diff --git a/codigo/convert_csv_to_root.ipynb b/codigo/convert_csv_to_root.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..dcb6aded8b55d7a272f41adcf26c230e5c49d34e
--- /dev/null
+++ b/codigo/convert_csv_to_root.ipynb
@@ -0,0 +1,286 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#This code meants to be generic to analyze data from a .root file using ROOT. \n",
+    "\n",
+    "At this time the data is a file from  (insert path to gitmilab) .csv file\n",
+    "\n",
+    "wich relates etnies with height. \n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Welcome to JupyROOT 6.18/04\n"
+     ]
+    }
+   ],
+   "source": [
+    "import ROOT\n",
+    "import uproot\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# activates javascripts for interactive graphs.\n",
+    "\n",
+    "%jsroot on"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#data anlysis using root\n",
+    "\n",
+    "#open .root file and named it \"data\"\n",
+    "\n",
+    "data = ROOT.TFile.Open(\"/home/student/ejercicios-clase-08-datos/codigo/data_analisis.root\") "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#define canvas , named \"canva\", and Title \"Height vs Race\" \n",
+    "\n",
+    "canva = ROOT.TCanvas(\"Canvas\",\"Height vs Race\",800,600)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#define a tree to store .root file form the spreadsheet \"data_analisis\"\n",
+    "tree = data.Get(\"data_analisis\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "32"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# To know how many entries has the file\n",
+    "tree.GetEntries()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Build the histogram using ROOT. \n",
+    "\n",
+    "# Data_ analysis has 4 countries each of them represents a colum on the X axis.\n",
+    "\n",
+    "hist = ROOT.TH1F(\"hist_data\",\" Height vs Origen; Origen ; Height \" ,4,-0.5,4.5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Done!\n"
+     ]
+    }
+   ],
+   "source": [
+    "for origen in tree:\n",
+    "    hist.Fill(tree.tamano)\n",
+    "    \n",
+    "print(\"Done!\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "hist.SetFillColor(40)\n",
+    "hist.Draw()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<div id=\"root_plot_3\"\n",
+       "     style=\"width: 796px; height: 572px\">\n",
+       "</div>\n",
+       "\n",
+       "<script>\n",
+       " requirejs.config({\n",
+       "     paths: {\n",
+       "       'JSRootCore' : 'https://root.cern.ch/js/notebook//scripts/JSRootCore',\n",
+       "     }\n",
+       "   });\n",
+       " require(['JSRootCore'],\n",
+       "     function(Core) {\n",
+       "       var obj = Core.JSONR_unref({\"_typename\":\"TCanvas\",\"fUniqueID\":0,\"fBits\":53673992,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":1,\"fFillColor\":0,\"fFillStyle\":1001,\"fLeftMargin\":0.1,\"fRightMargin\":0.1,\"fBottomMargin\":0.1,\"fTopMargin\":0.1,\"fXfile\":2,\"fYfile\":2,\"fAfile\":1,\"fXstat\":0.99,\"fYstat\":0.99,\"fAstat\":2,\"fFrameFillColor\":0,\"fFrameLineColor\":1,\"fFrameFillStyle\":1001,\"fFrameLineStyle\":1,\"fFrameLineWidth\":1,\"fFrameBorderSize\":1,\"fFrameBorderMode\":0,\"fX1\":-1.12500004656613,\"fY1\":-0.131250009778888,\"fX2\":5.12500004656613,\"fY2\":1.18125000977889,\"fXtoAbsPixelk\":143.280053795624,\"fXtoPixelk\":143.280053795624,\"fXtoPixel\":127.359998102188,\"fYtoAbsPixelk\":514.800046590614,\"fYtoPixelk\":514.800046590614,\"fYtoPixel\":-435.809517315456,\"fUtoAbsPixelk\":5e-5,\"fUtoPixelk\":5e-5,\"fUtoPixel\":796,\"fVtoAbsPixelk\":572.00005,\"fVtoPixelk\":572,\"fVtoPixel\":-572,\"fAbsPixeltoXk\":-1.12500004656613,\"fPixeltoXk\":-1.12500004656613,\"fPixeltoX\":0.00785175891097018,\"fAbsPixeltoYk\":1.18125000977889,\"fPixeltoYk\":-0.131250009778888,\"fPixeltoY\":-0.00229458045377233,\"fXlowNDC\":0,\"fYlowNDC\":0,\"fXUpNDC\":0,\"fYUpNDC\":0,\"fWNDC\":1,\"fHNDC\":1,\"fAbsXlowNDC\":0,\"fAbsYlowNDC\":0,\"fAbsWNDC\":1,\"fAbsHNDC\":1,\"fUxmin\":-0.5,\"fUymin\":0,\"fUxmax\":4.5,\"fUymax\":1.05,\"fTheta\":30,\"fPhi\":30,\"fAspectRatio\":0,\"fNumber\":0,\"fTickx\":0,\"fTicky\":0,\"fLogx\":0,\"fLogy\":0,\"fLogz\":0,\"fPadPaint\":0,\"fCrosshair\":0,\"fCrosshairPos\":0,\"fBorderSize\":2,\"fBorderMode\":0,\"fModified\":false,\"fGridx\":false,\"fGridy\":false,\"fAbsCoord\":false,\"fEditable\":true,\"fFixedAspectRatio\":false,\"fPrimitives\":{\"_typename\":\"TList\",\"name\":\"TList\",\"arr\":[{\"_typename\":\"TFrame\",\"fUniqueID\":0,\"fBits\":50331656,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":1,\"fFillColor\":0,\"fFillStyle\":1001,\"fX1\":-0.5,\"fY1\":0,\"fX2\":4.5,\"fY2\":1.05,\"fBorderSize\":1,\"fBorderMode\":0},{\"_typename\":\"TH1F\",\"fUniqueID\":0,\"fBits\":50331656,\"fName\":\"hist_data\",\"fTitle\":\" Height vs Origen\",\"fLineColor\":602,\"fLineStyle\":1,\"fLineWidth\":1,\"fFillColor\":40,\"fFillStyle\":1001,\"fMarkerColor\":1,\"fMarkerStyle\":1,\"fMarkerSize\":1,\"fNcells\":6,\"fXaxis\":{\"_typename\":\"TAxis\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"xaxis\",\"fTitle\":\" Origen \",\"fNdivisions\":510,\"fAxisColor\":1,\"fLabelColor\":1,\"fLabelFont\":42,\"fLabelOffset\":0.005,\"fLabelSize\":0.035,\"fTickLength\":0.03,\"fTitleOffset\":1,\"fTitleSize\":0.035,\"fTitleColor\":1,\"fTitleFont\":42,\"fNbins\":4,\"fXmin\":-0.5,\"fXmax\":4.5,\"fXbins\":[],\"fFirst\":0,\"fLast\":0,\"fBits2\":0,\"fTimeDisplay\":false,\"fTimeFormat\":\"\",\"fLabels\":null,\"fModLabs\":null},\"fYaxis\":{\"_typename\":\"TAxis\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"yaxis\",\"fTitle\":\" Height \",\"fNdivisions\":510,\"fAxisColor\":1,\"fLabelColor\":1,\"fLabelFont\":42,\"fLabelOffset\":0.005,\"fLabelSize\":0.035,\"fTickLength\":0.03,\"fTitleOffset\":0,\"fTitleSize\":0.035,\"fTitleColor\":1,\"fTitleFont\":42,\"fNbins\":1,\"fXmin\":0,\"fXmax\":1,\"fXbins\":[],\"fFirst\":0,\"fLast\":0,\"fBits2\":0,\"fTimeDisplay\":false,\"fTimeFormat\":\"\",\"fLabels\":null,\"fModLabs\":null},\"fZaxis\":{\"_typename\":\"TAxis\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"zaxis\",\"fTitle\":\"\",\"fNdivisions\":510,\"fAxisColor\":1,\"fLabelColor\":1,\"fLabelFont\":42,\"fLabelOffset\":0.005,\"fLabelSize\":0.035,\"fTickLength\":0.03,\"fTitleOffset\":1,\"fTitleSize\":0.035,\"fTitleColor\":1,\"fTitleFont\":42,\"fNbins\":1,\"fXmin\":0,\"fXmax\":1,\"fXbins\":[],\"fFirst\":0,\"fLast\":0,\"fBits2\":0,\"fTimeDisplay\":false,\"fTimeFormat\":\"\",\"fLabels\":null,\"fModLabs\":null},\"fBarOffset\":0,\"fBarWidth\":1000,\"fEntries\":64,\"fTsumw\":0,\"fTsumw2\":0,\"fTsumwx\":0,\"fTsumwx2\":0,\"fMaximum\":-1111,\"fMinimum\":-1111,\"fNormFactor\":0,\"fContour\":[],\"fSumw2\":[],\"fOption\":\"\",\"fFunctions\":{\"_typename\":\"TList\",\"name\":\"TList\",\"arr\":[{\"_typename\":\"TPaveStats\",\"fUniqueID\":0,\"fBits\":50331657,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":1,\"fFillColor\":0,\"fFillStyle\":1001,\"fX1\":3.75000012665987,\"fY1\":0.885937513201498,\"fX2\":5.00000016391278,\"fY2\":1.09593751163688,\"fX1NDC\":0.780000016093254,\"fY1NDC\":0.775000005960464,\"fX2NDC\":0.980000019073486,\"fY2NDC\":0.935000002384186,\"fBorderSize\":1,\"fInit\":1,\"fShadowColor\":1,\"fCornerRadius\":0,\"fOption\":\"brNDC\",\"fName\":\"stats\",\"fTextAngle\":0,\"fTextSize\":0,\"fTextAlign\":12,\"fTextColor\":1,\"fTextFont\":42,\"fLabel\":\"\",\"fLongest\":18,\"fMargin\":0.05,\"fLines\":{\"_typename\":\"TList\",\"name\":\"TList\",\"arr\":[{\"_typename\":\"TLatex\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"\",\"fTitle\":\"hist_data\",\"fTextAngle\":0,\"fTextSize\":0.0368,\"fTextAlign\":0,\"fTextColor\":0,\"fTextFont\":0,\"fX\":0,\"fY\":0,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":2,\"fLimitFactorSize\":3,\"fOriginSize\":0.0368000008165836},{\"_typename\":\"TLatex\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"\",\"fTitle\":\"Entries = 64     \",\"fTextAngle\":0,\"fTextSize\":0,\"fTextAlign\":0,\"fTextColor\":0,\"fTextFont\":0,\"fX\":0,\"fY\":0,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":2,\"fLimitFactorSize\":3,\"fOriginSize\":0.04},{\"_typename\":\"TLatex\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"\",\"fTitle\":\"Mean  =      0\",\"fTextAngle\":0,\"fTextSize\":0,\"fTextAlign\":0,\"fTextColor\":0,\"fTextFont\":0,\"fX\":0,\"fY\":0,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":2,\"fLimitFactorSize\":3,\"fOriginSize\":0.04},{\"_typename\":\"TLatex\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"\",\"fTitle\":\"Std Dev   =      0\",\"fTextAngle\":0,\"fTextSize\":0,\"fTextAlign\":0,\"fTextColor\":0,\"fTextFont\":0,\"fX\":0,\"fY\":0,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":2,\"fLimitFactorSize\":3,\"fOriginSize\":0.04}],\"opt\":[\"\",\"\",\"\",\"\"]},\"fOptFit\":0,\"fOptStat\":1111,\"fFitFormat\":\"5.4g\",\"fStatFormat\":\"6.4g\",\"fParent\":{\"$ref\":3}}],\"opt\":[\"brNDC\"]},\"fBufferSize\":0,\"fBuffer\":[],\"fBinStatErrOpt\":0,\"fStatOverflows\":2,\"fArray\":[0,0,0,0,0,64]},{\"_typename\":\"TPaveText\",\"fUniqueID\":0,\"fBits\":50331657,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":1,\"fFillColor\":0,\"fFillStyle\":0,\"fX1\":0.999214809207741,\"fY1\":1.09483611614831,\"fX2\":3.00078519079226,\"fY2\":1.17468751593959,\"fX1NDC\":0.339874371859296,\"fY1NDC\":0.934160843929211,\"fX2NDC\":0.660125628140704,\"fY2NDC\":0.995000004768372,\"fBorderSize\":0,\"fInit\":1,\"fShadowColor\":1,\"fCornerRadius\":0,\"fOption\":\"blNDC\",\"fName\":\"title\",\"fTextAngle\":0,\"fTextSize\":0,\"fTextAlign\":22,\"fTextColor\":1,\"fTextFont\":42,\"fLabel\":\"\",\"fLongest\":17,\"fMargin\":0.05,\"fLines\":{\"_typename\":\"TList\",\"name\":\"TList\",\"arr\":[{\"_typename\":\"TLatex\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"\",\"fTitle\":\" Height vs Origen\",\"fTextAngle\":0,\"fTextSize\":0,\"fTextAlign\":0,\"fTextColor\":0,\"fTextFont\":0,\"fX\":0,\"fY\":0,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":2,\"fLimitFactorSize\":3,\"fOriginSize\":0.0517132878303528}],\"opt\":[\"\"]}}],\"opt\":[\"\",\"\",\"blNDC\"]},\"fExecs\":null,\"fName\":\"Canvas\",\"fTitle\":\"Height vs Race\",\"fNumPaletteColor\":0,\"fNextPaletteColor\":0,\"fDISPLAY\":\"$DISPLAY\",\"fDoubleBuffer\":0,\"fRetained\":true,\"fXsizeUser\":0,\"fYsizeUser\":0,\"fXsizeReal\":20,\"fYsizeReal\":15,\"fWindowTopX\":0,\"fWindowTopY\":0,\"fWindowWidth\":0,\"fWindowHeight\":0,\"fCw\":796,\"fCh\":572,\"fCatt\":{\"_typename\":\"TAttCanvas\",\"fXBetween\":2,\"fYBetween\":2,\"fTitleFromTop\":1.2,\"fXdate\":0.2,\"fYdate\":0.3,\"fAdate\":1},\"kMoveOpaque\":true,\"kResizeOpaque\":true,\"fHighLightColor\":2,\"fBatch\":true,\"kShowEventStatus\":false,\"kAutoExec\":true,\"kMenuBar\":true});\n",
+       "       Core.draw(\"root_plot_3\", obj, \"\");\n",
+       "     }\n",
+       " );\n",
+       "</script>\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "canva.Draw()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "file = uproot.open(\"/home/student/ejercicios-clase-08-datos/codigo/data_analisis.root\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[b'data_analisis;1']"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "file.keys()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'analisis' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-33-dcded93941c6>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mylabel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Tamaño'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mxlabel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Origen'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbar\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0manalisis\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'tree.origen'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mheight\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0manalisis\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'tree.tamano'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m: name 'analisis' is not defined"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#plt.title('Titulo')\n",
+    "plt.figure(figsize=(10,10))\n",
+    "plt.ylabel('Tamaño')\n",
+    "plt.xlabel('Origen')\n",
+    "plt.bar(x=analisis['tree.origen'], height=analisis['tree.tamano'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/codigo/plots_with_python.ipynb b/codigo/plots_with_python.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..457b8234334c6d586fc0633c5eb09dcb2fa65286
--- /dev/null
+++ b/codigo/plots_with_python.ipynb
@@ -0,0 +1,442 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "id": "-PzEb2NGIswS"
+   },
+   "outputs": [],
+   "source": [
+    "import io\n",
+    "import matplotlib as mpl\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "from matplotlib.colors import ListedColormap\n",
+    "from matplotlib import cm\n",
+    "from matplotlib.animation import FuncAnimation\n",
+    "from matplotlib import rc\n",
+    "from math import *\n",
+    "import matplotlib.animation as animation\n",
+    "import csv, json\n",
+    "rc('animation', html='jshtml')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 201
+    },
+    "id": "rfH6_vE3I5DY",
+    "outputId": "6cb0da62-9aeb-4fb0-8459-be599ee1510f"
+   },
+   "outputs": [],
+   "source": [
+    "covid = pd.read_csv(\"/home/gomezc/ejercicios-clase-08-datos/data-used/WHO-COVID-19-global-data.csv\",sep=\",\",decimal=\".\")\n",
+    "surveys = pd.read_csv(\"/home/gomezc/ejercicios-clase-08-datos/data-used/docs_modulo-datos_claseMD07_materialesMD07_data_surveys.csv\",sep=\",\",decimal=\".\")\n",
+    "analisis = pd.read_csv(\"/home/gomezc/ejercicios-clase-08-datos/data-used/docs_modulo-datos_claseMD07_materialesMD07_data_analisis.csv\",sep=\",\",decimal=\".\",header=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 623
+    },
+    "id": "iDQwtpZ2dFF7",
+    "outputId": "a5435cb1-4f37-4586-b54d-9e9c5ddce04b"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<BarContainer object of 32 artists>"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.rcParams.update({'font.size': 15})\n",
+    "plt.figure(figsize=(10,10))\n",
+    "plt.ylabel('Tamaño')\n",
+    "plt.xlabel('Origen')\n",
+    "plt.bar(x=analisis.origen, height=analisis['tamano'])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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E/9hjj7F+/Xr+8R//kaampsHHnDlz6Ovr409/+tOw7Z/5zGeOup+R7d3d3SxevJg99tiDyy+/nGXLlvHzn/8c8MICSdL0Uu8brE8fpRKMuPqDvr6sPWd22WUXZs2atdEcL1ua8+X+++/nF7/4BTfffDOve93rBttrtdoW33PBggVEBOeffz5HHXXURuuf/exnD3seMdrdwjZuv+666ygWi3z7298eXNfT07PFeiRJmmrsSdtaxSKUy1AoQEtLtiyXs/acmT17Ni95yUu4/vrrh7XfcMMNm33dQBibM2fOYFtPT8/gRQMDhvbaDZg3bx6HHHIIv/vd72hra9voMTKkjVWtVqOpqWlYeLvyyiu3al+SJOWZPWnboqMDFi3KhjhLpVwGtAFnnXUWb37zmzn11FNZvHgxt99+OzfeeCMA2203elZfuHAhe+yxB6eddhqf+tSneOKJJzjvvPPYfffdN9ruL3/5C5dddhkHHHAAu+yyC6VSic9+9rMceeSRbLfddhx33HE84xnP4IEHHuDGG2/kggsuYL/99hv352hvb2fJkiV8+MMf5phjjuGOO+7giiuuGP8BkSQp5+xJ21bFIhx0UK4DGsCb3vQmvvSlL/Ef//EfvOENb6C7u5vPfe5zALS0tIz6mjlz5nDttdcye/ZsjjvuOM4991zOOussXvWqVw3b7i1veQsnnngiZ5xxBgcddBDnn38+AIcffjg/+clPqFar/MM//APHHHMMn/3sZ9lzzz03eQ7alhx11FF85jOf4ZprrmHx4sXcdtttfP/739+qfUmSlGeRXf05fbS1taXly5dvcv0999zD85///DpWlF+f/vSnueCCC3j00UcpFAqNLqcu/O8vScqTiLgrpdQ22jqHO2eIarXKhRdeyKtf/Wrmzp3LT3/6Uz7zmc/Q2dk5YwKaJElTiSFthmhububee+/lm9/8JqtWreJZz3oWH/rQh/jUpz7V6NIkSdIoDGkzxPz587npppsaXYYkSRojLxyQJEnKIUOaJElSDhnSJEmScsiQJkmSlEOGNEmSpBwypEmSJOWQIU2SJCmHDGlT0Pnnn88uu+wCwH333cf555/PypUrx72fSqVCRAy792WpVOL000+fqFIlSdJWMqRNcffddx+f+MQntiqkjea6667jgx/84ITsS5IkbT3vOKBhXvKSlzS6BEmShD1pU9qtt97KMcccA8Bee+1FRFAqlQD485//zEknncTee+9NoVBgv/3245xzzqG3t3ez+xw53Lls2TIWL17Ms571LObNm8eLX/xirrzyykn7TJIkKWNP2jaqVqFSgVIJisX6vvdLX/pSPve5z3H66adz7bXX8qxnPYs5c+YA8Mgjj7DTTjvxhS98gR133HHw3LVqtcrXvva1Mb9HT08Phx12GO973/vYfvvtuf3223nXu97FdtttR0dHx2R9NEmSZjxD2jbo6oLOTmhuht5eKJehnrmlpaWF5z3veUA2TDnQiwZw4IEH8rnPfW7w+WGHHca8efM46aSTuPjii2lubh7Te5xwwgmDf6eUeOUrX8mKFSv4+te/bkiTJGkSOdy5larVLKDVarBqVbbs7Mza8yClxJIlS3jBC15AoVCgqamJt7/97Tz11FM88MADY97PY489xgc/+EFaW1tpamqiqamJSy+9lPvuu28Sq5ckSYa0rVSpZD1oQzU1Ze15sGTJEk4//XTe+MY3cv3113PnnXdyySWXALB27dox7+fEE0/k29/+Nh/96Ef54Q9/SHd3NyeddNK49iFJksbP4c6tVCplQ5xD9fVl7Xlw9dVXc9xxx3HBBRcMtv32t78d1z7Wrl3L97//fS655BLe9773DbZv2LBhwuqUJEmjsydtKxWL2TlohQK0tGTLcrn+Fw8MnFs2smerVqsNXkQwYLxXZT711FNs2LBh2H6eeOIJbrjhhq2sVpI01VWr0N2dn9N7pjN70rZBRwcsWtS4qzuBwQsHvva1r3HCCScwd+5cDjzwQNrb2/nSl77EwQcfzD777MOVV17J/fffP659z58/n4MOOohPfvKTtLS0sN1223HRRRcxf/58Hn/88cn4OJKkHGv0BXMzjT1p26hYhIMOakxAA2htbeVzn/sc1157LYcddtjgvGkf//jH6ejo4JxzzqGjo4Pm5ma+9KUvjXv/V111FXvvvTfveMc7+NCHPsSb3/xm3vGOd0z0x5Ak5VzeL5ibjiKl1OgaJlRbW1tavnz5Jtffc889PP/5z69jRcoT//tL0tbp7ob29iygDWhpgaVLs86KPKqurlJZWaG0oERxXoN6U7YgIu5KKbWNts6eNEmStEV5v2BupK67u2hd0kr75e20Lmml69ddjS5p3AxpkiRpi/JywdxYVFdX6byhk9q6GqueWkVtXY3O6zuprp5aY7NeOCBJksYkDxfMjUVlZYXmWc3U1tUG25pmNVFZWcntsOdoDGmSJGnMisX8hrMBpQUletcPH5vtW99HaUGpMQVtJYc7JUnStFKcV6R8bJnC7AItc1oozC5QPrY8pXrRwJ40SZI0DXUc0MGivRbl/urOzTGkSZKkaak4rzglw9kAhzslSZJyyJAmSZKUQ4a0Kej8888nIjZ6LFq0qNGlAXDEEUdw3HHHNboMSZKmNM9Jm6Lmz5/Pf/7nf27Ulgdf+cpXaGpqanQZkiRNaYa0KWr27NkccsghW9yuVqtRKBTqUNHTXvCCF9T1/SRJmo4c7pxGKpUKEcGVV17JO97xDhYsWMAxxxwDwDe/+U0OP/xwdtppJ3bccUde/epXM/JG9CeeeCJtbW3813/9Fy984QuZN28ehx9+OL/5zW+Gbbd+/XouvPBC9ttvP+bMmcMee+zBiSeeOLh+5HDnvffeywknnMCee+7J3Llz2X///VmyZAkbNmyYvIMhSdIUZ0/aNqqurjZsDpZ169YNe55SAuD000/nTW96E1dffTWzZs0CsgD3jne8g3322Yfe3l66urp4xStewW9+8xv23nvvwX088MADfPSjH+Wf/umfKBQKnH766bz1rW/l7rvvJiIAeO9738s3v/lNzjjjDF71qlfx6KOPcs0112yyzgcffJDnPe95vP3tb+cZz3gGv/zlLznvvPOo1WqcddZZE31YJEmaFgxp26Dr7i46b+ikeVYzvet7KR9bpuOAjrq891//+teNzvv6+te/DsAhhxzCJZdcMmzdxz/+8cG/N2zYQHt7O3feeSdXXHHFsHWPPvoot99+O8997nMHt33jG9/I7373OxYuXMi9995LuVzmi1/8Ih/84AcHX/fWt751k7UeeeSRHHnkkUAWJA8//HDWrFnD17/+dUOaJEmbYEjbStXVVTpv6KS2rjZ4A9fO6ztZtNeiuvSozZ8/n6VLlw5rmzNnDgBHH330Rtvfc889nH322dxxxx08/PDDg+333XffsO1KpdJgQIOnzy9bsWIFCxcu5JZbbgEYNry5JWvXruXCCy/kyiuv5IEHHqCvr29w3bp165g926+hJEkj+a/jVqqsrNA8q3kwoAE0zWqisrJSl5A2e/Zs2trahtdUqQDwzGc+c1j7E088wWtf+1qe+cxn8oUvfIHW1la233573v3ud7N27dph2y5YsGDY8+bmZoDB7f76178yb948Wlpaxlzrxz72Mf7f//t/nHfeebz0pS9lwYIFXH/99Xz6059m7dq17LDDDmPelyRJM4UhbSuVFpToXd87rK1vfR+lBaXGFDTEwLljA5YtW8aKFSv4r//6LxYuXDjYvmrVqnHve+edd2b16tU8/vjjYw5qV199NR/4wAc444wzBttuvPHGcb+3JEkziVd3bqXivCLlY8sUZhdomdNCYXaB8rHlXN4jrFbLevsGhkMB7rjjjsGet/F4zWteA2RXi47n/Ye+9/r16/nWt7417veWJGkmsSdtG3Qc0MGivRY17OrOsTrkkEPYYYcdeM973sMZZ5zBihUrOP/889l9993Hva/nPe95nHzyyZx22mk8/PDDvPKVr2TlypV897vf3WTwam9v55JLLmHfffdlp5124pJLLuGpp57a1o8lSdK0Zk/aNirOK3LQ7gflNqBBdo7a1VdfzUMPPcSxxx7LkiVL+OpXv8q+++67Vfv7yle+wnnnnccVV1zBUUcdxYc//GHmzp27ye0vvvhiXvGKV3DKKadw0kknccABB3hVpyRJWxADc2vV7Q0jTgS+Mcqq96eUvtq/TQBnAe8HdgG6gQ+mlH65pf23tbWlkZO0DnXPPffw/Oc/f/yFa1rwv78kKU8i4q6UUtto6xo53PkaoDbk+R+G/H0mcC7wUeBe4CPA0og4IKX0UP1KlCRJaoxGhrTulNKTIxsjYnuykHZhSunL/W3LgApwKnBOPYuUJElqhDyek3Yo0AJ8Z6AhpbQa+B7w+kYVJUmSVE+NDGn/ExHrIuJ3EfHeIe0LgfXA70dsf0//OkmSpGmvEcOdfyY73+xOYBZwAvDViJibUvq/wI7Akyml9SNe9xgwNyKaU0rDZpGNiJOBkwGe85znbLGAlNJGE75q+qv3RTKSNFbV1dXcT+ek+qt7SEsp/QD4wZCmm/vPQzsnIr64lfu8FLgUsqs7N7dtU1MTtVpts1NGaHqq1Wob3ZRekhqt6+4uOm/opHlWM73reykfW6bjgI5Gl6UcyMs5ad8FdgJKZD1mO0TErBHb7AisGdmLNl677rorDz74IGvWrLFnZYZIKbFmzRoefPBBdt1110aXI0mDqqurdN7QSW1djVVPraK2rkbn9Z1UV1cbXZpyIC93HEhDlveSDYPuC/xuyDYL+9dtk4H7Tf7v//4vfX1927o7TRFNTU0885nPHNeN4SVpslVWVmie1Uxt3dMzUjXNaqKysuKwp3IT0o4DHgF6yM5Zexw4Hvg0QETMBY6hf0hzW7W0tPiPtSRpYlWrUKlAqQTFsQWs0oISveuHDxD1re+jtKA04eVp6qn7cGdEXBMRH4uI10fE30XE5cBbgU+mlDaklNYCFwFnR8QpEXEkcHV/rRfXu15JkraoqwtaW6G9PVt2dY3pZcV5RcrHlinMLtAyp4XC7ALlY8v2oglozG2h/hl4M7AnEMBvgSUppcuHbBPA2WS3hdoZWE52W6hfbGn/W7otlCRJE6pazYJZbchNdAoF6OkZc4+aV3fOXLm6LVRK6WyyALa5bRJwQf9DkqT8qlSguXl4SGtqytrHGNKK84qGM20kL1d3SpI0NZVK0Dti4oG+vqxd2gaGNEmStkWxCOVyNsTZ0pIty+Ux96JJm5KXqzslSZq6Ojpg0aJxX90pbY4hTZKkiVAsGs40oRzulCRJyiFDmiRJUg4Z0iRJknLIkCZJkpRDhjRJkqQcMqRJkiTlkCFNkiQphwxpkiRJOWRIkyRJyiFDmiQpt6rVKt3d3VSr1UaXItWdIU2SlEtdXV20trbS3t5Oa2srXV1djS5JqqtIKTW6hgnV1taWli9f3ugyJEnboFqt0traSq1WG2wrFAr09PRQ9P6YmkYi4q6UUtto6+xJkyTlTqVSobm5eVhbU1MTlUqlMQVJDWBIkyTlTqlUore3d1hbX18fpVKpMQVJDWBIkyTlTrFYpFwuUygUaGlpoVAoUC6XHerUjDK70QVIkjSajo4OFi1aRKVSoVQqGdA04xjSJEm5VSwWDWeasRzulCRJyiFDmiRJUg4Z0iRJknLIkCZJkpRDhjRJkqQcMqRJkiTlkCFNkiQphwxpkiRJOWRIkyRJyiFDmiRJUg4Z0iRJknLIkCZJkpRDhjRJ0phUV1fpfrCb6upqo0uZVDPlcyr/DGmSpC3quruL1iWttF/eTuuSVrp+3dXokibFTPmcmhoipdToGiZUW1tbWr58eaPLkKRpo7q6SuuSVmrraoNthdkFej7cQ3FesYGVTayZ8jmVLxFxV0qpbbR19qRJkjarsrJC86zmYW1Ns5qorKw0pqBJMlM+p6YOQ5okabNKC0r0ru8d1ta3vo/SglJjCpokM+VzauowpEmSNqs4r0j52DKF2QVa5rRQmF2gfGx52g0BzpTPqanDc9IkSWNSXV2lsrJCaUFpWgeXmfI5lQ+bOydtdr2LkSRNTcV5xRkRWmbK51T+OdwpSZKUQ4Y0SZKkHDKkSZIk5ZAhTZIkKYcMaZIkSTlkSJMkScohQ5okSVIOGdIkSZJyyJAmSZKUQ4Y0SdKkqlardHd3U61WG12KNKUY0iRJk6arq4vW1lba29tpbW2lq6ur0SVJU4Y3WJckTYpqtUprayu1Wm2wrVAo0NPTQ7HovTEl2PwN1u1Jk6QpaCoMIVYqFZqbm4e1NTU1UalUGlOQNMUY0iRpipkqQ4ilUone3t5hbX19fZRKpcYUJE0xDQ1pEbF7RDwZESkidhjSHhFxdkT8KSJqEfGTiHhxA0uVpFyoVqt0dnZSq9VYtWoVtVqNzs7OXPaoFYtFyuUyhUKBlpYWCoUC5XLZoU5pjBrdk/YvwJOjtJ8JnAt8Bjimf5ulEbFbHWuTpNyZakOIHR0d9PT0sHTpUnp6eujo6Gh0SdKUsdUhLSKatuWNI+KVwOuAz41o354spF2YUvpySmkpcDyQgFO35T0laaqbmkOIReCg/qWksRpXSIuIQyPi5oh4AlgbEU9ExE0R8Tfj3M8s4GLgk8AjI1YfCrQA3xloSCmtBr4HvH487yNJ081UG0Ls6oLWVmhvz5Y5PX1OyqUxh7SIaAduBfYgG6b8x/7lHsCtEbFoHO/7PmAOcMko6xYC64Hfj2i/p3+dJM1oU2UIsVqFzk6o1WDVqmzZ2Zm1S9qy2ePY9gLgBuD4NHxytU9GxDXAPwNLt7STiNgZ+BTw9ymlvogYucmOwJMppfUj2h8D5kZEc0ppWF9/RJwMnAzwnOc8ZxwfSZKmpmKxmNveswGVCjQ3Z+FsQFNT1p7z0qVcGM9w54HA19Pos99e2r9+LC4Afp5Sumkc771ZKaVLU0ptKaW2vP9oSdJMUSrBiNPn6OvL2iVt2XhC2kpgn02s26d//WZFxP7ASWS9bwsiYgEwt3/1/IgokPWY7dB/3tpQOwJrRvaiSZLyqViEchkKBWhpyZblsr1o0liNZ7jzauDCiHgc+G5KaW3/lZjHkQ11/vsY9vFcoAlYNsq6FUAZuAqYBewL/G7I+oXAveOoV5LUYB0dsGhRNsRZKhnQpPEYT0j7GLAzWRj794h4EhiYgLarf/2W/Ax49Yi21/W/9ijgD0AP8DjZtBufBoiIuWTzpV06jnolSSNVq3VPTMWi4UzaGmMOaSmlGvD2iPgU8HJgN+DPQHdKaUw9XCmlR8iuEB0UEaX+P3+aUnqyv+0i4NyIeIys9+wjZEOzF4+1XknSCF1d2eWVzc3ZyWLlctbVJSmXxtOTBkB/IJvsYceLyELZWWS9d8uB9pTSXyb5fSVpeho6H8bA5ZadndlYpN1cUi6NO6RFxH5kc6NtP3Ld1lyxmVK6DLhsRFsiuwr0gvHuT5I0CufDkKacMYe0iHgB8C1gf2Cjyc3Ibts08opMSVIeOB+GNOWMpyfta2R3CXgT8FvAqTAkaaoYmA+jszPrQevrcz4MKefGE9JeApyQUvr+ZBUjSZpEzochTSnjCWn/wyjnoUmSphDnw5CmjPHcceA04OyI2HuyipEkSVJmPD1pFwK7A/dGRIVRbgOVUnr5xJQlSZI0s40npP26/yFJkqRJNp47DrxrMguRJEnS08ZzTpokSZLqZFx3HOi/z+bfA/sx+h0H3jIxZUmSJM1s47njwMuAnwAPkIW0XwHzgRKwArh/EuqTJEmakcYz3PkvwNXAAWS3hepMKe0NHE52S6jPTnx5kiRJM9N4QtqLgS5gQ//z7QFSSncAnwAumtDKJEmSZrDxhLQE9KaUEvAw0Dpk3Z+A505kYZIkSTPZeELab4F9+v9eBvyfiHhuRLQCZ5DdNkqSJEkTYDxXd17K071nZwM/BO7tf74aOG4C65IkSZrRxjOZ7eVD/r4nIp4PHEp2btrPU0oPT0J9kiRJM9K45kkbKqX0JFlvmiRJkibYeCez3R54FdmN1kdOZptSSv86UYVJkiTNZOOZzPbVwHeAnTexSQIMaZIkSRNgPFd3XgL8EtgfmJNS2m7EY9akVChJkjQDjWe4c0/ggymleyarGEmSJGXG05O2FHjhZBUiSZKkp42nJ+1koCsiCsAtwMqRG6SUfjtBdUmSJM1o4wlpc4E5wKfILhIYKvrbPC9NkiRpAownpF1Bdl7aKcD9QO+kVCRJkqRxhbSXASeklG6YrGIkSZKUGc+FA78B5k1WIZIkSXraeELaKcAZEXH4ZBUjSZKkzHiGO28ku3jgtojoBZ4YuUFKadeJKkySJGkmG09Iu4SNr+qUJEnSJBhzSEspnT+JdUiSJGmI8ZyTJkmSpDoZz3AnEfE3QCewH7D9yPUppZdPUF2SJEkz2ph70iKiHfgJsAdwOFAFngReBOwM/HoyCpQkSZqJxjPc+Ungi8DR/c/PTSm9hqxXrQ+4dWJLkyRJmrnGE9JeANwMbCC7ynMeQEqpBzgf+KeJLk6SJGmmGk9IWwtsl1JKwJ+BfYase5xsGFSSJEkTYDwXDvw38Dzgv4AfAWdFxINkN1r/JHD3xJcnSZI0M42nJ20JT09mezawGvgBcAuwK9ltoyRJkjQBxhPS2oDrAFJKDwIvI+tZezHZ1Z5Hb/KVkiRJGpfxhLTzGHLeWcr8PqX0K6DYv16SJEkTYDwhLdj0vTv3AB7b9nIkSZIEW7hwICLeCbyz/2kC/jUiHh+x2fbAgcAPJ748SZKkmWlLV3euAf7a/3cAq4BHR2zTSzZ/2lcmtjRJkqSZa7MhLaV0NXA1QER8A/hkSumP9ShMkiRpJhvzPGkppXdNZiGSNCGqVahUoFSCYrHR1UjSVhvPhQOSlG9dXdDaCu3t2bKrq9EVSdJWM6RJmh6qVejshFoNVq3Klp2dWbskTUGGNEnTQ6UCzc3D25qasnZJmoIMaZKmh1IJenuHt/X1Ze2SNAUZ0iRND8UilMtQKEBLS7Ysl714QNKUNearOyUp9zo6YNEir+6UNC0Y0iRNL8Wi4UzStOBwpyRJUg7VNaRFxHERcUdE/DUi1kbE7yLinIhoHrJNRMTZEfGniKhFxE8i4sX1rFOSJKnR6t2TtjPwY+DdwOuBfwP+CfjCkG3OBM4FPgMcAzwJLI2I3epbqiRJUuPU9Zy0lNLXRjTdEhEtwCkR8QFgDllIuzCl9GWAiFgGVIBTgXPqWK4kSVLD5OGctL8CA8OdhwItwHcGVqaUVgPfI+t5kyRJmhEaEtIiYlZEzI2Iw4EPAv+aUkrAQmA98PsRL7mnf50kSdKM0KgpOFaTDW0CfBP4aP/fOwJPppTWj9j+MWBuRDSnlEZMKQ4RcTJwMsBznvOcyalYkiSpjho13Hko8ArgNOBY4MvbsrOU0qUppbaUUlvR+ZEkSdI00JCetJTS/9f/588i4hHg3yPi82Q9ZjtExKwRvWk7AmtG60WTJEmajvJw4cBAYNsLuBeYBew7YpuF/eukGa1ahe7ubClJmt7yENIO61/+EbgDeBw4fmBlRMwlmy/t5vqXJuVHVxe0tkJ7e7bs6mp0RZKkyVTX4c6I+E9gKfAbsqs4DyM7L+3bKaX/6d/mIuDciHiMrPfsI2Rh8uJ61irlSbUKnZ1Qq2UPyJ4vWuRtKiVpuqr3OWndwIlACVgH/AE4C/jqkG0uIgtlZ5HdoWA50J5S+ks9C5XypFKB5uanAxpAU1PWbkiTpOmp3nccOJfslk+b2yYBF/Q/JAGlEvSOuGymry9rz7NqNQuSpZJhUpLGKw/npEnagmIRymUoFKClJVuWy/kOPp5DJ0nbJrKOq+mjra0tLV++vNFlSJNiqvRMVatZMBs6PFsoQE9PvuuWpHqLiLtSSm2jrWvUHQckbYVicWqEHM+hk6Rt53CnpAk3Vc+hk6Q8MaRJmnBT8Rw6ScobhzslTYqOjmwet6lwDp0k5ZEhTdKkacg5dFPl6gpJ2gKHOyVNH877IWkaMaRJmh6G3jtr1aps2dnp3eglTVmGNEnTw8C8H0MNzPshSVOQIU3S9OC8H5KmGUOapOnBeT8kTTNe3Slp+nDeD0nTiCFN0vQyVe6dJUlb4HCnJElSDhnSJEmScsiQJmmzqtUq3d3dVOs431h1dZXuB7uprnaOM0kzlyFN0iZ1dXXR2tpKe3s7ra2tdNVhBv+uu7toXdJK++XttC5ppevX3jVA0swUKaVG1zCh2tra0vLlyxtdhjTlVatVWltbqdVqg22FQoGenh6Kk3RifnV1ldYlrdTWDXnP2QV6PtxDcZ4XA0iafiLirpRS22jr7EmTNKpKpULziBn8m5qaqIxjBv/xDpVWVlZonjXiPWc1UVk59veUpOnCkCZpVKVSid4RM/j39fVRGuMM/lszVFpaUKJ3/Yj3XN9HacHY3lOSphNDmqRRFYtFyuUyhUKBlpYWCoUC5XJ5TEOd1WqVzs5OarUaq1atolar0dnZucUeteK8IuVjyxRmF2iZ00JhdoHysWWHOiXNSE5mK2mTOjo6WLRoEZVKhVKpNOZz0QaGSoeezzYwVLqlfXQc0MGivRZRWVmhtKBkQJM0YxnSJG1WsVgc94UC2zpUWpxXNJxJmvEc7pQ04bZlqFSSlLEnTdKk2NqhUklSxpAmadJszVCpJCnjcKckSVIOGdIkSZJyyJAmSZKUQ4Y0SZKkHDKkSZIk5ZAhTZIkKYcMaZIkSTlkSJMkScohQ5okSVIOGdIkSZJyyJAmSZKUQ4Y0SZKkHDKkSZIk5ZAhTZIkKYcMaZIkSTlkSJMkScohQ5okSVIOGdIkSZJyyJAmSZKUQ4Y0aaaoVqG7O1tKknLPkCbNBF1d0NoK7e3Zsqur0RVJkrbAkCZNd9UqdHZCrQarVmXLzk571CQp5wxp0nRXqUBz8/C2pqasXZKUW4Y0aborlaC3d3hbX1/WLknKLUOaNN0Vi1AuQ6EALS3ZslzO2iVJuTW70QVIqoOODli0KBviLJUMaJI0BRjSpAaoVhuQl4pFw5kkTSF1He6MiOMj4oaIeDAinoyIuyKiY5Tt3hMRv4+Itf3bHFnPOqXJ5GwYkqSxqPc5aR8BngT+D7AYuAW4KiI+MLBBf2j7KvBN4PXAb4DvR8QBda5VmnDOhiFJGqt6D3cek1J6ZMjzH0fEs8nC28X9becD/55S+hRARNwGvAQ4E/j7OtYqTbiB2TBqtafbBmbDcCRSkjRUXXvSRgS0Ab8Ang0QEXsD+wHfGfKaDcDVZL1q0pTmbBiSpLHKwxQcfwPc1//3wv7lvSO2uQfYKSLsa9CU5mwYkqSxaujVnf0XBLwBOKm/acf+5coRmz42ZP1GZ+9ExMnAyQDPec5zJrpMaUI5G4YkaSwaFtIiogRcBVyfUrpsW/aVUroUuBSgra0tbXNx0iRzNgxJ0pY0ZLgzInYCbgZ6gLcPWTXQYzZ/xEt2HLFekiRpWqt7SIuIucD3gWbg71JKa4asHjgXbeGIly0EHk0pOVGBJEmaEeo9me1ssis1nwu8LqX08ND1KaU/kF1EcPyQ12zX//zmOpYq5VK1WqW7u5uqE6tJ0rRX73PSvgIcBXwI2Dkidh6y7hcppafI5km7IiIqwO3AO8lC3dvqW6qUL11dXXR2dtLc3Exvby/lcpmOjo1u2CFJmiYipfqdZ98fvFo3sXqvlFKlf7v3AB8D9iS748BHU0o/Gst7tLW1peXLl297sVKOVKtVWltbqQ2ZBbdQKNDT00PRKxAkacqKiLtSSm2jratrT1pKqTTG7b4OfH1yq5GmjkqlQnNz87CQ1tTURKVSMaRJ0jSVh8lsJW1BqVSid8StCvr6+ih5qwJJmrYMadIUUCwWKZfLFAoFWlpaKBQKlMtle9EkaRpr6B0HJI1dR0cHixYtolKpUCqVDGiSNM0Z0qQppFgsGs4kaYZwuFOSJCmHDGmSJEk5ZEjTjFetQnd3tpQkKS8MaZrRurqgtRXa27NlV1ejK5IkKWNI04xVrUJnJ9RqsGpVtuzstEdNkpQPhjTNWJUKNDcPb2tqytolSWo0Q5omXHV1le4Hu6muzneXVKkEIybxp68va5ckqdEMaZpQXXd30bqklfbL22ld0krXr/N7klexCOUyFArQ0pIty+WsXZKkRouUUqNrmFBtbW1p+fLljS5jRqqurtK6pJXauqdvAl6YXaDnwz0U5+U3+VSr2RBnqWRAkyTVV0TclVJqG22ddxzQhKmsrNA8q3lYSGua1URlZSXXIa1YNJxJkvLH4U5NmNKCEr3rh5/k1be+j9KCUmMKkiRpCjOkacIU5xUpH1umMLtAy5wWCrMLlI8t57oXTZKkvHK4UxOq44AOFu21iMrKCqUFJQOaJElbyZCmCVecVzScSZK0jRzulCRJyiFDmiRJUg4Z0rRJU+XOAZIkTUeGNI1qKt05QJKk6ciQpo1UV1fpvKGT2roaq55aRW1djc7rO+1RkySpjgxp2sjAnQOGGrhzwFhUq9DdnS0lSdLWMaRpI9ty54CuLmhthfb2bNnlKKkkSVvFkKaNbO2dA6pV6OyEWg1WrcqWnZ32qEmStDWczFaj2po7B1Qq0NychbMBTU1ZuzcwlyRpfAxp2qTx3jmgVILe4aOk9PVl7ZIkaXwc7tSEKRahXIZCAVpasmW5bC+aJElbw540TaiODli0KBviLJUMaJIkbS1DmiZcsWg4kyRpWzncKUmSlEOGNEmSpBwypEmSJOWQIW2KqFardHd3U3VmWEmSZgRD2hTQ1dVFa2sr7e3ttLa20uW9liRJmvYipdToGiZUW1tbWr58eaPLmDDVapXW1lZqQ6bxLxQK9PT0UPQSSkmSprSIuCul1DbaOnvScq5SqdDc3DysrampiUql0piCJElSXRjScq5UKtE74l5LfX19lLzXkiRJ05ohLeeKxSLlcplCoUBLSwuFQoFyuexQpyRJ05x3HJgCOjo6WLRoEZVKhVKpZECTJGkGMKRNEcVi0XAmSdIM4nCnJElSDhnSJEmScsiQNs1Vq9DdnS0lSdLUYUibxrq6oLUV2tuzpTcqkCRp6jCkTVPVKnR2Qq0Gq1Zly85Oe9QkSZoqDGlbobq6SveD3VRX5zfxVCow4kYFNDVl7ZIkKf8MaePUdXcXrUtaab+8ndYlrXT9Op9jiKUSjLhRAX19WbskSco/Q9o4VFdX6byhk9q6GqueWkVtXY3O6ztz2aNWLEK5DIUCtLRky3I5a5ckSfnnZLbjUFlZoXlWM7V1tcG2pllNVFZWKM7LX/rp6IBFi7IhzlLJgCZJ0lRiSBuH0oISvetH3Ox8fR+lBaWx7aBarXtiKhYNZ5IkTUUOd45DcV6R8rFlCrMLtMxpoTC7QPnY8th60ZwPQ5IkjUOklBpdw4Rqa2tLy5cvn9T3qK6uUllZobSgNLaAVq1mwaz29DAphQL09NjNJUnSDBYRd6WU2kZb53DnVijOK47vHLSB+TCGhrSB+TAMaZIkaRR1H+6MiH0j4msR8auIWB8Rt46yTUTE2RHxp4ioRcRPIuLF9a51wjgfhiRJGqdGnJO2P3AU8Dvgvk1scyZwLvAZ4BjgSWBpROxWlwonmvNhSJKkcar7OWkRsV1KaUP/398FdkkpHTFk/fbAX4DPp5Q+2d82D6gAX0spnbO5/dfjnLSt1oCrOyVJUn5t7py0uvekDQS0zTgUaAG+M+Q1q4HvAa+fxNImX7EIBx1kQJMkSVuUxyk4FgLrgd+PaL+nf50kSdK0l8eQtiPwZEpp/Yj2x4C5EdE88gURcXJELI+I5dVq/m7RJEmSNF55DGnjllK6NKXUllJqKzqUKEmSpoE8hrTHgB0iYtaI9h2BNSml3lFeI0mSNK3kMaTdC8wC9h3RvrB/nSRJ0rSXx5B2B/A4cPxAQ0TMJZsv7eZGFSVJklRPdb8tVH/gOqr/6e5AS0Qc1//8ppTSmoi4CDg3Ih4j6z37CFmgvLje9UqSJDVCI+7duStw9Yi2ged7kU1aexFZKDsL2BlYDrSnlP5SpxolSZIaqu4hLaVUAWIL2yTggv6HJEnSjJPHc9IkSZJmPEOaJElSDhnSJEmSciiy07+mj4ioAj11eKtdgEfq8D5TlcdnyzxGm+fx2TKP0eZ5fDbP47Nl9ThGrSmlUW+XNO1CWr1ExPKUUluj68grj8+WeYw2z+OzZR6jzfP4bJ7HZ8safYwc7pQkScohQ5okSVIOGdK23qWNLiDnPD5b5jHaPI/PlnmMNs/js3keny1r6DHynDRJkqQcsidNkiQphwxpkiRJOWRIG6OIODEi0iiP9zW6tkaIiH0j4msR8auIWB8Rt46yTUTE2RHxp4ioRcRPIuLF9a+2McZ4jCqjfKceakC5dRcRx0fEDRHxYEQ8GRF3RUTHKNu9JyJ+HxFr+7c5shH11ttYjk9E3LqJ36XtG1V3PUXEcRFxR0T8tf/78buIOCcimodsM2N/h8Z4fGbsb9BIEbF7///WUkTsMKS9Yd+hut9gfRp4DVAb8vwPjSqkwfYHjgJ+DjRtYpszgXOBjwL3Ah8BlkbEASmlmfAjMJZjBHAVcPGQ572TWVSOfAT4I/B/yCaLPAq4KiJ2SSldDNAfSr4KnA/8DHgX8P2IOCil9OuGVF0/Wzw+/W4Bzh7x2qfqU2LD7Qz8GPgXYCXwcrLvym7Aqf3bzOTfobEcH5i5v0Ej/QvwJDBvRHvjvkMpJR9jeAAnAgnYodG15OEBbDfk7+8Ct45Yvz2wCvj4kLZ5QBX4dKPrz8Mx6m+vAJ9rdK0NOj67jNJ2FfDHIc9/B/zb0GMK3A1c0ej6c3J8bgW+2+ha8/QALiALJOHv0OaPT//zGfsbNOK4vBJ4FDh96L/1jf4OOdyprZJS2rCFTQ4FWoDvDHnNauB7wOsnsbTcGMMxmtFSSqPdauUXwLMBImJvYD+Gf4c2AFczA75DWzo+2qS/AgPDeTP+d2gUQ4+PgIiYRdaT+Ek2vgVUQ79DhrTx+5+IWNc/tv/eRheTYwuB9cDvR7Tf079OT+uMiN6IWBUR342I1kYX1EB/A9zX//fA9+TeEdvcA+wUEaPe626aG3p8Brw2Itb0P34QES9sRGGNFBGzImJuRBwOfBD415R1efg7xGaPz4CZ/hv0PmAOcMko6xr6HfKctLH7M9mY9J3ALOAE4KsRMTel9H8bWlk+7Qg8mVJaP6L9MWBuRDSnlGbqeQ9DXU92ztoK4PnAecBPI+LAlNKqhlZWZ/0XBLwBOKm/acf+5coRmz42ZH110gvLiVGOD8BtwL8D9wOtwD+RfX9elFKq1LvGBlpN9o8swDfJzh0Cf4cGbOr4wAz/DYqInYFPAX+fUuqLiJGbNPQ7ZEgbo5TSD4AfDGm6uf8KqnMi4osObWlrpJQ+NOTpTyPiDuCXZCfIL2lETY0QESWy862uTyld1thq8mdTxyeldN6QzX4aEUvJeh4/3P+YKQ4F5pKdGP9x4MvAPza0onzZ5PHxN4gLgJ+nlG5qdCGjMaRtm+8CbwFKzNyrPDflMWCHiJg14v+B7AismSH/73XcUkq/jojfAS9tdC31EhE7ATcDPcDbh6wa6DGbz/DetB1HrJ/WNnN8NpJSeigibmcGfX8AUkr/X/+fP4uIR4B/j4jP4+8QsOnjk1L6n1G2nTG/QRGxP1nP9CsjYkF/89z+5fyIWE+Dv0Oek7Zt0oilnnYv2bDwviPaF7LxOUYaLjFDvlMRMRf4PtmJzH+XUlozZPXA92TkeR8LgUdTStN+qHMLx2dTZsz3ZxMGAsle+Ds0mqHHZ1NmynfouWTTIy0jC2OP8fR5aSvILiZo6HfIkLZtjiO7EqSn0YXk0B3A48DxAw39/+AcQ9YroFFExAFk/+O/q9G1TLaImE12peZzgdellB4euj6l9Aeyk+SHfoe2638+7b9DWzo+m3jNbsDhzIDvz2Yc1r/8I/4OjWbo8dnITPoNIpt78dUjHp/pX3cU2bxpDf0OOdw5RhFxDdlFA78iS9Vv7X98cCaej9b/JT2q/+nuQEtEHNf//KaU0pqIuAg4NyIe4+kJALdj+KSJ09aWjhHZD8Lfk/WU/C/ZD+M5wAPAZXUttjG+QnZ8PgTs3H8C74BfpJSeIpt484qIqAC3A+8kCy1vq2+pDbHZ4wM8D7iQLMj1AM8BzgI2MDPOJSIi/hNYCvyG7Aq8w4DTgG8PDOXN5N+hLR2fiDiaGfwb1D/Nza1D2/rP/wT4aUrpyf62xn2HGj2B3FR5AP9MNrHmGrI7DtwF/EOj62rg8SjxdJf4yEepf5sgu9psRf8x+ynwkkbXnpdjBLwQ+BHZFYp9wENkP4zPbnTtdTo+lS19h/q3ew/Z1YtPkQ3VHNno2vNwfMiC/01kV573ks1/dQ2wsNG11/EYfQr4Ndks8Sv7vx8fAJqGbDNjf4e2dHxm+m/QJo7ZiYyYuL6R36GBGYclSZKUI56TJkmSlEOGNEmSpBwypEmSJOWQIU2SJCmHDGmSJEk5ZEiTJEnKIUOaJElSDhnSJEmScsiQJkmSlEOGNEkzQkRcFhHLI+INEXFvRKyNiJ9FxAuGbLNdRJwZEfdHxFMRcV9EvHPEfg6PiJ9GxOP9j19GxNCbL8+KiPMj4oH+ffwmImbCvUYlTTBDmqSZpBX4Atk9Dd8GzAd+EBHb96+/mOwG05cCRwPXAf8WEX8HEBEtZDej/gPwZuA44HJgwZD3+CTZff4uBRaT3Rj+yojomMwPJmn68d6dkmaEiLgMeCdwWErpjv62VuB/gFOBpcB9wLtSSv8+5HXfBJ6fUjooItqAbqAlpfTEKO+xE/An4LMppU8Mab8J2Cel9LzJ+nySph970iTNJA8PBDSAlFIPcBfwcuBIYANwXUTMHngAPwJeHBGzyALdk8BVEXFsRCwYsf8DgLnA1SPavw3sFxHFyfhQkqYnQ5qkmeThTbQ9C9gFmAWsAvqGPC4DZgPPSik9BrQDTcB3gGpE3BgRe/fv61n9y7+MeI+B5ztNzMeQNBPMbnQBklRHu26i7TfAo8A64DCyHrWRHgZIKf0ceF1EFIBFZOe4XQUcAvx5yD7/OuS1z+xfPrqN9UuaQexJkzST7BoRhw48iYjnAC8F7gR+TNaTNj+ltHyUR+/QHaWUaiml7wH/BgxcIfprYA1wPMO9BbgvpVSdnI8laTqyJ03STPIIcEVEnAPUgE+Q9ZBdllJaGxFfBb4VEZ8FlgPbA/sD+6WU3h0RRwMnAf8BPADsDryXLOCRUno0IpYA50TEuv59vAk4CvDqTknjYkiTNJP0AP8MXEQ2Hcdy4G0ppbX9608hu8LzPWRTaTwO/BYo96+/H0j9+9gVqJJNyXH2kPf4ONmw6fvJhjnvB/4+pfStSftUkqYlp+CQNCP0T8FxQEqprdG1SNJYeE6aJElSDhnSJEmScsjhTkmSpByyJ02SJCmHDGmSJEk5ZEiTJEnKIUOaJElSDhnSJEmScuj/B3Kf3w7oO3vYAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 720x504 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "colors = [\"black\",\"red\",\"blue\",\"green\"]\n",
+    "\n",
+    "fig,ax = plt.subplots(figsize=(10,7))\n",
+    "for origen, color in zip(analisis.origen.unique(),colors):\n",
+    "    df = analisis[analisis['origen']==origen]\n",
+    "    df.plot(ax=ax,x='peso',y='tamano',kind='scatter',color=color,label=origen)\n",
+    "    \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 790
+    },
+    "id": "QuO2Cuz1ddmI",
+    "outputId": "1a373b54-4e8e-436f-b95f-48c12a127e63"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<BarContainer object of 237 artists>"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 2880x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "filtered = covid[covid.Date_reported.eq('2021-02-25')]\n",
+    "\n",
+    "plt.figure(figsize=(40,10))\n",
+    "plt.xticks(rotation=90)\n",
+    "plt.title('Total de muertes para el 25-02-21')\n",
+    "plt.ylabel('Muertes')\n",
+    "plt.xlabel('Pais')\n",
+    "plt.bar(x=filtered['Country'], height=filtered['Cumulative_deaths'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "id": "iGNc1_UwVNYu"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<BarContainer object of 420 artists>"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 7200x1440 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "USA = covid[covid.Country.eq('United States of America')]\n",
+    "plt.figure(figsize=(100,20))\n",
+    "plt.xticks(rotation=-90)\n",
+    "plt.title('Progreso de muertes en EE.UU.')\n",
+    "plt.ylabel('Muertes')\n",
+    "plt.xlabel('Fecha')\n",
+    "plt.bar(x=USA['Date_reported'], height=USA['New_deaths'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 419
+    },
+    "id": "mRGlSJKCGQ24",
+    "outputId": "9037b7c4-56d7-4dda-a607-17ae61f00c27"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Mode\n",
+      "0     84876\n",
+      "1     84894\n",
+      "2     96666\n",
+      "3    121747\n",
+      "4    156705\n",
+      "5    181809\n",
+      "6    248529\n",
+      "7    499017\n",
+      "dtype: int64\n",
+      "\n",
+      "Median\n",
+      "139226.0\n",
+      "\n",
+      "Mean\n",
+      "184280.375\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<BarContainer object of 8 artists>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 1440x1440 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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AGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIaz9OhVVT9WVb3B4xELY6qqnlBVH6uqS6rqrVV1uw2OdZuqekNVXVxVn6yqp1TVQevGLP1YAAAAAKzWKs/0+p4kd1p4vHJh34lJTkry9CTHJ7koydlVdcO1AVV1eJKzk3SS+yV5SpLHJnnyuvez1GMBAAAAsHoHr/B9v6u7L1q/saqunikuPa27T523/W2Sc5M8MsmT5qGPSHJokgd094VJXl9V10pyclU9o7svXNGxAAAAAFixrbim152TXCvJS9c2dPfnkpyZ5LiFccclee0cqda8OFO8uusKjwUAAADAiq0yen2oqr5YVe+vqp9Z2H5MksuTfHDd+PfN+xbHnbM4oLvPS3LxwrhVHAsAAACAFVvF5Y3/nmldrL9PclCSByc5raoO6+5nJzk8yUXdffm6t9uZ5LCqOqS7L5vHfWaD4++c92VFx/qSqnp4kocnyU1vetMNDg8AAADAgbD06NXdr03y2oVNZ83rZT2pqp677PkcSN19epLTk+TYY4/tFU8HAAAAYNtY5UL2i16e5IFJjsp05tQ1quqgdWdVHZ7k4oWzqXYmufYGxzp83rc2ZtnHAgAAgG3vqBNfteopcAXOPeU+q57CAbdVFrLvhZfnZLrs8Rbrxqxfd+ucrFtLq6qOTHLYwrhVHAsAAACAFdsq0esHk1yQ5KNJ3pHkwiQnrO2sqsOSHJ/krIW3OSvJPavqmgvbHpTkkiRvmV9fxbEAAAAAWLGlX95YVa/ItIj9P2U6c+pB8+NR3f0/SS6tqlOSnFRVOzOdRfWYTIHueQuHOi3Jo5K8sqqenuToJCcneVZ3X5gk3b2KYwEAAACwYqtY0+v9SX4iyZFJKsm/JnlYd//xwphTMsWkxye5XpIdSe7e3Z9aG9DdO6vqbklOTXJmprsvPjtTrMqqjgUAAADA6lW3mwouw7HHHts7duxY9TQAAABgKSxkv7WNspB9Vb27u4/daN9WWdMLAAAAAPYb0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4aw0elXVTarqoqrqqrrGwvaqqidU1ceq6pKqemtV3W6Dt79NVb2hqi6uqk9W1VOq6qB1Y5Z+LAAAAABWa9Vnev1Wkos22H5ikpOSPD3J8fOYs6vqhmsDqurwJGcn6ST3S/KUJI9N8uRVHgsAAACA1VtZ9KqquyS5V5LfXrf96pni0tO6+9TuPjvJCZmC1CMXhj4iyaFJHtDdr+/u0zJFqsdU1bVWeCwAAAAAVmwl0Wu+bPB5mc6oumDd7jsnuVaSl65t6O7PJTkzyXEL445L8truvnBh24szxau7rvBYAAAAAKzYqs70ekSSqyX5PxvsOybJ5Uk+uG77++Z9i+POWRzQ3ecluXhh3CqOBQAAAMCKLT16VdX1kvx6ksd09xc2GHJ4kou6+/J123cmOayqDlkY95kN3n7nvG9VxwIAAABgxVZxptdvJnlnd796Be97qarq4VW1o6p2nH/++aueDgAAAMC2sdToVVW3TfITSZ5SVdepquskOWzefe2qOjTTmVPXmNf9WnR4kou7+7L59Z1Jrr3Buzl83rc2ZtnH+pLuPr27j+3uY4844ogNDg8AAADAgbDsM71umeSqSf42U0TamS+v6/XxTIvbn5PkoCS3WPe269fdOifr1tKqqiMzRbRzFsYs+1gAAAAArNiyo9fbk3z3usfT5333TvJbSd6R5MIkJ6y9UVUdluT4JGctHOusJPesqmsubHtQkkuSvGV+fRXHAgAAAGDFDl7mO+vuC5K8eXFbVR01//Nt3X3RvO2UJCdV1c5MZ1E9JlOge97Cm56W5FFJXllVT09ydJKTkzyruy+c39+lKzgWAAAAACu21Oi1CadkikmPT3K9JDuS3L27P7U2oLt3VtXdkpya5MxMd198dqZYtbJjAQAAALB61d2rnsO2cOyxx/aOHTtWPQ0AAABYiqNOfNWqp8AVOPeU+6x6CvtFVb27u4/daN+y1/QCAAAAgANO9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMNZavSqqh+sqndU1X9W1aVV9f6qelJVHbIwpqrqCVX1saq6pKreWlW32+BYt6mqN1TVxVX1yap6SlUdtG7M0o8FAAAAwOot+0yv6yV5Y5KfSnJckj9I8sQkz1oYc2KSk5I8PcnxSS5KcnZV3XBtQFUdnuTsJJ3kfkmekuSxSZ687v0t9VgAAAAAbA0HL/OddfcL1m16U1VdK8nPV9UvJLlaprj0tO4+NUmq6m+TnJvkkUmeNL/dI5IcmuQB3X1hktfPxzm5qp7R3RdW1dVXcCwAAAAAtoCtsKbXfyZZu7zxzkmuleSlazu7+3NJzsx0Ztia45K8do5Ua16cKV7ddYXHAgAAAGALWEn0qqqDquqwqvrfSR6V5Pnd3UmOSXJ5kg+ue5P3zfvWHJPknMUB3X1ekosXxq3iWAAAAABsAas60+tz8+NtSd6S5HHz9sOTXNTdl68bvzPJYQsL3h+e5DMbHHfnvG9Vx/oKVfXwqtpRVTvOP//8jYYAAAAAcACsKnrdOcl3Zlow/n5JTl3RPA6o7j69u4/t7mOPOOKIVU8HAAAAYNtY6kL2a7r7H+Z/vr2qLkjyR1X1zExnTl2jqg5ad1bV4Uku7u7L5td3Jrn2Boc+fN63NmbZxwIAAABgC9gKC9mvBbCbZVpb66Akt1g3Zv26W+dk3VpaVXVkksMWxq3iWAAAAABsAVshen3H/PIjSd6R5MIkJ6ztrKrDkhyf5KyFtzkryT2r6poL2x6U5JJMa4RlRccCAAAAYAtY6uWNVfWaJGcneW+muyF+R6Z1vV7S3R+ax5yS5KSq2pnpLKrHZIpzz1s41GmZ7vr4yqp6epKjk5yc5FndfWGSdPelKzgWAAAAAFvAstf0eleSH0tyVJIvJvlwksdnCk9rTskUkx6f5HpJdiS5e3d/am1Ad++sqrtlWgD/zEx3X3x2pliVVR0LAAAAgK2hunvVc9gWjj322N6xY8eqpwEAAABLcdSJr1r1FLgC555yn1VPYb+oqnd397Eb7dsKa3oBAAAAwH4legEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADGefo1dVHV5Vt6uqq+2PCQEAAADAvtpU9KqqJ1fVKQuvf0+S85K8O8mHquq2+3l+AAAAALBpmz3T64eSnLPw+jOTvD3JdyR5f5Kn7ad5AQAAAMBe22z0unGSDydJVR2Z5FuS/Fp3vzPJs5J8+/6dHgAAAABs3maj12eTXHv+9/ck2dndfz+/fmmSw/bXxAAAAABgbx28yfFvSXJiVf1Pkl9KcsbCvlsl+dj+mhgAAAAA7K3Nnun16CSfT/LiJJ9J8sSFfQ9L8tb9My0AAAAA2HubOtOruz+R6bLGjdwz0yWOAAAAALBSm728MUlSVYcn+cYkRyY5q7t3JrksyRf349wAAAAAYK9s6vLGqjqoqp6R5OOZ1vf64yQ3m3e/Ismv7d/pAQAAAMDmbXZNr6cm+ekkj0xydJJa2HdGkuP307wAAAAAYK9t9vLGhyU5sbv/sKoOWrfvQ5lCGAAAAACs1GbP9LpOpri1kUOSrA9hAAAAALB0m41e/5LkfrvYd1ySf9i36QAAAADAvtvs5Y2/keQVVXVokpcl6SS3q6rvT/IzSe67n+cHAAAAAJu2qTO9uvuMJA9N8r1Jzsq0kP3vJ/mxJD/S3a/d3xMEAAAAgM3a7Jle6e6XJnlpVd0qyfWT/FeS93d37+/JAQAAAMDe2NSZXlX1q1V14yTp7g909zu6+5zu7qq6UVX96oGZJgAAAADsuc0uZP9rSb5uF/tuPO8HAAAAgJXabPSqTIvXb+Trkuzct+kAAAAAwL7b7ZpeVfWjSX50frWTPL+qLlw37OpJvinJ6/bv9AAAAABg8/ZkIfuLk/zn/O9K8t+ZFq9fdFmmuzn+7v6bGgAAAADsnd1Gr+5+WZKXJUlV/WGSp3T3Rw70xAAAAABgb+3xml5VdfUkD03yLQduOgAAAACw7/Y4enX3pUk+neSLB246AAAAALDvNnv3xhckeVRVXfVATAYAAAAA9oc9Wch+0XWSfGOSc6vqDUk+lemOjmu6u39lP80NAAAAAPbKZqPXDyT5/Pzv79xgfycRvQAAAABYqU1Fr+6+2YGaCAAAAADsL5td0wsAAAAAtrxNR6+q+uaqeklVfaiqPl9Vt5+3/2ZVHbf/pwgAAAAAm7Op6DVHrXcnuWGSFyVZvIvj55P8wv6bGgAAAADsnc2e6fW0JC/s7rsm+c11+/4xye32w5wAAAAAYJ9sNnodk+Ql87973b4Lk1x3n2cEAAAAAPtos9Hr00mO3sW+2yY5b9+mAwAAAAD7brPR68VJnlJV/3thW1fVrZL8SpI/3W8zAwAAAIC9dPAmx5+U5DZJ3pLkP+ZtZ2Ra2P51SZ66/6YGAAAAAHtnU9Gruz+f5Puq6m5J7pbk+kn+K8kbuvv1B2B+AAAAALBpmz3TK0nS3W9I8ob9PBcAAAAA2C82Fb2q6ja7G9Pd/7r30wEAAACAfbfZM73+JUnvZsxBezkXAAAAANgvNhu9vnuDbYcnuef8eNQ+zwgAAAAA9tFmF7J/yy52/WVV/UaSByb5632eFQAAAADsg6vsx2O9Kcn99uPxAAAAAGCv7M/odZ8kn9mPxwMAAACAvbLZuze+dIPNhyQ5Jsktkzxhf0wKAAAAAPbFZheyv0G++u6NlyZ5W5LHdPer98usAAAAAGAfbHYh++86QPMAAAAAgP1mt9Grqn51Mwfs7qfs/XQAAAAAYN/tyZleJye5JMnnktRuxnYS0QsAAACAldqT6PWhJF+f5N1JXpzkld392QM6KwAAAADYB1fZ3YDuvmWSOyd5b5JfT/KpqnplVZ1QVYce6AkCAAAAwGbtNnolSXfv6O5f6u6bJrlXkv9IcmqST1fVn1bVXQ7kJAEAAABgM/Yoei3q7rd2988lOTLJaUkelOT/28/zAgAAAIC9tidren2FqvqOJA9O8oNJrpnk5Umev5/nBQAAAAB7bY+iV1XdPlPoelCSr03ymiSPTvJX3X3xgZseW9FRJ75q1VPgCpx7yn1WPQUAAABYud1Gr6p6f5KbJXljkl/LdPfGCw/0xAAAAABgb+3JmV63THJpkm9Lcvskz6iqXQ7u7hvsn6kBAAAAwN7Zk+j15AM+CwAAAADYj3Ybvbpb9AIAAADgSuUqq54AAAAAAOxvohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMNZavSqqhOq6q+q6hNVdVFVvbuqHrLBuJ+uqg9W1aXzmLttMOYmVfUXVfXZqrqgqk6tqsNWfSwAAAAAVm/ZZ3o9JslFSR6d5L5J3pTkz6rqF9YGzBHstCQvSnJckvcm+euq+saFMVdN8tokX5/kwUl+MckJSU5ffGfLPhYAAAAAW8PBS35/x3f3BQuvv7Gqbpwphj1v3nZykj/q7l9Pkqp6S5JvTXJikh+ex/xgkm9Icovu/sg87gtJXlxVT+7uD67oWAAAAABsAUs902td8FrzniQ3TpKqOjrJrZK8dOFt/ifJyzKdXbXmuCTvWotUs79MclmSe63wWAAAAABsAVthIfs7JfnA/O9j5pfnrBvzviTXraojFsZ9xZjuvizJhxaOsYpjAQAAALAFrDR6zQvB3z/JM+dNh88vP7Nu6M51+w/fYMzauMPXjV3msQAAAADYAlYWvarqqCR/luSM7n7hquZxIFXVw6tqR1XtOP/881c9HQAAAIBtYyXRq6qum+SsJB9N8kMLu9bOnLr2ujc5fN3+nRuMWRu3c93YZR7rK3T36d19bHcfe8QRroAEAAAAWJalR6+qOizJXyc5JMn3dffFC7vX1sw6Zt2bHZPkv7r7/IVxXzGmqg5JcvTCMVZxLAAAAAC2gKVGr6o6ONMdD2+Z5F7d/enF/d394UyL2p+w8DZXmV8/a2HoWUnuUFVfv7DtvkmuluQ1KzwWAAAAAFvAwUt+f7+b5N5JfjHJ9arqegv73tPdn09ycpI/qapzk/xNkh/NFMkeujD25UmemOSVVXVSpssOn53kz7r7gwvjln0sAAAAALaAZUeve8wvn7vBvpslObe7/7yqrpHkV5KclOS9mS6D/Je1gd39haq6V5JTk7w0yeeTvDjJ4xYPuOxjAQAAALA1LDV6dfdRezju95L83m7GfDzJ/bfasQAAAABYvZXcvREAAAAADiTRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABjOwaueAAAAV35HnfiqVU+BK3DuKfdZ9RQAYOmc6QUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOEcvOoJAHDlddSJr1r1FLgC555yn1VPAQAAVsaZXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwnINXPQEAAADGcdSJr1r1FNiNc0+5z6qnAEvhTC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABjO0qNXVd2iql5QVf9UVZdX1Zs3GFNV9YSq+lhVXVJVb62q220w7jZV9YaquriqPllVT6mqg1Z9LAAAAABWaxVnet02yb2TvD/JB3Yx5sQkJyV5epLjk1yU5OyquuHagKo6PMnZSTrJ/ZI8Jcljkzx5lccCAAAAYPVWEb3O7O4ju/uEJO9dv7Oqrp4pLj2tu0/t7rOTnJApSD1yYegjkhya5AHd/fruPi1TpHpMVV1rhccCAAAAYMWWHr26+392M+TOSa6V5KULb/O5JGcmOW5h3HFJXtvdFy5se3GmeHXXFR4LAAAAgBXbigvZH5Pk8iQfXLf9ffO+xXHnLA7o7vOSXLwwbhXHAgAAAGDFtmL0OjzJRd19+brtO5McVlWHLIz7zAZvv3Pet6pjfUlVPbyqdlTVjvPPP3+DwwMAAABwIGzF6DWM7j69u4/t7mOPOOKIVU8HAAAAYNvYitFrZ5JrVNVB67YfnuTi7r5sYdy1N3j7w+d9qzoWAAAAACu2FaPXOUkOSnKLddvXr7t1TtatpVVVRyY5bGHcKo4FAAAAwIptxej1jiQXJjlhbUNVHZbk+CRnLYw7K8k9q+qaC9selOSSJG9Z4bEAAAAAWLGDl/0O51B07/nVmyS5VlX94Pz6q7v74qo6JclJVbUz01lUj8kU6J63cKjTkjwqySur6ulJjk5ycpJndfeFSdLdl67gWAAAAACs2NKjV5IbJHnZum1rr98syblJTskUkx6f5HpJdiS5e3d/au0NuntnVd0tyalJzsx098VnZ4pVi5Z6LAAAAABWb+nRq7vPTVK7GdNJfnN+XNG4f03yPVvtWACwnRx14qtWPQWuwLmn3GfVUwAAWImtuKYXAAAAAOwT0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhnPwqicAXDkddeKrVj0FrsC5p9xn1VMAYBvy88HW5ucDYLtxphcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9AAAAABiO6AUAAADAcEQvAAAAAIYjegEAAAAwHNELAAAAgOGIXgAAAAAMR/QCAAAAYDiiFwAAAADDEb0AAAAAGI7oBQAAAMBwRC8AAAAAhiN6AQAAADAc0QsAAACA4YheAAAAAAxH9AIAAABgOKIXAAAAAMMRvQAAAAAYjugFAAAAwHBELwAAAACGI3oBAAAAMBzRCwAAAIDhiF4AAAAADEf0AgAAAGA4ohcAAAAAwxG9NqmqblNVb6iqi6vqk1X1lKo6aNXzAgAAAODLDl71BK5MqurwJGcn+dck90ty8yTPzBQPn7TCqQEAAACwQPTanEckOTTJA7r7wiSvr6prJTm5qp4xbwMAAABgxVzeuDnHJXnturj14kwh7K6rmRIAAAAA64lem3NMknMWN3T3eUkunvcBAAAAsAWIXptzeJLPbLB957wPAAAAgC2gunvVc7jSqKovJHlcdz9n3faPJ3lRdz9h3faHJ3n4/Oqtk7x/GfNk066f5IJVT4KV8zwg8Txg4nlA4nnAxPOAxPOAL/Nc2Jq+vruP2GiHhew3Z2eSa2+w/fB531fo7tOTnH6gJ8W+qaod3X3squfBankekHgeMPE8IPE8YOJ5QOJ5wJd5Llz5uLxxc87JurW7qurIJIdl3VpfAAAAAKyO6LU5ZyW5Z1Vdc2Hbg5JckuQtq5kSAAAAAOuJXptzWpLPJ3llVX3vvGbXyUme1d0XrnRm7AuXoJJ4HjDxPCDxPGDieUDiecDE84A1ngtXMhay36Squk2SU5PcKdOdHH8/ycndffkq5wUAAADAl4leAAAAAAzH5Y0AAAAADOfgVU8AVqWqfm0z47v7yQdqLqyO5wHJpp8H1d0nH6i5sDqeByS+LwCbU1V3TPLO7nZCCWxBLm9k26qqy5P8d5IvLmw+OMl1klywfptvZGOqqk9vsNnzYJupqk8lqT0d3t1HHMj5sBq7+P/BLod7HoxpD58HleRrklzd94XxCJ9shug1vqr6miQPS/KdSY7IFZw81N3fvax5sWdEL7atOXrdubv/bmHbtyZ5d5Krrt2coKrukOTvfCPbPjwPgPWq6hpJvq2737LqubA6VXWtJA9I8uAk35PkI91969XOiv1tg/C50R/DvrTdzwbbm+g1tqq6YZK3JTky0+8H/5Fklzex6+4HLmlq7CGXN8JX2uhMjz09+4NxeB5sM1V1190N6e43L2MurFZV3TTJrZMcsm7XrZP8dlXdN0kn+UB3f3DZ82P5quqwJPfNFLruleRTSV6S5And/Q+rnBsHRnffYPH1hT+G3Wjxju1rfxBb8vRYkvnsnj1x6AGdCKv21Ey/B9ysu/991ZNh80QvtrMv5Kt/qbna/PKwJJ+d//01SS5Z1qSAlXhjph9o1p/+vBg7/QV3cFX16CTPzFc/D9Z0kjMyPS+ePD8Y1BzDfzbJ92X6meDlSe7W3X+z0omxCrv6nckfxMZ2YXyNSY5L8njB68pL9GI7+2iSYzOdrrrm2zL9UnO/JH8ybzs+yYeWOzW2ANd+by/ftMG26yS5e5KHJnn4UmfDqjwqyXOSnJbk0nX7bpfkL5McNb/+meVMiRX6xUxneD07yRO7+7IVz4fV+Zb55VH5yp8Jj8p05h9j+vE9HHd0kl89kBNhpa6b6fdGrqREL7azVyT5tao6OMk/J/mGTN+wfifJH1TVjyW5ZpI7JPmZVU2SA6uqvn6DzZdlihxHVlV390cz3fTg7KVOjqXp7n/dxa53VNUXkvx8Ems5je8mSV7c3R9Yv2Ne0yPdfd7SZ8WqPCfTmd6PSPKwqnpFpufHW1c6K5aqqn440xmgFyR5flX9QqZfgL8lya8n2bHC6XEAdfeL9mTcvKaX6DWuTyW5TZI3rXoi7B3Ri+3sNzOt0XLK/PplSZ7a3b9eVTsyLVR7QZJnd/eLVzRHDrwPZ/enrl+lu9+f5B5LmA9bz98lefyqJ8FSfDzJxbvY9/kk5y5vKqzaHLfeWlWHZrrE8SFJXlNVFyR5aaYAJngMqKqukuRBSZ6Q6Zfdd2Y66/cVSd63MPRT8xhgXK9M8qtVtWPxBmhcebh7I9teVd0g0904PtTdn1nxdFiyqrr3+k1JvjbJvZPcKcnjuvvPlj4xtoT5TNDTknx3d9981fMBVquqrpkv373xbkk+2t23XO2s2N+q6pwkt0ryD0me3t0vm7dfNdMSGDdL8rEkr/GzI/OZXn/b3Qetei7sf/Pdm1+d5H9nCt3/niu+e+MdljQ19pDoxbblbm3sTlU9L8m1uvtHVz0XDqyq2uiU9UOS3DLJ9ZI8srufv9xZsWzznbp+NdNabpckeXl3P3ve941JLuju/1jhFFmCqvp0dn8GcGe60c2h3e0mF4OpqrOSPKO7Xc7Ebs1R5PYufR5bVd0jyV2S3CBXcMVcd//E0ibFHnF5I9vZRndrW/9Drh9kt7e/zHS3Lsa30S+5l2Zax+uVLmHaNn4n0yVsL8l0N99nzOv6PSfJwzIF0J9c3fRYkufFHdu2te4+btVzYPWqarN/9BS9Btbdr0vyulXPg81zphfbVlXdZv2mfPmytgcm+an5f25sU1X1XZnW6rhvd6+/kxswmHmtppPWzuqrqqck+YHuvm1VHZ/kOS5z3V6q6rBMd3Ld2d2XrHg6LMl81uevJfn+JF+XKYJ/BWf4ja+qdnUJ21oU/4o/nHtOwNbkTC+2rV3cre29Sd5YVZ/LdLc20WsbmNd1+/ZMlzP9bXdflCTz5a1vXt3MWIWqOijJ9TNdyrbLNRsY1ocW/v3WJL80//szSW609NmwElX1HUmekel7QyW5vKremeTE7v6blU6OZTg1yQlJ/jTTwvWXrXY6rMg1N9h2nUyXwD8myQ9luiESA9vFEhhfobu/exlzYe+IXrCxN2X6Zsbg5uvzX55pbZYk+WRV3aO731dVJyU5t7v/eHUzZFmq6v6Zzuz71iQHZfol9x8y3dX1jFXOjaV5RaZfYtb+4LEzydXnEHqrTAtXM7iqukOSszN9bzgryZOTPDJTBHlDVd29u9+2wily4B2f6UY21nLcxrp7o7v5Xpzkj+Z1vJ7V3e7sPb6NlsC4TpI7JPlsprt8s4U5BRM2dmmSF1fV1Vc9EQ643870zeroJMdkuiPLU+d9/57k4SuaF0tUVT+X6ZbU52c6y/MB88vzk/zFvJ/xnZHkf1fV66rqYUnuOG9/YJKTk7x0VRNjqZ6c5GXd/SOZ7thVSX6/u7830/8nfn2Vk2MpLoszeLhi709y51VPggOvux/U3Q9c97hHkq9Pcl6m7wtsYdb0Ylub78b1PZkua3tNd/sr/jYzX8p6/+5+/fz6Q5I8u7tvWFXfnenubddb6SQ54KrqvCR/3d1fFbeq6tRM67rddPkzY5muYP2Wzyf5oySP6u4vLHFKrEBVfSbJw7r7r6rq9kl2JLlqd19eVfdK8oru/porPAhXalW1dtbvA9svS6xTVddN8sIkt+zub1jxdFiheb3PZ3X3LVc9F3bN5Y1sW1X1Q5m+YV2e6azHS6rqnt39zqp6ZpJPdPezVjlHluKDSY5ceP2jSW5QVZXkkLiD13Zx3SR/sYt9ZyT5seVNhRX6pg22XZrkvO7+4rInw8oclOmSlY1cL9MfyhjbVTOd6flPVfWGTJc6L6ruPnnps2KpqurD+eqfAw9JcoNMvz88ZOmTYqs5NNPzgS1M9GI7OznTpSo/lukH3L/KdMnC3ZP8Y5JfSCJ6je/EJC+oqnO6+x2ZfsFNphD6kEzPBcb35iR3TfL6DfbdNckbljobVmIXNzhh+/lopstWFh1UVXdJ8vS4lGU7+Pn55aFJHrrB/sr0cyRje1m+OnpdmuTjmc4O/+Typ8SyVdVdN9h8SJLbJHl8Ejc32eJEL7azGyf5v/OlKl+oqtOSnD7v+2imRYsZ3y9n+oHm7VV1bpL/znQL6n9JctMkd1nd1Fii5yT5g6r62kyLmX8601/uHpDkXkl+oqpuuza4u9+7iklyYFXV+tBxhbr7owdqLqzUa5LcO9PZ4Mn0PeGzmX5ufkXc6GZ43e3MDdLdv7LqObAlvDHT7wobXep8Vqz/u+VZ04ttq6rekeTF3f078+vfnuQdmX6ovXemRWtvuMIpsgRVtdHC1Jcm+UCSP+nuc5c7I1Zhg7Wc1v9ws/aX3s70vdONYAY0Pw/25JJmz4OBVdU1k3xtd/9bVd0wyU9kunPnu50NCNvPvOTFrTMthXBBd39gxVNiiarqNhtsvjTTUjifX/Z82DxnerGd/WKSl1fVBUlekulOPUlytSSPSPL3q5oYy9PdD1z1HNgSvnvVE2BLOH7VE2BL+Kb5cvd093/ky3f0TZJU1bW7+79XMjOWoqqenuTO3f2d8+vXSvJ/ktwuybuSPNpzYHuoqgcmeWaSmyxsOy/JL3e3O/puA/7YceXnTC+2rXlxymsnOTzJF5P8V5Ijknwu0yK1d+7uD61uhgDAslXVF5I8N8kT1/8Vv6rukWlphCM3fGOGUFX/L8kfrd3QqKqek+T7kzwj03pf7+jun1rdDFmGqrpnpjV/n5HkI0l+L9PVICdkWhP4B7r7jJVNkKXYk6UPuvujVXVIkhtZ+mDrcaYX29muFqf8QJIzuntXd25iIFX1h7sb090/voy5AFtXVd06yU9Y42Vb+OFMZ/Xcu6p+tLvfVVVfk+lsj4cn+eOVzo5lOCrT2p5rHpjk17v7+VX1qUxRlPE9IckLuvukqrp9pt8bzu7u11bVJUmelOkOz4xto7t4rul531UynQn6zvnfbCGiF9uWX1yY3XaDbdfJ9APvziTnLXMyrMaerOXU3Vepqjsmeae1nMZRVf+T5A7d/e4N9h2W6Zfdn0xy5yTnJvG9Y3Dd/ZKqelOmszr+pqqen+T7khyW5H7dfeZKJ8gyXJ55Xceq+sYkN0xy9rzvU5nWdmJ8t09yyi72nZHE2X7bw54ufXBOpu8VbDGiF9tWVf1akg92959tsO8aSb6tu9+y/JmxTN19x422V9XRSV6e6VbEjO+R2bMFzD8yj2UcO5PcLcmXotccN38yyYMzPS9ekelSt7euZIYsXXd/uqoelOTtmf6bvyzJnbr7H1c6MZblPUkeXlX/nOkuz//W3R+c9x2Z6Q6/jO/yfHnN3/VunuQzy5sKq9Ldr97DcRcm2aOxLJc1vdi2Fs7s+MMkP9vdly3sczYHqaofTHJSd3/LqucCHBhV9bhMf8nfkeR1Se6f6QzQtyZ5YZKXdvfFq5ofq1FVd8709T88yW9kuoPjTZM8prt3e1k8V27z1/81Sa6RKXz8cHe/ZN53WqbfoX5mhVNkCarqH5Kc1t2nz5c37khydKab3zwryemuHNnequp2Sf6iu2+26rmwa36hZ7v7jUwLk761qm6yu8FsO5dm+kse20BVHVJV31xVt5xvT8420N2/leQOSd6X5NFJbpPp7J6ndPcLBa/tp6qekSl6/muS23b3c5Mcm+T5SU6vqr9a5fw48Oa7dx6T5AGZ7ub5koV9jxC8to0zk9xv4fXOtL7TqZkuf37CKibFclXV7avqDVX1iao6f/GR5E1Jbrqw7XGrni9fzZlebFvzmV53TnJBklcmuUGSE7r77c702j52cUeWQzL94vuMJJ9eu2U546qqb0vyF0m+bt70j0mO7+5PVNXPJ/nInp7ezpXXfGn7gzKd1fPtST6W5EVJXtjdH17l3FieqvqvJI/u7j/aYN8dk7you49Z/sxYlvkubFefL1dim6qqqyQ5pLsvrarDkxyX6fvCv3T3ztXOjmWpqnck+Zokr8r0B/FFX5dpbbeT59ffbCmErUf0Yttai17d/XfzYsX/N9Nf9B6d6fRl0WsbuIIFzDvJe5M8uLv/dbmzYtmq6p2Z1rl8bKboeWqm/wf8aFU9Msl9u/seq5wjy1VVt8p0S/ofzbSI9dsyxa8XrnBaLEFV3bi7P3kF+6/e3et/8WEgVfWCJN/c3XeaX79Rkpdmujvbu5L8SHd/YnUzBJalqj6b5Ps2WuvZiRJXDhayhyTz5SsPqarHJHlOkr9b7YxYoo3uyHJpko939weWPRlW5psynen5liSpqqdluvw5Sd6fxLpu28z83/8TqupJSe6Z5MeTvCDTOk8M7IqC17xf8BrfXZL8zsLrv5npzs4PznRJ27Mz3dkVGN9hSS66gv3OItriRC9Y0N3Pqqp3J3nJbgczhP+/vXsP132u8z/+fG32zjkUUQ7pgIQmSocZ5RBKxZSk0wwJYyZpOvEr5VhNqEZTkpGmcxmdMFIMUkLFRI1CIRI5K2GL7f374/vd17qtvdZe9zKt73fttZ6P67qvtb6fz/de12tfa++11/2+P5/3xy1rat0ArDRwfTWwZtvb6yFgmV5SqXdV9RBwBnBGksf0nUdTL8m5E91SVVsl2RA4rqq27iKXOrU2MPjG1840hxic3m55+3Q/sST1YGvginHmftHOaxqz6KXZbD3gptGDVXVekqfSnNikWaLdyrQN8BjgDuCcqrqy31Tq0AeAQ5NcWFXXAffQbHudQ9PDwy2uoqpu7zuDOnELY297H+0B4NYpzqJ+3Ev7Zke7fWkV4Jx27g/Aij3lktSxhT26Bl4rrErTE/rsqrqa5uATTWMWvTRrVdX1i5m7G7i7wzjqSbuS5zhgH5rlyffQNKtMks8A+7QrPTSzbQXMBa5K8kPgvnb8dGBbYMeecknqWFXtNuR9V+MWt5nqIuDtSW4HDgEuq6rftnNPAha7BVbSzJLkWOAfgAU0vy8+CCyV5FPAfmWj9GnNopdmrSTXMME7uVW1XpJnAN+qqvW6SaaOHUjTqHo/mhO5/tSe4LY78BGabW7/0mM+dWNj4Pb2sUL7OJ9m2+MLqurCHrNJkrr1buBM4Ic0q752HpjbEPhSH6EkdS/J/jQnO+8A3EVzmMWqwN8Cn6Q50fNDPcXTEDy9UbNWkqMmuqeqDkiyFrB/VR3QQSx1LMmvgS9V1SFjzB1Gc3rjBt0nkyT1pd3GcgjNSs/H0BTEzwUOdev77JDkUcDTgOuq6s6+86gfSR4PvBXYEliNxSwa8Q3ymSnJz4EvVNVRSTYDLgbmVtWCJO8A9q2qp/abUovjSi/NWsMWsarqBsCC18y1FuPvxf8+zUowSdIskWRjmpWefwC+QNP/c02ad/p/kuRvqupnPUZUB6rqfuDSvnOoP22P3wtoDrT5b+BCmu1tml2eQlPoGstPaQ6+0DRm0UvSbHcL4x9asCo2KZak2eZDwJXAllX154WDSQ6iKYZ9AHh5T9nUgST/MdEtVbVHkvWAg6vqjV3kUuc+CFxH87Pgvolu1oz1R8Y/xXs7mr8jmsYsemnWGuIXmofdXlV7TFUW9eq7wC7A18aY2wU4q9s4kqSebQnsPVjwAqiqPyc5Gvj3fmKpQ0+fYH5hT9hlh7hXS66tgbdY8Jr1fkHz7/zbA2NvSLIN8Hpgz15SaWgWvTSbTeaXlGGOLtcSqKr2Xszca7rMIkmaNm4fZ/wO/P15xquqLYa87xfAUPdqibQizY4AzW4nAi8YuH6I5s2PS4GdqurbYz1J04f/aWvWGvYXGs0OSQJsQLOl8baquqrnSJKkfvwCeCZw9hhzzwIu7zaOpJ5cT/NvfqyfBZolquqLwBfby58B6wA3lScCLjHm9B1AkvqW5NU0v9j8gqZfyxVJftOOS5Jml/cAt40zdzNwUIdZ1IMkyyc5Msn/JPlhkrcNzG2cZI0+86kzXwLem2S3JMv2HUb9SjIHeAJN4/p122stAWKBUtJslmQH4FTgKOBa4ARgR2BXYA9gl6o6pbeAkiSpU0lOBF4LnAQ8iuZ3gndV1TFJjgIeU1Vv6jOjpl6SpYHPAQvbXfyBxZzeWFWrdZFL3Uvyz8ABwBpA0bS+uQk4qqo+1mM0DcGil6RZLcl5wGVVtX+SzWiOJJ5bVQuSfBx4blU9u9+UkqQuJZlH88bHc4A1aV7c/AT4zOgG95p5ktwGvK+qjmuvD6d5E+zpSV4OHFNVT+41pDqTZAOaAy5WZzHtgarq8M5CqTNJDqNZ4Xs8cApNn7fVgZ2AfwSOqKpDewuoCVn0kjSrJbkbeHVVnTFG0etFwGlV5ZJ2SZolkjyRpofP2sAlNC9wHgdsBtwAbFNVv+krn6ZeW/R6XVWd2V6/CDi1qpZLsiXw3aparteQkjqR5Gbg+Ko6eIy5w4B9q+px3SfTsNyHKmm2WwCM9679k4G7uosiSZoGPkrz/8JTq+p5VbVzVT0XeCpwP3BMn+HUia8Drx+4vhNYJslSwPrAb3tJJakPywA/GGfufMA3x6c5T2+UNNtdQ1PcGjyZZ+0kWwMfojmSWJI0e2wL7FVV1w0OVtV1Sd5Hc3y9ZrZTgI8nOZPm1Lbl2/FXA4cCn+0nlrqU5Bqa3k3jqqr1Ooqj/pwK7AKcNcbcK4FvdBtHk2XRS9JsdxqwMyPFraIphN0HHEtzipckafYI8NA4cwuY4EWwZoTT2o9PpCmCQvP7wYk0jc3t3TQ7nMyi/95XBrYG5gH/2XUg9eJ04OgkZ9GsAl3Y0+uVwNOAA5K8dOHNVXV6Lyk1Lnt6SZrV2uOG51XV/CSrAC+h2bbwv1V1Z7/pJEldS3IKTbFjx6r63cD4E4DvANdW1U49xVMHkmw0xvB84PqqerDrPJpe2t8dvwWcU1XH9JtGUy3JuCd2jnV7VdlCapqx6CVJkiS1kjwZOJfmnfwLgJtpGtn/Nc07/FtV1dX9JZTUtyQvBk6oqrX7zqKplWSdydxfVddPVRY9Mm5vlCRJklpVdXWSTYF9gC2BdYA7gINpTvC6q8d46kCSdSe6Z3TPN806azHS600zmEWsJZ8rvSRJkiSp1W5nmqiBuVuYZrgku48xPA/YCNgL+K+qem23qSRNliu9JEmSJGnEy8cYWxnYDnghcGCnadSXz4wxVjTbnD+Hhx1JSwRXekmSJEnSEJIcDaxYVfv2nUVTK8lyYwzfX1WTaWwuqWcWvSRJkiRpCEm2Bb5eVSv3nUWSNDG3N0qSJEnScLYF7u47hKZekhdOdE9VnZdkBWDzqjqvg1iSJsmilyRJkiS1kvzHGMMLG5g/Azi820TqyTk0BxqMtzUqwByavxfntp9rhkmyPfBmYK+qunVgfEXgXcBmwF3Ap6rq/F5CarEsekmSJEnSiKePMTYf+CXwgar6Wsd51I9NhrzvMmDjqQyiXu0BzBkseLW+CWxNUxzdBDg3ydYWvqYfe3pJkiRJkiSNkuRq4Iiq+uzA2HOAC4BDqur97dhJwCpVtX0vQTUul2BKkiRJkjSGJHOTLD/qsVWSh5Ks0F7P7TunpsyawNWjxl5Gs731SwNjXwD+qqNMmgSLXpIkSZIkDUjyonaVz/00hxcMPs6h6fX1x/b6PX3l1JS7C1hl1NgLgJuq6tqBsfuA5boKpeHZ00uSJEmSpIf7MHAtcCRNT7dBTwIOpun3BHBpZ6nUtcuBPYFTAZJsCjwPOHHUfRsBN3YbTcOwp5ckSZIkSQOS3AtsV1U/HGNuC+CiqnLn1AyXZFvgTOBnNNsct6PZMbdZVf1q4L4LgSuq6o29BNW4/EcqSZIkSdLDPYpFV3gNcvXILFBVZwOvAu4Engb8N7DlYMGr9XbgoI7jaQiu9JIkSZIkaUCSdYAbq+rBMebmAmtW1fXdJ5M0GRa9JEmSJKmV5D8mc7/bmWa2JNsB2wKrArcBZ7erfzTLJXkG8K2qWq/vLBqfRS9JkiRJaiX58RjDy9E0qr54YGx54Gn2dZqZ2tVc3wS2B34PrAXcBKwBnAHsUlX395dQXUiyGXA0sCEwb9T00sBKwB3t9VFVdXSH8TQEi16SJEmStBhJnglcAsytqgXt2LOBH1n0mpmSHAK8CXgRTYHzEmAuzcl9XwM+X1UH9JdQXUhyAc33/3QW7fG2FrAXcGh7/b2q+n536TQMi16SJEmStBjtao+LeXjRyxP8ZrAkVwEfq6pjR3//k+wDvLeq1uk3paZakruBl1XVeWPM+TNgCeA3R5IkSZKkh1sHuHycuWuA1TvMov4sB/xpMfOuIprmLHpJkiRJ0sR8cTu73EHTr2lQ2o+7AVd0G0c92Rq4cpy5X7TzmsaW7juAJEmSJE1zPweeunBrY+sW4NM95dHUuxT4K+DUgbGDkmwDPB/YqYdM6lhVfT/Jxu33/T7gO1X123buT4A9vKY5i16SJEmSNEqS9YFtgFWB24CzB+er6jfAPt0nU0c+DvzNwPUDwN/T9PbavKp+1ksqdSrJ64HPAQ/S7JS7L8kOVXVRko8Av6uqj/YaUotlI3tJkiRJGpDkWOAfgAU0J/Y9CCwFfArYr3wRJc0KSX4F/BjYg+ZnwKk0dZTtkvwd8Jaq2qLHiJqAPb0kSZIkqZVkf5qeTTvQbGODZrXX7sDfAQf2FE09SLJqkhcm2S3JVklW7TuTOvV44MSqeqCq5tMUvp/Zzl0HrN9bMg3FopckSZIkjdgbOKqqzmakef19VfVF4DDgTb0lU2eSzEtyDHADcA7wZZotrjck+dck8/rMp85cBmw8cH0jsGqSOTQHHczvJZWGZk8vSZIkSRrxFJq+TWP5KbB2h1nUn4/SFDgPBk6hObhgdZoG9ofTbHvdr7d06spbga8luQ04CfhzO/4oYF+arY+axix6SZIkSdKIPwLLjDO3Hc2WJs18rwcOGtWk/C7gw0keBA7BotdscBKwAvBF4LPAHTQrQG+mOc3x+eM+U9OCRS9JkiRJGvEL4OnAtwfG3pBkG5pCyJ69pFLXHgIuH2fulzSHHGjm+9oYY/OBq4BTqurujvNokix6SZIkSdKIE4EXDFw/BPw7cCmwU1V9e6wnacb5IrB3kjMHT+tMEpq+b5/vLZk6U1UH9J1B/zfxtF1JkiRJWlSSpWn6ON1UvnCaVZL8M/AO4B6anl430/xd2Jlmu9tHgAcW3l5Vn+ghpnqUZEPguKrauu8sGp9FL0mSJEkapT2dbW1gDZqCx/VV9VC/qdSVJJPZvpiqmjNlYdSbJOsB7wU2BEaf2Ll8O35Je/3vVXVCh/E0BLc3SpIkSdKAdpXPATQFrwIC3JTkqKr6WJ/Z1I2qWqrvDJoWjgeeBvyAppfXoNVoil4/b69v6TCXhuRKL0mSJElqJTkMOIjmxe4pNC9kVwd2Av4ROKKqDu0toKTOJLkT2K2qzhxjbgvgIlf5TW+u9JIkSZKkEfsCH6yqg0eNn5nkdprC16Gdp5LUh5WA2xcz7yqiac6KpCRJkiSNWIZmK9NYzgeW7TCLpH69Ebh2nLmr23lNY25vlCRJkqRWki8A91TVvmPMHQcsW1V7dB5MUm+SPBp4HrAqcBtwYVXd3W8qDcOilyRJkiS1krwGOBq4Avg6Iz29XknT0PoA4I8L76+q03uIKakjSd4FHAIs1w4VcC9weFUd3VswDcWilyRJkiS1kiyYzO02sZZmriSvA04A9gd+B3wb2Ah4FXAw8E9V9en+EmoiFr0kSZIkqZVkncncX1XXT1UW9SfJ7pO5vao+O1VZ1J8kPwG+U1XvS7IZcDEwt6oWJDkceGVVbdxvSi2ORS9JkiRJkgaMs+Iv7cfRL6Jd8TdDJbkH+NuqOmuMote2wOlVtUy/KbU4S/cdQJIkSZKmmyTbAdsy0rj67Ko6u99U6tCKo66XAb4E7AC8Ezi+80Tqw3xgvILm5sDvO8yiR8CilyRJkiS1kswFvglsT/OCdi3gJuDAJGcAu1TV/T1GVAeq6t6FnydZiebvxHOAbwAfARZU1b/1FE/duQrYAPjuwNiWSbYGDgTe10sqDc0lmJIkSZI04j3ApsDGwM7t2DrAC4FnAUf0lEs9SLIG8ANgM2CnqlrYwPyYJAf0Gk5dOAnYauC6gHOAvYG3e3rj9GdPL0mSJElqJbkK+FhVHTtGD599gPdW1aSa3WvJlOSpNCt8lgd2rKpLBubeCRwJHF5Vh/UUUR1KsjzwDOC3wA1lMWWJ4PZGSZIkSRqxDnD5OHPXAKt3mEU9SfIs4HTgHuBvqupXg/NV9eEk84GPJVmmqt7dR05NrSSrAWtU1c+r6h7ggiSh6fV3e7/pNAy3N0qSJEnSiDuAlUaNLTy1bzfgim7jqCdn0/R0e/7ogtdCVfUJYF/AbY4z14fbBwBJ1gd+A9ya5OokG/UVTMOx6CVJkiRJIy4F/mrU2EFJzgP2AFzRMzv8FNiyqhZ7Ol9VnQDs2U0k9eCvafp6LfQBmu2Nm9CsCP1IH6E0PItekiRJkjTi48CjBq4fAP6eZtXP5lV1Ri+p1LUdquqPw9xYVZ+b6jDqzeNptjWTZCngxcC/VdXlwLHAFj1m0xDs6SVJkiRJrbaodUb7+f/w8AKYZo/vNK2bxpWq2irJhsBxVbV1R7nUrbto+ncBbAksB5zbXv8Zfz5Mexa9JEmSJEl6uFuHvO+BSdyrJc85wPuSzAPeDvywqhZ+vzcAru8tmYYST9mUJEmSpEaSaxhpXD+mqlqvoziSepRkLeAUmj5/NwEvq6pL27kDgLur6rjeAmpCFr0kSZIkqZXkSB5e9ArwOGDb9vMvV9U7+8gmqR9JVq6qu/rOoclze6MkSZIktarqwLHGk8wFTqfp8aMZLskhE91SVYd2kUX9s+C15HKllyRJkiQNIcnLaJqWr913Fk2tJLeMMbwiMA+YD9xbVat1m0rSZM3pO4AkSZIkLSGWBlZPskzfQTS1qmr1MR7LAtsAvwK26zmipCG40kuSJEmSRkmyEnB/Vd3fdxZNL0l2B/atquf1nUXS4rnSS5IkSZJaSZ6U5Ec0vbvuSXJKkpXbud2SPLfPfJoWfg9s2ncISROzkb0kSZIkjTgeeCzwRpr+TYe3j/2BdYDXATv3lk69aQ8z2Ag4FLiy3zTqUpINgWcDawI3AT+pqiv6TaVhWPSSJEmSpBHPBXavqm8AJFkaOJCm6PUz4G09ZlNHkiwAMs70rcAuHcZRT9r+fZ8GXtsO/QlYoZ37KrBXVd3XUzwNwaKXJEmSJI24HRhsfPxL4Ant5/cDK3WeSH3Yj0WLXvOBG4DvV9X87iOpB0cCLwN2B75WVfPbQtirgGPb+f17zKcJ2MhekiRJklpJ3knzgna7qro7yWbAxcBc4P8Br6qqZ/aZUVI3ktwEHFFVnxxj7p+A91XVmt0n07Bc6SVJkiRJI5aj6el1bZJTgYfa8WOBPYA9e8qlHiRZFdgEWIOmgf3Pq+qOflOpQysDV48zd3U7r2nMlV6SJEmS1EpyyxjD84GrgBOq6qSOI6kjSZ4FrFBV30syDzga2Bt41MBt9wMnAO+qqj/3EFMdSvJj4LdVtcuo8QAnA+tU1Ra9hNNQXOklSZIkSa2qWr3vDOrNx4FvAd8D/pXmBM+DgVNomtevBrwcOILmZM9/7COkOvUe4PQkPwO+BtwMPA7YFdgAeGmP2TQEV3pJkiRJ0hCSPBZ4aVV9ru8s+stLcifw6qo6q/38sKo6Zoz79m/nVuk6o7qX5HnA+4AtabY/3wucT9Pr64I+s2lirvSSJEmSpAFJtgQ2pFnNM+iJwDuSrEhzwuOPq+onHcfT1FmGke/5QzQnd47lCuDBThKpd1V1IbAjQJK5VfVAz5E0Ca70kiRJkqRWkg8B7xry9sOr6rCpzKPutFvYLq2qv09yDLBGVb1mjPu+QtPn6YCuM2r6SLIhcFxVbd13Fo3PlV6SJEmSNOINwLuBY0Y3Kk/ybOBHVTWnl2SaakcBn0vyeOAHwCuTXA6cBtzCSE+vlYCP9pZSnUlyyGKm1wJemOS9NKsCv1GuKpp2XOklSZIkSa0kDwLPraqLx5jbArjIotfMleQVwP7AM2iKWxnvVv8ezHzjnOa60NLAo4E7gVVpVn29uZNgGppFL0mSJElqJTkH2LeqrhpjbkPgk1W1TffJJE0ngys/k+wOHFlVa/SdSw9n0UuSJEmSJGkS2pWfF1bVUm0B7KKqWqrvXHo4e3pJkiRJUmuCHj7QLBw4tO37tLeN7GeuJMsCbwSeDawB/B74CfCZqprfZzZNCz8F1ms//x3gz4JpyJVekiRJktSaoIcPNK+hVkvyTOC7VbV6F7nUrSQbA2cCjwEuoWlkvzqwOXAbsH1VXd5fQknDsOglSZIkSdKAJOcDKwA7VtWNA+NrAt8G7q2qv+4rn6ThWPSSJEmSJGlAkvuA11bVt8aY2xn4alUt23kwSZNiTy9JkiRJGpBkHrAH8BxgTeAmRno5/bnHaOrOb4DlxplbDrimuyiSHqk5fQeQJEmSpOkiyROBXwKfADYCHgCeDvwbcEU7r5nvQODwJA/bwpjk+cD7gf/XSyp1KsmpSV6XZLwCqKY5tzdKkiRJUivJN4CnAS+uqusGxtcFvgNcWVV/21M8dSTJj4F1gdVomtgvbGS/OnArcP3g/VX17K4zauol+SWwPnAfcBrwVeDbVfVAr8E0NItekiRJktRK8gdgr6o6eYy5VwEnVtWju0+mLiX5zGTur6o9pyqL+pXkWcBbgdcBAe4Cvgl8BTinqh7qL50mYk8vSZIkSRoRYLwXsQvaec1wFrG0UFVdnOQEmqLXq4CXAK8E3gjcnORk4MtVdVGPMTUOV3pJkiRJUivJKcATgR2r6ncD40+g2d54bVXt1FM89SDJHOCxwG2u6pmdkrwA+B6wSlX9IcnSwA7Aa4GdgBWA66pqvf5Saiw2spckSZKkEW8HVgGuTnJOkq8kOYfmtL6Vgbf1GU7dSbJdkgto+jn9HrgvyYVJtu85mnpWVQ8CF9AUwv4XKJoecJpmLHpJkiRJUquqrgY2BQ4G7gHWaT8eDGzSzmuGS7Irzcq+e4H9gV1o+jrdA3wnyat7jKf+rJjk9UlOoymEHg+sRPPz4Sm9JtOY3N4oSZIkSdKAJJcBl4zV26ttcv+sqtq0+2TqWruV8c3AR4E/A/OA62hOcvxKVf28x3iagEUvSZIkSZIGJJkP7FRVZ44xtz1walUt030ydSnJscCrgVWBm4GTaQpdNq1fQnh6oyRJkiS1kkx4QmNV2SZm5ruFZpvrIkWvdvyWbuOoJ68FvgF8BTinXDW0xLHoJUmSJEkj9mPRotfKwHbAejRbnDTzfRY4IkmAk2hW+TwO2A04Avhwf9HUocdV1QN9h9Aj5/ZGSZIkSRpC28vppqo6qO8smlpJ5gAfB/YBlhqYWgCcALylqhb0kU3dSbL7RLdU1We7yKJHxqKXJEmSJA0hyXbAl6pq9b6zqBtJHg88j6an0x3AhVV1Y7+p1JV2u/O40+B25+nO7Y2SJEmSNJxNAVcNzCJtgevrfedQb1YcY2xlYBvgXcAeXYbR5Fn0kiRJkqRWkkPGGJ4HbAS8DDi+20Tqg9vaBFBV944xfC/wxSTL0vT427rbVJoMtzdKkiRJUivJWKfyzQduoDnF7WM2tp753NamiSTZAfhGVS3fdxaNz5VekiRJktSyX5dabmsTSdYdY3ge8BTgg8BV3SbSZLnSS5IkSZKkISXZG3hdVbmtbYZrV/xlnOlrgV2q6tLuEmmyXOklSZIkSdLwrge26DuEOvHyMcZWplnxtzyu9Jr2XOklSZIkSdKAIba1UVXP7DSUppUkRwBPqKo9+86i8Vn0kiRJkiRpgNvaNJEk2wJfr6qV+86i8bm9UZIkSZKkh3Nbm8aVZCXgTcDtfWfR4rnSS5IkSZKkIbmtbfZIcg2LrvibB6wGFLB7VX2182AamkUvSZIkSZKG5La22SPJkSxa9JoP/A44rapu7D6VJsOilyRJkiRJQ2i3tX0KeE5VPbnvPJIWz55ekiRJkiQNGGZbW+eh1JskATYAVgVuqyp7ui0hLHpJkiRJkvRwJ+O2NgFJXg18BHjCwNj1wAFV9Z+9BdNQ3N4oSZIkSZI0SpIdgFOBo4BrgROAHYFdgT2AXarqlN4CakIWvSRJkiRJkkZJch5wWVXtn2Qz4GJgblUtSPJx4LlV9ex+U2px5vQdQJIkSZIkaRraDDhjnLlTgI07zKJHwKKXJEmSJEnSohYAfx5n7snAXd1F0SNh0UuSJEmSJGlR19AUtwatneSNwIeAz3cfSZNh0UuSJEmSJGlRpwE7D1wXTSHsEzRN7Q/qI5SGZyN7SZIkSZKkUZLMAeZV1fwkqwAvAX4L/G9V3dlvOg3DopckSZIkSZJmnKX7DiBJkiRJkjTdJDlkoluq6tAusuiRcaWXJEmSJEnSKEluGT0ErNJ+nA/cW1WrdR5MQ3OllyRJkiRJ0ihVtfrosSRLAy8G/hXYo+tMmhxXekmSJEmSJE1Ckr2Bvatqi76zaHxz+g4gSZIkSZK0hLkK2KTvEFo8i16SJEmSJEmTcyOwV5JH9R1E47OnlyRJkiRJ0ihJXjjBLTdU1f1JVgA2r6rzusil4dnTS5IkSZIkaZQkC2hOahyvcJKqmpNkC+CiqnI33TTjSi9JkiRJkqRFDduz6zJg46kMokfGlV6SJEmSJEmacVzpJUmSJEmSNI4k6wPbAI8BbgfOraor+02lYbjSS5IkSZIkaZQkAY4D9qHp63UPsDxNn6/PAPtU1UP9JdREbLImSZIkSZK0qAOB3YH9gEdX1UrAo4G3AG9o5zWNudJLkiRJkiRplCS/Br5UVYeMMXcY8Jqq2qD7ZBqWK70kSZIkSZIWtRbw/XHmvg+s22EWPQIWvSRJkiRJkhZ1C7DKOHOrArd2mEWPgEUvSZIkSZKkRX0X2GWcuV2AszrMokfAnl6SJEmSJEmacZbuO4AkSZIkSdJ0lGQesCFwH/DrcuXQEsXtjZIkSZIkSaMk2Rz4NXApcCVwSZIntHNvTrJjj/E0BItekiRJkiRJizqWppn91sAOwPLAB9u5AP/cTywNy+2NkiRJkiRJi9oE2LWqzgNI8i/A+9u5K4Fn9BVMw3GllyRJkiRJ0qJuAFYauL4aWDNJgIeAZXpJpaFZ9JIkSZIkSVrUB4BDk6zbXt9Ds61xDvAS4Bd9BdNw3N4oSZIkSZK0qK2AucBVSX5Ic4IjwOnAtoCN7Ke5eNqmJEmSJEnSwyX58RjD84GrgBOr6sKOI2mSLHpJkiRJkiRpxrGnlyRJkiRJkmYci16SJEmSJEmacSx6SZIkSZIkacax6CVJkiRJkqQZx6KXJEnSEirJoUlq4HFjkq8nefIkvkYl2W8qc0qSJPVh6b4DSJIk6f/kD8CL28+fBBwBnJ3k6VV1zxDPfx5w7VSFkyRJ6otFL0mSpCXbg1V1Ufv5RUmuB34A7AicPNGTB54rSZI0o7i9UZIkaWa5pP24UZJPJLkyyb1Jrk1ybJKVBm8evb0xyd8k+UGSP7aPS5PsOuo5eyW5PMn9Sa5LcsCo+acn+U6SO5Lck+SXSd48ZX9iSZKkMbjSS5IkaWZ5YvvxGmAN4CDgVmDt9vOTgR3GemJbEPsv4BTgcCDAJsDKA/e8C/ggcBTwPWBz4Igk91bVJ9rbTgN+CbwBuB/YAHhYsU2SJGmqWfSSJElawiVZ+Dvdk4BPAncD/11VXxh1z7XA+UnWqarrx/hS6wOPBvarqrvbsTMHvsZKwCHA+6vqsHb4rCTLAe9NchywCrAesHNV/by95+y/xJ9TkiRpMtzeKEmStGR7DPBA+7iSpvC1W1XdlOTvkvw0yZ/a+fPb56w/zte6GvgT8OUkOydZedT884DlgZOTLL3wAZwDPA5YC7gD+C3wqSS7JVn9L/YnlSRJmgSLXpIkSUu2PwDPBp5FU3R6YlWdkeQVwOeBC4FdgecCr2ifs8xYX6iq7gS2A+YC/wncmuT0JE9qb3ls+/FyRgptDwDntuNrV9VDwPbA74HPAL9ve4Q98y/055UkSRqK2xslSZKWbA9W1cVjjO8K/Kiq/mnhQJIXTvTF2tMcX5xkWeBFwEeBL9MUze5ob3sZcPMYT7+y/RpXALskmQtsCRwJnJ5krbYoJkmSNOUsekmSJM1My9I0kR/0+mGfXFX3Aacl2Rh4dzt8IXAf8PiqOn2Ir/EAcE6ShYWzlRkpnEmSJE0pi16SJEkz01nAsUkOAn4E7Ahsu7gnJHkpsCfwLeB64AnAP9D07KKq7kpyKPCxJOsC36dpl7E+sHVVvSLJpsCHgZNoTpBcBTgQuKyqLHhJkqTOWPSSJEmamY6naWr/VpoeXmcBrwMuWsxzfg0U8EFgdeBW4L+A9yy8oaqOSnIj8DbgHcB84CqaIhc0vbxuBg4CHg/cRdPz68C/zB9LkiRpOKmqvjNIkiRJkiRJf1Ge3ihJkiRJkqQZx6KXJEmSJEmSZhyLXpIkSZIkSZpxLHpJkiRJkiRpxrHoJUmSJEmSpBnHopckSZIkSZJmHItekiRJkiRJmnEsekmSJEmSJGnG+f9mroeT7vPL9wAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 1440x1440 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(20,20))\n",
+    "Dead = covid[covid.Date_reported.eq('2021-02-25')]\n",
+    "Deader = Dead[Dead.Cumulative_deaths.ge(80000)]\n",
+    "\n",
+    "print('Mode')\n",
+    "print(Deader.Cumulative_deaths.mode())\n",
+    "print()\n",
+    "print('Median')\n",
+    "print(Deader.Cumulative_deaths.median())\n",
+    "print()\n",
+    "print('Mean')\n",
+    "print(Deader.Cumulative_deaths.mean())\n",
+    "print()\n",
+    "\n",
+    "plt.figure(figsize=(20,20))\n",
+    "plt.rcParams.update({'font.size': 15})\n",
+    "plt.xticks(rotation=-90)\n",
+    "plt.title('Paises con decesos > 80.000')\n",
+    "plt.ylabel('Muertes')\n",
+    "plt.xlabel('Paises')\n",
+    "plt.bar(x=Deader['Country'], height=Deader['Cumulative_deaths'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 231
+    },
+    "id": "V_NigcQ5Jbbg",
+    "outputId": "da0e6407-46e3-42a1-d282-8d2e2ecf4459"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<BarContainer object of 99540 artists>"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Error in callback <function flush_figures at 0x7fa621337620> (for post_execute):\n"
+     ]
+    },
+    {
+     "ename": "KeyboardInterrupt",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
+      "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/ipykernel/pylab/backend_inline.py\u001b[0m in \u001b[0;36mflush_figures\u001b[0;34m()\u001b[0m\n\u001b[1;32m    119\u001b[0m         \u001b[0;31m# ignore the tracking, just draw and close all figures\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    120\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 121\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    122\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    123\u001b[0m             \u001b[0;31m# safely show traceback if in IPython, else raise\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/ipykernel/pylab/backend_inline.py\u001b[0m in \u001b[0;36mshow\u001b[0;34m(close, block)\u001b[0m\n\u001b[1;32m     41\u001b[0m             display(\n\u001b[1;32m     42\u001b[0m                 \u001b[0mfigure_manager\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 43\u001b[0;31m                 \u001b[0mmetadata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0m_fetch_figure_metadata\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigure_manager\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     44\u001b[0m             )\n\u001b[1;32m     45\u001b[0m     \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/IPython/core/display.py\u001b[0m in \u001b[0;36mdisplay\u001b[0;34m(include, exclude, metadata, transient, display_id, *objs, **kwargs)\u001b[0m\n\u001b[1;32m    311\u001b[0m             \u001b[0mpublish_display_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmetadata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmetadata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    312\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 313\u001b[0;31m             \u001b[0mformat_dict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmd_dict\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minclude\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0minclude\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexclude\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexclude\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    314\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mformat_dict\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    315\u001b[0m                 \u001b[0;31m# nothing to display (e.g. _ipython_display_ took over)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/IPython/core/formatters.py\u001b[0m in \u001b[0;36mformat\u001b[0;34m(self, obj, include, exclude)\u001b[0m\n\u001b[1;32m    178\u001b[0m             \u001b[0mmd\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    179\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 180\u001b[0;31m                 \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mformatter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    181\u001b[0m             \u001b[0;32mexcept\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    182\u001b[0m                 \u001b[0;31m# FIXME: log the exception\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m<decorator-gen-2>\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, obj)\u001b[0m\n",
+      "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/IPython/core/formatters.py\u001b[0m in \u001b[0;36mcatch_format_error\u001b[0;34m(method, self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    222\u001b[0m     \u001b[0;34m\"\"\"show traceback on failed format call\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    223\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 224\u001b[0;31m         \u001b[0mr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    225\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mNotImplementedError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    226\u001b[0m         \u001b[0;31m# don't warn on NotImplementedErrors\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/IPython/core/formatters.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    339\u001b[0m                 \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    340\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 341\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mprinter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    342\u001b[0m             \u001b[0;31m# Finally look for special method names\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    343\u001b[0m             \u001b[0mmethod\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_real_method\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprint_method\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/IPython/core/pylabtools.py\u001b[0m in \u001b[0;36m<lambda>\u001b[0;34m(fig)\u001b[0m\n\u001b[1;32m    246\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    247\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;34m'png'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mformats\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 248\u001b[0;31m         \u001b[0mpng_formatter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfor_type\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mFigure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mprint_figure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'png'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    249\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;34m'retina'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mformats\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;34m'png2x'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mformats\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    250\u001b[0m         \u001b[0mpng_formatter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfor_type\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mFigure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mretina_figure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/IPython/core/pylabtools.py\u001b[0m in \u001b[0;36mprint_figure\u001b[0;34m(fig, fmt, bbox_inches, **kwargs)\u001b[0m\n\u001b[1;32m    130\u001b[0m         \u001b[0mFigureCanvasBase\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    131\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 132\u001b[0;31m     \u001b[0mfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprint_figure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbytes_io\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    133\u001b[0m     \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbytes_io\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetvalue\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    134\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mfmt\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'svg'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/backend_bases.py\u001b[0m in \u001b[0;36mprint_figure\u001b[0;34m(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)\u001b[0m\n\u001b[1;32m   2215\u001b[0m                     \u001b[0morientation\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0morientation\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2216\u001b[0m                     \u001b[0mbbox_inches_restore\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0m_bbox_inches_restore\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2217\u001b[0;31m                     **kwargs)\n\u001b[0m\u001b[1;32m   2218\u001b[0m             \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2219\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mbbox_inches\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mrestore_bbox\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/backend_bases.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m   1637\u001b[0m             \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1638\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1639\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1640\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1641\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mwrapper\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/backends/backend_agg.py\u001b[0m in \u001b[0;36mprint_png\u001b[0;34m(self, filename_or_obj, metadata, pil_kwargs, *args)\u001b[0m\n\u001b[1;32m    507\u001b[0m             \u001b[0;34m*\u001b[0m\u001b[0mmetadata\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mincluding\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mdefault\u001b[0m \u001b[0;34m'Software'\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    508\u001b[0m         \"\"\"\n\u001b[0;32m--> 509\u001b[0;31m         \u001b[0mFigureCanvasAgg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    510\u001b[0m         mpl.image.imsave(\n\u001b[1;32m    511\u001b[0m             \u001b[0mfilename_or_obj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbuffer_rgba\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mformat\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"png\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0morigin\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"upper\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/backends/backend_agg.py\u001b[0m in \u001b[0;36mdraw\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    405\u001b[0m              (self.toolbar._wait_cursor_for_draw_cm() if self.toolbar\n\u001b[1;32m    406\u001b[0m               else nullcontext()):\n\u001b[0;32m--> 407\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    408\u001b[0m             \u001b[0;31m# A GUI class may be need to update a window using this draw, so\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    409\u001b[0m             \u001b[0;31m# don't forget to call the superclass.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/artist.py\u001b[0m in \u001b[0;36mdraw_wrapper\u001b[0;34m(artist, renderer, *args, **kwargs)\u001b[0m\n\u001b[1;32m     39\u001b[0m                 \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     40\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 41\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0martist\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     42\u001b[0m         \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     43\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0martist\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_agg_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/figure.py\u001b[0m in \u001b[0;36mdraw\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m   1862\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpatch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1863\u001b[0m             mimage._draw_list_compositing_images(\n\u001b[0;32m-> 1864\u001b[0;31m                 renderer, self, artists, self.suppressComposite)\n\u001b[0m\u001b[1;32m   1865\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1866\u001b[0m             \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclose_group\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'figure'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/image.py\u001b[0m in \u001b[0;36m_draw_list_compositing_images\u001b[0;34m(renderer, parent, artists, suppress_composite)\u001b[0m\n\u001b[1;32m    129\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mnot_composite\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mhas_images\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    130\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[0;32min\u001b[0m \u001b[0martists\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 131\u001b[0;31m             \u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    132\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    133\u001b[0m         \u001b[0;31m# Composite any adjacent images together\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/artist.py\u001b[0m in \u001b[0;36mdraw_wrapper\u001b[0;34m(artist, renderer, *args, **kwargs)\u001b[0m\n\u001b[1;32m     39\u001b[0m                 \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     40\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 41\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0martist\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     42\u001b[0m         \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     43\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0martist\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_agg_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/cbook/deprecation.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*inner_args, **inner_kwargs)\u001b[0m\n\u001b[1;32m    409\u001b[0m                          \u001b[0;32melse\u001b[0m \u001b[0mdeprecation_addendum\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    410\u001b[0m                 **kwargs)\n\u001b[0;32m--> 411\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minner_args\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0minner_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    412\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    413\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mwrapper\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/axes/_base.py\u001b[0m in \u001b[0;36mdraw\u001b[0;34m(self, renderer, inframe)\u001b[0m\n\u001b[1;32m   2745\u001b[0m             \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstop_rasterizing\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2746\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2747\u001b[0;31m         \u001b[0mmimage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_draw_list_compositing_images\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0martists\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2748\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2749\u001b[0m         \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclose_group\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'axes'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/image.py\u001b[0m in \u001b[0;36m_draw_list_compositing_images\u001b[0;34m(renderer, parent, artists, suppress_composite)\u001b[0m\n\u001b[1;32m    129\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mnot_composite\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mhas_images\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    130\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[0;32min\u001b[0m \u001b[0martists\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 131\u001b[0;31m             \u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    132\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    133\u001b[0m         \u001b[0;31m# Composite any adjacent images together\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/artist.py\u001b[0m in \u001b[0;36mdraw_wrapper\u001b[0;34m(artist, renderer, *args, **kwargs)\u001b[0m\n\u001b[1;32m     39\u001b[0m                 \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     40\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 41\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0martist\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     42\u001b[0m         \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     43\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0martist\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_agg_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/patches.py\u001b[0m in \u001b[0;36mdraw\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m    584\u001b[0m             \u001b[0mtransform\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_transform\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    585\u001b[0m             \u001b[0mtpath\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtransform\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtransform_path_non_affine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 586\u001b[0;31m             \u001b[0maffine\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtransform\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_affine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    587\u001b[0m             draw_path(tpath, affine,\n\u001b[1;32m    588\u001b[0m                       \u001b[0;31m# Work around a bug in the PDF and SVG renderers, which\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/transforms.py\u001b[0m in \u001b[0;36mget_affine\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   2370\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2371\u001b[0m             return Affine2D(np.dot(self._b.get_affine().get_matrix(),\n\u001b[0;32m-> 2372\u001b[0;31m                                    self._a.get_affine().get_matrix()))\n\u001b[0m\u001b[1;32m   2373\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2374\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0minverted\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/transforms.py\u001b[0m in \u001b[0;36mget_affine\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   2370\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2371\u001b[0m             return Affine2D(np.dot(self._b.get_affine().get_matrix(),\n\u001b[0;32m-> 2372\u001b[0;31m                                    self._a.get_affine().get_matrix()))\n\u001b[0m\u001b[1;32m   2373\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2374\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0minverted\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/transforms.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, matrix, **kwargs)\u001b[0m\n\u001b[1;32m   1840\u001b[0m         \u001b[0mIf\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0mmatrix\u001b[0m\u001b[0;34m*\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minitialize\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mthe\u001b[0m \u001b[0midentity\u001b[0m \u001b[0mtransform\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1841\u001b[0m         \"\"\"\n\u001b[0;32m-> 1842\u001b[0;31m         \u001b[0mAffine2DBase\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1843\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mmatrix\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1844\u001b[0m             \u001b[0;31m# A bit faster than np.identity(3).\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/transforms.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1701\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1702\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1703\u001b[0;31m         \u001b[0mTransform\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1704\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_inverted\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1705\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
+     ]
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(20,20))\n",
+    "plt.xticks(rotation=45)\n",
+    "plt.ylabel('Muertes')\n",
+    "plt.xlabel('Pais')\n",
+    "plt.bar(x=covid['Country'], height=covid['Cumulative_deaths'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 280
+    },
+    "id": "umMIpAeGMzcx",
+    "outputId": "c0d03829-6a9a-4dbf-ad9b-5ac9137ad9a0"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.PathCollection at 0x7fa5ab0faf98>"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 3600x3600 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(50,50))\n",
+    "plt.ylabel('Casos')\n",
+    "plt.xlabel('Fecha')\n",
+    "plt.scatter(x=covid['Date_reported'], y=covid['Cumulative_cases'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "colab": {
+   "collapsed_sections": [],
+   "name": "Tarea Medianoche",
+   "provenance": []
+  },
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}