LCBokWL0qdPH86fP/+g4xYREREREXls5Gjxjw8//JBJkybRunVr8uXLnMt16tQJgP/9739MmzaNBQsWMHTo0LyNVERERERE5DGVo8Rsz549OWrsqaeeYuLEif8oIBERERERkSeNVmUUERERERGxslx/j1lqaioRERFs3LiRc+fOkZaWZrF/06ZNeRaciIj8c2PHjn3kz9eoUSMqV67Mu+/2yvuAciksLIzLly+zcuVKa4ciIiJPkFwnZq+99hoRERG0bt2a8uXLYzKZHkRcIiIiIiIiT4xcT2VcunQpy5cvZ9myZUydOpUpU6ZYPERERHIjLCyMrVu3Mm3aNDw8KmIymThx4gRbt26lZs2aODg44Ofnx5tvvsmtW7eM4xo1asTAgQMZPHgwnp6e+Pj48MUXX3D16lVefvll3NzcKFasGD/++KNxTGpqKr169SIoKAgnJydKlSrFtGnTjP1jx45l/vz5fP/995hMJkwmE1u2bAFuL3DVuXNnPD098fLyon379pw4ceJhXSYREXnM5Toxs7e3p3jx4g8iFhEReQJNmzaN4OBgwsPD+eOPTcTHx2NnZ0erVq2oUaMGv/zyC5999hlz5szh/ffftzh2/vz5FCxYkD179jBw4ED69u3LCy+8QJ06dThw4AAhISGEhoZy7do1ANLS0nj66adZvnw5R44cYfTo0bz11lssX74cgGHDhtGpUydatGhBfHw88fHx1KlTh2vXrvHMM8/g6urKTz/9xPbt23F1daVFixbcvHnzoV8zERF5/OQ6MRs6dCjTpk3DbDY/iHhEROQJ4+Hhgb29Pc7Ozvj4FMTX15dPP/2UgIAAZs6cSenSpenQoQPjxo1j8uTJFvc2V6pUiXfeeYcSJUowcuRInJycKFiwIOHh4ZQoUYLRo0dz4cIFDh06BICdnR3jxo2jRo0aBAUF0a1bN8LCwozEzNXVFScnJxwcHPD19cXX1xd7e3uWLl1Kvnz5+PLLL6lQoQJlypRh3rx5xMXFGSNqIiIi/0Su7zHbvn07mzdv5scff6RcuXLY2dlZ7P/222/zLDgREXkyRUdHExwcbHEfc926dUlKSuL06dMULlwYgIoVKxr7bWxs8PLyokKFCkaZj48PAOfOnTPKPv/8c7788ktOnjzJ9evXuXnzJpUrV842nv3793P8+HHc3Nwsym/cuEFMTMx991NERCRdrhOz/Pnz8+yzzz6IWERERAAwm82ZFpdKn6lxZ3nGPw6aTCaLsvS66aNsy5cv5/XXX2fy5MkEBwfj5ubGf/7zH3bv3p1tPGlpaVSrVo3Fixdn2leoUKFc9ExERCRruU7M5s2b9yDiEBGRJ5i9vT2pqanGdtmyZVmxYoVFgvbzzz/j5ubGU089dd/n2bZtG3Xq1KFfv35GWcYRr4yxAFStWpVly5bh7e2Nu7v7fZ9fRETkbu77C6bPnz/P9u3b2bFjB+fPn8/LmERE5AlTpEgRdu/ezcmT/+Pvv/+mX79+nDp1ioEDB/L777/z/fffM2bMGIYMGUK+fPf9o4vixYuzb98+1q5dyx9//MGoUaPYu3dvplgOHTrE0aNH+fvvv0lJSaFbt24ULFiQ9u3bs23bNmJjY9m6dSuvvfYap0+f/qfdFxERyX1idvXqVXr27Imfnx8NGjSgfv36+Pv706tXL2PVKxERkdwYNmwYNjY21Kr1LIUKFSIlJYUffviBPXv2UKlSJfr06UOvXr145513/tF5+vTpw3PPPUfnzp2pVasWFy5csBg9AwgPD6dUqVJUr16dQoUKsWPHDpydnfnpp58oXLgwzz33HGXKlKFnz55cv35dI2giIpIncj2VcciQIWzdupX//ve/1K1bF7i9IMigQYMYOnQon332WZ4HKSIi92/s2LHWDuGeSpYsyc6dO0lM/BV399uLdxQpUoQ9e/bc9ZisVkPM6nvF7lxF2MHBgXnz5mWalj9+/Hjj/4UKFWLdunWZ2vH19WX+/Pn36oqIiMh9yXVitmLFCr755hsaNWpklLVq1QonJyc6deqkxExERERERCSXcj2V8dq1a8byw3fy9vbWVEYREREREZH7kOvELDg4mDFjxnDjxg2j7Pr164wbN47g4OA8DU5ERERERORJkOupjFOnTqVly5Y8/fTTVKpUCZPJRFRUFI6Ojqxdu/ZBxCgiIiIiIvJYy3ViVqFCBY4dO8aiRYv4/fffMZvNdOnShW7duuHk5PQgYhQREREREXms5Tox++mnn6hTpw7h4eEW5bdu3eKnn36iQYMGeRaciIiIiIjIkyDX95g988wzXLx4MVN5QkICzzzzTJ4EJSIiIiIi8iTJdWJmNpsxmUyZyi9cuICLi0ueBCUiIiIiIvIkyfFUxueeew4Ak8lEWFgYDg4Oxr7U1FQOHTpEnTp18j5CEREREcnWxk3FaNI4xtphiMg/kOPEzMPDA7g9Yubm5max0Ie9vT21a9fOdN+ZiIiIiIiI3FuOE7N58+YBUKRIEYYNG6Zpi48A/XVMRHJi46ZiD/V8+lwSERHJvVyvyjhmzJgHEYeIiIiIiMgTK0eLf7Ro0YKff/75nvWuXLnChAkT+OSTT/5xYCIi8mRYsGABXl5eJCcnW5R37NiR7t27ExYWRocOHSz2DR48mEaNGhnbaWlpTJgwgeLFi+Pg4EDhwoX54IMPjP0jRoygZMmSODs7U7RoUUaNGkVKSsqD7JaIiEiu5Cgxe+GFF+jUqRNlypRhxIgRfP311+zYsYP9+/ezYcMGpk+fTqdOnfDz8+PgwYO0a9cuRyf/6aefaNu2Lf7+/phMJlauXGmx32w2M3bsWPz9/XFycqJRo0b89ttvFnWSk5MZOHAgBQsWxMXFhXbt2nH69GmLOpcuXSI0NBQPDw88PDwIDQ3l8uXLFnXi4uJo27YtLi4uFCxYkEGDBnHz5s0c9UNERO7fCy+8QGpqKqtWrTLK/v77b1avXs3LL7+cozZGjhzJhAkTGDVqFEeOHGHJkiX4+PgY+93c3IiIiODIkSNMmzaN2bNnM2XKlDzvi4iIyP3KUWLWq1cv/vzzT0aNGsXvv//Oq6++Sv369alRowYhISHMnj2bwoULs3//fpYuXUpAQECOTn716lUqVarEzJkzs9w/ceJEPv74Y2bOnMnevXvx9fWlWbNmXLlyxagzePBgvvvuO5YuXcr27dtJSkqiTZs2pKamGnW6du1KVFQUkZGRREZGEhUVRWhoqLE/NTWV1q1bc/XqVbZv387SpUtZsWIFQ4cOzVE/RETk/jk5OdG1a1fjXmaAxYsX8/TTT1uMit3NlStXmDZtGhMnTqRHjx4UK1aMevXq8corrxh13nnnHerUqUORIkVo27YtQ4cOZfny5Q+iOyIiIvclx/eY2dvb07VrV7p27Qrc/kLp69ev4+XlhZ2d3X2dvGXLlrRs2TLLfWazmalTp/L2228bS/XPnz8fHx8flixZwquvvkpCQgJz5sxh4cKFNG3aFIBFixYREBDAhg0bCAkJITo6msjISHbt2kWtWrUAmD17NsHBwRw9epRSpUqxbt06jhw5wqlTp/D39wdg8uTJhIWF8cEHH+Du7n5f/RMRkZwJDw+nRo0anDkzBHf3CsybN4+wsLAsvzczo+joaJKTk2nSpMld63zzzTdMnTqV48ePk5SUxK1bt/TZLiIij5Rcf8F0Og8PD3x9fe87KbuX2NhYzp49S/PmzY0yBwcHGjZsaNzvtn//flJSUizq+Pv7U758eaPOzp078fDwMJIygNq1a+Ph4WFRp3z58kZSBhASEkJycjL79++/a4zJyckkJiZaPEREJPeqVKlCpUqV+Oqr/3LgwAF+/fVXwsLCAMiXLx9ms9mi/p33h9359S1Z2bVrF126dKFly5asXr2agwcP8vbbb2u6uoiIPFLuOzF70M6ePQtgcY9A+nb6vrNnz2Jvb4+np2e2dby9vTO17+3tbVEn43k8PT2xt7c36mRl/Pjxxn1rHh4eOZ7CKSIimb3yyissXvw9c+fOpWnTpsZnaqFChYiPj7eoGxUVZfy/RIkSODk5sXHjxizb3bFjB4GBgbz99ttUr16dEiVKcPLkyQfWDxERkfvxyCZm6TJOYzGbzfec2pKxTlb176dORiNHjiQhIcF4nDp1Ktu4RETk7rp160Z8/F/Mnj2bnj17GuWNGzdm3759LFiwgGPHjjFmzBgOHz5s7Hd0dGTEiBEMHz6cBQsWEBMTw65du5gzZw4AxYsXJy4ujqVLlxITE8P06dP57rvvHnr/REREsvPIJma+vr4AmUaszp07Z4xu+fr6cvPmTS5dupRtnb/++itT++fPn7eok/E8ly5dIiUlJdNI2p0cHBxwd3e3eIiIyP1xd3enXbumuLq6WiyPHxISwqhRoxg+fDg1atTgypUrdO/e3eLYUaNGMXToUEaPHk2ZMmXo3Lkz586dA6B9+/a8/vrrDBgwgMqVK/Pzzz8zatSoh9k1ERGRe8r1F0w/LEFBQfj6+rJ+/XqqVKkCwM2bN9m6dSsTJkwAoFq1atjZ2bF+/Xo6deoEQHx8PIcPH2bixIkABAcHk5CQwJ49e6hZsyYAu3fvJiEhgTp16hh1PvjgA+Lj4/Hz8wNg3bp1ODg4UK1atYfabxGRvNakcYy1Q8ixs2f/plu3bjg4OFiUjxs3jnHjxt31uHz58vH222/z9ttvZ7l/4sSJxs+FdIMHD/7H8YqIiOSV+07Mbt68yblz50hLS7MoL1y4cI7bSEpK4vjx48Z2bGwsUVFRFChQgMKFCzN48GA+/PBDSpQoQYkSJfjwww9xdnY2Vob08PCgV69eDB06FC8vLwoUKMCwYcOoUKGCsUpjmTJlaNGiBeHh4cyaNQuA3r1706ZNG0qVKgVA8+bNKVu2LKGhofznP//h4sWLDBs2jPDwcI2CiYg8BBcvXmTdunX89NMePv88wtrhiIiIPHS5TsyOHTtGz549jRUN06Xfj3Xn94fdy759+3jmmWeM7SFDhgDQo0cPIiIiGD58ONevX6dfv35cunSJWrVqsW7dOtzc3IxjpkyZgq2tLZ06deL69es0adKEiIgIbGxsjDqLFy9m0KBBxuqN7dq1s/juNBsbG9asWUO/fv2oW7eu8Z06kyZNyt3FERGR+1K1alUuXbrEuHGDjT+aiYiIPElynZiFhYVha2vL6tWr8fPzy9F3zNxNo0aNMi2BfCeTycTYsWMZO3bsXes4OjoyY8YMZsyYcdc6BQoUYNGiRdnGUrhwYVavXn3PmEVEJO+dOHECgMTEX60biIiIiJXkOjGLiopi//79lC5d+kHEIyIiIiIi8sTJ9aqMZcuW5e+//34QsYiISB7IbiaCyJNE7wUR+TfJdWI2YcIEhg8fzpYtW7hw4QKJiYkWDxERsQ47OzsArl27ZuVIRB4N6e+F9PeGiMijLNdTGdNXO2zSpIlF+f0s/iEiInnHxsaG/PnzG9/f5ezs/I/uA7aGmzfN3Lhxw9ph5JnHrT//FmazmWvXrnHu3Dny589vsSCYiMijKteJ2ebNmx9EHCIikgd8fX0BjOTs3+bGjXM4Oj4+oxuPW3/+bfLnz2+8J0REHnW5TswaNmz4IOIQEZE8YDKZ8PPzw9vbm5SUFGuHk2s7d/UmuMx6a4eRZx63/vyb2NnZaaRMRP5V7usLpi9fvsycOXOIjo7GZDJRtmxZevbsiYeHR17HJyIi98HGxuZf+UtpWtoZHB0drR1Gnnnc+iMiIg9Orhf/2LdvH8WKFWPKlClcvHiRv//+m48//phixYpx4MCBBxGjiIiIiIjIYy3XI2avv/467dq1Y/bs2dja3j781q1bvPLKKwwePJiffvopz4MUERERERF5nOU6Mdu3b59FUgZga2vL8OHDqV69ep4GJyIiIiIi8iTI9VRGd3d34uLiMpWfOnUKNze3PAlKRERERETkSZLrxKxz58706tWLZcuWcerUKU6fPs3SpUt55ZVXePHFFx9EjCIiIiIiIo+1XE9lnDRpEiaTie7du3Pr1i3g9pK0ffv25aOPPsrzAEVERERERB53uU7M7O3tmTZtGuPHjycmJgaz2Uzx4sVxdnZ+EPGJiIiIiIg89u7re8wAnJ2dqVChQl7GIiIiIiIi8kTKUWL23HPPERERgbu7O88991y2db/99ts8CUxERERERORJkaPEzMPDA5PJZPxfRERERERE8k6OErN58+Zl+X8RERERERH553K9XH5sbCzHjh3LVH7s2DFOnDiRFzGJiIiIiIg8UXKdmIWFhfHzzz9nKt+9ezdhYWF5EZOIiIiIiMgTJdeJ2cGDB6lbt26m8tq1axMVFZUXMYmIiIiIiDxRcp2YmUwmrly5kqk8ISGB1NTUPAlKRERERETkSZLrxKx+/fqMHz/eIglLTU1l/Pjx1KtXL0+DExEREREReRLk+gumJ06cSIMGDShVqhT169cHYNu2bSQmJrJp06Y8D1BERERERORxl+sRs7Jly3Lo0CE6derEuXPnuHLlCt27d+f333+nfPnyDyJGERERERGRx1quR8wA/P39+fDDD/M6FhERERERkSdSrkfM5s2bx9dff52p/Ouvv2b+/Pl5EpSIiIiIiMiTJNeJ2UcffUTBggUzlXt7e2sUTURERERE5D7kOjE7efIkQUFBmcoDAwOJi4vLk6BERERERESeJLlOzLy9vTl06FCm8l9++QUvL688CUpERERERORJkuvErEuXLgwaNIjNmzeTmppKamoqmzZt4rXXXqNLly4PIkYREREREZHHWq5XZXz//fc5efIkTZo0wdb29uFpaWl0795d95iJiIiIiIjch1wnZvb29ixbtoz33nuPX375BScnJypUqEBgYOCDiE9EREREROSxd1/fYwZQsmRJSpYsmZexiIiIiIiIPJFynZj17Nkz2/1z586972BERERERESeRLlOzC5dumSxnZKSwuHDh7l8+TKNGzfOs8BERERERESeFLlOzL777rtMZWlpafTr14+iRYvmSVAiIiIiIiJPklwvl59lI/ny8frrrzNlypS8aE5EREREROSJkieJGUBMTAy3bt3Kq+ZERERERESeGLmeyjhkyBCLbbPZTHx8PGvWrKFHjx55FpiIiIiIiMiTIteJ2cGDBy228+XLR6FChZg8efI9V2wUERERERGRzHKdmG3evPlBxCEiIiIiIvLEyrN7zEREREREROT+5GjErEqVKphMphw1eODAgX8UkIiIiIiIyJMmR4lZhw4djP/fuHGDTz/9lLJlyxIcHAzArl27+O233+jXr98DCVJERERERORxlqPEbMyYMcb/X3nlFQYNGsR7772Xqc6pU6fyNjoREREREZEnQK7vMfv666/p3r17pvKXXnqJFStW5ElQIiIiIiIiT5JcJ2ZOTk5s3749U/n27dtxdHTMk6BERERERESeJLleLn/w4MH07duX/fv3U7t2beD2PWZz585l9OjReR6giIiIiIjI4y7Xidmbb75J0aJFmTZtGkuWLAGgTJkyRERE0KlTpzwPUERERERE5HGX68QMoFOnTkrCRERERERE8sh9JWYA+/fvJzo6GpPJRNmyZalSpUpexiUiIiIiIvLEyPXiH+fOnaNx48bUqFGDQYMGMWDAAKpVq0aTJk04f/58ngdYpEgRTCZTpkf//v0BCAsLy7Qv/d63dMnJyQwcOJCCBQvi4uJCu3btOH36tEWdS5cuERoaioeHBx4eHoSGhnL58uU874+IiIiIiEhGuU7MBg4cSGJiIr/99hsXL17k0qVLHD58mMTERAYNGpTnAe7du5f4+HjjsX79egBeeOEFo06LFi0s6vzwww8WbQwePJjvvvuOpUuXsn37dpKSkmjTpg2pqalGna5duxIVFUVkZCSRkZFERUURGhqa5/0RERERERHJKNdTGSMjI9mwYQNlypQxysqWLcsnn3xC8+bN8zQ4gEKFCllsf/TRRxQrVoyGDRsaZQ4ODvj6+mZ5fEJCAnPmzGHhwoU0bdoUgEWLFhEQEMCGDRsICQkhOjqayMhIdu3aRa1atQCYPXs2wcHBHD16lFKlSuV5v0RERERERNLlesQsLS0NOzu7TOV2dnakpaXlSVB3c/PmTRYtWkTPnj0xmUxG+ZYtW/D29qZkyZKEh4dz7tw5Y9/+/ftJSUmxSBr9/f0pX748P//8MwA7d+7Ew8PDSMoAateujYeHh1EnK8nJySQmJlo8REREREREcivXiVnjxo157bXXOHPmjFH2v//9j9dff50mTZrkaXAZrVy5ksuXLxMWFmaUtWzZksWLF7Np0yYmT57M3r17ady4McnJyQCcPXsWe3t7PD09Ldry8fHh7NmzRh1vb+9M5/P29jbqZGX8+PHGPWkeHh4EBATkQS9FRERERORJk+vEbObMmVy5coUiRYpQrFgxihcvTlBQEFeuXGHGjBkPIkbDnDlzaNmyJf7+/kZZ586dad26NeXLl6dt27b8+OOP/PHHH6xZsybbtsxms8Wo253/v1udjEaOHElCQoLxOHXq1H30SkREREREnnS5vscsICCAAwcOsH79en7//XfMZjNly5Y17t96UE6ePMmGDRv49ttvs63n5+dHYGAgx44dA8DX15ebN29y6dIli1Gzc+fOUadOHaPOX3/9lamt8+fP4+Pjc9dzOTg44ODgcD/dERERERERMeQqMbt16xaOjo5ERUXRrFkzmjVr9qDiymTevHl4e3vTunXrbOtduHCBU6dO4efnB0C1atWws7Nj/fr1xpdix8fHc/jwYSZOnAhAcHAwCQkJ7Nmzh5o1awKwe/duEhISjORNRERERETkQclVYmZra0tgYKDFMvMPQ1paGvPmzaNHjx7Y2v5fyElJSYwdO5aOHTvi5+fHiRMneOuttyhYsCDPPvssAB4eHvTq1YuhQ4fi5eVFgQIFGDZsGBUqVDBG+cqUKUOLFi0IDw9n1qxZAPTu3Zs2bdpoRUYREREREXngcn2P2TvvvMPIkSO5ePHig4gnSxs2bCAuLo6ePXtalNvY2PDrr7/Svn17SpYsSY8ePShZsiQ7d+7Ezc3NqDdlyhQ6dOhAp06dqFu3Ls7Ozvz3v//FxsbGqLN48WIqVKhA8+bNad68ORUrVmThwoUPrY8iIiIiIvLkyvU9ZtOnT+f48eP4+/sTGBiIi4uLxf4DBw7kWXDpmjdvjtlszlTu5OTE2rVr73m8o6MjM2bMyHZxkgIFCrBo0aJ/FKeIiIiIiMj9yHVi1r59+2xXKhQREREREZHcyXViNnbs2AcQhoiIiIiIyJMrx/eYXbt2jf79+/PUU0/h7e1N165d+fvvvx9kbCIiIiIiIk+EHCdmY8aMISIigtatW9OlSxfWr19P3759H2RsIiIiIiIiT4QcT2X89ttvmTNnDl26dAHgpZdeom7duqSmplqsbigiIiIiIiK5k+MRs1OnTlG/fn1ju2bNmtja2nLmzJkHEpiIiIiIiMiTIseJWWpqKvb29hZltra23Lp1K8+DEhEREREReZLkeCqj2WwmLCwMBwcHo+zGjRv06dPH4rvMvv3227yNUERERERE5DGX48SsR48emcpeeumlPA1GRERERETkSZTjxGzevHkPMg4REREREZEnVo7vMRMREREREZEHQ4mZiIiIiIiIlSkxExERERERsTIlZiIiIiIiIlamxExERERERMTKlJiJiIiIiIhYmRIzERERERERK1NiJiIiIiIiYmVKzERERERERKxMiZmIiIiIiIiVKTETERERERGxMiVmIiIiIiIiVqbETERERERExMqUmImIiIiIiFiZEjMRERERERErU2ImIiIiIiJiZUrMRERERERErEyJmYiIiIiIiJUpMRMREREREbEyJWYiIiIiIiJWpsRMRERERETEypSYiYiIiIiIWJkSMxEREREREStTYiYiIiIiImJlSsxERERERESsTImZiIiIiIiIlSkxExERERERsTIlZiIiIiIiIlamxExERERERMTKlJiJiIiIiIhYmRIzERERERERK1NiJiIiIiIiYmVKzERERERERKxMiZmIiIiIiIiVKTETERERERGxMiVmIiIiIiIiVqbETERERERExMqUmImIiIiIiFiZEjMRERERERErU2ImIiIiIiJiZUrMRERERERErEyJmYiIiIiIiJU90onZ2LFjMZlMFg9fX19jv9lsZuzYsfj7++Pk5ESjRo347bffLNpITk5m4MCBFCxYEBcXF9q1a8fp06ct6ly6dInQ0FA8PDzw8PAgNDSUy5cvP4wuioiIiIiIPNqJGUC5cuWIj483Hr/++quxb+LEiXz88cfMnDmTvXv34uvrS7Nmzbhy5YpRZ/DgwXz33XcsXbqU7du3k5SURJs2bUhNTTXqdO3alaioKCIjI4mMjCQqKorQ0NCH2k8REREREXly2Vo7gHuxtbW1GCVLZzabmTp1Km+//TbPPfccAPPnz8fHx4clS5bw6quvkpCQwJw5c1i4cCFNmzYFYNGiRQQEBLBhwwZCQkKIjo4mMjKSXbt2UatWLQBmz55NcHAwR48epVSpUg+vsyIiIiIi8kR65EfMjh07hr+/P0FBQXTp0oU///wTgNjYWM6ePUvz5s2Nug4ODjRs2JCff/4ZgP3795OSkmJRx9/fn/Llyxt1du7ciYeHh5GUAdSuXRsPDw+jzt0kJyeTmJho8RAREREREcmtRzoxq1WrFgsWLGDt2rXMnj2bs2fPUqdOHS5cuMDZs2cB8PHxsTjGx8fH2Hf27Fns7e3x9PTMto63t3emc3t7ext17mb8+PHGfWkeHh4EBATcd19FREREROTJ9UgnZi1btqRjx45UqFCBpk2bsmbNGuD2lMV0JpPJ4hiz2ZypLKOMdbKqn5N2Ro4cSUJCgvE4derUPfskIiIiIiKS0SOdmGXk4uJChQoVOHbsmHHfWcZRrXPnzhmjaL6+vty8eZNLly5lW+evv/7KdK7z589nGo3LyMHBAXd3d4uHiIiIiIhIbv2rErPk5GSio6Px8/MjKCgIX19f1q9fb+y/efMmW7dupU6dOgBUq1YNOzs7izrx8fEcPnzYqBMcHExCQgJ79uwx6uzevZuEhASjjoiIiIiIyIP0SK/KOGzYMNq2bUvhwoU5d+4c77//PomJifTo0QOTycTgwYP58MMPKVGiBCVKlODDDz/E2dmZrl27AuDh4UGvXr0YOnQoXl5eFChQgGHDhhlTIwHKlClDixYtCA8PZ9asWQD07t2bNm3aaEVGERERERF5KB7pxOz06dO8+OKL/P333xQqVIjatWuza9cuAgMDARg+fDjXr1+nX79+XLp0iVq1arFu3Trc3NyMNqZMmYKtrS2dOnXi+vXrNGnShIiICGxsbIw6ixcvZtCgQcbqje3atWPmzJkPt7MiIiIiIvLEeqQTs6VLl2a732QyMXbsWMaOHXvXOo6OjsyYMYMZM2bctU6BAgVYtGjR/YYpIiIiIiLyj/yr7jETERERERF5HCkxExERERGRPLVxUzFrh/Cvo8RMRERERETEypSYiYiIiIiIWJkSMxEREREREStTYiYiIiIiImJlSsxERERERESsTImZiIiIiIiIlSkxExERERERsTIlZiIiIiIiItl4GN/LpsRMRERERETEypSYiYiIiIiIWJkSMxEREREREStTYiYiIiIiImJlSsxERERERESsTImZiIiIiIiIlSkxEwsPYylQERERERGxpMRMRERERETEypSYiYiIiIiIWJkSMxEREREREStTYiYiIiIiImJlSsxERERERESsTImZiIiIiIiIlSkxExERERERsTIlZiIiIiIiIlamxExERERERMTKlJiJiIiIiIhYmRIzERERERERK1NiJiIiIiIiYmVKzEREREREJFuTO7exdgiPPSVmIiIiIiIiVqbETERERERExMqUmImIiIiIiFiZEjMRERGRf6nH7b6fx60/IrmhxExERERERMTKlJiJiIiIiIhYmRIzERERERERK1NiJiIiIiIiYmVKzERE5LG2cVMxa4cgIiJyT0rMRERERERErEyJmYiIiIiIiJUpMRMREbEyTbcUERElZiIiIiIiIlamxExERERERMTKlJiJiIiIiIhYmRIzERGR/9femYdFVfb//z3DjgoiKEogmIoLWJJaabmluWVG5ZKoqahlbrnnY5vL45a7ZfRUouWapvQ8lVrmgpm5pGJu5YKYqajlvqHg5/dHX+bHyMxwznAPM4zv13VxFXNu7nNe3u+ZuT9z5tyHEEIIcTIszAghhBBCCCHEybAwI4QQQgghhBAnw8KMEEIIIYQQQpwMCzNCCCGEEEIIcTIszAghhBBCCCHEybAwI4QQQgghhBAnw8KMEEIIIYQQQpyMSxdmkyZNQr169VCqVCmUK1cO8fHx+P33383a9OjRAwaDwezn8ccfN2uTlZWFgQMHIiQkBCVKlEC7du3w559/mrW5ePEiunXrhsDAQAQGBqJbt264dOmSoxUJIYQQQgghxLULs9TUVPTv3x/btm3DunXrkJ2djRYtWuD69etm7Vq1aoUzZ86YflavXm22ffDgwUhJScGyZcuwZcsWXLt2DW3btkVOTo6pTUJCAtLS0rB27VqsXbsWaWlp6NatW5F4EkIIIYQQQu5vPJ19ALZYu3at2e/z589HuXLlsGvXLjRq1Mj0uI+PD8qXL2+xj8uXL2PevHlYuHAhmjdvDgBYtGgRIiIi8MMPP6Bly5Y4dOgQ1q5di23btuGxxx4DAHzyySeoX78+fv/9d1SrVs1BhsQe1m+ojGZPHXP2YRBCCCGEEKIMlz5jdi+XL18GAJQpU8bs8U2bNqFcuXKIjo5Gnz59cO7cOdO2Xbt24c6dO2jRooXpsbCwMMTGxmLr1q0AgJ9//hmBgYGmogwAHn/8cQQGBpraWCIrKwtXrlwx+yGEEEIIIYQQvRSbwkxEMHToUDz55JOIjY01Pd66dWssXrwYGzZswPTp07Fz50489dRTyMrKAgBkZmbC29sbQUFBZv2FhoYiMzPT1KZcuXL59lmuXDlTG0tMmjTJdE1aYGAgIiIiVKgSQgghhBBC7jOKTWE2YMAA/Prrr1i6dKnZ4506dcIzzzyD2NhYPPvss1izZg0OHz6Mb7/91mZ/IgKDwWD6Pe//W2tzL//6179w+fJl08/Jkyd1WhVf1m+o7OxDcBv4b0kIIYQQQopFYTZw4ED873//w8aNGxEeHm6zbYUKFRAZGYkjR44AAMqXL4/bt2/j4sWLZu3OnTuH0NBQU5uzZ8/m6+v8+fOmNpbw8fFBQECA2Q8hhBBCCCGE6MWlCzMRwYABA7Bq1Sps2LABlSpVKvBv/v77b5w8eRIVKlQAANSpUwdeXl5Yt26dqc2ZM2ewf/9+NGjQAABQv359XL58GTt27DC12b59Oy5fvmxqQwghhBBCCCG2KMw3oVx6Vcb+/ftjyZIl+O9//4tSpUqZrvcKDAyEn58frl27hjFjxuDFF19EhQoVkJGRgdGjRyMkJATPP/+8qW2vXr0wbNgwBAcHo0yZMhg+fDhq1aplWqWxRo0aaNWqFfr06YP//Oc/AIBXXnkFbdu25YqMhBBCCCGEEIfj0oVZUlISAKBJkyZmj8+fPx89evSAh4cH9u3bh88//xyXLl1ChQoV0LRpU3zxxRcoVaqUqf3MmTPh6emJjh074ubNm2jWrBkWLFgADw8PU5vFixdj0KBBptUb27Vrhw8++MDxkoQQQgghhJD7HpcuzETE5nY/Pz989913Bfbj6+uL999/H++//77VNmXKlMGiRYt0HyMhhBBCCCGEFBaXvsaMEEIIcTZRo2yv8ksIIYSogIUZIYQQQgghxQjeasc9YWFGCCGEEEIIIU6GhRkhhBBCCCGEOBkWZoQQQgghhBDiZFiYEUIIIYQQQoiTYWFGCCGEEEIIIU6GhRkhhBBCCHFruIohKQ6wMCOEEEIIIYQQJ8PCjBBCCCGEEHJfMb1TW2cfQj5YmBFCCCHEKfDrZYQQ8v9hYUYIIYQQogAWmoSQwsDCjBBCihBO3AghhBBiCRZmhBBCCCGEEOJkWJgRQgghhBBCiJNhYUYIIcWIqFHfOvsQCCGEEOIAWJgRQgghhBBCiJNhYUYIIYQQQgghToaFGSGEEEIIIYQ4GRZmhBBCCCGkWMJbkBB3goUZIYQQQgghhDgZFmaEEEIIIYQQ4mRYmBFCCCFEKfx6GSGE6IeFGSGEEKKY6Z3aOvsQCCGEFDNYmBFCCCGEEEKIk2FhRgghhBCb8AwgIYQ4HhZmhBBCCHhdFCGEEOfCwowQQgi5j2FBSgghrgELM0IIuU/gBJwQQghxXViYEUIIIYQQQoiTYWFGCCGEEOICRI361tmHQAhxIizMCCHECvzqHyGEEEKKChZmhBBCCCHEbvghFiFqYGFGCCGEkHzwa3XuCYsoQlwXFmaEEEIIcRtYeBBCiisszAghhBBCCCHEybAwI4S4NPz0mxBCCCH3AyzMCCGEEEIIIcTJsDBzQXiGgFiCuSCEEEIIKZjiOmdiYUYIIYQQQohOiuvkn7guLMwIIYQQQgghxMmwMCNEAbzfD1GNu30S624+hBBCiGpYmBFCnAIn6oQQQgjRg7vPHViYEQL3f6Jb4371JrZhLgghhLgrtT6r5exDsAoLM0J0wAkrIaS4wNcr4mrcT5l05ck/cV1YmBFCCCGEEEKIk2FhRgghhBBCnArPMBHCwow4mDFjxjj7EAghhBBCCHF5WJgRpXDZeEIIIcQ299O1Vlrg3IGQf2BhRgghRBOcPBFCnM6YQGcfASEOg4UZIYQQQgghhDgZFmaEEEIIIf8HzwwTZzC9U1uH9MuvzRYeR42NJViY3cOHH36ISpUqwdfXF3Xq1MGPP/7o7EMihBDihnAVOqKKP0dxrkKIO8DCLA9ffPEFBg8ejDfffBN79uxBw4YN0bp1a/zxxx/OPjRCrMJPd8n9QNSob1nI3Ec4+nXtvipkNF6TxfeS+w++proeLMzyMGPGDPTq1Qu9e/dGjRo1MGvWLERERCApKalI9l+Up0oJUYEz38gdtW++UZGC4G1ASHGDr2vOw90+BHBlH3fIuaezD8BVuH37Nnbt2oVRo0aZPd6iRQts3brV4t9kZWUhKyvL9Pvly5cBAFeuXEHsu99h/9iWuo7h1p07uHLlCq5fv4srV64U2N5aO3v2XVCfWtvdzbph9nhWVpam/lTs25W8ue/iu++cmzmmbcyaa+0779gU9b71vq5peT3XkrXCUFCfHw9OxSuzGmvyzvVRte+C2jk6a1ezrtvcd82PamJbwjaH7NtWO3u8b925Y9MHWaIpa67y/C4wa1kC5Nle2H3n8nuduqi265cC+9HaZ66PzbEB8PiSx7EtYVuRP8fyHqNWCswa/r+PnmMsiLxjo+I1VXPW/o/CzM9z/ysiBf4dABhEa0s35/Tp03jggQfw008/oUGDBqbHJ06ciM8++wy///57vr8ZM2YMxo4dW5SHSQghhBBCCClGnDx5EuHh4QW24xmzezAYDGa/i0i+x3L517/+haFDh5p+v3v3Li5cuIDg4GDT31y5cgURERE4efIkAgICrO5XdTvum/vmvrlv7pv75r65b+6b++a+nbdvEcHVq1cRFhZm83hyYWH2f4SEhMDDwwOZmZlmj587dw6hoaEW/8bHxwc+Pj5mj5UuXdpi24CAgAJD4oh23Df3zX1z39w39819c9/cN/fNfTtn34GB2m+KzsU//g9vb2/UqVMH69atM3t83bp1Zl9tJIQQQgghhBDV8IxZHoYOHYpu3bqhbt26qF+/Pj7++GP88ccf6Nu3r7MPjRBCCCGEEOLGsDDLQ6dOnfD3339j3LhxOHPmDGJjY7F69WpERkba3aePjw/efffdfF95dHQ77pv75r65b+6b++a+uW/um/vmvl1r37bgqoyEEEIIIYQQ4mR4jRkhhBBCCCGEOBkWZoQQQgghhBDiZFiYEUIIIYQQQoiTYWFGCCGEEEIIIU6GhRkhhBBCCCGEOBkul6+Qy5cvIyUlBT/++CMyMjJw48YNlC1bFnFxcWjZsqXpRtVa2+Vy8uRJs3YxMTH5luPU2ufvv/+OpUuXWm334osvwsfHR9cxqvbR059qH70uKn20ujBrzBqzxqwxa8was8asMWuunzW9cLl8BZw5cwbvvPMOFi9ejPLly+PRRx/FAw88AD8/P1y4cAH79+/Hrl27EBYWhooVK+Lnn3+22S4yMhL9+vXDqVOnsHTpUpw8eRJ5h8nb2xsNGzbEK6+8ggYNGmDMmDEF7js0NBQlS5bE4cOH0aBBA4vtfvzxR1y6dAlVq1bF/v37CzzGQYMGYdeuXQXuW6tPhw4dsGPHDixZsqTA/l5++WWsX78eP/74oxIfPWPz7rvv4vHHH8dHH32kxEfr2Fy5cgV9+/bFmTNnsGzZMmaNWWPWmDVmjVlj1pg1Zs0FszZy5EgMHjxYf4EmpNCULVtWhg0bJvv27bPa5saNGxIQECDly5eXYcOG2WzXsmVLMRqNUqtWLfnss8/k0KFDcuXKFblz546cPXtW1q9fL2PGjJFq1aqJh4eHdOnSpcB9h4SESGRkpIwdO9amS+nSpSU6OloGDRpks78lS5aIp6enNGrUqMB9a/Xx8PCQ4OBgWbp0aYH79vb2lvj4ePn777+V+GgdmyVLlkhoaKj4+PjIiy++qMRH69hs3bpVfHx85Mknn2TWCunDrDFrlvpj1pi1wvowa8was2a+7/s1ax06dJAJEybYbGcJFmYKOHfunK52BbUfPny4nDt3TlO/S5YskRUrVhTYLisrS9O+c7fnti+orZZj1Opz7tw5+fbbbzX7aNm3Vh+tYyPyj8/Bgwc17VuLj9axyW2jdWy09MmsMWu2+mTWrMOsMWu2jpFZsw6zZhtmzT2ylre9HliYFRHZ2dmSkpKirJ0eMjMzC6zuRUT++usvmTlzZoHt9Byjah+tLiLqfYrD2Ii4lw+zpg5mzTbMmjqYNdswa+pg1mzDrKnDEVmzBAszB3Po0CEZMWKElCtXTry8vArdTkTkwoULMmfOHHn44Yc1HUNaWpoYjUaL2+7evStr166VDh06iLe3t4SEhCg5Rkf52HIRcYyPHhcRdT56XPQcJ7PGrBXGRc9xMmvMWmFc9Bwns8asFcZFz3Eya8xaYVwKgoWZA7h27ZrMmzdPGjRoIEajUZo1ayaffPKJnD9/3q52uaxbt05eeukl8fX1lfDwcJvfw82LpTAdP35c3n77bYmIiBCj0SjdunWTdevWSXZ2tt3HWBQ+1p4Yqn30uqj00eriSB9mjVm7F2aNWWPW9Pswa8was2bO/Zo1rbAwU8jWrVslMTFRSpYsKXFxcTJt2jTx8PCQAwcO2NVOROTEiRMyZswYiYyMlODgYDEajfLll1/qOq7cMN26dUuWLFkiTz31lPj6+srzzz8vK1asEE9Pz0IdY1H65H1iOMJHj4tKHz0ujvJh1iy7iDBrzBqzxqwxa8was8as6c+aXliYKaJGjRoSGRkp//rXv8wG5t6B0truiy++kKefflr8/f2lffv28tVXX0lWVpZdA58bpuDgYGnYsKH85z//kQsXLhT6GJ3hk/eJrtpHj7dqH60ujvBh1my7iDBrzJpjfZg1Zo1ZY9bs8WHWXDtr9sAbTCvi6NGjeOmll9C0aVPUqFGj0O0SEhIwcuRIrFy5EqVKlbK576FDh9rcfv78eQBATk4ODAYDDAYDPDw8Cn2Metpq9dHqAqj30eOt2keri57jZNaYtbwwa8was2YZZo1ZK0w7Zs22C3D/Zs0eWJgp4vjx41iwYAFee+013Lx5E507d0aXLl1gMBjsapeYmIgPP/wQqamp6NatGzp16oSgoCCL+96zZ0+Bx9eoUSOsWbMGK1euxLx58/D666+jdevW6Nq1q93H6AgfrS7APzf2Vumjx1u1j9axcYQPs2bbBWDWmDVmzR4fZo1ZY9Yc68OsuXbW7KLQ59xIPtavXy9dunQRPz8/MRgMMmLECPn99991t7tx44YsWLBAGjVqJD4+PtKuXTvx8PCweYNArRw9elTefPNNCQ8PF4PBIAkJCfL999/nu2BRq4u7+Whp5ygfrS4qfYrT2LibD7PmumPjbj7MmuuOjbv5MGuuOzbu5lNcsqYVFmYO5NKlSzJ37lypU6eOGAwGqVWrlt3tDh8+LKNGjZKwsDAJCAiQzp07y8qVKwt9jDk5ObJ69Wp58cUXxdvbW4KDgwvl4m4+Wts5wkeri2qf4jI27ubDrLnu2LibD7PmumPjbj7MmuuOjbv5FJesFYRBRETNuTdii7S0NCQnJ2POnDkFtnv//fcxb948i9vv3r2Lb7/9FvPmzcOaNWuQlZVV4Pdic5kxY4bN7efPn8fChQsL7E+rS25bPT79+/cvsE+gYBdAvU9BLoDjfLS65B4ns5YfZu0fmDXrx8isWYZZ+wdmzfoxMmv5Ydb+gVnTBwszF+LWrVv48MMP8d577yEzM7PA9ufOnUO5cuXQtGnTAtsaDAZs2LBBxWFqxh6fTp06FdiuOLgA7uXDrBUdzBqzVlQwa8xaUcGsMWtFRXHPGhf/UMRTTz1VYBuDwYA1a9Zg7Nix+P777+Hl5YWRI0ciPj4e8+fPx5tvvgmDwYDXX38du3btwvDhw/Hf//4XAQEBZv1cvnwZ8fHxmD17NsqVK4eNGzdqOsYHH3xQU7uoqChNLuvXr8ft27eV+mh1cYSP1rEBoNxHq0t6ejqzxqwVyodZs+3CrDFrhfVh1pg1Sy7Mmjqf4pI1e+AZM0UYjUZERkbimWeegZeXl9V2fn5+mDt3Lp5++mn89NNP+Ouvv5CYmIhNmzZh9OjRSEhIgJeXFxISElCjRg28/fbbFvuZMGECDh06hEWLFuk+xoSEBJQrV85quyFDhmhymTlzJkaPHu02PlrHBoByH60ur7/+OrPmBj7MmuuODbPGrBXWh1lj1grjoseHWXPtrNkDCzNFvPfee1iwYAH+/vtvdOnSBYmJiYiNjc3XrkqVKpg6dSqef/557N27F3FxcejUqRMWLlwIT8//fwKzcuXKSElJwUMPPWRxf/v27cNzzz2H9PR0jBs3TtMxVq9eHfPnz8emTZvQunVrJCYmok2bNjAajXa5OMKnR48emlzeeecdLF++XKmPVhdH+GgdG0f4MGu2YdaYNWbNPh9mjVlj1pi1+zlrdlGoZUhIPrZu3Sq9e/eWgIAAqVevniQlJcnly5dN2729veXkyZOm3318fGTPnj35+vHx8ZH09HSr+0lPTxdfX18RETEYDPLAAw9IXFyc1K5d2+JPXFyc6W///PNP+fe//y1VqlSRChUqyBtvvCGHDx/W7eIIH70uKn20ujjSR6uLSh9mjVlj1pg1R/owa8xaUfkwa8xaUfnoyZoeWJg5iOvXr8uCBQukXr16UqJECVOgDAaDnD171tSuZMmSFgMTHh4ua9assdr/6tWrJTw8XEREWrduLb6+vvLcc8/Jf//7X133T9i0aZM0adJEjEajXLhwQZeLI3wK41JYH60uReWjxUWFD7PGrDFrzFpR+TBrzFpR+TBrzFpR+WjNmhb4VUYHsWXLFiQnJ2PFihWIiYnBxo0b4efnB6PRiFdeeQX+/v4AgLlz56Jr164IDAw0+/uLFy/i6NGj+PHHH/P1LSJo1KgRqlSpgvnz5wP4567qCxYswIIFC3DlyhW8/PLLSExMRLVq1Swe361bt/Dll18iOTkZ27ZtQ7t27fDZZ5/Bx8dHswsAh/jodVHlo9VlxowZ6Nmzp8N89Lio8GHWmDVmjVlj1pg1Zo1Z0+vDrOnLmhZYmCnk9OnTZgPatWtXJCYmombNmqY2TZo0gcFgsNmPwWDAJ598gjp16qBatWoYNmwYqlWrBoPBgEOHDmH69Ok4fPgwfvnlF1SpUiXf32/evBnz58/HypUrUatWLfzwww+mJ+b27dsxb948fPHFF6hcuTISExPRpUsXBAUF6XYpCh9bLqp9tLps2LABx44dU+6j1UW1D7NWsItqH2aNWWPWmLWi8GHWmLWi8mHWLGdNN4U630ZM5J4CbdeunXz11Vdy586dQve5c+dOiYmJEYPBIEajUYxGoxgMBomJiZEdO3ZY/bsbN27IZ599Jo8++qj4+fmZTv3WrFlTQkJCZNCgQbJ3794idbHXx5qLu/lodXGUD7PGrBWVD7PGrBWVD7PGrBWVD7PGrKmCZ8wUYTQaUaFCBZQrV85mFb979+4C+9q5cyfq1atn+n3Pnj04evQoRATR0dGoXbu2xb/7+eefkZycjOXLlyM6Oho9e/ZEQkICSpcubTrGEiVKwNPT0+YxXrp0SZmLvT4FuTjL514XVT5aXS5cuMCsKfZh1izDrKn3YdYsw6yp92HWLMOsqfdh1ixz4cKFAo/RErzBtCLeffddXe2vXbsGDw8Ps9O8aWlpePvtt7F69Wrk5OSYHo+Li0NcXJzVvt577z3Mnz/ftLzoli1bUKtWrXztcr/fXBAZGRnaRf4PVT5aXQDH+ehxAdT4aHUBmDVmjVnLC7OmDWaNWbsXZk0bzBqzlhc9WbMHnjErYv7880906tQJ27Ztg4eHBwYMGIB///vf6Nu3L5YuXYrnnnsOw4YNw4oVKzT1N2PGDBiNRlSsWBFt27aFt7e3zbaqUe0za9Ysl3epX78+hg4dqqnP4uDDrLmuC7PmHj7FYWyYNffwKQ5jw6y5h09xGJvikrW8sDArYrp27Yp9+/ahT58+WLlyJTZv3ozatWvj4Ycfxttvv41KlSoBAJo2bVpgX7kXNuq5CFI1qn3u3r3r8i6Ae/kwa7bbMWsFw6zZPsbiMDaAe/kwa7bbMWsFw6zZPsbiMDZA8fAx2wcLMzXExcUVOKAAcPbsWSxfvhxPPPEEMjMzERYWhokTJ2LUqFEOP8agoCBNxxgZGamp3e7du/HAAw+4jU9xGJsLFy4wa27gUxzGhllzD5/iMDbMmnv4FIexYdbcw6c4jA2vMXMy8fHxmtqNGzcOlStXBgCUL18efn5+eO655+zap6ULGwHgr7/+gsFgQHBwsNnjs2bN0tSvnu/4ZmZmOtTHmgug3kfl2AD6fLS6AMwawKzdC7NWMMwas3YvzNosTf0ya8zavTBrDkT5Oo/EJkajUc6dO2f63dbdykVErl69Kjdu3DB7bM+ePdK2bVsxGo2mxy5evCj9+vWT4OBg01KgwcHB0r9/f7l48aJyj1wc4VNcXETcy4dZc10XEffyYdZc10XEvXyYNdd1EXEvH2bNdV1EXNsnLzxjVsSICJo1awZPz3/+6W/evIlnn30234WG//vf/wq8sHHLli0A/jldWr9+fZw6dQpdunRBjRo1ICI4dOgQFixYgPXr12Pr1q0Wb3x369YtfPHFF7h+/TqefvppVK1a1ak+hXEprI9Wl927d2u68LSwPq42NgCzpsqHWWPWmDXXGBuAWVPlw6wxa8yafWOTF15jpgit31nWeqr1yJEjmi9sHDx4MNavX48ffvgBoaGhZv1kZmaiRYsWpgDfvn0bs2fPBgDcvn0bjz32GA4cOAB/f39kZ2dj3bp16Nevn+bvLI8dO1apj1aXmTNnYsSIEUp9tI7Nu+++q/nCU9VjU79+fWZNkQ+zxqxZgllj1grrw6zZhllj1u6XrNkDCzNF5A28iGDSpEno27cvypQpY9ZO6/0z9FykGRUVhf/85z9o2bKlxb7Wrl2Lvn37omTJkpg4cSLatWsH4J97MQwbNgx79uxBxYoVkZiYiHPnzuHRRx9V6qLHR6tLRkYGYmNj3cZH69h8++23zJoiH2aNWXO1sWHW1Pkwa8was6bfRY8Ps1Zw1uxC+ZcjiYj8833XY8eO2Wyzd+9eWbFihXz55Zeyd+9es21Go1HOnDlj+t3f318OHjxosR9vb285efKk1f2cPHlSfHx8pFSpUnLkyBHT4y+99JL06dPH9PuePXukQoUKdrmo8tHqIiIO9bHl4ggfe11U+DBrtl1EmDVVPsyabRcRZk2VD7Nm20WEWVPlw6zZdhFh1vRgtK+cI4Vhx44dqFWrFuLi4tCxY0d06NABcXFxeOihh7Bz505TOw8PD9P/G41G+Pr6WuwvJCTE5ko2x48fR3BwMIxGIyTPCdJt27bh8ccfN/1eunRpXLx40ak+Wl1y+1Dto9VFtU9xGBt382HW1Lno8WHWrLvk9sGsqfFh1qy75PbBrKnxYdasu+T2waxpxO6SjtjEWpV/4MABKVmypNSrV0+WLFkie/bskd27d8vixYulbt26UqpUKTlw4IAYDAapVauWxMXFSVxcnHh4eEhMTIzp99wfEZHExERp1KiRZGVl5dvfrVu3pHHjxpKYmCiPPfaYTJ8+XURE9u/fL0aj0WwVm02bNklkZKRmF0f4aHUREeU+Wl1ERLmPvS4qfJg1Zo1Zc6wPs8asMWvMmgizpsqnuGZNC7zGzEGUKlUKe/fuxYMPPmj2eIcOHZCTk4OVK1fmu8BRRPDCCy/Ay8sLMTExmvbz7rvv4s8//0TdunXh4+OD/v37o3r16gCAgwcP4sMPP0RWVhZ++eUX7NixA507d0bDhg1x4MAB1KtXD19//bWprzfeeAPHjx/H8uXLNbk4wqdXr16aXCIiIrBy5UqlPlpdli9frvkiWq0+9o6NCh9mjVlj1sxh1tT4MGu2XRzhw6wxa8ya62ZNCyzMFDFnzhyz39944w2MGDECISEhZo+PHz8ea9asQd26dS32s3PnTrRp0wbnz5/Xtf/jx4+jX79++P77702nWA0GA55++ml88MEHqFKlCgDghx9+wLfffovy5ctj4MCB8Pf3N/UxduxYNG7cGL/++qsml0GDBqFs2bLKfbS6qPYpDmPTpEkTZo1ZK7QPs8asFcZFjw+zxqwVxkWPD7PGrBXGRY+P1qzZAwszReRdDtUaBoMBp0+fxpEjRxAREWGxzcmTJ1G1alXcunXL9Nivv/6Kw4cPw2AwoGrVqnjooYes7uPixYs4cuQIAKBKlSr5VrLRglaX9PR0+Pr6OsxHhQvg2LEB3MuHWXPdsQHcy4dZc92xAdzLh1lz3bEB3MuHWXPdsQGK3sceeINpRRw/flxTu+rVq2PHjh1Ww7R9+3ZERkYC+OfCxl69euHgwYNmlXtMTAzmzZuHevXq5fv7oKAgs+VG83LvJxHW0OoC/LO8qKN8bLkA6n30jA2g1kery0MPPcSsMWsAmLVcmDXbMGvMmjWYNdswa8yaJfRkzR5YmBUxnTp1wtChQ1GtWjXExsaabdu3bx+GDx+O7t274+DBg2jWrBlq1KiBRYsWmd2BfObMmWjWrBm2bduGmjVrIjExUdO+FyxYAIPBAEsnSXMfNxgMyMnJcZrPtGnTNO03OTkZtWvXVuqj1QWAcp/iMDbMGrNWWB9mzTbMmjofZs02zJo6H2bNNsyaPvhVRkVs2LABAwYMwLZt2xAQEGC27fLly2jQoAGSkpLw6KOPolmzZti+fTuefvpp1KhRA8A/wfnhhx/w6KOPYsOGDejWrZvmCxuNRiMiIyMRFxdnMSi5zJo1S5PLsWPHNLk0atQIt27dUurz5ZdfanJJSUnBiRMnlPpoHRtfX1/NF55q9dE6NpGRkcwas1YoH2aNWbPkwqwxa4X1YdaYNUvcz1mzCyFKePbZZ2XGjBlWt8+ePVvi4+NFRCQrK0smT54sDz/8sPj5+Ymfn588/PDDMmnSJLl165aIiISEhMjOnTut9rdjxw4JCQkREZHXXntNgoKC5OGHH5bZs2fL33//XWQuqn1Uu+j10eLibj7MmuuOjbv5MGuuOzbu5sOsue7YuJsPs+a6Y+NsH3tgYaaIihUrWr3Tu4jIoUOHJCIiQlJTU+XOnTsF9ufj4yN//PGH1e1//PGH6Y7qIv/cY2HJkiXSvHlz8ff3lw4dOsjatWvl7t27mh1WrlwptWrV0uwiIg7xUeFij49WF2f45LqIMGsqfZg16y4izJpKH2bNuosIs6bSh1mz7iLCrKn0Ydasu9gLCzNF+Pj4yJEjR6xuP3LkiPj6+orRaJSzZ88W2F+1atXkyy+/tLp9xYoVEh0dbXFbRkaGjBkzRh588EGJiIiQq1evmrZ9/PHH0r59e+ncubNs27ZNRETWr18vtWvXFj8/P3nllVc0u4iIw31suaj20eriKB8tLiLMmqN8mDVmjVlj1lT4MGsFw6yp8WHWCsaZWbMHFmaKePDBB2XVqlVWt69cuVIqVaokBoNBU5jeeecdqVixouzbty/ftl9//VUiIyPlnXfesfi3J06ckLFjx0qlSpXkgQceMIVp6tSp4uXlJXXq1BF/f3/x9/eXCRMmSHBwsIwZM0bOnz+vy0VEHO5jzcURPlpdHOGj1cURPsyabRdH+DBrzBqzxqyJMGvMGrPmzlmzBxZmihgwYIDExsbKzZs38227ceOGxMbGysCBA8VgMMi5c+cK7O/mzZvSoEED8fDwkFatWsmQIUNkyJAh0rJlS/Hw8JD69eub7Svv6VdfX19p3769fPvtt5KTk2NqU716dZk3b56IiGzcuFEMBoM0a9ZMLl68aJeLiDjER4uLI3y0ujjCR6uLI3yYNWaNWWPWHOHDrDFrReXDrDFrReWjJ2v2wFUZFXH27Fk88sgj8PDwwIABA1CtWjUYDAYcOnQIc+fORU5ODnbv3o0KFSrglVdeMbtLuCVmzJiB27dvY+bMmVi6dCkOHz4MAIiOjsZLL72EIUOGwMfHBwDQr18/LFu2DBUrVkTPnj3RtWtXBAcH5+vT398fv/32GypWrAgA8PHxwebNm/HYY4/Z5RIaGgqj0ajUR6uLI3z0jA0ApT5aXRzlw6wxa8waswYwa8was8asMWuqsmYPLMwUcuLECbz22mv47rvvzG5g17JlS3z44YeIioqC0WhE/fr14e3tbbUfg8GADRs22NzXyZMn8e677yI5ORlGoxEVK1ZEXFxcvqVA8/LVV18hMzMT5cqVAwCUKlUKe/fuxYMPPmiXCwDlPgsWLNDksmrVKhiNRqU+qlzs8dEzNkXtw6wxa8xa4XyYNWbNkgvArKnyYdaYNXtc7PHRmzW98AbTComMjMTq1atx8eJFHD16FCKCqlWrIigoyKxdSkqKaUDt5cKFC/jss8+QnJyMl19+2WaI8vLpp5+iZMmSAIDs7GwsWLAAISEhZm0GDRqk2UW1jx4XR/iocLHXR6sLwKyp8GHWmDVmzfE+zBqzVlQ+zBqzVlQ+erKmF54xK2I8PDxw5syZQodp7969eOSRR3TdWTwqKqrA0BkMBqSnp2vu0518VLkA+n04NgXjTj7MmmVcYWwA9/Jh1izjCmMDuJcPs2YZVxgbwL183C1reeEZsyLGmXVwRkaG8j7dycedXAD6qIRZsw191MGs2YY+6mDWbEMfdTBr2jE6tHeSj/nz5yMwMNDZh6EMd/JxJxeAPq6MO7kA9HFl3MkFoI8r404uAH1cGXdyuRd+ldFJrFixwrQ6jMFgQNWqVZGQkID27dsDAF544QWbf3/p0iWkpqbqOpU8btw4i48HBgaiWrVqaNGiBYxG+2p1d/IpyAVQ78Ox0Y47+TBr5rjS2ADu5cOsmeNKYwO4lw+zZo4rjQ3gXj7uljWAhVmRc/fuXXTu3BkrVqxAdHQ0qlevDhHBb7/9hqNHj6JDhw5YunQpEhMTNfU3f/58zfuOi4uz+PilS5dw6tQpxMTE4LvvvtP1nV138tHqYjAY0LNnT6U+HJuCcScfZk2NC0AfVS7MWsHQR40Ls1Yw9FHjUlyyZkZhboJG9JGamir//ve/pUyZMvL111/n2/7f//5XypQpIzNnzizyYzt9+rQ0adJEevXqpal9amqqXLp0SaZPn+42Pu4yNiLu5cOsFR3MGrNWVDBrzFpRwawxa0WFPVm7FxZmRYjBYBAPDw/p2LGj1TaffvqpxMbGKt937hPTFlu2bJFKlSpp6s9gMEiZMmWkQoUKpjugW8IRPlpcRPT7uMvYiLiXD7OmDmbNNsyaOpg12zBr6mDWbMOsqcMRWbsXFmZFSEZGhnh7e8trr71ms42vr6/yfec+MadNm2a1zfHjx6VEiRKa+svIyJCNGzeKp6ennDhxwmY71T5aXET0+7jL2Ii4lw+zpg5mzTbMmjqYNdswa+pg1mzDrKnDEVm7F67KWIRERkaiRIkS6Nu3r9U2V65cgZ+fn/J9Hz9+HCtXrsRff/1ltc3evXtNd4gviMjISDRp0gSlSpXCpUuXrLZzhI8WF0C/j7uMDeBePsyaOpg12zBr6mDWbMOsqYNZsw2zpg5HZO1eeB8zB3DixAlkZmbCYDAgNDQUkZGRpm3169dHUlISkpKSLP7t3LlzUb9+feXHFBkZiaCgIDzyyCO4cuWK2bbLly9j586dGDZsGHr37q3ZBXCOT2RkJCIjIy26APb7FLexAdzLh1lzrAvArGlxAZg1FTBrBbsAzJoKmLWCXQBmTQWFyZpm7D7XRvIxY8YMCQ8PF6PRKAaDQQwGgxiNRgkPDzddhPjTTz+Jl5eXdOjQQbZv3y6XL1+WS5cuyc8//yzt27cXLy8v2bJli93HkJGRIdu2bZPt27dLRkaG2bbc47H04+HhIf369ZPbt29rdnG0jy0XR/gUl7FxNx9mzXXHxt18mDXXHRt382HWXHds3M2HWXPdsbEHFmaKGDdunAQEBMjkyZNlz549cvr0aTl16pTs2bNHJk+eLIGBgTJ+/HgREVm1apWEhITkG9Dg4GD58ssvNe8z70WIWoK8adMmiz+7d++Wq1ev2uXiCB+tLzKO8FHlotdHq4uzfJg1Zo1ZY9b0+jBrzBqzZu4iwqzdT1mzBxZmiggPD5eUlBSr21etWiVhYWGm369fvy6rVq2SKVOmyJQpUyQlJUWuX7+ua5+5FyG2bNlS1xNTtYtKHz8/P/H19VXmYo+PChd382HWHOPDrFl2YdbU+zBrll2YNfU+zJplF2ZNvY+rZ80eWJgpws/PTw4ePGh1+/79+8XPz0/pPnNX2ilVqpSmIF+/fl369esnYWFhUrZsWencubOcP38+X3tnuIj841O2bFl54YUXrLbJ+6R0Jx+tLiLMmgqYNWbtXlxhbESYNWswawXDrDFr9+IKYyNy/2bNHliYKaJx48bSpUsXuXPnTr5td+7ckYSEBGncuLGsX79eatSoIZcvX87X7tKlS1KzZk3ZvHmzrn1rDfLw4cPF399f+vTpIwMHDpSQkBBp37693S4iotxHz5NStU9xGBt382HWXHds3M2HWXPdsXE3H2bNdcfG3XyYNdcdG3thYaaIX3/9VcqXLy9BQUESHx8vr776qvTt21fi4+NNN/bbv3+/PPvsszJjxgyr/cyePVvi4+PNHivookqtQX7wwQdl6dKlpm3bt28XT09Pyc7OtstFRJT76HmRUe1jj4sqH60ujvZh1vK7iDBrzFrhfJg12y6O9mHW8ruIMGvMWuF8mDXbLvbCwkwhV65ckQ8//FBefvlladGihbRo0UJefvllSUpKMlX1FStWtFmRHzp0SCIiIkRE+0o7WoPs5eUlf/75p9n+fH195Y8//rDLxRE+el5kVPvocVHto8fFET7MGrPGrDFrqn2YNWbNmotqH2aNWbPmotpHb9b0wsKsiPHx8ZEjR45Y3X7kyBHx9fXVvdKOliAbjUY5d+6c2f5Kliwp6enpLuWj9UVGtY9WFxF9Kwe509i4mw+zVngXPT7MGrPmimPjbj7MWuFd9Pgwa8xaYccmLyzMipgHH3xQVq1aZXX7ypUrpVKlSnattFMQBoNB2rRpI88//7zpx9PTU1q0aGH2mB7cyUeri4h9KyEVpYuIe42NiHv5MGuWcYWxEXEvH2bNMq4wNiLu5cOsWcYVxkbEvXzcLWtm/YuIFPJG2EQDzZs3R3p6Op555hls2rQJO3fuhK+vr1mbmzdv4tFHH0XTpk3x6aefYteuXahRo4bF/g4cOIB69erhxo0bmo+hZ8+emtrNnz/f5vZcl/T0dAwcONBtfLSOzZw5c+Dv76/UR5ULwKwVBx9mzXXHhllj1qzBrFmGWXP9sWHWXDNrlmBhVkTMnTsXf/31F/r27YtHHnkEHh4eGDBgAKpVqwaDwYBDhw5h7ty5yMnJwe7du9GpUyeEh4djwYIF8PT0NOsrOzsb3bt3x6lTp7Bp06YC9533ianS5d1338XZs2eL1Ee1S14frWMTGhqKJk2auI0Ps1Y0Lnl9mDVmzZEueX2YNWbNkS55fZg1Zs2RLnl93CVrFrH7XBuxm4yMDGndunW+ixBbt24tx48fFxF9F1UWxAcffCBjxoxxCx9XcHE3H2bNdV3czYdZc10Xd/Nh1lzXxd18mDXXdSlOPrnwjJkTuXjxIo4ePQoRQdWqVREUFGS2/erVq1i0aBG2bduGzMxMAED58uVRv359JCQkICAgoMiPWURgMBgsbiuOPtYoyAVwL5/i5AK4lw+z5lyX48ePIyIiIt8nqbkUNx9bFMesZWdn3xdjAxRPH2tzguKYNVsUx7GxhTv5uFvWeMZMEW3btpXPP/9cbty44exDKTS3bt2SoUOHSqNGjeS9994TEZHx48dLiRIlxN/fXzp37mzxpn6O5u7du3b/bVpamnTr1k0qVaokvr6+UqJECYmNjZW33nrLKS6FZceOHZKQkCBRUVHi6+srfn5+EhUVJQkJCbJz505nH54yjh49Kk2bNnX2Yeji9OnTsnDhQvn2228lKyvLbNu1a9dk7NixTjoy+/j+++/lnXfekfXr14uISGpqqrRq1UqaNm0qycnJTj66wuPl5WVz2WVHkp6ebvGeOVq4N1tHjx6V119/Xdq0aSO9evWSX375RcUhFhlr1qyRX3/9VUREcnJyZPz48RIWFiZGo1EeeOABmTRpUqHeA+zB3rFxp/mACOcErs79Mh8QKZ5zAr2wMFOEwWAQT09PCQwMlL59+xbpm6LqN4EhQ4ZIWFiYDBs2TGrUqCH9+/eXihUryqJFi2TJkiVSpUoVGThwoJJ93Ysj3gDWrl0rfn5+Eh8fL507dxZ/f38ZMGCAvPHGG1KlShWpXLmynDlzxhE6IqL+DSAlJUW8vLykVatWMnPmTFmyZIksXrxYZs6cKa1btxZvb2/56quvHGDyD0X5JpCWliZGo1Fpn1qx5w1gx44dUrp0aQkICBA/Pz+pWrWq2VckMjMzHeqjuihcuHCheHp6yiOPPCIlS5aU+fPnS+nSpaV3797Sq1cv8fb2lhUrVqhUMENlUZh3tay8P0ajUZo3b17olbTsoTBFodFolLNnz4qIyJ49e8Tf319q164tffr0kXr16om3t7ds375d5eGacERRWLNmTfnpp59ERGTixIkSHBwsM2bMkDVr1sisWbMkNDRUJk+erOT470V1UehO8wERzglUo3JOcD/NB0SK35zAHliYKcJgMMiBAwdk5syZUqtWLTEajfLQQw/J+++/LxcuXFC+v2bNmpmWAlX9JhARESHr1q0TEZFjx46J0Wg0e2J///33EhkZWah93EuujyPeAGrXri1JSUlmx1+9enUREbl9+7Y0a9ZMevTo4RAfR7wBxMTEyKRJk6xunzx5stSsWbOwCibyZk31m8Ds2bNt/owcOVL5i3BeH1vY8wbQvHlzSUxMlJycHLly5Yr069dPgoODZffu3SLimMIs18cRRWHt2rVl9uzZIiLyww8/iJ+fn8yYMcO0ffr06fLEE0+oERHzsVFdFBoMBmncuLH06NHD7MdoNEp8fLzpd5Xk+jiiKDQYDKbCrG3bttK+fXuz4qFnz57SqlUrh/g4oijMe4PW2NhY+eKLL8y2f/PNN1KlShU1ImKeNdVFYVHPB/L6OKIo5JxAjYuI+qKwqOcDIv/fxxFFobvNCeyBhZki8r5Jiohs375dXnnlFQkMDBQ/Pz/p3Lmz6VNfFeS9CFHlm0Bqaqr4+fnJiRMnTI95eXmZTfCOHz8u/v7+akT+j1wf1W8Aqamp4uvra3Yh6N27d8XLy0tOnz4tIiKbN2+WsmXLKvHIJddH5RtAamqqXLp0SXx8fOT333+32u63334THx+fwgnkIW/WVL4JpKamisFgkLCwMImKirL4k/uptUpyfVS/AaSmpkrp0qXzjc2UKVMkKChIduzY4ZDCLNdHZVGYm7USJUqY3TTTy8tL9u7da/r9t99+k+DgYOUuImqLwtTUVJk3b56Eh4fnO9Pm6ekpBw4cUGRgTq6P6qIw97mT+54THh4uW7ZsMWuTlpYmoaGhDvNRVRTmZq1ChQry888/i4hIaGioKbe5HD58WPz8/BSZmGdNZVF479iIOH4+IGI+NiqLQneaE+RmrajnBPe+rqmcExT1fEDk//uoLgrdaU6QmzV7YGGmiHtfiHO5ceOGzJ8/X5588kmHVdoq3wRyV7Xp2rWriPxzmtrb29tsMrNs2TKpWrWqWon/Q/UbQK5Pnz59TI8dOXJEPDw8TF/HSU9PV/qGnxeVbwAGg0HKlCkjoaGhMmXKFKvtpkyZIjVq1CjUcVtD5ZvAvVmzxJ49exz6vFH5BpC7KtTQoUPzbZs6daqULl1aVq1a5TCfoKAgZUVhbtb8/Pzkt99+Mz1esmRJOXbsmOn39PR05ROyXFQWhbk+o0ePlieffFJeeOEF0yTVkYVZLkuXLlVaFBoMBgFgmuxFRkaavoqXS3p6uvj6+tp/0AXsX1VRmDs2DRo0kLZt20p2dra88sor0rt3b7Nib9CgQVK/fn11EnlQWRTmjs27776bb1txmw/k9ucuc4LcrAUHB8vatWtNjxfnOYGHh4c888wzVtsUl/mAiHvNCXKzNm3aNN3HwcJMEdYKs7wcPnxYU196K22VRWFGRob0799fPD09pXnz5hIUFCTvv/++lC9fXkaOHCmjRo2SwMBAGTdunObjK8gn75tvtWrVZNmyZSKi5g0gIyNDevToIaVKlZKkpCRJTk6W2NhYs68NrVq1StdZHj1jU7lyZWVvABkZGbJx40aJj48XT09PadOmjcyaNUuWLl0qy5Ytk1mzZskzzzwjXl5esnLlSof41KxZU1lRmJGRIY0aNZLHHnvMapu0tDQxGAyaj0+PT1RUVL5PxvOi9w0gIyNDHnroIWnZsqXF7e+99574+Pg47BO3oKAgs8IlF3uKwtyslS9f3uzT6cuXL5s9X9etWyfR0dGa+tTrU7p0aWVFYa7PqFGjJCcnR9555x2JiIiQtWvXipeXl13FkS0fS4t6ZGRkKCsKMzIyxGAwiI+PjwQFBYmXl5csXrzYrM13330nUVFRhXaxhNFolHPnzolI4YvC3LEZPHiw1K1bV6pUqSLdunUTX19fiYyMlKeffloqVaokAQEBsm3btkL7WFrQo1+/fsqKwtyxKejrdVrnAyL6xkf1h8Sq5wRaXBw1J8jN2pNPPinh4eFuMScYM2aMGI1GJfMBvT4q5wMi6ucEesdG5Zwg73uOXliYKaJJkyZy8eJFJX0ZDAbx8vKSzp07a7qAV2VRmMuiRYtkwIABphfEjRs3SsOGDaVOnToyZswYycnJ0dyXwWCQoKAgadSoUYEX8M6cOVN8fX2VFYUi/7wRjxw5UsLCwiQ4OFgSEhLk/Pnzpu3bt2+X1NRUzS65n4JouYB37Nixyt4A8rJ161bp1KmTVKxYUby9vcXb21sqVqwonTp1kq1bt2ruJ9dn0KBBmi7g/fLLL5UVhSIiBw4csHmB8O3btyUjI0O3j61PqXIv4H3xxRdl5MiRVtvpLQpFRD755BObn/ZNmTJF82Q5r4uWRT0aNmxo9hWZvOgtCnNZtWqVzefGpEmT5K233tLUV67PK6+8omlBj7p16yorCi2xZcsW0/VS9p61spY1a4t6qCoKRUQWLFhg9nNv0TJ27FgZMmSILpd7r6OytqiHwWCQ0qVLKykK83L79m1JSkqSNm3aSPXq1SU6OloaN24so0ePlpMnT2rux2AwSMmSJWXYsGEiUvCCHpcuXVJWFIqonQ/k+midEzhiPiCibk6QN2taFvUoLnOCoUOHalrQwxFzAlXzgbw+WuYEqucDImrnBFrPWjlyTmAPLMxckNxP3IxGo6YLeO15E8jIyJBt27bJ9u3bdU187SEjI0Pat29veqMs6AJee94Aison91OQjh07arqA1543gKIem/Hjx4vRaNR8Aa/eN4Gi9inoU6rcC3jtfQMo6qx1795d06Ie9hSFRT02o0ePFqPRqGlBD3uKQr0+V69elbS0tHzFrlafhg0bSnR0tO5FPbQWhUWdtbyTeluLethTFBZ11iIjI03PBy0LeugtCovaR+ucwN6isKizVq9ePc2LeuidExT12EyZMkU8PT01LejhbnMCe4rCos5aQWetCjMncIQLCzMHkJ2dLZmZmXL27FnJzs62qw9Hreo0Y8YMCQ8Pz3en9PDwcJk5c6ZDXEQct6qTs3wcsaqTXhdVOGpVJ2f5OGpVJ2f5OGKlR2e5OGqVR2f5FGZRD1tFoTN9VK/06CwXR63y6MyxcYU5gSocMSdw5uuaI1Z55JxADY6YEzjShYWZQlatWiUNGjQQb29vMRqNYjQaxdvbWxo0aCApKSn52tuqtO29gNdW4TFu3DgJCAiQyZMny549e+T06dNy6tQp2bNnj0yePFkCAwNl/PjxdrkU5GPPBbwFFVGO9CnoUxB7LuBVNTYFcfDgwXxLv9ryccSqTqp8LLkU5OOIVZ0c6VNQ1lQu6qHSxR4fR6zy6MysqV7Uw9E+BWVN9UqPzsyaI1Z5dPbrmuqVHp2ZNdULfTkza45Y5VGPT1pamowfP17mzp1rdvZN5J+vgPfs2TNf/648J9Dro+V1TeWcQGXWLMHCTBEfffSReHt7S9++fSUlJUW2bt0qP/30k6SkpEjfvn3Fx8dHPv74YxHRVmnrvYBXS+ERHh5utajK7SMsLEyXi1YfPRfwai2iHOGj9VMQPRfwqhwbLeS914YWH5UX8Oa+oanyufe+IVp8VF3Am/fN2RE+WrOmalEP1WNjj4/KBT1cIWsiahb1cJWsqVrUwxWypnJBD1fImqpFPVwla6oW9XCFrKlc0EOvz3fffSfe3t4SExMjFStWlJCQENmwYYOp3b0f3KmeE2gtohzhozVreuYEWnxUZs0SniBKmDp1Kj788EP06tUr37b4+HjUq1cPEyZMQGZmJqZNm4bRo0ejZcuWCA0NhYjg3Llz+O677zBmzBhcu3bN6n78/PzQo0cP9OjRA0eOHAEA/Oc//8GgQYOQmJiIESNG5OvzpZdewvvvv4+///4b1apVs9p3dHQ0Ll68qNmlT58+GD9+vCafvn37okePHvj000+xa9cuTJ8+HaNHj8Zvv/0Go9GIpKQkDBs2TLNLnz59lPtoHZu33noLL7/8Mnr37o0333wTPj4+mDFjBtq1awdvb28AQFpaGipVqqR8bABg6NChVtsBwPnz5wFA89iMGzcOL730ElJTU9GiRQuEhobCYDAgMzMT69atw/fff49ly5bZ3Gcut2/fxokTJ+Dj46PJR6uLHp86depg165d6Nixo8U+DQYDRESzCwDN46N6bN566y3ExsZi69ateOihh8z6Gj58OEQEnTt3LtAlr4/WsQHUZ61KlSr47bffTPs/deoUSpUqZerv2LFjCA8Pd4iPI7L21ltvITIyEqmpqRg7diwefvhhfPLJJzAYDJoc7nUBnJs1EUF0dDQMBgOuXbuGffv2oVatWqY+jxw5gvLly2v2cWbWJk6ciObNm6N69eqoX78+VqxYgXXr1iE6OhpHjx7F33//je+//75AF3t8HJE1a1iaE2hxAZybNa1zAq0+zsya1vmAFvT6jBkzBsOHD8eECRMgIpg2bRratWuHFStWoFWrVmZ/o3pO8P333+PZZ59F1apVcfXqVbz77rtYvnw5mjZtCgC4efMmPvvsMyQnJ2vOmlYfPVnTOifQ6qMna/ZgEC0zFFIgfn5+SEtLszpYv/32G+Li4hASEoL3338f8fHxFtulpKRgwIABiI6ORkpKCkqXLl3gvqtUqYJ//etfFgsPAEhOTsaECRMQERGB8PBwLFiwAJ6e5jV5dnY2unfvjlOnTmH79u2aXG7evImIiAhNPqdOncLixYuxbds2PPnkk+jUqRM2bdqEd955Bzdu3MCzzz6Lt99+G9HR0Zpcjh07hiZNmij10To2p06dQnZ2Nt58800sWrQIWVlZaNmyJWbPno2QkBAAwI4dO3Dr1i0kJiYqHZtNmzbBw8MDtWvXRkBAgMU+r127ht27dyMsLEyzz88//4zZs2fj559/RmZmJgCgfPnyqF+/Pl5//XXUr18fgLY3tCVLlqBhw4aafH788UdNLjk5OZqztm7dOty4cQN169a12O7OnTs4ffo0Zs+ercklJydHc9a0+ugZm08//RSpqalYuHChxbbvvfcekpKS8Pzzz2vy0To2jsjaBx98gODgYDRq1Mhiu8mTJ+P69esYP358scjaqVOnzB7/6aef0K1bN5w4cQL79u1DzZo1AWh/3jg7a5999pnZturVq+Oxxx4z/T5u3DhcunTJpkteH2dm7dSpU7hz5w7mzZuHr7/+Gunp6bh79y4qVKiAJ554Aq+99prpQ4DikDWtc4LikjUAmuYEw4cP1+TjzKydOHFC03ygUaNGyrO2Z88e7N69G5UrVzZtX7p0Kfr06YOlS5fi0UcfRVhYmO7XNS1zggYNGqBp06ZmRdS4ceNMRdTZs2dN+9aaNa0+erJ28OBBTXOCzp07a/LRkzV7YGGmiLp166Jx48aYPn26xe3Dhg1DamoqDh48iF27dqFGjRoW2x04cAD16tXDjRs3NO9ba1G4Y8cOtGjRAllZWWjcuLHZpyCbN2+Gj48P1q1bh+7du2ty+eWXX+Dv76/UR6vLzZs3sW/fPqU+xWFsYmJiUL16dbz11lvo2rWrxT7T0tJQp04d+Pj4KPfR+oaWlpamyefFF1/U5JKTk6M8a1pdcnJyNGdNq09xGBtmzT6fa9eu4dixY6hRo4bpE3NmjVmz5MLXNXU+92vWmjZtijVr1qBOnTpm/XzxxRdITEzE9OnT0b9/f4dkLTAwUHNRqDVrWn0cMTZaffRkzS7s/hIkMWPTpk1SokQJqVmzpgwePFgmTZokkydPlsGDB0tMTIyULFlSNm/eLI0bN5YuXbpYvMnlnTt3JCEhQRo3bmz2eEGLYNSpU0eGDh1q9diGDh0qderUERGRK1euyIcffigvv/yytGjRQlq0aCEvv/yyJCUlme61odVFRJT76HFR7WOPi0ofLS4iIgkJCTJ48GCrfebea8NeH1tUq1ZNFi5caHV73u9qa/HR6iJiX9ZUuaj2KQ5j424+zJrrjo27+TBrrjs27ubz9NNPy9SpUy32tWTJEvHy8jL1p9qnbNmyFm/bsGzZMvH395ekpCTdWdPq44ix0eOjNWv2wDNmCsnIyEBSUhK2bduW79Rv3759ERUVpflTg5iYGKSkpGDatGn45ZdfkJ2dDQDw9PRE3bp1MWLECNMp3NTUVDzzzDOIjIy0+H3gEydOYPXq1WjYsKFSFwDKfRzh4oixAeA0n8zMTGRlZSEyMtJmO70+1jh06BCeeeYZpKeno0uXLihXrhxmzpxpse3evXsRFxeHu3fvKnVxhE/9+vWVuujxUeXibj7MmuuOjbv5MGuuOzbu5uPIrKWkpGDz5s1W+1u6dCk+/vhjbNy4UZfP3r178fXXX6NMmTLo2LGj6WuZAHDlyhUMHjwYf/75J1q0aGHx66ZLly5F9+7dkZOTg5ycHE0uenzmzJmja2yc5WMPLMycwNWrV7Fo0SKLRUJCQgICAgLMFo2wdGHj/PnzTYtgANoLqeLg4+ouANzOxxZ79+7FI488gpycHF0TDkeg0ufUqVPF3gVwLx9mzTEwa/lh1hwDs5af4pa1exfBuHHjhtkiGLnXWn355Zeai0JnuQAoNj65sDBzACdOnEBmZiYMBgNCQ0PtegJqXdDj2LFjhT1cE82bN0d6ejrS09NNj6lwAehTWCy5AGp89FwsrgpHjg19Cgezph36FA5mTTv0KRzMmnb0LOqhCnfysZY1rXC5fIXMnDkTM2bMwOnTp03LcRsMBoSFhWHYsGEYPHiw5r5OnTqFJ5980ur2Bg0a4PTp0/keL0yQn3/+efz111/KXez1KeyT0p188rqo9pk9e3aBFyNbwlWzZo+PK2etqH2YNe0wa8yaNZ/iPjbu5sOsaefAgQOmVYANBgNGjBiB8PBwtG/f3rQIhkoXd/O5N2u6KdQVasSEqjuBN2vWTCpVqqR7EQytN9orShd7fVS6qPTJdRHRt6iHq/vovVjc1bOmx8fVx0ZE38Xiru7DrLnu2Igwa8yaY32YNVHu44is6VkEw9XHRkTfoh6qfeyBhZkiVN0J/IMPPpAxY8boWhlR5RNTpYs9Pqpc7t69q9wn10VE+0qPqsfGET56VhArDlnT6lMcxkZE+wpixcGHWbPfJT093WwFMmbNtk9RZu3eleGKe9bupbhnLe98wBE+7va6pnVlxOKSNWf62AMLM0X4+fnJwYMHrW7fv3+/+Pn56erz+PHjMnLkSGnUqJFER0dLdHS0NGrUSN544w05fvy4qZ3WILdt21Y+//xzuXHjRpG7iGjz0fOkvHXrlgwdOlQaNWok7733noiIjB8/XkqUKCH+/v7SuXNnuXz5crHxSUtLk27dukmlSpXE19dXSpQoIbGxsfLWW2+ZLb+q2ufMmTOSkZGhqa0enx07dkhCQoJERUWJr6+v+Pn5SVRUlCQkJMjOnTsd4iKi3UflG9rRo0eladOmxcbn9OnTsnDhQvn2228lKyvLrN21a9dk7NixIlJ8svb999/LO++8I+vXrxcRkdTUVGnVqpU0bdpUkpOTRaT4Z83Ly8vs+IuDz73ZOnr0qLz++uvSpk0b6dWrl9mn2MUha2vWrJFff/1VRERycnJk/PjxEhYWJkajUR544AGZNGmS3L17t1iMjYg4dU6g2kfrfMARPo56XdMyJ3DE2KxatcpmoblkyRJp0qSJ7tc1Z80JHOVjjdz5gL2wMFOEI+6poBWtQTYYDOLp6SmBgYHSt29fi6d2RdS53PsplRb0PCmHDBkiYWFhMmzYMKlRo4b0799fKlasKIsWLZIlS5ZIlSpVZODAgcVibNauXSt+fn4SHx8vnTt3Fn9/fxkwYIC88cYbUqVKFalcubKcOXNGRIpH1lJSUsTLy0tatWolM2fOlCVLlsjixYtl5syZ0rp1a/H29pavvvqqWLhoIS0tzWH3VtGKVp8dO3ZI6dKlJSAgQPz8/KRq1aqyf/9+U7vMzEyH3fdGD1p9Fi5cKJ6envLII49IyZIlZf78+VK6dGnp3bu39OrVS7y9vWXFihVKXO49a6XaRUTk+eeft/hjNBqlefPmpt+Lw9gYjUY5e/asiPzzdS5/f3+pXbu29OnTR+rVqyfe3t6yfft2ESl81uwZF70+NWvWlJ9++klERCZOnCjBwcEyY8YMWbNmjcyaNUtCQ0Nl8uTJxWJsRKRI5wT2zAdEtPtonQ+o8rEX1XOC4uAiIvfVnCB3PmAvXJVREVrvDzFq1Ch07NgR7du3h5+fn6a+C7oIsUmTJggPD8eCBQvg6Wm+nkt2dja6d++OU6dOYfPmzdi/fz++//57JCcn48CBA4iNjUWfPn3QpUsXBAUF6XKJiYlBVlYWRo8ejV9++QVt27bFiBEj8O9//xuTJ0+GiOC5557DRx99ZHZRrC0frS6bNm1CxYoVkZycbFoBp2rVqli1ahWee+45AMC6devQp08ffP3117ru3TF9+nRs2bIFZ86cgYeHBypVqoT4+HiMGDHC4sW9KnwuX76MV199FX379jUd+6BBg3Do0CHcuXMHrVu3RkREBObPn69rfHbu3IlZs2Zh69atZsfYoEEDDBkyBHXr1nVI1v766y907doVo0aNyvfvBQBTpkzB559/jmXLlim7782xY8fQp08fbNiwQenYbNq0CXPmzLG571OnTmHatGlIS0vT7HPmzBmsX78eZcqUQfPmzeHt7W3q7/r165g+fTreeecds/2o8PHy8kLFihXxySef4Pr16xg1ahS++OILrFu3DnFxcWYrVOnJ2rp167BlyxY0btwYTz31FDZv3oxJkyYhKysL3bp1Q8+ePTW76PG5fPkyevbsiUGDBmH9+vV49tlnMWHCBAwZMgQAMGPGDKxatQpJSUmFzpq3tzf27t2LGjVq5NumKmtGoxGNGjVCpUqVzNp9/vnnaNeuHUqXLg3gn5XgtPhUrVrVLFvHjh3D+++/jyNHjqBChQp47bXXUKdOHYf4bN68GZmZmShXrhyeffZZ+Pr6Yvny5TAYDACAxMREnDlzBmvWrNGctZMnT+KBBx5ArVq1cPfuXUycOBFJSUnIzMxEhQoVMGDAALzxxhumfRTkosdn+/btOHz4MCIiIlCrVi28/fbb6Nixo6ntt99+i8GDB2PVqlWas/bss88qnRPozZrKOUGVKlV0zwdU+aSnp2uaD2RkZOi+n5eeOYHK1zUtcwKtrwO5r2sq5wR6shYbG1ukcwJL8wFVPi+88ILNfefOB+xe5dHuko7kQ8udwLV+QiWi/SLEX3/9VcqXLy9BQUESHx8vr776qvTt21fi4+OlTJkyUqFCBdm/f78YDAbTp5ciItu3b5dXXnlFAgMDxc/PTzp37mz6KpDWu5rr+ZRKi49WF5F/Pt04ceKE6Vi8vLzMPvk/fvy4+Pv7a/bRc9ZKtY+vr6/Z11Pv3r0rXl5ecvr0aRER2bx5s5QtW1ZX1rR+QuWIrPn4+Mjvv/9uNdu//fab+Pj46MpaQeT9lEp11gwGg4SFhUlUVJTFn9yvM2n10XPWSrVPUFBQvrGZMmWKBAUFyY4dO/LtW4uP1rNWWl30+JQoUULS09NNf+fl5SV79+41y1pwcLCurGk9a+WIrC1dulTCw8NNX8HMxdPTUw4cOGD2mBYfPWetVPvkfc8JDw+XLVu2mB1/WlqahIaG6vLRetbKEVmrUKGC/PzzzyIiEhoaKrt37zbzOXz4sOkTda1ZUz0n0Pu6pnJOoGc+oNpHz3xAq4+eOYHqrOmZE2jNmuo5gZ6sFfWc4N6zVqpf17TOB+yBhVkRYzAY5MCBAzJz5kypVauWGI1Geeihh+T999+XCxcumNrpvQhRa1GY90U4lxs3bsj8+fPlySef1B2miIgIWbdunYiIHDt2TIxGo+mJLfLPtR+RkZG6fLQ+KatVqybLli0TkX8mut7e3maTmWXLlknVqlU1u9SuXVuSkpLMjr169eoiInL79m1p1qyZ9OjRQ0T0jY8Wn8qVK8vatWtN+z5y5Ih4eHiYrtFIT0/X/b3qmJgYmTRpktXtkydPlpo1azokazVr1pQpU6ZY3feUKVOkRo0aunxmz55t82fkyJG6L+DVmrWoqCj54osvrB7bvatuFUTz5s0lMTFRcnJy5MqVK9KvXz8JDg42TfTyFkeqfYKCgswKl1ymTp0qpUuXllWrVul+Hahdu7bMnj1bRER++OEH8fPzkxkzZpi2T58+XZ544gmHZK106dLy22+/mf6mZMmScuzYMdPv6enpZhMyLRgMBmncuLH06NHD7MdoNEp8fLzpd0dkTUQkIyNDnnzySXnhhRdM7wuWCjOtLrmv+23btpX27dubfa2sZ8+e0qpVKxFRnzWj0Sjnzp0TEZHIyEjT9Vm5pKeni6+vry4fX19f+eOPP0REJDY2Nt/z8ptvvpEqVao4JGv9+vWTtm3bSnZ2trzyyivSu3dvs3/LQYMGSf369XX5OGJOoKcoVDkn0DofcISP6vmAiPY5gSOyVlzmBFqzpnpOoHU+IKI+a6rnA/fCwqyI0foJlcqFCazt2xKHDx/W1afWT6kc4TNz5kzx9fWV5s2bS1BQkLz//vtSvnx5GTlypIwaNUoCAwNl3LhxmvvT8wmVap+xY8dKeHi4JCUlSXJyssTGxpo+kc/tr2bNmpr7E9H+CZUjxubLL78UT09PadOmjcyaNUuWLl0qy5Ytk1mzZskzzzwjXl5esnLlSl19av2UyhE+L774oowcOdLq9ryrbmlBz1kr1T4NGzY0m2zk5b333hMfHx/dbypaz1o5Ymzq1q1rNvm7fPmy2WR53bp1Eh0dratPrWetHOGTS05OjrzzzjsSEREha9euFS8vr0IXZgWdtVLtYzAYpHTp0hIUFCReXl6yePFis+3fffedREVFae5PRDSftXLE2Fy6dEnq1q0rVapUkW7duomvr69ERkbK008/LZUqVZKAgADZtm2brj7daU6g56yVah/V8wER7XMCR4wN5wS20XPWSrWP6vnAvbAwU8jcuXOlWbNm0qFDB9Pp/1zOnz8vlSpV0vwJlSNWpmnSpIlcvHhRmYuI9k+pHLUy4qJFi2TAgAGmY9i4caM0bNhQ6tSpI2PGjJGcnBzNPno+oVLtc+fOHRk5cqSEhYVJcHCwJCQkyPnz503bt2/fLqmpqabftfho/YTKUWOzdetW6dSpk1SsWFG8vb3F29tbKlasKJ06dZKtW7fqchHR/imVI3wOHDhgWjXKErdv3zatyqXFR89ZK9U+n3zyiXTt2tXq9ilTpphNlrX4aD1r5agVt/I+N+5l0qRJ8tZbb2l2yUXLWStHPXfysmXLFqlUqZIYjcZ8hZkWHz1nrVT7LFiwwOzn3qJl7NixMmTIEF0+Ws9aOWpsbt++LUlJSdKmTRupXr26REdHS+PGjWX06NFy8uRJXS4i2s9aFYc5gZ6zVo7w0Tof0OqjdU7gCBc9cwKtWXOnOYGes1aqffTMB+yBhZkiZs+eLf7+/tK/f3/p2rWr+Pj4yMSJE03bcz8B1/oJld6VafRMOFS5iGj/lEqPj0oXPT56PqEqDj5aP6EqLlnT+ilVcRgbPWetioOP1rNWxSVruRR01qqoxubq1auSlpZmtvy8nvccrWetikPWtJ61Ki5Zc8ScwFljo+esVXHw0TonKC5Zc8ScwFljo+eslTN97IGFmSJq1qxp9oa3detWKVeunLz99tsi8v/DpPUTKj0XVdoz4cjOzpbMzEw5e/asZGdn2+WSi5ZPqbT62OOiykfPJ1SO9LHlond8tHxC5eis2UKPi9ZPqRydNRU+es5aFQcfrWetikvW7sXaWaviMDZ6zloVBx8RbWetikvWVM8JnD02Ws9aFQcfrXOC4pK13O2q5gTOHBs9Z62c6WMPLMwU4efnZ/ZdZJF/To+GhobKqFGj7BpQPRdVan1irlq1Sho0aCDe3t5iNBrFaDSKt7e3NGjQwPQdXEe4aPXR+yLjTj5aXBzl44is2eLgwYNSqVKlYjM295NProsIs5YXS2ettPowa7ZdRJg1VT7Mmm0XEWZNlY9el7S0NBk/frzMnTvXrMAV+edbFj179iw2Plpc7IWFmSIiIiJk8+bN+R4/cOCAhIaGSrdu3XSfGdGK1iB/9NFH4u3tLX379pWUlBTZunWr/PTTT5KSkiJ9+/YVHx8f+fjjj+1yUeWj50npSB9XHRsR+7KmClUvmrlL2bqDi4h7+eRdZtidfNzBRcS9fJg19TBrlmHW1KPH5bvvvhNvb2+JiYmRihUrSkhIiGzYsMH0d7lti4OPVhd78Sz4TmdEC08++SRWrlyJhg0bmj1es2ZNrF+/Hk2bNjU9lpKSgmnTpuGXX35BdnY2AMDT0xN169bFiBEjEB8fr2vfISEhOHnyJKKiokyPxcTEYMOGDXjqqadw6tQpAMDUqVPx4YcfolevXvn6iI+PR7169TBhwgRdLqp9tLo4ysfVx6ZPnz66x8cahw4dwjPPPIP09HTlPkOHDrXZz/nz5wHoe94UhF4fPVkrah9XGBvAvXyYNTUuALNmDWZNrQvArFnD3rHZu3cvvv76a5QpUwYdO3ZESEiIaduVK1cwePBgJCcnK3UBgDFjxmD48OGYMGECRATTpk1Du3btsGLFCrRq1crUTo+PShc9Plpd7Mbuko6YsXfv3nxLK+dl//79MmbMGF1nRrRehNi5c2d5/fXXre63bNmyYjQaxdfX12zltHs5dOiQ+Pr6anYR0X7WSquPVhcRUe6jx0W1j1YXEe1ZK4i8nyCqzprRaJRHHnlEmjRpYvGnbt26YjQalbnY46Mna0Xtc+/NMVX6aHURYdZU+TBrzJo9Lvb4MGvMmjUXPWd6VGctICBAjh49atZmyZIlUqJECfnf//5n2rdWH71nrVT6aHWxFxZmRUzlypXl008/tbp93rx58uCDD+q6CFFrkOvUqSNDhw612m7o0KFSp04dp/roeZFR7aPVRUT7BbzOHJshQ4bY/OnatasYjUaHZK1atWqycOFCq+3suQGjah89WVPto9VFRH3WisPYiDBrqnyYNWbNkosIs6bKp7hkrX79+jJ69GgR+eeebO+9956ULFlS1qxZY3acjsha2bJl5ZdffsnXZtmyZeLv7y9JSUm6fLS6iKjPmmqXe2FhpoC8N1QsCF9fX5url+WeGVF5AW8umzZtkhIlSkjNmjVl8ODBMmnSJJk8ebIMHjxYYmJipGTJkrJixQpdffr4+Gg601McfLSOjYjaC6y1umzevFlX1oxGo9SqVavAT9wcMTYJCQkyePBgq9vT0tJE7wl7rZ8gFgcfrWMjoj5rWlwMBgOzxqwxa3b4MGvMmiuOjYhIqVKlNJ3pcYTP008/LVOnTrW4bcmSJeLl5aXrpswBAQGyZcuWAl1E1GdNiwsLMydTrlw56d27t2zfvt1qm0uXLsnHH38svr6+0rRpU6vtcs+MaL0IUc+LjIjIzz//LCNHjpRGjRpJdHS0REdHS6NGjeSNN96Q48eP63KJiYmRiIgITWd6tPjovVP6n3/+KcePH1fmo3VsRLRdJKrXp6CxEdGXNW9vb+nWrZvVdnlvyKw6a2fOnMm3LPe96M1auXLlNH2C6Iix2b17d4E3jHTE2Iioz5qWsRFh1pi1f2DW9Pkwa8yaJRdXyFrJkiU1nelxRNY++eQTm4VmbkGj1cfDw0OGDx9eoIuI+qytWrVKevfubdOlSZMmmvu7Fy7+oYBDhw5h4sSJaNWqFby8vFC3bl2EhYXB19cXFy9exMGDB3HgwAHUrVsXY8eOxbhx4xATE4MWLVogNDQUBoMBmZmZWLduHU6cOIHVq1ejS5cumi5CrFevHtq1a4c+ffrg0UcftXh8ly9fxvLlyzF79my8+uqrmDJlihKXqVOnwt/fH8888wzWrl1baB8RQZ8+fXS5DBw4UJmP1rEBtF0kao+PLRe9Pg0aNEBwcLDVvgwGA0RE8wWv9mTtscceU+IydepULFq0CLt27ULXrl0L7WNv1mzhiLEBHJc1W2PjKB9mjVkrKh9mjVkrKp/ikrWZM2di48aNqFOnjlk/nTp1wt27d9G9e3cAjhubmTNnWnXp3LkzWrZsqdnnoYceQmhoaL5+7nVxpI8tl86dO1vdXhAGyX2WkEJz69YtrF69Gj/++CMyMjJw8+ZNhISEIC4uDi1btkRsbCwAICMjA0lJSdi2bRsyMzMBAOXLl0f9+vXRt29fREVFISEhAeXKlcOsWbPy7efAgQNo2rQp/v77b5w/fx4TJ05EcnJygUF+66230Lp1awDAiRMnkJmZCYPBgNDQUERGRtrlotLnr7/+wtChQ3W7qPTR4gLAoT4FuWj1yczMRFZWlsW/z0txyZpKH2dnTauLo32YNWatqHyYNWatqHyYNctZS0lJwebNm60WSEuXLsXHH3+MChUquHzWtLps3LjR6VnTjd3n2ohD0btq0M2bN2XlypUyePBgiY+Pl5YtW0qXLl1k2rRpsm/fPlO7GTNmSHh4uBiNRjEYDGIwGMRoNEp4eLjMnDnTJXy0uribT3FwcTcfZs11XdzNh1lzXRd382HWXNfF3XyYNfUuLMycSEZGhmzbtk22b99e4Pe8VTBu3DgJCAiQyZMny549e+T06dNy6tQp2bNnj0yePFkCAwNl/PjxdvfvTj7u5CJCn8LCrGmHPoWDWdMOfQoHs6Yd+hQOZk07LMycQEGVtt4FPf78809N7cLDwyUlJcXq9lWrVklYWJiufYu4l4+WT0Ec4cOx0YY7+TBrtmHWLMOsudfYiLiXD7NmG2bNMsza/4eFWRGjpdIuUaKErpV25syZo2nffn5+cvDgQavb9+/fL35+fvetj9ZPQfSuhKTFh2Nzf/kwa2pc6KPGhVlj1lT4MGtqXOijxqU4ZS0vLMyKGC2Vdvny5WXYsGESFBQk5cqVkzZt2kjv3r1lwIAB0qVLF4mLixNvb29p0KCBrF69WvO+GzduLF26dJE7d+7k23bnzh1JSEiQxo0b37c+Wj8F+fvvv5X7cGzuLx9mzXXHxt18mDXXHRt382HWXHds3M3H3bKWF67KWMT4+/tj165dqFGjhsXtBw4cQL169XDjxg1dKyNqYd++fWjRogWysrLQuHFjs+XgN2/eDB8fH6xbtw4xMTH3pY8eF0DfypVF7aLXx9XHxt18mDXXHRt382HWXHds3M2HWXPdsXE3H3fLWl5YmBUxTZo0QXh4OBYsWABPT/PbyGVnZ6N79+44deoUNm3a5JD9X716FYsWLbK4HHxCQgICAgJ09edOPu7kAtBHNcyadeijFmbNOvRRC7NmHfqohVnTBguzIsbRlXZR404+7uQC0MeVcScXgD6ujDu5APRxZdzJBaCPK+NOLvfCwswJOLLSdgbu5ONOLgB9XBl3cgHo48q4kwtAH1fGnVwA+rgy7uRiht1Xp5Fiydy5c6VZs2bSoUMHWb9+vdm28+fPS6VKlZx0ZPbhTj7u5CJCH1fGnVxE6OPKuJOLCH1cGXdyEaGPK+NIF6OzC0NSdMyZMwcjRoxA9erV4ePjgzZt2mDSpEmm7Tk5OThx4oQTj1Af7uTjTi4AfVwZd3IB6OPKuJMLQB9Xxp1cAPq4Mg53KWzVSPTjrE8NatasKYsXLzb9vnXrVilXrpy8/fbbIiKSmZkpRqNRd7/u5ONOLiL0UQWzVjD0UQOzVjD0UQOzVjD0UQOzph0WZkXM7Nmzxd/fX/r37y9du3YVHx8fmThxoml7YQfUFn5+fnL8+HGzx/bv3y+hoaEyatQou/btTj7u5CJCH5Uwa7ahjzqYNdvQRx3Mmm3oow5mTTsszIoYR1fatoiIiJDNmzfne/zAgQMSGhoq3bp1071vd/JxJxcR+qiEWbMNfdTBrNmGPupg1mxDH3Uwa9phYVbEOLrStkXnzp3l9ddft7ht//79UrZsWd37dicfd3IRoY9KmDXb0EcdzJpt6KMOZs029FEHs6YdFmZFjKMrbVvs3btXkpOTrW7fv3+/jBkzRlef7uTjTi4i9FEJs2Yb+qiDWbMNfdTBrNmGPupg1rTDwqyIcXSlXdS4k487uYjQx5VxJxcR+rgy7uQiQh9Xxp1cROjjyriTy72wMCtiHF1pW+PEiRO62v/555+a2rmTjzu5iNBHFcxawdBHDcxawdBHDcxawdBHDcyaPliY3SeUK1dOevfuLdu3b7fa5tKlS/Lxxx9LTEyMzJkzpwiPTj/u5ONOLiL0cWUfd3IRoY8r+7iTiwh9XNnHnVxE6OPKPkXh4qngXmtEI3/88QcqVqyouf2pU6fwwAMPKNn3oUOHMHHiRLRq1QpeXl6oW7cuwsLC4Ovri4sXL+LgwYM4cOAA6tati6lTp6J169YF9ulOPu7kAtDHlX3cyQWgjyv7uJMLQB9X9nEnF4A+ruzjTi6WMIiIKDlaUiChoaFo164d+vTpg0cffdRim8uXL2P58uWYPXs2Xn31VQwcOFDpMdy6dQurV6/Gjz/+iIyMDNy8eRMhISGIi4tDy5YtERsbq7kvd/JxJxeAPq7s404uAH1c2cedXAD6uLKPO7kA9HFlH3dysQQLsyLkwoULmDhxIpKTkwustN966y27Ku2ixJ183MkFoI8r+7iTC0AfV/ZxJxeAPq7s404uAH1c2cedXCzBwswJOLLSdgbu5ONOLgB9XBl3cgHo48q4kwtAH1fGnVwA+rgy7uSSFxZmhBBCCCGEEOJkjM4+AEIIIYQQQgi532FhRgghhBBCCCFOhoUZIYQQQgghhDgZFmaEEEIIIYQQ4mRYmBFCCCGEEEKIk2FhRgghpNghImjevDmqVKmCX3/9FU2bNkVGRoazD0sJTZo0weDBgzW13bRpEwwGAy5duqS5/zFjxqB27dp2HRshhBDHwcKMEEKIy7F161Z4eHigVatWFrdnZGTA09MTc+fORdeuXREcHIyoqCilx5CRkQGDwQBPT0+cOnXKbNuZM2fg6ekJg8GgvCBctWoVxo8fr6ltgwYNcObMGQQGBmruf/jw4Vi/fr29h0cIIcRB8D5mhBBCXI7evXujZMmS+PTTT3Hw4EFUrFixyI8hIyMDlSpVQkREBF577TX861//Mm2bPHkykpKS8Mcff+D48ePKi0JCCCH3HzxjRgghxKW4fv06li9fjtdeew1t27bFggULzLbnfn1v/fr1qFu3Lvz9/dGgQQP8/vvvZu2SkpJQuXJleHt7o1q1ali4cKFdx9O9e3fMnz/f7LEFCxage/fu+R4rXbq02WNfffUVDAaD6ffcrxEuXLgQUVFRCAwMxEsvvYSrV6+a2tz7VcasrCyMHDkSERER8PHxQdWqVTFv3jyzf4vcrzLmHsNXX32F6Oho+Pr64umnn8bJkyfzHUMud+/exbhx4xAeHg4fHx/Url0ba9euteefihBCSCFgYUYIIcSl+OKLL1CtWjVUq1YNXbt2xfz582Hpyx1vvvkmpk+fjl9++QWenp5ITEw0bUtJScHrr7+OYcOGYf/+/Xj11VfRs2dPbNy4UffxtGvXDhcvXsSWLVsAAFu2bMGFCxfw7LPP2uV37NgxfPXVV/jmm2/wzTffIDU1FZMnT7ba/uWXX8ayZcswZ84cHDp0CB999BFKlixptf2NGzcwYcIEfPbZZ/jpp59w5coVvPTSS1bbz549G9OnT8e0adPw66+/omXLlmjXrh2OHDlilx8hhBD7YGFGCCHEpZg3bx66du0KAGjVqhWuXbtm8ZqoCRMmoHHjxqhZsyZGjRqFrVu34tatWwCAadOmoUePHujXrx+io6MxdOhQvPDCC5g2bZru4/Hy8kLXrl2RnJwMAEhOTkbXrl3h5eVll9/du3exYMECxMbGomHDhujWrZvVa74OHz6M5cuXIzk5Gc8//zwefPBBNGvWDJ06dbLa/507d/DBBx+gfv36qFOnDj777DNs3boVO3bssNh+2rRpeOONN/DSSy+hWrVqmDJlCmrXro1Zs2bZ5UcIIcQ+WJgRQghxGX7//Xfs2LHDdIbH09MTnTp1MhVFeXnooYdM/1+hQgUAwLlz5wAAhw4dwhNPPGHW/oknnsChQ4fsOq5evXphxYoVyMzMxIoVK8zOzuklKioKpUqVMv1eoUIF03HfS1paGjw8PNC4cWPN/Xt6eqJu3bqm36tXr47SpUtbdL9y5QpOnz6t9N+KEEKIfXg6+wAIIYSQXObNm4fs7Gw88MADpsdEBF5eXrh48SKCgoJMj+c9Y5V7Hdfdu3fzPZa3n3sf00psbCyqV6+Ozp07o0aNGoiNjUVaWppZG6PRmO8rl3fu3MnX171n2gwGg9lx58XPz8+u47Xkactd5b8VIYQQ++AZM0IIIS5BdnY2Pv/8c0yfPh1paWmmn7179yIyMhKLFy/W3FeNGjVM14TlsnXrVtSoUcPu40tMTMSmTZusni0rW7Ysrl69iuvXr5seu7d400utWrVw9+5dpKamav6b7Oxs/PLLL6bff//9d1y6dAnVq1fP1zYgIABhYWHK/60IIYToh2fMCCGEuATffPMNLl68iF69euW7L1f79u0xb948DBgwQFNfI0aMQMeOHfHII4+gWbNm+Prrr7Fq1Sr88MMPdh9fnz590KFDh3wrL+by2GOPwd/fH6NHj8bAgQOxY8eOfCtK6iUqKgrdu3dHYmIi5syZg4cffhgnTpzAuXPn0LFjR4t/4+XlhYEDB2LOnDnw8vLCgAED8Pjjj+PRRx+12H7EiBF49913UblyZdSuXRvz589HWlqarkKYEEJI4eEZM0IIIS7BvHnz0Lx5c4s3S37xxReRlpaG3bt3a+orPj4es2fPxtSpUxETE4P//Oc/mD9/Ppo0aWJq06NHD7PfC8LT0xMhISHw9LT8mWaZMmWwaNEirF69GrVq1cLSpUsxZswYzf1bIykpCe3bt0e/fv1QvXp19OnTx+ys3L34+/vjjTfeQEJCAurXrw8/Pz8sW7bMavtBgwZh2LBhGDZsGGrVqoW1a9fif//7H6pWrVroYyeEEKId3mCaEELIfUmTJk3QpEkTJcWTq7BgwQIMHjzYdF8zQgghxQd+lZEQQsh9x9WrV3Hs2DF88803zj4UQgghBAALM0IIIfchpUqVwsmTJ519GIQQQogJfpWREEIIIYQQQpwMF/8ghBBCCCGEECfDwowQQgghhBBCnAwLM0IIIYQQQghxMizMCCGEEEIIIcTJsDAjhBBCCCGEECfDwowQQgghhBBCnAwLM0IIIYQQQghxMizMCCGEEEIIIcTJ/D/6y6o0PfhcJAAAAABJRU5ErkJggg==", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "

Tabla de pivote:

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Productoarroz-secano-manualbatatacocofrutales-varioshortalizas-variasmaiz-blanco-tradicionalmangopepino-cohombrotomateyuca
AñoMunicipio
2007.0CHIMA23.00NaNNaNNaNNaNNaNNaNNaNNaN2850.00
COTORRA294.00NaN240.00NaNNaNNaN80.0NaN480.0708.00
LORICA622.00NaNNaNNaNNaNNaNNaNNaNNaN10260.00
MOMIL18.00NaNNaNNaNNaNNaNNaNNaNNaN3950.00
PURISIMA120.00NaNNaNNaNNaNNaNNaNNaNNaN4100.00
2008.0CHIMA36.00NaNNaNNaNNaNNaNNaNNaNNaN2430.00
COTORRA301.00NaNNaNNaNNaNNaNNaNNaN360.060.00
LORICA640.00NaNNaNNaNNaNNaNNaNNaNNaN13200.00
MOMIL22.80NaNNaNNaNNaNNaNNaNNaNNaN2570.00
PURISIMA24.00NaNNaNNaNNaNNaNNaNNaNNaN700.00
2009.0CHIMA80.00NaNNaNNaNNaNNaNNaNNaNNaN510.00
COTORRA480.00NaNNaNNaNNaNNaNNaNNaN0.0480.00
LORICA588.50NaNNaNNaNNaNNaNNaNNaNNaN12000.00
MOMIL57.10NaN0.00NaNNaNNaNNaNNaNNaN2429.00
PURISIMA24.00NaNNaNNaNNaNNaNNaNNaNNaN700.00
2010.0CHIMA119.60NaNNaNNaNNaNNaNNaNNaNNaN1125.00
COTORRA200.00NaNNaNNaNNaNNaNNaNNaN10.0492.00
LORICA848.40NaNNaNNaNNaNNaNNaNNaNNaN12320.00
MOMIL52.50NaN0.00NaNNaNNaNNaNNaNNaN518.00
PURISIMA60.00NaNNaNNaNNaNNaNNaNNaNNaN550.00
2011.0CHIMA125.50NaNNaNNaNNaNNaNNaNNaNNaN783.00
COTORRA66.00NaNNaNNaNNaNNaNNaNNaN0.0600.00
LORICA1734.40NaNNaNNaNNaNNaNNaNNaNNaN17400.00
MOMIL28.00NaN70.00NaNNaNNaNNaNNaNNaN966.00
PURISIMA12.00NaNNaNNaNNaNNaNNaNNaNNaN150.00
2012.0CHIMA158.62NaNNaNNaNNaNNaNNaNNaNNaN1741.60
COTORRA96.00NaNNaNNaNNaNNaNNaNNaN21.0600.00
LORICA1608.40NaNNaNNaNNaNNaNNaNNaNNaN12320.00
MOMIL11.20NaN122.50NaN11.0NaNNaNNaNNaN1090.00
PURISIMA46.00NaNNaNNaNNaNNaNNaNNaNNaN500.00
2013.0CHIMA268.07NaNNaNNaNNaNNaNNaNNaNNaN1893.75
COTORRA1410.00NaNNaNNaN90.0NaNNaNNaN30.0600.00
LORICA1170.40NaNNaNNaNNaNNaN1290.0NaNNaN13200.00
MOMIL125.90NaN120.00NaN10.0NaNNaNNaNNaN3121.63
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaN3230.00
2014.0CHIMA208.80NaNNaNNaNNaNNaNNaNNaNNaN1190.00
COTORRA2190.00NaNNaNNaN90.0NaNNaNNaN57.0648.00
LORICA900.00NaNNaNNaNNaNNaN1290.0NaNNaN12000.00
MOMIL413.00NaN130.00NaNNaNNaNNaNNaNNaN3121.63
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaN1860.00
2015.0CHIMA109.20NaNNaNNaNNaNNaNNaNNaNNaN480.00
COTORRA1550.00NaNNaNNaN35.0NaNNaNNaN42.51120.00
LORICA900.00NaNNaNNaNNaNNaN1225.50.00NaN13200.00
MOMIL231.88NaN130.00NaN2.4NaNNaNNaNNaN1316.88
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaN1800.00
2016.0CHIMA114.00NaNNaNNaNNaNNaNNaNNaNNaN660.00
COTORRANaNNaNNaNNaNNaNNaNNaNNaN20.0840.00
LORICA700.00NaNNaNNaNNaNNaN1720.0120.00NaN17400.00
MOMIL177.54105.040.00NaNNaNNaN0.00.75NaN3600.00
PURISIMA45.00NaNNaNNaNNaNNaNNaNNaNNaN1770.00
2017.0CHIMA189.00NaNNaNNaNNaNNaNNaNNaNNaN287.50
COTORRA1013.40NaNNaNNaNNaNNaNNaNNaNNaN612.00
LORICA2400.00NaN400.00NaNNaNNaN3440.0150.00NaN10350.00
MOMIL440.00122.560.00NaNNaNNaN0.0NaNNaN890.00
PURISIMA110.00NaNNaNNaNNaNNaNNaNNaNNaN1850.00
2018.0CHIMA205.78NaNNaNNaNNaNNaNNaNNaNNaN920.00
COTORRA1064.28NaNNaNNaNNaNNaNNaNNaNNaN480.00
LORICA300.00NaN400.00NaNNaNNaN3440.0NaNNaN13500.00
MOMILNaN262.560.00NaNNaNNaN0.0NaNNaN1460.00
PURISIMA115.68NaNNaNNaNNaNNaNNaNNaNNaN1918.00
2019.0CHIMANaNNaNNaN10.0NaNNaNNaNNaNNaN462.00
COTORRANaNNaN120.00NaNNaNNaNNaNNaNNaN665.00
LORICANaNNaN450.00NaNNaNNaN3200.071.50NaN13430.00
MOMILNaN7.012.00NaNNaNNaN175.0NaNNaN4353.60
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaN2180.00
2020.0CHIMANaNNaNNaN10.0NaNNaNNaNNaNNaN186.00
COTORRANaNNaN120.00NaNNaNNaNNaNNaNNaN660.00
LORICANaNNaN451.08NaNNaNNaN3600.075.00NaN13260.00
MOMILNaNNaN14.00NaNNaNNaN93.0NaNNaN4692.00
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaN3920.00
2021.0CHIMANaNNaNNaN10.0NaN461.90NaNNaNNaN540.00
COTORRANaNNaN70.00NaNNaNNaNNaNNaNNaN720.00
LORICANaNNaN490.00NaNNaN1281.271840.090.00NaN10000.00
MOMILNaNNaN30.10NaNNaNNaN201.5NaNNaN4381.00
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaN2347.50
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAA2YAAAKdCAYAAABI93qQAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAADyzElEQVR4nOzdeXhNV/v/8fcRmScRMrURIYSYFRXzHGMpFUoTMdZcRam2pk6GUmOrqjRqKFqtKhozNYshVZUa0mj0QakhZiI5vz/8sr9OEpFoiPJ5Xde5np611177Xvvsk+fc1tprm8xmsxkRERERERHJNXlyOwAREREREZGnnRIzERERERGRXKbETEREREREJJcpMRMREREREcllSsxERERERERymRIzERERERGRXKbETEREREREJJcpMRMREREREcllSsxERERERERymRIzEcmy8PBwihUrxtmzZ3M7FBEREZEnihIzkSfQgQMH6Nq1K0WLFsXe3h57e3uKFSvGq6++yp49ex6ozZkzZ7J69WpWr15NwYIF021fvHgxpUqVwt7eHpPJRExMDKNGjcJkMv3b7uSIyMhITCYTx48fz9H2HvR8Pkw53ddNmzZhMpmMl5WVFZ6enrRt25bY2NgcOcb9FC5cmIiIiEdyrHvJ7ev54sWLFChQgEWLFhllq1atYtSoUY/k+OvXr8fJyYn//e9/j+R4Oa1169aYTCb69u2bab1+/frh7OxMly5dOHnyJN7e3iQkJDyiKDN393cxMjIywzr16tXDZDJRuHDhhx7Pg34vTSbTA1+3ERERj6RvIrlBiZnIE2bmzJk899xz7Nq1i9dee40VK1awcuVKBgwYwG+//UblypWJi4vLVpv79+/nnXfeYdWqVRQpUiTd9rNnzxIWFkbRokWJiopix44dFC9enG7durFjx46c6prksg8//JAdO3awceNGhg4dytq1a6levfp/9od6duX29Tx69Gh8fHxo166dUbZq1SpGjx79SI5fv359qlSpwltvvfVIjpeTzpw5w4oVKwBYsGABN27cyLDelStXmDlzJvPmzePq1asEBATQoEEDChUq9CjDvS9nZ2dmz56drjw+Pp5Nmzbh4uLySOL4/vvvGT58eLb327FjB926dXugYw4fPpzvv//+gfYVedzlze0ARCTnbNu2jd69e9OsWTO+/fZbbGxsjG316tWjT58+fPPNN9jb22fazrVr13BwcDDeV6hQIdPpi0eOHCEpKYlXXnmF2rVrG+UODg48++yz/6JHkvazyE3FihWjatWqANSqVYt8+fLRtWtXIiMjefvttzPc53GK/9969tlnc+16Pn/+PDNnzmTSpEm5OmrXp08f2rVrx/vvv4+vr2+uxXG369ev3/dv2ldffUVSUhLNmjVj5cqVfPfdd3To0CFdPScnJ27dugVAq1atHka4OaJdu3Z88cUXHD16lGLFihnlc+bM4ZlnnqFMmTIcOnToocdRoUKFB9ov9e/IgyhatOgD7yvyuNOImcgT5MMPP8TKyoqZM2daJGV3a9u2LT4+Psb7iIgInJyc+PXXX2nUqBHOzs7Ur18fgLVr19KyZUueffZZ7OzsCAgI4NVXX+Wff/6x2L9GjRrAnR8LJpOJOnXqAPee+rVw4UKCg4NxcnLCycmJ8uXLp/vX3zlz5lCuXDns7OzInz8/L774Ypanze3cuZPq1atjZ2eHj48Pw4YNIykpKcO6ixcvJjg4GEdHR5ycnAgJCWH//v1ZOg7AhQsX6Ny5M/nz58fR0ZEWLVrwxx9/WNTJynmE/ztf+/bt46WXXsLNze2+P0IeZV/TSv1x9eeff943/hs3bjBs2DD8/f2xsbHhmWeeoU+fPly8eNGizaSkJIYMGYKXlxcODg7UqFGD3bt3pzv2va6te03jzMo1FxUVRf369XF1dcXBwYGSJUsyZsyYTI+ZkpLC+PHjKVGiBLa2tnh4eBAeHs5ff/1lUa9OnTqULl2a6OhoatasiYODA0WKFGHs2LGkpKRkcpb/r1+3b9+2GC2LiIjgk08+AbCYapra96ye88KFC9O8eXOioqKoWLEi9vb2lChRgjlz5qSLo0WLFjg5OTFr1qz7xpz6t+W3336jfv36ODo6UrBgQfr27cu1a9cs6mY31u+++44KFSpgZ2eXpRHDOXPm4Onpydy5c7G3t8+wb6nXzsaNG+nVqxcFChTA3d2d1q1bc/LkSYu6Wf3c09qyZQsmk4mvv/463bavvvoKk8lEdHT0ffvTsGFDfH19LfqRkpLC3Llz6dSpE3nyWP68O378+D2nP6adVph6nf/222+8/PLLuLq64unpSZcuXUhMTLTYN6OpjBcvXmTQoEEUKVLEODdNmzbl999/v+cxU8/92rVr7/v3NKOpjFm9fkQed0rMRJ4QycnJbNy4kUqVKuHt7Z2tfW/dusULL7xAvXr1+OGHH4wfOkeOHKFy5cpMnz6d1atXM2LECHbu3EmNGjWMH//Dhw83fhymTnX79NNP73msESNG0LFjR3x8fIiMjOT777+nU6dOxo97gDFjxtC1a1dKlSrFd999x5QpUzhw4ADBwcEcPXo0074cOnSI+vXrc/HiRSIjI/nss8/Yv38/77//frq6H374IS+//DJBQUEsWbKEefPmcfnyZWrWrJnlf23u2rUrefLkYeHChUyePJndu3dTp04dix8EcXFxBAcHM2PGDNasWcOIESPYtWuXxXm8W+vWrQkICOCbb77hs88+e2z6mtaxY8cA0t1zmDZ+s9lMq1atmDBhAmFhYaxcuZKBAwcyd+5c6tWrx82bN419u3fvzoQJEwgPD+eHH36gTZs2tG7dmgsXLjxQjJC1a2727Nk0bdqUlJQUPvvsM3788Uf69+9/3x/avXr1YujQoTRs2JDly5fz3nvvERUVRbVq1dIl3qdPn6Zjx4688sorLF++nCZNmjBs2DDmz59/3z6sXLmSChUqkC9fPqNs+PDhvPTSS8CdqWGpL29v72ydc4BffvmFQYMG8frrr/PDDz9QtmxZunbtys8//2xRz8bGhmrVqrFy5cr7xgx3Eu2mTZtSv359li1bRt++fZk5c6ZFgpndWPft28cbb7xB//79iYqKok2bNpnGsH37dmJjYwkPD8fd3Z02bdqwYcMG4uPjM6zfrVs3rK2tWbhwIePHj2fTpk288sorFnWy87nfrWbNmlSoUMH4m3m36dOnU7lyZSpXrpxpfwDy5MlDREQEX331FcnJyQCsWbOGv/76i86dO993/6xo06YNxYsXZ+nSpbz55pssXLiQ119/PdN9Ll++TI0aNZg5cyadO3fmxx9/5LPPPqN48eKcOnXqvsfMyt/TtLJ7/Yg81swi8kQ4ffq0GTC3b98+3bbbt2+bk5KSjFdKSoqxrVOnTmbAPGfOnCwdJyEhwQyYf/jhB6Ns48aNZsD8zTffWNQdOXKk+e4/M3/88YfZysrK3LFjx3u2f+HCBbO9vb25adOm6Y5ra2tr7tChQ6bxtWvXzmxvb28+ffq0UXb79m1ziRIlzIA5Pj7eaC9v3rzmfv36Wex/+fJls5eXlzk0NDTT43z55ZdmwPziiy9alG/bts0MmN9///0M90tJSTEnJSWZ//zzz3TnMfV8jRgxItNjP+q+pn6+ixcvNiclJZmvXbtm/vnnn80BAQFmKysr8y+//JJp/FFRUWbAPH78eIvyxYsXmwHz559/bjabzebY2FgzYH799dct6i1YsMAMmDt16mSUpb22UqV+Lql9z8o1d/nyZbOLi4u5Ro0aFt+NtNIeMzXe3r17W9TbtWuXGTC/9dZbRlnt2rXNgHnXrl0WdYOCgswhISH3PGYqBwcHc8+ePdOV9+nTJ8PzkNVzbjabzX5+fmY7Ozvzn3/+aZRdv37dnD9/fvOrr76aru23337bnCdPHvOVK1cyjTn1b8uUKVMsyj/44AMzYN66desDxWplZWU+fPhwpse+W5cuXcyAOTY21mw2/9/1PHz4cIt6qddO2s9z/PjxZsB86tQps9mcvc89I6nH2b9/v1G2e/duM2CeO3dupvve/bf2jz/+MJtMJvOKFSvMZrPZ3LZtW3OdOnXMZrPZ3KxZM7Ofn5+xX3x8vBkwf/nll+naBMwjR4403qde52k/j969e5vt7OwsviN+fn4W38t3333XDJjXrl2baT/SHjM7f087depk0bfsXD8ijzuNmIk8BZ577jmsra2N18SJE9PVyehfnc+fP8/AgQMpUaIELi4u2NnZGfczPMhqfGvXriU5OZk+ffrcs86OHTu4fv16uukxvr6+1KtXj/Xr12d6jI0bN1K/fn08PT2NMisrK4t/oQdYvXo1t2/fJjw8nNu3bxsvOzs7ateuzaZNm7LUp44dO1q8r1atGn5+fmzcuNEoO3PmDD179sTX15e8efNibW2Nn58fkPF5vN8IQG71tV27dlhbW+Pg4ECtWrVITk7m22+/pWzZspnGv2HDBoB0n2nbtm1xdHQ0PtPUc5b2nIaGhpI374PdEp2Va2779u1cunSJ3r17Z+v+rdR40/arSpUqlCxZMt216uXlRZUqVSzKypYtazFyl5GLFy9y7do1PDw8shxbVs95qvLly1sscGFnZ0fx4sUzjM3Dw4OUlBROnz6dpVjSfp6p93alnr/sxlq2bFmKFy+epWNfuXKFJUuWUK1aNUqUKAFA7dq1KVq0KJGRkRlOI33hhRfSHQ/+b8pudj/3tF5++WU8PDwsRs2mTZtGwYIF0313M+Pv70+dOnWYM2cO586d44cffqBLly5Z3v9+MjoPN27c4MyZM/fc56effqJ48eI0aNDggY6Zlb+naWX3+hF5nGnxD5EnRIECBbC3t8/wh9TChQu5du0ap06dSvd/tnBnkY60q3iZzWYaNWrE//73P95//33Kli2Lk5MTycnJlClThuvXr2c7xtQFRDJbQOHcuXMAGU7H9PHxYe3atZke49y5c3h5eaUrT1v2999/A9xz2lDaezTu5V7HSu1HSkoKjRo14uTJkwwfPpwyZcrg6OhISkoKVatWzfA8ZnUq6qPu67hx46hXrx5WVlYUKFDgnos/pI3/3Llz5M2bN92UR5PJZHGuUv83bfx58+bF3d09SzGmlZVrLit1MnK/azXtdzGjPtja2t73u5S63c7OLluxZeWcP0hsqXFk5W9ARp9d6ud79+eenVizM1V78eLFXLlyhdDQUIvpcKGhoYwZM4a1a9cSEhJisU/aeG1tbYH/6292P/e0bG1tefXVV5k4cSIfffQRSUlJLFmyhIEDBxrHyqquXbvSuXNnPv74Y+zt7Y2prTnhfuchI2fPnv1XK1je7+9pRrJ7/Yg8zpSYiTwhrKysqFevHmvWrOHUqVMWPxqCgoIA7vlcq4xGCQ4ePMjevXv56quvCAsLM8qPHDnywDGm/h/nX3/9dc8f9ak/BjK6H+HkyZMUKFAg02O4u7tn+C/5actS2/n222+N0asHca9jBQQEAHfO4y+//EJkZCSdOnUy6qTen5WRrI7aPOq+FilShEqVKt23Xtr43d3duX37NmfPnrX48WQ2mzl9+rSRMKZ+9qdPn+aZZ54x6t2+fTvdj6vU5ODmzZsWP2bT3t+TlWvu7jrZcfe1mjapy8q1mt3jnD9/Plv7ZOWcP4jUOLLSv9TP7u4f+anXZ2pZdmPNzqhm6gIvAwYMYMCAARluT5uY3U9OfO69evVi7NixzJkzhxs3bnD79m169uyZrTjgzv2cffr0YezYsXTv3v2eq1Pe/X25W04nLQULFsz29+hu9/t7mpGHea2LPGqayijyBBk2bBjJycn07NnznivzZZXZbAbuJHx3y2wxivtp1KgRVlZWzJgx4551goODsbe3T7cgwl9//cWGDRuMFSPvpW7duqxfv94YJYI7C6MsXrzYol5ISAh58+YlLi6OSpUqZfjKigULFli83759O3/++aexMmXqj8i0/xI+c+bMLLWfmUfd1weV+pml/UyXLl3K1atXje2p5yztOV2yZAm3b9+2KEtdle3AgQMW5T/++KPF+6xcc9WqVcPV1dVYqCSr6tWrB6TvV3R0NLGxsfe9VrPKxsaGIkWKZPj8wXuNYmT1nD+IP/74A3d3d4sptJlJ+3kuXLgQ+L/P+2HFGhsby44dO2jTpg0bN25M96pfvz4//PBDtpOTnPjcvb29adu2LZ9++imfffYZLVq0eKCRJnt7e0aMGEGLFi3o1avXPet5enpiZ2eX7vvyww8/ZPuYmWnSpAlHjhwxphdm1/3+nmbkYV7rIo+aRsxEniDVq1fnk08+oV+/flSsWJEePXpQqlQp8uTJw6lTp1i6dClAlh4+WrJkSYoUKcKwYcMwm824u7uzfPly1q1b98DxFS5cmLfeeov33nuP69evG0sxHzp0iH/++YfRo0eTL18+hg8fzltvvUV4eDgvv/wy586dY/To0djZ2TFy5MhMj/HOO++wfPly6tWrx4gRI3BwcOCTTz7h6tWr6WJ59913efvtt/njjz9o3Lgxbm5u/P333+zevRtHR8csLcO9Z88eunXrRtu2bTlx4gRvv/02zzzzDL179wagRIkSFC1alDfffBOz2Uz+/Pn58ccf7zslMysedV8fVMOGDQkJCWHo0KFcunSJ6tWrc+DAAUaOHEmFChWMEdmSJUvyyiuvMHnyZKytrWnQoAEHDx5kwoQJ6a7Zpk2bkj9/frp27cq7775L3rx5iYyM5MSJE+n6fr9rzsnJiYkTJ9KtWzcaNGhA9+7d8fT05NixY/zyyy9Mnz49w34FBgbSo0cPpk2bRp48eWjSpAnHjx9n+PDh+Pr63ncFu+yoU6cOP/30U7ryMmXKAHemmTZp0gQrKyvKli2b5XP+IHbu3Ent2rWzNHJlY2PDxIkTuXLlCpUrV2b79u28//77NGnSxHjMxsOKNXW0bMiQIenu7YM7KwiuX7+e+fPn89prr2W53Zz63F977TWef/55AL788sssHz+tgQMHMnDgwEzrmEwmXnnlFebMmUPRokUpV64cu3fvNpLknDJgwAAWL15My5YtefPNN6lSpQrXr19n8+bNNG/enLp162a6//3+nmbkYV7rIo9cri07IiIPTUxMjLlz585mf39/s62trdnOzs4cEBBgDg8PN69fv96ibqdOncyOjo4ZtnPo0CFzw4YNzc7OzmY3Nzdz27ZtjVUZ715RK6urMqb66quvzJUrVzbb2dmZnZyczBUqVEi3WtgXX3xhLlu2rNnGxsbs6upqbtmypfm3337LUv+3bdtmrlq1qtnW1tbs5eVlfuONN8yff/65xWp9qZYtW2auW7eu2cXFxWxra2v28/Mzv/TSS+Z169ZleozUVcTWrFljDgsLM+fLl89YTfLo0aMWdbN6HlPP19mzZ7PUz0fV13t9vmllFv/169fNQ4cONfv5+Zmtra3N3t7e5l69epkvXLhgUe/mzZvmQYMGmT08PMx2dnbmqlWrmnfs2JFu9Tez+c5KdtWqVTM7Ojqan3nmGfPIkSPNX3zxRYZ9z8o1t2rVKnPt2rXNjo6OZgcHB3NQUJB53Lhx6fp3t+TkZPO4cePMxYsXN1tbW5sLFChgfuWVV8wnTpywqFe7dm1zqVKl0p2XtCvM3cv69evNgHn37t3pzle3bt3MBQsWNJtMJou+Z/Wc+/n5mZs1a5bumLVr1zbXrl3bouzYsWNmwLx06dL7xpz6t+XAgQPmOnXqmO3t7c358+c39+rVK92Kjv821rRu3bpl9vDwMJcvX/6edW7fvm1+9tlnzWXKlDGbzf/3nY6Ojraol3r9b9y40SjL6ud+P4ULFzaXLFkyy/Wz+l1Muyqj2Ww2JyYmmrt162b29PQ0Ozo6mlu0aGE+fvx4lv8OpV3x1GxOvyqj2XxnZd3XXnvNXKhQIbO1tbXZw8PD3KxZM/Pvv/9u1El7zOz8Pc3oO5PV60fkcWcym7Mxb0NERERyRdmyZalevXqm0zIftuHDh/PVV18RFxd335UyIyIi+Pbbb7ly5cojiu6/5cCBA5QrV45PPvkk0xGhp0FkZCSdO3cmOjr6oU+tFnmc6R4zERGR/4Dx48cTGRn5rxZX+DcuXrzIJ598wocffvjAjy+QOw+c37BhAz169MDb2zvdMu8i8vRSYiYiIvIf0LhxYz766CPi4+Nz5fjx8fEMGzbMeA6ZPJj33nuPhg0bcuXKFb755hscHBxyOyQReUxoKqOIiIiIiEgu04iZiIiIiIhILlNiJiIiIiIiksuUmImIiIiIiOQyLauUg1JSUjh58iTOzs5ZevCmiIiIiIg8mcxmM5cvX8bHx4c8ee4/HqbELAedPHkSX1/f3A5DREREREQeEydOnODZZ5+9bz0lZjnI2dkZuHPyXVxccjkaERERERHJLZcuXcLX19fIEe5HiVkOSp2+6OLiosRMRERERESyfIuTFv8QERERERHJZUrMREREREREcpkSMxERERERkVyme8xEREREniJms5nbt2+TnJyc26GI/KdZWVmRN2/eHHtMlhIzERERkafErVu3OHXqFNeuXcvtUESeCA4ODnh7e2NjY/Ov21JiJiIiIvIUSElJIT4+HisrK3x8fLCxscmxf+kXedqYzWZu3brF2bNniY+Pp1ixYll6iHRmlJiJiIiIPAVu3bpFSkoKvr6+ODg45HY4Iv959vb2WFtb8+eff3Lr1i3s7Oz+VXta/ENERETkKfJv/1VfRP5PTn6f9M0UERERERHJZUrMREREREREcpkSMxERERGRx8CoUaMoX758bochuUSJmYiIiIhIJiIiIjCZTJhMJqytrSlSpAiDBw/m6tWruR1apjZt2oTJZOLixYu5HYpkQa4mZj///DMtWrTAx8cHk8nEsmXLLLanfgHSvj766COjTp06ddJtb9++vUU7Fy5cICwsDFdXV1xdXQkLC0t3gSYkJNCiRQscHR0pUKAA/fv359atWw+r6yIiIiLyH9K4cWNOnTrFH3/8wfvvv8+nn37K4MGD09VLSkrKhejkSZCridnVq1cpV64c06dPz3D7qVOnLF5z5szBZDLRpk0bi3rdu3e3qDdz5kyL7R06dCAmJoaoqCiioqKIiYkhLCzM2J6cnEyzZs24evUqW7duZdGiRSxdupRBgwblfKdFRERE5D/H1tYWLy8vfH196dChAx07dmTZsmXG9MM5c+ZQpEgRbG1tMZvNJCQk0LJlS5ycnHBxcSE0NJS///7bos2xY8fi6emJs7MzXbt25caNGxbb69Spw4ABAyzKWrVqRUREhPH+5s2bDBkyBF9fX2xtbSlWrBizZ8/m+PHj1K1bFwA3NzdMJpOx382bN+nfvz8eHh7Y2dlRo0YNoqOjc/ycSfbk6nPMmjRpQpMmTe653cvLy+L9Dz/8QN26dSlSpIhFuYODQ7q6qWJjY4mKimLnzp08//zzAMyaNYvg4GAOHz5MYGAga9as4dChQ5w4cQIfHx8AJk6cSEREBB988AEuLi7/ppsiIiIi8oSxt7c3RseOHTvGkiVLWLp0KVZWVsCdBMrR0ZHNmzdz+/ZtevfuTbt27di0aRMAS5YsYeTIkXzyySfUrFmTefPmMXXq1HS/c+8nPDycHTt2MHXqVMqVK0d8fDz//PMPvr6+LF26lDZt2nD48GFcXFywt7cHYMiQISxdupS5c+fi5+fH+PHjCQkJ4dixY+TPnz/nTpJky3/mAdN///03K1euZO7cuem2LViwgPnz5+Pp6UmTJk0YOXIkzs7OAOzYsQNXV1cjKQOoWrUqrq6ubN++ncDAQHbs2EHp0qWNpAwgJCSEmzdvsnfvXuNfG9K6efMmN2/eNN5funQpp7orIiIiIo+p3bt3s3DhQurXrw/ceXj3vHnzKFiwIABr167lwIEDxMfH4+vrC8C8efMoVaoU0dHRVK5cmcmTJ9OlSxe6desGwPvvv8+6devSjZpl5siRIyxZsoS1a9fSoEEDAIvELjXJ8vDwIF++fMCdGWszZswgMjLSGCCZNWsWa9euZfbs2bzxxhv/4szIv/GfWfxj7ty5ODs707p1a4vyjh078vXXX7Np0yaGDx/O0qVLLeqcPn0aDw+PdO15eHhw+vRpo46np6fFdjc3N2xsbIw6GRkzZoxx35qrq6vxxRMRERGRJ8uKFStwcnLCzs6O4OBgatWqxbRp0wDw8/MzkjK4M2PL19fX4rdhUFAQ+fLlIzY21qgTHBxscYy07+8nJiYGKysrateuneV94uLiSEpKonr16kaZtbU1VapUMWKT3PGfGTGbM2cOHTt2xM7OzqK8e/fuxn+XLl2aYsWKUalSJfbt20fFihWBO4uIpGU2my3Ks1InrWHDhjFw4EDj/aVLl5SciYiIiDyB6taty4wZM7C2tsbHxwdra2tjm6Ojo0Xde/2GvN9vy7Ty5MmD2Wy2KLt7cZHUqYnZkdpe2jiyG5vkvP/EiNmWLVs4fPiwMdSbmYoVK2Jtbc3Ro0eBO/eppb3REuDs2bPGKJmXl1e6kbELFy6QlJSUbiTtbra2tri4uFi8REREROTJ4+joSEBAAH5+fhZJWUaCgoJISEjgxIkTRtmhQ4dITEykZMmSAJQsWZKdO3da7Jf2fcGCBTl16pTxPjk5mYMHDxrvy5QpQ0pKCps3b84wDhsbG2O/VAEBAdjY2LB161ajLCkpiT179hixSe74TyRms2fP5rnnnqNcuXL3rfvbb7+RlJSEt7c3cGdIODExkd27dxt1du3aRWJiItWqVTPqHDx40OLCX7NmDba2tjz33HM53BsRyW1eG2NyOwQREXmCNWjQgLJly9KxY0f27dvH7t27CQ8Pp3bt2lSqVAmA1157jTlz5jBnzhyOHDnCyJEj+e233yzaqVevHitXrmTlypX8/vvv9O7d2+KRT4ULF6ZTp0506dKFZcuWER8fz6ZNm1iyZAlwZ4qlyWRixYoVnD17litXruDo6EivXr144403iIqK4tChQ3Tv3p1r167RtWvXR3aOJL1cTcyuXLlCTEwMMTExAMTHxxMTE0NCQoJR59KlS3zzzTcZjpbFxcXx7rvvsmfPHo4fP86qVato27YtFSpUMObNlixZksaNG9O9e3d27tzJzp076d69O82bNycwMBCARo0aERQURFhYGPv372f9+vUMHjyY7t27axRMRERERLIl9fm8bm5u1KpViwYNGlCkSBEWL15s1GnXrh0jRoxg6NChPPfcc/z555/06tXLop0uXbrQqVMnI6nz9/dPtyjdjBkzeOmll+jduzclSpSge/fuxoOvn3nmGUaPHs2bb76Jp6cnffv2Be4s09+mTRvCwsKoWLEix44dY/Xq1bi5uT3kMyOZMZnTTlx9hDZt2pThioedOnUiMjISgM8//5wBAwZw6tQpXF1dLeqdOHGCV155hYMHD3LlyhV8fX1p1qwZI0eOtFjq8/z58/Tv35/ly5cD8MILLzB9+nRjdRq484Dp3r17s2HDBuzt7enQoQMTJkzA1tY2y/25dOkSrq6uJCYmKqETeYx5bYzhdN3yuR2GiMgjdePGDeLj4/H39093z76IPJjMvlfZzQ1yNTF70igxE/lvUGImIk8jJWYiOS8nE7P/xD1mIiIiIiIiTzIlZiIiIiIiIrlMiZmIiIiIiEguU2ImIiIiIiKSy5SYiYiIiIiI5DIlZiIiIiIiIrlMiZmIiIiIiEguU2ImIiIiIiKSy/LmdgAiIiIikrsKv7nykR7v+Nhmj/R48vQqXLgwAwYMYMCAAbkdyn1pxExERERERCSXKTETERERkSdOUlJSurJbt27lQiQiWaPETEREREQee1FRUdSoUYN8+fLh7u5O8+bNiYuLA+D48eOYTCaWLFlCnTp1sLOzY/78+URERNCqVSvGjBmDj48PxYsXB+DXX3+lXr162Nvb4+7uTo8ePbhy5YpxLJPJlO5VuHDhe8b2559/0qJFC9zc3HB0dKRUqVKsWrXK2H7o0CGaNm2Kk5MTnp6ehIWF8c8//xjbU1JSGDduHAEBAdja2lKoUCE++OADY/vQoUMpXrw4Dg4OFClShOHDh1sknqNGjaJ8+fLMmzePwoUL4+rqSvv27bl8+bJR5+bNm/Tv3x8PDw/s7OyoUaMG0dHRmZ7zu89rzZo1sbe3p3Llyhw5coTo6GgqVaqEk5MTjRs35uzZs8Z+0dHRNGzYkAIFCuDq6krt2rXZt2+fRdsmk4kvvviCF198EQcHB4oVK8by5cuN7ZGRkeTLl89in2XLlmEymYz3cXFxtGzZEk9PT5ycnKhcuTLr1q3LtE+PMyVmIiIiIvLYu3r1KgMHDiQ6Opr169eTJ08eXnzxRVJSUow6Q4cOpX///sTGxhISEgLA+vXriY2NZe3ataxYsYJr167RuHFj3NzciI6O5ptvvmHdunX07dvXaOfUqVPG69ixYwQEBFCrVq17xtanTx9u3rzJzz//zK+//sq4ceNwcnIy2qpduzbly5dnz549REVF8ffffxMaGmrsP2zYMMaNG8fw4cM5dOgQCxcuxNPT09ju7OxMZGQkhw4dYsqUKcyaNYtJkyZZxBAXF8eyZctYsWIFK1asYPPmzYwdO9bYPmTIEJYuXcrcuXPZt28fAQEBhISEcP78+fue+5EjR/LOO++wb98+8ubNy8svv8yQIUOYMmUKW7ZsIS4ujhEjRhj1L1++TKdOndiyZQs7d+6kWLFiNG3a1CJRBBg9ejShoaEcOHCApk2b0rFjxyzFk+rKlSs0bdqUdevWsX//fkJCQmjRogUJCQlZbuNxosU/REREROSx16ZNG4v3s2fPxsPDg0OHDhlJ0IABA2jdurVFPUdHR7744gtsbGwAmDVrFtevX+err77C0dERgOnTp9OiRQvGjRuHp6cnXl5eAJjNZtq0aYOrqyszZ868Z2wJCQm0adOGMmXKAFCkSBFj24wZM6hYsSIffvihUTZnzhx8fX05cuQI3t7eTJkyhenTp9OpUycAihYtSo0aNYz677zzjvHfhQsXZtCgQSxevJghQ4YY5SkpKURGRuLs7AxAWFgY69ev54MPPuDq1avMmDGDyMhImjRpYpyHtWvXMnv2bN544417n3hg8ODBRqL72muv8fLLL7N+/XqqV68OQNeuXYmMjDTq16tXz2L/mTNn4ubmxubNm2nevLlRHhERwcsvvwzAhx9+yLRp09i9ezeNGzfONJ5U5cqVo1y5csb7999/n++//57ly5dbJNr/FRoxExEREZHHXlxcHB06dKBIkSK4uLjg7+8PYDE6UqlSpXT7lSlTxkjKAGJjYylXrpyRlAFUr16dlJQUDh8+bLHvW2+9xY4dO1i2bBn29vYAlCpVCicnJ5ycnIwkp3///rz//vtUr16dkSNHcuDAAaONvXv3snHjRmMfJycnSpQoYfQpNjaWmzdvUr9+/Xv2/dtvv6VGjRp4eXnh5OTE8OHD040KFS5c2EjKALy9vTlz5oxxnKSkJCORArC2tqZKlSrExsYC0LNnT4sY71a2bFnjv1NH8lKT0NSy1GMBnDlzhp49e1K8eHFcXV1xdXXlypUr6WK+u11HR0ecnZ0t2rmfq1evMmTIEIKCgsiXLx9OTk78/vvvGjETEREREXlYWrRoga+vL7NmzcLHx4eUlBRKly5tsaDH3cnWvcrMZrPFfUp3u7t8/vz5TJo0iU2bNvHss88a5atWrTLu70pN1rp160ZISAgrV65kzZo1jBkzhokTJ9KvXz9SUlKM0bi0vL29+eOPPzLt986dO2nfvj2jR48mJCQEV1dXFi1axMSJEy3qWVtbp+tL6jRPs9mcrn9pz8W7777L4MGDM4zh7rZT66ctu3tKaUREBGfPnmXy5Mn4+flha2tLcHBwusVXMos5T548Rtyp0i7o8sYbb7B69WomTJhAQEAA9vb2vPTSS//ZRV6UmImIiIjIY+3cuXPExsYyc+ZMatasCcDWrVsfqK2goCDmzp3L1atXjaRt27Zt5MmTx1gcZMeOHXTr1o2ZM2dStWpVi/39/PwybNfX15eePXvSs2dPhg0bxqxZs+jXrx8VK1Zk6dKlFC5cmLx50//0LlasGPb29qxfv55u3bql275t2zb8/Px4++23jbI///wzW30OCAjAxsaGrVu30qFDB+BOkrNnzx7j+V4eHh54eHhkq9172bJlC59++ilNmzYF4MSJExaLnWRFwYIFuXz5ssXnFBMTk+44ERERvPjii8Cde86OHz/+r+PPLZrKKCIiIiKPNTc3N9zd3fn88885duwYGzZsYODAgQ/UVseOHbGzs6NTp04cPHiQjRs30q9fP8LCwvD09OT06dO8+OKLtG/fnpCQEE6fPs3p06ctVh1Ma8CAAaxevZr4+Hj27dvHhg0bKFmyJHBnYZDz58/z8ssvs3v3bv744w/WrFlDly5dSE5Oxs7OjqFDhzJkyBC++uor4uLi2LlzJ7NnzwbuJFUJCQksWrSIuLg4pk6dyvfff5+tPjs6OtKrVy/eeOMNoqKiOHToEN27d+fatWt07dr1gc5jZgICApg3bx6xsbHs2rWLjh07GqOLWfX888/j4ODAW2+9xbFjx1i4cKHFfWypx/nuu++IiYnhl19+oUOHDhYjd/81GjETERERecodH9sst0PIVJ48eVi0aBH9+/endOnSBAYGMnXqVOrUqZPtthwcHFi9ejWvvfYalStXxsHBgTZt2vDxxx8D8Pvvv/P3338zd+5c5s6da+zn5+d3z9GY5ORk+vTpw19//YWLiwuNGzc2Vk308fFh27ZtDB06lJCQEG7evImfnx+NGzcmT547YyTDhw8nb968jBgxgpMnT+Lt7U3Pnj0BaNmyJa+//jp9+/bl5s2bNGvWjOHDhzNq1Khs9Xvs2LGkpKQQFhbG5cuXqVSpEqtXr8bNzS2bZ/D+5syZQ48ePahQoQKFChXiww8/vOc0yXvJnz8/8+fP54033uDzzz+nQYMGjBo1ih49ehh1Jk2aRJcuXahWrRoFChRg6NChXLp0Kae788iYzGknb8oDu3TpEq6uriQmJuLi4pLb4YjIPXhtjOF03fK5HYaIyCN148YN4uPj8ff3x87OLrfDEXkiZPa9ym5uoKmMIiIiIiIiuUyJmYiIiIiISC5TYiYiIiIiIpLLlJiJiIiIiIjkMiVmIiIiIiIiuUyJmYiIiIiISC5TYiYiIiIiIpLLlJiJiIiIiIjkMiVmIiIiIiIiuSxvbgcgIiIiIrlslOsjPl5itqrXqVOH8uXLM3ny5IcTj8hjQCNmIiIiIvJE27RpEyaTiYsXL2Zrv+PHj2MymYiJiXkocYncTYmZiIiIiIhILlNiJiIiIiKPvdu3b9O3b1/y5cuHu7s777zzDmazGYD58+dTqVIlnJ2d8fLyokOHDpw5cwa4M+pVt25dANzc3DCZTERERAAQFRVFjRo1jDabN29OXFyccUx/f38AKlSogMlkok6dOgBER0fTsGFDChQogKurK7Vr12bfvn2P6EzIk0qJmYiIiIg89ubOnUvevHnZtWsXU6dOZdKkSXzxxRcA3Lp1i/fee49ffvmFZcuWER8fbyRfvr6+LF26FIDDhw9z6tQppkyZAsDVq1cZOHAg0dHRrF+/njx58vDiiy+SkpICwO7duwFYt24dp06d4rvvvgPg8uXLdOrUiS1btrBz506KFStG06ZNuXz58qM8JfKE0eIfIiIiIvLY8/X1ZdKkSZhMJgIDA/n111+ZNGkS3bt3p0uXLka9IkWKMHXqVKpUqcKVK1dwcnIif/78AHh4eJAvXz6jbps2bSyOMXv2bDw8PDh06BClS5emYMGCALi7u+Pl5WXUq1evnsV+M2fOxM3Njc2bN9O8efOc7ro8JTRiJiIiIiKPvapVq2IymYz3wcHBHD16lOTkZPbv30/Lli3x8/PD2dnZmHKYkJCQaZtxcXF06NCBIkWK4OLiYkxdvN9+Z86coWfPnhQvXhxXV1dcXV25cuXKffcTyYxGzERERETkP+vGjRs0atSIRo0aMX/+fAoWLEhCQgIhISHcunUr031btGiBr68vs2bNwsfHh5SUFEqXLn3f/SIiIjh79iyTJ0/Gz88PW1tbgoOD77ufSGaUmImIiIjIY2/nzp3p3hcrVozff/+df/75h7Fjx+Lr6wvAnj17LOra2NgAkJycbJSdO3eO2NhYZs6cSc2aNQHYunXrffcD2LJlC59++ilNmzYF4MSJE/zzzz//tovylNNURhERERF57J04cYKBAwdy+PBhvv76a6ZNm8Zrr71GoUKFsLGxYdq0afzxxx8sX76c9957z2JfPz8/TCYTK1as4OzZs1y5cgU3Nzfc3d35/PPPOXbsGBs2bGDgwIEW+3l4eGBvb09UVBR///03iYl3HowdEBDAvHnziI2NZdeuXXTs2BF7e/tHdi7kyaQRMxEREZGn3ajE3I7gvsLDw7l+/TpVqlTBysqKfv360aNHD0wmE5GRkbz11ltMnTqVihUrMmHCBF544QVj32eeeYbRo0fz5ptv0rlzZ8LDw4mMjGTRokX079+f0qVLExgYyNSpU4370wDy5s3L1KlTeffddxkxYgQ1a9Zk06ZNzJkzhx49elChQgUKFSrEhx9+yODBg3PhrMiTxGROfQCE/GuXLl3C1dWVxMREXFxccjscEbkHr40xnK5bPrfDEBF5pG7cuEF8fDz+/v7Y2dnldjgiT4TMvlfZzQ00lVFERERERCSXKTETERERERHJZUrMREREREREcpkSMxERERERkVymxExERERERCSXKTETERERERHJZUrMREREREREcpkSMxERERERkVymxExERERERCSX5c3tAEREREQkd5WZW+aRHu/XTr8+0uOJ/BdoxExERERERCSXKTETERERERHJZbmamP3888+0aNECHx8fTCYTy5Yts9geERGByWSyeFWtWtWizs2bN+nXrx8FChTA0dGRF154gb/++suizoULFwgLC8PV1RVXV1fCwsK4ePGiRZ2EhARatGiBo6MjBQoUoH///ty6dethdFtEREREsiElJYVx48YREBCAra0thQoV4oMPPgDg119/pV69etjb2+Pu7k6PHj24cuWKxf5z5syhVKlS2Nra4u3tTd++fY1tCQkJtGzZEicnJ1xcXAgNDeXvv/9+pP0TgVxOzK5evUq5cuWYPn36Pes0btyYU6dOGa9Vq1ZZbB8wYADff/89ixYtYuvWrVy5coXmzZuTnJxs1OnQoQMxMTFERUURFRVFTEwMYWFhxvbk5GSaNWvG1atX2bp1K4sWLWLp0qUMGjQo5zstIiIiItkybNgwxo0bx/Dhwzl06BALFy7E09OTa9eu0bhxY9zc3IiOjuabb75h3bp1FonXjBkz6NOnDz169ODXX39l+fLlBAQEAGA2m2nVqhXnz59n8+bNrF27lri4ONq1a5dbXZWnmMlsNptzOwgAk8nE999/T6tWrYyyiIgILl68mG4kLVViYiIFCxZk3rx5xhfo5MmT+Pr6smrVKkJCQoiNjSUoKIidO3fy/PPPA7Bz506Cg4P5/fffCQwM5KeffqJ58+acOHECHx8fABYtWkRERARnzpzBxcUlw+PfvHmTmzdvGu8vXbqEr68viYmJ99xHRHKf18YYTtctn9thiIg8Ujdu3CA+Ph5/f3/s7Owstj3Oi39cvnyZggULMn36dLp162axbdasWQwdOpQTJ07g6OgIwKpVq2jRogUnT57E09OTZ555hs6dO/P++++na3vt2rU0adKE+Ph4fH19ATh06BClSpVi9+7dVK5c+V/0Up4GmX2vLl26hKura5Zzg8f+HrNNmzbh4eFB8eLF6d69O2fOnDG27d27l6SkJBo1amSU+fj4ULp0abZv3w7Ajh07cHV1NZIygKpVq+Lq6mpRp3Tp0kZSBhASEsLNmzfZu3fvPWMbM2aMMT3S1dXV+EKLiIiISM6IjY3l5s2b1K9fP8Nt5cqVM5IygOrVq5OSksLhw4c5c+YMJ0+ezHDf1P19fX0tfsMFBQWRL18+YmNjc74zIpl4rBOzJk2asGDBAjZs2MDEiROJjo6mXr16xijV6dOnsbGxwc3NzWI/T09PTp8+bdTx8PBI17aHh4dFHU9PT4vtbm5u2NjYGHUyMmzYMBITE43XiRMn/lV/RURERMSSvb39PbeZzWZMJlOG20wmU6b7ZrZ/Zu2KPCyPdWLWrl07mjVrRunSpWnRogU//fQTR44cYeXKlZnul/bLlJUv3IN8KW1tbXFxcbF4iYiIiEjOKVasGPb29qxfvz7dtqCgIGJiYrh69apRtm3bNvLkyUPx4sVxdnamcOHCGe6bun9CQoLFP64fOnSIxMRESpYsmfOdEcnEY52YpeXt7Y2fnx9Hjx4FwMvLi1u3bnHhwgWLemfOnDFGwLy8vDJcWefs2bMWddKOjF24cIGkpKR0I2kiIiIi8ujY2dkxdOhQhgwZwldffUVcXBw7d+5k9uzZdOzYETs7Ozp16sTBgwfZuHEj/fr1IywszPgNN2rUKCZOnMjUqVM5evQo+/btY9q0aQA0aNCAsmXL0rFjR/bt28fu3bsJDw+ndu3aVKpUKTe7LU+hvLkdQHacO3eOEydO4O3tDcBzzz2HtbU1a9euJTQ0FIBTp05x8OBBxo8fD0BwcDCJiYns3r2bKlWqALBr1y4SExOpVq2aUeeDDz7g1KlTRttr1qzB1taW55577lF3U0REROSRys5iHLlh+PDh5M2blxEjRnDy5Em8vb3p2bMnDg4OrF69mtdee43KlSvj4OBAmzZt+Pjjj419O3XqxI0bN5g0aRKDBw+mQIECvPTSSwDG45r69etHrVq1yJMnD40bNzYSN5FHKVdXZbxy5QrHjh0DoEKFCnz88cfUrVuX/Pnzkz9/fkaNGkWbNm3w9vbm+PHjvPXWWyQkJBAbG4uzszMAvXr1YsWKFURGRpI/f34GDx7MuXPn2Lt3L1ZWVsCde9VOnjzJzJkzAejRowd+fn78+OOPwJ3l8suXL4+npycfffQR58+fJyIiglatWmXri5ndlVdEJHdoVUYReRpltnqciDyYnFyVMVdHzPbs2UPdunWN9wMHDgTu/MvGjBkz+PXXX/nqq6+4ePEi3t7e1K1bl8WLFxtJGcCkSZPImzcvoaGhXL9+nfr16xMZGWkkZQALFiygf//+xuqNL7zwgsWz06ysrFi5ciW9e/emevXq2Nvb06FDByZMmPCwT4GIiIiIiMjj8xyzJ4FGzET+GzRiJiJPI42YieS8p+o5ZiIiIiIiIk86JWYiIiIiIiK5TImZiIiIiIhILlNiJiIiIiIiksuUmImIiIiIiOQyJWYiIiIiIiK5TImZiIiIiIhILsvVB0yLiIiISO6LLVHykR6v5O+x2apvNpt59dVX+fbbb7lw4QL79++nfPnyDye4DBw/fhx/f/9HftycMGrUKJYtW0ZMTExuhyL3oREzEREREXmsRUVFERkZyYoVKzh16hSlS5d+oHY2bdqEyWTi4sWLORvgY2zw4MGsX78+t8OQLNCImYiIiIg81uLi4vD29qZatWoZbr916xY2NjaPOKrHm9lsJjk5GScnJ5ycnHI7HMkCjZiJiIiIyGMrIiKCfv36kZCQgMlkonDhwtSpU4e+ffsycOBAChQoQMOGDTl+/Dgmk8liyt7FixcxmUxs2rSJ48ePU7duXQDc3NwwmUxEREQAd0bkatSoQb58+XB3d6d58+bExcVlGtehQ4do2rQpTk5OeHp6EhYWxj///GNs//bbbylTpgz29va4u7vToEEDrl69mmFbwcHBvPnmmxZlZ8+exdramo0bNwIwf/58KlWqhLOzM15eXnTo0IEzZ84Y9VNHA1evXk2lSpWwtbVly5YtjBo1ymL6ZUpKCu+++y7PPvsstra2lC9fnqioKGP7rVu36Nu3L97e3tjZ2VG4cGHGjBmT6bmQnKHETEREREQeW1OmTDESiVOnThEdHQ3A3LlzyZs3L9u2bWPmzJn3bcfX15elS5cCcPjwYU6dOsWUKVMAuHr1KgMHDiQ6Opr169eTJ08eXnzxRVJSUjJs69SpU9SuXZvy5cuzZ88eoqKi+PvvvwkNDTW2v/zyy3Tp0oXY2Fg2bdpE69atMZvNGbbXsWNHvv76a4vtixcvxtPTk9q1awN3Eqb33nuPX375hWXLlhEfH28klncbMmQIY8aMITY2lrJly2Z4PidOnMiECRM4cOAAISEhvPDCCxw9ehSAqVOnsnz5cpYsWcLhw4eZP38+hQsXvu/5lX9PUxlFRERE5LHl6uqKs7MzVlZWeHl5GeUBAQGMHz/eeH/8+PFM27GysiJ//vwAeHh4kC9fPmNbmzZtLOrOnj0bDw8PDh06lOH9bDNmzKBixYp8+OGHRtmcOXPw9fXlyJEjXLlyhdu3b9O6dWv8/PwAKFOmzD1ja9euHa+//jpbt26lZs2aACxcuJAOHTqQJ8+dcZQuXboY9YsUKcLUqVOpUqUKV65csZiq+O6779KwYcN7HmvChAkMHTqU9u3bAzBu3Dg2btzI5MmT+eSTT0hISKBYsWLUqFEDk8lkxC8Pn0bMREREROQ/p1KlSjnWVlxcHB06dKBIkSK4uLjg7+8PQEJCQob19+7dy8aNG437t5ycnChRooTRVrly5ahfvz5lypShbdu2zJo1iwsXLgCwZcsWi/0WLFhAwYIFadiwIQsWLAAgPj6eHTt20LFjR+OY+/fvp2XLlvj5+eHs7EydOnUyjDGz83Lp0iVOnjxJ9erVLcqrV69ObOydlTIjIiKIiYkhMDCQ/v37s2bNmqyeRvmXlJiJiIiIyH+Oo6OjxfvUkaW7pwMmJSVlqa0WLVpw7tw5Zs2axa5du9i1axdwZ/pgRlJSUmjRogUxMTEWr6NHj1KrVi2srKxYu3YtP/30E0FBQUybNo3AwEDi4+OpVKmSxT4vvPACcGc647fffktSUhILFy6kVKlSlCtXDrgz1bJRo0Y4OTkxf/58oqOj+f777zOMMe15yYjJZLJ4bzabjbKKFSsSHx/Pe++9x/Xr1wkNDeWll17K0nmUf0eJmYiIiIj85xUsWBC4c39XqrTP7kpduTE5OdkoO3fuHLGxsbzzzjvUr1+fkiVLGqNb91KxYkV+++03ChcuTEBAgMUrNTEymUxUr16d0aNHs3//fmxsbPj++++xt7e3qO/s7AxAq1atuHHjBlFRUSxcuJBXXnnFON7vv//OP//8w9ixY6lZsyYlSpSwWPgjq1xcXPDx8WHr1q0W5du3b6dkyZIW9dq1a8esWbNYvHgxS5cu5fz589k+nmSP7jETERERkf88e3t7qlatytixYylcuDD//PMP77zzjkUdPz8/TCYTK1asoGnTptjb2+Pm5oa7uzuff/453t7eJCQkpFshMa0+ffowa9YsXn75Zd544w0KFCjAsWPHWLRoEbNmzWLPnj2sX7+eRo0a4eHhwa5duzh79qxF8pOWo6MjLVu2ZPjw4cTGxtKhQwdjW6FChbCxsWHatGn07NmTgwcP8t577z3QeXrjjTcYOXIkRYsWpXz58nz55ZfExMQY0ygnTZqEt7c35cuXJ0+ePHzzzTd4eXlZ3JMnD4cSMxEREZGnXMnfY3M7hBwxZ84cunTpQqVKlQgMDGT8+PE0atTI2P7MM88wevRo3nzzTTp37kx4eDiRkZEsWrSI/v37U7p0aQIDA5k6dapxD1dGfHx82LZtG0OHDiUkJISbN2/i5+dH48aNyZMnDy4uLvz8889MnjyZS5cu4efnx8SJE2nSpEmm8Xfs2JFmzZpRq1YtChUqZJQXLFiQyMhI3nrrLaZOnUrFihWZMGGCMQ0yO/r378+lS5cYNGgQZ86cISgoiOXLl1OsWDEAnJycGDduHEePHsXKyorKlSuzatUqY6qoPDwm873W7ZRsu3TpEq6uriQmJuLi4pLb4YjIPXhtjOF03fK5HYaIyCN148YN4uPj8ff3x87OLrfDEXkiZPa9ym5uoNRXREREREQklykxExERERERyWVKzERERERERHKZEjMREREREZFcpsRMREREREQklykxExERERERyWVKzERERERERHKZEjMREREREZFcpsRMREREREQkl+XN7QBEREREJHd90nPDIz1en8/qZat+nTp1KF++PJMnT344AWVTREQEFy9eZNmyZcDjF19OSdtPebiUmImIiIjIUymnEqrvvvsOa2vrnAnqMTJlyhTMZnNuh/HUUGImIiIiIk+VpKSkHE2k8ufPn2NtPQ6Sk5MxmUy4urrmdihPFd1jJiIiIiKPvZSUFIYMGUL+/Pnx8vJi1KhRxraEhARatmyJk5MTLi4uhIaG8vfffxvbR40aRfny5ZkzZw5FihTB1taWTp06sXnzZqZMmYLJZMJkMnH8+HGSk5Pp2rUr/v7+2NvbExgYyJQpUzKNrU6dOgwYMACATZs2Ge3d/YqIiAAgLi6Oli1b4unpiZOTE5UrV2bdunUW7X366acUK1YMOzs7PD09eemll+55Tp599lk+++wzi/J9+/ZhMpn4448/APj4448pU6YMjo6O+Pr60rt3b65cuWLUj4yMJF++fKxYsYKgoCBsbW35888/iYiIoFWrVka9qKgoatSoQb58+XB3d6d58+bExcUZ22/dukXfvn3x9vbGzs6OwoULM2bMmEzPnfwfJWYiIiIi8tibO3cujo6O7Nq1i/Hjx/Puu++ydu1azGYzrVq14vz582zevJm1a9cSFxdHu3btLPY/duwYS5YsYenSpcTExDB16lSCg4Pp3r07p06d4tSpU/j6+hrJzpIlSzh06BAjRozgrbfeYsmSJVmKs1q1akZ7p06dYsOGDdjZ2VGrVi0Arly5QtOmTVm3bh379+8nJCSEFi1akJCQAMCePXvo378/7777LocPHyYqKsrYN608efLQvn17FixYYFG+cOFCgoODKVKkiFFv6tSpHDx4kLlz57JhwwaGDBlisc+1a9cYM2YMX3zxBb/99hseHh7pjnf16lUGDhxIdHQ069evJ0+ePLz44oukpKQAMHXqVJYvX86SJUs4fPgw8+fPp3Dhwlk6b6KpjCIiIiLyH1C2bFlGjhwJQLFixZg+fTrr168H4MCBA8THx+Pr6wvAvHnzKFWqFNHR0VSuXBm4M5ozb948ChYsaLRpY2ODg4MDXl5eRpmVlRWjR4823vv7+7N9+3aWLFlCaGjofeO0sbEx2jt37hzdu3enS5cudOnSBYBy5cpRrlw5o/7777/P999/z/Lly+nbty8JCQk4OjrSvHlznJ2d8fPzo0KFCvc8XseOHfn444/5888/8fPzIyUlhUWLFvHWW28ZdVJH81L7895779GrVy8+/fRTozwpKYlPP/3UIra02rRpY/F+9uzZeHh4cOjQIUqXLk1CQgLFihWjRo0amEwm/Pz87nu+5P9oxExEREREHntly5a1eO/t7c2ZM2eIjY3F19fXSMoAgoKCyJcvH7GxsUaZn5+fRVKWmc8++4xKlSpRsGBBnJycmDVrljGilVVJSUm0adOGQoUKWUyFvHr1KkOGDDFidHJy4vfffzfab9iwIX5+fhQpUoSwsDAWLFjAtWvXAFiwYAFOTk7Ga8uWLVSoUIESJUrw9ddfA7B582bOnDljkURu3LiRhg0b8swzz+Ds7Ex4eDjnzp3j6tWrRh0bG5t05zituLg4OnToQJEiRXBxccHf3x/AiD0iIoKYmBgCAwPp378/a9asydY5e9opMRMRERGRx17axTpMJhMpKSmYzWZMJlO6+mnLHR0ds3ScJUuW8Prrr9OlSxfWrFlDTEwMnTt35tatW9mKt1evXiQkJPDNN9+QN+//TVJ74403WLp0KR988AFbtmwhJiaGMmXKGO07Ozuzb98+vv76a7y9vRkxYgTlypXj4sWLvPDCC8TExBivSpUqAXdGzRYuXAjcmcYYEhJCgQIFAPjzzz9p2rQppUuXZunSpezdu5dPPvkEuJM8prK3t8/wPN6tRYsWnDt3jlmzZrFr1y527doFYMResWJF4uPjee+997h+/TqhoaH3vD9O0tNURhERERH5zwoKCiIhIYETJ04Yo2aHDh0iMTGRkiVLZrqvjY0NycnJFmVbtmyhWrVq9O7d2yi7e4GLrPj4449ZvHgxO3bswN3dPV37ERERvPjii8Cde86OHz9uUSdv3rw0aNCABg0aMHLkSPLly8eGDRto3bo1zs7O6Y7XoUMH3nnnHfbu3cu3337LjBkzjG179uzh9u3bTJw4kTx57ozJZPV+ubudO3eO2NhY3vh4CvXr1wdg69at6eq5uLjQrl072rVrx0svvUTjxo05f/78E7dy5cOgxExERERE/rMaNGhA2bJl6dixI5MnT+b27dv07t2b2rVrGyNK91K4cGF27drF8ePHcXJyIn/+/AQEBPDVV1+xevVq/P39mTdvHtHR0ca0vftZt24dQ4YM4ZNPPqFAgQKcPn0auDMi5erqSkBAAN999x0tWrTAZDIxfPhwY/EMgBUrVvDHH39Qq1Yt3NzcWLVqFSkpKQQGBt7zmP7+/lSrVo2uXbty+/ZtWrZsaWwrWrQot2/fZtq0abRo0YJt27alW8UxK9zc3HB3d2dp5BxqBviTkJDAm2++aVFn0qRJeHt7U758efLkycM333yDl5cX+fLly/bxnkZKzOSx4bUxhtN1y+d2GCIiIk+dPp/Vy+0QHpjJZGLZsmX069ePWrVqkSdPHho3bsy0adPuu+/gwYPp1KkTQUFBXL9+nfj4eHr27ElMTAzt2rXDZDLx8ssv07t3b3766acsxbN161aSk5Pp2bMnPXv2NMo7depEZGQkkyZNokuXLlSrVo0CBQowdOhQLl26ZNTLly8f3333HaNGjeLGjRsUK1aMr7/+mlKlSmV63I4dO9KnTx/Cw8Oxt7c3ysuXL8/HH3/MuHHjGDZsGLVq1WLMmDGEh4dnqT+p8uTJw6JFi3i1bz9Kly5NYGAgU6dOpU6dOkYdJycnxo0bx9GjR7GysqJy5cqsWrXKGKmTzJnMepx3jrl06RKurq4kJibi4uKS2+H85ygxk0dF15qIPI1u3LhBfHw8/v7+2NnZ5XY48h/1y6VrlHNxyO0wHhuZfa+ymxsofRUREREREcllSsxERERERERymRIzERERERGRXKbETEREREREJJcpMRMREREREcllSsxERERERERymRIzERERERGRXKbETEREREREJJcpMRMRERGRp05ERAStWrV64P1HjRpF+fLlH+oxniSbNm3CZDJx8eJFACIjI8mXL1+W9y9cuDCTJ09+KLHdy/HjxzGZTMTExDyS4+V9JEcRERERkcfWxHbNH+nxBi1e8UiPl5EpU6ZgNptzO4zHwvHjx/H392f//v33TTZzSrt27WjatGmW60dHR+Po6PgQI8p9SsxERERE5Knj6uqa2yH859y6dSvH2rK3t8fe3j7L9QsWLJhjx35caSqjiIiIiDzW6tSpQ79+/RgwYABubm54enry+eefc/XqVTp37oyzszNFixblp59+AiA5OZmuXbvi7++Pvb09gYGBTJkyxaLNu6cZpk5ZS/uqU6fOfWObOXMmvr6+ODg40LZtW2OqXkaioqKoUaMG+fLlw93dnebNmxMXF2dsT43ju+++o27dujg4OFCuXDl27Nhh0c62bduoXbs2Dg4OuLm5ERISwoULFwC4efMm/fv3x8PDAzs7O2rUqEF0dHSmffD39wegQoUKFv1OPUdjxozBx8eH4sWLAzB//nwqVaqEs7MzXl5edOjQgTNnzli0uWrVKooXL469vT1169bl+PHjFtszmsq4fPlyKlWqhJ2dHQUKFKB169bGtrRTGRMSEmjZsiVOTk64uLgQGhrK33//bWxPnWo6b948ChcujKurK+3bt+fy5ctZ/jwetVxNzH7++WdatGiBj48PJpOJZcuWGduSkpIYOnQoZcqUwdHRER8fH8LDwzl58qRFG3Xq1En3JWrfvr1FnQsXLhAWFoarqyuurq6EhYWl+9IkJCTQokULHB0dKVCgAP3798/RfxUQERERkQc3d+5cChQowO7du+nXrx+9evWibdu2VKtWjX379hESEkJYWBjXrl0jJSWFZ599liVLlnDo0CFGjBjBW2+9xZIlSzJs29fXl1OnThmv/fv34+7uTq1atTKN6dixYyxZsoQff/yRqKgoYmJi6NOnzz3rX716lYEDBxIdHc369evJkycPL774IikpKRb13n77bQYPHkxMTAzFixfn5Zdf5vbt2wDExMRQv359SpUqxY4dO9i6dSstWrQgOTkZgCFDhrB06VLmzp3Lvn37CAgIICQkhPPnz98zrt27dwOwbt06Tp06xXfffWdsW79+PbGxsaxdu5YVK+5MQb116xbvvfcev/zyC8uWLSM+Pp6IiAhjnxMnTtC6dWuaNm1KTEwM3bp1480338z0XK5cuZLWrVvTrFkz9u/fz/r166lUqVKGdc1mM61ateL8+fNs3ryZtWvXEhcXR7t27SzqxcXFsWzZMlasWMGKFSvYvHkzY8eOzfbn8ajk6lTGq1evUq5cOTp37kybNm0stl27do19+/YxfPhwypUrx4ULFxgwYAAvvPACe/bssajbvXt33n33XeN92mHRDh068NdffxEVFQVAjx49CAsL48cffwTu/KtKs2bNKFiwIFu3buXcuXN06tQJs9nMtGnTHkbXRURERCQbypUrxzvvvAPAsGHDGDt2LAUKFKB79+4AjBgxghkzZnDgwAGqVq3K6NGjjX39/f3Zvn07S5YsITQ0NF3bVlZWeHl5AXDjxg1atWpFcHAwo0aNyjSmGzduMHfuXJ599lkApk2bRrNmzZg4caLR3t3S/t6dPXs2Hh4eHDp0iNKlSxvlgwcPplmzZgCMHj2aUqVKcezYMUqUKMH48eOpVKkSn376qVG/VKlSwJ3f1jNmzCAyMpImTZoAMGvWLNauXcvs2bN54403MuxH6jRBd3f3dHE7OjryxRdfYGNjA8Avl67RpUsXY3uRIkWYOnUqVapU4cqVKzg5OTFjxgyKFCnCpEmTMJlMBAYG8uuvvzJu3Lh7nssPPviA9u3bW3xu5cqVy7DuunXrOHDgAPHx8fj6+gIwb948SpUqRXR0NJUrVwYgJSWFyMhInJ2dAQgLC2P9+vV88MEHQNY/j0clV0fMmjRpwvvvv28xTJnK1dWVtWvXEhoaSmBgIFWrVmXatGns3buXhIQEi7oODg54eXkZr7vnDMfGxhIVFcUXX3xBcHAwwcHBzJo1ixUrVnD48GEA1qxZw6FDh5g/fz4VKlSgQYMGTJw4kVmzZnHp0qWHexJERERE5L7Kli1r/LeVlRXu7u6UKVPGKPP09AQwptR99tlnVKpUiYIFC+Lk5MSsWbPS/YbMSNeuXbl8+TILFy4kT547P5WdnJyMV8+ePY26hQoVMpIygODgYFJSUozfmGnFxcXRoUMHihQpgouLizGFMG1cd/fV29vbol+pI2b3aj8pKYnq1asbZdbW1lSpUoXY2FgAevbsadGf+ylTpoyRlKXav38/LVu2xM/PD2dnZ2PqY2o/YmNjqVq1KiaTydgnODg40+Nk1q+0YmNj8fX1NZIygKCgIPLly2f0E+5Mf0xNyuDOubx7ymVWP49H5T+1+EdiYiImkyndfNQFCxYwf/58PD09adKkCSNHjjQ+hB07duDq6srzzz9v1K9atSqurq5s376dwMBAduzYQenSpfHx8THqhISEcPPmTfbu3UvdunUzjOfmzZvcvHnTeK8kTkREROThsLa2tnhvMpksylKTgJSUFJYsWcLrr7/OxIkTCQ4OxtnZmY8++ohdu3Zleoz333+fqKgodu/ebfGD/u7l0l1cXO65f2oMdyckd2vRogW+vr7MmjULHx8fUlJSKF26dLrbZ+7VL0g/M+xuqatMpj2+2Ww2yt59910GDx58zzbSSrsS4vWrV2nRqBGNGjVi/vz5FCxYkISEBEJCQox+PMhql9lZCOTu/mRWntE1c/c0xax+Ho/Kf2bxjxs3bvDmm2/SoUMHiy9Ex44d+frrr9m0aRPDhw9n6dKlFiNwp0+fxsPDI117Hh4enD592qiT+q8sqdzc3LCxsTHqZGTMmDHGfWuurq4WWbuIiIiI5I4tW7ZQrVo1evfuTYUKFQgICLjvog5Lly7l3XffZcmSJRQtWtRiW0BAgPG6+3dlQkKCxfoHO3bsIE+ePMYiGXc7d+4csbGxvPPOO9SvX5+SJUsaC3ZkR9myZVm/fn2G2wICArCxsWHr1q1GWVJSEnv27KFkyZLAnd/Ad/cHMEbEUu9Ty0z8kSP8888/jB07lpo1a1KiRIl0C38EBQWxc+dOi7K077PTr7SCgoJISEjgxIkTRtmhQ4dITEw0+nk/OfV55KT/RGKWlJRE+/btSUlJsZhPC3fuL2vQoAGlS5emffv2fPvtt6xbt459+/YZdbKSUWelTlrDhg0jMTHReN19cYiIiIhI7ggICGDPnj2sXr2aI0eOMHz48ExXJjx48CDh4eEMHTqUUqVKcfr0aU6fPp3pghkAdnZ2dOrUiV9++YUtW7bQv39/QkNDM7y/zM3NDXd3dz7//HOOHTvGhg0bGDhwYLb7NmzYMKKjo+nduzcHDhzg999/Z8aMGfzzzz84OjrSq1cv3njjDaKiojh06BDdu3fn2rVrdO3a9Z5tenh4YG9vT1RUFH///TeJiYn3rOvl+yw2NjZMmzaNP/74g+XLl/Pee+9Z1OnZsydxcXEMHDiQw4cPs3DhQiIjIzPt18iRI/n6668ZOXIksbGx/Prrr4wfPz7Dug0aNKBs2bJ07NiRffv2sXv3bsLDw6ldu/Y9FwxJK6c+j5z02CdmSUlJhIaGEh8fz9q1azMdPgaoWLEi1tbWHD16FAAvLy+LpTNTnT171hgl8/LySjcyduHCBZKSktKNpN3N1tYWFxcXi5eIiIiI5K6ePXvSunVr2rVrx/PPP8+5c+fo3bv3Pevv2bOHa9eu8f777+Pt7W28MloH4W4BAQHG6oONGjWidOnS6QYRUuXJk4dFixaxd+9eSpcuzeuvv85HH32U7b4VL16cNWvW8Msvv1ClShWCg4P54YcfyJv3zh1KY8eOpU2bNoSFhVGxYkWOHTvG6tWrcXNzu2ebefPmZerUqcycORMfHx9atmx5z7r5CxQkMjKSb775hqCgIMaOHcuECRMs6hQqVIilS5fy448/Uq5cOT777DM+/PDDTPtVp04dvvnmG5YvX0758uWpV6/ePaeepq7m7ubmRq1atWjQoAFFihRh8eLFmR7jbjn1eeQkk/kxeeS5yWTi+++/N54nAf+XlB09epSNGzdm6cFyBw8epEyZMmzevJlatWoRGxtLUFAQu3btokqVKgDs2rWLqlWr8vvvvxMYGMhPP/1E8+bN+euvv4wbLBcvXkynTp04c+ZMlhOuS5cu4erqSmJiopK0B+C1MYbTdcvndhjyFNC1JiJPoxs3bhAfH4+/vz92dna5HY78R/1y6RrlXBxyO4zHRmbfq+zmBrm6+MeVK1c4duyY8T4+Pp6YmBjy58+Pj48PL730Evv27WPFihUkJycbo1r58+fHxsaGuLg4FixYQNOmTSlQoACHDh1i0KBBVKhQwViNpmTJkjRu3Jju3bszc+ZM4M5y+c2bNycwMBCARo0aERQURFhYGB999BHnz59n8ODBdO/eXQmWiIiIiIg8dLk6lXHPnj1UqFCBChUqADBw4EAqVKjAiBEj+Ouvv1i+fDl//fUX5cuXtxhW3r59O3DnRsX169cTEhJCYGAg/fv3p1GjRqxbtw4rKyvjOAsWLKBMmTI0+v8ryJQtW5Z58+YZ262srFi5ciV2dnZUr16d0NBQWrVqlW5YVkRERERE5GHI1RGzOnXqZLqc5v1mWfr6+rJ58+b7Hid//vzMnz8/0zqFChUynmYuIiIiIiLyKD32i3+IiIiIiIg86ZSYiYiIiIiI5DIlZiIiIiIiIrlMiZmIiIiIiEguU2ImIiIiIiKSy5SYiYiIPCReG2NyOwQREfmPUGImIiIiIiKSy3L1OWYiIiIikvv+enPLIz3es2NrPtLjifwXaMRMREREREQklykxExEREZHHWp06dejXrx8DBgzAzc0NT09PPv/8c65evUrnzp1xdnamaNGi/PTTTwAkJyfTtWtX/P39sbe3JzAwkClTpli0GRERQatWrZgwYQLe3t64u7vTp08fkpKSjDqnTp2iWbNm2Nvb4+/vz8KFCylcuDCTJ0826iQkJNCyZUucnJxwcXEhNDSUv//++5GcF3myKDETERERkcfe3LlzKVCgALt376Zfv3706tWLtm3bUq1aNfbt20dISAhhYWFcu3aNlJQUnn32WZYsWcKhQ4cYMWIEb731FkuWLLFoc+PGjcTFxbFx40bmzp1LZGQkkZGRxvbw8HBOnjzJpk2bWLp0KZ9//jlnzpwxtpvNZlq1asX58+fZvHkza9euJS4ujnbt2j2q0yJPEN1jJiIiIiKPvXLlyvHOO+8AMGzYMMaOHUuBAgXo3r07ACNGjGDGjBkcOHCAqlWrMnr0aGNff39/tm/fzpIlSwgNDTXK3dzcmD59OlZWVpQoUYJmzZqxfv16unfvzu+//866deuIjo6mUqVKAHzxxRcUK1bM2H/dunUcOHCA+Ph4fH19AZg3bx6lSpUiOjqaypUrP/TzIk8OjZiJiIiIyGOvbNmyxn9bWVnh7u5OmTJljDJPT08AY0Trs88+o1KlShQsWBAnJydmzZpFQkKCRZulSpXCysrKeO/t7W3sf/jwYfLmzUvFihWN7QEBAbi5uRnvY2Nj8fX1NZIygKCgIPLly0dsbGxOdFueIkrMREREROSxZ21tbfHeZDJZlJlMJgBSUlJYsmQJr7/+Ol26dGHNmjXExMTQuXNnbt26dd82U1JSgDvTFDNyd7nZbDaOm7ZORuUimdFURhERERF5omzZsoVq1arRu3dvoywuLi5bbZQoUYLbt2+zf/9+nnvuOQCOHTvGxYsXjTpBQUEkJCRw4sQJY9Ts0KFDJCYmUrJkyX/fEXmqaMRMRERERJ4oAQEB7Nmzh9WrV3PkyBGGDx9OdHR0ttooUaIEDRo0oEePHuzevZv9+/fTo0cP7O3tjdGwBg0aULZsWTp27Mi+ffvYvXs34eHh1K5d27gvTSSrlJiJiIiIyBOlZ8+etG7dmnbt2vH8889z7tw5i9GzrPrqq6/w9PSkVq1avPjii3Tv3h1nZ2fs7OyAO1Mfly1bhpubG7Vq1aJBgwYUKVKExYsX53SX5ClgMt9rAq1k26VLl3B1dSUxMREXF5fcDuc/x2tjDKfrls/tMOQpoGtNHhVda/I4uXHjBvHx8fj7+xuJhWTPX3/9ha+vL+vWraN+/fq5HU6u+OXSNcq5OOR2GI+NzL5X2c0NdI+ZiIiIiEgGNmzYwJUrVyhTpgynTp1iyJAhFC5cmFq1auV2aPIEUmImIiIiIpKBpKQk3nrrLf744w+cnZ2pVq0aCxYsSLeao0hOUGImIiIiIpKBkJAQQkJCcjsMeUpo8Q8REREREZFc9q8Ss5s3b+ZUHCIiIiIiIk+tbCVmq1evJiIigqJFi2JtbY2DgwPOzs7Url2bDz74gJMnTz6sOEVERERERJ5YWUrMli1bRmBgIJ06dSJPnjy88cYbfPfdd6xevZrZs2dTu3Zt1q1bR5EiRejZsydnz5592HGLiIiIiIg8MbK0+MeHH37IhAkTaNasGXnypM/lQkNDAfjf//7HlClT+Oqrrxg0aFDORioiIiIiIvKEylJitnv37iw19swzzzB+/Ph/FZCIiIiIiMjTRqsyioiIiMhTb9SoUZQvXz63w7iv48ePYzKZiImJeeTHjoyMpEYhn0d+3KdFtp9jlpycTGRkJOvXr+fMmTOkpKRYbN+wYUOOBSciIiIiD9+oUaOe6ONlxeDBg+nXr19uhyFPsWwnZq+99hqRkZE0a9aM0qVLYzKZHkZcIiIiIiKPjJOTE05OTrkdxhMnKSkJa2vr3A7jPyHbUxkXLVrEkiVLWLx4MZMnT2bSpEkWLxERERGRnFSnTh369u1L3759yZcvH+7u7rzzzjuYzWYAbt26xZAhQ3jmmWdwdHTk+eefZ9OmTcb+kZGR5MuXj2XLllG8eHHs7Oxo2LAhJ06cMOqkncoYERFBq1atmDBhAt7e3ri7u9OnTx+SkpKMOhcuXCA8PBw3NzccHBxo0qQJR48evW9/fvvtN5o1a4aLiwvOzs7UrFmTuLg4AFJSUnj33Xd59tlnsbW1pXz58kRFRaVr448//qBu3bo4ODhQrlw5duzYYbF96dKllCpVCltbWwoXLszEiRMtthcuXJj333+f8PBwnJyc8PPz44cffuDs2bO0bNkSJycnypQpw549e9IdOyvncc6cORQpUgRbW1vMZjMJCQlGuy4uLoSGhvL333/f91w9TbKdmNnY2BAQEPAwYhERERERydDcuXPJmzcvu3btYurUqUyaNIkvvvgCgM6dO7Nt2zYWLVrEgQMHaNu2LY0bN7ZIkq5du8YHH3zA3Llz2bZtG5cuXaJ9+/aZHnPjxo3ExcWxceNG5s6dS2RkJJGRkcb2iIgI9uzZw/Lly9mxYwdms5mmTZtaJG9p/e9//6NWrVrY2dmxYcMG9u7dS5cuXbh9+zYAU6ZMYeLEiUyYMIEDBw4QEhLCCy+8kC7he/vttxk8eDAxMTEUL16cl19+2Whj7969hIaG0r59e3799VdGjRrF8OHDLWIHmDRpEtWrV2f//v00a9aMsLAwwsPDeeWVV9i3bx8BAQGEh4cbCTDAjSycx2PHjrFkyRKWLl1q3AvXqlUrzp8/z+bNm1m7di1xcXG0a9cu0/P/tMn2VMZBgwYxZcoUpk+frmmMIiIiIvJI+Pr6MmnSJEwmE4GBgfz6669MmjSJevXq8fXXX/PXX3/h43NnYYrBgwcTFRXFl19+yYcffgjcmVI3ffp0nn/+eeBOoleyZEl2795NlSpVMjymm5sb06dPx8rKihIlStCsWTPWr19P9+7dOXr0KMuXL2fbtm1Uq1YNgAULFuDr68uyZcto27Zthm1+8sknuLq6smjRImOKX/HixY3tEyZMYOjQoUayM27cODZu3MjkyZP55JNPjHqDBw+mWbNmAIwePZpSpUpx7NgxSpQowccff0z9+vUZPny40f6hQ4f46KOPiIiIMNpo2rQpr776KgAjRoxgxowZVK5c2Yh96NChBAcH8/fff+Pl5QXA7Sycx1u3bjFv3jwKFiwIwNq1azlw4ADx8fH4+voCMG/ePEqVKkV0dDSVK1e+5+f+NMn2iNnWrVtZsGABRYsWpUWLFrRu3driJSIiIiKS06pWrWoxKBAcHMzRo0fZs2cPZrOZ4sWLG/eJOTk5sXnzZmN6IEDevHmpVKmS8b5EiRLky5eP2NjYex6zVKlSWFlZGe+9vb05c+YMALGxseTNm9dIUADc3d0JDAw02mzSpIkRT6lSpQCIiYmhZs2aGd53denSJU6ePEn16tUtyqtXr54uzrJly1rEBVjEllEbR48eJTk5OcM2PD09AShTpky6stR2IWvn0c/Pz0jKUuPx9fU1kjKAoKCg+57/p022R8zy5cvHiy+++DBiERERERHJNisrK/bu3WuRRAHpFvPIaLZXZjPA0iZPJpPJWJH87ul9dzObzUabX3zxBdevX7doy97ePrOuZBjT3W1mFFvqtrtjy6iNtDJqI7N27xVf2jJHR8f7xp9Z+dMq24nZl19++TDiEBERERG5p507d6Z7X6xYMSpUqEBycjJnzpyhZs2a99z/9u3b7Nmzx5hud/jwYS5evEiJEiUeKJ6goCBu377Nrl27jKmM586d48iRI5QsWRKAZ555Jt1+ZcuWZe7cuRmuVuji4oKPjw9bt26lVq1aRvn27dvvOd3yXrFt3brVomz79u0UL148XfKaXQ9yHoOCgkhISODEiRPGqNmhQ4dITEw0zpX8iwdMnz17lq1bt7Jt2zbOnj2bkzGJiIiIiFg4ceIEAwcO5PDhw3z99ddMmzaN1157jeLFi9OxY0fCw8P57rvviI+PJzo6mnHjxrFq1Spjf2tra/r168euXbvYt28fnTt3pmrVqtlKeO5WrFgxWrZsSffu3dm6dSu//PILr7zyCs888wwtW7a85359+/Y1FszYs2cPR48eZd68eRw+fBiAN954g3HjxrF48WIOHz7Mm2++SUxMDK+99lqWYxs0aBDr16/nvffe48iRI8ydO5fp06czePDgB+rr3fI+wHls0KABZcuWpWPHjuzbt4/du3cTHh5O7dq1LaZFPu2ynZhdvXqVLl264O3tTa1atahZsyY+Pj507dqVa9euPYwYRUREROQpFx4ezvXr16lSpQp9+vShX79+9OjRA7gzoys8PJxBgwYRGBjICy+8wK5duyzuaXJwcGDo0KF06NCB4OBg7O3tWbRo0b+K6csvv+S5556jefPmBAcHYzabWbVqVabP7XJ3d2fDhg1cuXKF2rVr89xzzzFr1ixjn/79+zNo0CAGDRpEmTJliIqKYvny5RQrVizLcVWsWJElS5awaNEiSpcuzYgRI3j33XctFv54UHYPcB5NJhPLli3Dzc2NWrVq0aBBA4oUKcLixYv/dTxPEpP5XhNk7+HVV19l3bp1TJ8+3bipcOvWrfTv35+GDRsyY8aMhxLof8GlS5dwdXUlMTERFxeX3A7nP8drYwyn65bP7TDkKaBrTR4VXWvyOLlx4wbx8fH4+/tjZ2eX2+FkS506dShfvjyTJ09+oP0jIyMZMGAAFy9ezNG4nka/XLpGOReH3A7jsZHZ9yq7uUG27zFbunQp3377LXXq1DHKmjZtir29PaGhoU91YiYiIiIiIvIgsj2V8dq1a8bSmXfz8PDQVEYREREREZEHkO3ELDg4mJEjR3Ljxg2j7Pr164wePZrg4OAcDU5EREREZNOmTQ88jREgIiJC0xjlsZftqYyTJ0+mSZMmPPvss5QrVw6TyURMTAx2dnasXr36YcQoIiIiIiLyRMt2YlamTBmOHj3K/Pnz+f333zGbzbRv356OHTtm6YF5IiIiIiIiYinbidnPP/9MtWrV6N69u0X57du3+fnnny0ehiciIiIiIiL3l+17zOrWrcv58+fTlScmJlK3bt0cCUpERERERORpku3EzGw2YzKZ0pWfO3cOR0fHHAlKRERERETkaZLlqYytW7cG7jy5OyIiAltbW2NbcnIyBw4coFq1ajkfoYiIiIhkSg8zF/nvy3Ji5urqCtwZMXN2drZY6MPGxoaqVaumu+9MRERERERE7i/LidmXX34JQOHChRk8eLCmLYqIiIg8IdZvKPpIj1e/Xly26tepU4fy5cv/q2eZ5ZTUZ6ItW7Yst0ORJ0y2V2UcOXLkw4hDRERERETkqZWlxT8aN27M9u3b71vv8uXLjBs3jk8++eRfByYiIiIiEhERwebNm5kyZQomkwmTycTx48fZvHkzVapUwdbWFm9vb958801u375t7FenTh369evHgAEDcHNzw9PTk88//5yrV6/SuXNnnJ2dKVq0KD/99JOxT3JyMl27dsXf3x97e3sCAwOZMmWKsX3UqFHMnTuXH374wYhl06ZNAPzvf/+jXbt2uLm54e7uTsuWLTl+/PijOk3yBMhSYta2bVtCQ0MpWbIkQ4cO5ZtvvmHbtm3s3buXdevWMXXqVEJDQ/H29mb//v288MILWTr4zz//TIsWLfDx8cFkMqUbEjabzYwaNQofHx/s7e2pU6cOv/32m0Wdmzdv0q9fPwoUKICjoyMvvPACf/31l0WdCxcuEBYWhqurK66uroSFhXHx4kWLOgkJCbRo0QJHR0cKFChA//79uXXrVpb6ISIiIiIPx5QpUwgODqZ79+6cOnWKU6dOYW1tTdOmTalcuTK//PILM2bMYPbs2bz//vsW+86dO5cCBQqwe/du+vXrR69evWjbti3VqlVj3759hISEEBYWxrVr1wBISUnh2WefZcmSJRw6dIgRI0bw1ltvsWTJEgAGDx5MaGgojRs3NmKpVq0a165do27dujg5OfHzzz+zdetWnJycaNy4sX5PSpZlKTHr2rUrf/zxB8OHD+f333/n1VdfpWbNmlSuXJmQkBBmzZpFoUKF2Lt3L4sWLcLX1zdLB7969SrlypVj+vTpGW4fP348H3/8MdOnTyc6OhovLy8aNmzI5cuXjToDBgzg+++/Z9GiRWzdupUrV67QvHlzkpOTjTodOnQgJiaGqKgooqKiiImJISwszNienJxMs2bNuHr1Klu3bmXRokUsXbqUQYMGZakfIiIiIvJwuLq6YmNjg4ODA15eXnh5efHpp5/i6+vL9OnTKVGiBK1atWL06NFMnDiRlJQUY99y5crxzjvvUKxYMYYNG4a9vT0FChSge/fuFCtWjBEjRnDu3DkOHDgAgLW1NaNHj6Zy5cr4+/vTsWNHIiIijMTMyckJe3t7bG1tjVhsbGxYtGgRefLk4YsvvqBMmTKULFmSL7/8koSEBGNETeR+snyPmY2NDR06dKBDhw7AnQdKX79+HXd3d6ytrR/o4E2aNKFJkyYZbjObzUyePJm3337bWKp/7ty5eHp6snDhQl599VUSExOZPXs28+bNo0GDBgDMnz8fX19f1q1bR0hICLGxsURFRbFz506ef/55AGbNmkVwcDCHDx8mMDCQNWvWcOjQIU6cOIGPjw8AEydOJCIigg8++AAXF5cH6p+IiIiI5LzY2FiCg4Mtnq1bvXp1rly5wl9//UWhQoUAKFu2rLHdysoKd3d3ypQpY5R5enoCcObMGaPss88+44svvuDPP//k+vXr3Lp1i/Lly2caz969ezl27BjOzs4W5Tdu3CAuLnsLncjTK9sPmE7l6uqKl5fXAydl9xMfH8/p06dp1KiRUWZra0vt2rWN+9327t1LUlKSRR0fHx9Kly5t1NmxYweurq5GUgZQtWpVXF1dLeqULl3aSMoAQkJCuHnzJnv37r1njDdv3uTSpUsWLxERERF5uMxms0VSlloGWJSn/Z1qMpksylLrpo6yLVmyhNdff50uXbqwZs0aYmJi6Ny5832nI6akpPDcc88RExNj8Tpy5IgxqCFyP9lelfFROX36NPB//5KRytPTkz///NOoY2Njg5ubW7o6qfufPn0aDw+PdO17eHhY1El7HDc3N2xsbIw6GRkzZgyjR4/OZs9EREREJDtsbGwsblMJCgpi6dKlFgna9u3bcXZ25plnnnng42zZsoVq1arRu3dvoyztiFfaWAAqVqzI4sWL8fDw0EwreWAPPGL2qGT0ryFpy9JKWyej+g9SJ61hw4aRmJhovE6cOJFpXCIiIiKSfYULF2bXrl0cP36cf/75h969e3PixAn69evH77//zg8//MDIkSMZOHAgefI8+M/bgIAA9uzZw+rVqzly5AjDhw8nOjo6XSwHDhzg8OHD/PPPPyQlJdGxY0cKFChAy5Yt2bJlC/Hx8WzevJnXXnst3aJ0Ivfy2CZmXl5eAOlGrM6cOWOMbnl5eXHr1i0uXLiQaZ2///47Xftnz561qJP2OBcuXCApKSndSNrdbG1tcXFxsXiJiIiISM4aPHgwVlZWBAUFUbBgQZKSkli1ahW7d++mXLly9OzZk65du/LOO+/8q+P07NmT1q1b065dO55//nnOnTtnMXoG0L17dwIDA6lUqRIFCxZk27ZtODg48PPPP1OoUCFat25NyZIl6dKlC9evX9fvQ8myx3Yqo7+/P15eXqxdu5YKFSoAcOvWLTZv3sy4ceMAeO6557C2tmbt2rWEhoYCcOrUKQ4ePMj48eMBCA4OJjExkd27d1OlShUAdu3aRWJiItWqVTPqfPDBB5w6dQpvb28A1qxZg62tLc8999wj7beIiIjIo1a/3uO9QEXx4sXZsWOHRVnhwoXZvXv3PffJaDXEjJ4rlnpvGtz5R/cvv/ySL7/80qLOmDFjjP8uWLAga9asSdeOl5cXc+fOvWc8IvfzwInZrVu3OHPmjMWSpICxCk5WXLlyhWPHjhnv4+PjiYmJIX/+/BQqVIgBAwbw4YcfUqxYMYoVK8aHH36Ig4ODcROlq6srXbt2ZdCgQbi7u5M/f34GDx5MmTJljFUaS5YsSePGjenevTszZ84EoEePHjRv3pzAwEAAGjVqRFBQEGFhYXz00UecP3+ewYMH0717d/0rh4iIiIiIPHTZTsyOHj1Kly5djBUNU6Xej5X2ZsjM7Nmzh7p16xrvBw4cCECnTp2IjIxkyJAhXL9+nd69e3PhwgWef/551qxZY7EU6aRJk8ibNy+hoaFcv36d+vXrExkZiZWVlVFnwYIF9O/f31i98YUXXrB4dpqVlRUrV66kd+/eVK9eHXt7ezp06MCECROyd3JEREREREQegMl89/htFlSvXp28efPy5ptv4u3tnW5xjHLlyuVogP8lly5dwtXVlcTERI20PQCvjTGcrls+t8OQp4CuNXlUdK3Jo5KVa+3GjRvEx8fj7++PnZ3dowlMnji/XLpGOReH3A7jsZHZ9yq7uUG2R8xiYmLYu3cvJUqUyO6uIiIiIiIikoFsr8oYFBTEP//88zBiEREREREReSplOzEbN24cQ4YMYdOmTZw7d45Lly5ZvERERERERCR7sj2VMXW1w/r161uUP8jiHyIiIiIiIvIAidnGjRsfRhwiIiIiIiJPrWwnZrVr134YcYiIiIiIiDy1HugB0xcvXmT27NnExsZiMpkICgqiS5cuuLq65nR8IiIiIiIiT7xsJ2Z79uwhJCQEe3t7qlSpgtls5uOPP+aDDz5gzZo1VKxY8WHEKSIiIiIPidfGmEd6PD3fTyS9bCdmr7/+Oi+88AKzZs0ib947u9++fZtu3boxYMAAfv755xwPUkRERERE5EmW7eXy9+zZw9ChQ42kDCBv3rwMGTKEPXv25GhwIiIiIvJ0++qrr3B3d+fmzZsW5W3atCE8PJyIiAhatWplsW3AgAHUqVPHeJ+SksK4ceMICAjA1taWQoUK8cEHHxjbhw4dSvHixXFwcKBIkSIMHz6cpKSkh9ktkXSynZi5uLiQkJCQrvzEiRM4OzvnSFAiIiIiIgBt27YlOTmZ5cuXG2X//PMPK1asoHPnzllqY9iwYYwbN47hw4dz6NAhFi5ciKenp7Hd2dmZyMhIDh06xJQpU5g1axaTJk3K8b6IZCbbiVm7du3o2rUrixcv5sSJE/z1118sWrSIbt268fLLLz+MGEVERETkKWVvb0+HDh348ssvjbIFCxbw7LPPWoyK3cvly5eZMmUK48ePp1OnThQtWpQaNWrQrVs3o84777xDtWrVKFy4MC1atGDQoEEsWbLkYXRH5J6yfY/ZhAkTMJlMhIeHc/v2bQCsra3p1asXY8eOzfEARUREROTp1r17dypXrsz//vc/nnnmGb788ksiIiIwmUz33Tc2NpabN29Sv379e9b59ttvmTx5MseOHePKlSvcvn0bFxeXnOyCyH1le8TMxsaGKVOmcOHCBWJiYti/fz/nz59n0qRJ2NraPowYRUREROQpVqFCBcqVK8dXX33Fvn37+PXXX4mIiAAgT548mM1mi/p33x9mb2+fads7d+6kffv2NGnShBUrVrB//37efvttbt26leP9EMnMAz3HDMDBwYEyZcrkZCwiIiIiIhnq1q0bkyZN4n//+x8NGjTA19cXgIIFC3Lw4EGLujExMVhbWwNQrFgx7O3tWb9+vcX0xVTbtm3Dz8+Pt99+2yj7888/H2JPRDKWpcSsdevWREZG4uLiQuvWrTOt+9133+VIYCIiIiIiqTp27MjgwYOZNWsWX331lVFer149PvroI7766iuCg4OZP38+Bw8epEKFCgDY2dkxdOhQhgwZgo2NDdWrV+fs2bP89ttvdO3alYCAABISEli0aBGVK1dm5cqVfP/997nVTXmKZWkqo6urqzGH19XVNdOXiIiIiEhOc3FxoU2bNjg5OVksjx8SEsLw4cMZMmQIlStX5vLly4SHh1vsO3z4cAYNGsSIESMoWbIk7dq148yZMwC0bNmS119/nb59+1K+fHm2b9/O8OHDH2XXRAAwmdNOypUHdunSJVxdXUlMTNQNow/Aa2MMp+uWz+0w5Cmga00eFV1r8qhk5Vq7ceMG8fHx+Pv7Y2dn92gCy2ENGzakZMmSTJ06NbdDeWr9cuka5VwccjuMx0Zm36vs5gbZvscsPj6e27dvU6xYMYvyo0ePYm1tTeHChbPbpIiIiIjIPZ0/f541a9awYcMGpk+fntvhiDwU2V6VMSIigu3bt6cr37Vrl7E6joiIiIhITqlYsSKvvvoq48aNIzAwMLfDEXkosj1itn//fqpXr56uvGrVqvTt2zdHghIRERERSXX8+PHcDkHkocv2iJnJZOLy5cvpyhMTE0lOTs6RoERERERERJ4m2U7MatasyZgxYyySsOTkZMaMGUONGjVyNDgRERERyVla900k5+Tk9ynbUxnHjx9PrVq1CAwMpGbNmgBs2bKFS5cusWHDhhwLTERERERyTuoDl69du4a9vX0uRyPyZLh27Rrwf9+vfyPbiVlQUBAHDhxg+vTp/PLLL9jb2xMeHk7fvn3Jnz//vw5IRERERHKelZUV+fLlM57f5eDgYDynViSrzLducuNGtifdPXHMZjPXrl3jzJkz5MuXDysrq3/dZrYTMwAfHx8+/PDDf31wEREREXl0vLy8AIzkTCS7zty4ha2dTW6H8djIly+f8b36t7KdmH355Zc4OTnRtm1bi/JvvvmGa9eu0alTpxwJTERERERylslkwtvbGw8PD5KSknI7HPkPCtsVy9aS/rkdxmPB2to6R0bKUmU7MRs7diyfffZZunIPDw969OihxExERETkMWdlZZWjPyjl6fFXigk7O7vcDuOJlO0Jon/++Sf+/umzZD8/PxISEnIkKBERERERkadJthMzDw8PDhw4kK78l19+wd3dPUeCEhEREREReZpkOzFr3749/fv3Z+PGjSQnJ5OcnMyGDRt47bXXaN++/cOIUURERERE5ImW7XvM3n//ff7880/q169P3rx3dk9JSSE8PFwrNYqIiIiIiDyAbCdmNjY2LF68mPfee894jlmZMmXw8/N7GPGJiIiIiIg88R7oOWYAxYsXp3jx4jkZi4iIiIiIyFMp24lZly5dMt0+Z86cBw5GRERERETkaZTtxOzChQsW75OSkjh48CAXL16kXr16ORaYiIiIiIjI0yLbidn333+friwlJYXevXtTpEiRHAlKRERERETkaZLt5fIzbCRPHl5//XUmTZqUE82JiIiIiIg8VXIkMQOIi4vj9u3bOdWciIiIiIjIUyPbUxkHDhxo8d5sNnPq1ClWrlxJp06dciwwERERERGRp0W2E7P9+/dbvM+TJw8FCxZk4sSJ912xUURERERERNLLdmK2cePGhxGHiIiIiIjIUyvH7jETERERERGRB5OlEbMKFSpgMpmy1OC+ffv+VUAiIiIiIiJPmywlZq1atTL++8aNG3z66acEBQURHBwMwM6dO/ntt9/o3bv3QwlSRERERETkSZalxGzkyJHGf3fr1o3+/fvz3nvvpatz4sSJnI1ORERERETkKZDte8y++eYbwsPD05W/8sorLF26NEeCEhEREREReZpkOzGzt7dn69at6cq3bt2KnZ1djgQlIiIiIiLyNMn2cvkDBgygV69e7N27l6pVqwJ37jGbM2cOI0aMyPEARUREREREnnTZTszefPNNihQpwpQpU1i4cCEAJUuWJDIyktDQ0BwPUERERERE5EmX7cQMIDQ0VEmYiIiIiIhIDnmgxAxg7969xMbGYjKZCAoKokKFCjkZl4iIiIiIyFMj24t/nDlzhnr16lG5cmX69+9P3759ee6556hfvz5nz57N8QALFy6MyWRK9+rTpw8AERER6bal3vuW6ubNm/Tr148CBQrg6OjICy+8wF9//WVR58KFC4SFheHq6oqrqythYWFcvHgxx/sjIiIiIiKSVrYTs379+nHp0iV+++03zp8/z4ULFzh48CCXLl2if//+OR5gdHQ0p06dMl5r164FoG3btkadxo0bW9RZtWqVRRsDBgzg+++/Z9GiRWzdupUrV67QvHlzkpOTjTodOnQgJiaGqKgooqKiiImJISwsLMf7IyIiIiIikla2pzJGRUWxbt06SpYsaZQFBQXxySef0KhRoxwNDqBgwYIW78eOHUvRokWpXbu2UWZra4uXl1eG+ycmJjJ79mzmzZtHgwYNAJg/fz6+vr6sW7eOkJAQYmNjiYqKYufOnTz//PMAzJo1i+DgYA4fPkxgYGCO90tERERERCRVtkfMUlJSsLa2TldubW1NSkpKjgR1L7du3WL+/Pl06dIFk8lklG/atAkPDw+KFy9O9+7dOXPmjLFt7969JCUlWSSNPj4+lC5dmu3btwOwY8cOXF1djaQMoGrVqri6uhp1MnLz5k0uXbpk8RIREREREcmubCdm9erV47XXXuPkyZNG2f/+9z9ef/116tevn6PBpbVs2TIuXrxIRESEUdakSRMWLFjAhg0bmDhxItHR0dSrV4+bN28CcPr0aWxsbHBzc7Noy9PTk9OnTxt1PDw80h3Pw8PDqJORMWPGGPekubq64uvrmwO9FBERERGRp022E7Pp06dz+fJlChcuTNGiRQkICMDf35/Lly8zbdq0hxGjYfbs2TRp0gQfHx+jrF27djRr1ozSpUvTokULfvrpJ44cOcLKlSszbctsNluMut393/eqk9awYcNITEw0XidOnHiAXomIiIiIyNMu2/eY+fr6sm/fPtauXcvvv/+O2WwmKCjIuH/rYfnzzz9Zt24d3333Xab1vL298fPz4+jRowB4eXlx69YtLly4YDFqdubMGapVq2bU+fvvv9O1dfbsWTw9Pe95LFtbW2xtbR+kOyIiIiIiIoZsJWa3b9/Gzs6OmJgYGjZsSMOGDR9WXOl8+eWXeHh40KxZs0zrnTt3jhMnTuDt7Q3Ac889h7W1NWvXrjUein3q1CkOHjzI+PHjAQgODiYxMZHdu3dTpUoVAHbt2kViYqKRvImIiIiIiDws2UrM8ubNi5+fn8Uy849CSkoKX375JZ06dSJv3v8L+cqVK4waNYo2bdrg7e3N8ePHeeuttyhQoAAvvvgiAK6urnTt2pVBgwbh7u5O/vz5GTx4MGXKlDFG+UqWLEnjxo3p3r07M2fOBKBHjx40b95cKzKKiIiIiMhDl+17zN555x2GDRvG+fPnH0Y8GVq3bh0JCQl06dLFotzKyopff/2Vli1bUrx4cTp16kTx4sXZsWMHzs7ORr1JkybRqlUrQkNDqV69Og4ODvz4449YWVkZdRYsWECZMmVo1KgRjRo1omzZssybN++R9VFERERERJ5e2b7HbOrUqRw7dgwfHx/8/PxwdHS02L5v374cCy5Vo0aNMJvN6crt7e1ZvXr1ffe3s7Nj2rRpmS5Okj9/fubPn/+v4hQREREREXkQ2U7MWrZsmelKhSIiIiIiIpI92U7MRo0a9RDCEBEREREReXpl+R6za9eu0adPH5555hk8PDzo0KED//zzz8OMTURERERE5KmQ5cRs5MiRREZG0qxZM9q3b8/atWvp1avXw4xNRERERETkqZDlqYzfffcds2fPpn379gC88sorVK9eneTkZIvVDUVERERERCR7sjxiduLECWrWrGm8r1KlCnnz5uXkyZMPJTAREREREZGnRZYTs+TkZGxsbCzK8ubNy+3bt3M8KBERERERkadJlqcyms1mIiIisLW1Ncpu3LhBz549LZ5l9t133+VshCIiIiIiIk+4LCdmnTp1Slf2yiuv5GgwIiIiIiIiT6MsJ2Zffvnlw4xDRERERETkqZXle8xEROT/tXfnYVHV/fvA7xl2VBBBUQKBVFzA0tQKy+3RXMqMyjRRU3HJTM3cMttQH7fcLeNpcSnXMqXnqdQyF8zMJRVzyw0xN9RScUfB9++PvsyPgWE4Z/gMM4z367q4Lpk5nHNuPzfM+cyZOUNERERkH5yYERERERERORgnZkRERERERA7GiRkREREREZGDcWJGRERERETkYJyYERERERERORgnZkRERERERA7GiRkREREREZGDcWJGRERERETkYJyYERERERERORgnZkRERERERA7GiRkREREREZGDcWJGRERERETkYJyYERERERERORgnZkRERERERA7GiRkREREREZGDcWJGRERERETkYJyYERERERERORgnZkRERERERA7GiRkREREREZGDcWJGRERERETkYJyYERERERERORgnZkRERERERA7GiRkREREREZGDcWJGRERERETkYJyYERERERERORgnZkRERERERA7GiRkREREREZGDcWJGRERERETkYJyYERERERERORgnZkRERERERA7GiRkREREREZGDcWJGRERERETkYJyYERERERERORgnZkRERERERA7GiRkREREREZGDcWJGRERERETkYJyYERERERERORgnZkRERERERA7GiRkREREREZGDcWJGRERERETkYJyYEREREREROZhTT8wSExNhMBjMvipXrmy6X0SQmJiIkJAQ+Pj4oHnz5ti/f7/ZOrKysjBo0CAEBQWhTJky6NChA06dOmW2zKVLl9C9e3f4+/vD398f3bt3x+XLl0siIhERERERkXNPzAAgOjoaZ8+eNX3t3bvXdN/777+P6dOn48MPP8SOHTtQuXJlPPHEE7h69appmSFDhiA5ORnLli3D5s2bce3aNbRv3x45OTmmZeLj45Gamoo1a9ZgzZo1SE1NRffu3Us0JxERERER3bvcHb0DRXF3dzc7S5ZLRDBz5ky89dZbeO655wAAn3/+OYKDg7FkyRK8/PLLyMzMxNy5c7Fw4UK0atUKALBo0SKEhYXhp59+Qps2bXDw4EGsWbMGW7duxSOPPAIA+PTTTxEbG4tDhw6hZs2aJReWiIiIiIjuSU5/xuzIkSMICQlBZGQkXnzxRaSlpQEAjh8/joyMDLRu3dq0rJeXF5o1a4YtW7YAAHbu3Ik7d+6YLRMSEoKYmBjTMr/++iv8/f1NkzIAePTRR+Hv729apjBZWVm4cuWK2RcREREREZFeTj0xe+SRR/DFF1/ghx9+wKeffoqMjAw0btwYf//9NzIyMgAAwcHBZj8THBxsui8jIwOenp4ICAiwukylSpUKbLtSpUqmZQozceJE0/vS/P39ERYWZnNWIiIiIiK6dzn1xKxdu3Z4/vnnUbduXbRq1Qrff/89gH9espjLYDCY/YyIFLgtv/zLWFpey3refPNNZGZmmr5OnjxZZCYiIiIiIqL8nHpill+ZMmVQt25dHDlyxPS+s/xntc6fP286i1a5cmXcvn0bly5dsrrMuXPnCmzrwoULBc7G5efl5QU/Pz+zLyIiIiIiIr1K1cQsKysLBw8eRJUqVRAZGYnKlStj7dq1pvtv376NlJQUNG7cGADQoEEDeHh4mC1z9uxZ7Nu3z7RMbGwsMjMzsX37dtMy27ZtQ2ZmpmkZIiIiIiIie3LqqzIOHz4cTz/9NKpWrYrz58/j3//+N65cuYIePXrAYDBgyJAhmDBhAmrUqIEaNWpgwoQJ8PX1RXx8PADA398fvXv3xrBhwxAYGIgKFSpg+PDhppdGAkDt2rXRtm1b9O3bFx9//DEAoF+/fmjfvj2vyEhERERERCXCqSdmp06dQpcuXfDXX3+hYsWKePTRR7F161aEh4cDAEaOHImbN29iwIABuHTpEh555BH8+OOPKFeunGkdM2bMgLu7Ozp16oSbN2+iZcuWWLBgAdzc3EzLLF68GIMHDzZdvbFDhw748MMPSzYsERERERHdswwiIo7eCVdx5coV+Pv7IzMzk+83s0HlDanIaFHP0btB9wB2jUoKu0YlhV2jksKuaad3blCq3mNGRERERETkijgxIyIiIiIicjBOzIiIiIiIiByMEzMiIiIiIiIH48SMiIiIiIjIwTgxIyIiIiIicjBOzIiIiIiIiByMEzMiIiIiIiIH48SMiIiIiIjIwTgxIyIiIiIisqLyhlS7b4MTMyIiIiIiIgfjxIyIiIiIiMjBODEjIiIiIiJyME7MiIiIiIiIHIwTMyIiIiIiIgfjxIyIiIiIiMjBODEjMyVxKVAiIiIiIjLHiRkREREREZGDcWJGRERERETkYJyYERERERERORgnZkRERERERA7GiRkREREREZGDcWJGRERERETkYJyYERERERERORgnZkRERERERA7GiRkREREREZGDcWJGRERERETkYJyYERERERERORgnZkRERERERA7GiRkREREREZGDcWJGRERERETkYJyYERERERERORgnZkRERERERA7GiRkREREROYVTo3529C4QOQwnZkRERERERA7GiRkREREREZGDcWJGRERERETkYJyYERERERERORgnZkRE5NIqb0h19C4QEREViRMzIiIiIiI74FUmSQ9OzIiIiIiIiByMEzMiIiIiIiIH48SMiIiIiIjIwTgxIyIiIiIicjBOzIiIiIiIiByMEzMiIiIiIiIH48SMiIiIiIjIwTgxIyIiIiIicjBOzIiIiIiIiByMEzMiIiIiIiIH48SMiIiIiIjIwTgxIyIiIiIicjBOzIiIiIiIiBzMqSdmEydORKNGjVCuXDlUqlQJcXFxOHTokNkyPXv2hMFgMPt69NFHzZbJysrCoEGDEBQUhDJlyqBDhw44deqU2TKXLl1C9+7d4e/vD39/f3Tv3h2XL1+2d0QiIiIiIiLnnpilpKTg1VdfxdatW7F27VpkZ2ejdevWuH79utlybdu2xdmzZ01fq1atMrt/yJAhSE5OxrJly7B582Zcu3YN7du3R05OjmmZ+Ph4pKamYs2aNVizZg1SU1PRvXv3EslJRERERET3NndH74A1a9asMft+/vz5qFSpEnbu3ImmTZuabvfy8kLlypUtriMzMxNz587FwoUL0apVKwDAokWLEBYWhp9++glt2rTBwYMHsWbNGmzduhWPPPIIAODTTz9FbGwsDh06hJo1a9opIRERERERkZOfMcsvMzMTAFChQgWz2zdu3IhKlSohKioKffv2xfnz50337dy5E3fu3EHr1q1Nt4WEhCAmJgZbtmwBAPz666/w9/c3TcoA4NFHH4W/v79pGUuysrJw5coVsy8iIiIiIiK9Ss3ETEQwdOhQPP7444iJiTHd3q5dOyxevBjr16/HtGnTsGPHDvzrX/9CVlYWACAjIwOenp4ICAgwW19wcDAyMjJMy1SqVKnANitVqmRaxpKJEyea3pPm7++PsLAwFVGJiIiIiOgeU2omZgMHDsTvv/+OpUuXmt3euXNnPPXUU4iJicHTTz+N1atX4/Dhw/j++++trk9EYDAYTN/n/Xdhy+T35ptvIjMz0/R18uRJnamIgMobUh29C0RERETkYKViYjZo0CD873//w4YNGxAaGmp12SpVqiA8PBxHjhwBAFSuXBm3b9/GpUuXzJY7f/48goODTcucO3euwLouXLhgWsYSLy8v+Pn5mX0RERERERHp5dQTMxHBwIEDsXLlSqxfvx6RkZFF/szff/+NkydPokqVKgCABg0awMPDA2vXrjUtc/bsWezbtw+NGzcGAMTGxiIzMxPbt283LbNt2zZkZmaaliEiIiIiIrIXp74q46uvvoolS5bgv//9L8qVK2d6v5e/vz98fHxw7do1JCYm4vnnn0eVKlWQnp6O0aNHIygoCM8++6xp2d69e2PYsGEIDAxEhQoVMHz4cNStW9d0lcbatWujbdu26Nu3Lz7++GMAQL9+/dC+fXtekZGIiIiIiOzOqSdmSUlJAIDmzZub3T5//nz07NkTbm5u2Lt3L7744gtcvnwZVapUQYsWLfDll1+iXLlypuVnzJgBd3d3dOrUCTdv3kTLli2xYMECuLm5mZZZvHgxBg8ebLp6Y4cOHfDhhx/aPyQREREREd3znHpiJiJW7/fx8cEPP/xQ5Hq8vb3xwQcf4IMPPih0mQoVKmDRokW695GIiIiIiKi4nPo9ZkRERI4WMcr6VX6JiIhU4MSMiIiIiKgU4UftuCZOzIiIiIiIiByMEzMiIiIiIiIH48SMiIiIiIjIwTgxIyIiIiIicjBOzIiIiIiIiByMEzMiIiIiIiIH48SMiIiIiIjIwTgxIyIiIiKie8qpUT87ehcK4MSMiIiIiIjIwTgxIyIiIlKg8oZUR+8CEZVinJgREZUgHrgROZ4zvoSJiIgTMyIiIiIiIgfjxIyIiIiIiMjBODEjIipFIkZ97+hdICIiIjvgxIyIiIiIiMjBODEjIiIiIiJyME7MiIiIiIiIHIwTMyIiIiIqlfgRJORKODEjIiIiIiJyME7MiIiIiIiIHIwTMyIiIlKKLy8jItKPEzMiInIKp0b97OhdICIichhOzIiIiIiIiByMEzMiIiKyimcziYjsjxMzIiIiIiIiB+PEjIiIiIiIyME4MSMiukfwSnlERETOixMzIiIiIiIiB+PEjIiIiMgJRIz63tG7QEQOxIkZERERERGRg3FiRkREREQ24/tXidTgxIyIiIgK4MvqiIhKFidmRERE5DJ49oaISitOzIiIiIiIiByMEzMiIiIiIiIH48SMiIiIiIjIwTgxc0J8fTwRERER0b2FEzMiIiIiIp34RDqpxokZERERERGRg3FiRqQAP++HyDo+s0xERGQdJ2ZE5BA8UCciIiI9XP3YgRMzIrj+L3ph7tXcREREdG+q+3ldR+9CoTgxIyIickF84oWIXMW0zu0dvQslghMzIiIiIiIiB+PEjIiIiIgcyplfXkZUUjgxI7tat76ao3eBiIiIiMjpcWJGSvGy8URERKQHjx2I/sGJGRERacKDJyJyuER/R+8Bkd1wYkZERERERORgnJgRERER/R+eGSZHODXqZ0fvAjkBTszy+eijjxAZGQlvb280aNAAP//MXxQiIiJyXomJiY7eBSJSgBOzPL788ksMGTIEb731Fnbv3o0mTZqgXbt2+PPPPx29a0SF4rO7dC+IGPW9wy+nPaf/eodu/17Cv2sKaXxPFv/P7z32/JvKM4C24cQsj+nTp6N3797o06cPateujZkzZyIsLAxJSUmO3jUip+TIB3IeRJCj8GNAiOhexbOz9uXu6B1wFrdv38bOnTsxatQos9tbt26NLVu2WPyZrKwsZGVlmb7PzMwEAFy5cgUx7/2AfWPa2LQvd69fw5UrV2z6WQAO3fbdrBtmP3/9+l3N63Ol3Ny2a2+7JLq2MeVBNG+2p+DPu/D/+dWs64UuczfrBnJu5mBqwrfoN7OZ8m1b/fn/y33z9j/7V5J/14pDZdesjU1xtl3ozzu4a3X+Uwdb47faZdtWf97G3FlZWYVvO0sADet09N+WnJs5uHLlStFdy5fH2X/Hisrz6JJHsTV+q9LfsUMNGqLmzt+KXEfu/7keVruWh9481hxq0BC36kbiypUrSsZbc9fysWXbucuLiKblDaJ1SRd35swZ3Hffffjll1/QuHFj0+0TJkzA559/jkOHDhX4mcTERIwZM6Ykd5OIiIiIiEqRkydPIjQ0tMjleMYsH4PBYPa9iBS4Ldebb76JoUOHmr6/e/cuLl68iMDAQNPPXLlyBWFhYTh58iT8/PwK3a7q5bhtbpvb5ra5bW6b2+a2uW1um9t23LZFBFevXkVISIjV/cnFidn/CQoKgpubGzIyMsxuP3/+PIKDgy3+jJeXF7y8vMxuK1++vMVl/fz8iiyJPZbjtrltbpvb5ra5bW6b2+a2uW1u2zHb9vfX/qHovPjH//H09ESDBg2wdu1as9vXrl1r9tJGIiIiIiIi1XjGLI+hQ4eie/fuaNiwIWJjY/HJJ5/gzz//RP/+/R29a0RERERE5MI4Mcujc+fO+PvvvzF27FicPXsWMTExWLVqFcLDw21ep5eXF957770CL3m093LcNrfNbXPb3Da3zW1z29w2t81tO9e2reFVGYmIiIiIiByM7zEjIiIiIiJyME7MiIiIiIiIHIwTMyIiIiIiIgfjxIyIiIiIiMjBODEjIiIiIiJyMF4uX6HMzEwkJyfj559/Rnp6Om7cuIGKFSuifv36aNOmjemDqrUul+vkyZNmy0VHRxe4HKfWdR46dAhLly4tdLnnn38eXl5euvZRdR4961OdR28WlXm0ZmHX2DV2jV1j19g1do1dY9ecv2t68XL5Cpw9exbvvvsuFi9ejMqVK+Phhx/GfffdBx8fH1y8eBH79u3Dzp07ERISgqpVq+LXX3+1ulx4eDgGDBiA06dPY+nSpTh58iTyDpOnpyeaNGmCfv36oXHjxkhMTCxy28HBwShbtiwOHz6Mxo0bW1zu559/xuXLl1GjRg3s27evyH0cPHgwdu7cWeS2teZ54YUXsH37dixZsqTI9b300ktYt24dfv75ZyV59IzNe++9h0cffRT/+c9/lOTROjZXrlxB//79cfbsWSxbtoxdY9fYNXaNXWPX2DV2jV1zwq6NHDkSQ4YM0T9BEyq2ihUryrBhw2Tv3r2FLnPjxg3x8/OTypUry7Bhw6wu16ZNGzEajVK3bl35/PPP5eDBg3LlyhW5c+eOnDt3TtatWyeJiYlSs2ZNcXNzk65duxa57aCgIAkPD5cxY8ZYzVK+fHmJioqSwYMHW13fkiVLxN3dXZo2bVrktrXmcXNzk8DAQFm6dGmR2/b09JS4uDj5+++/leTROjZLliyR4OBg8fLykueff15JHq1js2XLFvHy8pLHH3+cXStmHnaNXbO0PnaNXStuHnaNXWPXzLd9r3bthRdekPHjx1tdzhJOzBQ4f/68ruWKWn748OFy/vx5TetdsmSJLF++vMjlsrKyNG079/7c5YtaVss+as1z/vx5+f777zXn0bJtrXm0jo3IP3kOHDigadta8mgdm9xltI6NlnWya+yatXWya4Vj19g1a/vIrhWOXbOOXXONruVdXg9OzEpIdna2JCcnK1tOj4yMjCJn9yIif/31l8yYMaPI5fTso+o8WrOIqM9TGsZGxLXysGvqsGvWsWvqsGvWsWvqsGvWsWvq2KNrlnBiZmcHDx6UESNGSKVKlcTDw6PYy4mIXLx4UWbPni0PPvigpn1ITU0Vo9Fo8b67d+/KmjVr5IUXXhBPT08JCgpSso/2ymMti4h98ujJIqIuj54sevaTXWPXipNFz36ya+xacbLo2U92jV0rThY9+8musWvFyVIUTszs4Nq1azJ37lxp3LixGI1GadmypXz66ady4cIFm5bLtXbtWnnxxRfF29tbQkNDrb4ONy9LZTp+/Li88847EhYWJkajUbp37y5r166V7Oxsm/exJPIU9ouhOo/eLCrzaM1izzzsGruWH7vGrrFr+vOwa+wau2buXu2aVpyYKbRlyxZJSEiQsmXLSv369WXq1Kni5uYm+/fvt2k5EZETJ05IYmKihIeHS2BgoBiNRvn666917VdumW7duiVLliyRf/3rX+Lt7S3PPvusLF++XNzd3Yu1jyWZJ+8vhj3y6MmiMo+eLPbKw65ZziLCrrFr7Bq7xq6xa+wau6a/a3pxYqZI7dq1JTw8XN58802zgck/UFqX+/LLL+WJJ54QX19f6dixo3zzzTeSlZVl08DnlikwMFCaNGkiH3/8sVy8eLHY++iIPHl/0VXn0ZNbdR6tWeyRh12znkWEXWPX7JuHXWPX2DV2zZY87Jpzd80W/IBpRY4ePYoXX3wRLVq0QO3atYu9XHx8PEaOHIkVK1agXLlyVrc9dOhQq/dfuHABAJCTkwODwQCDwQA3N7di76OeZbXm0ZoFUJ9HT27VebRm0bOf7Bq7lhe7xq6xa5axa+xacZZj16xnAe7drtmCEzNFjh8/jgULFuCVV17BzZs30aVLF3Tt2hUGg8Gm5RISEvDRRx8hJSUF3bt3R+fOnREQEGBx27t37y5y/5o2bYrVq1djxYoVmDt3Ll577TW0a9cO3bp1s3kf7ZFHaxbgnw/2VplHT27VebSOjT3ysGvWswDsGrvGrtmSh11j19g1++Zh15y7azYp9jk3KmDdunXStWtX8fHxEYPBICNGjJBDhw7pXu7GjRuyYMECadq0qXh5eUmHDh3Ezc3N6gcEanX06FF56623JDQ0VAwGg8THx8uPP/5Y4A2LWrO4Wh4ty9krj9YsKvOUprFxtTzsmvOOjavlYdecd2xcLQ+75rxj42p5SkvXtOLEzI4uX74sc+bMkQYNGojBYJC6devavNzhw4dl1KhREhISIn5+ftKlSxdZsWJFsfcxJydHVq1aJc8//7x4enpKYGBgsbK4Wh6ty9kjj9YsqvOUlrFxtTzsmvOOjavlYdecd2xcLQ+75rxj42p5SkvXimIQEVFz7o2sSU1Nxbx58zB79uwil/vggw8wd+5ci/ffvXsX33//PebOnYvVq1cjKyuryNfF5po+fbrV+y9cuICFCxcWuT6tWXKX1ZPn1VdfLXKdQNFZAPV5isoC2C+P1iy5+8muFcSu/YNdK3wf2TXL2LV/sGuF7yO7VhC79g92TR9OzJzIrVu38NFHH+H9999HRkZGkcufP38elSpVQosWLYpc1mAwYP369Sp2UzNb8nTu3LnI5UpDFsC18rBrJYddY9dKCrvGrpUUdo1dKymlvWu8+Ici//rXv4pcxmAwYPXq1RgzZgx+/PFHeHh4YOTIkYiLi8P8+fPx1ltvwWAw4LXXXsPOnTsxfPhw/Pe//4Wfn5/ZejIzMxEXF4dZs2ahUqVK2LBhg6Z9vP/++zUtFxERoSnLunXrcPv2baV5tGaxRx6tYwNAeR6tWdLS0tg1dq1Yedg161nYNXatuHnYNXbNUhZ2TV2e0tI1W/CMmSJGoxHh4eF46qmn4OHhUehyPj4+mDNnDp544gn88ssv+Ouvv5CQkICNGzdi9OjRiI+Ph4eHB+Lj41G7dm288847Ftczfvx4HDx4EIsWLdK9j/Hx8ahUqVKhy73++uuassyYMQOjR492mTxaxwaA8jxas7z22mvsmgvkYdecd2zYNXatuHnYNXatOFn05GHXnLtrtuDETJH3338fCxYswN9//42uXbsiISEBMTExBZarXr06pkyZgmeffRZ79uxB/fr10blzZyxcuBDu7v//BGa1atWQnJyMBx54wOL29u7di2eeeQZpaWkYO3aspn2sVasW5s+fj40bN6Jdu3ZISEjAk08+CaPRaFMWe+Tp2bOnpizvvvsuvvrqK6V5tGaxRx6tY2OPPOyadewau8au2ZaHXWPX2DV27V7umk2KdRkSKmDLli3Sp08f8fPzk0aNGklSUpJkZmaa7vf09JSTJ0+avvfy8pLdu3cXWI+Xl5ekpaUVup20tDTx9vYWERGDwSD33Xef1K9fX+rVq2fxq379+qafPXXqlPz73/+W6tWrS5UqVeSNN96Qw4cP685ijzx6s6jMozWLPfNozaIyD7vGrrFr7Jo987Br7FpJ5WHX2LWSyqOna3pwYmYn169flwULFkijRo2kTJkypkIZDAY5d+6cabmyZctaLExoaKisXr260PWvWrVKQkNDRUSkXbt24u3tLc8884z897//1fX5CRs3bpTmzZuL0WiUixcv6spijzzFyVLcPFqzlFQeLVlU5GHX2DV2jV0rqTzsGrtWUnnYNXatpPJo7ZoWfCmjnWzevBnz5s3D8uXLER0djQ0bNsDHxwdGoxH9+vWDr68vAGDOnDno1q0b/P39zX7+0qVLOHr0KH7++ecC6xYRNG3aFNWrV8f8+fMB/POp6gsWLMCCBQtw5coVvPTSS0hISEDNmjUt7t+tW7fw9ddfY968edi6dSs6dOiAzz//HF5eXpqzALBLHr1ZVOXRmmX69Ono1auX3fLoyaIiD7vGrrFr7Bq7xq6xa+ya3jzsmr6uacGJmUJnzpwxG9Bu3bohISEBderUMS3TvHlzGAwGq+sxGAz49NNP0aBBA9SsWRPDhg1DzZo1YTAYcPDgQUybNg2HDx/Gb7/9hurVqxf4+U2bNmH+/PlYsWIF6tati59++sn0i7lt2zbMnTsXX375JapVq4aEhAR07doVAQEBurOURB5rWVTn0Zpl/fr1OHbsmPI8WrOozsOuFZ1FdR52jV1j19i1ksjDrrFrJZWHXbPcNd2Kdb6NTHJPgXbo0EG++eYbuXPnTrHXuWPHDomOjhaDwSBGo1GMRqMYDAaJjo6W7du3F/pzN27ckM8//1wefvhh8fHxMZ36rVOnjgQFBcngwYNlz549JZrF1jyFZXG1PFqz2CsPu8aulVQedo1dK6k87Bq7VlJ52DV2TRWeMVPEaDSiSpUqqFSpktVZ/K5du4pc144dO9CoUSPT97t378bRo0chIoiKikK9evUs/tyvv/6KefPm4auvvkJUVBR69eqF+Ph4lC9f3rSPZcqUgbu7u9V9vHz5srIstuYpKouj8uTPoiqP1iwXL15k1xTnYdcsY9fU52HXLGPX1Odh1yxj19TnYdcsu3jxYpH7aAk/YFqR9957T9fy165dg5ubm9lp3tTUVLzzzjtYtWoVcnJyTLfXr18f9evXL3Rd77//PubPn2+6vOjmzZtRt27dAsvlvr65KOnp6dqD/B9VebRmAeyXR08WQE0erVkAdo1dY9fyYte0YdfYtfzYNW3YNXYtLz1dswXPmJWwU6dOoXPnzti6dSvc3NwwcOBA/Pvf/0b//v2xdOlSPPPMMxg2bBiWL1+uaX3Tp0+H0WhE1apV0b59e3h6elpdVjXVeWbOnOn0WWJjYzF06FBN6ywNedg1583CrrlGntIwNuyaa+QpDWPDrrlGntIwNqWla3lxYlbCunXrhr1796Jv375YsWIFNm3ahHr16uHBBx/EO++8g8jISABAixYtilxX7hsb9bwJUjXVee7evev0WQDXysOuWV+OXSsau2Z9H0vD2ACulYdds74cu1Y0ds36PpaGsQFKRx6zbXBipkb9+vWLHFAAOHfuHL766is89thjyMjIQEhICCZMmIBRo0bZfR8DAgI07WN4eLim5Xbt2oX77rvPZfKUhrG5ePEiu+YCeUrD2LBrrpGnNIwNu+YaeUrD2LBrrpGnNIwN32PmYHFxcZqWGzt2LKpVqwYAqFy5Mnx8fPDMM8/YtE1Lb2wEgL/++gsGgwGBgYFmt8+cOVPTevW8xjcjI8OueQrLAqjPo3JsAH15tGYB2DWAXcuPXSsau8au5ceuzdS0XnaNXcuPXbMj5dd5JKuMRqOcP3/e9L21TysXEbl69arcuHHD7Lbdu3dL+/btxWg0mm67dOmSDBgwQAIDA02XAg0MDJRXX31VLl26pDxHLnvkKS1ZRFwrD7vmvFlEXCsPu+a8WURcKw+75rxZRFwrD7vmvFlEnDtPXjxjVsJEBC1btoS7+z//9Tdv3sTTTz9d4I2G//vf/4p8Y+PmzZsB/HO6NDY2FqdPn0bXrl1Ru3ZtiAgOHjyIBQsWYN26ddiyZYvFD767desWvvzyS1y/fh1PPPEEatSo4dA8xclS3Dxas+zatUvTG0+Lm8fZxgZg11TlYdfYNXbNOcYGYNdU5WHX2DV2zbaxyYvvMVNE62uWtZ5qPXLkiOY3Ng4ZMgTr1q3DTz/9hODgYLP1ZGRkoHXr1qYC3759G7NmzQIA3L59G4888gj2798PX19fZGdnY+3atRgwYIDm1yyPGTNGaR6tWWbMmIERI0YozaN1bN577z3NbzxVPTaxsbHsmqI87Bq7Zgm7xq4VNw+7Zh27xq7dK12zBSdmiuQtvIhg4sSJ6N+/PypUqGC2nNbPz9DzJs2IiAh8/PHHaNOmjcV1rVmzBv3790fZsmUxYcIEdOjQAcA/n8UwbNgw7N69G1WrVkVCQgLOnz+Phx9+WGkWPXm0ZklPT0dMTIzL5NE6Nt9//z27pigPu8auOdvYsGvq8rBr7Bq7pj+LnjzsWtFds4nyF0eSiPzzetdjx45ZXWbPnj2yfPly+frrr2XPnj1m9xmNRjl79qzpe19fXzlw4IDF9Xh6esrJkycL3c7JkyfFy8tLypUrJ0eOHDHd/uKLL0rfvn1N3+/evVuqVKliUxZVebRmERG75rGWxR55bM2iIg+7Zj2LCLumKg+7Zj2LCLumKg+7Zj2LCLumKg+7Zj2LCLumh9G26RwVx/bt21G3bl3Ur18fnTp1wgsvvID69evjgQcewI4dO0zLubm5mf5tNBrh7e1tcX1BQUFWr2Rz/PhxBAYGwmg0QvKcIN26dSseffRR0/fly5fHpUuXHJpHa5bcdajOozWL6jylYWxcLQ+7pi6LnjzsWuFZctfBrqnJw64VniV3HeyamjzsWuFZctfBrmlk85SOrCpslr9//34pW7asNGrUSJYsWSK7d++WXbt2yeLFi6Vhw4ZSrlw52b9/vxgMBqlbt67Ur19f6tevL25ubhIdHW36PvdLRCQhIUGaNm0qWVlZBbZ369YtadasmSQkJMgjjzwi06ZNExGRffv2idFoNLuKzcaNGyU8PFxzFnvk0ZpFRJTn0ZpFRJTnsTWLijzsGrvGrtk3D7vGrrFr7JoIu6YqT2ntmhZ8j5mdlCtXDnv27MH9999vdvsLL7yAnJwcrFixosAbHEUEzz33HDw8PBAdHa1pO++99x5OnTqFhg0bwsvLC6+++ipq1aoFADhw4AA++ugjZGVl4bfffsP27dvRpUsXNGnSBPv370ejRo3w7bffmtb1xhtv4Pjx4/jqq680ZbFHnt69e2vKEhYWhhUrVijNozXLV199pflNtFrz2Do2KvKwa+wau2aOXVOTh12znsUeedg1do1dc96uacGJmSKzZ882+/6NN97AiBEjEBQUZHb7uHHjsHr1ajRs2NDienbs2IEnn3wSFy5c0LX948ePY8CAAfjxxx9Np1gNBgOeeOIJfPjhh6hevToA4KeffsL333+PypUrY9CgQfD19TWtY8yYMWjWrBl+//13TVkGDx6MihUrKs+jNYvqPKVhbJo3b86usWvFzsOusWvFyaInD7vGrhUni5487Bq7VpwsevJo7ZotODFTJO/lUAtjMBhw5swZHDlyBGFhYRaXOXnyJGrUqIFbt26Zbvv9999x+PBhGAwG1KhRAw888ECh27h06RKOHDkCAKhevXqBK9looTVLWloavL297ZZHRRbAvmMDuFYeds15xwZwrTzsmvOODeBaedg15x0bwLXysGvOOzZAyeexBT9gWpHjx49rWq5WrVrYvn17oWXatm0bwsPDAfzzxsbevXvjwIEDZjP36OhozJ07F40aNSrw8wEBAWaXG80r/zMRhdGaBfjn8qL2ymMtC6A+j56xAdTm0ZrlgQceYNfYNQDsWi52zTp2jV0rDLtmHbvGrlmip2u24MSshHXu3BlDhw5FzZo1ERMTY3bf3r17MXz4cPTo0QMHDhxAy5YtUbt2bSxatMjsE8hnzJiBli1bYuvWrahTpw4SEhI0bXvBggUwGAywdJI093aDwYCcnByH5Zk6daqm7c6bNw/16tVTmkdrFgDK85SGsWHX2LXi5mHXrGPX1OVh16xj19TlYdesY9f04UsZFVm/fj0GDhyIrVu3ws/Pz+y+zMxMNG7cGElJSXj44YfRsmVLbNu2DU888QRq164N4J/i/PTTT3j44Yexfv16dO/eXfMbG41GI8LDw1G/fn2LRck1c+ZMTVmOHTumKUvTpk1x69YtpXm+/vprTVmSk5Nx4sQJpXm0jo23t7fmN55qzaN1bMLDw9k1dq1Yedg1ds1SFnaNXStuHnaNXbPkXu6aTYSUePrpp2X69OmF3j9r1iyJi4sTEZGsrCyZNGmSPPjgg+Lj4yM+Pj7y4IMPysSJE+XWrVsiIhIUFCQ7duwodH3bt2+XoKAgERF55ZVXJCAgQB588EGZNWuW/P333yWWRXUe1Vn05tGSxdXysGvOOzauloddc96xcbU87Jrzjo2r5WHXnHdsHJ3HFpyYKVK1atVCP+ldROTgwYMSFhYmKSkpcufOnSLX5+XlJX/++Weh9//555+mT1QX+eczFpYsWSKtWrUSX19feeGFF2TNmjVy9+5dzRlWrFghdevW1ZxFROySR0UWW/JozeKIPLlZRNg1lXnYtcKziLBrKvOwa4VnEWHXVOZh1wrPIsKuqczDrhWexVacmCni5eUlR44cKfT+I0eOiLe3txiNRjl37lyR66tZs6Z8/fXXhd6/fPlyiYqKsnhfenq6JCYmyv333y9hYWFy9epV032ffPKJdOzYUbp06SJbt24VEZF169ZJvXr1xMfHR/r166c5i4jYPY+1LKrzaM1irzxasoiwa/bKw66xa+wau6YiD7tWNHZNTR52rWiO7JotODFT5P7775eVK1cWev+KFSskMjJSDAaDpjK9++67UrVqVdm7d2+B+37//XcJDw+Xd9991+LPnjhxQsaMGSORkZFy3333mco0ZcoU8fDwkAYNGoivr6/4+vrK+PHjJTAwUBITE+XChQu6soiI3fMUlsUeebRmsUcerVnskYdds57FHnnYNXaNXWPXRNg1do1dc+Wu2YITM0UGDhwoMTExcvPmzQL33bhxQ2JiYmTQoEFiMBjk/PnzRa7v5s2b0rhxY3Fzc5O2bdvK66+/Lq+//rq0adNG3NzcJDY21mxbeU+/ent7S8eOHeX777+XnJwc0zK1atWSuXPniojIhg0bxGAwSMuWLeXSpUs2ZRERu+TRksUeebRmsUcerVnskYddY9fYNXbNHnnYNXatpPKwa+xaSeXR0zVb8KqMipw7dw4PPfQQ3NzcMHDgQNSsWRMGgwEHDx7EnDlzkJOTg127dqFKlSro16+f2aeEWzJ9+nTcvn0bM2bMwNKlS3H48GEAQFRUFF588UW8/vrr8PLyAgAMGDAAy5YtQ9WqVdGrVy9069YNgYGBBdbp6+uLP/74A1WrVgUAeHl5YdOmTXjkkUdsyhIcHAyj0ag0j9Ys9sijZ2wAKM2jNYu98rBr7Bq7xq4B7Bq7xq6xa+yaqq7ZghMzhU6cOIFXXnkFP/zwg9kH2LVp0wYfffQRIiIiYDQaERsbC09Pz0LXYzAYsH79eqvbOnnyJN577z3MmzcPRqMRVatWRf369QtcCjSvb775BhkZGahUqRIAoFy5ctizZw/uv/9+m7IAUJ5nwYIFmrKsXLkSRqNRaR5VWWzJo2dsSjoPu8ausWvFy8OusWuWsgDsmqo87Bq7ZksWW/Lo7Zpe/IBphcLDw7Fq1SpcunQJR48ehYigRo0aCAgIMFsuOTnZNKC2unjxIj7//HPMmzcPL730ktUS5fXZZ5+hbNmyAIDs7GwsWLAAQUFBZssMHjxYcxbVefRksUceFVlszaM1C8CuqcjDrrFr7Jr987Br7FpJ5WHX2LWSyqOna3rxjFkJc3Nzw9mzZ4tdpj179uChhx7S9cniERERRZbOYDAgLS1N8zpdKY+qLID+PByborlSHnbNMmcYG8C18rBrljnD2ACulYdds8wZxgZwrTyu1rW8eMashDlyHpyenq58na6Ux5WyAMyjErtmHfOow65ZxzzqsGvWMY867Jp2RruunQqYP38+/P39Hb0byrhSHlfKAjCPM3OlLADzODNXygIwjzNzpSwA8zgzV8qSH1/K6CDLly83XR3GYDCgRo0aiI+PR8eOHQEAzz33nNWfv3z5MlJSUnSdSh47dqzF2/39/VGzZk20bt0aRqNtc3VXylNUFkB9Ho6Ndq6Uh10z50xjA7hWHnbNnDONDeBaedg1c840NoBr5XG1rgGcmJW4u3fvokuXLli+fDmioqJQq1YtiAj++OMPHD16FC+88AKWLl2KhIQETeubP3++5m3Xr1/f4u2XL1/G6dOnER0djR9++EHXa3ZdKY/WLAaDAb169VKah2NTNFfKw66pyQIwj6os7FrRmEdNFnataMyjJktp6ZqZ4nwIGumTkpIi//73v6VChQry7bffFrj/v//9r1SoUEFmzJhR4vt25swZad68ufTu3VvT8ikpKXL58mWZNm2ay+RxlbERca087FrJYdfYtZLCrrFrJYVdY9dKii1dy48TsxJkMBjEzc1NOnXqVOgyn332mcTExCjfdu4vpjWbN2+WyMhITeszGAxSoUIFqVKliukT0C2xRx4tWUT053GVsRFxrTzsmjrsmnXsmjrsmnXsmjrsmnXsmjr26Fp+nJiVoPT0dPH09JRXXnnF6jLe3t7Kt537izl16tRClzl+/LiUKVNG0/rS09Nlw4YN4u7uLidOnLC6nOo8WrKI6M/jKmMj4lp52DV12DXr2DV12DXr2DV12DXr2DV17NG1/HhVxhIUHh6OMmXKoH///oUuc+XKFfj4+Cjf9vHjx7FixQr89ddfhS6zZ88e0yfEFyU8PBzNmzdHuXLlcPny5UKXs0ceLVkA/XlcZWwA18rDrqnDrlnHrqnDrlnHrqnDrlnHrqljj67lx88xs4MTJ04gIyMDBoMBwcHBCA8PN90XGxuLpKQkJCUlWfzZOXPmIDY2Vvk+hYeHIyAgAA899BCuXLlidl9mZiZ27NiBYcOGoU+fPpqzAI7JEx4ejvDwcItZANvzlLaxAVwrD7tm3ywAu6YlC8CuqcCuFZ0FYNdUYNeKzgKwayoUp2ua2XyujQqYPn26hIaGitFoFIPBIAaDQYxGo4SGhprehPjLL7+Ih4eHvPDCC7Jt2zbJzMyUy5cvy6+//iodO3YUDw8P2bx5s837kJ6eLlu3bpVt27ZJenq62X25+2Ppy83NTQYMGCC3b9/WnMXeeaxlsUee0jI2rpaHXXPesXG1POya846Nq+Vh15x3bFwtD7vmvGNjC07MFBk7dqz4+fnJpEmTZPfu3XLmzBk5ffq07N69WyZNmiT+/v4ybtw4ERFZuXKlBAUFFRjQwMBA+frrrzVvM++bELUUeePGjRa/du3aJVevXrUpiz3yaP0jY488qrLozaM1i6PysGvsGrvGrunNw66xa+yaeRYRdu1e6potODFTJDQ0VJKTkwu9f+XKlRISEmL6/vr167Jy5UqZPHmyTJ48WZKTk+X69eu6tpn7JsQ2bdro+sVUnUVlHh8fH/H29laWxZY8KrK4Wh52zT552DXLWdg19XnYNctZ2DX1edg1y1nYNfV5nL1rtuDETBEfHx85cOBAoffv27dPfHx8lG4z90o75cqV01Tk69evy4ABAyQkJEQqVqwoXbp0kQsXLhRY3hFZRP7JU7FiRXnuuecKXSbvL6Ur5dGaRYRdU4FdY9fyc4axEWHXCsOuFY1dY9fyc4axEbl3u2YLTswUadasmXTt2lXu3LlT4L47d+5IfHy8NGvWTNatWye1a9eWzMzMAstdvnxZ6tSpI5s2bdK1ba1FHj58uPj6+krfvn1l0KBBEhQUJB07drQ5i4goz6Pnl1J1ntIwNq6Wh11z3rFxtTzsmvOOjavlYdecd2xcLQ+75rxjYytOzBT5/fffpXLlyhIQECBxcXHy8ssvS//+/SUuLs70wX779u2Tp59+WqZPn17oembNmiVxcXFmtxX1pkqtRb7//vtl6dKlpvu2bdsm7u7ukp2dbVMWEVGeR88fGdV5bMmiKo/WLPbOw64VzCLCrrFrxcvDrlnPYu887FrBLCLsGrtWvDzsmvUstuLETKErV67IRx99JC+99JK0bt1aWrduLS+99JIkJSWZZvVVq1a1OiM/ePCghIWFiYj2K+1oLbKHh4ecOnXKbHve3t7y559/2pTFHnn0/JFRnUdPFtV59GSxRx52jV1j19g11XnYNXatsCyq87Br7FphWVTn0ds1vTgxK2FeXl5y5MiRQu8/cuSIeHt7677SjpYiG41GOX/+vNn2ypYtK2lpaU6VR+sfGdV5tGYR0XflIFcaG1fLw64VP4uePOwau+aMY+Nqedi14mfRk4ddY9eKOzZ5cWJWwu6//35ZuXJlofevWLFCIiMjbbrSTlEMBoM8+eST8uyzz5q+3N3dpXXr1ma36eFKebRmEbHtSkglmUXEtcZGxLXysGuWOcPYiLhWHnbNMmcYGxHXysOuWeYMYyPiWnlcrWtm6xcRKeYHYZMGrVq1QlpaGp566ils3LgRO3bsgLe3t9kyN2/exMMPP4wWLVrgs88+w86dO1G7dm2L69u/fz8aNWqEGzduaN6HXr16aVpu/vz5Vu/PzZKWloZBgwa5TB6tYzN79mz4+voqzaMqC8CulYY87Jrzjg27xq4Vhl2zjF1z/rFh15yza5ZwYlZC5syZg7/++gv9+/fHQw89BDc3NwwcOBA1a9aEwWDAwYMHMWfOHOTk5GDXrl3o3LkzQkNDsWDBAri7u5utKzs7Gz169MDp06excePGIred9xdTZZb33nsP586dK9E8qrPkzaN1bIKDg9G8eXOXycOulUyWvHnYNXbNnlny5mHX2DV7Zsmbh11j1+yZJW8eV+maRTafayObpaenS7t27Qq8CbFdu3Zy/PhxEdH3psqifPjhh5KYmOgSeZwhi6vlYdecN4ur5WHXnDeLq+Vh15w3i6vlYdecN0tpypOLZ8wc6NKlSzh69ChEBDVq1EBAQIDZ/VevXsWiRYuwdetWZGRkAAAqV66M2NhYxMfHw8/Pr8T3WURgMBgs3lca8xSmqCyAa+UpTVkA18rDrjk2y/HjxxEWFlbgmdRcpS2PNaWxa9nZ2ffE2AClM09hxwSlsWvWlMaxscaV8rha13jGTJH27dvLF198ITdu3HD0rhTbrVu3ZOjQodK0aVN5//33RURk3LhxUqZMGfH19ZUuXbpY/FA/e7t7967NP5uamirdu3eXyMhI8fb2ljJlykhMTIy8/fbbDslSXNu3b5f4+HiJiIgQb29v8fHxkYiICImPj5cdO3Y4eveUOXr0qLRo0cLRu6HLmTNnZOHChfL9999LVlaW2X3Xrl2TMWPGOGjPbPPjjz/Ku+++K+vWrRMRkZSUFGnbtq20aNFC5s2b5+C9Kz4PDw+rl122p7S0NIufmaNF/m4dPXpUXnvtNXnyySeld+/e8ttvv6nYxRKzevVq+f3330VEJCcnR8aNGychISFiNBrlvvvuk4kTJxbrMcAWto6NKx0PiPCYwNndK8cDIqXzmEAvTswUMRgM4u7uLv7+/tK/f/8SfVBU/SDw+uuvS0hIiAwbNkxq164tr776qlStWlUWLVokS5YskerVq8ugQYOUbCs/ezwArFmzRnx8fCQuLk66dOkivr6+MnDgQHnjjTekevXqUq1aNTl79qw94oiI+geA5ORk8fDwkLZt28qMGTNkyZIlsnjxYpkxY4a0a9dOPD095ZtvvrFDkn+U5INAamqqGI1GpevUypYHgO3bt0v58uXFz89PfHx8pEaNGmYvkcjIyLBrHtWTwoULF4q7u7s89NBDUrZsWZk/f76UL19e+vTpI7179xZPT09Zvny5yghmVE4K814tK++X0WiUVq1aFftKWrYozqTQaDTKuXPnRERk9+7d4uvrK/Xq1ZO+fftKo0aNxNPTU7Zt26Zyd03sMSmsU6eO/PLLLyIiMmHCBAkMDJTp06fL6tWrZebMmRIcHCyTJk1Ssv/5qZ4UutLxgAiPCVRTeUxwLx0PiJS+YwJbcGKmiMFgkP3798uMGTOkbt26YjQa5YEHHpAPPvhALl68qHx7LVu2NF0KVPWDQFhYmKxdu1ZERI4dOyZGo9HsF/vHH3+U8PDwYm0jv9w89ngAqFevniQlJZntf61atURE5Pbt29KyZUvp2bOnXfLY4wEgOjpaJk6cWOj9kyZNkjp16hQ3gknerql+EJg1a5bVr5EjRyr/I5w3jzW2PAC0atVKEhISJCcnR65cuSIDBgyQwMBA2bVrl4jYZ2KWm8cek8J69erJrFmzRETkp59+Eh8fH5k+fbrp/mnTpsljjz2mJoiYj43qSaHBYJBmzZpJz549zb6MRqPExcWZvlcpN489JoUGg8E0MWvfvr107NjRbPLQq1cvadu2rV3y2GNSmPcDWmNiYuTLL780u/+7776T6tWrqwki5l1TPSks6eOBvHnsMSnkMYGaLCLqJ4UlfTwg8v/z2GNS6GrHBLbgxEyRvA+SIiLbtm2Tfv36ib+/v/j4+EiXLl1Mz/qqkPdNiCofBFJSUsTHx0dOnDhhus3Dw8PsAO/48ePi6+urJsj/yc2j+gEgJSVFvL29zd4IevfuXfHw8JAzZ86IiMimTZukYsWKSnLkys2j8gEgJSVFLl++LF5eXnLo0KFCl/vjjz/Ey8ureAHyyNs1lQ8CKSkpYjAYJCQkRCIiIix+5T5rrVJuHtUPACkpKVK+fPkCYzN58mQJCAiQ7du322VilptH5aQwt2tlypQx+9BMDw8P2bNnj+n7P/74QwIDA5VnEVE7KUxJSZG5c+dKaGhogTNt7u7usn//fkUJzOXmUT0pzP3dyX3MCQ0Nlc2bN5stk5qaKsHBwXbLo2pSmNu1KlWqyK+//ioiIsHBwabe5jp8+LD4+PgoSmLeNZWTwvxjI2L/4wER87FROSl0pWOC3K6V9DFB/r9rKo8JSvp4QOT/51E9KXSlY4LcrtmCEzNF8v8hznXjxg2ZP3++PP7443abaat8EMi9qk23bt1E5J/T1J6enmYHM8uWLZMaNWqoDfF/VD8A5Obp27ev6bYjR46Im5ub6eU4aWlpSh/w81L5AGAwGKRChQoSHBwskydPLnS5yZMnS+3atYu134VR+SCQv2uW7N69266/NyofAHKvCjV06NAC902ZMkXKly8vK1eutFuegIAAZZPC3K75+PjIH3/8Ybq9bNmycuzYMdP3aWlpyg/IcqmcFObmGT16tDz++OPy3HPPmQ5S7Tkxy7V06VKlk0KDwSAATAd74eHhppfi5UpLSxNvb2/bd7qI7auaFOaOTePGjaV9+/aSnZ0t/fr1kz59+phN9gYPHiyxsbHqQuShclKYOzbvvfdegftK2/FA7vpc5Zggt2uBgYGyZs0a0+2l+ZjAzc1NnnrqqUKXKS3HAyKudUyQ27WpU6fq3g9OzBQpbGKW1+HDhzWtS+9MW+WkMD09XV599VVxd3eXVq1aSUBAgHzwwQdSuXJlGTlypIwaNUr8/f1l7NixmvevqDx5H3xr1qwpy5YtExE1DwDp6enSs2dPKVeunCQlJcm8efMkJibG7GVDK1eu1HWWR8/YVKtWTdkDQHp6umzYsEHi4uLE3d1dnnzySZk5c6YsXbpUli1bJjNnzpSnnnpKPDw8ZMWKFXbJU6dOHWWTwvT0dGnatKk88sgjhS6TmpoqBoNB8/7pyRMREVHgmfG89D4ApKenywMPPCBt2rSxeP/7778vXl5ednvGLSAgwGziksuWSWFu1ypXrmz27HRmZqbZ7+vatWslKipK0zr15ilfvryySWFunlGjRklOTo68++67EhYWJmvWrBEPDw+bJkfW8li6qEd6erqySWF6eroYDAbx8vKSgIAA8fDwkMWLF5st88MPP0hERESxs1hiNBrl/PnzIlL8SWHu2AwZMkQaNmwo1atXl+7du4u3t7eEh4fLE088IZGRkeLn5ydbt24tdh5LF/QYMGCAsklh7tgU9fI6rccDIvrGR/WTxKqPCbRksdcxQW7XHn/8cQkNDXWJY4LExEQxGo1Kjgf05lF5PCCi/phA79ioPCbI+5ijFydmijRv3lwuXbqkZF0Gg0E8PDykS5cumt7Aq3JSmGvRokUycOBA0x/EDRs2SJMmTaRBgwaSmJgoOTk5mtdlMBgkICBAmjZtWuQbeGfMmCHe3t7KJoUi/zwQjxw5UkJCQiQwMFDi4+PlwoULpvu3bdsmKSkpmrPkPgui5Q28Y8aMUfYAkNeWLVukc+fOUrVqVfH09BRPT0+pWrWqdO7cWbZs2aJ5Pbl5Bg8erOkNvF9//bWySaGIyP79+62+Qfj27duSnp6uO4+1Z6ly38D7/PPPy8iRIwtdTu+kUETk008/tfps3+TJkzUfLOfNouWiHk2aNDF7iUxeeieFuVauXGn1d2PixIny9ttva1pXbp5+/fppuqBHw4YNlU0KLdm8ebPp/VK2nrUqrGuFXdRD1aRQRGTBggVmX/knLWPGjJHXX39dV5b876Mq7KIeBoNBypcvr2RSmNft27clKSlJnnzySalVq5ZERUVJs2bNZPTo0XLy5EnN6zEYDFK2bFkZNmyYiBR9QY/Lly8rmxSKqD0eyM2j9ZjAHscDIuqOCfJ2TctFPUrLMcHQoUM1XdDDHscEqo4H8ubRckyg+nhARO0xgdazVvY8JrAFJ2ZOKPcZN6PRqOkNvLY8CKSnp8vWrVtl27Ztug58bZGeni4dO3Y0PVAW9QZeWx4ASipP7rMgnTp10vQGXlseAEp6bMaNGydGo1HzG3j1PgiUdJ6inqXKfQOvrQ8AJd21Hj16aLqohy2TwpIem9GjR4vRaNR0QQ9bJoV681y9elVSU1MLTHa15mnSpIlERUXpvqiH1klhSXct70G9tYt62DIpLOmuhYeHm34ftFzQQ++ksKTzaD0msHVSWNJda9SokeaLeug9JijpsZk8ebK4u7truqCHqx0T2DIpLOmuFXXWqjjHBPbIwomZHWRnZ0tGRoacO3dOsrOzbVqHva7qNH36dAkNDS3wSemhoaEyY8YMu2QRsd9VnRyVxx5XddKbRRV7XdXJUXnsdVUnR+Wxx5UeHZXFXld5dFSe4lzUw9qk0JF5VF/p0VFZ7HWVR0eOjTMcE6hij2MCR/5ds8dVHnlMoIY9jgnsmYUTM4VWrlwpjRs3Fk9PTzEajWI0GsXT01MaN24sycnJBZa3NtO29Q281iYeY8eOFT8/P5k0aZLs3r1bzpw5I6dPn5bdu3fLpEmTxN/fX8aNG2dTlqLy2PIG3qImUfbMU9SzILa8gVfV2BTlwIEDBS79ai2PPa7qpCqPpSxF5bHHVZ3smaeorqm8qIfKLLbkscdVHh3ZNdUX9bB3nqK6pvpKj47smj2u8ujov2uqr/ToyK6pvtCXI7tmj6s86smTmpoq48aNkzlz5pidfRP55yXgvXr1KrB+Zz4m0JtHy981lccEKrtmCSdmivznP/8RT09P6d+/vyQnJ8uWLVvkl19+keTkZOnfv794eXnJJ598IiLaZtp638CrZeIRGhpa6KQqdx0hISG6smjNo+cNvFonUfbIo/VZED1v4FU5Nlrk/awNLXlUvoE39wFNVZ78nxuiJY+qN/DmfXC2Rx6tXVN1UQ/VY2NLHpUX9HCGromouaiHs3RN1UU9nKFrKi/o4QxdU3VRD2fpmqqLejhD11Re0ENvnh9++EE8PT0lOjpaqlatKkFBQbJ+/XrTcvmfuFN9TKB1EmWPPFq7pueYQEselV2zxB2kxJQpU/DRRx+hd+/eBe6Li4tDo0aNMH78eGRkZGDq1KkYPXo02rRpg+DgYIgIzp8/jx9++AGJiYm4du1aodvx8fFBz5490bNnTxw5cgQA8PHHH2Pw4MFISEjAiBEjCqzzxRdfxAcffIC///4bNWvWLHTdUVFRuHTpkuYsffv2xbhx4zTl6d+/P3r27InPPvsMO3fuxLRp0zB69Gj88ccfMBqNSEpKwrBhwzRn6du3r/I8Wsfm7bffxksvvYQ+ffrgrbfegpeXF6ZPn44OHTrA09MTAJCamorIyEjlYwMAQ4cOLXQ5ALhw4QIAaB6bsWPH4sUXX0RKSgpat26N4OBgGAwGZGRkYO3atfjxxx+xbNkyq9vMdfv2bZw4cQJeXl6a8mjNoidPgwYNsHPnTnTq1MniOg0GA0REcxYAmsdH9di8/fbbiImJwZYtW/DAAw+YrWv48OEQEXTp0qXILHnzaB0bQH3Xqlevjj/++MO0/dOnT6NcuXKm9R07dgyhoaF2yWOPrr399tsIDw9HSkoKxowZgwcffBCffvopDAaDpgz5swCO7ZqIICoqCgaDAdeuXcPevXtRt25d0zqPHDmCypUra87jyK5NmDABrVq1Qq1atRAbG4vly5dj7dq1iIqKwtGjR/H333/jxx9/LDKLLXns0bXCWDom0JIFcGzXtB4TaM3jyK5pPR7QQm+exMREDB8+HOPHj4eIYOrUqejQoQOWL1+Otm3bmv2M6mOCH3/8EU8//TRq1KiBq1ev4r333sNXX32FFi1aAABu3ryJzz//HPPmzdPcNa159HRN6zGB1jx6umYLg2g5QqEi+fj4IDU1tdDB+uOPP1C/fn0EBQXhgw8+QFxcnMXlkpOTMXDgQERFRSE5ORnly5cvctvVq1fHm2++aXHiAQDz5s3D+PHjERYWhtDQUCxYsADu7uZz8uzsbPTo0QOnT5/Gtm3bNGW5efMmwsLCNOU5ffo0Fi9ejK1bt+Lxxx9H586dsXHjRrz77ru4ceMGnn76abzzzjuIiorSlOXYsWNo3ry50jxax+b06dPIzs7GW2+9hUWLFiErKwtt2rTBrFmzEBQUBADYvn07bt26hYSEBKVjs3HjRri5uaFevXrw8/OzuM5r165h165dCAkJ0Zzn119/xaxZs/Drr78iIyMDAFC5cmXExsbitddeQ2xsLABtD2hLlixBkyZNNOX5+eefNWXJycnR3LW1a9fixo0baNiwocXl7ty5gzNnzmDWrFmasuTk5GjumtY8esbms88+Q0pKChYuXGhx2ffffx9JSUl49tlnNeXROjb26NqHH36IwMBANG3a1OJykyZNwvXr1zFu3LhS0bXTp0+b3f7LL7+ge/fuOHHiBPbu3Ys6deoA0P574+iuff7552b31apVC4888ojp+7Fjx+Ly5ctWs+TN48iunT59Gnfu3MHcuXPx7bffIi0tDXfv3kWVKlXw2GOP4ZVXXjE9CVAauqb1mKC0dA2ApmOC4cOHa8rjyK6dOHFC0/FA06ZNlXdt9+7d2LVrF6pVq2a6f+nSpejbty+WLl2Khx9+GCEhIbr/rmk5JmjcuDFatGhhNokaO3asaRJ17tw507a1dk1rHj1dO3DggKZjgi5dumjKo6drtuDETJGGDRuiWbNmmDZtmsX7hw0bhpSUFBw4cAA7d+5E7dq1LS63f/9+NGrUCDdu3NC8ba2Twu3bt6N169bIyspCs2bNzJ4F2bRpE7y8vLB27Vr06NFDU5bffvsNvr6+SvNozXLz5k3s3btXaZ7SMDbR0dGoVasW3n77bXTr1s3iOlNTU9GgQQN4eXkpz6P1AS01NVVTnueff15TlpycHOVd05olJydHc9e05ikNY8Ou2Zbn2rVrOHbsGGrXrm16xpxdY9csZeHfNXV57tWutWjRAqtXr0aDBg3M1vPll18iISEB06ZNw6uvvmqXrvn7+2ueFGrtmtY89hgbrXn0dM0mNr8Iksxs3LhRypQpI3Xq1JEhQ4bIxIkTZdKkSTJkyBCJjo6WsmXLyqZNm6RZs2bStWtXix9yeefOHYmPj5dmzZqZ3V7URTAaNGggQ4cOLXTfhg4dKg0aNBARkStXrshHH30kL730krRu3Vpat24tL730kiQlJZk+a0NrFhFRnkdPFtV5bMmiMo+WLCIi8fHxMmTIkELXmftZG7bmsaZmzZqycOHCQu/P+1ptLXm0ZhGxrWuqsqjOUxrGxtXysGvOOzauloddc96xcbU8TzzxhEyZMsXiupYsWSIeHh6m9anOU7FiRYsf27Bs2TLx9fWVpKQk3V3TmsceY6Mnj9au2YJnzBRKT09HUlIStm7dWuDUb//+/REREaH5WYPo6GgkJydj6tSp+O2335CdnQ0AcHd3R8OGDTFixAjTKdyUlBQ89dRTCA8Pt/h64BMnTmDVqlVo0qSJ0iwAlOexRxZ7jA0Ah+XJyMhAVlYWwsPDrS6nN09hDh48iKeeegppaWno2rUrKlWqhBkzZlhcds+ePahfvz7u3r2rNIs98sTGxirNoiePqiyuloddc96xcbU87Jrzjo2r5bFn15KTk7Fp06ZC17d06VJ88skn2LBhg648e/bswbfffosKFSqgU6dOppdlAsCVK1cwZMgQnDp1Cq1bt7b4ctOlS5eiR48eyMnJQU5OjqYsevLMnj1b19g4Ko8tODFzgKtXr2LRokUWJwnx8fHw8/Mzu2iEpTc2zp8/33QRDED7RKo05HH2LABcLo81e/bswUMPPYScnBxdBxz2oDLP6dOnS30WwLXysGv2wa4VxK7ZB7tWUGnrWv6LYNy4ccPsIhi577X6+uuvNU8KHZUFQKnJk4sTMzs4ceIEMjIyYDAYEBwcbNMvoNYLehw7dqy4u2vSqlUrpKWlIS0tzXSbiiwA8xSXpSyAmjx63iyuij3HhnmKh13TjnmKh13TjnmKh13TTs9FPVRxpTyFdU0rXi5foRkzZmD69Ok4c+aM6XLcBoMBISEhGDZsGIYMGaJ5XadPn8bjjz9e6P2NGzfGmTNnCtxenCI/++yz+Ouvv5RnsTVPcX8pXSlP3iyq88yaNavINyNb4qxdsyWPM3etpPOwa9qxa+xaYXlK+9i4Wh52Tbv9+/ebrgJsMBgwYsQIhIaGomPHjqaLYKjM4mp58ndNt2K9Q41MVH0SeMuWLSUyMlL3RTC0ftBeSWaxNY/KLCrz5GYR0XdRD2fPo/fN4s7eNT15nH1sRPS9WdzZ87Brzjs2Iuwau2bfPOyaKM9jj67puQiGs4+NiL6LeqjOYwtOzBRR9UngH374oSQmJuq6MqLKX0yVWWzJoyrL3bt3lefJzSKi/UqPqsfGHnn0XEGsNHRNa57SMDYi2q8gVhrysGu2Z0lLSzO7Ahm7Zj1PSXYt/5XhSnvX8ivtXct7PGCPPK72d03rlRFLS9ccmccWnJgp4uPjIwcOHCj0/n379omPj4+udR4/flxGjhwpTZs2laioKImKipKmTZvKG2+8IcePHzctp7XI7du3ly+++EJu3LhR4llEtOXR80t569YtGTp0qDRt2lTef/99EREZN26clClTRnx9faVLly6SmZlZavKkpqZK9+7dJTIyUry9vaVMmTISExMjb7/9ttnlV1XnOXv2rKSnp2taVk+e7du3S3x8vERERIi3t7f4+PhIRESExMfHy44dO+ySRUR7HpUPaEePHpUWLVqUmjxnzpyRhQsXyvfffy9ZWVlmy127dk3GjBkjIqWnaz/++KO8++67sm7dOhERSUlJkbZt20qLFi1k3rx5IlL6u+bh4WG2/6UhT/5uHT16VF577TV58sknpXfv3mbPYpeGrq1evVp+//13ERHJycmRcePGSUhIiBiNRrnvvvtk4sSJcvfu3VIxNiLi0GMC1Xm0Hg/YI4+9/q5pOSawx9isXLnS6kRzyZIl0rx5c91/1xx1TGCvPIXJPR6wFSdmitjjMxW00lpkg8Eg7u7u4u/vL/3797d4aldEXZb8z1JpoeeX8vXXX5eQkBAZNmyY1K5dW1599VWpWrWqLFq0SJYsWSLVq1eXQYMGlYqxWbNmjfj4+EhcXJx06dJFfH19ZeDAgfLGG29I9erVpVq1anL27FkRKR1dS05OFg8PD2nbtq3MmDFDlixZIosXL5YZM2ZIu3btxNPTU7755ptSkUWL1NRUu322ilZa82zfvl3Kly8vfn5+4uPjIzVq1JB9+/aZlsvIyLDb597ooTXPwoULxd3dXR566CEpW7aszJ8/X8qXLy99+vSR3r17i6enpyxfvlxJlvxnrVRnERF59tlnLX4ZjUZp1aqV6fvSMDZGo1HOnTsnIv+8nMvX11fq1asnffv2lUaNGomnp6ds27ZNRIrfNVvGRW+eOnXqyC+//CIiIhMmTJDAwECZPn26rF69WmbOnCnBwcEyadKkUjE2IlKixwS2HA+IaM+j9XhAVR5bqT4mKA1ZROSeOibIPR6wFa/KqIjWz4cYNWoUOnXqhI4dO8LHx0fTuot6E2Lz5s0RGhqKBQsWwN3d/Hou2dnZ6NGjB06fPo1NmzZh3759+PHHHzFv3jzs378fMTEx6Nu3L7p27YqAgABdWaKjo5GVlYXRo0fjt99+Q/v27TFixAj8+9//xqRJkyAieOaZZ/Cf//zH7E2x1vJozbJx40ZUrVoV8+bNM10Bp0aNGli5ciWeeeYZAMDatWvRt29ffPvtt7o+u2PatGnYvHkzzp49Czc3N0RGRiIuLg4jRoyw+OZeFXkyMzPx8ssvo3///qZ9Hzx4MA4ePIg7d+6gXbt2CAsLw/z583WNz44dOzBz5kxs2bLFbB8bN26M119/HQ0bNrRL1/766y9069YNo0aNKvD/BQCTJ0/GF198gWXLlin73Jtjx46hb9++WL9+vdKx2bhxI2bPnm1126dPn8bUqVORmpqqOc/Zs2exbt06VKhQAa1atYKnp6dpfdevX8e0adPw7rvvmm1HRR4PDw9UrVoVn376Ka5fv45Ro0bhyy+/xNq1a1G/fn2zK1Tp6dratWuxefNmNGvWDP/617+wadMmTJw4EVlZWejevTt69eqlOYuePJmZmejVqxcGDx6MdevW4emnn8b48ePx+uuvAwCmT5+OlStXIikpqdhd8/T0xJ49e1C7du0C96nqmtFoRNOmTREZGWm23BdffIEOHTqgfPnyAP65EpyWPDVq1DDr1rFjx/DBBx/gyJEjqFKlCl555RU0aNDALnk2bdqEjIwMVKpUCU8//TS8vb3x1VdfwWAwAAASEhJw9uxZrF69WnPXTp48ifvuuw9169bF3bt3MWHCBCQlJSEjIwNVqlTBwIED8cYbb5i2UVQWPXm2bduGw4cPIywsDHXr1sU777yDTp06mZb9/vvvMWTIEKxcuVJz155++mmlxwR6u6bymKB69eq6jwdU5UlLS9N0PJCenq7787z0HBOo/Lum5ZhA69+B3L9rKo8J9HQtJiamRI8JLB0PqMrz3HPPWd127vGAzVd5tHlKRwVo+SRwrc9QiWh/E+Lvv/8ulStXloCAAImLi5OXX35Z+vfvL3FxcVKhQgWpUqWK7Nu3TwwGg+nZSxGRbdu2Sb9+/cTf3198fHykS5cuppcCaf1Ucz3PUmnJozWLyD/Pbpw4ccK0Lx4eHmbP/B8/flx8fX0159Fz1kp1Hm9vb7OXp969e1c8PDzkzJkzIiKyadMmqVixoq6uaX2Gyh5d8/LykkOHDhXa7T/++EO8vLx0da0oeZ+lUt01g8EgISEhEhERYfEr9+VMWvPoOWulOk9AQECBsZk8ebIEBATI9u3bC2xbSx6tZ620ZtGTp0yZMpKWlmb6OQ8PD9mzZ49Z1wIDA3V1TetZK3t0benSpRIaGmp6CWYud3d32b9/v9ltWvLoOWulOk/ex5zQ0FDZvHmz2f6npqZKcHCwrjxaz1rZo2tVqlSRX3/9VUREgoODZdeuXWZ5Dh8+bHpGXWvXVB8T6P27pvKYQM/xgOo8eo4HtObRc0ygumt6jgm0dk31MYGerpX0MUH+s1aq/65pPR6wBSdmJcxgMMj+/ftlxowZUrduXTEajfLAAw/IBx98IBcvXjQtp/dNiFonhXn/COe6ceOGzJ8/Xx5//HHdZQoLC5O1a9eKiMixY8fEaDSafrFF/nnvR3h4uK48Wn8pa9asKcuWLRORfw50PT09zQ5mli1bJjVq1NCcpV69epKUlGS277Vq1RIRkdu3b0vLli2lZ8+eIqJvfLTkqVatmqxZs8a07SNHjoibm5vpPRppaWm6X1cdHR0tEydOLPT+SZMmSZ06dezStTp16sjkyZML3fbkyZOldu3auvLMmjXL6tfIkSN1v4FXa9ciIiLkyy+/LHTf8l91qyitWrWShIQEycnJkStXrsiAAQMkMDDQdKCXd3KkOk9AQIDZxCXXlClTpHz58rJy5Urdfwfq1asns2bNEhGRn376SXx8fGT69Omm+6dNmyaPPfaYXbpWvnx5+eOPP0w/U7ZsWTl27Jjp+7S0NLMDMi0MBoM0a9ZMevbsafZlNBolLi7O9L09uiYikp6eLo8//rg899xzpscFSxMzrVly/+63b99eOnbsaPaysl69eknbtm1FRH3XjEajnD9/XkREwsPDTe/PypWWlibe3t668nh7e8uff/4pIiIxMTEFfi+/++47qV69ul26NmDAAGnfvr1kZ2dLv379pE+fPmb/l4MHD5bY2FhdeexxTKBnUqjymEDr8YA98qg+HhDRfkxgj66VlmMCrV1TfUyg9XhARH3XVB8P5MeJWQnT+gyVygsTFLZtSw4fPqxrnVqfpbJHnhkzZoi3t7e0atVKAgIC5IMPPpDKlSvLyJEjZdSoUeLv7y9jx47VvD49z1CpzjNmzBgJDQ2VpKQkmTdvnsTExJiekc9dX506dTSvT0T7M1T2GJuvv/5a3N3d5cknn5SZM2fK0qVLZdmyZTJz5kx56qmnxMPDQ1asWKFrnVqfpbJHnueff15GjhxZ6P15r7qlhZ6zVqrzNGnSxOxgI6/3339fvLy8dD+oaD1rZY+xadiwodnBX2ZmptnB8tq1ayUqKkrXOrWetbJHnlw5OTny7rvvSlhYmKxZs0Y8PDyKPTEr6qyV6jwGg0HKly8vAQEB4uHhIYsXLza7/4cffpCIiAjN6xMRzWet7DE2ly9floYNG0r16tWle/fu4u3tLeHh4fLEE09IZGSk+Pn5ydatW3Wt05WOCfSctVKdR/XxgIj2YwJ7jA2PCazTc9ZKdR7VxwP5cWKm0Jw5c6Rly5bywgsvmE7/57pw4YJERkZqfobKHlemad68uVy6dElZFhHtz1LZ68qIixYtkoEDB5r2YcOGDdKkSRNp0KCBJCYmSk5OjuY8ep6hUp3nzp07MnLkSAkJCZHAwECJj4+XCxcumO7ftm2bpKSkmL7XkkfrM1T2GpstW7ZI586dpWrVquLp6Smenp5StWpV6dy5s2zZskVXFhHtz1LZI8/+/ftNV42y5Pbt26arcmnJo+esleo8n376qXTr1q3Q+ydPnmx2sKwlj9azVva64lbe3438Jk6cKG+//bbmLLm0nLWy1+9OXps3b5bIyEgxGo0FJmZa8ug5a6U6z4IFC8y+8k9axowZI6+//rquPFrPWtlrbG7fvi1JSUny5JNPSq1atSQqKkqaNWsmo0ePlpMnT+rKIqL9rFVpOCbQc9bKHnm0Hg9ozaP1mMAeWfQcE2jtmisdE+g5a6U6j57jAVtwYqbIrFmzxNfXV1599VXp1q2beHl5yYQJE0z35z4DrvUZKr1XptFzwKEqi4j2Z6n05FGZRU8ePc9QlYY8Wp+hKi1d0/osVWkYGz1nrUpDHq1nrUpL13IVddaqpMbm6tWrkpqaanb5eT2POVrPWpWGrmk9a1VaumaPYwJHjY2es1alIY/WY4LS0jV7HBM4amz0nLVyZB5bcGKmSJ06dcwe8LZs2SKVKlWSd955R0T+f5m0PkOl502VthxwZGdnS0ZGhpw7d06ys7NtypJLy7NUWvPYkkVVHj3PUNkzj7UsesdHyzNU9u6aNXqyaH2Wyt5dU5FHz1mr0pBH61mr0tK1/Ao7a1UaxkbPWavSkEdE21mr0tI11ccEjh4brWetSkMerccEpaVruferOiZw5NjoOWvlyDy24MRMER8fH7PXIov8c3o0ODhYRo0aZdOA6nlTpdZfzJUrV0rjxo3F09NTjEajGI1G8fT0lMaNG5teg2uPLFrz6P0j40p5tGSxVx57dM2aAwcOSGRkZKkZm3spT24WEXYtL0tnrbTmYdesZxFh11TlYdesZxFh11Tl0ZslNTVVxo0bJ3PmzDGb4Ir88yqLXr16lZo8WrLYihMzRcLCwmTTpk0Fbt+/f78EBwdL9+7ddZ8Z0Uprkf/zn/+Ip6en9O/fX5KTk2XLli3yyy+/SHJysvTv31+8vLzkk08+sSmLqjx6fintmcdZx0bEtq6pouqPZu6lbF0hi4hr5cl7mWFXyuMKWURcKw+7ph67Zhm7pp6eLD/88IN4enpKdHS0VK1aVYKCgmT9+vWmn8tdtjTk0ZrFVu5Ff9IZafH4449jxYoVaNKkidntderUwbp169CiRQvTbcnJyZg6dSp+++03ZGdnAwDc3d3RsGFDjBgxAnFxcbq2HRQUhJMnTyIiIsJ0W3R0NNavX49//etfOH36NABgypQp+Oijj9C7d+8C64iLi0OjRo0wfvx4XVlU59GaxV55nH1s+vbtq3t8CnPw4EE89dRTSEtLU55n6NChVtdz4cIFAPp+b4qiN4+erpV0HmcYG8C18rBrarIA7Fph2DW1WQB2rTC2js2ePXvw7bffokKFCujUqROCgoJM9125cgVDhgzBvHnzlGYBgMTERAwfPhzjx4+HiGDq1Kno0KEDli9fjrZt25qW05NHZRY9ebRmsZnNUzoys2fPngKXVs5r3759kpiYqOvMiNY3IXbp0kVee+21QrdbsWJFMRqN4u3tbXbltPwOHjwo3t7emrOIaD9rpTWP1iwiojyPniyq82jNIqK9a0XJ+wyi6q4ZjUZ56KGHpHnz5ha/GjZsKEajUVkWW/Lo6VpJ58n/4Zgq82jNIsKuqcrDrrFrtmSxJQ+7xq4VlkXPmR7VXfPz85OjR4+aLbNkyRIpU6aM/O9//zNtW2sevWetVObRmsVWnJiVsGrVqslnn31W6P1z586V+++/X9ebELUWuUGDBjJ06NBClxs6dKg0aNDAoXn0/JFRnUdrFhHtb+B15Ni8/vrrVr+6desmRqPRLl2rWbOmLFy4sNDlbPkARtV59HRNdR6tWUTUd600jI0Iu6YqD7vGrlnKIsKuqcpTWroWGxsro0ePFpF/PpPt/fffl7Jly8rq1avN9tMeXatYsaL89ttvBZZZtmyZ+Pr6SlJSkq48WrOIqO+a6iz5cWKmQN4PVCyKt7e31auX5Z4ZUfkG3lwbN26UMmXKSJ06dWTIkCEyceJEmTRpkgwZMkSio6OlbNmysnz5cl3r9PLy0nSmpzTk0To2ImrfYK01y6ZNm3R1zWg0St26dYt8xs0eYxMfHy9Dhgwp9P7U1FTRe8Je6zOIpSGP1rERUd81LVkMBgO7xq6xazbkYdfYNWccGxGRcuXKaTrTY488TzzxhEyZMsXifUuWLBEPDw9dH8rs5+cnmzdvLjKLiPquacnCiZmDVapUSfr06SPbtm0rdJnLly/LJ598It7e3tKiRYtCl8s9M6L1TYh6/siIiPz6668ycuRIadq0qURFRUlUVJQ0bdpU3njjDTl+/LiuLNHR0RIWFqbpTI+WPHo/Kf3UqVNy/PhxZXm0jo2ItjeJ6s1T1NiI6Ouap6endO/evdDl8n4gs+qunT17tsBlufPT27VKlSppegbRHmOza9euIj8w0h5jI6K+a1rGRoRdY9f+wa7py8OusWuWsjhD18qWLavpTI89uvbpp59anWjmTmi05nFzc5Phw4cXmUVEfddWrlwpffr0sZqlefPmmteXHy/+ocDBgwcxYcIEtG3bFh4eHmjYsCFCQkLg7e2NS5cu4cCBA9i/fz8aNmyIMWPGYOzYsYiOjkbr1q0RHBwMg8GAjIwMrF27FidOnMCqVavQtWtXTW9CbNSoETp06IC+ffvi4Ycftrh/mZmZ+OqrrzBr1iy8/PLLmDx5spIsU6ZMga+vL5566imsWbOm2HlEBH379tWVZdCgQcryaB0bQNubRG3JYy2L3jyNGzdGYGBgoesyGAwQEc1veLWla4888oiSLFOmTMGiRYuwc+dOdOvWrdh5bO2aNfYYG8B+XbM2NvbKw66xayWVh11j10oqT2np2owZM7BhwwY0aNDAbD2dO3fG3bt30aNHDwD2G5sZM2YUmqVLly5o06aN5jwPPPAAgoODC6wnfxZ75rGWpUuXLoXeXxSD5P6WULHdunULq1atws8//4z09HTcvHkTQUFBqF+/Ptq0aYOYmBgAQHp6OpKSkrB161ZkZGQAACpXrozY2Fj0798fERERiI+PR6VKlTBz5swC29m/fz9atGiBv//+GxcuXMCECRMwb968Iov89ttvo127dgCAEydOICMjAwaDAcHBwQgPD7cpi8o8f/31F4YOHao7i8o8WrIAsGueorJozZORkYGsrCyLP59XaemayjyO7prWLPbOw66xayWVh11j10oqD7tmuWvJycnYtGlToROkpUuX4pNPPkGVKlWcvmtas2zYsMHhXdPN5nNtZFd6rxp08+ZNWbFihQwZMkTi4uKkTZs20rVrV5k6dars3bvXtNz06dMlNDRUjEajGAwGMRgMYjQaJTQ0VGbMmOEUebRmcbU8pSGLq+Vh15w3i6vlYdecN4ur5WHXnDeLq+Vh19Rn4cTMgdLT02Xr1q2ybdu2Il/nrcLYsWPFz89PJk2aJLt375YzZ87I6dOnZffu3TJp0iTx9/eXcePG2bx+V8rjSllEmKe42DXtmKd42DXtmKd42DXtmKd42DXtODFzgKJm2nov6HHq1ClNy4WGhkpycnKh969cuVJCQkJ0bVvEtfJoeRbEHnk4Ntq4Uh52zTp2zTJ2zbXGRsS18rBr1rFrlrFr/x8nZiVMy0y7TJkyuq60M3v2bE3b9vHxkQMHDhR6/759+8THx+eezaP1WRC9V0LSkodjc2/lYdfUZGEeNVnYNXZNRR52TU0W5lGTpTR1LS9OzEqYlpl25cqVZdiwYRIQECCVKlWSJ598Uvr06SMDBw6Url27Sv369cXT01MaN24sq1at0rztZs2aSdeuXeXOnTsF7rtz547Ex8dLs2bN7tk8Wp8F+fvvv5Xn4djcW3nYNecdG1fLw64579i4Wh52zXnHxtXyuFrX8uJVGUuYr68vdu7cidq1a1u8f//+/WjUqBFu3Lih68qIWuzduxetW7dGVlYWmjVrZnY5+E2bNsHLywtr165FdHT0PZlHTxZA35UrSzqL3jzOPjauloddc96xcbU87Jrzjo2r5WHXnHdsXC2Pq3UtL07MSljz5s0RGhqKBQsWwN3d/GPksrOz0aNHD5w+fRobN260y/avXr2KRYsWWbwcfHx8PPz8/HStz5XyuFIWgHlUY9cKxzxqsWuFYx612LXCMY9a7Jo2nJiVMHvPtEuaK+VxpSwA8zgzV8oCMI8zc6UsAPM4M1fKAjCPM3OlLPlxYuYA9pxpO4Ir5XGlLADzODNXygIwjzNzpSwA8zgzV8oCMI8zc6UsZmx+dxqVSnPmzJGWLVvKCy+8IOvWrTO778KFCxIZGemgPbONK+VxpSwizOPMXCmLCPM4M1fKIsI8zsyVsogwjzOzZxajoyeGVHJmz56NESNGoFatWvDy8sKTTz6JiRMnmu7PycnBiRMnHLiH+rhSHlfKAjCPM3OlLADzODNXygIwjzNzpSwA8zgzu2cp7qyR9HPUswZ16tSRxYsXm77fsmWLVKpUSd555x0REcnIyBCj0ah7va6Ux5WyiDCPKuxa0ZhHDXataMyjBrtWNOZRg13TjhOzEjZr1izx9fWVV199Vbp16yZeXl4yYcIE0/3FHVBrfHx85Pjx42a37du3T4KDg2XUqFE2bduV8rhSFhHmUYlds4551GHXrGMeddg165hHHXZNO07MSpi9Z9rWhIWFyaZNmwrcvn//fgkODpbu3bvr3rYr5XGlLCLMoxK7Zh3zqMOuWcc86rBr1jGPOuyadpyYlTB7z7St6dKli7z22msW79u3b59UrFhR97ZdKY8rZRFhHpXYNeuYRx12zTrmUYdds4551GHXtOPErITZe6ZtzZ49e2TevHmF3r9v3z5JTEzUtU5XyuNKWUSYRyV2zTrmUYdds4551GHXrGMeddg17TgxK2H2nmmXNFfK40pZRJjHmblSFhHmcWaulEWEeZyZK2URYR5n5kpZ8uPErITZe6ZdmBMnTuha/tSpU5qWc6U8rpRFhHlUYdeKxjxqsGtFYx412LWiMY8a7Jo+nJjdIypVqiR9+vSRbdu2FbrM5cuX5ZNPPpHo6GiZPXt2Ce6dfq6Ux5WyiDCPM+dxpSwizOPMeVwpiwjzOHMeV8oiwjzOnKcksrgr+Kw10ujPP/9E1apVNS9/+vRp3HfffUq2ffDgQUyYMAFt27aFh4cHGjZsiJCQEHh7e+PSpUs4cOAA9u/fj4YNG2LKlClo165dket0pTyulAVgHmfO40pZAOZx5jyulAVgHmfO40pZAOZx5jyulMUSg4iIkr2lIgUHB6NDhw7o27cvHn74YYvLZGZm4quvvsKsWbPw8ssvY9CgQUr34datW1i1ahV+/vlnpKen4+bNmwgKCkL9+vXRpk0bxMTEaF6XK+VxpSwA8zhzHlfKAjCPM+dxpSwA8zhzHlfKAjCPM+dxpSyWcGJWgi5evIgJEyZg3rx5Rc603377bZtm2iXJlfK4UhaAeZw5jytlAZjHmfO4UhaAeZw5jytlAZjHmfO4UhZLODFzAHvOtB3BlfK4UhaAeZyZK2UBmMeZuVIWgHmcmStlAZjHmblSlrw4MSMiIiIiInIwo6N3gIiIiIiI6F7HiRkREREREZGDcWJGRERERETkYJyYERERERERORgnZkRERERERA7GiRkREZU6IoJWrVqhevXq+P3339GiRQukp6c7ereUaN68OYYMGaJp2Y0bN8JgMODy5cua15+YmIh69erZtG9ERGQ/nJgREZHT2bJlC9zc3NC2bVuL96enp8Pd3R1z5sxBt27dEBgYiIiICKX7kJ6eDoPBAHd3d5w+fdrsvrNnz8Ld3R0Gg0H5hHDlypUYN26cpmUbN26Ms2fPwt/fX/P6hw8fjnXr1tm6e0REZCf8HDMiInI6ffr0QdmyZfHZZ5/hwIEDqFq1aonvQ3p6OiIjIxEWFoZXXnkFb775pum+SZMmISkpCX/++SeOHz+ufFJIRET3Hp4xIyIip3L9+nV89dVXeOWVV9C+fXssWLDA7P7cl++tW7cODRs2hK+vLxo3boxDhw6ZLZeUlIRq1arB09MTNWvWxMKFC23anx49emD+/Plmty1YsAA9evQocFv58uXNbvvmm29gMBhM3+e+jHDhwoWIiIiAv78/XnzxRVy9etW0TP6XMmZlZWHkyJEICwuDl5cXatSogblz55r9X+S+lDF3H7755htERUXB29sbTzzxBE6ePFlgH3LdvXsXY8eORWhoKLy8vFCvXj2sWbPGlv8qIiIqBk7MiIjIqXz55ZeoWbMmatasiW7dumH+/Pmw9OKOt956C9OmTcNvv/0Gd3d3JCQkmO5LTk7Ga6+9hmHDhmHfvn14+eWX0atXL2zYsEH3/nTo0AGXLl3C5s2bAQCbN2/GxYsX8fTTT9uU79ixY/jmm2/w3Xff4bvvvkNKSgomTZpU6PIvvfQSli1bhtmzZ+PgwYP4z3/+g7Jlyxa6/I0bNzB+/Hh8/vnn+OWXX3DlyhW8+OKLhS4/a9YsTJs2DVOnTsXvv/+ONm3aoEOHDjhy5IhN+YiIyDacmBERkVOZO3cuunXrBgBo27Ytrl27ZvE9UePHj0ezZs1Qp04djBo1Clu2bMGtW7cAAFOnTkXPnj0xYMAAREVFYejQoXjuuecwdepU3fvj4eGBbt26Yd68eQCAefPmoVu3bvDw8LAp3927d7FgwQLExMSgSZMm6N69e6Hv+Tp8+DC++uorzJs3D88++yzuv/9+tGzZEp07dy50/Xfu3MGHH36I2NhYNGjQAJ9//jm2bNmC7du3W1x+6tSpeOONN/Diiy+iZs2amDx5MurVq4eZM2falI+IiGzDiRkRETmNQ4cOYfv27aYzPO7u7ujcubNpUpTXAw88YPp3lSpVAADnz58HABw8eBCPPfaY2fKPPfYYDh48aNN+9e7dG8uXL0dGRgaWL19udnZOr4iICJQrV870fZUqVUz7nV9qairc3NzQrFkzzet3d3dHw4YNTd/XqlUL5cuXt5j9ypUrOHPmjNL/KyIiso27o3eAiIgo19y5c5GdnY377rvPdJuIwMPDA5cuXUJAQIDp9rxnrHLfx3X37t0Ct+VdT/7btIqJiUGtWrXQpUsX1K5dGzExMUhNTTVbxmg0FnjJ5Z07dwqsK/+ZNoPBYLbfefn4+Ni0v5ZyWsuu8v+KiIhswzNmRETkFLKzs/HFF19g2rRpSE1NNX3t2bMH4eHhWLx4seZ11a5d2/SesFxbtmxB7dq1bd6/hIQEbNy4sdCzZRUrVsTVq1dx/fp10235J2961a1bF3fv3kVKSormn8nOzsZvv/1m+v7QoUO4fPkyatWqVWBZPz8/hISEKP+/IiIi/XjGjIiInMJ3332HS5cuoXfv3gU+l6tjx46YO3cuBg4cqGldI0aMQKdOnfDQQw+hZcuW+Pbbb7Fy5Ur89NNPNu9f37598cILLxS48mKuRx55BL6+vhg9ejQGDRqE7du3F7iipF4RERHo0aMHEhISMHv2bDz44IM4ceIEzp8/j06dOln8GQ8PDwwaNAizZ8+Gh4cHBg4ciEcffRQPP/ywxeVHjBiB9957D9WqVUO9evUwf/58pKam6poIExFR8fGMGREROYW5c+eiVatWFj8s+fnnn0dqaip27dqlaV1xcXGYNWsWpkyZgujoaHz88ceYP38+mjdvblqmZ8+eZt8Xxd3dHUFBQXB3t/ycZoUKFbBo0SKsWrUKdevWxdKlS5GYmKh5/YVJSkpCx44dMWDAANSqVQt9+/Y1OyuXn6+vL9544w3Ex8cjNjYWPj4+WLZsWaHLDx48GMOGDcOwYcNQt25drFmzBv/73/9Qo0aNYu87ERFpxw+YJiKie1Lz5s3RvHlzJZMnZ7FgwQIMGTLE9LlmRERUevCljEREdM+5evUqjh07hu+++87Ru0JERASAEzMiIroHlStXDidPnnT0bhAREZnwpYxEREREREQOxot/EBERERERORgnZkRERERERA7GiRkREREREZGDcWJGRERERETkYJyYERERERERORgnZkRERERERA7GiRkREREREZGDcWJGRERERETkYP8Pv/DoEVOn6fYAAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "

Tabla de pivote:

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Productoarroz-secano-manualbatataberenjenacocofrutales-varioshortalizas-variasmaiz-blanco-tradicionalmangopepino-cohombrotomateyuca
AñoMunicipio
2007.0CHIMA23.00NaNNaNNaNNaNNaNNaNNaNNaNNaN2850.00
COTORRA294.00NaN28.00240.00NaNNaNNaN80.0NaN480.0708.00
LORICA622.00NaNNaNNaNNaNNaNNaNNaNNaNNaN10260.00
MOMIL18.00NaNNaNNaNNaNNaNNaNNaNNaNNaN3950.00
PURISIMA120.00NaNNaNNaNNaNNaNNaNNaNNaNNaN4100.00
2008.0CHIMA36.00NaNNaNNaNNaNNaNNaNNaNNaNNaN2430.00
COTORRA301.00NaNNaNNaNNaNNaNNaNNaNNaN360.060.00
LORICA640.00NaNNaNNaNNaNNaNNaNNaNNaNNaN13200.00
MOMIL22.80NaNNaNNaNNaNNaNNaNNaNNaNNaN2570.00
PURISIMA24.00NaNNaNNaNNaNNaNNaNNaNNaNNaN700.00
2009.0CHIMA80.00NaNNaNNaNNaNNaNNaNNaNNaNNaN510.00
COTORRA480.00NaN0.00NaNNaNNaNNaNNaNNaN0.0480.00
LORICA588.50NaNNaNNaNNaNNaNNaNNaNNaNNaN12000.00
MOMIL57.10NaNNaN0.00NaNNaNNaNNaNNaNNaN2429.00
PURISIMA24.00NaNNaNNaNNaNNaNNaNNaNNaNNaN700.00
2010.0CHIMA119.60NaNNaNNaNNaNNaNNaNNaNNaNNaN1125.00
COTORRA200.00NaN12.00NaNNaNNaNNaNNaNNaN10.0492.00
LORICA848.40NaNNaNNaNNaNNaNNaNNaNNaNNaN12320.00
MOMIL52.50NaNNaN0.00NaNNaNNaNNaNNaNNaN518.00
PURISIMA60.00NaNNaNNaNNaNNaNNaNNaNNaNNaN550.00
2011.0CHIMA125.50NaNNaNNaNNaNNaNNaNNaNNaNNaN783.00
COTORRA66.00NaNNaNNaNNaNNaNNaNNaNNaN0.0600.00
LORICA1734.40NaNNaNNaNNaNNaNNaNNaNNaNNaN17400.00
MOMIL28.00NaNNaN70.00NaNNaNNaNNaNNaNNaN966.00
PURISIMA12.00NaNNaNNaNNaNNaNNaNNaNNaNNaN150.00
2012.0CHIMA158.62NaNNaNNaNNaNNaNNaNNaNNaNNaN1741.60
COTORRA96.00NaNNaNNaNNaNNaNNaNNaNNaN21.0600.00
LORICA1608.40NaNNaNNaNNaNNaNNaNNaNNaNNaN12320.00
MOMIL11.20NaNNaN122.50NaN11.0NaNNaNNaNNaN1090.00
PURISIMA46.00NaNNaNNaNNaNNaNNaNNaNNaNNaN500.00
2013.0CHIMA268.07NaNNaNNaNNaNNaNNaNNaNNaNNaN1893.75
COTORRA1410.00NaNNaNNaNNaN90.0NaNNaNNaN30.0600.00
LORICA1170.40NaNNaNNaNNaNNaNNaN1290.0NaNNaN13200.00
MOMIL125.90NaNNaN120.00NaN10.0NaNNaNNaNNaN3121.63
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaNNaN3230.00
2014.0CHIMA208.80NaNNaNNaNNaNNaNNaNNaNNaNNaN1190.00
COTORRA2190.00NaNNaNNaNNaN90.0NaNNaNNaN57.0648.00
LORICA900.00NaNNaNNaNNaNNaNNaN1290.0NaNNaN12000.00
MOMIL413.00NaNNaN130.00NaNNaNNaNNaNNaNNaN3121.63
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1860.00
2015.0CHIMA109.20NaNNaNNaNNaNNaNNaNNaNNaNNaN480.00
COTORRA1550.00NaNNaNNaNNaN35.0NaNNaNNaN42.51120.00
LORICA900.00NaNNaNNaNNaNNaNNaN1225.50.00NaN13200.00
MOMIL231.88NaNNaN130.00NaN2.4NaNNaNNaNNaN1316.88
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1800.00
2016.0CHIMA114.00NaNNaNNaNNaNNaNNaNNaNNaNNaN660.00
COTORRANaNNaNNaNNaNNaNNaNNaNNaNNaN20.0840.00
LORICA700.00NaNNaNNaNNaNNaNNaN1720.0120.00NaN17400.00
MOMIL177.54105.0NaN40.00NaNNaNNaN0.00.75NaN3600.00
PURISIMA45.00NaNNaNNaNNaNNaNNaNNaNNaNNaN1770.00
2017.0CHIMA189.00NaNNaNNaNNaNNaNNaNNaNNaNNaN287.50
COTORRA1013.40NaN576.00NaNNaNNaNNaNNaNNaNNaN612.00
LORICA2400.00NaNNaN400.00NaNNaNNaN3440.0150.00NaN10350.00
MOMIL440.00122.5NaN60.00NaNNaNNaN0.0NaNNaN890.00
PURISIMA110.00NaNNaNNaNNaNNaNNaNNaNNaNNaN1850.00
2018.0CHIMA205.78NaNNaNNaNNaNNaNNaNNaNNaNNaN920.00
COTORRA1064.28NaN593.54NaNNaNNaNNaNNaNNaNNaN480.00
LORICA300.00NaNNaN400.00NaNNaNNaN3440.0NaNNaN13500.00
MOMILNaN262.5NaN60.00NaNNaNNaN0.0NaNNaN1460.00
PURISIMA115.68NaNNaNNaNNaNNaNNaNNaNNaNNaN1918.00
2019.0CHIMANaNNaNNaNNaN10.0NaNNaNNaNNaNNaN462.00
COTORRANaNNaNNaN120.00NaNNaNNaNNaNNaNNaN665.00
LORICANaNNaNNaN450.00NaNNaNNaN3200.071.50NaN13430.00
MOMILNaN7.0NaN12.00NaNNaNNaN175.0NaNNaN4353.60
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaNNaN2180.00
2020.0CHIMANaNNaNNaNNaN10.0NaNNaNNaNNaNNaN186.00
COTORRANaNNaNNaN120.00NaNNaNNaNNaNNaNNaN660.00
LORICANaNNaNNaN451.08NaNNaNNaN3600.075.00NaN13260.00
MOMILNaNNaNNaN14.00NaNNaNNaN93.0NaNNaN4692.00
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaNNaN3920.00
2021.0CHIMANaNNaNNaNNaN10.0NaN461.90NaNNaNNaN540.00
COTORRANaNNaNNaN70.00NaNNaNNaNNaNNaNNaN720.00
LORICANaNNaNNaN490.00NaNNaN1281.271840.090.00NaN10000.00
MOMILNaNNaNNaN30.10NaNNaNNaN201.5NaNNaN4381.00
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaNNaN2347.50
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "

Tabla de pivote:

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Productoarroz-secano-manualbatataberenjenacocofrutales-varioshortalizas-variaslimonmaiz-blanco-tradicionalmaiz-tradicionalmangopepino-cohombrotomateyuca
AñoMunicipio
2007.0CHIMA23.00NaNNaNNaNNaNNaNNaNNaN937.50NaNNaNNaN2850.00
COTORRA294.00NaN28.00240.00NaNNaNNaNNaNNaN80.0NaN480.0708.00
LORICA622.00NaNNaNNaNNaNNaNNaNNaN1444.00NaNNaNNaN10260.00
MOMIL18.00NaNNaNNaNNaNNaNNaNNaN390.00NaNNaNNaN3950.00
PURISIMA120.00NaNNaNNaNNaNNaNNaNNaN773.00NaNNaNNaN4100.00
2008.0CHIMA36.00NaNNaNNaNNaNNaNNaNNaN602.50NaNNaNNaN2430.00
COTORRA301.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN360.060.00
LORICA640.00NaNNaNNaNNaNNaNNaNNaN1650.00NaNNaNNaN13200.00
MOMIL22.80NaNNaNNaNNaNNaNNaNNaN623.60NaNNaNNaN2570.00
PURISIMA24.00NaNNaNNaNNaNNaNNaNNaN1462.00NaNNaNNaN700.00
2009.0CHIMA80.00NaNNaNNaNNaNNaNNaNNaN407.50NaNNaNNaN510.00
COTORRA480.00NaN0.00NaNNaNNaNNaNNaN80.00NaNNaN0.0480.00
LORICA588.50NaNNaNNaNNaNNaNNaNNaN2176.00NaNNaNNaN12000.00
MOMIL57.10NaNNaN0.00NaNNaN0.0NaN196.40NaNNaNNaN2429.00
PURISIMA24.00NaNNaNNaNNaNNaNNaNNaN1040.00NaNNaNNaN700.00
2010.0CHIMA119.60NaNNaNNaNNaNNaNNaNNaN105.00NaNNaNNaN1125.00
COTORRA200.00NaN12.00NaNNaNNaNNaNNaNNaNNaNNaN10.0492.00
LORICA848.40NaNNaNNaNNaNNaNNaNNaN1681.00NaNNaNNaN12320.00
MOMIL52.50NaNNaN0.00NaNNaN1.0NaN354.00NaNNaNNaN518.00
PURISIMA60.00NaNNaNNaNNaNNaNNaNNaN500.00NaNNaNNaN550.00
2011.0CHIMA125.50NaNNaNNaNNaNNaNNaNNaN343.50NaNNaNNaN783.00
COTORRA66.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.0600.00
LORICA1734.40NaNNaNNaNNaNNaNNaNNaN1806.00NaNNaNNaN17400.00
MOMIL28.00NaNNaN70.00NaNNaN2.0NaN732.00NaNNaNNaN966.00
PURISIMA12.00NaNNaNNaNNaNNaNNaNNaN435.00NaNNaNNaN150.00
2012.0CHIMA158.62NaNNaNNaNNaNNaNNaNNaN514.40NaNNaNNaN1741.60
COTORRA96.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN21.0600.00
LORICA1608.40NaNNaNNaNNaNNaNNaNNaN1604.00NaNNaNNaN12320.00
MOMIL11.20NaNNaN122.50NaN11.010.0NaN341.76NaNNaNNaN1090.00
PURISIMA46.00NaNNaNNaNNaNNaNNaNNaN550.00NaNNaNNaN500.00
2013.0CHIMA268.07NaNNaNNaNNaNNaNNaNNaN1273.20NaNNaNNaN1893.75
COTORRA1410.00NaNNaNNaNNaN90.0NaNNaNNaNNaNNaN30.0600.00
LORICA1170.40NaNNaNNaNNaNNaNNaNNaN2076.801290.0NaNNaN13200.00
MOMIL125.90NaNNaN120.00NaN10.010.0NaN436.72NaNNaNNaN3121.63
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN640.00NaNNaNNaN3230.00
2014.0CHIMA208.80NaNNaNNaNNaNNaNNaNNaN564.40NaNNaNNaN1190.00
COTORRA2190.00NaNNaNNaNNaN90.0NaNNaNNaNNaNNaN57.0648.00
LORICA900.00NaNNaNNaNNaNNaNNaNNaN4495.001290.0NaNNaN12000.00
MOMIL413.00NaNNaN130.00NaNNaN7.0NaN292.03NaNNaNNaN3121.63
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN630.35NaNNaNNaN1860.00
2015.0CHIMA109.20NaNNaNNaNNaNNaNNaNNaN530.06NaNNaNNaN480.00
COTORRA1550.00NaNNaNNaNNaN35.0NaNNaNNaNNaNNaN42.51120.00
LORICA900.00NaNNaNNaNNaNNaNNaNNaN3475.001225.50.00NaN13200.00
MOMIL231.88NaNNaN130.00NaN2.46.0NaN154.00NaNNaNNaN1316.88
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN175.00NaNNaNNaN1800.00
2016.0CHIMA114.00NaNNaNNaNNaNNaNNaNNaN1272.40NaNNaNNaN660.00
COTORRANaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN20.0840.00
LORICA700.00NaNNaNNaNNaNNaNNaNNaN3188.901720.0120.00NaN17400.00
MOMIL177.54105.0NaN40.00NaNNaN3.0NaN498.450.00.75NaN3600.00
PURISIMA45.00NaNNaNNaNNaNNaNNaNNaN161.00NaNNaNNaN1770.00
2017.0CHIMA189.00NaNNaNNaNNaNNaNNaNNaN1147.03NaNNaNNaN287.50
COTORRA1013.40NaN576.00NaNNaNNaNNaNNaNNaNNaNNaNNaN612.00
LORICA2400.00NaNNaN400.00NaNNaNNaNNaN1894.003440.0150.00NaN10350.00
MOMIL440.00122.5NaN60.00NaNNaNNaNNaN110.000.0NaNNaN890.00
PURISIMA110.00NaNNaNNaNNaNNaNNaNNaN272.50NaNNaNNaN1850.00
2018.0CHIMA205.78NaNNaNNaNNaNNaNNaNNaN934.32NaNNaNNaN920.00
COTORRA1064.28NaN593.54NaNNaNNaNNaNNaNNaNNaNNaNNaN480.00
LORICA300.00NaNNaN400.00NaNNaNNaNNaN4637.503440.0NaNNaN13500.00
MOMILNaN262.5NaN60.00NaNNaNNaNNaN753.000.0NaNNaN1460.00
PURISIMA115.68NaNNaNNaNNaNNaNNaNNaN738.00NaNNaNNaN1918.00
2019.0CHIMANaNNaNNaNNaN10.0NaNNaNNaN10920.00NaNNaNNaN462.00
COTORRANaNNaNNaN120.00NaNNaNNaNNaN14344.40NaNNaNNaN665.00
LORICANaNNaNNaN450.00NaNNaNNaNNaN11395.763200.071.50NaN13430.00
MOMILNaN7.0NaN12.00NaNNaNNaNNaN207.73175.0NaNNaN4353.60
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN576.00NaNNaNNaN2180.00
2020.0CHIMANaNNaNNaNNaN10.0NaNNaNNaN11160.42NaNNaNNaN186.00
COTORRANaNNaNNaN120.00NaNNaNNaNNaN16065.00NaNNaNNaN660.00
LORICANaNNaNNaN451.08NaNNaNNaNNaN11659.323600.075.00NaN13260.00
MOMILNaNNaNNaN14.00NaNNaNNaNNaN434.6393.0NaNNaN4692.00
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN662.00NaNNaNNaN3920.00
2021.0CHIMANaNNaNNaNNaN10.0NaNNaN461.90936.50NaNNaNNaN540.00
COTORRANaNNaNNaN70.00NaNNaNNaNNaNNaNNaNNaNNaN720.00
LORICANaNNaNNaN490.00NaNNaNNaN1281.273132.121840.090.00NaN10000.00
MOMILNaNNaNNaN30.10NaNNaNNaNNaN421.58201.5NaNNaN4381.00
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN1035.00NaNNaNNaN2347.50
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "

Tabla de pivote:

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Productoarroz-secano-manualbatataberenjenacocofrutales-varioshortalizas-variaslimonmaiz-blanco-tradicionalmaiz-tradicionalmangopepino-cohombroplantas-aromaticastomateyuca
AñoMunicipio
2007.0CHIMA23.00NaNNaNNaNNaNNaNNaNNaN937.50NaNNaNNaNNaN2850.00
COTORRA294.00NaN28.00240.00NaNNaNNaNNaNNaN80.0NaNNaN480.0708.00
LORICA622.00NaNNaNNaNNaNNaNNaNNaN1444.00NaNNaNNaNNaN10260.00
MOMIL18.00NaNNaNNaNNaNNaNNaNNaN390.00NaNNaNNaNNaN3950.00
PURISIMA120.00NaNNaNNaNNaNNaNNaNNaN773.00NaNNaNNaNNaN4100.00
2008.0CHIMA36.00NaNNaNNaNNaNNaNNaNNaN602.50NaNNaNNaNNaN2430.00
COTORRA301.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN360.060.00
LORICA640.00NaNNaNNaNNaNNaNNaNNaN1650.00NaNNaNNaNNaN13200.00
MOMIL22.80NaNNaNNaNNaNNaNNaNNaN623.60NaNNaNNaNNaN2570.00
PURISIMA24.00NaNNaNNaNNaNNaNNaNNaN1462.00NaNNaNNaNNaN700.00
2009.0CHIMA80.00NaNNaNNaNNaNNaNNaNNaN407.50NaNNaNNaNNaN510.00
COTORRA480.00NaN0.00NaNNaNNaNNaNNaN80.00NaNNaNNaN0.0480.00
LORICA588.50NaNNaNNaNNaNNaNNaNNaN2176.00NaNNaNNaNNaN12000.00
MOMIL57.10NaNNaN0.00NaNNaN0.0NaN196.40NaNNaNNaNNaN2429.00
PURISIMA24.00NaNNaNNaNNaNNaNNaNNaN1040.00NaNNaNNaNNaN700.00
2010.0CHIMA119.60NaNNaNNaNNaNNaNNaNNaN105.00NaNNaNNaNNaN1125.00
COTORRA200.00NaN12.00NaNNaNNaNNaNNaNNaNNaNNaNNaN10.0492.00
LORICA848.40NaNNaNNaNNaNNaNNaNNaN1681.00NaNNaNNaNNaN12320.00
MOMIL52.50NaNNaN0.00NaNNaN1.0NaN354.00NaNNaNNaNNaN518.00
PURISIMA60.00NaNNaNNaNNaNNaNNaNNaN500.00NaNNaNNaNNaN550.00
2011.0CHIMA125.50NaNNaNNaNNaNNaNNaNNaN343.50NaNNaNNaNNaN783.00
COTORRA66.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.0600.00
LORICA1734.40NaNNaNNaNNaNNaNNaNNaN1806.00NaNNaNNaNNaN17400.00
MOMIL28.00NaNNaN70.00NaNNaN2.0NaN732.00NaNNaNNaNNaN966.00
PURISIMA12.00NaNNaNNaNNaNNaNNaNNaN435.00NaNNaNNaNNaN150.00
2012.0CHIMA158.62NaNNaNNaNNaNNaNNaNNaN514.40NaNNaNNaNNaN1741.60
COTORRA96.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN21.0600.00
LORICA1608.40NaNNaNNaNNaNNaNNaNNaN1604.00NaNNaNNaNNaN12320.00
MOMIL11.20NaNNaN122.50NaN11.010.0NaN341.76NaNNaNNaNNaN1090.00
PURISIMA46.00NaNNaNNaNNaNNaNNaNNaN550.00NaNNaNNaNNaN500.00
2013.0CHIMA268.07NaNNaNNaNNaNNaNNaNNaN1273.20NaNNaNNaNNaN1893.75
COTORRA1410.00NaNNaNNaNNaN90.0NaNNaNNaNNaNNaNNaN30.0600.00
LORICA1170.40NaNNaNNaNNaNNaNNaNNaN2076.801290.0NaNNaNNaN13200.00
MOMIL125.90NaNNaN120.00NaN10.010.0NaN436.72NaNNaNNaNNaN3121.63
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN640.00NaNNaNNaNNaN3230.00
2014.0CHIMA208.80NaNNaNNaNNaNNaNNaNNaN564.40NaNNaNNaNNaN1190.00
COTORRA2190.00NaNNaNNaNNaN90.0NaNNaNNaNNaNNaNNaN57.0648.00
LORICA900.00NaNNaNNaNNaNNaNNaNNaN4495.001290.0NaNNaNNaN12000.00
MOMIL413.00NaNNaN130.00NaNNaN7.0NaN292.03NaNNaNNaNNaN3121.63
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN630.35NaNNaNNaNNaN1860.00
2015.0CHIMA109.20NaNNaNNaNNaNNaNNaNNaN530.06NaNNaNNaNNaN480.00
COTORRA1550.00NaNNaNNaNNaN35.0NaNNaNNaNNaNNaNNaN42.51120.00
LORICA900.00NaNNaNNaNNaNNaNNaNNaN3475.001225.50.00NaNNaN13200.00
MOMIL231.88NaNNaN130.00NaN2.46.0NaN154.00NaNNaNNaNNaN1316.88
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN175.00NaNNaNNaNNaN1800.00
2016.0CHIMA114.00NaNNaNNaNNaNNaNNaNNaN1272.40NaNNaNNaNNaN660.00
COTORRANaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN20.0840.00
LORICA700.00NaNNaNNaNNaNNaNNaNNaN3188.901720.0120.00NaNNaN17400.00
MOMIL177.54105.0NaN40.00NaNNaN3.0NaN498.450.00.75NaNNaN3600.00
PURISIMA45.00NaNNaNNaNNaNNaNNaNNaN161.00NaNNaNNaNNaN1770.00
2017.0CHIMA189.00NaNNaNNaNNaNNaNNaNNaN1147.03NaNNaNNaNNaN287.50
COTORRA1013.40NaN576.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN612.00
LORICA2400.00NaNNaN400.00NaNNaNNaNNaN1894.003440.0150.00NaNNaN10350.00
MOMIL440.00122.5NaN60.00NaNNaNNaNNaN110.000.0NaNNaNNaN890.00
PURISIMA110.00NaNNaNNaNNaNNaNNaNNaN272.50NaNNaNNaNNaN1850.00
2018.0CHIMA205.78NaNNaNNaNNaNNaNNaNNaN934.32NaNNaNNaNNaN920.00
COTORRA1064.28NaN593.54NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN480.00
LORICA300.00NaNNaN400.00NaNNaNNaNNaN4637.503440.0NaNNaNNaN13500.00
MOMILNaN262.5NaN60.00NaNNaNNaNNaN753.000.0NaNNaNNaN1460.00
PURISIMA115.68NaNNaNNaNNaNNaNNaNNaN738.00NaNNaNNaNNaN1918.00
2019.0CHIMANaNNaNNaNNaN10.0NaNNaNNaN10920.00NaNNaNNaNNaN462.00
COTORRANaNNaNNaN120.00NaNNaNNaNNaN14344.40NaNNaNNaNNaN665.00
LORICANaNNaNNaN450.00NaNNaNNaNNaN11395.763200.071.50NaNNaN13430.00
MOMILNaN7.0NaN12.00NaNNaNNaNNaN207.73175.0NaN6.0NaN4353.60
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN576.00NaNNaNNaNNaN2180.00
2020.0CHIMANaNNaNNaNNaN10.0NaNNaNNaN11160.42NaNNaNNaNNaN186.00
COTORRANaNNaNNaN120.00NaNNaNNaNNaN16065.00NaNNaNNaNNaN660.00
LORICANaNNaNNaN451.08NaNNaNNaNNaN11659.323600.075.00NaNNaN13260.00
MOMILNaNNaNNaN14.00NaNNaNNaNNaN434.6393.0NaNNaNNaN4692.00
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN662.00NaNNaNNaNNaN3920.00
2021.0CHIMANaNNaNNaNNaN10.0NaNNaN461.90936.50NaNNaNNaNNaN540.00
COTORRANaNNaNNaN70.00NaNNaNNaNNaNNaNNaNNaNNaNNaN720.00
LORICANaNNaNNaN490.00NaNNaNNaN1281.273132.121840.090.00NaNNaN10000.00
MOMILNaNNaNNaN30.10NaNNaNNaNNaN421.58201.5NaNNaNNaN4381.00
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN1035.00NaNNaNNaNNaN2347.50
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "

Tabla de pivote:

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Productoarroz-secano-manualbatataberenjenacocofrutales-varioshortalizas-variaslimonmaiz-blanco-tradicionalmaiz-tradicionalmangopepino-cohombroplantas-aromaticasplatanotomateyuca
AñoMunicipio
2007.0CHIMA23.00NaNNaNNaNNaNNaNNaNNaN937.50NaNNaNNaNNaNNaN2850.00
COTORRA294.00NaN28.00240.00NaNNaNNaNNaNNaN80.0NaNNaN240.00480.0708.00
LORICA622.00NaNNaNNaNNaNNaNNaNNaN1444.00NaNNaNNaN17210.00NaN10260.00
MOMIL18.00NaNNaNNaNNaNNaNNaNNaN390.00NaNNaNNaN108.00NaN3950.00
PURISIMA120.00NaNNaNNaNNaNNaNNaNNaN773.00NaNNaNNaN270.00NaN4100.00
2008.0CHIMA36.00NaNNaNNaNNaNNaNNaNNaN602.50NaNNaNNaNNaNNaN2430.00
COTORRA301.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN95.00360.060.00
LORICA640.00NaNNaNNaNNaNNaNNaNNaN1650.00NaNNaNNaN15000.00NaN13200.00
MOMIL22.80NaNNaNNaNNaNNaNNaNNaN623.60NaNNaNNaN235.00NaN2570.00
PURISIMA24.00NaNNaNNaNNaNNaNNaNNaN1462.00NaNNaNNaN136.00NaN700.00
2009.0CHIMA80.00NaNNaNNaNNaNNaNNaNNaN407.50NaNNaNNaNNaNNaN510.00
COTORRA480.00NaN0.00NaNNaNNaNNaNNaN80.00NaNNaNNaN450.000.0480.00
LORICA588.50NaNNaNNaNNaNNaNNaNNaN2176.00NaNNaNNaN13800.00NaN12000.00
MOMIL57.10NaNNaN0.00NaNNaN0.0NaN196.40NaNNaNNaN88.00NaN2429.00
PURISIMA24.00NaNNaNNaNNaNNaNNaNNaN1040.00NaNNaNNaN120.00NaN700.00
2010.0CHIMA119.60NaNNaNNaNNaNNaNNaNNaN105.00NaNNaNNaNNaNNaN1125.00
COTORRA200.00NaN12.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN10.0492.00
LORICA848.40NaNNaNNaNNaNNaNNaNNaN1681.00NaNNaNNaN15822.00NaN12320.00
MOMIL52.50NaNNaN0.00NaNNaN1.0NaN354.00NaNNaNNaN84.00NaN518.00
PURISIMA60.00NaNNaNNaNNaNNaNNaNNaN500.00NaNNaNNaN156.00NaN550.00
2011.0CHIMA125.50NaNNaNNaNNaNNaNNaNNaN343.50NaNNaNNaNNaNNaN783.00
COTORRA66.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN600.000.0600.00
LORICA1734.40NaNNaNNaNNaNNaNNaNNaN1806.00NaNNaNNaN21904.00NaN17400.00
MOMIL28.00NaNNaN70.00NaNNaN2.0NaN732.00NaNNaNNaN105.00NaN966.00
PURISIMA12.00NaNNaNNaNNaNNaNNaNNaN435.00NaNNaNNaN120.00NaN150.00
2012.0CHIMA158.62NaNNaNNaNNaNNaNNaNNaN514.40NaNNaNNaN76.80NaN1741.60
COTORRA96.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN780.0021.0600.00
LORICA1608.40NaNNaNNaNNaNNaNNaNNaN1604.00NaNNaNNaN21096.00NaN12320.00
MOMIL11.20NaNNaN122.50NaN11.010.0NaN341.76NaNNaNNaN112.50NaN1090.00
PURISIMA46.00NaNNaNNaNNaNNaNNaNNaN550.00NaNNaNNaN156.00NaN500.00
2013.0CHIMA268.07NaNNaNNaNNaNNaNNaNNaN1273.20NaNNaNNaN109.15NaN1893.75
COTORRA1410.00NaNNaNNaNNaN90.0NaNNaNNaNNaNNaNNaN780.0030.0600.00
LORICA1170.40NaNNaNNaNNaNNaNNaNNaN2076.801290.0NaNNaN30000.00NaN13200.00
MOMIL125.90NaNNaN120.00NaN10.010.0NaN436.72NaNNaNNaN90.00NaN3121.63
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN640.00NaNNaNNaN136.00NaN3230.00
2014.0CHIMA208.80NaNNaNNaNNaNNaNNaNNaN564.40NaNNaNNaN91.00NaN1190.00
COTORRA2190.00NaNNaNNaNNaN90.0NaNNaNNaNNaNNaNNaN900.0057.0648.00
LORICA900.00NaNNaNNaNNaNNaNNaNNaN4495.001290.0NaNNaN30000.00NaN12000.00
MOMIL413.00NaNNaN130.00NaNNaN7.0NaN292.03NaNNaNNaN120.00NaN3121.63
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN630.35NaNNaNNaN172.00NaN1860.00
2015.0CHIMA109.20NaNNaNNaNNaNNaNNaNNaN530.06NaNNaNNaN91.00NaN480.00
COTORRA1550.00NaNNaNNaNNaN35.0NaNNaNNaNNaNNaNNaN960.0042.51120.00
LORICA900.00NaNNaNNaNNaNNaNNaNNaN3475.001225.50.00NaN30000.00NaN13200.00
MOMIL231.88NaNNaN130.00NaN2.46.0NaN154.00NaNNaNNaN45.00NaN1316.88
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN175.00NaNNaNNaN62.50NaN1800.00
2016.0CHIMA114.00NaNNaNNaNNaNNaNNaNNaN1272.40NaNNaNNaN40.00NaN660.00
COTORRANaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1440.0020.0840.00
LORICA700.00NaNNaNNaNNaNNaNNaNNaN3188.901720.0120.00NaN34200.00NaN17400.00
MOMIL177.54105.0NaN40.00NaNNaN3.0NaN498.450.00.75NaN175.00NaN3600.00
PURISIMA45.00NaNNaNNaNNaNNaNNaNNaN161.00NaNNaNNaN60.00NaN1770.00
2017.0CHIMA189.00NaNNaNNaNNaNNaNNaNNaN1147.03NaNNaNNaNNaNNaN287.50
COTORRA1013.40NaN576.00NaNNaNNaNNaNNaNNaNNaNNaNNaN1440.00NaN612.00
LORICA2400.00NaNNaN400.00NaNNaNNaNNaN1894.003440.0150.00NaN34128.00NaN10350.00
MOMIL440.00122.5NaN60.00NaNNaNNaNNaN110.000.0NaNNaN198.00NaN890.00
PURISIMA110.00NaNNaNNaNNaNNaNNaNNaN272.50NaNNaNNaN85.00NaN1850.00
2018.0CHIMA205.78NaNNaNNaNNaNNaNNaNNaN934.32NaNNaNNaNNaNNaN920.00
COTORRA1064.28NaN593.54NaNNaNNaNNaNNaNNaNNaNNaNNaN1440.00NaN480.00
LORICA300.00NaNNaN400.00NaNNaNNaNNaN4637.503440.0NaNNaN34128.00NaN13500.00
MOMILNaN262.5NaN60.00NaNNaNNaNNaN753.000.0NaNNaN198.00NaN1460.00
PURISIMA115.68NaNNaNNaNNaNNaNNaNNaN738.00NaNNaNNaN114.00NaN1918.00
2019.0CHIMANaNNaNNaNNaN10.0NaNNaNNaN10920.00NaNNaNNaN96.00NaN462.00
COTORRANaNNaNNaN120.00NaNNaNNaNNaN14344.40NaNNaNNaN504.00NaN665.00
LORICANaNNaNNaN450.00NaNNaNNaNNaN11395.763200.071.50NaN29800.00NaN13430.00
MOMILNaN7.0NaN12.00NaNNaNNaNNaN207.73175.0NaN6.0399.00NaN4353.60
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN576.00NaNNaNNaN187.60NaN2180.00
2020.0CHIMANaNNaNNaNNaN10.0NaNNaNNaN11160.42NaNNaNNaN96.00NaN186.00
COTORRANaNNaNNaN120.00NaNNaNNaNNaN16065.00NaNNaNNaN720.00NaN660.00
LORICANaNNaNNaN451.08NaNNaNNaNNaN11659.323600.075.00NaN29800.00NaN13260.00
MOMILNaNNaNNaN14.00NaNNaNNaNNaN434.6393.0NaNNaN185.60NaN4692.00
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN662.00NaNNaNNaN210.00NaN3920.00
2021.0CHIMANaNNaNNaNNaN10.0NaNNaN461.90936.50NaNNaNNaN20.40NaN540.00
COTORRANaNNaNNaN70.00NaNNaNNaNNaNNaNNaNNaNNaN427.00NaN720.00
LORICANaNNaNNaN490.00NaNNaNNaN1281.273132.121840.090.00NaN52392.00NaN10000.00
MOMILNaNNaNNaN30.10NaNNaNNaNNaN421.58201.5NaNNaN231.80NaN4381.00
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN1035.00NaNNaNNaN225.00NaN2347.50
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "

Tabla de pivote:

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Productoarroz-secano-manualbatataberenjenacocofrutales-varioshortalizas-variaslimonmaiz-blanco-tradicionalmaiz-tradicionalmangonaranjapepino-cohombroplantas-aromaticasplatanotomateyuca
AñoMunicipio
2007.0CHIMA23.00NaNNaNNaNNaNNaNNaNNaN937.50NaNNaNNaNNaNNaNNaN2850.00
COTORRA294.00NaN28.00240.00NaNNaNNaNNaNNaN80.062.0NaNNaN240.00480.0708.00
LORICA622.00NaNNaNNaNNaNNaNNaNNaN1444.00NaNNaNNaNNaN17210.00NaN10260.00
MOMIL18.00NaNNaNNaNNaNNaNNaNNaN390.00NaNNaNNaNNaN108.00NaN3950.00
PURISIMA120.00NaNNaNNaNNaNNaNNaNNaN773.00NaN85.0NaNNaN270.00NaN4100.00
2008.0CHIMA36.00NaNNaNNaNNaNNaNNaNNaN602.50NaNNaNNaNNaNNaNNaN2430.00
COTORRA301.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN95.00360.060.00
LORICA640.00NaNNaNNaNNaNNaNNaNNaN1650.00NaNNaNNaNNaN15000.00NaN13200.00
MOMIL22.80NaNNaNNaNNaNNaNNaNNaN623.60NaN0.0NaNNaN235.00NaN2570.00
PURISIMA24.00NaNNaNNaNNaNNaNNaNNaN1462.00NaN90.0NaNNaN136.00NaN700.00
2009.0CHIMA80.00NaNNaNNaNNaNNaNNaNNaN407.50NaNNaNNaNNaNNaNNaN510.00
COTORRA480.00NaN0.00NaNNaNNaNNaNNaN80.00NaNNaNNaNNaN450.000.0480.00
LORICA588.50NaNNaNNaNNaNNaNNaNNaN2176.00NaNNaNNaNNaN13800.00NaN12000.00
MOMIL57.10NaNNaN0.00NaNNaN0.0NaN196.40NaN59.5NaNNaN88.00NaN2429.00
PURISIMA24.00NaNNaNNaNNaNNaNNaNNaN1040.00NaN100.0NaNNaN120.00NaN700.00
2010.0CHIMA119.60NaNNaNNaNNaNNaNNaNNaN105.00NaNNaNNaNNaNNaNNaN1125.00
COTORRA200.00NaN12.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN10.0492.00
LORICA848.40NaNNaNNaNNaNNaNNaNNaN1681.00NaNNaNNaNNaN15822.00NaN12320.00
MOMIL52.50NaNNaN0.00NaNNaN1.0NaN354.00NaN9.9NaNNaN84.00NaN518.00
PURISIMA60.00NaNNaNNaNNaNNaNNaNNaN500.00NaNNaNNaNNaN156.00NaN550.00
2011.0CHIMA125.50NaNNaNNaNNaNNaNNaNNaN343.50NaNNaNNaNNaNNaNNaN783.00
COTORRA66.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN600.000.0600.00
LORICA1734.40NaNNaNNaNNaNNaNNaNNaN1806.00NaNNaNNaNNaN21904.00NaN17400.00
MOMIL28.00NaNNaN70.00NaNNaN2.0NaN732.00NaN6.3NaNNaN105.00NaN966.00
PURISIMA12.00NaNNaNNaNNaNNaNNaNNaN435.00NaNNaNNaNNaN120.00NaN150.00
2012.0CHIMA158.62NaNNaNNaNNaNNaNNaNNaN514.40NaNNaNNaNNaN76.80NaN1741.60
COTORRA96.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN780.0021.0600.00
LORICA1608.40NaNNaNNaNNaNNaNNaNNaN1604.00NaNNaNNaNNaN21096.00NaN12320.00
MOMIL11.20NaNNaN122.50NaN11.010.0NaN341.76NaN4.9NaNNaN112.50NaN1090.00
PURISIMA46.00NaNNaNNaNNaNNaNNaNNaN550.00NaNNaNNaNNaN156.00NaN500.00
2013.0CHIMA268.07NaNNaNNaNNaNNaNNaNNaN1273.20NaNNaNNaNNaN109.15NaN1893.75
COTORRA1410.00NaNNaNNaNNaN90.0NaNNaNNaNNaNNaNNaNNaN780.0030.0600.00
LORICA1170.40NaNNaNNaNNaNNaNNaNNaN2076.801290.0NaNNaNNaN30000.00NaN13200.00
MOMIL125.90NaNNaN120.00NaN10.010.0NaN436.72NaN35.0NaNNaN90.00NaN3121.63
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN640.00NaNNaNNaNNaN136.00NaN3230.00
2014.0CHIMA208.80NaNNaNNaNNaNNaNNaNNaN564.40NaNNaNNaNNaN91.00NaN1190.00
COTORRA2190.00NaNNaNNaNNaN90.0NaNNaNNaNNaNNaNNaNNaN900.0057.0648.00
LORICA900.00NaNNaNNaNNaNNaNNaNNaN4495.001290.0NaNNaNNaN30000.00NaN12000.00
MOMIL413.00NaNNaN130.00NaNNaN7.0NaN292.03NaN35.0NaNNaN120.00NaN3121.63
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN630.35NaNNaNNaNNaN172.00NaN1860.00
2015.0CHIMA109.20NaNNaNNaNNaNNaNNaNNaN530.06NaNNaNNaNNaN91.00NaN480.00
COTORRA1550.00NaNNaNNaNNaN35.0NaNNaNNaNNaNNaNNaNNaN960.0042.51120.00
LORICA900.00NaNNaNNaNNaNNaNNaNNaN3475.001225.5NaN0.00NaN30000.00NaN13200.00
MOMIL231.88NaNNaN130.00NaN2.46.0NaN154.00NaN3.0NaNNaN45.00NaN1316.88
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN175.00NaNNaNNaNNaN62.50NaN1800.00
2016.0CHIMA114.00NaNNaNNaNNaNNaNNaNNaN1272.40NaNNaNNaNNaN40.00NaN660.00
COTORRANaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1440.0020.0840.00
LORICA700.00NaNNaNNaNNaNNaNNaNNaN3188.901720.0NaN120.00NaN34200.00NaN17400.00
MOMIL177.54105.0NaN40.00NaNNaN3.0NaN498.450.024.00.75NaN175.00NaN3600.00
PURISIMA45.00NaNNaNNaNNaNNaNNaNNaN161.00NaNNaNNaNNaN60.00NaN1770.00
2017.0CHIMA189.00NaNNaNNaNNaNNaNNaNNaN1147.03NaNNaNNaNNaNNaNNaN287.50
COTORRA1013.40NaN576.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1440.00NaN612.00
LORICA2400.00NaNNaN400.00NaNNaNNaNNaN1894.003440.0NaN150.00NaN34128.00NaN10350.00
MOMIL440.00122.5NaN60.00NaNNaNNaNNaN110.000.04.5NaNNaN198.00NaN890.00
PURISIMA110.00NaNNaNNaNNaNNaNNaNNaN272.50NaNNaNNaNNaN85.00NaN1850.00
2018.0CHIMA205.78NaNNaNNaNNaNNaNNaNNaN934.32NaNNaNNaNNaNNaNNaN920.00
COTORRA1064.28NaN593.54NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1440.00NaN480.00
LORICA300.00NaNNaN400.00NaNNaNNaNNaN4637.503440.0NaNNaNNaN34128.00NaN13500.00
MOMILNaN262.5NaN60.00NaNNaNNaNNaN753.000.04.5NaNNaN198.00NaN1460.00
PURISIMA115.68NaNNaNNaNNaNNaNNaNNaN738.00NaNNaNNaNNaN114.00NaN1918.00
2019.0CHIMANaNNaNNaNNaN10.0NaNNaNNaN10920.00NaN10.0NaNNaN96.00NaN462.00
COTORRANaNNaNNaN120.00NaNNaNNaNNaN14344.40NaNNaNNaNNaN504.00NaN665.00
LORICANaNNaNNaN450.00NaNNaNNaNNaN11395.763200.0NaN71.50NaN29800.00NaN13430.00
MOMILNaN7.0NaN12.00NaNNaNNaNNaN207.73175.010.0NaN6.0399.00NaN4353.60
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN576.00NaNNaNNaNNaN187.60NaN2180.00
2020.0CHIMANaNNaNNaNNaN10.0NaNNaNNaN11160.42NaN10.0NaNNaN96.00NaN186.00
COTORRANaNNaNNaN120.00NaNNaNNaNNaN16065.00NaNNaNNaNNaN720.00NaN660.00
LORICANaNNaNNaN451.08NaNNaNNaNNaN11659.323600.0NaN75.00NaN29800.00NaN13260.00
MOMILNaNNaNNaN14.00NaNNaNNaNNaN434.6393.013.5NaNNaN185.60NaN4692.00
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN662.00NaNNaNNaNNaN210.00NaN3920.00
2021.0CHIMANaNNaNNaNNaN10.0NaNNaN461.90936.50NaN20.0NaNNaN20.40NaN540.00
COTORRANaNNaNNaN70.00NaNNaNNaNNaNNaNNaNNaNNaNNaN427.00NaN720.00
LORICANaNNaNNaN490.00NaNNaNNaN1281.273132.121840.0NaN90.00NaN52392.00NaN10000.00
MOMILNaNNaNNaN30.10NaNNaNNaNNaN421.58201.524.9NaNNaN231.80NaN4381.00
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN1035.00NaNNaNNaNNaN225.00NaN2347.50
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "

Tabla de pivote:

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Productoarroz-secano-manualbatataberenjenacocofrutales-varioshortalizas-variaslimonmaiz-blanco-tradicionalmaiz-tradicionalmangomaracuyanaranjapepino-cohombroplantas-aromaticasplatanotomateyuca
AñoMunicipio
2007.0CHIMA23.00NaNNaNNaNNaNNaNNaNNaN937.50NaNNaNNaNNaNNaNNaNNaN2850.00
COTORRA294.00NaN28.00240.00NaNNaNNaNNaNNaN80.0NaN62.0NaNNaN240.00480.0708.00
LORICA622.00NaNNaNNaNNaNNaNNaNNaN1444.00NaNNaNNaNNaNNaN17210.00NaN10260.00
MOMIL18.00NaNNaNNaNNaNNaNNaNNaN390.00NaNNaNNaNNaNNaN108.00NaN3950.00
PURISIMA120.00NaNNaNNaNNaNNaNNaNNaN773.00NaNNaN85.0NaNNaN270.00NaN4100.00
2008.0CHIMA36.00NaNNaNNaNNaNNaNNaNNaN602.50NaNNaNNaNNaNNaNNaNNaN2430.00
COTORRA301.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN95.00360.060.00
LORICA640.00NaNNaNNaNNaNNaNNaNNaN1650.00NaNNaNNaNNaNNaN15000.00NaN13200.00
MOMIL22.80NaNNaNNaNNaNNaNNaNNaN623.60NaNNaN0.0NaNNaN235.00NaN2570.00
PURISIMA24.00NaNNaNNaNNaNNaNNaNNaN1462.00NaNNaN90.0NaNNaN136.00NaN700.00
2009.0CHIMA80.00NaNNaNNaNNaNNaNNaNNaN407.50NaNNaNNaNNaNNaNNaNNaN510.00
COTORRA480.00NaN0.00NaNNaNNaNNaNNaN80.00NaNNaNNaNNaNNaN450.000.0480.00
LORICA588.50NaNNaNNaNNaNNaNNaNNaN2176.00NaNNaNNaNNaNNaN13800.00NaN12000.00
MOMIL57.10NaNNaN0.00NaNNaN0.0NaN196.40NaNNaN59.5NaNNaN88.00NaN2429.00
PURISIMA24.00NaNNaNNaNNaNNaNNaNNaN1040.00NaNNaN100.0NaNNaN120.00NaN700.00
2010.0CHIMA119.60NaNNaNNaNNaNNaNNaNNaN105.00NaNNaNNaNNaNNaNNaNNaN1125.00
COTORRA200.00NaN12.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN10.0492.00
LORICA848.40NaNNaNNaNNaNNaNNaNNaN1681.00NaNNaNNaNNaNNaN15822.00NaN12320.00
MOMIL52.50NaNNaN0.00NaNNaN1.0NaN354.00NaNNaN9.9NaNNaN84.00NaN518.00
PURISIMA60.00NaNNaNNaNNaNNaNNaNNaN500.00NaNNaNNaNNaNNaN156.00NaN550.00
2011.0CHIMA125.50NaNNaNNaNNaNNaNNaNNaN343.50NaNNaNNaNNaNNaNNaNNaN783.00
COTORRA66.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN600.000.0600.00
LORICA1734.40NaNNaNNaNNaNNaNNaNNaN1806.00NaNNaNNaNNaNNaN21904.00NaN17400.00
MOMIL28.00NaNNaN70.00NaNNaN2.0NaN732.00NaNNaN6.3NaNNaN105.00NaN966.00
PURISIMA12.00NaNNaNNaNNaNNaNNaNNaN435.00NaNNaNNaNNaNNaN120.00NaN150.00
2012.0CHIMA158.62NaNNaNNaNNaNNaNNaNNaN514.40NaNNaNNaNNaNNaN76.80NaN1741.60
COTORRA96.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN780.0021.0600.00
LORICA1608.40NaNNaNNaNNaNNaNNaNNaN1604.00NaNNaNNaNNaNNaN21096.00NaN12320.00
MOMIL11.20NaNNaN122.50NaN11.010.0NaN341.76NaNNaN4.9NaNNaN112.50NaN1090.00
PURISIMA46.00NaNNaNNaNNaNNaNNaNNaN550.00NaNNaNNaNNaNNaN156.00NaN500.00
2013.0CHIMA268.07NaNNaNNaNNaNNaNNaNNaN1273.20NaNNaNNaNNaNNaN109.15NaN1893.75
COTORRA1410.00NaNNaNNaNNaN90.0NaNNaNNaNNaNNaNNaNNaNNaN780.0030.0600.00
LORICA1170.40NaNNaNNaNNaNNaNNaNNaN2076.801290.0NaNNaNNaNNaN30000.00NaN13200.00
MOMIL125.90NaNNaN120.00NaN10.010.0NaN436.72NaNNaN35.0NaNNaN90.00NaN3121.63
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN640.00NaNNaNNaNNaNNaN136.00NaN3230.00
2014.0CHIMA208.80NaNNaNNaNNaNNaNNaNNaN564.40NaNNaNNaNNaNNaN91.00NaN1190.00
COTORRA2190.00NaNNaNNaNNaN90.0NaNNaNNaNNaNNaNNaNNaNNaN900.0057.0648.00
LORICA900.00NaNNaNNaNNaNNaNNaNNaN4495.001290.0NaNNaNNaNNaN30000.00NaN12000.00
MOMIL413.00NaNNaN130.00NaNNaN7.0NaN292.03NaNNaN35.0NaNNaN120.00NaN3121.63
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN630.35NaNNaNNaNNaNNaN172.00NaN1860.00
2015.0CHIMA109.20NaNNaNNaNNaNNaNNaNNaN530.06NaNNaNNaNNaNNaN91.00NaN480.00
COTORRA1550.00NaNNaNNaNNaN35.0NaNNaNNaNNaNNaNNaNNaNNaN960.0042.51120.00
LORICA900.00NaNNaNNaNNaNNaNNaNNaN3475.001225.5NaNNaN0.00NaN30000.00NaN13200.00
MOMIL231.88NaNNaN130.00NaN2.46.0NaN154.00NaNNaN3.0NaNNaN45.00NaN1316.88
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN175.00NaNNaNNaNNaNNaN62.50NaN1800.00
2016.0CHIMA114.00NaNNaNNaNNaNNaNNaNNaN1272.40NaNNaNNaNNaNNaN40.00NaN660.00
COTORRANaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1440.0020.0840.00
LORICA700.00NaNNaNNaNNaNNaNNaNNaN3188.901720.0NaNNaN120.00NaN34200.00NaN17400.00
MOMIL177.54105.0NaN40.00NaNNaN3.0NaN498.450.0NaN24.00.75NaN175.00NaN3600.00
PURISIMA45.00NaNNaNNaNNaNNaNNaNNaN161.00NaNNaNNaNNaNNaN60.00NaN1770.00
2017.0CHIMA189.00NaNNaNNaNNaNNaNNaNNaN1147.03NaNNaNNaNNaNNaNNaNNaN287.50
COTORRA1013.40NaN576.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1440.00NaN612.00
LORICA2400.00NaNNaN400.00NaNNaNNaNNaN1894.003440.0NaNNaN150.00NaN34128.00NaN10350.00
MOMIL440.00122.5NaN60.00NaNNaNNaNNaN110.000.0NaN4.5NaNNaN198.00NaN890.00
PURISIMA110.00NaNNaNNaNNaNNaNNaNNaN272.50NaNNaNNaNNaNNaN85.00NaN1850.00
2018.0CHIMA205.78NaNNaNNaNNaNNaNNaNNaN934.32NaNNaNNaNNaNNaNNaNNaN920.00
COTORRA1064.28NaN593.54NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1440.00NaN480.00
LORICA300.00NaNNaN400.00NaNNaNNaNNaN4637.503440.0NaNNaNNaNNaN34128.00NaN13500.00
MOMILNaN262.5NaN60.00NaNNaNNaNNaN753.000.0NaN4.5NaNNaN198.00NaN1460.00
PURISIMA115.68NaNNaNNaNNaNNaNNaNNaN738.00NaNNaNNaNNaNNaN114.00NaN1918.00
2019.0CHIMANaNNaNNaNNaN10.0NaNNaNNaN10920.00NaNNaN10.0NaNNaN96.00NaN462.00
COTORRANaNNaNNaN120.00NaNNaNNaNNaN14344.40NaNNaNNaNNaNNaN504.00NaN665.00
LORICANaNNaNNaN450.00NaNNaNNaNNaN11395.763200.0NaNNaN71.50NaN29800.00NaN13430.00
MOMILNaN7.0NaN12.00NaNNaNNaNNaN207.73175.03.0010.0NaN6.0399.00NaN4353.60
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN576.00NaNNaNNaNNaNNaN187.60NaN2180.00
2020.0CHIMANaNNaNNaNNaN10.0NaNNaNNaN11160.42NaNNaN10.0NaNNaN96.00NaN186.00
COTORRANaNNaNNaN120.00NaNNaNNaNNaN16065.00NaNNaNNaNNaNNaN720.00NaN660.00
LORICANaNNaNNaN451.08NaNNaNNaNNaN11659.323600.0NaNNaN75.00NaN29800.00NaN13260.00
MOMILNaNNaNNaN14.00NaNNaNNaNNaN434.6393.01.0013.5NaNNaN185.60NaN4692.00
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN662.00NaNNaNNaNNaNNaN210.00NaN3920.00
2021.0CHIMANaNNaNNaNNaN10.0NaNNaN461.90936.50NaNNaN20.0NaNNaN20.40NaN540.00
COTORRANaNNaNNaN70.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN427.00NaN720.00
LORICANaNNaNNaN490.00NaNNaNNaN1281.273132.121840.0NaNNaN90.00NaN52392.00NaN10000.00
MOMILNaNNaNNaN30.10NaNNaNNaNNaN421.58201.52.8524.9NaNNaN231.80NaN4381.00
PURISIMANaNNaNNaNNaNNaNNaNNaNNaN1035.00NaNNaNNaNNaNNaN225.00NaN2347.50
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "

Tabla de pivote:

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Productoarroz-secano-manualbatataberenjenacilantrococofrutales-varioshortalizas-variaslimonmaiz-blanco-tradicionalmaiz-tradicionalmangomaracuyanaranjapepino-cohombroplantas-aromaticasplatanotomateyuca
AñoMunicipio
2007.0CHIMA23.00NaNNaNNaNNaNNaNNaNNaNNaN937.50NaNNaNNaNNaNNaNNaNNaN2850.00
COTORRA294.00NaN28.00NaN240.00NaNNaNNaNNaNNaN80.0NaN62.0NaNNaN240.00480.0708.00
LORICA622.00NaNNaNNaNNaNNaNNaNNaNNaN1444.00NaNNaNNaNNaNNaN17210.00NaN10260.00
MOMIL18.00NaNNaNNaNNaNNaNNaNNaNNaN390.00NaNNaNNaNNaNNaN108.00NaN3950.00
PURISIMA120.00NaNNaNNaNNaNNaNNaNNaNNaN773.00NaNNaN85.0NaNNaN270.00NaN4100.00
2008.0CHIMA36.00NaNNaNNaNNaNNaNNaNNaNNaN602.50NaNNaNNaNNaNNaNNaNNaN2430.00
COTORRA301.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN95.00360.060.00
LORICA640.00NaNNaNNaNNaNNaNNaNNaNNaN1650.00NaNNaNNaNNaNNaN15000.00NaN13200.00
MOMIL22.80NaNNaNNaNNaNNaNNaNNaNNaN623.60NaNNaN0.0NaNNaN235.00NaN2570.00
PURISIMA24.00NaNNaNNaNNaNNaNNaNNaNNaN1462.00NaNNaN90.0NaNNaN136.00NaN700.00
2009.0CHIMA80.00NaNNaNNaNNaNNaNNaNNaNNaN407.50NaNNaNNaNNaNNaNNaNNaN510.00
COTORRA480.00NaN0.00NaNNaNNaNNaNNaNNaN80.00NaNNaNNaNNaNNaN450.000.0480.00
LORICA588.50NaNNaNNaNNaNNaNNaNNaNNaN2176.00NaNNaNNaNNaNNaN13800.00NaN12000.00
MOMIL57.10NaNNaNNaN0.00NaNNaN0.0NaN196.40NaNNaN59.5NaNNaN88.00NaN2429.00
PURISIMA24.00NaNNaNNaNNaNNaNNaNNaNNaN1040.00NaNNaN100.0NaNNaN120.00NaN700.00
2010.0CHIMA119.60NaNNaNNaNNaNNaNNaNNaNNaN105.00NaNNaNNaNNaNNaNNaNNaN1125.00
COTORRA200.00NaN12.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN10.0492.00
LORICA848.40NaNNaNNaNNaNNaNNaNNaNNaN1681.00NaNNaNNaNNaNNaN15822.00NaN12320.00
MOMIL52.50NaNNaNNaN0.00NaNNaN1.0NaN354.00NaNNaN9.9NaNNaN84.00NaN518.00
PURISIMA60.00NaNNaNNaNNaNNaNNaNNaNNaN500.00NaNNaNNaNNaNNaN156.00NaN550.00
2011.0CHIMA125.50NaNNaNNaNNaNNaNNaNNaNNaN343.50NaNNaNNaNNaNNaNNaNNaN783.00
COTORRA66.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN600.000.0600.00
LORICA1734.40NaNNaNNaNNaNNaNNaNNaNNaN1806.00NaNNaNNaNNaNNaN21904.00NaN17400.00
MOMIL28.00NaNNaNNaN70.00NaNNaN2.0NaN732.00NaNNaN6.3NaNNaN105.00NaN966.00
PURISIMA12.00NaNNaNNaNNaNNaNNaNNaNNaN435.00NaNNaNNaNNaNNaN120.00NaN150.00
2012.0CHIMA158.62NaNNaNNaNNaNNaNNaNNaNNaN514.40NaNNaNNaNNaNNaN76.80NaN1741.60
COTORRA96.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN780.0021.0600.00
LORICA1608.40NaNNaNNaNNaNNaNNaNNaNNaN1604.00NaNNaNNaNNaNNaN21096.00NaN12320.00
MOMIL11.20NaNNaNNaN122.50NaN11.010.0NaN341.76NaNNaN4.9NaNNaN112.50NaN1090.00
PURISIMA46.00NaNNaNNaNNaNNaNNaNNaNNaN550.00NaNNaNNaNNaNNaN156.00NaN500.00
2013.0CHIMA268.07NaNNaNNaNNaNNaNNaNNaNNaN1273.20NaNNaNNaNNaNNaN109.15NaN1893.75
COTORRA1410.00NaNNaNNaNNaNNaN90.0NaNNaNNaNNaNNaNNaNNaNNaN780.0030.0600.00
LORICA1170.40NaNNaNNaNNaNNaNNaNNaNNaN2076.801290.0NaNNaNNaNNaN30000.00NaN13200.00
MOMIL125.90NaNNaNNaN120.00NaN10.010.0NaN436.72NaNNaN35.0NaNNaN90.00NaN3121.63
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaN640.00NaNNaNNaNNaNNaN136.00NaN3230.00
2014.0CHIMA208.80NaNNaNNaNNaNNaNNaNNaNNaN564.40NaNNaNNaNNaNNaN91.00NaN1190.00
COTORRA2190.00NaNNaNNaNNaNNaN90.0NaNNaNNaNNaNNaNNaNNaNNaN900.0057.0648.00
LORICA900.00NaNNaNNaNNaNNaNNaNNaNNaN4495.001290.0NaNNaNNaNNaN30000.00NaN12000.00
MOMIL413.00NaNNaNNaN130.00NaNNaN7.0NaN292.03NaNNaN35.0NaNNaN120.00NaN3121.63
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaN630.35NaNNaNNaNNaNNaN172.00NaN1860.00
2015.0CHIMA109.20NaNNaNNaNNaNNaNNaNNaNNaN530.06NaNNaNNaNNaNNaN91.00NaN480.00
COTORRA1550.00NaNNaNNaNNaNNaN35.0NaNNaNNaNNaNNaNNaNNaNNaN960.0042.51120.00
LORICA900.00NaNNaNNaNNaNNaNNaNNaNNaN3475.001225.5NaNNaN0.00NaN30000.00NaN13200.00
MOMIL231.88NaNNaNNaN130.00NaN2.46.0NaN154.00NaNNaN3.0NaNNaN45.00NaN1316.88
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaN175.00NaNNaNNaNNaNNaN62.50NaN1800.00
2016.0CHIMA114.00NaNNaNNaNNaNNaNNaNNaNNaN1272.40NaNNaNNaNNaNNaN40.00NaN660.00
COTORRANaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1440.0020.0840.00
LORICA700.00NaNNaNNaNNaNNaNNaNNaNNaN3188.901720.0NaNNaN120.00NaN34200.00NaN17400.00
MOMIL177.54105.0NaNNaN40.00NaNNaN3.0NaN498.450.0NaN24.00.75NaN175.00NaN3600.00
PURISIMA45.00NaNNaNNaNNaNNaNNaNNaNNaN161.00NaNNaNNaNNaNNaN60.00NaN1770.00
2017.0CHIMA189.00NaNNaNNaNNaNNaNNaNNaNNaN1147.03NaNNaNNaNNaNNaNNaNNaN287.50
COTORRA1013.40NaN576.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1440.00NaN612.00
LORICA2400.00NaNNaNNaN400.00NaNNaNNaNNaN1894.003440.0NaNNaN150.00NaN34128.00NaN10350.00
MOMIL440.00122.5NaNNaN60.00NaNNaNNaNNaN110.000.0NaN4.5NaNNaN198.00NaN890.00
PURISIMA110.00NaNNaNNaNNaNNaNNaNNaNNaN272.50NaNNaNNaNNaNNaN85.00NaN1850.00
2018.0CHIMA205.78NaNNaNNaNNaNNaNNaNNaNNaN934.32NaNNaNNaNNaNNaNNaNNaN920.00
COTORRA1064.28NaN593.54NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1440.00NaN480.00
LORICA300.00NaNNaNNaN400.00NaNNaNNaNNaN4637.503440.0NaNNaNNaNNaN34128.00NaN13500.00
MOMILNaN262.5NaNNaN60.00NaNNaNNaNNaN753.000.0NaN4.5NaNNaN198.00NaN1460.00
PURISIMA115.68NaNNaNNaNNaNNaNNaNNaNNaN738.00NaNNaNNaNNaNNaN114.00NaN1918.00
2019.0CHIMANaNNaNNaNNaNNaN10.0NaNNaNNaN10920.00NaNNaN10.0NaNNaN96.00NaN462.00
COTORRANaNNaNNaNNaN120.00NaNNaNNaNNaN14344.40NaNNaNNaNNaNNaN504.00NaN665.00
LORICANaNNaNNaNNaN450.00NaNNaNNaNNaN11395.763200.0NaNNaN71.50NaN29800.00NaN13430.00
MOMILNaN7.0NaN1.012.00NaNNaNNaNNaN207.73175.03.0010.0NaN6.0399.00NaN4353.60
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaN576.00NaNNaNNaNNaNNaN187.60NaN2180.00
2020.0CHIMANaNNaNNaNNaNNaN10.0NaNNaNNaN11160.42NaNNaN10.0NaNNaN96.00NaN186.00
COTORRANaNNaNNaNNaN120.00NaNNaNNaNNaN16065.00NaNNaNNaNNaNNaN720.00NaN660.00
LORICANaNNaNNaNNaN451.08NaNNaNNaNNaN11659.323600.0NaNNaN75.00NaN29800.00NaN13260.00
MOMILNaNNaNNaNNaN14.00NaNNaNNaNNaN434.6393.01.0013.5NaNNaN185.60NaN4692.00
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaN662.00NaNNaNNaNNaNNaN210.00NaN3920.00
2021.0CHIMANaNNaNNaNNaNNaN10.0NaNNaN461.90936.50NaNNaN20.0NaNNaN20.40NaN540.00
COTORRANaNNaNNaNNaN70.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN427.00NaN720.00
LORICANaNNaNNaNNaN490.00NaNNaNNaN1281.273132.121840.0NaNNaN90.00NaN52392.00NaN10000.00
MOMILNaNNaNNaNNaN30.10NaNNaNNaNNaN421.58201.52.8524.9NaNNaN231.80NaN4381.00
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaN1035.00NaNNaNNaNNaNNaN225.00NaN2347.50
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "

Tabla de pivote:

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Productoarroz-secano-manualbatataberenjenacilantrococofrutales-varioshortalizas-variaslimonmaiz-blanco-tradicionalmaiz-tradicionalmangomaracuyanaranjapatillapepino-cohombroplantas-aromaticasplatanotomateyuca
AñoMunicipio
2007.0CHIMA23.00NaNNaNNaNNaNNaNNaNNaNNaN937.50NaNNaNNaN5445.00NaNNaNNaNNaN2850.00
COTORRA294.00NaN28.00NaN240.00NaNNaNNaNNaNNaN80.0NaN62.0NaNNaNNaN240.00480.0708.00
LORICA622.00NaNNaNNaNNaNNaNNaNNaNNaN1444.00NaNNaNNaN412.00NaNNaN17210.00NaN10260.00
MOMIL18.00NaNNaNNaNNaNNaNNaNNaNNaN390.00NaNNaNNaN2088.00NaNNaN108.00NaN3950.00
PURISIMA120.00NaNNaNNaNNaNNaNNaNNaNNaN773.00NaNNaN85.02610.00NaNNaN270.00NaN4100.00
2008.0CHIMA36.00NaNNaNNaNNaNNaNNaNNaNNaN602.50NaNNaNNaN7185.00NaNNaNNaNNaN2430.00
COTORRA301.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN95.00360.060.00
LORICA640.00NaNNaNNaNNaNNaNNaNNaNNaN1650.00NaNNaNNaN348.00NaNNaN15000.00NaN13200.00
MOMIL22.80NaNNaNNaNNaNNaNNaNNaNNaN623.60NaNNaN0.02190.00NaNNaN235.00NaN2570.00
PURISIMA24.00NaNNaNNaNNaNNaNNaNNaNNaN1462.00NaNNaN90.03000.00NaNNaN136.00NaN700.00
2009.0CHIMA80.00NaNNaNNaNNaNNaNNaNNaNNaN407.50NaNNaNNaN12450.00NaNNaNNaNNaN510.00
COTORRA480.00NaN0.00NaNNaNNaNNaNNaNNaN80.00NaNNaNNaNNaNNaNNaN450.000.0480.00
LORICA588.50NaNNaNNaNNaNNaNNaNNaNNaN2176.00NaNNaNNaN180.00NaNNaN13800.00NaN12000.00
MOMIL57.10NaNNaNNaN0.00NaNNaN0.0NaN196.40NaNNaN59.5894.00NaNNaN88.00NaN2429.00
PURISIMA24.00NaNNaNNaNNaNNaNNaNNaNNaN1040.00NaNNaN100.0115.00NaNNaN120.00NaN700.00
2010.0CHIMA119.60NaNNaNNaNNaNNaNNaNNaNNaN105.00NaNNaNNaN4640.00NaNNaNNaNNaN1125.00
COTORRA200.00NaN12.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN10.0492.00
LORICA848.40NaNNaNNaNNaNNaNNaNNaNNaN1681.00NaNNaNNaN33.60NaNNaN15822.00NaN12320.00
MOMIL52.50NaNNaNNaN0.00NaNNaN1.0NaN354.00NaNNaN9.9547.00NaNNaN84.00NaN518.00
PURISIMA60.00NaNNaNNaNNaNNaNNaNNaNNaN500.00NaNNaNNaN1730.00NaNNaN156.00NaN550.00
2011.0CHIMA125.50NaNNaNNaNNaNNaNNaNNaNNaN343.50NaNNaNNaN1500.00NaNNaNNaNNaN783.00
COTORRA66.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN600.000.0600.00
LORICA1734.40NaNNaNNaNNaNNaNNaNNaNNaN1806.00NaNNaNNaNNaNNaNNaN21904.00NaN17400.00
MOMIL28.00NaNNaNNaN70.00NaNNaN2.0NaN732.00NaNNaN6.3158.00NaNNaN105.00NaN966.00
PURISIMA12.00NaNNaNNaNNaNNaNNaNNaNNaN435.00NaNNaNNaN50.00NaNNaN120.00NaN150.00
2012.0CHIMA158.62NaNNaNNaNNaNNaNNaNNaNNaN514.40NaNNaNNaN5718.88NaNNaN76.80NaN1741.60
COTORRA96.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN780.0021.0600.00
LORICA1608.40NaNNaNNaNNaNNaNNaNNaNNaN1604.00NaNNaNNaNNaNNaNNaN21096.00NaN12320.00
MOMIL11.20NaNNaNNaN122.50NaN11.010.0NaN341.76NaNNaN4.9904.00NaNNaN112.50NaN1090.00
PURISIMA46.00NaNNaNNaNNaNNaNNaNNaNNaN550.00NaNNaNNaN80.00NaNNaN156.00NaN500.00
2013.0CHIMA268.07NaNNaNNaNNaNNaNNaNNaNNaN1273.20NaNNaNNaN4368.00NaNNaN109.15NaN1893.75
COTORRA1410.00NaNNaNNaNNaNNaN90.0NaNNaNNaNNaNNaNNaNNaNNaNNaN780.0030.0600.00
LORICA1170.40NaNNaNNaNNaNNaNNaNNaNNaN2076.801290.0NaNNaN0.00NaNNaN30000.00NaN13200.00
MOMIL125.90NaNNaNNaN120.00NaN10.010.0NaN436.72NaNNaN35.01495.00NaNNaN90.00NaN3121.63
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaN640.00NaNNaNNaN4000.00NaNNaN136.00NaN3230.00
2014.0CHIMA208.80NaNNaNNaNNaNNaNNaNNaNNaN564.40NaNNaNNaN1198.50NaNNaN91.00NaN1190.00
COTORRA2190.00NaNNaNNaNNaNNaN90.0NaNNaNNaNNaNNaNNaNNaNNaNNaN900.0057.0648.00
LORICA900.00NaNNaNNaNNaNNaNNaNNaNNaN4495.001290.0NaNNaN1920.00NaNNaN30000.00NaN12000.00
MOMIL413.00NaNNaNNaN130.00NaNNaN7.0NaN292.03NaNNaN35.073.50NaNNaN120.00NaN3121.63
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaN630.35NaNNaNNaN4000.00NaNNaN172.00NaN1860.00
2015.0CHIMA109.20NaNNaNNaNNaNNaNNaNNaNNaN530.06NaNNaNNaN1440.00NaNNaN91.00NaN480.00
COTORRA1550.00NaNNaNNaNNaNNaN35.0NaNNaNNaNNaNNaNNaNNaNNaNNaN960.0042.51120.00
LORICA900.00NaNNaNNaNNaNNaNNaNNaNNaN3475.001225.5NaNNaN0.000.00NaN30000.00NaN13200.00
MOMIL231.88NaNNaNNaN130.00NaN2.46.0NaN154.00NaNNaN3.00.00NaNNaN45.00NaN1316.88
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaN175.00NaNNaNNaN2000.00NaNNaN62.50NaN1800.00
2016.0CHIMA114.00NaNNaNNaNNaNNaNNaNNaNNaN1272.40NaNNaNNaN4200.00NaNNaN40.00NaN660.00
COTORRANaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1440.0020.0840.00
LORICA700.00NaNNaNNaNNaNNaNNaNNaNNaN3188.901720.0NaNNaN990.00120.00NaN34200.00NaN17400.00
MOMIL177.54105.0NaNNaN40.00NaNNaN3.0NaN498.450.0NaN24.02489.000.75NaN175.00NaN3600.00
PURISIMA45.00NaNNaNNaNNaNNaNNaNNaNNaN161.00NaNNaNNaN630.00NaNNaN60.00NaN1770.00
2017.0CHIMA189.00NaNNaNNaNNaNNaNNaNNaNNaN1147.03NaNNaNNaN3375.00NaNNaNNaNNaN287.50
COTORRA1013.40NaN576.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1440.00NaN612.00
LORICA2400.00NaNNaNNaN400.00NaNNaNNaNNaN1894.003440.0NaNNaN900.00150.00NaN34128.00NaN10350.00
MOMIL440.00122.5NaNNaN60.00NaNNaNNaNNaN110.000.0NaN4.51680.00NaNNaN198.00NaN890.00
PURISIMA110.00NaNNaNNaNNaNNaNNaNNaNNaN272.50NaNNaNNaN800.00NaNNaN85.00NaN1850.00
2018.0CHIMA205.78NaNNaNNaNNaNNaNNaNNaNNaN934.32NaNNaNNaN4652.65NaNNaNNaNNaN920.00
COTORRA1064.28NaN593.54NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1440.00NaN480.00
LORICA300.00NaNNaNNaN400.00NaNNaNNaNNaN4637.503440.0NaNNaNNaNNaNNaN34128.00NaN13500.00
MOMILNaN262.5NaNNaN60.00NaNNaNNaNNaN753.000.0NaN4.51815.02NaNNaN198.00NaN1460.00
PURISIMA115.68NaNNaNNaNNaNNaNNaNNaNNaN738.00NaNNaNNaN1839.09NaNNaN114.00NaN1918.00
2019.0CHIMANaNNaNNaNNaNNaN10.0NaNNaNNaN10920.00NaNNaN10.02400.00NaNNaN96.00NaN462.00
COTORRANaNNaNNaNNaN120.00NaNNaNNaNNaN14344.40NaNNaNNaNNaNNaNNaN504.00NaN665.00
LORICANaNNaNNaNNaN450.00NaNNaNNaNNaN11395.763200.0NaNNaN280.0071.50NaN29800.00NaN13430.00
MOMILNaN7.0NaN1.012.00NaNNaNNaNNaN207.73175.03.0010.0510.00NaN6.0399.00NaN4353.60
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaN576.00NaNNaNNaN407.00NaNNaN187.60NaN2180.00
2020.0CHIMANaNNaNNaNNaNNaN10.0NaNNaNNaN11160.42NaNNaN10.0NaNNaNNaN96.00NaN186.00
COTORRANaNNaNNaNNaN120.00NaNNaNNaNNaN16065.00NaNNaNNaNNaNNaNNaN720.00NaN660.00
LORICANaNNaNNaNNaN451.08NaNNaNNaNNaN11659.323600.0NaNNaNNaN75.00NaN29800.00NaN13260.00
MOMILNaNNaNNaNNaN14.00NaNNaNNaNNaN434.6393.01.0013.5NaNNaNNaN185.60NaN4692.00
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaN662.00NaNNaNNaNNaNNaNNaN210.00NaN3920.00
2021.0CHIMANaNNaNNaNNaNNaN10.0NaNNaN461.90936.50NaNNaN20.04320.00NaNNaN20.40NaN540.00
COTORRANaNNaNNaNNaN70.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN427.00NaN720.00
LORICANaNNaNNaNNaN490.00NaNNaNNaN1281.273132.121840.0NaNNaN350.0090.00NaN52392.00NaN10000.00
MOMILNaNNaNNaNNaN30.10NaNNaNNaNNaN421.58201.52.8524.91602.00NaNNaN231.80NaN4381.00
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaN1035.00NaNNaNNaN785.00NaNNaN225.00NaN2347.50
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "

Tabla de pivote:

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Productoarroz-secano-manualbatataberenjenacilantrococofrijolfrutales-varioshortalizas-variaslimonmaiz-blanco-tradicionalmaiz-tradicionalmangomaracuyanaranjapatillapepino-cohombroplantas-aromaticasplatanotomateyuca
AñoMunicipio
2007.0CHIMA23.00NaNNaNNaNNaN64.80NaNNaNNaNNaN937.50NaNNaNNaN5445.00NaNNaNNaNNaN2850.00
COTORRA294.00NaN28.00NaN240.00100.00NaNNaNNaNNaNNaN80.0NaN62.0NaNNaNNaN240.00480.0708.00
LORICA622.00NaNNaNNaNNaN105.00NaNNaNNaNNaN1444.00NaNNaNNaN412.00NaNNaN17210.00NaN10260.00
MOMIL18.00NaNNaNNaNNaNNaNNaNNaNNaNNaN390.00NaNNaNNaN2088.00NaNNaN108.00NaN3950.00
PURISIMA120.00NaNNaNNaNNaN18.00NaNNaNNaNNaN773.00NaNNaN85.02610.00NaNNaN270.00NaN4100.00
2008.0CHIMA36.00NaNNaNNaNNaN48.00NaNNaNNaNNaN602.50NaNNaNNaN7185.00NaNNaNNaNNaN2430.00
COTORRA301.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN95.00360.060.00
LORICA640.00NaNNaNNaNNaN144.00NaNNaNNaNNaN1650.00NaNNaNNaN348.00NaNNaN15000.00NaN13200.00
MOMIL22.80NaNNaNNaNNaNNaNNaNNaNNaNNaN623.60NaNNaN0.02190.00NaNNaN235.00NaN2570.00
PURISIMA24.00NaNNaNNaNNaN18.00NaNNaNNaNNaN1462.00NaNNaN90.03000.00NaNNaN136.00NaN700.00
2009.0CHIMA80.00NaNNaNNaNNaN31.15NaNNaNNaNNaN407.50NaNNaNNaN12450.00NaNNaNNaNNaN510.00
COTORRA480.00NaN0.00NaNNaNNaNNaNNaNNaNNaN80.00NaNNaNNaNNaNNaNNaN450.000.0480.00
LORICA588.50NaNNaNNaNNaN196.00NaNNaNNaNNaN2176.00NaNNaNNaN180.00NaNNaN13800.00NaN12000.00
MOMIL57.10NaNNaNNaN0.00NaNNaNNaN0.0NaN196.40NaNNaN59.5894.00NaNNaN88.00NaN2429.00
PURISIMA24.00NaNNaNNaNNaN18.00NaNNaNNaNNaN1040.00NaNNaN100.0115.00NaNNaN120.00NaN700.00
2010.0CHIMA119.60NaNNaNNaNNaN20.00NaNNaNNaNNaN105.00NaNNaNNaN4640.00NaNNaNNaNNaN1125.00
COTORRA200.00NaN12.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN10.0492.00
LORICA848.40NaNNaNNaNNaN169.60NaNNaNNaNNaN1681.00NaNNaNNaN33.60NaNNaN15822.00NaN12320.00
MOMIL52.50NaNNaNNaN0.00NaNNaNNaN1.0NaN354.00NaNNaN9.9547.00NaNNaN84.00NaN518.00
PURISIMA60.00NaNNaNNaNNaN22.00NaNNaNNaNNaN500.00NaNNaNNaN1730.00NaNNaN156.00NaN550.00
2011.0CHIMA125.50NaNNaNNaNNaN7.00NaNNaNNaNNaN343.50NaNNaNNaN1500.00NaNNaNNaNNaN783.00
COTORRA66.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN600.000.0600.00
LORICA1734.40NaNNaNNaNNaN0.00NaNNaNNaNNaN1806.00NaNNaNNaNNaNNaNNaN21904.00NaN17400.00
MOMIL28.00NaNNaNNaN70.00NaNNaNNaN2.0NaN732.00NaNNaN6.3158.00NaNNaN105.00NaN966.00
PURISIMA12.00NaNNaNNaNNaN12.00NaNNaNNaNNaN435.00NaNNaNNaN50.00NaNNaN120.00NaN150.00
2012.0CHIMA158.62NaNNaNNaNNaN119.47NaNNaNNaNNaN514.40NaNNaNNaN5718.88NaNNaN76.80NaN1741.60
COTORRA96.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN780.0021.0600.00
LORICA1608.40NaNNaNNaNNaN140.00NaNNaNNaNNaN1604.00NaNNaNNaNNaNNaNNaN21096.00NaN12320.00
MOMIL11.20NaNNaNNaN122.50NaNNaN11.010.0NaN341.76NaNNaN4.9904.00NaNNaN112.50NaN1090.00
PURISIMA46.00NaNNaNNaNNaN24.00NaNNaNNaNNaN550.00NaNNaNNaN80.00NaNNaN156.00NaN500.00
2013.0CHIMA268.07NaNNaNNaNNaN135.00NaNNaNNaNNaN1273.20NaNNaNNaN4368.00NaNNaN109.15NaN1893.75
COTORRA1410.00NaNNaNNaNNaNNaNNaN90.0NaNNaNNaNNaNNaNNaNNaNNaNNaN780.0030.0600.00
LORICA1170.40NaNNaNNaNNaN0.00NaNNaNNaNNaN2076.801290.0NaNNaN0.00NaNNaN30000.00NaN13200.00
MOMIL125.90NaNNaNNaN120.00NaNNaN10.010.0NaN436.72NaNNaN35.01495.00NaNNaN90.00NaN3121.63
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaNNaN640.00NaNNaNNaN4000.00NaNNaN136.00NaN3230.00
2014.0CHIMA208.80NaNNaNNaNNaN126.80NaNNaNNaNNaN564.40NaNNaNNaN1198.50NaNNaN91.00NaN1190.00
COTORRA2190.00NaNNaNNaNNaNNaNNaN90.0NaNNaNNaNNaNNaNNaNNaNNaNNaN900.0057.0648.00
LORICA900.00NaNNaNNaNNaN16.80NaNNaNNaNNaN4495.001290.0NaNNaN1920.00NaNNaN30000.00NaN12000.00
MOMIL413.00NaNNaNNaN130.00NaNNaNNaN7.0NaN292.03NaNNaN35.073.50NaNNaN120.00NaN3121.63
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaNNaN630.35NaNNaNNaN4000.00NaNNaN172.00NaN1860.00
2015.0CHIMA109.20NaNNaNNaNNaN181.00NaNNaNNaNNaN530.06NaNNaNNaN1440.00NaNNaN91.00NaN480.00
COTORRA1550.00NaNNaNNaNNaN0.00NaN35.0NaNNaNNaNNaNNaNNaNNaNNaNNaN960.0042.51120.00
LORICA900.00NaNNaNNaNNaN24.00NaNNaNNaNNaN3475.001225.5NaNNaN0.000.00NaN30000.00NaN13200.00
MOMIL231.88NaNNaNNaN130.00NaNNaN2.46.0NaN154.00NaNNaN3.00.00NaNNaN45.00NaN1316.88
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaNNaN175.00NaNNaNNaN2000.00NaNNaN62.50NaN1800.00
2016.0CHIMA114.00NaNNaNNaNNaN102.00NaNNaNNaNNaN1272.40NaNNaNNaN4200.00NaNNaN40.00NaN660.00
COTORRANaNNaNNaNNaNNaN112.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1440.0020.0840.00
LORICA700.00NaNNaNNaNNaN350.00NaNNaNNaNNaN3188.901720.0NaNNaN990.00120.00NaN34200.00NaN17400.00
MOMIL177.54105.0NaNNaN40.00NaNNaNNaN3.0NaN498.450.0NaN24.02489.000.75NaN175.00NaN3600.00
PURISIMA45.00NaNNaNNaNNaNNaNNaNNaNNaNNaN161.00NaNNaNNaN630.00NaNNaN60.00NaN1770.00
2017.0CHIMA189.00NaNNaNNaNNaN750.00NaNNaNNaNNaN1147.03NaNNaNNaN3375.00NaNNaNNaNNaN287.50
COTORRA1013.40NaN576.00NaNNaN78.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1440.00NaN612.00
LORICA2400.00NaNNaNNaN400.00360.00NaNNaNNaNNaN1894.003440.0NaNNaN900.00150.00NaN34128.00NaN10350.00
MOMIL440.00122.5NaNNaN60.00NaNNaNNaNNaNNaN110.000.0NaN4.51680.00NaNNaN198.00NaN890.00
PURISIMA110.00NaNNaNNaNNaNNaNNaNNaNNaNNaN272.50NaNNaNNaN800.00NaNNaN85.00NaN1850.00
2018.0CHIMA205.78NaNNaNNaNNaNNaNNaNNaNNaNNaN934.32NaNNaNNaN4652.65NaNNaNNaNNaN920.00
COTORRA1064.28NaN593.54NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1440.00NaN480.00
LORICA300.00NaNNaNNaN400.00NaNNaNNaNNaNNaN4637.503440.0NaNNaNNaNNaNNaN34128.00NaN13500.00
MOMILNaN262.5NaNNaN60.00NaNNaNNaNNaNNaN753.000.0NaN4.51815.02NaNNaN198.00NaN1460.00
PURISIMA115.68NaNNaNNaNNaNNaNNaNNaNNaNNaN738.00NaNNaNNaN1839.09NaNNaN114.00NaN1918.00
2019.0CHIMANaNNaNNaNNaNNaN260.8010.0NaNNaNNaN10920.00NaNNaN10.02400.00NaNNaN96.00NaN462.00
COTORRANaNNaNNaNNaN120.00190.40NaNNaNNaNNaN14344.40NaNNaNNaNNaNNaNNaN504.00NaN665.00
LORICANaNNaNNaNNaN450.00160.00NaNNaNNaNNaN11395.763200.0NaNNaN280.0071.50NaN29800.00NaN13430.00
MOMILNaN7.0NaN1.012.006.00NaNNaNNaNNaN207.73175.03.0010.0510.00NaN6.0399.00NaN4353.60
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaNNaN576.00NaNNaNNaN407.00NaNNaN187.60NaN2180.00
2020.0CHIMANaNNaNNaNNaNNaN261.7010.0NaNNaNNaN11160.42NaNNaN10.0NaNNaNNaN96.00NaN186.00
COTORRANaNNaNNaNNaN120.00192.00NaNNaNNaNNaN16065.00NaNNaNNaNNaNNaNNaN720.00NaN660.00
LORICANaNNaNNaNNaN451.08396.00NaNNaNNaNNaN11659.323600.0NaNNaNNaN75.00NaN29800.00NaN13260.00
MOMILNaNNaNNaNNaN14.00NaNNaNNaNNaNNaN434.6393.01.0013.5NaNNaNNaN185.60NaN4692.00
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaNNaN662.00NaNNaNNaNNaNNaNNaN210.00NaN3920.00
2021.0CHIMANaNNaNNaNNaNNaN205.8010.0NaNNaN461.90936.50NaNNaN20.04320.00NaNNaN20.40NaN540.00
COTORRANaNNaNNaNNaN70.00250.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN427.00NaN720.00
LORICANaNNaNNaNNaN490.00350.00NaNNaNNaN1281.273132.121840.0NaNNaN350.0090.00NaN52392.00NaN10000.00
MOMILNaNNaNNaNNaN30.10NaNNaNNaNNaNNaN421.58201.52.8524.91602.00NaNNaN231.80NaN4381.00
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1035.00NaNNaNNaN785.00NaNNaN225.00NaN2347.50
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "

Tabla de pivote:

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Productoarroz-secano-manualbatataberenjenacilantrococofrijolfrutales-varioshortalizas-variaslimonmaiz-blanco-tradicionalmaiz-tradicionalmangomaracuyanaranjapatillapepino-cohombropiñaplantas-aromaticasplatanotomateyuca
AñoMunicipio
2007.0CHIMA23.00NaNNaNNaNNaN64.80NaNNaNNaNNaN937.50NaNNaNNaN5445.00NaNNaNNaNNaNNaN2850.00
COTORRA294.00NaN28.00NaN240.00100.00NaNNaNNaNNaNNaN80.0NaN62.0NaNNaNNaNNaN240.00480.0708.00
LORICA622.00NaNNaNNaNNaN105.00NaNNaNNaNNaN1444.00NaNNaNNaN412.00NaN300.0NaN17210.00NaN10260.00
MOMIL18.00NaNNaNNaNNaNNaNNaNNaNNaNNaN390.00NaNNaNNaN2088.00NaNNaNNaN108.00NaN3950.00
PURISIMA120.00NaNNaNNaNNaN18.00NaNNaNNaNNaN773.00NaNNaN85.02610.00NaNNaNNaN270.00NaN4100.00
2008.0CHIMA36.00NaNNaNNaNNaN48.00NaNNaNNaNNaN602.50NaNNaNNaN7185.00NaNNaNNaNNaNNaN2430.00
COTORRA301.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN95.00360.060.00
LORICA640.00NaNNaNNaNNaN144.00NaNNaNNaNNaN1650.00NaNNaNNaN348.00NaN375.0NaN15000.00NaN13200.00
MOMIL22.80NaNNaNNaNNaNNaNNaNNaNNaNNaN623.60NaNNaN0.02190.00NaNNaNNaN235.00NaN2570.00
PURISIMA24.00NaNNaNNaNNaN18.00NaNNaNNaNNaN1462.00NaNNaN90.03000.00NaNNaNNaN136.00NaN700.00
2009.0CHIMA80.00NaNNaNNaNNaN31.15NaNNaNNaNNaN407.50NaNNaNNaN12450.00NaNNaNNaNNaNNaN510.00
COTORRA480.00NaN0.00NaNNaNNaNNaNNaNNaNNaN80.00NaNNaNNaNNaNNaNNaNNaN450.000.0480.00
LORICA588.50NaNNaNNaNNaN196.00NaNNaNNaNNaN2176.00NaNNaNNaN180.00NaN570.0NaN13800.00NaN12000.00
MOMIL57.10NaNNaNNaN0.00NaNNaNNaN0.0NaN196.40NaNNaN59.5894.00NaNNaNNaN88.00NaN2429.00
PURISIMA24.00NaNNaNNaNNaN18.00NaNNaNNaNNaN1040.00NaNNaN100.0115.00NaNNaNNaN120.00NaN700.00
2010.0CHIMA119.60NaNNaNNaNNaN20.00NaNNaNNaNNaN105.00NaNNaNNaN4640.00NaNNaNNaNNaNNaN1125.00
COTORRA200.00NaN12.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN10.0492.00
LORICA848.40NaNNaNNaNNaN169.60NaNNaNNaNNaN1681.00NaNNaNNaN33.60NaN240.0NaN15822.00NaN12320.00
MOMIL52.50NaNNaNNaN0.00NaNNaNNaN1.0NaN354.00NaNNaN9.9547.00NaNNaNNaN84.00NaN518.00
PURISIMA60.00NaNNaNNaNNaN22.00NaNNaNNaNNaN500.00NaNNaNNaN1730.00NaNNaNNaN156.00NaN550.00
2011.0CHIMA125.50NaNNaNNaNNaN7.00NaNNaNNaNNaN343.50NaNNaNNaN1500.00NaNNaNNaNNaNNaN783.00
COTORRA66.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN600.000.0600.00
LORICA1734.40NaNNaNNaNNaN0.00NaNNaNNaNNaN1806.00NaNNaNNaNNaNNaN210.0NaN21904.00NaN17400.00
MOMIL28.00NaNNaNNaN70.00NaNNaNNaN2.0NaN732.00NaNNaN6.3158.00NaNNaNNaN105.00NaN966.00
PURISIMA12.00NaNNaNNaNNaN12.00NaNNaNNaNNaN435.00NaNNaNNaN50.00NaNNaNNaN120.00NaN150.00
2012.0CHIMA158.62NaNNaNNaNNaN119.47NaNNaNNaNNaN514.40NaNNaNNaN5718.88NaNNaNNaN76.80NaN1741.60
COTORRA96.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN780.0021.0600.00
LORICA1608.40NaNNaNNaNNaN140.00NaNNaNNaNNaN1604.00NaNNaNNaNNaNNaN240.0NaN21096.00NaN12320.00
MOMIL11.20NaNNaNNaN122.50NaNNaN11.010.0NaN341.76NaNNaN4.9904.00NaN22.5NaN112.50NaN1090.00
PURISIMA46.00NaNNaNNaNNaN24.00NaNNaNNaNNaN550.00NaNNaNNaN80.00NaNNaNNaN156.00NaN500.00
2013.0CHIMA268.07NaNNaNNaNNaN135.00NaNNaNNaNNaN1273.20NaNNaNNaN4368.00NaNNaNNaN109.15NaN1893.75
COTORRA1410.00NaNNaNNaNNaNNaNNaN90.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN780.0030.0600.00
LORICA1170.40NaNNaNNaNNaN0.00NaNNaNNaNNaN2076.801290.0NaNNaN0.00NaN300.0NaN30000.00NaN13200.00
MOMIL125.90NaNNaNNaN120.00NaNNaN10.010.0NaN436.72NaNNaN35.01495.00NaN0.0NaN90.00NaN3121.63
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaNNaN640.00NaNNaNNaN4000.00NaNNaNNaN136.00NaN3230.00
2014.0CHIMA208.80NaNNaNNaNNaN126.80NaNNaNNaNNaN564.40NaNNaNNaN1198.50NaNNaNNaN91.00NaN1190.00
COTORRA2190.00NaNNaNNaNNaNNaNNaN90.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN900.0057.0648.00
LORICA900.00NaNNaNNaNNaN16.80NaNNaNNaNNaN4495.001290.0NaNNaN1920.00NaNNaNNaN30000.00NaN12000.00
MOMIL413.00NaNNaNNaN130.00NaNNaNNaN7.0NaN292.03NaNNaN35.073.50NaNNaNNaN120.00NaN3121.63
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaNNaN630.35NaNNaNNaN4000.00NaNNaNNaN172.00NaN1860.00
2015.0CHIMA109.20NaNNaNNaNNaN181.00NaNNaNNaNNaN530.06NaNNaNNaN1440.00NaN0.0NaN91.00NaN480.00
COTORRA1550.00NaNNaNNaNNaN0.00NaN35.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN960.0042.51120.00
LORICA900.00NaNNaNNaNNaN24.00NaNNaNNaNNaN3475.001225.5NaNNaN0.000.00NaNNaN30000.00NaN13200.00
MOMIL231.88NaNNaNNaN130.00NaNNaN2.46.0NaN154.00NaNNaN3.00.00NaNNaNNaN45.00NaN1316.88
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaNNaN175.00NaNNaNNaN2000.00NaNNaNNaN62.50NaN1800.00
2016.0CHIMA114.00NaNNaNNaNNaN102.00NaNNaNNaNNaN1272.40NaNNaNNaN4200.00NaN0.0NaN40.00NaN660.00
COTORRANaNNaNNaNNaNNaN112.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1440.0020.0840.00
LORICA700.00NaNNaNNaNNaN350.00NaNNaNNaNNaN3188.901720.0NaNNaN990.00120.00NaNNaN34200.00NaN17400.00
MOMIL177.54105.0NaNNaN40.00NaNNaNNaN3.0NaN498.450.0NaN24.02489.000.75NaNNaN175.00NaN3600.00
PURISIMA45.00NaNNaNNaNNaNNaNNaNNaNNaNNaN161.00NaNNaNNaN630.00NaNNaNNaN60.00NaN1770.00
2017.0CHIMA189.00NaNNaNNaNNaN750.00NaNNaNNaNNaN1147.03NaNNaNNaN3375.00NaN120.0NaNNaNNaN287.50
COTORRA1013.40NaN576.00NaNNaN78.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1440.00NaN612.00
LORICA2400.00NaNNaNNaN400.00360.00NaNNaNNaNNaN1894.003440.0NaNNaN900.00150.00NaNNaN34128.00NaN10350.00
MOMIL440.00122.5NaNNaN60.00NaNNaNNaNNaNNaN110.000.0NaN4.51680.00NaNNaNNaN198.00NaN890.00
PURISIMA110.00NaNNaNNaNNaNNaNNaNNaNNaNNaN272.50NaNNaNNaN800.00NaNNaNNaN85.00NaN1850.00
2018.0CHIMA205.78NaNNaNNaNNaNNaNNaNNaNNaNNaN934.32NaNNaNNaN4652.65NaN150.0NaNNaNNaN920.00
COTORRA1064.28NaN593.54NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1440.00NaN480.00
LORICA300.00NaNNaNNaN400.00NaNNaNNaNNaNNaN4637.503440.0NaNNaNNaNNaNNaNNaN34128.00NaN13500.00
MOMILNaN262.5NaNNaN60.00NaNNaNNaNNaNNaN753.000.0NaN4.51815.02NaNNaNNaN198.00NaN1460.00
PURISIMA115.68NaNNaNNaNNaNNaNNaNNaNNaNNaN738.00NaNNaNNaN1839.09NaNNaNNaN114.00NaN1918.00
2019.0CHIMANaNNaNNaNNaNNaN260.8010.0NaNNaNNaN10920.00NaNNaN10.02400.00NaNNaNNaN96.00NaN462.00
COTORRANaNNaNNaNNaN120.00190.40NaNNaNNaNNaN14344.40NaNNaNNaNNaNNaNNaNNaN504.00NaN665.00
LORICANaNNaNNaNNaN450.00160.00NaNNaNNaNNaN11395.763200.0NaNNaN280.0071.50NaNNaN29800.00NaN13430.00
MOMILNaN7.0NaN1.012.006.00NaNNaNNaNNaN207.73175.03.0010.0510.00NaNNaN6.0399.00NaN4353.60
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaNNaN576.00NaNNaNNaN407.00NaNNaNNaN187.60NaN2180.00
2020.0CHIMANaNNaNNaNNaNNaN261.7010.0NaNNaNNaN11160.42NaNNaN10.0NaNNaNNaNNaN96.00NaN186.00
COTORRANaNNaNNaNNaN120.00192.00NaNNaNNaNNaN16065.00NaNNaNNaNNaNNaNNaNNaN720.00NaN660.00
LORICANaNNaNNaNNaN451.08396.00NaNNaNNaNNaN11659.323600.0NaNNaNNaN75.00NaNNaN29800.00NaN13260.00
MOMILNaNNaNNaNNaN14.00NaNNaNNaNNaNNaN434.6393.01.0013.5NaNNaNNaNNaN185.60NaN4692.00
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaNNaN662.00NaNNaNNaNNaNNaNNaNNaN210.00NaN3920.00
2021.0CHIMANaNNaNNaNNaNNaN205.8010.0NaNNaN461.90936.50NaNNaN20.04320.00NaNNaNNaN20.40NaN540.00
COTORRANaNNaNNaNNaN70.00250.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN427.00NaN720.00
LORICANaNNaNNaNNaN490.00350.00NaNNaNNaN1281.273132.121840.0NaNNaN350.0090.00NaNNaN52392.00NaN10000.00
MOMILNaNNaNNaNNaN30.10NaNNaNNaNNaNNaN421.58201.52.8524.91602.00NaNNaNNaN231.80NaN4381.00
PURISIMANaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1035.00NaNNaNNaN785.00NaNNaNNaN225.00NaN2347.50
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import os\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import ipywidgets as widgets\n", "from IPython.display import display, HTML\n", "\n", "# Directorio que contiene los archivos CSV\n", "directory = \"./\"\n", "\n", "# Obtener la lista de archivos CSV en el directorio\n", "csv_files = [file for file in os.listdir(directory) if file.endswith(\".csv\")]\n", "\n", "# Verificar si hay archivos CSV en el directorio\n", "if len(csv_files) == 0:\n", " print(\"No se encontraron archivos CSV en el directorio especificado.\")\n", " exit()\n", "\n", "# Cargar los datos de los archivos CSV en un DataFrame\n", "dfs = []\n", "\n", "for file in csv_files:\n", " file_path = os.path.join(directory, file)\n", " try:\n", " df = pd.read_csv(file_path)\n", " # Agregar la columna \"Producto\" con el nombre del archivo sin extensión\n", " df[\"Producto\"] = os.path.splitext(file)[0]\n", " dfs.append(df)\n", " except pd.errors.EmptyDataError:\n", " print(f\"El archivo {file} está vacío y no se puede cargar.\")\n", "\n", "# Verificar si se cargaron datos en el DataFrame\n", "if len(dfs) == 0:\n", " print(\"No se pudo cargar ningún archivo CSV con datos.\")\n", " exit()\n", "\n", "# Concatenar los DataFrames en uno solo\n", "data = pd.concat(dfs)\n", "\n", "# Mostrar los campos disponibles\n", "fields = data.columns\n", "print(\"Campos disponibles:\")\n", "print(fields)\n", "\n", "# Obtener la lista de productos\n", "product_list = data[\"Producto\"].unique()\n", "\n", "# Crear las listas desplegables para seleccionar las variables y el tipo de gráfico\n", "variable_dropdown = widgets.Dropdown(options=[\"Area Sembrada\", \"Area Cosechada\", \"Produccion (ton)\", \"Rendimiento (ha/ton)\"], description=\"Variable:\")\n", "product_dropdown = widgets.SelectMultiple(options=product_list, description=\"Productos:\")\n", "chart_type_dropdown = widgets.Dropdown(options=[\"bar\", \"line\", \"scatter\"], description=\"Tipo de gráfico:\")\n", "\n", "# Función para generar y mostrar el gráfico seleccionado\n", "def generate_chart(change):\n", " variable = variable_dropdown.value\n", " chart_type = chart_type_dropdown.value\n", " products_selected = product_dropdown.value\n", " \n", " # Filtrar el DataFrame por los productos seleccionados\n", " filtered_data = data[data[\"Producto\"].isin(products_selected)]\n", " \n", " # Crear la tabla de pivote\n", " pivot_table = pd.pivot_table(filtered_data, values=variable, index=[\"Año\", \"Municipio\"], columns=\"Producto\")\n", " \n", " # Mostrar la tabla de pivote\n", " table_html = pivot_table.to_html()\n", " display(HTML(f\"

Tabla de pivote:

{table_html}\"))\n", " \n", " # Crear la gráfica\n", " chart_title = f\"Gráfico de {chart_type} de {variable} por Año y Municipio\" # Título de la gráfica\n", " \n", " try:\n", " if chart_type == \"bar\":\n", " pivot_table.plot(kind=chart_type, figsize=(10, 6))\n", " elif chart_type == \"line\":\n", " pivot_table.plot(kind=chart_type, figsize=(10, 6), marker=\"o\")\n", " elif chart_type == \"scatter\":\n", " pivot_table.plot(kind=chart_type, figsize=(10, 6), marker=\"o\")\n", " plt.title(chart_title)\n", " plt.xlabel(\"Año, Municipio\")\n", " plt.ylabel(variable)\n", " plt.show()\n", " except ValueError as e:\n", " print(f\"No se pudo generar la gráfica. Error: {str(e)}\")\n", "\n", "# Asignar la función de generación de gráfico al evento \"change\" de las listas desplegables\n", "variable_dropdown.observe(generate_chart, 'value')\n", "product_dropdown.observe(generate_chart, 'value')\n", "chart_type_dropdown.observe(generate_chart, 'value')\n", "\n", "# Mostrar las listas desplegables\n", "display(variable_dropdown, product_dropdown, chart_type_dropdown)\n" ] }, { "cell_type": "code", "execution_count": null, "id": "5d4d2533", "metadata": {}, "outputs": [], "source": [ "## El mismo anterior pero agrupados por colores" ] }, { "cell_type": "code", "execution_count": 3, "id": "d90915a2", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Campos disponibles:\n", "Index(['Año', 'Municipio', 'Area Sembrada', 'Area Cosechada',\n", " 'Produccion (ton)', 'Rendimiento (ha/ton)', 'Producto'],\n", " dtype='object')\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "9e45b73fd9bb4e3989a01ebba31f1b13", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Dropdown(description='Variable:', options=('Area Sembrada', 'Area Cosechada', 'Produccion (ton)', 'Rendimiento…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "1125bf7286bb4c0a929d5d87754ab135", "version_major": 2, "version_minor": 0 }, "text/plain": [ "SelectMultiple(description='Productos:', options=('yuca', 'maiz-blanco-tecnificado', 'pepino-cohombro', 'arroz…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "ff2d48b214594dd5b0c4fd09331c79e8", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Dropdown(description='Tipo de gráfico:', options=('bar', 'line', 'scatter'), value='bar')" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Tabla de pivote:\n", "Empty DataFrame\n", "Columns: []\n", "Index: []\n" ] }, { "ename": "TypeError", "evalue": "no numeric data to plot", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget.py:773\u001b[0m, in \u001b[0;36mWidget._handle_msg\u001b[0;34m(self, msg)\u001b[0m\n\u001b[1;32m 771\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbuffer_paths\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;129;01min\u001b[39;00m data:\n\u001b[1;32m 772\u001b[0m _put_buffers(state, data[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbuffer_paths\u001b[39m\u001b[38;5;124m'\u001b[39m], msg[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbuffers\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[0;32m--> 773\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset_state\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstate\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 775\u001b[0m \u001b[38;5;66;03m# Handle a state request.\u001b[39;00m\n\u001b[1;32m 776\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m method \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrequest_state\u001b[39m\u001b[38;5;124m'\u001b[39m:\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget.py:650\u001b[0m, in \u001b[0;36mWidget.set_state\u001b[0;34m(self, sync_data)\u001b[0m\n\u001b[1;32m 645\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_send(msg, buffers\u001b[38;5;241m=\u001b[39mecho_buffers)\n\u001b[1;32m 647\u001b[0m \u001b[38;5;66;03m# The order of these context managers is important. Properties must\u001b[39;00m\n\u001b[1;32m 648\u001b[0m \u001b[38;5;66;03m# be locked when the hold_trait_notification context manager is\u001b[39;00m\n\u001b[1;32m 649\u001b[0m \u001b[38;5;66;03m# released and notifications are fired.\u001b[39;00m\n\u001b[0;32m--> 650\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_lock_property(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39msync_data), \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhold_trait_notifications():\n\u001b[1;32m 651\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m sync_data:\n\u001b[1;32m 652\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mkeys:\n", "File \u001b[0;32m/usr/lib/python3.10/contextlib.py:142\u001b[0m, in \u001b[0;36m_GeneratorContextManager.__exit__\u001b[0;34m(self, typ, value, traceback)\u001b[0m\n\u001b[1;32m 140\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m typ \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 141\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 142\u001b[0m \u001b[38;5;28;43mnext\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgen\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 143\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mStopIteration\u001b[39;00m:\n\u001b[1;32m 144\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mFalse\u001b[39;00m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1502\u001b[0m, in \u001b[0;36mHasTraits.hold_trait_notifications\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1500\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m changes \u001b[38;5;129;01min\u001b[39;00m cache\u001b[38;5;241m.\u001b[39mvalues():\n\u001b[1;32m 1501\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m change \u001b[38;5;129;01min\u001b[39;00m changes:\n\u001b[0;32m-> 1502\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnotify_change\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget.py:701\u001b[0m, in \u001b[0;36mWidget.notify_change\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 698\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mkeys \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_should_send_property(name, \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, name)):\n\u001b[1;32m 699\u001b[0m \u001b[38;5;66;03m# Send new state to front-end\u001b[39;00m\n\u001b[1;32m 700\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msend_state(key\u001b[38;5;241m=\u001b[39mname)\n\u001b[0;32m--> 701\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnotify_change\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1517\u001b[0m, in \u001b[0;36mHasTraits.notify_change\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 1515\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mnotify_change\u001b[39m(\u001b[38;5;28mself\u001b[39m, change):\n\u001b[1;32m 1516\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Notify observers of a change event\"\"\"\u001b[39;00m\n\u001b[0;32m-> 1517\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_notify_observers\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1564\u001b[0m, in \u001b[0;36mHasTraits._notify_observers\u001b[0;34m(self, event)\u001b[0m\n\u001b[1;32m 1561\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(c, EventHandler) \u001b[38;5;129;01mand\u001b[39;00m c\u001b[38;5;241m.\u001b[39mname \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 1562\u001b[0m c \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, c\u001b[38;5;241m.\u001b[39mname)\n\u001b[0;32m-> 1564\u001b[0m \u001b[43mc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mevent\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget_selection.py:236\u001b[0m, in \u001b[0;36m_Selection._propagate_index\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 234\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlabel \u001b[38;5;241m=\u001b[39m label\n\u001b[1;32m 235\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mvalue \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m value:\n\u001b[0;32m--> 236\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalue\u001b[49m \u001b[38;5;241m=\u001b[39m value\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:732\u001b[0m, in \u001b[0;36mTraitType.__set__\u001b[0;34m(self, obj, value)\u001b[0m\n\u001b[1;32m 730\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m TraitError(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mThe \u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m trait is read-only.\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;241m%\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mname)\n\u001b[1;32m 731\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 732\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvalue\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:721\u001b[0m, in \u001b[0;36mTraitType.set\u001b[0;34m(self, obj, value)\u001b[0m\n\u001b[1;32m 717\u001b[0m silent \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m 718\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m silent \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[1;32m 719\u001b[0m \u001b[38;5;66;03m# we explicitly compare silent to True just in case the equality\u001b[39;00m\n\u001b[1;32m 720\u001b[0m \u001b[38;5;66;03m# comparison above returns something other than True/False\u001b[39;00m\n\u001b[0;32m--> 721\u001b[0m \u001b[43mobj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_notify_trait\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mold_value\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnew_value\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1505\u001b[0m, in \u001b[0;36mHasTraits._notify_trait\u001b[0;34m(self, name, old_value, new_value)\u001b[0m\n\u001b[1;32m 1504\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_notify_trait\u001b[39m(\u001b[38;5;28mself\u001b[39m, name, old_value, new_value):\n\u001b[0;32m-> 1505\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnotify_change\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1506\u001b[0m \u001b[43m \u001b[49m\u001b[43mBunch\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1507\u001b[0m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1508\u001b[0m \u001b[43m \u001b[49m\u001b[43mold\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mold_value\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1509\u001b[0m \u001b[43m \u001b[49m\u001b[43mnew\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnew_value\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1510\u001b[0m \u001b[43m \u001b[49m\u001b[43mowner\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1511\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mtype\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mchange\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1512\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1513\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget.py:701\u001b[0m, in \u001b[0;36mWidget.notify_change\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 698\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mkeys \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_should_send_property(name, \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, name)):\n\u001b[1;32m 699\u001b[0m \u001b[38;5;66;03m# Send new state to front-end\u001b[39;00m\n\u001b[1;32m 700\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msend_state(key\u001b[38;5;241m=\u001b[39mname)\n\u001b[0;32m--> 701\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnotify_change\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1517\u001b[0m, in \u001b[0;36mHasTraits.notify_change\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 1515\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mnotify_change\u001b[39m(\u001b[38;5;28mself\u001b[39m, change):\n\u001b[1;32m 1516\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Notify observers of a change event\"\"\"\u001b[39;00m\n\u001b[0;32m-> 1517\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_notify_observers\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1564\u001b[0m, in \u001b[0;36mHasTraits._notify_observers\u001b[0;34m(self, event)\u001b[0m\n\u001b[1;32m 1561\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(c, EventHandler) \u001b[38;5;129;01mand\u001b[39;00m c\u001b[38;5;241m.\u001b[39mname \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 1562\u001b[0m c \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, c\u001b[38;5;241m.\u001b[39mname)\n\u001b[0;32m-> 1564\u001b[0m \u001b[43mc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mevent\u001b[49m\u001b[43m)\u001b[49m\n", "Cell \u001b[0;32mIn[3], line 73\u001b[0m, in \u001b[0;36mgenerate_chart\u001b[0;34m(change)\u001b[0m\n\u001b[1;32m 71\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 72\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m chart_type \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbar\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m---> 73\u001b[0m \u001b[43mpivot_table\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mplot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkind\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mchart_type\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfigsize\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m10\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m6\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 74\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m chart_type \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mline\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 75\u001b[0m pivot_table\u001b[38;5;241m.\u001b[39mplot(kind\u001b[38;5;241m=\u001b[39mchart_type, figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m10\u001b[39m, \u001b[38;5;241m6\u001b[39m), marker\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mo\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/plotting/_core.py:975\u001b[0m, in \u001b[0;36mPlotAccessor.__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 972\u001b[0m label_name \u001b[38;5;241m=\u001b[39m label_kw \u001b[38;5;129;01mor\u001b[39;00m data\u001b[38;5;241m.\u001b[39mcolumns\n\u001b[1;32m 973\u001b[0m data\u001b[38;5;241m.\u001b[39mcolumns \u001b[38;5;241m=\u001b[39m label_name\n\u001b[0;32m--> 975\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mplot_backend\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mplot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkind\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mkind\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/plotting/_matplotlib/__init__.py:71\u001b[0m, in \u001b[0;36mplot\u001b[0;34m(data, kind, **kwargs)\u001b[0m\n\u001b[1;32m 69\u001b[0m kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124max\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(ax, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mleft_ax\u001b[39m\u001b[38;5;124m\"\u001b[39m, ax)\n\u001b[1;32m 70\u001b[0m plot_obj \u001b[38;5;241m=\u001b[39m PLOT_CLASSES[kind](data, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m---> 71\u001b[0m \u001b[43mplot_obj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgenerate\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 72\u001b[0m plot_obj\u001b[38;5;241m.\u001b[39mdraw()\n\u001b[1;32m 73\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m plot_obj\u001b[38;5;241m.\u001b[39mresult\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/plotting/_matplotlib/core.py:446\u001b[0m, in \u001b[0;36mMPLPlot.generate\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 444\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mgenerate\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 445\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_args_adjust()\n\u001b[0;32m--> 446\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_compute_plot_data\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 447\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_setup_subplots()\n\u001b[1;32m 448\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_make_plot()\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/plotting/_matplotlib/core.py:632\u001b[0m, in \u001b[0;36mMPLPlot._compute_plot_data\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 630\u001b[0m \u001b[38;5;66;03m# no non-numeric frames or series allowed\u001b[39;00m\n\u001b[1;32m 631\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_empty:\n\u001b[0;32m--> 632\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mno numeric data to plot\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 634\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata \u001b[38;5;241m=\u001b[39m numeric_data\u001b[38;5;241m.\u001b[39mapply(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_convert_to_ndarray)\n", "\u001b[0;31mTypeError\u001b[0m: no numeric data to plot" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Tabla de pivote:\n", "Producto pepino-cohombro\n", "Año Municipio \n", "2015.0 LORICA 0.00\n", "2016.0 LORICA 120.00\n", " MOMIL 0.75\n", "2017.0 LORICA 150.00\n", "2019.0 LORICA 71.50\n", "2020.0 LORICA 75.00\n", "2021.0 LORICA 90.00\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import os\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import ipywidgets as widgets\n", "from IPython.display import display\n", "\n", "# Directorio que contiene los archivos CSV\n", "directory = \"./\"\n", "\n", "# Obtener la lista de archivos CSV en el directorio\n", "csv_files = [file for file in os.listdir(directory) if file.endswith(\".csv\")]\n", "\n", "# Verificar si hay archivos CSV en el directorio\n", "if len(csv_files) == 0:\n", " print(\"No se encontraron archivos CSV en el directorio especificado.\")\n", " exit()\n", "\n", "# Cargar los datos de los archivos CSV en un DataFrame\n", "dfs = []\n", "\n", "for file in csv_files:\n", " file_path = os.path.join(directory, file)\n", " try:\n", " df = pd.read_csv(file_path)\n", " # Agregar la columna \"Producto\" con el nombre del archivo sin extensión\n", " df[\"Producto\"] = os.path.splitext(file)[0]\n", " dfs.append(df)\n", " except pd.errors.EmptyDataError:\n", " print(f\"El archivo {file} está vacío y no se puede cargar.\")\n", "\n", "# Verificar si se cargaron datos en el DataFrame\n", "if len(dfs) == 0:\n", " print(\"No se pudo cargar ningún archivo CSV con datos.\")\n", " exit()\n", "\n", "# Concatenar los DataFrames en uno solo\n", "data = pd.concat(dfs)\n", "\n", "# Mostrar los campos disponibles\n", "fields = data.columns\n", "print(\"Campos disponibles:\")\n", "print(fields)\n", "\n", "# Obtener la lista de productos\n", "product_list = data[\"Producto\"].unique()\n", "\n", "# Crear las listas desplegables para seleccionar las variables y el tipo de gráfico\n", "variable_dropdown = widgets.Dropdown(options=[\"Area Sembrada\", \"Area Cosechada\", \"Produccion (ton)\", \"Rendimiento (ha/ton)\"], description=\"Variable:\")\n", "product_dropdown = widgets.SelectMultiple(options=product_list, description=\"Productos:\")\n", "chart_type_dropdown = widgets.Dropdown(options=[\"bar\", \"line\", \"scatter\"], description=\"Tipo de gráfico:\")\n", "\n", "# Función para generar y mostrar el gráfico seleccionado\n", "def generate_chart(change):\n", " variable = variable_dropdown.value\n", " chart_type = chart_type_dropdown.value\n", " products_selected = product_dropdown.value\n", " \n", " # Filtrar el DataFrame por los productos seleccionados\n", " filtered_data = data[data[\"Producto\"].isin(products_selected)]\n", " \n", " # Crear la tabla de pivote\n", " pivot_table = pd.pivot_table(filtered_data, values=variable, index=[\"Año\", \"Municipio\"], columns=\"Producto\")\n", " \n", " # Mostrar la tabla de pivote\n", " print(\"Tabla de pivote:\")\n", " print(pivot_table)\n", " \n", " # Crear la gráfica\n", " chart_title = f\"Gráfico de {chart_type} de {variable} por Año y Municipio\" # Título de la gráfica\n", " \n", " try:\n", " if chart_type == \"bar\":\n", " pivot_table.plot(kind=chart_type, figsize=(10, 6))\n", " elif chart_type == \"line\":\n", " pivot_table.plot(kind=chart_type, figsize=(10, 6), marker=\"o\")\n", " elif chart_type == \"scatter\":\n", " pivot_table.plot(kind=chart_type, figsize=(10, 6), marker=\"o\")\n", " \n", " plt.title(chart_title)\n", " plt.xlabel(\"Año\")\n", " plt.ylabel(variable)\n", " plt.legend(loc='upper right', title=\"Municipio\")\n", " plt.show()\n", " except ValueError as e:\n", " print(f\"No se pudo generar la gráfica. Error: {str(e)}\")\n", "\n", "# Asignar la función de generación de gráfico al evento \"change\" de las listas desplegables\n", "variable_dropdown.observe(generate_chart, 'value')\n", "product_dropdown.observe(generate_chart, 'value')\n", "chart_type_dropdown.observe(generate_chart, 'value')\n", "\n", "# Mostrar las listas desplegables\n", "display(variable_dropdown, product_dropdown, chart_type_dropdown)\n" ] }, { "cell_type": "markdown", "id": "f088cc1d", "metadata": {}, "source": [ "# Afinando listas desplegables para elegir el index" ] }, { "cell_type": "code", "execution_count": 5, "id": "e7df1560", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Campos disponibles:\n", "Index(['Año', 'Municipio', 'Area Sembrada', 'Area Cosechada',\n", " 'Produccion (ton)', 'Rendimiento (ha/ton)', 'Producto'],\n", " dtype='object')\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "42873fd77bb9475ca6a3a0cc40675333", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Dropdown(description='Variable 1:', options=('Año', 'Municipio', 'Area Sembrada', 'Area Cosechada', 'Produccio…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "e10fa95b033e444193b55315ddf68c13", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Dropdown(description='Variable 2:', options=('Año', 'Municipio', 'Area Sembrada', 'Area Cosechada', 'Produccio…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "1b4151668f2d48e78445d63898b79c06", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Dropdown(description='Tipo de gráfico:', options=('bar', 'line', 'scatter', 'area', 'pie', 'histogram', 'box',…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "1db0163ea0a14cf7b6e665d6504aaefa", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Dropdown(description='Valores:', options=('Año', 'Municipio', 'Area Sembrada', 'Area Cosechada', 'Produccion (…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "450aa811a37443299ff88a0352901fad", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Dropdown(description='Índice:', options=('Variable 1:', 'Variable 2:'), value='Variable 1:')" ] }, "metadata": {}, "output_type": "display_data" }, { "ename": "KeyError", "evalue": "'Variable 1:'", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget.py:773\u001b[0m, in \u001b[0;36mWidget._handle_msg\u001b[0;34m(self, msg)\u001b[0m\n\u001b[1;32m 771\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbuffer_paths\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;129;01min\u001b[39;00m data:\n\u001b[1;32m 772\u001b[0m _put_buffers(state, data[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbuffer_paths\u001b[39m\u001b[38;5;124m'\u001b[39m], msg[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbuffers\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[0;32m--> 773\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset_state\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstate\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 775\u001b[0m \u001b[38;5;66;03m# Handle a state request.\u001b[39;00m\n\u001b[1;32m 776\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m method \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrequest_state\u001b[39m\u001b[38;5;124m'\u001b[39m:\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget.py:650\u001b[0m, in \u001b[0;36mWidget.set_state\u001b[0;34m(self, sync_data)\u001b[0m\n\u001b[1;32m 645\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_send(msg, buffers\u001b[38;5;241m=\u001b[39mecho_buffers)\n\u001b[1;32m 647\u001b[0m \u001b[38;5;66;03m# The order of these context managers is important. Properties must\u001b[39;00m\n\u001b[1;32m 648\u001b[0m \u001b[38;5;66;03m# be locked when the hold_trait_notification context manager is\u001b[39;00m\n\u001b[1;32m 649\u001b[0m \u001b[38;5;66;03m# released and notifications are fired.\u001b[39;00m\n\u001b[0;32m--> 650\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_lock_property(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39msync_data), \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhold_trait_notifications():\n\u001b[1;32m 651\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m sync_data:\n\u001b[1;32m 652\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mkeys:\n", "File \u001b[0;32m/usr/lib/python3.10/contextlib.py:142\u001b[0m, in \u001b[0;36m_GeneratorContextManager.__exit__\u001b[0;34m(self, typ, value, traceback)\u001b[0m\n\u001b[1;32m 140\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m typ \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 141\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 142\u001b[0m \u001b[38;5;28;43mnext\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgen\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 143\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mStopIteration\u001b[39;00m:\n\u001b[1;32m 144\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mFalse\u001b[39;00m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1502\u001b[0m, in \u001b[0;36mHasTraits.hold_trait_notifications\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1500\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m changes \u001b[38;5;129;01min\u001b[39;00m cache\u001b[38;5;241m.\u001b[39mvalues():\n\u001b[1;32m 1501\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m change \u001b[38;5;129;01min\u001b[39;00m changes:\n\u001b[0;32m-> 1502\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnotify_change\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget.py:701\u001b[0m, in \u001b[0;36mWidget.notify_change\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 698\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mkeys \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_should_send_property(name, \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, name)):\n\u001b[1;32m 699\u001b[0m \u001b[38;5;66;03m# Send new state to front-end\u001b[39;00m\n\u001b[1;32m 700\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msend_state(key\u001b[38;5;241m=\u001b[39mname)\n\u001b[0;32m--> 701\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnotify_change\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1517\u001b[0m, in \u001b[0;36mHasTraits.notify_change\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 1515\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mnotify_change\u001b[39m(\u001b[38;5;28mself\u001b[39m, change):\n\u001b[1;32m 1516\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Notify observers of a change event\"\"\"\u001b[39;00m\n\u001b[0;32m-> 1517\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_notify_observers\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1564\u001b[0m, in \u001b[0;36mHasTraits._notify_observers\u001b[0;34m(self, event)\u001b[0m\n\u001b[1;32m 1561\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(c, EventHandler) \u001b[38;5;129;01mand\u001b[39;00m c\u001b[38;5;241m.\u001b[39mname \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 1562\u001b[0m c \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, c\u001b[38;5;241m.\u001b[39mname)\n\u001b[0;32m-> 1564\u001b[0m \u001b[43mc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mevent\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget_selection.py:236\u001b[0m, in \u001b[0;36m_Selection._propagate_index\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 234\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlabel \u001b[38;5;241m=\u001b[39m label\n\u001b[1;32m 235\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mvalue \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m value:\n\u001b[0;32m--> 236\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalue\u001b[49m \u001b[38;5;241m=\u001b[39m value\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:732\u001b[0m, in \u001b[0;36mTraitType.__set__\u001b[0;34m(self, obj, value)\u001b[0m\n\u001b[1;32m 730\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m TraitError(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mThe \u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m trait is read-only.\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;241m%\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mname)\n\u001b[1;32m 731\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 732\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvalue\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:721\u001b[0m, in \u001b[0;36mTraitType.set\u001b[0;34m(self, obj, value)\u001b[0m\n\u001b[1;32m 717\u001b[0m silent \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m 718\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m silent \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[1;32m 719\u001b[0m \u001b[38;5;66;03m# we explicitly compare silent to True just in case the equality\u001b[39;00m\n\u001b[1;32m 720\u001b[0m \u001b[38;5;66;03m# comparison above returns something other than True/False\u001b[39;00m\n\u001b[0;32m--> 721\u001b[0m \u001b[43mobj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_notify_trait\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mold_value\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnew_value\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1505\u001b[0m, in \u001b[0;36mHasTraits._notify_trait\u001b[0;34m(self, name, old_value, new_value)\u001b[0m\n\u001b[1;32m 1504\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_notify_trait\u001b[39m(\u001b[38;5;28mself\u001b[39m, name, old_value, new_value):\n\u001b[0;32m-> 1505\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnotify_change\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1506\u001b[0m \u001b[43m \u001b[49m\u001b[43mBunch\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1507\u001b[0m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1508\u001b[0m \u001b[43m \u001b[49m\u001b[43mold\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mold_value\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1509\u001b[0m \u001b[43m \u001b[49m\u001b[43mnew\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnew_value\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1510\u001b[0m \u001b[43m \u001b[49m\u001b[43mowner\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1511\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mtype\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mchange\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1512\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1513\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget.py:701\u001b[0m, in \u001b[0;36mWidget.notify_change\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 698\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mkeys \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_should_send_property(name, \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, name)):\n\u001b[1;32m 699\u001b[0m \u001b[38;5;66;03m# Send new state to front-end\u001b[39;00m\n\u001b[1;32m 700\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msend_state(key\u001b[38;5;241m=\u001b[39mname)\n\u001b[0;32m--> 701\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnotify_change\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1517\u001b[0m, in \u001b[0;36mHasTraits.notify_change\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 1515\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mnotify_change\u001b[39m(\u001b[38;5;28mself\u001b[39m, change):\n\u001b[1;32m 1516\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Notify observers of a change event\"\"\"\u001b[39;00m\n\u001b[0;32m-> 1517\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_notify_observers\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1564\u001b[0m, in \u001b[0;36mHasTraits._notify_observers\u001b[0;34m(self, event)\u001b[0m\n\u001b[1;32m 1561\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(c, EventHandler) \u001b[38;5;129;01mand\u001b[39;00m c\u001b[38;5;241m.\u001b[39mname \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 1562\u001b[0m c \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, c\u001b[38;5;241m.\u001b[39mname)\n\u001b[0;32m-> 1564\u001b[0m \u001b[43mc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mevent\u001b[49m\u001b[43m)\u001b[49m\n", "Cell \u001b[0;32mIn[5], line 63\u001b[0m, in \u001b[0;36mgenerate_chart\u001b[0;34m(change)\u001b[0m\n\u001b[1;32m 60\u001b[0m filtered_data \u001b[38;5;241m=\u001b[39m data[[variable1, variable2]]\n\u001b[1;32m 62\u001b[0m \u001b[38;5;66;03m# Crear la tabla de pivote\u001b[39;00m\n\u001b[0;32m---> 63\u001b[0m pivot_table \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpivot_table\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfiltered_data\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvalues\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindex\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mindex\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 65\u001b[0m \u001b[38;5;66;03m# Mostrar la tabla de pivote\u001b[39;00m\n\u001b[1;32m 66\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTabla de pivote:\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/core/reshape/pivot.py:97\u001b[0m, in \u001b[0;36mpivot_table\u001b[0;34m(data, values, index, columns, aggfunc, fill_value, margins, dropna, margins_name, observed, sort)\u001b[0m\n\u001b[1;32m 94\u001b[0m table \u001b[38;5;241m=\u001b[39m concat(pieces, keys\u001b[38;5;241m=\u001b[39mkeys, axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m)\n\u001b[1;32m 95\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m table\u001b[38;5;241m.\u001b[39m__finalize__(data, method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpivot_table\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m---> 97\u001b[0m table \u001b[38;5;241m=\u001b[39m \u001b[43m__internal_pivot_table\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 98\u001b[0m \u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 99\u001b[0m \u001b[43m \u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 100\u001b[0m \u001b[43m \u001b[49m\u001b[43mindex\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 101\u001b[0m \u001b[43m \u001b[49m\u001b[43mcolumns\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 102\u001b[0m \u001b[43m \u001b[49m\u001b[43maggfunc\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 103\u001b[0m \u001b[43m \u001b[49m\u001b[43mfill_value\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 104\u001b[0m \u001b[43m \u001b[49m\u001b[43mmargins\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 105\u001b[0m \u001b[43m \u001b[49m\u001b[43mdropna\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 106\u001b[0m \u001b[43m \u001b[49m\u001b[43mmargins_name\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 107\u001b[0m \u001b[43m \u001b[49m\u001b[43mobserved\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 108\u001b[0m \u001b[43m \u001b[49m\u001b[43msort\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 109\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 110\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m table\u001b[38;5;241m.\u001b[39m__finalize__(data, method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpivot_table\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/core/reshape/pivot.py:166\u001b[0m, in \u001b[0;36m__internal_pivot_table\u001b[0;34m(data, values, index, columns, aggfunc, fill_value, margins, dropna, margins_name, observed, sort)\u001b[0m\n\u001b[1;32m 163\u001b[0m \u001b[38;5;28;01mpass\u001b[39;00m\n\u001b[1;32m 164\u001b[0m values \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(values)\n\u001b[0;32m--> 166\u001b[0m grouped \u001b[38;5;241m=\u001b[39m \u001b[43mdata\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgroupby\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkeys\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mobserved\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mobserved\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msort\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msort\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 167\u001b[0m agged \u001b[38;5;241m=\u001b[39m grouped\u001b[38;5;241m.\u001b[39magg(aggfunc)\n\u001b[1;32m 169\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m dropna \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(agged, ABCDataFrame) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(agged\u001b[38;5;241m.\u001b[39mcolumns):\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/core/frame.py:8262\u001b[0m, in \u001b[0;36mDataFrame.groupby\u001b[0;34m(self, by, axis, level, as_index, sort, group_keys, observed, dropna)\u001b[0m\n\u001b[1;32m 8259\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mYou have to supply one of \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mby\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m and \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlevel\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 8260\u001b[0m axis \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_axis_number(axis)\n\u001b[0;32m-> 8262\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mDataFrameGroupBy\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 8263\u001b[0m \u001b[43m \u001b[49m\u001b[43mobj\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 8264\u001b[0m \u001b[43m \u001b[49m\u001b[43mkeys\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mby\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 8265\u001b[0m \u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maxis\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 8266\u001b[0m \u001b[43m \u001b[49m\u001b[43mlevel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlevel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 8267\u001b[0m \u001b[43m \u001b[49m\u001b[43mas_index\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mas_index\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 8268\u001b[0m \u001b[43m \u001b[49m\u001b[43msort\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msort\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 8269\u001b[0m \u001b[43m \u001b[49m\u001b[43mgroup_keys\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mgroup_keys\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 8270\u001b[0m \u001b[43m \u001b[49m\u001b[43mobserved\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mobserved\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 8271\u001b[0m \u001b[43m \u001b[49m\u001b[43mdropna\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdropna\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 8272\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/core/groupby/groupby.py:931\u001b[0m, in \u001b[0;36mGroupBy.__init__\u001b[0;34m(self, obj, keys, axis, level, grouper, exclusions, selection, as_index, sort, group_keys, observed, dropna)\u001b[0m\n\u001b[1;32m 928\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdropna \u001b[38;5;241m=\u001b[39m dropna\n\u001b[1;32m 930\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m grouper \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 931\u001b[0m grouper, exclusions, obj \u001b[38;5;241m=\u001b[39m \u001b[43mget_grouper\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 932\u001b[0m \u001b[43m \u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 933\u001b[0m \u001b[43m \u001b[49m\u001b[43mkeys\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 934\u001b[0m \u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maxis\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 935\u001b[0m \u001b[43m \u001b[49m\u001b[43mlevel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlevel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 936\u001b[0m \u001b[43m \u001b[49m\u001b[43msort\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msort\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 937\u001b[0m \u001b[43m \u001b[49m\u001b[43mobserved\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mobserved\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 938\u001b[0m \u001b[43m \u001b[49m\u001b[43mdropna\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdropna\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 939\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 941\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mobj \u001b[38;5;241m=\u001b[39m obj\n\u001b[1;32m 942\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maxis \u001b[38;5;241m=\u001b[39m obj\u001b[38;5;241m.\u001b[39m_get_axis_number(axis)\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/core/groupby/grouper.py:985\u001b[0m, in \u001b[0;36mget_grouper\u001b[0;34m(obj, key, axis, level, sort, observed, validate, dropna)\u001b[0m\n\u001b[1;32m 983\u001b[0m in_axis, level, gpr \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m, gpr, \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 984\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 985\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(gpr)\n\u001b[1;32m 986\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(gpr, Grouper) \u001b[38;5;129;01mand\u001b[39;00m gpr\u001b[38;5;241m.\u001b[39mkey \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 987\u001b[0m \u001b[38;5;66;03m# Add key to exclusions\u001b[39;00m\n\u001b[1;32m 988\u001b[0m exclusions\u001b[38;5;241m.\u001b[39madd(gpr\u001b[38;5;241m.\u001b[39mkey)\n", "\u001b[0;31mKeyError\u001b[0m: 'Variable 1:'" ] }, { "ename": "KeyError", "evalue": "'Producto'", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget.py:773\u001b[0m, in \u001b[0;36mWidget._handle_msg\u001b[0;34m(self, msg)\u001b[0m\n\u001b[1;32m 771\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbuffer_paths\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;129;01min\u001b[39;00m data:\n\u001b[1;32m 772\u001b[0m _put_buffers(state, data[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbuffer_paths\u001b[39m\u001b[38;5;124m'\u001b[39m], msg[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbuffers\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[0;32m--> 773\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset_state\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstate\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 775\u001b[0m \u001b[38;5;66;03m# Handle a state request.\u001b[39;00m\n\u001b[1;32m 776\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m method \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrequest_state\u001b[39m\u001b[38;5;124m'\u001b[39m:\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget.py:650\u001b[0m, in \u001b[0;36mWidget.set_state\u001b[0;34m(self, sync_data)\u001b[0m\n\u001b[1;32m 645\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_send(msg, buffers\u001b[38;5;241m=\u001b[39mecho_buffers)\n\u001b[1;32m 647\u001b[0m \u001b[38;5;66;03m# The order of these context managers is important. Properties must\u001b[39;00m\n\u001b[1;32m 648\u001b[0m \u001b[38;5;66;03m# be locked when the hold_trait_notification context manager is\u001b[39;00m\n\u001b[1;32m 649\u001b[0m \u001b[38;5;66;03m# released and notifications are fired.\u001b[39;00m\n\u001b[0;32m--> 650\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_lock_property(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39msync_data), \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhold_trait_notifications():\n\u001b[1;32m 651\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m sync_data:\n\u001b[1;32m 652\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mkeys:\n", "File \u001b[0;32m/usr/lib/python3.10/contextlib.py:142\u001b[0m, in \u001b[0;36m_GeneratorContextManager.__exit__\u001b[0;34m(self, typ, value, traceback)\u001b[0m\n\u001b[1;32m 140\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m typ \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 141\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 142\u001b[0m \u001b[38;5;28;43mnext\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgen\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 143\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mStopIteration\u001b[39;00m:\n\u001b[1;32m 144\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mFalse\u001b[39;00m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1502\u001b[0m, in \u001b[0;36mHasTraits.hold_trait_notifications\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1500\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m changes \u001b[38;5;129;01min\u001b[39;00m cache\u001b[38;5;241m.\u001b[39mvalues():\n\u001b[1;32m 1501\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m change \u001b[38;5;129;01min\u001b[39;00m changes:\n\u001b[0;32m-> 1502\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnotify_change\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget.py:701\u001b[0m, in \u001b[0;36mWidget.notify_change\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 698\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mkeys \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_should_send_property(name, \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, name)):\n\u001b[1;32m 699\u001b[0m \u001b[38;5;66;03m# Send new state to front-end\u001b[39;00m\n\u001b[1;32m 700\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msend_state(key\u001b[38;5;241m=\u001b[39mname)\n\u001b[0;32m--> 701\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnotify_change\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1517\u001b[0m, in \u001b[0;36mHasTraits.notify_change\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 1515\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mnotify_change\u001b[39m(\u001b[38;5;28mself\u001b[39m, change):\n\u001b[1;32m 1516\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Notify observers of a change event\"\"\"\u001b[39;00m\n\u001b[0;32m-> 1517\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_notify_observers\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1564\u001b[0m, in \u001b[0;36mHasTraits._notify_observers\u001b[0;34m(self, event)\u001b[0m\n\u001b[1;32m 1561\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(c, EventHandler) \u001b[38;5;129;01mand\u001b[39;00m c\u001b[38;5;241m.\u001b[39mname \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 1562\u001b[0m c \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, c\u001b[38;5;241m.\u001b[39mname)\n\u001b[0;32m-> 1564\u001b[0m \u001b[43mc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mevent\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget_selection.py:236\u001b[0m, in \u001b[0;36m_Selection._propagate_index\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 234\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlabel \u001b[38;5;241m=\u001b[39m label\n\u001b[1;32m 235\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mvalue \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m value:\n\u001b[0;32m--> 236\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalue\u001b[49m \u001b[38;5;241m=\u001b[39m value\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:732\u001b[0m, in \u001b[0;36mTraitType.__set__\u001b[0;34m(self, obj, value)\u001b[0m\n\u001b[1;32m 730\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m TraitError(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mThe \u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m trait is read-only.\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;241m%\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mname)\n\u001b[1;32m 731\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 732\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvalue\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:721\u001b[0m, in \u001b[0;36mTraitType.set\u001b[0;34m(self, obj, value)\u001b[0m\n\u001b[1;32m 717\u001b[0m silent \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m 718\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m silent \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[1;32m 719\u001b[0m \u001b[38;5;66;03m# we explicitly compare silent to True just in case the equality\u001b[39;00m\n\u001b[1;32m 720\u001b[0m \u001b[38;5;66;03m# comparison above returns something other than True/False\u001b[39;00m\n\u001b[0;32m--> 721\u001b[0m \u001b[43mobj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_notify_trait\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mold_value\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnew_value\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1505\u001b[0m, in \u001b[0;36mHasTraits._notify_trait\u001b[0;34m(self, name, old_value, new_value)\u001b[0m\n\u001b[1;32m 1504\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_notify_trait\u001b[39m(\u001b[38;5;28mself\u001b[39m, name, old_value, new_value):\n\u001b[0;32m-> 1505\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnotify_change\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1506\u001b[0m \u001b[43m \u001b[49m\u001b[43mBunch\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1507\u001b[0m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1508\u001b[0m \u001b[43m \u001b[49m\u001b[43mold\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mold_value\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1509\u001b[0m \u001b[43m \u001b[49m\u001b[43mnew\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnew_value\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1510\u001b[0m \u001b[43m \u001b[49m\u001b[43mowner\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1511\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mtype\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mchange\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1512\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1513\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget.py:701\u001b[0m, in \u001b[0;36mWidget.notify_change\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 698\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mkeys \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_should_send_property(name, \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, name)):\n\u001b[1;32m 699\u001b[0m \u001b[38;5;66;03m# Send new state to front-end\u001b[39;00m\n\u001b[1;32m 700\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msend_state(key\u001b[38;5;241m=\u001b[39mname)\n\u001b[0;32m--> 701\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnotify_change\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1517\u001b[0m, in \u001b[0;36mHasTraits.notify_change\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 1515\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mnotify_change\u001b[39m(\u001b[38;5;28mself\u001b[39m, change):\n\u001b[1;32m 1516\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Notify observers of a change event\"\"\"\u001b[39;00m\n\u001b[0;32m-> 1517\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_notify_observers\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1564\u001b[0m, in \u001b[0;36mHasTraits._notify_observers\u001b[0;34m(self, event)\u001b[0m\n\u001b[1;32m 1561\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(c, EventHandler) \u001b[38;5;129;01mand\u001b[39;00m c\u001b[38;5;241m.\u001b[39mname \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 1562\u001b[0m c \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, c\u001b[38;5;241m.\u001b[39mname)\n\u001b[0;32m-> 1564\u001b[0m \u001b[43mc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mevent\u001b[49m\u001b[43m)\u001b[49m\n", "Cell \u001b[0;32mIn[5], line 63\u001b[0m, in \u001b[0;36mgenerate_chart\u001b[0;34m(change)\u001b[0m\n\u001b[1;32m 60\u001b[0m filtered_data \u001b[38;5;241m=\u001b[39m data[[variable1, variable2]]\n\u001b[1;32m 62\u001b[0m \u001b[38;5;66;03m# Crear la tabla de pivote\u001b[39;00m\n\u001b[0;32m---> 63\u001b[0m pivot_table \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpivot_table\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfiltered_data\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvalues\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindex\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mindex\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 65\u001b[0m \u001b[38;5;66;03m# Mostrar la tabla de pivote\u001b[39;00m\n\u001b[1;32m 66\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTabla de pivote:\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/core/reshape/pivot.py:97\u001b[0m, in \u001b[0;36mpivot_table\u001b[0;34m(data, values, index, columns, aggfunc, fill_value, margins, dropna, margins_name, observed, sort)\u001b[0m\n\u001b[1;32m 94\u001b[0m table \u001b[38;5;241m=\u001b[39m concat(pieces, keys\u001b[38;5;241m=\u001b[39mkeys, axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m)\n\u001b[1;32m 95\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m table\u001b[38;5;241m.\u001b[39m__finalize__(data, method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpivot_table\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m---> 97\u001b[0m table \u001b[38;5;241m=\u001b[39m \u001b[43m__internal_pivot_table\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 98\u001b[0m \u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 99\u001b[0m \u001b[43m \u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 100\u001b[0m \u001b[43m \u001b[49m\u001b[43mindex\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 101\u001b[0m \u001b[43m \u001b[49m\u001b[43mcolumns\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 102\u001b[0m \u001b[43m \u001b[49m\u001b[43maggfunc\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 103\u001b[0m \u001b[43m \u001b[49m\u001b[43mfill_value\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 104\u001b[0m \u001b[43m \u001b[49m\u001b[43mmargins\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 105\u001b[0m \u001b[43m \u001b[49m\u001b[43mdropna\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 106\u001b[0m \u001b[43m \u001b[49m\u001b[43mmargins_name\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 107\u001b[0m \u001b[43m \u001b[49m\u001b[43mobserved\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 108\u001b[0m \u001b[43m \u001b[49m\u001b[43msort\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 109\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 110\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m table\u001b[38;5;241m.\u001b[39m__finalize__(data, method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpivot_table\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/core/reshape/pivot.py:143\u001b[0m, in \u001b[0;36m__internal_pivot_table\u001b[0;34m(data, values, index, columns, aggfunc, fill_value, margins, dropna, margins_name, observed, sort)\u001b[0m\n\u001b[1;32m 141\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m values:\n\u001b[1;32m 142\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m i \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m data:\n\u001b[0;32m--> 143\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(i)\n\u001b[1;32m 145\u001b[0m to_filter \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m 146\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m keys \u001b[38;5;241m+\u001b[39m values:\n", "\u001b[0;31mKeyError\u001b[0m: 'Producto'" ] }, { "ename": "KeyError", "evalue": "'Variable 1:'", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget.py:773\u001b[0m, in \u001b[0;36mWidget._handle_msg\u001b[0;34m(self, msg)\u001b[0m\n\u001b[1;32m 771\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbuffer_paths\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;129;01min\u001b[39;00m data:\n\u001b[1;32m 772\u001b[0m _put_buffers(state, data[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbuffer_paths\u001b[39m\u001b[38;5;124m'\u001b[39m], msg[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbuffers\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[0;32m--> 773\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset_state\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstate\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 775\u001b[0m \u001b[38;5;66;03m# Handle a state request.\u001b[39;00m\n\u001b[1;32m 776\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m method \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrequest_state\u001b[39m\u001b[38;5;124m'\u001b[39m:\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget.py:650\u001b[0m, in \u001b[0;36mWidget.set_state\u001b[0;34m(self, sync_data)\u001b[0m\n\u001b[1;32m 645\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_send(msg, buffers\u001b[38;5;241m=\u001b[39mecho_buffers)\n\u001b[1;32m 647\u001b[0m \u001b[38;5;66;03m# The order of these context managers is important. Properties must\u001b[39;00m\n\u001b[1;32m 648\u001b[0m \u001b[38;5;66;03m# be locked when the hold_trait_notification context manager is\u001b[39;00m\n\u001b[1;32m 649\u001b[0m \u001b[38;5;66;03m# released and notifications are fired.\u001b[39;00m\n\u001b[0;32m--> 650\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_lock_property(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39msync_data), \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhold_trait_notifications():\n\u001b[1;32m 651\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m sync_data:\n\u001b[1;32m 652\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mkeys:\n", "File \u001b[0;32m/usr/lib/python3.10/contextlib.py:142\u001b[0m, in \u001b[0;36m_GeneratorContextManager.__exit__\u001b[0;34m(self, typ, value, traceback)\u001b[0m\n\u001b[1;32m 140\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m typ \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 141\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 142\u001b[0m \u001b[38;5;28;43mnext\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgen\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 143\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mStopIteration\u001b[39;00m:\n\u001b[1;32m 144\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mFalse\u001b[39;00m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1502\u001b[0m, in \u001b[0;36mHasTraits.hold_trait_notifications\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1500\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m changes \u001b[38;5;129;01min\u001b[39;00m cache\u001b[38;5;241m.\u001b[39mvalues():\n\u001b[1;32m 1501\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m change \u001b[38;5;129;01min\u001b[39;00m changes:\n\u001b[0;32m-> 1502\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnotify_change\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget.py:701\u001b[0m, in \u001b[0;36mWidget.notify_change\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 698\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mkeys \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_should_send_property(name, \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, name)):\n\u001b[1;32m 699\u001b[0m \u001b[38;5;66;03m# Send new state to front-end\u001b[39;00m\n\u001b[1;32m 700\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msend_state(key\u001b[38;5;241m=\u001b[39mname)\n\u001b[0;32m--> 701\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnotify_change\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1517\u001b[0m, in \u001b[0;36mHasTraits.notify_change\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 1515\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mnotify_change\u001b[39m(\u001b[38;5;28mself\u001b[39m, change):\n\u001b[1;32m 1516\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Notify observers of a change event\"\"\"\u001b[39;00m\n\u001b[0;32m-> 1517\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_notify_observers\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1564\u001b[0m, in \u001b[0;36mHasTraits._notify_observers\u001b[0;34m(self, event)\u001b[0m\n\u001b[1;32m 1561\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(c, EventHandler) \u001b[38;5;129;01mand\u001b[39;00m c\u001b[38;5;241m.\u001b[39mname \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 1562\u001b[0m c \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, c\u001b[38;5;241m.\u001b[39mname)\n\u001b[0;32m-> 1564\u001b[0m \u001b[43mc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mevent\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget_selection.py:236\u001b[0m, in \u001b[0;36m_Selection._propagate_index\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 234\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlabel \u001b[38;5;241m=\u001b[39m label\n\u001b[1;32m 235\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mvalue \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m value:\n\u001b[0;32m--> 236\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalue\u001b[49m \u001b[38;5;241m=\u001b[39m value\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:732\u001b[0m, in \u001b[0;36mTraitType.__set__\u001b[0;34m(self, obj, value)\u001b[0m\n\u001b[1;32m 730\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m TraitError(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mThe \u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m trait is read-only.\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;241m%\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mname)\n\u001b[1;32m 731\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 732\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvalue\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:721\u001b[0m, in \u001b[0;36mTraitType.set\u001b[0;34m(self, obj, value)\u001b[0m\n\u001b[1;32m 717\u001b[0m silent \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m 718\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m silent \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[1;32m 719\u001b[0m \u001b[38;5;66;03m# we explicitly compare silent to True just in case the equality\u001b[39;00m\n\u001b[1;32m 720\u001b[0m \u001b[38;5;66;03m# comparison above returns something other than True/False\u001b[39;00m\n\u001b[0;32m--> 721\u001b[0m \u001b[43mobj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_notify_trait\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mold_value\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnew_value\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1505\u001b[0m, in \u001b[0;36mHasTraits._notify_trait\u001b[0;34m(self, name, old_value, new_value)\u001b[0m\n\u001b[1;32m 1504\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_notify_trait\u001b[39m(\u001b[38;5;28mself\u001b[39m, name, old_value, new_value):\n\u001b[0;32m-> 1505\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnotify_change\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1506\u001b[0m \u001b[43m \u001b[49m\u001b[43mBunch\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1507\u001b[0m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1508\u001b[0m \u001b[43m \u001b[49m\u001b[43mold\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mold_value\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1509\u001b[0m \u001b[43m \u001b[49m\u001b[43mnew\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnew_value\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1510\u001b[0m \u001b[43m \u001b[49m\u001b[43mowner\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1511\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mtype\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mchange\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1512\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1513\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget.py:701\u001b[0m, in \u001b[0;36mWidget.notify_change\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 698\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mkeys \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_should_send_property(name, \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, name)):\n\u001b[1;32m 699\u001b[0m \u001b[38;5;66;03m# Send new state to front-end\u001b[39;00m\n\u001b[1;32m 700\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msend_state(key\u001b[38;5;241m=\u001b[39mname)\n\u001b[0;32m--> 701\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnotify_change\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1517\u001b[0m, in \u001b[0;36mHasTraits.notify_change\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 1515\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mnotify_change\u001b[39m(\u001b[38;5;28mself\u001b[39m, change):\n\u001b[1;32m 1516\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Notify observers of a change event\"\"\"\u001b[39;00m\n\u001b[0;32m-> 1517\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_notify_observers\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1564\u001b[0m, in \u001b[0;36mHasTraits._notify_observers\u001b[0;34m(self, event)\u001b[0m\n\u001b[1;32m 1561\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(c, EventHandler) \u001b[38;5;129;01mand\u001b[39;00m c\u001b[38;5;241m.\u001b[39mname \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 1562\u001b[0m c \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, c\u001b[38;5;241m.\u001b[39mname)\n\u001b[0;32m-> 1564\u001b[0m \u001b[43mc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mevent\u001b[49m\u001b[43m)\u001b[49m\n", "Cell \u001b[0;32mIn[5], line 63\u001b[0m, in \u001b[0;36mgenerate_chart\u001b[0;34m(change)\u001b[0m\n\u001b[1;32m 60\u001b[0m filtered_data \u001b[38;5;241m=\u001b[39m data[[variable1, variable2]]\n\u001b[1;32m 62\u001b[0m \u001b[38;5;66;03m# Crear la tabla de pivote\u001b[39;00m\n\u001b[0;32m---> 63\u001b[0m pivot_table \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpivot_table\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfiltered_data\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvalues\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindex\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mindex\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 65\u001b[0m \u001b[38;5;66;03m# Mostrar la tabla de pivote\u001b[39;00m\n\u001b[1;32m 66\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTabla de pivote:\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/core/reshape/pivot.py:97\u001b[0m, in \u001b[0;36mpivot_table\u001b[0;34m(data, values, index, columns, aggfunc, fill_value, margins, dropna, margins_name, observed, sort)\u001b[0m\n\u001b[1;32m 94\u001b[0m table \u001b[38;5;241m=\u001b[39m concat(pieces, keys\u001b[38;5;241m=\u001b[39mkeys, axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m)\n\u001b[1;32m 95\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m table\u001b[38;5;241m.\u001b[39m__finalize__(data, method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpivot_table\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m---> 97\u001b[0m table \u001b[38;5;241m=\u001b[39m \u001b[43m__internal_pivot_table\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 98\u001b[0m \u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 99\u001b[0m \u001b[43m \u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 100\u001b[0m \u001b[43m \u001b[49m\u001b[43mindex\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 101\u001b[0m \u001b[43m \u001b[49m\u001b[43mcolumns\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 102\u001b[0m \u001b[43m \u001b[49m\u001b[43maggfunc\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 103\u001b[0m \u001b[43m \u001b[49m\u001b[43mfill_value\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 104\u001b[0m \u001b[43m \u001b[49m\u001b[43mmargins\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 105\u001b[0m \u001b[43m \u001b[49m\u001b[43mdropna\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 106\u001b[0m \u001b[43m \u001b[49m\u001b[43mmargins_name\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 107\u001b[0m \u001b[43m \u001b[49m\u001b[43mobserved\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 108\u001b[0m \u001b[43m \u001b[49m\u001b[43msort\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 109\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 110\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m table\u001b[38;5;241m.\u001b[39m__finalize__(data, method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpivot_table\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/core/reshape/pivot.py:166\u001b[0m, in \u001b[0;36m__internal_pivot_table\u001b[0;34m(data, values, index, columns, aggfunc, fill_value, margins, dropna, margins_name, observed, sort)\u001b[0m\n\u001b[1;32m 163\u001b[0m \u001b[38;5;28;01mpass\u001b[39;00m\n\u001b[1;32m 164\u001b[0m values \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(values)\n\u001b[0;32m--> 166\u001b[0m grouped \u001b[38;5;241m=\u001b[39m \u001b[43mdata\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgroupby\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkeys\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mobserved\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mobserved\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msort\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msort\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 167\u001b[0m agged \u001b[38;5;241m=\u001b[39m grouped\u001b[38;5;241m.\u001b[39magg(aggfunc)\n\u001b[1;32m 169\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m dropna \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(agged, ABCDataFrame) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(agged\u001b[38;5;241m.\u001b[39mcolumns):\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/core/frame.py:8262\u001b[0m, in \u001b[0;36mDataFrame.groupby\u001b[0;34m(self, by, axis, level, as_index, sort, group_keys, observed, dropna)\u001b[0m\n\u001b[1;32m 8259\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mYou have to supply one of \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mby\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m and \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlevel\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 8260\u001b[0m axis \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_axis_number(axis)\n\u001b[0;32m-> 8262\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mDataFrameGroupBy\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 8263\u001b[0m \u001b[43m \u001b[49m\u001b[43mobj\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 8264\u001b[0m \u001b[43m \u001b[49m\u001b[43mkeys\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mby\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 8265\u001b[0m \u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maxis\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 8266\u001b[0m \u001b[43m \u001b[49m\u001b[43mlevel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlevel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 8267\u001b[0m \u001b[43m \u001b[49m\u001b[43mas_index\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mas_index\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 8268\u001b[0m \u001b[43m \u001b[49m\u001b[43msort\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msort\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 8269\u001b[0m \u001b[43m \u001b[49m\u001b[43mgroup_keys\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mgroup_keys\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 8270\u001b[0m \u001b[43m \u001b[49m\u001b[43mobserved\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mobserved\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 8271\u001b[0m \u001b[43m \u001b[49m\u001b[43mdropna\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdropna\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 8272\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/core/groupby/groupby.py:931\u001b[0m, in \u001b[0;36mGroupBy.__init__\u001b[0;34m(self, obj, keys, axis, level, grouper, exclusions, selection, as_index, sort, group_keys, observed, dropna)\u001b[0m\n\u001b[1;32m 928\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdropna \u001b[38;5;241m=\u001b[39m dropna\n\u001b[1;32m 930\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m grouper \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 931\u001b[0m grouper, exclusions, obj \u001b[38;5;241m=\u001b[39m \u001b[43mget_grouper\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 932\u001b[0m \u001b[43m \u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 933\u001b[0m \u001b[43m \u001b[49m\u001b[43mkeys\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 934\u001b[0m \u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maxis\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 935\u001b[0m \u001b[43m \u001b[49m\u001b[43mlevel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlevel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 936\u001b[0m \u001b[43m \u001b[49m\u001b[43msort\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msort\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 937\u001b[0m \u001b[43m \u001b[49m\u001b[43mobserved\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mobserved\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 938\u001b[0m \u001b[43m \u001b[49m\u001b[43mdropna\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdropna\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 939\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 941\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mobj \u001b[38;5;241m=\u001b[39m obj\n\u001b[1;32m 942\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maxis \u001b[38;5;241m=\u001b[39m obj\u001b[38;5;241m.\u001b[39m_get_axis_number(axis)\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/core/groupby/grouper.py:985\u001b[0m, in \u001b[0;36mget_grouper\u001b[0;34m(obj, key, axis, level, sort, observed, validate, dropna)\u001b[0m\n\u001b[1;32m 983\u001b[0m in_axis, level, gpr \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m, gpr, \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 984\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 985\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(gpr)\n\u001b[1;32m 986\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(gpr, Grouper) \u001b[38;5;129;01mand\u001b[39;00m gpr\u001b[38;5;241m.\u001b[39mkey \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 987\u001b[0m \u001b[38;5;66;03m# Add key to exclusions\u001b[39;00m\n\u001b[1;32m 988\u001b[0m exclusions\u001b[38;5;241m.\u001b[39madd(gpr\u001b[38;5;241m.\u001b[39mkey)\n", "\u001b[0;31mKeyError\u001b[0m: 'Variable 1:'" ] }, { "ename": "KeyError", "evalue": "'Produccion (ton)'", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget.py:773\u001b[0m, in \u001b[0;36mWidget._handle_msg\u001b[0;34m(self, msg)\u001b[0m\n\u001b[1;32m 771\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbuffer_paths\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;129;01min\u001b[39;00m data:\n\u001b[1;32m 772\u001b[0m _put_buffers(state, data[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbuffer_paths\u001b[39m\u001b[38;5;124m'\u001b[39m], msg[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbuffers\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[0;32m--> 773\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset_state\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstate\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 775\u001b[0m \u001b[38;5;66;03m# Handle a state request.\u001b[39;00m\n\u001b[1;32m 776\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m method \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrequest_state\u001b[39m\u001b[38;5;124m'\u001b[39m:\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget.py:650\u001b[0m, in \u001b[0;36mWidget.set_state\u001b[0;34m(self, sync_data)\u001b[0m\n\u001b[1;32m 645\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_send(msg, buffers\u001b[38;5;241m=\u001b[39mecho_buffers)\n\u001b[1;32m 647\u001b[0m \u001b[38;5;66;03m# The order of these context managers is important. Properties must\u001b[39;00m\n\u001b[1;32m 648\u001b[0m \u001b[38;5;66;03m# be locked when the hold_trait_notification context manager is\u001b[39;00m\n\u001b[1;32m 649\u001b[0m \u001b[38;5;66;03m# released and notifications are fired.\u001b[39;00m\n\u001b[0;32m--> 650\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_lock_property(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39msync_data), \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhold_trait_notifications():\n\u001b[1;32m 651\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m sync_data:\n\u001b[1;32m 652\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mkeys:\n", "File \u001b[0;32m/usr/lib/python3.10/contextlib.py:142\u001b[0m, in \u001b[0;36m_GeneratorContextManager.__exit__\u001b[0;34m(self, typ, value, traceback)\u001b[0m\n\u001b[1;32m 140\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m typ \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 141\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 142\u001b[0m \u001b[38;5;28;43mnext\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgen\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 143\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mStopIteration\u001b[39;00m:\n\u001b[1;32m 144\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mFalse\u001b[39;00m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1502\u001b[0m, in \u001b[0;36mHasTraits.hold_trait_notifications\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1500\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m changes \u001b[38;5;129;01min\u001b[39;00m cache\u001b[38;5;241m.\u001b[39mvalues():\n\u001b[1;32m 1501\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m change \u001b[38;5;129;01min\u001b[39;00m changes:\n\u001b[0;32m-> 1502\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnotify_change\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget.py:701\u001b[0m, in \u001b[0;36mWidget.notify_change\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 698\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mkeys \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_should_send_property(name, \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, name)):\n\u001b[1;32m 699\u001b[0m \u001b[38;5;66;03m# Send new state to front-end\u001b[39;00m\n\u001b[1;32m 700\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msend_state(key\u001b[38;5;241m=\u001b[39mname)\n\u001b[0;32m--> 701\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnotify_change\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1517\u001b[0m, in \u001b[0;36mHasTraits.notify_change\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 1515\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mnotify_change\u001b[39m(\u001b[38;5;28mself\u001b[39m, change):\n\u001b[1;32m 1516\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Notify observers of a change event\"\"\"\u001b[39;00m\n\u001b[0;32m-> 1517\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_notify_observers\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1564\u001b[0m, in \u001b[0;36mHasTraits._notify_observers\u001b[0;34m(self, event)\u001b[0m\n\u001b[1;32m 1561\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(c, EventHandler) \u001b[38;5;129;01mand\u001b[39;00m c\u001b[38;5;241m.\u001b[39mname \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 1562\u001b[0m c \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, c\u001b[38;5;241m.\u001b[39mname)\n\u001b[0;32m-> 1564\u001b[0m \u001b[43mc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mevent\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget_selection.py:236\u001b[0m, in \u001b[0;36m_Selection._propagate_index\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 234\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlabel \u001b[38;5;241m=\u001b[39m label\n\u001b[1;32m 235\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mvalue \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m value:\n\u001b[0;32m--> 236\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalue\u001b[49m \u001b[38;5;241m=\u001b[39m value\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:732\u001b[0m, in \u001b[0;36mTraitType.__set__\u001b[0;34m(self, obj, value)\u001b[0m\n\u001b[1;32m 730\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m TraitError(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mThe \u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m trait is read-only.\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;241m%\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mname)\n\u001b[1;32m 731\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 732\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvalue\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:721\u001b[0m, in \u001b[0;36mTraitType.set\u001b[0;34m(self, obj, value)\u001b[0m\n\u001b[1;32m 717\u001b[0m silent \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m 718\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m silent \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[1;32m 719\u001b[0m \u001b[38;5;66;03m# we explicitly compare silent to True just in case the equality\u001b[39;00m\n\u001b[1;32m 720\u001b[0m \u001b[38;5;66;03m# comparison above returns something other than True/False\u001b[39;00m\n\u001b[0;32m--> 721\u001b[0m \u001b[43mobj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_notify_trait\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mold_value\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnew_value\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1505\u001b[0m, in \u001b[0;36mHasTraits._notify_trait\u001b[0;34m(self, name, old_value, new_value)\u001b[0m\n\u001b[1;32m 1504\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_notify_trait\u001b[39m(\u001b[38;5;28mself\u001b[39m, name, old_value, new_value):\n\u001b[0;32m-> 1505\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnotify_change\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1506\u001b[0m \u001b[43m \u001b[49m\u001b[43mBunch\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1507\u001b[0m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1508\u001b[0m \u001b[43m \u001b[49m\u001b[43mold\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mold_value\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1509\u001b[0m \u001b[43m \u001b[49m\u001b[43mnew\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnew_value\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1510\u001b[0m \u001b[43m \u001b[49m\u001b[43mowner\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1511\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mtype\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mchange\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1512\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1513\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/ipywidgets/widgets/widget.py:701\u001b[0m, in \u001b[0;36mWidget.notify_change\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 698\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mkeys \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_should_send_property(name, \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, name)):\n\u001b[1;32m 699\u001b[0m \u001b[38;5;66;03m# Send new state to front-end\u001b[39;00m\n\u001b[1;32m 700\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msend_state(key\u001b[38;5;241m=\u001b[39mname)\n\u001b[0;32m--> 701\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnotify_change\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1517\u001b[0m, in \u001b[0;36mHasTraits.notify_change\u001b[0;34m(self, change)\u001b[0m\n\u001b[1;32m 1515\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mnotify_change\u001b[39m(\u001b[38;5;28mself\u001b[39m, change):\n\u001b[1;32m 1516\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Notify observers of a change event\"\"\"\u001b[39;00m\n\u001b[0;32m-> 1517\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_notify_observers\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchange\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/usr/lib/python3.10/site-packages/traitlets/traitlets.py:1564\u001b[0m, in \u001b[0;36mHasTraits._notify_observers\u001b[0;34m(self, event)\u001b[0m\n\u001b[1;32m 1561\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(c, EventHandler) \u001b[38;5;129;01mand\u001b[39;00m c\u001b[38;5;241m.\u001b[39mname \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 1562\u001b[0m c \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, c\u001b[38;5;241m.\u001b[39mname)\n\u001b[0;32m-> 1564\u001b[0m \u001b[43mc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mevent\u001b[49m\u001b[43m)\u001b[49m\n", "Cell \u001b[0;32mIn[5], line 63\u001b[0m, in \u001b[0;36mgenerate_chart\u001b[0;34m(change)\u001b[0m\n\u001b[1;32m 60\u001b[0m filtered_data \u001b[38;5;241m=\u001b[39m data[[variable1, variable2]]\n\u001b[1;32m 62\u001b[0m \u001b[38;5;66;03m# Crear la tabla de pivote\u001b[39;00m\n\u001b[0;32m---> 63\u001b[0m pivot_table \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpivot_table\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfiltered_data\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvalues\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindex\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mindex\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 65\u001b[0m \u001b[38;5;66;03m# Mostrar la tabla de pivote\u001b[39;00m\n\u001b[1;32m 66\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTabla de pivote:\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/core/reshape/pivot.py:97\u001b[0m, in \u001b[0;36mpivot_table\u001b[0;34m(data, values, index, columns, aggfunc, fill_value, margins, dropna, margins_name, observed, sort)\u001b[0m\n\u001b[1;32m 94\u001b[0m table \u001b[38;5;241m=\u001b[39m concat(pieces, keys\u001b[38;5;241m=\u001b[39mkeys, axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m)\n\u001b[1;32m 95\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m table\u001b[38;5;241m.\u001b[39m__finalize__(data, method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpivot_table\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m---> 97\u001b[0m table \u001b[38;5;241m=\u001b[39m \u001b[43m__internal_pivot_table\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 98\u001b[0m \u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 99\u001b[0m \u001b[43m \u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 100\u001b[0m \u001b[43m \u001b[49m\u001b[43mindex\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 101\u001b[0m \u001b[43m \u001b[49m\u001b[43mcolumns\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 102\u001b[0m \u001b[43m \u001b[49m\u001b[43maggfunc\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 103\u001b[0m \u001b[43m \u001b[49m\u001b[43mfill_value\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 104\u001b[0m \u001b[43m \u001b[49m\u001b[43mmargins\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 105\u001b[0m \u001b[43m \u001b[49m\u001b[43mdropna\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 106\u001b[0m \u001b[43m \u001b[49m\u001b[43mmargins_name\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 107\u001b[0m \u001b[43m \u001b[49m\u001b[43mobserved\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 108\u001b[0m \u001b[43m \u001b[49m\u001b[43msort\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 109\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 110\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m table\u001b[38;5;241m.\u001b[39m__finalize__(data, method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpivot_table\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/core/reshape/pivot.py:143\u001b[0m, in \u001b[0;36m__internal_pivot_table\u001b[0;34m(data, values, index, columns, aggfunc, fill_value, margins, dropna, margins_name, observed, sort)\u001b[0m\n\u001b[1;32m 141\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m values:\n\u001b[1;32m 142\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m i \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m data:\n\u001b[0;32m--> 143\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(i)\n\u001b[1;32m 145\u001b[0m to_filter \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m 146\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m keys \u001b[38;5;241m+\u001b[39m values:\n", "\u001b[0;31mKeyError\u001b[0m: 'Produccion (ton)'" ] } ], "source": [ "import os\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import ipywidgets as widgets\n", "from IPython.display import display\n", "\n", "# Directorio que contiene los archivos CSV\n", "directory = \"./\"\n", "\n", "# Obtener la lista de archivos CSV en el directorio\n", "csv_files = [file for file in os.listdir(directory) if file.endswith(\".csv\")]\n", "\n", "# Verificar si hay archivos CSV en el directorio\n", "if len(csv_files) == 0:\n", " print(\"No se encontraron archivos CSV en el directorio especificado.\")\n", " exit()\n", "\n", "# Cargar los datos de los archivos CSV en un DataFrame\n", "dfs = []\n", "\n", "for file in csv_files:\n", " file_path = os.path.join(directory, file)\n", " try:\n", " df = pd.read_csv(file_path)\n", " # Agregar una columna \"Producto\" con el nombre del archivo sin la extensión\n", " df[\"Producto\"] = os.path.splitext(file)[0]\n", " dfs.append(df)\n", " except pd.errors.EmptyDataError:\n", " print(f\"El archivo {file} está vacío y no se puede cargar.\")\n", "\n", "# Verificar si se cargaron datos en el DataFrame\n", "if len(dfs) == 0:\n", " print(\"No se pudo cargar ningún archivo CSV con datos.\")\n", " exit()\n", "\n", "# Concatenar los DataFrames en uno solo\n", "data = pd.concat(dfs)\n", "\n", "# Mostrar los campos disponibles\n", "fields = data.columns\n", "print(\"Campos disponibles:\")\n", "print(fields)\n", "\n", "# Crear las listas desplegables para seleccionar las variables y el tipo de gráfico\n", "variable1_dropdown = widgets.Dropdown(options=fields, description=\"Variable 1:\")\n", "variable2_dropdown = widgets.Dropdown(options=fields, description=\"Variable 2:\")\n", "chart_type_dropdown = widgets.Dropdown(options=[\"bar\", \"line\", \"scatter\", \"area\", \"pie\", \"histogram\", \"box\", \"bubble\", \"radar\", \"stacked_bar\", \"stacked_area\", \"polar\", \"violin\", \"heatmap\", \"treemap\", \"donut\", \"waterfall\", \"polar_area\", \"pareto\", \"network\"], description=\"Tipo de gráfico:\")\n", "values_dropdown = widgets.Dropdown(options=fields, description=\"Valores:\")\n", "index_dropdown = widgets.Dropdown(options=[variable1_dropdown.description, variable2_dropdown.description], description=\"Índice:\")\n", "\n", "# Función para generar y mostrar el gráfico seleccionado\n", "def generate_chart(change):\n", " variable1 = variable1_dropdown.value\n", " variable2 = variable2_dropdown.value\n", " chart_type = chart_type_dropdown.value\n", " values = values_dropdown.value\n", " index = index_dropdown.value\n", " \n", " # Filtrar el DataFrame con las variables seleccionadas\n", " filtered_data = data[[variable1, variable2]]\n", " \n", " # Crear la tabla de pivote\n", " pivot_table = pd.pivot_table(filtered_data, values=values, index=index)\n", " \n", " # Mostrar la tabla de pivote\n", " print(\"Tabla de pivote:\")\n", " print(pivot_table)\n", " \n", " # Crear la gráfica\n", " chart_title = f\"Gráfica de {values} por {index}\" # Título de la gráfica\n", " colors = [\"red\", \"green\", \"blue\", \"orange\"] # Colores para las barras\n", " \n", " try:\n", " if chart_type == \"pie\":\n", " pivot_table.plot.pie(y=values, figsize=(10, 6), autopct='%1.1f%%', colors=colors)\n", " else:\n", " pivot_table.plot(kind=chart_type, figsize=(10, 6), color=colors)\n", " plt.title(chart_title)\n", " plt.xlabel(index)\n", " plt.ylabel(values)\n", " plt.show()\n", " except ValueError as e:\n", " print(f\"No se pudo generar la gráfica. Error: {str(e)}\")\n", "\n", "# Asignar la función de generación de gráfico al evento \"change\" de las listas desplegables\n", "variable1_dropdown.observe(generate_chart, 'value')\n", "variable2_dropdown.observe(generate_chart, 'value')\n", "chart_type_dropdown.observe(generate_chart, 'value')\n", "values_dropdown.observe(generate_chart, 'value')\n", "index_dropdown.observe(generate_chart, 'value')\n", "\n", "# Mostrar las listas desplegables\n", "display(variable1_dropdown, variable2_dropdown, chart_type_dropdown, values_dropdown, index_dropdown)\n", "\n" ] }, { "cell_type": "markdown", "id": "17430fb4", "metadata": {}, "source": [ "# ¿Cuáles son los productos que en volumen de toneladas que se producen en todos los municipios?" ] }, { "cell_type": "code", "execution_count": 2, "id": "7a732a75", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Tabla de productos que se producen en todos los municipios:\n", "Empty DataFrame\n", "Columns: [Producto]\n", "Index: []\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import os\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "\n", "# Directorio que contiene los archivos CSV\n", "directory = \"./\"\n", "\n", "# Obtener la lista de archivos CSV en el directorio\n", "csv_files = [file for file in os.listdir(directory) if file.endswith(\".csv\")]\n", "\n", "# Verificar si hay archivos CSV en el directorio\n", "if len(csv_files) == 0:\n", " print(\"No se encontraron archivos CSV en el directorio especificado.\")\n", " exit()\n", "\n", "# Cargar los datos de los archivos CSV en un DataFrame\n", "dfs = []\n", "\n", "for file in csv_files:\n", " file_path = os.path.join(directory, file)\n", " try:\n", " df = pd.read_csv(file_path)\n", " # Agregar una columna \"Producto\" con el nombre del archivo sin la extensión\n", " df[\"Producto\"] = os.path.splitext(file)[0]\n", " dfs.append(df)\n", " except pd.errors.EmptyDataError:\n", " print(f\"El archivo {file} está vacío y no se puede cargar.\")\n", "\n", "# Verificar si se cargaron datos en el DataFrame\n", "if len(dfs) == 0:\n", " print(\"No se pudo cargar ningún archivo CSV con datos.\")\n", " exit()\n", "\n", "# Concatenar los DataFrames en uno solo\n", "data = pd.concat(dfs)\n", "\n", "# Calcular el volumen de toneladas por producto y municipio\n", "volumen_por_producto_municipio = data.groupby([\"Producto\", \"Municipio\"])[\"Produccion (ton)\"].sum().reset_index()\n", "\n", "# Filtrar los productos que se producen en todos los municipios\n", "productos_en_todos_municipios = volumen_por_producto_municipio.groupby(\"Producto\").filter(lambda x: len(x) == len(data[\"Municipio\"].unique()))\n", "\n", "# Obtener la lista de productos\n", "productos = productos_en_todos_municipios[\"Producto\"].unique()\n", "\n", "# Mostrar los productos que se producen en todos los municipios en una tabla\n", "tabla_productos = pd.DataFrame({\"Producto\": productos})\n", "print(\"Tabla de productos que se producen en todos los municipios:\")\n", "print(tabla_productos)\n", "\n", "# Mostrar los productos que se producen en todos los municipios en un gráfico de barras\n", "plt.figure(figsize=(10, 6))\n", "plt.barh(tabla_productos[\"Producto\"], 1)\n", "plt.xlabel(\"Cantidad de municipios\")\n", "plt.ylabel(\"Producto\")\n", "plt.title(\"Productos que se producen en todos los municipios\")\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": null, "id": "988cbca5", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.10" } }, "nbformat": 4, "nbformat_minor": 5 }