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@kjordahl
Created December 5, 2014 02:16
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Ebola outbreak
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{
"metadata": {
"name": "",
"signature": "sha256:3ddc48d573247a2a94d2a2952f7008756983a7212bf4617828da7f752c83e43a"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"import pandas as pd\n",
"import seaborn as sn\n",
"sn.set_context(rc={\"figure.figsize\": (8, 4)})\n",
"sn.set_style(\"white\")"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Ebola Outbreak 2014"
]
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Data retrieval"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df = pd.DataFrame.from_csv('https://raw.githubusercontent.com/cmrivers/ebola/master/country_timeseries.csv',\n",
" index_col=0)\n",
"df = df.sort_index()\n",
"df = df.fillna(method='ffill')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Cases per country"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"cases_titles = [k for k in df.columns if 'cases' in k.lower()]\n",
"df.plot(y=cases_titles)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 3,
"text": [
"<matplotlib.axes._subplots.AxesSubplot at 0x101040190>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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ajEMJR9HmpFZ53NHeAQ8ndzyc3HBzdMPBzh6tLo24jKJNsDJ12Sw7uBpnB2feGvAKzbwC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\nAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x110825bd0>"
]
}
],
"prompt_number": 3
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Deaths per Country"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"death_titles = [k for k in df.columns if 'deaths' in k.lower()]\n",
"df.plot(y=death_titles)\n",
"legend()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 4,
"text": [
"<matplotlib.legend.Legend at 0x101098b90>"
]
},
{
"metadata": {},
"output_type": "display_data",
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jkRkzZtCjRw+GDh1Kz549UVUVoGBZ0KVLlxIZGXnb+E+cOMH8+fNxdnZGo9HQ\ntGlTFi5cyNKlSzl58iSpqakoisLChQur5gOoJlJPWggh7lEVqYK1PHQFDh0a4eTqzORZf2NCh7+g\n1+nKVQWrJEuWLMHDw4N58+bRu3dvFi1ahFarZceOHbi7u7Np0yY+++wz5s+fD0BmZiZPPvlkQeWr\n/fv3s2/fPuLj44uM/5133mHRokWEhITQpEkTwLxeuaurK+vXr2fnzp0cP368Spagrk5yJS2EEDXM\nR3my1KvemlLeKliX4mK52iCFTg26c8OhIZO7jiEqKqpcVbBKmomt1Wo5deoUL730Ei+99BJpaWnM\nnj2b7du3c/78ef744w+OHz9eMKaUlBQAAgPNt9ebNm1Kbm4uV69e5eTJk0XGn5SUVFCsQ1EUzp07\nh4ODA8nJybz++us4OTmRlZVVUPqyrpIkLYQQ96DyVsFydHRk8KSnMBmNTOoymjetfqtQFaxjx47R\nrVu3Ysfw5ptvsmHDBnx9fXF1daVZs2bY2dnh7++Pt7c3f/vb38jIyGD9+vU0alT8AiX+/v707NmT\n+fPn3zZ+b29vzp8/T0BAAOfOnQNg//79XL9+neXLl3Pz5k1+/PHHOl8RS5K0EELcAzQaDYcOHSI4\nOBhra2sMBgPTp09n4MCBREVFMWHCBLKysnj00UdxdnbmqaeeYsKECdi62JFhnY270ZWuzdrTrVs3\npk6dyrRp04pN0m3atGH8+PE4Ozvj7e1Nx44dix2PnZ0dy5cvZ86cOej1ejQaDR06dOCvf/0rer2e\nt99+m+DgYDIyMhg/fnyx59JoNAwYMIDDhw8XGf8777zDnDlzCq6YFUWhY8eOrFq1imeeeQZPT086\ndepEYmJiQV91UalVsGqaVMEqm6XGVZilxmipceWz9PjAcmMsLi69QU+WPoc3v/+A9NwMlg6ei3cD\nz1oaYcVt3ryZwYMH4+7uzsyZM2nZsiUvvfRSbQ+riMpWwRJCCHGPOXTlKCsjNqA16AAYGfjEXSfo\nn3/+mS+//LLI9vJWwbpbjRs3ZsqUKTg5OWE0GpkzZ061nas6SZIWQghRICU7jbV/bEaDhi5N78fV\noSF/affYXfdX2SpYd+uxxx7jscfM446MjMTV1bXGx1AVJEkLIYQAzO9Sf/7HZjK1WUzpOpbHWltW\nsYr6SN6TFkIIAcCB2MNEXv2T+73a8GirfrU9HIEkaSGEEMDN7FS+PLoNBxt7XuzxjLmQhah18ikI\nIcQ9zmQvCXOaAAAgAElEQVQy8fmRzWTqsnm60wi8nD1qe0gijyRpIYS4B0RERNCrVy+Cg4MJDg5m\n7Nix7NmzB4Do9HMcvRZNhyZteTSg9Nvc27ZtQ6/XExERwWuvvVapMQ0YMACtVlvw/fnz5wtWDivO\nmTNn+OyzzwD48ccfC95xLsuFCxeYPXs2YK68NWXKFJ599llGjx5dMPM8fznS0vzxxx8F64bXFJk4\nJoQQ94CSqmC5eXvw041DONo48EL3p8tc1GPt2rUMHz68JoZcRNu2bQsqZG3cuJF3330XLy+vCvUx\nf/58PvrooyKVtxo0aMDOnTsZNWpUicfu3LmTIUOGoChKpeKoCEnSQghRw3acjiPyemqV9hnk3YhR\n7UpeBKq4KlhPjRzGhxuWkpyZgstNO17Z8XKJVbCWLl3KkSNHuHHjBq+99hrPPPMMly5dqlQVrNIU\nV/Hq5MmT5nrWw4Zx5swZZs2axebNm9m6dSvfffcdAEOGDCE4OJgLFy4wZ84cHBwcMJlMNGvWDDC/\nP11c5a233nqLmJgYVq1axciRI3nnnXfQarUkJSUxffp0mjZtysGDBzl9+jStWrXi2LFjhISEYGVl\nRVBQEK+//jqRkZEsWrQIW1tbHBwc+PTTT3F2dr6r+POVmqQVRbEF1gMtAXvgfeA0sAEwAtHAy6qq\nmhRFmQo8D+iB91VV/U5RFEdgE+AJpAMTVVW9UakRCyGEqLSTiWf5OvYnLvxxlibNvfnu39+g1WoZ\nM2YMffr0KaiC5eXlxdq1awkPD+eFF15g9erVLFu2jKioKLRaLatWrcJgMNC/f3+mTZvG7t27mTdv\nHu3bt2fLli0YDAasra3LPa78K/n8ildvvfUW//jHP9i/fz+NGzcG4KGHHqJt27bMnz+f2NhY9uzZ\nw5YtWzAajUyePJm+ffuyePFipk+fTq9evfjoo4+4efMmYK68tXHjRubNm8fly5cZOnQob775Ji++\n+CLnzp3jpZde4vfff2fy5Mn06NGDqKgoVqxYwfr16+nXrx9DhgzB0dGRlStXsmvXLuzt7XnzzTf5\n7bffOHjwIE888QQTJ07kp59+4tatW9WbpIEJQJKqqsGKorgBx4EoYI6qqvsVRVkNDFMU5RDwChAE\nOAIHFUX5EXgROK6q6nxFUcYAbwEzKjViIYSo50a18yn1qrc6GY1Gdp8OZ/vJb0lLSuHhQQM49vMf\nPPPMM0DxVbASEhLo2rVrkb4qUwULwMHBAa1Wi52dHWC+Be/g4FCw/86KV3cymUycPXuWq1evFow/\nPT2d2NhYLl68SIcOHQDzbfLffvut1MpbDz/8cEG/jRs3Zs2aNezcuRONRlOkUtbly5e5efMmzz33\nHGD+g+LKlSsFf8RMnDiRJk2a0KlTpzI+jbKVNXFsBzC3UFsd0FVV1f152/YAA4HuwK+qqupUVb0F\nxAAdgT5AeF7b8Ly2QgghaoHOoGPB/pVsi/6GhhpnbFQtQX6dCAwMJDQ0lC+//JLHHnuM5s2bM3fu\nXD788EMWLlyIl5dXQbK1srIqVxWs0NBQTp06xbFjx0ocT2BgIN9//33B9/v37y+xIMedrKysMJlM\n+Pv706pVK0JDQwkNDWXYsGEoikKrVq2IjIwEKKiCpdFoePPNN7l06RJAQeUte3v72+L69NNPGTZs\nGIsXL6ZHjx4FsWs0GgwGAz4+PjRt2pQNGzYQGhrK+PHj6dSpE19//TUjRoxg48aNtGrVim3btpUr\nltKUeiWtqmomgKIoLpgT9lvAkkJN0gFXoCGQVsL2W3dsE0IIUcMSM5P55eA+7M4cpqGjC9bOXrzx\n2htlVsHy8vLC39+fpKQkgCqrggXwxhtvMHfuXLZs2YKNjQ0tWrTg3XffBYr+AZD/ff5/u3TpwsyZ\nM/nXv/5Fr169GDduHLm5uXTu3JkmTZowe/ZsZs+ezfr167G1tcXT0xNbW9tiK2+NHDkSnU6HTqdj\nyZIlPP744yxevJiNGzfSuXNnUlPN8wc6derE0qVLWb58OZMmTWLChAkYjUZ8fHx48skn0Wq1vPXW\nWzg6OmJtbc38+fMr/bmVWQVLUZTmwC7gM1VVNyiKckVV1eZ5+4Zhvjr+AXhcVdWX87bvAj4A5gAf\nqqp6RFEUV+CgqqodSjmXL3Dxk08+wdOz/lRbEUKIuixFd4vNcd+Qacimv0d3ejTqWGdLM95r8iem\ncTdVsBRFaYI5Ab+kquoveZujFEV5SFXVfcBg4CfgMPCBoij2gAPQDvOksl+BJ4AjeW33Uw7t27eX\nUpUlsNS4CrPUGC01rnyWHh/UzxhvZqWy/uclZBqyebbLaAa3ebhIm+qMq7aqYBVWlz+3uLi4UveX\nNXFsDuZb1HMVRcl/Nj0d+FRRFDvgFLAzb3b3p8ABzM+u56iqmps3sSxEUZQDQC4w/u5DEUIIURG3\ncjN4b98nJGUmM6b90GITdHWrrSpYlqKsZ9LTMSflO/Uvpu06YN0d27KB0ZUYnxBCiLuQpctmwb4V\nxN+6zpPKQEYEDq7tIYm7IMuCCiGEhdHqtSw6sJoLKZcZ4Neb4E4j5Bl0PSVJWgghLIjeoGfpb19w\nOukcDzTvyvPdJkiCrsckSQshhIUwGo2sjNhA1LVoOnsH8veez2JlJf+br8/k0xNCCAtgMplYF7mF\n365E0rZxAK/3+Rs21v+bdlRaFayKqMoqWCVVpKqIwpWxLJEU2BBCiHrOZDKx+cRu9l44iF+j5szq\n9zL2Nna3tSmpCpafn1+FzlWVVbDee+89Fi9eXKQiVX6lq/IoXBnLEkmSFkKIGrb+m5P8ejy+yvrL\nNWjJdLqM7/3e/POhV3CycyzSprgqWGPHjiU8PJz4+HiWLl2K0Wis0SpYHh4exVak2rVrFwcOHCAl\nJYWUlBReeeUVBg4cSHh4OGFhYQWrha1cuZKzZ8+ybds2li1bxqBBgwgKCuLixYt4eHiwYsWKen+7\nv36PXgghBNm6HABe7/s8DR1cyn2cu7s74eHhJCUlERYWRkhICGvWrCE9Pb2gClZoaCiDBg0iPDyc\nUaNG0bhxY5YtW4bJZCqoghUWFsamTZsA2L17N3PnzmXr1q0EBARgMBhKPP+SJUvw8PBg3rx59O7d\nm0WLFqHVagHz8/UNGzawbt06FixYgMFgIDY2ls8//5ywsDACAgI4ePDgbZPi4uLimDFjBlu3buXm\nzZv8+eefd/PjrFPkSloIIWrY5KH3M3no/VXS15W0q7we/h6dm7TFp2HTCh179epVhg4dyvbt2wkO\nDgZqrgpWaRWpnJ2d6dWrFwCenp64uLiQkpKCu7s7M2fOxMnJiYsXL9KlS5fb+nRzc6NJkyaAuXJW\nfsKvz+RKWggh6rEfYw4AMKjVgxU6LiMjgx07duDi4lJrVbBKqkgFFFwF37hxg5ycHBwcHFixYgUf\nf/wx77//Pvb29kX+ALhzPGXVpqgP5EpaCCHqqRxdDvsuHcLN0ZVuzUov8ajRaDh06BDBwcFYW1tj\nMBiYPn16rVXBsrOzK7Yi1YgRI/jqq6+IjY1l0qRJZGRkMG/ePBo0aEDXrl0ZM2YM7u7u+Pn5kZSU\nhI+PT4nvgVvC++GSpIUQop46ePkI2focnlQewdrKutS2PXr04Lfffit239NPP12kAMWsWbOKbfvh\nhx8WfN2zZ8//jeXgQQBGjRrFqFGjyjX+Ll26EBYWVmS7RqNhwIABTJ48+bbtH3/8cbH99OjR47Yx\nAAWz2Os7SdJCCFEPmUwmvo/Zj5XGikcC+tb2cEp0t1WwLOEquCpIkhZCiHroXPJFYlPj6OnTBXfH\nRrU9nBLdTRWsqnoP2xLIxDEhhKiHfojZD1R8wpioXyRJCyFEPZOty+H3K5E0dfGivZdS28MR1UiS\ntBBC1DNR16LRGfX0adFdnt1aOEnSQghRzxyOM7973NOncy2PRFQ3SdJCCFGPaA06jl6LpolzY1q4\n3lfu4+piFawBAwbw3HPP3bbtyy+/LLNgRt++5tnsCxYs4Nq1a5UaQ10ns7uFEKIeiU44Q44+l0cD\n+lXoVnddrIIFkJiYSEpKCm5ubgDs27cPV1fXch07Z86cKhtHXSVJWgghaljosX9z6MrRUtsYMZGl\nzcZoMt62XW80F6w4EHv4tj4eaN6V4M4jS+yvLlbBAnj88ccJDw9n3LhxnD9/nhYtWhATEwPA2bNn\nWbRoEQaDgZSUFObNm3fbet3BwcG8++67+Pv7l3qO+qxct7sVRempKMoveV93URQlTlGUX/L+jcrb\nPlVRlCOKovyuKMqQvG2OiqL8W1GU/YqifKcoSuPqC0UIISyDCUjPzSBbn0OuQXvbP4PJgLXGChur\nyl9j1XYVLIAhQ4YU3Hb/5ptveOqppwr2xcTEMHPmTDZs2MDUqVPZtWtXkeMtfeJcmZ+yoihvAk8D\nGXmbgoBlqqouK9TGG3glb58jcFBRlB+BF4HjqqrOVxRlDPAWMKNqQxBCiPoluPPIUq96d578ju3R\n39KhSVte7B4Md+ShhvYu2FnbVnoctVkFK1/Tpk0xmUxcv36do0ePMmPG/1KEl5cXq1atwsHBgczM\nTBo0aFDpmOub8vwpFgOMAELzvg8C2iiKMgw4hznp9gB+VVVVB+gURYkBOgJ9gEV5x4UDb1fh2IUQ\nwuJEXv2THdHf4enkzoxeU3Cxr57ElF8Fa9SoUQQGBrJ69Wr0ej1r1qyhefPmTJ48mb179+Lk5MSs\nWbMqXAXLzs6OKVOmcOzYMbp161bqWIYMGcLChQuLlJ5csGABH330EQEBAaxYsYL4+Pgqir7+KDNJ\nq6q6S1EU30KbIoDPVVWNUhRlDvAOcAxIK9QmHXAFGgK37tgmhBCiGNfSE1lx6EtsrG34R98XqjRB\n17UqWPljAnjsscd4//33+eqrr27b/9RTTzFjxgy8vb1p3759wRgKy4y9TOKlWLLj4smOj8eQk1uw\nz9rBAf+/PVfkmPrkbh5q7FZVNT8h7wZWAPsBl0JtXIBUzAna5Y5tQggh7pCty+Gjg2vI0mUzreck\n/NyaV2n/dbEK1k8//QSYy1ZGR0cX6WvSpElMmjSpyHH5++f16cf15Z/edoV4J9dOHcGr/k6Hupsk\nHa4oyt9VVT0CDAT+AA4DHyiKYg84AO2AaOBX4AngCDAYczIvU3R0NAkJCXcxtNtFRkZWuo+6yFLj\nKsxSY7TUuPJZenxQPTGaTCa+uv4zcZnXCHK9H+dkGyKTa/ZnWV2fXWRkZLHvYz/22GN07979rvs1\nmUzk7jsATo7YPPQgmsYeWDVuDI4O5v3xV9GGbCL22DFsBw2ss7+bxd0dKKwiSTr/6f8LwGeKouiA\na8DzqqpmKIryKXAA84zxOaqq5iqKshoIURTlAJALjC/Pidq3b4+Pj08FhlZUZGRkkb8MLYGlxlWY\npcZoqXHls/T4oPpi/M/Zn1HPX6SdZ2te7/8iNmXUhq5q1fnZBQUF8fzzz1d5v+nnYjiRlYXXIwNo\n/ULR/nW3bnE4ZBOuRhNZeeOoi+Li4krdX64krarqJaB33tfHgSLFS1VVXQesu2NbNjC6fEMVQoh7\n04HYw1hbWfNq7+dqPEHXVymR5nfE3YKKzjoHsHFxwdrZmeyr9XtFMlkWVAghapHeaOByajwtGjaj\nkUPD2h5OvZESeRSsrGjUufiJaRqNBsem3uRcv47JaCy2TX0gSVoIIWrR1VvX0Rn1VT5RzJLp0tLI\nOBdDw8B22Dg7l9jOoVlTTHo93EqvwdFVjDEnp9T9kqSFEKIWXUi5DICvJOlyS4k6BiYTbl27lNrO\nsWlTAIw3b9bEsO5KbNi2UvdLkhZCiFp0KeUKAP5uLWp5JPVHSmQUUPLz6HwOTb0BMN1MqfYx3Q2T\nycStk6dKbSNJWgghatHF1Cto0NCiUfnLTt7LTAYDqVFR2Hl44NSy9D9sHJs1Mx9TR6+kc65eQ3/r\nVqltJEkLIUQtMZqMXEqJo1nDJjjY2Nf2cOqF9HMx6NMzcAvqUmZxjbp+JX3rVOlX0SBJWgghak1i\nxg2y9Tn4NZLn0eVV1qtXheW/hlVXr6TTTp4us40kaSGEqCUX8p5Hy6Sx8kuJjEJjY4NrKWuC59No\nNDg2a4opJRVTGSUza8OtU6ewbuBUapvKFyQVQghxVw5dMV8VBri3rOWR1D2pJ/4kNerYbdtMRiOZ\n58/j2rEDNk6O5erHoak3GediyL2RjEMTr+oY6l3JvZFMbkIiDQLbwoljJbaTJC2EELXgz4QzHIo7\nSmsPP9p5tqrt4dSqzEuX0KX9bwJV8u8RXN8TXmJ7jwd6lrjvTvmvYeVcu1ZjSVqfkUnan9GkHj9B\nzrXiVzzTpWcAYO/nX2pfkqSFEKKG6Y0G1h/dhgYNU7qOwUpz7z55TDt5iug5bxfZ7tSiOb7PTiyy\nWInG1gZnX99y9+/QzJyks69do1HnTpUaa1lyEhI59/Gn3DqjQjlWObNysGfHxdLbSJIWQogaFn7u\nF+JvXWdgQD/87+Fb3SaTidiNmwC4b8RfsHYwV7CycXGhycABWNnZVfocBVfSNbCG96WQUG6dOk2D\nNq1x69qFRp074ezvh8aq+D/Ctvx4llPfHC61T0nSQghRg1Ky09gR/R0N7JwZ1+Gp2h5Orbp5+A/S\nz6i49+yB78TgajmHQ9P8K+nr1dJ/vszYyyT/9jvOAf50XLyQuMQMvj0WT+zh48W2N5kg4uR13Bo6\nUNrFtCRpIYSoQZuP7yZbn8PUoPG42Deo7eFUG5PBQOIv+7j27X8wZGcV20abmgZWVrQMnlBt47Bt\n6AIODiU+G64IbUqKeS3wYlzZshVMJuLv78eXy/dxIT6tzP4c7W2YMuR+jv5fyW0kSQshRA05kxTD\n/tgI/Nya84h/n9oeTrW48Pm/SD4UgVGrRZ+ejsbGBltX12Lb2jg74/XUkzg196nWMWnc3ci5noDJ\nYEBjXf5SoEadDkN2Nrk3kokN3Uzq0ahS26c08GTtSSPW1rfoHtiEB7v40KlVY6ysil90xd7OmhuJ\npV/hS5IWQogaYDQa+ddRczGFKV3HYlXCc8r6zGQykfDTz5gMBuw9PPB4oCfNx47GvrFHrY5L4+6O\n8eq1Cr2GlR1/lT//ORddyv9WK7vewJs02+LvfuiMcMRF4dGeLZn05P00dK7883SQJC2EEFXKvNTn\nFbQG3W3bTyScITY1jv6+vWjTuPTXbuorfXo6xpwc3Hv2oN2cmbU9nAIadzeg/K9h6bOyOL3gQ3Qp\nKWS2aEO6wYqDxqbEu/ni7lr8+9nW1hr+0suXIX38ylyutCIkSQshRBVJz81gZUQIUdeii93vaOvA\n+E5/qeFR1ZychEQA7L3qzqIhAFbu7hj432tY+qwsznz4EdoSlgs1ZGahvXmTw67t+NmuOwCBfu6s\nDu6GRwlJurpIkhZCiCpwLvkiy39bx42sm7T3UmjT2K9Im45NAmnk0LAWRlczchOTAHDw8qzlkdyu\n4Eo67zWsq199Q9rxE1g7OaGxKT4N3mrViV9MHZg89H7aB3jg38wVa+uaf0QhSVoIISop/Nx/CTm2\nE6PRyOj2QxkR+Pg9uUBJbmL+lXTdTNLZ166hu3WL+P/7GltXV4LWfoa1Y9ErY6PRxOT3f8ApV8+Q\nPn7Y2ZZ/sllVkyQthBCV8Ef8cdYf3YarvQt/7zWZDk3a1vaQak1OYt283a1xcsKmQQMyL1ziwtp1\nGHNyaPn0+GITNED0hRskp+UwqGfLWk3QUM4krShKT+BDVVUfVhSlFbABMALRwMuqqpoURZkKPA/o\ngfdVVf1OURRHYBPgCaQDE1VVvVENcQghRI27mZXK6sOh2FrZ8Fb/v9OyUfW+SlTX5Sbl3+6uW0ka\nzMuM3jp1mhsHf8Xg0ohDDgHwS0yxbSPPJADQP6j2P88yk7SiKG8CTwMZeZuWAXNUVd2vKMpqYJii\nKIeAV4AgwBE4qCjKj8CLwHFVVecrijIGeAuYUQ1xCCFEjTIajayM2EC6NpPJXcfc8wkazM+krZ2d\nsGngXHbjGnQ9RUty+8e4lO5JTq6eKw5epIarpR7TxN2J+/1q99UxKN+VdAwwAgjN+76rqqr7877e\nAwwCDMCvqqrqAJ2iKDFAR6APsCivbThQdBV1IYSoh75WfyQ6USWoWQcea/VQbQ+n1plMJnISEnFs\n6l0r58/VGTh+Lom09NyCbakZueyPiufSNXOFLRe3NjzaowV/8feAMt6S8mvqWuIiJDWpzCStquou\nRVF8C20qPOp0wBVoCKSVsP3WHduEEKJei0m+xLY/v8bNwZUXezxTpe/F1lf69AyMOTk1OmlMpzfy\nx+nrHDx+lSOnrpOdayjSxsZaQ1sfB4Y/0oHugU2wtandZ8wVdTcTxwrX32oIpGJOxC6FtrsUsz1/\nmxBC1FvZuhw+ObQeo8nEtAcm0dCC19+uiIKZ3Z41k6S1OgPvfPE70eeTAfD2cOKJ3s1o4f2/VGRr\nbU2nNp6cO/MnQR2b1ci4qtrdJOkoRVEeUlV1HzAY+Ak4DHygKIo94AC0wzyp7FfgCeBIXtv9xXd5\nu+joaBISEu5iaLeLjIysdB91kaXGVZilxmipceWz9PgAFv/4GQkZSTzQqBPauEwi4ywj5sp+dobT\nZwBI0mpJqebfA6PJxL9/vcnJy9m0bubAwx0b0tTNFo0mB8gp1BDOnTGvjV1XfzeT8ibblaQiSdqU\n99/XgS8URbEDTgE782Z3fwocAKwwTyzLzZtYFqIoygEgFxhfnhO1b98eH5/KTcKIjIwkKCioUn3U\nRZYaV2GWGqOlxpXP0uMD2PjfbZxMj6GVuy9/f2QqNlb169ZpSaris4u/Es8loFXXrnhU8+/Buq+i\nOXk5m0A/d977W+8yX5Oqy7+bcXFxpe4vV5JWVfUS0Dvv63NA/2LarAPW3bEtGxhdrpEKIUQdlpCR\nxA+Jv+Jo48Dfe022mAR9N9LVs2gLFZ4ASIs+CYB9k8rd7jaZTKRn6TCZTMXu/+nIFb7af57mTRrw\n1uSetf4ec3WTxUyEEKIMeqOBT35fj9akY1rQBLwb1K0VtWpS6vETnJz7bvE7raxw8GpyV/3GJ2Ww\n/2gc+6LiiE/KLLWte0N75k3thYtT1VSaqsskSQshRBm2R39DzM1L3O/Sigd9e9b2cGqNUavl/JrP\nwcqKFuPGYO3gcNt+R5/7KvyOdGp6Lgs2HOb0JXOxCztba4LaeuFgV3x6srO1YuSA1ni5Od1dEPWM\nJGkhhChFdMIZvjr9A02cG/OoZ+/aHk6N0qWnkxJ5FJPB/GrTrVNnyLl6jaZPPkHz0X+tdP9Go4ll\nYZGcvnSTzq09eaR7c3rc742Tg22l+7YUkqSFEKIEN7NSWRGxASuNhum9ppB2Kbm2h1SjrmzbybVv\nvr1tm527Oy0mjCvX8Tq9kUN/XiMrV1fs/pi4NKLOJtGtXRPentyzTiweUtdIkhZCiGJkabNZuH8l\nKdlpBHcaSSsPXyLvsSSdHR8PQMDLL6CxNk/QatiuLTZOJd9qTriZRey1W2Tm6Nj241nikzJKbAvQ\n2NWBV8d1lQRdAknSQghxB51Bx0e/riE2LZ5BrR7kSeWR2h5SrchNTMLGpQHegx4tV/scrZ43Pt1P\nSt7SnFYaeKK3L+183Us8plMbTxo6W/4EsLslSVoIIQoxmoysOryRk4ln6X5fJyZ3GXNPLvtpMpnI\nTUzE0ee+ch/zQ0QsKem59OrQlEA/dzq19sSvmawGXRmSpIUQopDNx3fz6+U/UDz8mf7AZKysrGp7\nSLVCf+sWRq223LWhdXoDu36Jwd7Ompf/2gnXBvbVPMJ7gyRpIYTI85+zP/ONupf7XLx5s9+L2Nnc\nu7dhcxLNy1XaeHhwIT6NuMR04hIzyMwpfhJYUko2yWk5/OWhAEnQVUiStBBCAL9fiSQkaiduDq7M\neWgaLvd44YycBHPBjC0RSRxR/1uuYxztrRnev1U1jureI0laCHHPO5V4lhWHNuBgY8/sB1/G09mj\ntodUI0wmExev3uL0lWy0dtdu23chPApfQOPmzuBevjT3csHHq0Gpk7zcGjrg3tChxP2i4iRJCyHu\naZdT41l8cA0mTPyj79/wdWte20OqVjq9kT/P3+DwyetEnLzOjdRs844Dt79e9mhSPL7AC5P74xnY\npqaHKfJIkhZC3LOSs1JYuP8zsnTZvNLzWTo0aVvbQ6oWBqOJY2cT+fnIFf44k0BWjh4AZ0db+nf1\nwZ50mje//Y+TRl/9AWng1qJ+1mG2FJKkhRD3HK1Bxx/xJ9gR/S3J2SlM6Dicfr49antYVS4pJZu9\nh2P58chlklLMV8xe7k4M7N6Cnu29CfTzwMbaKq+UY8Btx0btzCDXyQlr54qtxS2qliRpIcQ9wWQy\ncS75Iv+9dIjfL/9Bps6ctIa0eYSn2pZvsY76QG8wcuRUAj9ExHL0TAJGEzjYWTOoZ0sG9WxBmxZu\nZb73bX5HOgl7L8978h3xukSStBDCoiVlJrP/UgT7L0VwLcM8Y9nN0ZVHAvrxkG9Pmrtaxu3cazcy\n+fFwLHsPXy5Y8atNi0YM6ulLv87NKlS0Qp+RgSE7G3uve7ckZ10hSVoIYXFydDkcioti36VDnEw8\nC4CttS19WnTjId9edGzStt4tUmIwGEm4mYUJyM7Vk3Irh0vXbnHuSirnrqQWTABzdrTlyb5+DOrZ\n8q5X+8pNMr8j7VDOhUxE9ZEkLYSwGFnabDYd38WB2MPkGrQAtPNsxUO+D/BA86442TrW8ggrTqc3\n8kvkFXb8dJbryVnFtmnUwJ7ugU3o1/k+endshr2tNUatluxr19EmJ5N7I5n/b++84+O6qsT/nT4a\nFatYlovc7RwnTuz0kIQQQiAJEBIgsEsLbVlYNqHv/nbpLAthIfSlkwChkw1hgYSUBUIK6SbNdnIc\nl7hLllUsjaaX3x/njTSW5W5LT/L9fj76zOg13av33j3lnnNurqeHXE8v5UKBcqkEpZJ9lkvkdnaz\n5i1EVgIAACAASURBVN77h66X67ZI71irs6THGyekHQ7HpOC53i18+f7v0ZHsYlptCy+Y9zzOn3cW\nbXX+FjTJdJ4NW3fRVUmFqqJ/MMvv713Pjt404VCQ806eRSIeJhoO0hLKMz2UYXowQzTZR7brOXK3\n/omnf9JDdmc3hYGBg2pH18gNgQB1i11hkvHGCWmHwzGhKZfL3LXhfq7/26/IF/NcvuQiXnfSZYSC\nofFu2qgUiyWe2djLimc6WfH0DtZv27XP46PhIJedt4BXX7CIpkSYdd/+HjvvvY9SzjwFHSOOD8bj\nxKa2UDt/HrGpLURbWoi2NBNraSHS1EQwGiUQDBIIBsH7XLlyJSeedOJu1wnF40QaGo5gzx2HghPS\nDodjQnPjylv49eo/UBtN8MFz/pHTZp403k3ag1Qmz4MrO3h4dQePr+liMG31r8PBAGe2x5g/o55p\nTYk9IqmDwQAnLmihsT5GOTOAfuMH9Dz8CPHpbSaE29qIT2sl1tZGrLWVWOvUfa71vDcCW6a4+Wef\ncshCWkT+BlRUwPXA54AfASVgJXCVqpZF5B+BdwIF4DOqeuthtdjhcDg8tvZ38L9P305rbQufvOAD\nTBvncp7lcpk/P7qZW+5bT65Q8rZBZ/fg0O9z6spc3jbA3MGthDasobBm35b02hG/T1m+jOM/+u+E\nYm4Ri2OBQxLSIhIHUNULqrb9DviIqt4jIt8GLheRB4H3AKcBNcB9IvJ/qpo7/KY7HI5jnR8//muK\n5RJvPeW14y6gt+8c5Js3Pc4Tz+4kHApQExtOeVpcm+cFgW1M7VhLfu1mAMpAoKmRlnPOJhg9sNW2\nYq1TaX/tFU5AH0McqiW9HEiIyB3eNT4KnKqq93j7bwMuAorAX1U1D+RFZC2wDHj08JrtcDiOdR7f\nvorHtq/kxGnC6TOXjfnfT2cLbOtKsq1rkHVb+/j9vesJZtP8feg5FnUqgaKV3qRseccAhUiEKcuX\n0XTKyTSespzE3LmuWIhjnxyqkB4ErlXV60VkMXD7iP0DwBSggWGXePV2h8PhOGQKpSI3PH4TgUCA\nt5zymqMq6Dq6B9mwbRfbugZ58ple/ufB+9i+M0lPf3bomEgpz3mpZzmjdxWBbJpAQwPR5uah/XWL\nF9H6wvNped6ZhOJulSjHgXOoQnoN3lSJqj4rIt3AKVX7G4A+oB+or9peD/Tu7+IrV66ks7PzEJs2\nzIoVKw77Gn5ksvarmsnax8narwpj1b8VfavY2t/ByQ1L2Lmuk50c/nhRTaFY5unNaR5dm6R7Wx+N\n+QFqi2nqCmlaihkWk2EKGeoKaeL5FOFsmkC5DDU1hF9yIaHTT6UUGXZ3Z4DNwOZVq45oO48k7tkc\nH7q69kh+241DFdJvw9zWV4nITEz43iki56vq3cBLgT8BDwOfFZEYEAeOx4LK9smJJ55Ie3v7ITbN\nsILxpx3WNfzIZO1XNZO1j5O1XxXGqn/bBjp54I8/JxGp4eoL3k5DvH7/Jx0gHd2D3P7Ac9x//9PM\n6lzLecnnaM/sfRANxuNEmxqJNs1lyvJlzLzs0kOKrh5v3LM5fmzZsmWf+w9VSF8P/FBEKnPQbwO6\nge+LSBRYDdzkRXd/HbgXCGKBZS5ozOFwHDTJ7CA3rbqVO9bePRQsdiQEdLFY4uHVnfzp7tVkH/8b\nxyc38OZ0JwGAQIApy06i/rjFRJqa2NLbw5LTTiPS1Ei0sZFQzcSrYOaYWBySkFbVAnDlKLteOMqx\n1wHXHcrfcTgcjkKxwO1r7+bXq25lMJ+mra6VNy57JWe1n7L/k0dQLJXp3pVmR0+Kzp4UWzftYPPd\n9zOn61nOT20nSBmAuiVLmPaC59Ny7tlEGxuHzt++YgUNJxx/xPrmcOwPV8zE4XD4lic7nua6Fb+g\nI9lFbaSGN598BRcvOp9IaPQVncrlMn3JLB07U3T2pujsGaSzO0VvZze5bdsIde+gKdtHS34XLbl+\nFhSSVFZRjsydz6wLX8DUc84h1jp17DrpcOwDJ6QdDocvuXvDg3z7kZ8QAF66+AJeueQS0oNBHtdu\nOrpTZHIFcvkS+UKRXckcm3cMsK1jF829W5mW7aUl30dLrp/jc7tIlLJ7XL9U10Co7Timn3Eq0194\nHjUzpo99Jx2O/eCEtMPhGHPyhRKpTJ5kOs9geviz8rOy/xFWZe8lTIw5qRfx0J0JfvuLv1AslXe7\nTqyYozE/wMxsFyeltvGKdAfhUmH4gECAcOs0aufMpm5OOzXts0i0t1Mzaxbhutox7rXDcfA4Ie1w\nOA6LTLbAc9v7eXz9IFtT60hnCqSzBVIZ+xnMjBDEmTzZXHEvVysTbn+WyMz1lHMxkno6q9JlWmKD\nnFWfYg4DtGZ7SezqItDTBYPJ3c6uaW+n6bRTqBchMXsW8RkzCEZGd407HBMBJ6QdDsdeyRdKbN+Z\npLMnxUAqR/9gnoFUjoHBHLsGs2zcPsC2nUnKQwbu6GUQggGorYmQiEdon1ZHXU2E2poItXHvsybM\nrsBmnkzeT8/gdhb11fDy4EnEwpvI920kv3PniAsGibdNIy6LqZkxg8Tc2TSefDLxNrdIhGNy4YS0\nw3EMUy6XyeaKpLMFuvrSbNkxwObOJJs7B9iyI8n27kFKI1zM1dTGwyxd0MKCWVMoZ3o58fhF1MTC\nJOJhamJhamImgGti4VGrguWLeZ7oWM1tD95McNU6nr81R3tXnmCxTJFNpIDIlCk0nrycxLy51M6d\nS2LeXBKz252F7DgmcELa4ThKlEplevoz9PRnyBdKrNueobiqg3yxRKlYplgqUSyVh35KxRL5Ypl8\noTgUEBUKBYlFQsSioT0+C4USPQNZ+voz9CazowrTQrFEJlck6/1kcgUynlBOZwukM3n2JoPraiLI\nnCbap9UxY2otDbUxGmoj1Cei1NdGaUhEaayPDQnfFStWcNqymfv8n5TLZXq3bmLl4/ex7ZmnyG3a\nQnNPjhcNDLu/axfMp2HpCdSL0LDkOKJTp7r61o5jFiekHY7DYDCdp6N7kM6eFB3dKTp67Htn9yCd\nPWkKxdLuJ9y1c/QLjRHRcJBYNExNPExrYw2JeL1n+UZorI8xe1od7W31zJ5Wz5S66GEJx0IqRWrb\nNjp0FV1rnibz3EZC27qJ5IqEgNneccVYhNgyof3c82g64zRiLeO7mpXD4SeckHY4gGy+yK5klnIZ\n8oUifQNZUtnhKOGyZxVXhHFnzyAd3SmS6fyo16tPRJk3s4HpzQmmNtYQi4To2tHB3DmziYSDhEIB\nQkH7CQaD9t3bFo2EiEZCRMJBisUy2XzFEi4Mf88XCQUDNDXEaaqP0VgfJxIO7tGOUDBALBoiHg0T\njYQIBY+8RVouFul/5hnyf7mHNXffR3LbVlLbtxFIpnc7Lgb0NoTIzGlmyoIFzFt6GnNOOJlYa6uz\nlB2OveCEtOOYobc/w9otfazd3MfaLbtYt7WPlOfu3Xu08ehEw0GmNSdYMq+ZtuYE01sS3mctbc0J\nEvE950tXrEhx2mmLjlR3xpViOs3As2vpefBhdt7/APleCxjrAooB6K8LsWtGlGxTgvjsdhoXLmb2\n8cs4uW0hdTGX+uRwHChOSDsmJX0DWRPIQ0K5j+5dmd2OaZkSZ2ZrHWCWb2NdjGAwQDgUpLE+Rm08\nDAxbeI31sSFh3FQfJ3gUrFI/US6XKWWzFAYGyHbtJLluHcm160iuXU9661YqId35eBhdGGd9e4ze\npihz5grLZ57E+TOWMqthurOSHY7DwAlph29JZwvsSu5eKSqTKzKQypFM5Ummcgyk8iTT3mcqx0Aq\nx9YdSXaOEMjNDXHOPGE6i2Y3sqh9CovaG2lqOHbW9S2Xy+R39ZPp6CC7YweFwUGKqTTFVIpiOkMx\nnaIwOEhhIEkhmSQ/MEBhIEm5UNjjWqGaGmKykNWxAZ5szrClLcri1oWcFJ7La869jHjk2Pm/OhxH\nGyekHeNCsViie1eGHb0puvrSdPWmh75v3t5D6uZbGczsKSAOhKb6GGec0Mai9kZPKDfSPEkFcrlc\nppTLUUynyfftItfbS763j1xvL7nePnI7u8h0dJLe3kEpk9n/BQMBwnW1hOvqiLW2EqmvI1xXT6Sp\nkboFC6hdOJ+HMhu5/vFfkSuWeV772bxTLuS4qQtYsWKFE9AOxxHGCWnHUaFcLtM/mKNvIEvvQIae\n/iw7+9Ks2dTL+m276O5L7zX1Jx4J0NZSx5LGGqbUxaj2lsajYepqItQlotQnLB2oruqzriY6agDV\nZKGUz7Pzrw/QecedDG54jmImQ1UlkVEJxmLEp7cRnz6d+IzpxNvaCNfXE6qJE04kCNXUEErUEEok\nCNfWEgiO/v/L5DNct+KX3LPxIWojNbz3eW/nzPaTj0Y3HQ6HhxPSxyD5QokN23bxzMYetnQmKZbK\nlMvloc9yGUqVz1LZ+z68vVSqPsa+V87NFUr09WfoS2YpFEcXHs0NMZbMa6a1McG05hpaG2tobUrQ\n2mTfn171pG8XaB8vMp076LjjTnb88U/kd/UDkJg7h3BtLcF4nFA8TmTKFKJNjUSamog2NRJtaiLa\n0kyksfGw54U39W3lK/dfx9aBDhY2z+UDZ7+DaXVupSiH42jjhLSPKJfLFIqloRSboc+q76ufS7Fl\ncB29/Rl6B7IMpvPk8kVyBSt+USiaEC2WSpRKEAxCMBAgGAzYQF2GLTsGyBVK+2/QQRIIQMQLulo4\nq5GmhhhN9fGhNKHmhjgLZk1hamPNEf/bk5FysUjvY4/Tcdsd9K74G5TLhOvrmPWqy2m7+KKjumpT\nqVxi20Ana7ufY033Bu557kFyxTwvO+5FvGnZqwiH3NDhcIwF7k07QvQOWA7twGButxrHqXSeij1Z\ncQFv2ZEknS1QBgqecM0VSuTzxb26gHenZ9StkXCQcCjo5d4GCAYCQ9ZuxSIulWHWtDqWzG1mybwm\n5s+cQiwSIhAIEAhUC3T7XtkeCgZ2OybgXT8YYGi7i+I9PMqlEuktW9i16mn6Vz9N/8pV5HrsXtfL\ncUy/5GJazj2bUCx26H+jXCZTyJIv5imUixRKRYqlIoVSgc5kF892P8fang2s7dlIOj88h10XrXXu\nbYdjHHBC+jDo7Enx+3vX8+DK7XT2pA74vHg0RF0iCkAsGqI+ESESCREJBYlHrZDFHmUgve+dHdtY\nvnSxZ6HGqKuJDBW+cEJy4lAul8l2dZF8dh3JtWsttWndOoqDw89RuKGBtpe8mOkvvZi6hQsO6Lrp\nfIaedB896T66U730pPvYOdhDd7qXnYM97Ez1ki7sP4BsRv00zpi5nEUt81jcMp+5U2Y569nhGAeO\n2beuWCrTn8zSO5Clpz9Dnxfc1DuQoX8wN/STzhTIF0sUiyUKxRKFYpmiV+qx4jKuq4lw+vFtzGmr\np742Sn0iOlTjuLYmQrBKeCbiEaY2xg9ZoK5Y0b/f+sgOf1DMZOhf/TSpjZso5XLkN21iw+NPkt66\njeTatUNzyxVqZs2k7owzaFh6PA0nHE/NrFkEAgFS+TQbejfTmeyiM7mTzsGddCa7SOYGKZVKFMsl\nCqUCuzID+xTAiUgNrbUtNNdMIRaOEQ6GCAVDhINhwoEQjTVTWNwyj4XNc6mLuoIjDocfmBRCuly2\nko1bOpN09KToHciwYWMfj258kmy+SL5QIlcokskV6fME8a5kdr+u5ZpYiJpYhHA4SCwSJhQadicH\nAlATC3PhGXN4/vJZkzqi2HFglPJ5BnQNu558il1PrWRgzbN75Blv8z5DLU2ET11KcfY0MjObGWir\npz+QYzCXYjC/gdTaVSRXp9iZ6mUgm9zzj4EJ2kCQYDBEOBBiWm0LzYlGmmoaaa76aa1tpiXRRCLi\nYgEcjomGb4V0uVymsydFOlsgmyuSTOfpG8jQ0ZNiR0+KHb22eIGtdztIOjtaTu2eg1tNLERjfZwZ\nU2stoKkuRlNDnOYGq39sdZBj1CeiRCOho99Rx4SlXCySXLuOXU+tpO/Jpxh4+hlKuZztDAQIzplJ\nbsEMetoS7CgOsCW5g13lNP2JIOl4ECui2QW7sJ8RxEJRmhONLGyaQ1tdK211U+2zdirT6qYSDx/6\n3LTD4ZgYHHUhLSJB4FvAMiALvENV1+3rnL/pDr500zrWbu7b6zEWzBQkGAwwvSXB7Gn1Q0vqNTfE\n2fTcOpYvW0o0EiQatjnbWCREPOZbvcQxDpTyebb/4TYaTjiB+sX7rqtdLpVIbdxE12OP0f3EY2Se\neRYyuaH9/S01bGmbwtqpsHVahFw0D2yynUGoaYkzr2UJi2uaqIvVUhetpS6aoD5aR10sQV20ltpo\ngrpIgkSkxs0BOxyOMbGkXwlEVfUcETkL+JK3ba9866YniNY2c8YJbbQ1JYhGQtQlIkypi9HWbLWT\npzbWEA7t3cVcSm5m3oyGI9sTh68plIoks0lypQOvVNb1kxvpu+2PEAjQeMmFhObOojA4SH7TVnI9\nPWSLObKFHLlchpqOPmKZ4YU4eutDbGmPs7ktypa2KPlElKmJJlprW3h+opnW2hZaa1uYVtvCzIbp\nPLtSXf63w+E4KMZCSJ8L3A6gqg+JyOn7O+GcZTN526vPYXZb/R77CsUChVJxrwK6XC5TLJfIlfIk\nc4O7pZgUSkXyxTy5Yp58qVD1PU++WLDvxTzFcolSuUSxVKTMAeVEARAJRqj3LKT6WC310ToioTAd\nyS56Unv3ChwMz/VvpH99dv8H+o1ymXKhSCGXoZjL7fPQrdu2soPto1yiTDafJZlLMZhNksqlSGYH\nGcwOMphLkS1kCRz47WL6zjwXPzhAX10IKMNtf9zjmBCQ8H4GEiG2H9dEZkEbgePm0zxzNicmmnlR\nbQtTa5tpjDcQDLjYhPGiXC5TrhTf8QruWDG2yveyd5z33fssM+L38vAxQ+eU7LiBvjw7tvdX7R++\n7kSmrzvHtn14Lic6Y9W/crlMoVwYkiGlcnG/z0dnZ8c+94+FkG4AqsNYiyISVNXRqmmEAF52RguB\n/C62bNlzou5P//4B6nszZGIhSiEL4Kq8iLB7hcS1R6wLB0aa3TtaTTkAuQgUQoGDEPuj88xhnn80\nCZYhXCwTKtpn5XukUOZA49lbgb2J8SD2QB0pH8mOcIgNF51KrqGGhg1dhIsQiITJTa0n2NTI1Fqz\niKcmmpjT0DJ6VH4GUpkkqVFiIKrp6upiy5YtR6jlR5YnHtnMWu0aEnQcghBKpdPcdcvG3baVKVMu\nQalUss+9XKtcLlPyCvGUSiXvsyIc9//3y2U7diz4A7rP/Qvnb2Ja6+i1DPzI+uBstgSmc0vHhgM6\nvliCrWsKFHIH8P8uw35HvEDAXuyR71bddmjYfEBtOiCePszzg0UI7sNLFwAoQvDgCkXlhhcDGjUI\naiyEdD9QbRLvTUADzAB44xvfeNQb5XAMcc3hvr0Oh8Nx2MwA9ojXGgsh/VfgFcD/iMjzgCf3cewj\nwHnAdqC4j+McDofD4ZgMhDAB/choOwNHez5FRAIMR3cDvE1V1xzVP+pwOBwOxyTgqAtph8PhcDgc\nh4YLRXU4HA6Hw6c4Ie1wOBwOh09xQtrhcDgcDp8yoYW0iMREpGW823G0EJFJXxfSKxs7qRCRJhGZ\nlIXfRWS2iJzjfZ+Ua6OKyAwRcUvNOXzBRB8g7wTeJiKTal09EQmKyEeB/xrvthwNRGSmiNwMsI+c\n+QmJiJwG/AC4ZLzbcqQRkRjwMeDfRCShqpMu6lREmoGbgFeJSGS823MkEZFTReTC8W7H0UJEXiIi\n7xjvdhxpJqSQFpGo9wJFsdSuE8e5SUeaKHA68BIROQkmncU5B3iliLwHYDJYnVV9qMf690IRmT6O\nTToa5IEa7/PdMLmsaa8vdd6vC4DnjWNzjgafAt4sIseNd0OONJ48eDvwOhGZ722bFM/mhBn4PRdi\nE4Cq5oAm4D5gJ7BMRI4Tkfh4tvFI4Lm4w4AC3wf+HSaHxVnlvq8DPgt8WEQCqjphC9eIyAyAqj7M\nxwr4bAAuFJE9C9BPEETkRBE53vseAGZh9+4TwHIReYW3bcIiIvMqU2aeZ2A6sBrYAiwRkeUT3VMn\nImERSWDVdrNYwahJg2fAhLAFX1fgKZCTxdMzYYQ08GPggiqL5XTgQeC/gfcBPwcm5DySiHxVRN4K\noKoFoBkIq+o3sIHiThFZPp5tPFREZKmIfMv7tSLI3qKqHwd+AjwgIv8yPq07PETkZOC/vM8KeeBr\nWF8/CnxKRCITVKt/D/BPMDTg1QA3YwP9ckzRmoj9AkBE2oEvAi+o2jwH+C4mqP8N+AwwYdzeledM\nRM4QkXNhaEypAdYAfwbmi8jVIiLj19JDo6p/rxGRS2HIgGkCWjB5MEdErhnxXk5YJoSQ9gJVzgNe\nBCz0NqeAq4BvA53APcCEW8bFGyjOA94gIjXe5nOBgIhc6/3epKpPjEsDD58TgHeKyPmqWvbcUutF\n5MXAIm//dpg4Lv2qdv4dcApwSdW2S7B52zcBG4FOVc1PNK1eRC4HzsEGvMrSsoLFSXwfuBUr8Tt7\nfFp46FTdq8uAs4DTKh4DTEH+DubBehx4AIiNeSMPkarn7OPAS0Vkqvf7AszSXA1cAQzN3U4kBbJq\nDHk9cIWIRL1di4C7sPfxVOAiTCmZ8PhyUPS0wDM9Fw2YlvRerL1neQ9VK+ZS/CfgYmywOMXvD5wX\nFDajatNLgN9gL88nvG093vb1mMdgs4h8YEwbeoiISKJK223HrJTvYKVhUdU88DLg08CXgQ/h9dvv\nLn0v8KZBVUteEFUE61cd1ieADkzpeDXwOWCeiPg+ZkJE3igil4nIHG/TAPAFzKq8wuvvJuBa4DJV\n/QhwPya4JwQicoWInMDwImr9mLcjjwlrMLfpzcCLgX8F2jABN2EQkcuApcA04HxvcxF4G6Zk/RJb\nPngeTAy38AgF/kqgEfPo/JO3LY4pJq8DPoi5vV87lm08WvimLKg3sMcw99LpmBbbgL0oIVXdISKv\nAi4FvqSqq0ecP19VD2yttXFCRK7EXIjrgHtU9dteqkccCxb7IXClqq71hEG/d95izCLb20qYvkBE\n/gM4HlgJfBPzbFyiqreKyN3AH1T1857r/snK4CAi71LV73rz0/54IKvw7tG3gFqsT79V1Z96gWFF\nbGBoxxQPVHXQO28qEFPVrePS8APA8958ARNED2KegNeq6jZPMM/E3sEVqnp91XkBrG+ZUS7rKzyl\n+IuYsv8YsFRVXykibaraKSJvBk4CfqSqq0acO1VVd459qw8cEfkY5ll8VFXvEZGl2BLop2AxA9dh\nAY2nqepPvHP+H/CQqt49Ts0+ILx7dw1msDyqqrd5bvo5wCA21flBbNplrqr+1Tvv5UCvqt4/Pi0/\ncvhGSAN4QTbXA+9S1V4R+SIwU1XfUHXMl4DNwM89wR3xrLPKfr8O9M3YXOWHMaH8SeBPwK9UNe0d\n81Fgoaq+3fs9DBSrhNm+lvkcVzyX6N8B/wJ8BOgFflFRpkTkFOB/gRNVdcDbFlPV7Dg1+YDxlKuz\nVPVqEbkAm4t9vapu9PafjlnOz6rqDz0BFvRzQJyIxFU14ykaP1PVC73tX8aCMX+gqh2eO/EC4J3A\nv6rqehEJVffNr8+liIRVteAphZ9Q1Su87Q8CN6jqt73fW4GrsWf2Bm/sGepjxTPkp3HFa1M98HVs\nKfvbMY/U+1X1Xu+Y47D79gQ2Xlbfs93GTT8iFij8VcxgW4l5Aa7ClIuyd9/eC+RU9T+rzvOlDDhU\nxt3dLSKvFZFPe0EOi4AuYIq3+/9h80XPrzrl19icbSUic7cHzU83R6wowutEZBoWWXkekFTVtcBv\nMavz1KpTrgNOF5EXggV8VPfHbwOhiCyR4TSjc4C/quo2bOAYAC6vGuAew6Kef1g5388CWkT+QUTe\n7lnDHUCtJ9juwpaUe2fV4U9gUy+niEiLqpZ9LqA/iC0d+2ZsDHhORCquwe9iz+VcGMqkeAIbJCvb\nduub355LABF5P/BlETkVs6A3iMgSb/cHgH/xlGBUtQsTBLO8Y3fro3c//TSutHntSWPu+WtV9beY\nt+eLleO81QYfxyzqs71zK++jbwV01X0CS6/9pqr+H/BT4DV4bnqgG/g9NgU6FLHup3t1JBg3IS1W\nLewLwFswzf2/sLmhNmywC3sv/39j7kQAPPfFB1T16XFo9gHjDRI/x+Zkvw+cic3NXu0dcif2grV5\nxwdUtRN4k6r+ZcwbfBCISK2IfB57aT4nIp8EfobNeVUGhyex6Yo5Vae+C/ifMW7uQSEi7SJyH6YI\nnoTNmc/C5mPP9A67FnitN+deGfBuway17rFv9YEjIjdgwZdfx4L23oqlMp4qIk2qqphSMuS9UtUO\n4DOeguJrRKRBRH6DpcJtxpSpRszqnCsiNar6AKZofbDq1N8Bn1LV9WPd5gNFRKaIyH8DN3iK1rlY\nHxd63ozrgYKIvKvqtP/DhFkP+FuAicjJIvIz4Fsicg0W7/A7TEaAKfhtmDFXUQ4VyxLx7ZTS4TKe\nlvQU4PnAK1T169jDNh/T5F8PLPaO2wE8BcPBA6q6RXweIAacDLxXVf8ZuA1Ygg2GJ4rIKd788nPY\n/2Do5VHVJ8H3EZcXA3NU9XRM6XgZFiy12pvrApvfXI4pXnjuwwFV/dV4NPggOBu4y5ty+B6maPwJ\nKGFenamqugVLZZlXOUlVt6uqr7MLRGQ2MEVVr/IskzzwDBbBDPAP3udfge7qYB1VzYtIwOfPJdh7\nNlVV36eq12Jz6s9gz+P52DMJFvQ2pOiralFVB8WnGQae1f8JLH/7nzEPXD0WPHUGFhMBNo328sq9\nUtVOVf3syBgen/IBzG3/d5hScS6wFjheRBZ779ffGBbaqOouVf2Vn5Wrw2U8H8hu4AYs5QEs8KHk\nDR4KvNubH/s3bK5oN7eazzXC47HI0Uog28WYG/8h4GHgv715zIuAx0Yb+PzcPyzI6Lfe90VYQ4md\n2AAADr5JREFUUNsOzMJ8t1g083IsqKoG9nSR+g0ZLrRSxDw7YCkrZ2LP6h3ADOCLIvJZrNLdM2Pd\nzsNBVTcDv6nq6zRMUK8BfoF5B36EBZL9aaQb229u39FQ1YeBn4kV8IhjQqyMZVB0Ae8Xke9hKUib\nRjnfd657jxgWNHuDJ5A2Y5bmd7DMlld4x80G7psI96oaEVmEtf1nXqDeYsxA+zP2/n3YOzQGPDgB\nlMUjxpgIabG0o93+lqe5fldVu0VkAWaV3Oft/gYWHbwTuEJVbxyLdh4qMpxyVJnveRoLskmKRcgm\ngDvV8mW/jBVmeQdwu6r+ZKK8TFUvxs+Ayj1pw6LVUdWnsKCqf8DSj76squvGup0Hiog8z3P/glnK\nqOrNqvo1b9vFwDOqmlLVB7Eo079iEd4XqY+jfmUvpVZV9QYvmGoBcI6q/t4TTJuxyO4fYdHPfx27\n1h4aI/tY5Wn7jloBj/OwGgPqWWE/wZ7LB7BIZ9/WHhCRmqpxJayWMfA6b+oBTFg9402R/QLLZ78d\neDNw77g0+iAY6ZXx4nSurlKSIsATqrodm/JERP4X8zzeNFHGzCPBmEZ3i6USHQ/cUR00JBYuL9jg\n/yXgZlW9uWp/EPC9ZigiS1V11YjI0OXAO1T1PWK1qneq6i9GnOfX6Nj9RvGKyA+wgX0FNp/+3bFt\n5cFTif70BvkNWAW0u0bp76exwJQSNvh9Q1WfHZ9WHxjewBeo3CfPq5EeqSyJyEVYcaBfYGmPv1PV\n71ftD3uCzneM0se4VqWCVd3fd2NpOiuxfOiva1XK0cj77RfEIupfDHSp6iOj7BfMkLnM2zRfVVeL\nyOmq+ugYNvWwEZFab5phKCLbCxz7hqq+2Pter6qPiMj0KiXlmOGoWdLVWq6nNb0Vq1K0C4t0ruat\nWL3V7wMPjBTQqlrym4Ae6W4RkfOBj4/y4r8YeL6I/BoLRLqn6pyg93D6SkBXzWdVFI1Xi8jcqkGx\nouE3Ym7tM7Co+4Wem9HXrqiq+f8ilsLx+arfgaH8zJdguc+fw7wevhbQMOSSLonI8SLybSzt7Q2e\n67f6uX0JFlT1ceCr1QLau44vBTTs1sfjROQm4CtStbqTDleluhIL/Psw8J0RAtp3NeNHeAamA9eI\nZRiER1ie87HAzEuAP2JTL/hdQFf6VzV+nAV80hvjy1X9OwnoFJH3YR7VVhgKYDzmOOLrFVcJ1coA\nvwgLkGoA+isviuyeS7oJK+35/1Q1VdlfeRmPdBsPleo2ew/VHCxy9GlM4XlSVYsVQe0dfz4WBPEV\nVb2vch2/9a1CtbUsIsuwij6nA+tE5EeqekfVC9WOpeWciOVnTpg5Ws+rcx2mRL1LRK5W1W9UWZAB\nLAjp31T1e+PZ1oPFe+e+g6Xj/BlTgpcBD1cpu1ngP1X1K1Xn+dKjA7tbvd6z9xrs2fwmFvfwURHZ\noapPef3Ii8hGTOn/etV1Ku+e35T+of6pak4sbfMkrADQSIXpNdg9DWI1JVaOaWMPkpEyASvclMXm\nnQc8havauHk1cCFWhfEyz9V/zHLE3N2juJyWYoNEHJsjuR/T3ler6vUjhEGtDldpCmEBZH57iYbc\nf55VUsJelDOxwJvrsHSHs7w5v0ohhSXVwsvPA2EFsXKs7dh9u0pVbxKRj2ABOD/X4SIe07D5S9+m\n5ngC698xBbBHLKhvq6r2e5bmGszD8ztsnnKw6t7V+nmAGPksidUaqMGU3u+p6gu97V/DFPKPqWrv\nKNfxpdu3wghX6FwswvmfsDna87ztP8SKyVxTPZ1RJdh93UcAEZmHeW76sdKkTZiC/F1Vfa5K+b8M\niKrqTePX2v0zwhCrbPtXTKn/GpbqdzNwnqdUVfdvo/o4ZmAsOWwhLRYp+mks5eh9qvqsiHwY0wJ/\nAKzC5vNOwAKm/hkLENg+4uXzZZUmEXkB8KBaUQdE5CosH3g1FgXbCfwBs1xeBHxSLQhi5HV8O8dX\njSfUrscUqpuwvl8jVjHsrVhZxR/7XdGoRkRuw+Zen8X68HtVvUWsItP3MMvkGqzM5Vv2eiGfMFIh\n9rbFsJKzM7DI+0uxUp6/EpF3YkLtvRVvjneO7yppVRhF6b8QKwHZi7l6n8AEmKrqb0TkaiBS7Rnw\nzvNdPItniPwj5mHcqaqPihXN+Q02bXQ/lnrUii2GUcLy8Ff5qR97Q2xpz3SVEbYAG/fXY32b7/3+\nTeA0zMDZBP58FsebIzUnfRymFb1XrHLRakwLvFctOu8OLCJ2B2a5zIPdb4j6sEqTZz3egrlfEAtE\nEeCF2P/u9WrVit6CVUC7DKhY27vNy/pNQIvIIhG5TqxcKd4cZoOnYKzGyu99CFskPqFWMWw9VknM\n13POFarm+K7Fci93YpHoS8WqNq0BtmFz0h/ABkjf4s1NXgPc7LnrEZGPicjr1AIx/w+bWjkV84K8\nW0RuxKKc1wNv9M4ZEs5+GxRFZK5nFX9fvMh7sUCqt2DlZr+NpS6ehQnqD4kFL74ey2ffDfVZPIuI\n/D1WyGgpFkR7nYhcjKU1rlDVr6qlkVWmyh4BXo5Ny/gyh7sasdTST2BxKoiV0f0l9t4J9gw+ixl2\nb8XqLCT9+Cz6hcO66Z57ooDl/vZjATbvwXKf67Cav2APWFgtRefjahV/JgJ/wTS8V4jVie3CAr+u\nxKqFvVpEXgasV9UvYA/jJeB/jdATxrOAS0XkbOD9DK+r+xXgcsxquQezNgG+paq/9psytTeq5vj+\njAnjS7F72g78nReYshXzFgyq6u/Gq60HQbVCfAWm9L5GrMjKE1i9geO97e8A/qKqV2I5+purvVd+\nQ0ReinlxHsWUplu9XSdhHoLzMY/HnViO+hosbbOsqueqVwjIr4gFWl6KxTm8x7P6/xMzApqAi0WG\n1nh+JdCsVjfiMk94T4T3bhs2tbLc87IuA25Tq5N+jXfMcrX64ldj3sjsSKPGMczhamYVl+daLHiq\nBquCcymmSX1eRH6M3ajvgVmUfrwhYtGTnxaRl8lwTncAc2U/haVR3YRpg92q+npskDgPr444wxWc\nfM0hWJg3gr/r/e4NGS7ccS1mbXViytSZmLv0Wh0R2exH9qIQvw9bmWsqltMNFjfQgAX09QDTxVYg\nW4qltfhSQHucDvxUVb+ploM+KCJnYvWnY8CrVPVFmOJ8KaY034KtvT4Rlsx8FaZQPOp5B1DVX2P3\nMIK3AI+I/BL4e6y6FqPFEfgFsfUJbheRl4tInVrt/j9iitXzMJf+NG/6ohPra6Vm+hZV/ZyqJn3+\nXI4rhxXdXfWPjQD/gbmBP6WqvxWR72MDR05V3wH+jaz0mIu5eN+A1TX+Oia4zsDqir9WLGUggkUD\nvx7T+L/sBRstxSrjrBiPxh8M1RamiLyOYQvzSszCDGIW5hovcGoiWJij4imFU71YiceBC1T1RyKy\nYuS8rs+pVoh3MawQvwITbtvF1hxfgwWIrQPwlORfqM9r3XusB77hBfddiEUBd2NC+YOYa/vnWN+v\n8YL/FFOkB8apzQfD08AZ3rRSf1Vg4n3Aa1T1rWIFO871hPdEII95Tm/Eqtn9BauxfSamGG7GUm6/\nKSKDmJfH97UU/MQRie4WW5P2FiwS+BlvWwzT8P8XWyPZ1xamJ5heD7wJs0S+hWmEl2KD4lQsOO5j\nWNDDraq6ovr8CRZMVYlgXowVkXkt5gauLKL+IbVSnxMaEZmFLXdXxuo4X62qj49vqw4db07za8Bd\nwC89hfinmML4N1W9xzvOdwFTB4KIvASztoqq+ntv26PYPHQSWOJ3t/be8AKo3oXF6txStf1T2L2b\nkMqwN6d+JTYNcTkWfzQb2IhFbz/kbU+o6jfHq50TlSOVJ92KzV8OynCqQ1FVt4rIZzAXo69Ry9W7\nG8vda8UCwH6KzcnejaWSLcEi0D8Nu1c+mkgCGiaVhblPvGfww9jCGTeqj5fHPEB+hxUh+Y8qxff9\nWlWiVCZAutE+uBtoV2/BBBH5EDbdlFHLsKgsQDPh+qi2FvdqLBizBbOs3495Bn40nm07TB7CWz5Y\nVa/wPCEfwQyeVkwp+eG+LuDYO0cyT/rHWC5qh/e7bwNU9oYndC9huALaezCr+euq+tkRx04oy3kk\nk83CPFYQK6DzZSxWYJvup2zrRMPLNvgP7Jlsx1L+PqO28tikwAs2PQur1nezqv54nJt02IjIGdiU\nxFdV9SFv2ylYWtzD49q4Cc6Y1u6eCIhIPVb8IqOq/+m5356ouH4nw0BYQSwnerJYmMcMIxXiyYYX\nBX06VqHwYW/bpHnvKkxEQ2ZveIFwVwGnq+obx7s9k4kjKqQny4skVrnpMuDTOlwJbVL0zeGYSFRP\nKY13Wxz7xotvOQ341WRRPvyAs6RHYaRAnkwar2NycCwoje69czickN4nx8JA6HA4HA7/4oS0w+Fw\nOBw+xfe1YB0Oh8PhOFZxQtrhcDgcDp/ihLTD4XA4HD7FCWmHw+FwOHzKkSoL6nA4fIiIzMMW3Vjl\nbarBSmteva/a7CJyl6pesLf9DodjbHBC2uGY/GxV1VMqv4jINcBNDK8fPhrnH/VWORyO/eKEtMNx\n7PFJoFNETgLeiy0p2AYo8GrgCwAi8oCqni0il2D1tCPABuAfVbVnXFrucBxjuDlph+MYQ1XzwLPA\nK7Ea9ecAizBX+EtV9b3ecWeLSCvwOeAiVT0VW47w8+PTcofj2MNZ0g7HsUkZ+BuwQUSuwpZhXQzU\njTjuLGAO8BcRAQgB3WPYTofjmMYJaYfjGMNbsUiAhcBnsCVLfwC0AIERh4eA+1T1cu/cOFA/dq11\nOI5tnLvb4TiGEJEgNr/8ACakb1TVG4BOLJAs5B1aFJEQ8BBwtrfCEcDH8OasHQ7H0cdZ0g7H5Gem\niDzmfQ9hbu43AO3Az0Xk1UAH8Ftgvnfcb4HHsXWd3w7c6AntzcCbxrDtDscxjVtgw+FwOBwOn+Lc\n3Q6Hw+Fw+BQnpB0Oh8Ph8ClOSDscDofD4VOckHY4HA6Hw6c4Ie1wOBwOh09xQtrhcDgcDp/ihLTD\n4XA4HD7FCWmHw+FwOHzK/wfVLVBLEq58IwAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x101098f90>"
]
}
],
"prompt_number": 4
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Total Deaths "
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df['total deaths'] = df[death_titles].sum(axis =1)\n",
"df.plot(y='total deaths', \n",
" title='Total Deaths in \\n 2014 Ebola Outbreak')\n",
"ylabel('Total Deaths')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 5,
"text": [
"<matplotlib.text.Text at 0x1010ccb10>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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nAXDbZROYNqZ3iCMyR6o5j4sdCDyD83jYk4D5InKVqm4NcmzGGGNC4J3PtjL7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\nTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x1010e7850>"
]
}
],
"prompt_number": 5
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Exponential Fit"
]
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"Plot Log(deaths) and exponential fit"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df['log total deaths'] = log10(df['total deaths'].values)\n",
"sn.lmplot('Day','log total deaths', df)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 6,
"text": [
"<seaborn.axisgrid.FacetGrid at 0x1020bc9d0>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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HzDKAfLyliAeP8ZwvgbOA7UCZv+OJiNTJluN9QkOFcAjAzK4Dkp1z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\nx3TsYqxUAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x1020bc750>"
]
}
],
"prompt_number": 6
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"Fit statistics"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import statsmodels.formula.api as sm\n",
"\n",
"ols = sm.OLS(df['Day'].values, df['log total deaths'].values)\n",
"ols.fit().summary()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<table class=\"simpletable\">\n",
"<caption>OLS Regression Results</caption>\n",
"<tr>\n",
" <th>Dep. Variable:</th> <td>y</td> <th> R-squared: </th> <td> 0.891</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Model:</th> <td>OLS</td> <th> Adj. R-squared: </th> <td> 0.890</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Method:</th> <td>Least Squares</td> <th> F-statistic: </th> <td> 847.8</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Date:</th> <td>Thu, 04 Dec 2014</td> <th> Prob (F-statistic):</th> <td>8.28e-52</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Time:</th> <td>21:13:44</td> <th> Log-Likelihood: </th> <td> -556.43</td>\n",
"</tr>\n",
"<tr>\n",
" <th>No. Observations:</th> <td> 105</td> <th> AIC: </th> <td> 1115.</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Df Residuals:</th> <td> 104</td> <th> BIC: </th> <td> 1118.</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Df Model:</th> <td> 1</td> <th> </th> <td> </td> \n",
"</tr>\n",
"<tr>\n",
" <th>Covariance Type:</th> <td>nonrobust</td> <th> </th> <td> </td> \n",
"</tr>\n",
"</table>\n",
"<table class=\"simpletable\">\n",
"<tr>\n",
" <td></td> <th>coef</th> <th>std err</th> <th>t</th> <th>P>|t|</th> <th>[95.0% Conf. Int.]</th> \n",
"</tr>\n",
"<tr>\n",
" <th>x1</th> <td> 46.7305</td> <td> 1.605</td> <td> 29.117</td> <td> 0.000</td> <td> 43.548 49.913</td>\n",
"</tr>\n",
"</table>\n",
"<table class=\"simpletable\">\n",
"<tr>\n",
" <th>Omnibus:</th> <td>48.567</td> <th> Durbin-Watson: </th> <td> 0.003</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Prob(Omnibus):</th> <td> 0.000</td> <th> Jarque-Bera (JB): </th> <td> 7.002</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Skew:</th> <td>-0.053</td> <th> Prob(JB): </th> <td> 0.0302</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Kurtosis:</th> <td> 1.739</td> <th> Cond. No. </th> <td> 1.00</td>\n",
"</tr>\n",
"</table>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 7,
"text": [
"<class 'statsmodels.iolib.summary.Summary'>\n",
"\"\"\"\n",
" OLS Regression Results \n",
"==============================================================================\n",
"Dep. Variable: y R-squared: 0.891\n",
"Model: OLS Adj. R-squared: 0.890\n",
"Method: Least Squares F-statistic: 847.8\n",
"Date: Thu, 04 Dec 2014 Prob (F-statistic): 8.28e-52\n",
"Time: 21:13:44 Log-Likelihood: -556.43\n",
"No. Observations: 105 AIC: 1115.\n",
"Df Residuals: 104 BIC: 1118.\n",
"Df Model: 1 \n",
"Covariance Type: nonrobust \n",
"==============================================================================\n",
" coef std err t P>|t| [95.0% Conf. Int.]\n",
"------------------------------------------------------------------------------\n",
"x1 46.7305 1.605 29.117 0.000 43.548 49.913\n",
"==============================================================================\n",
"Omnibus: 48.567 Durbin-Watson: 0.003\n",
"Prob(Omnibus): 0.000 Jarque-Bera (JB): 7.002\n",
"Skew: -0.053 Prob(JB): 0.0302\n",
"Kurtosis: 1.739 Cond. No. 1.00\n",
"==============================================================================\n",
"\n",
"Warnings:\n",
"[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
"\"\"\""
]
}
],
"prompt_number": 7
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df.ix[-1]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 8,
"text": [
"Day 246.000000\n",
"Cases_Guinea 2134.000000\n",
"Cases_Liberia 7168.000000\n",
"Cases_SierraLeone 6599.000000\n",
"Cases_Nigeria 20.000000\n",
"Cases_Senegal 1.000000\n",
"Cases_UnitedStates 4.000000\n",
"Cases_Spain 1.000000\n",
"Cases_Mali 7.000000\n",
"Deaths_Guinea 1260.000000\n",
"Deaths_Liberia 3016.000000\n",
"Deaths_SierraLeone 1398.000000\n",
"Deaths_Nigeria 8.000000\n",
"Deaths_Senegal 0.000000\n",
"Deaths_UnitedStates 1.000000\n",
"Deaths_Spain 0.000000\n",
"Deaths_Mali 6.000000\n",
"total deaths 5689.000000\n",
"log total deaths 3.755036\n",
"Name: 2014-11-23 00:00:00, dtype: float64"
]
}
],
"prompt_number": 8
}
],
"metadata": {}
}
]
}
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