Added population proportions
[makeover-monday.git] / 20180416 / 20180416.ipynb
index 9dd222d13c73b902a011efefa23af6a0f97c113b..f38d4036035c0c9181d40228e5172f18619172f2 100644 (file)
@@ -4,16 +4,16 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Makeover Monday, 9 April 2018\n",
+    "# Makeover Monday, 16 April 2018\n",
     "\n",
-    "Analysis and visualisation of Arctic sea ice extent for [Makeover Monday](http://www.makeovermonday.co.uk).\n",
+    "Analysis and visualisation of (simulated) malaria cases for [Makeover Monday](http://www.makeovermonday.co.uk).\n",
     "\n",
-    "Data from [US National Snow & Ice data centre](https://nsidc.org/) via [Makeover Monday](http://www.makeovermonday.co.uk/data/)."
+    "Data from [VisualizeNoMalaria](https://data.world/makeovermonday/2018w16-zambia-southern-province-confirmed-malaria-cases) via [Makeover Monday](http://www.makeovermonday.co.uk/data/)."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -39,7 +39,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
        "4          Health Facility      0  "
       ]
      },
-     "execution_count": 4,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
        "Name: country, dtype: int64"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
        "Name: province, dtype: int64"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
        "Monze          400\n",
-       "Choma          400\n",
        "Kalomo         400\n",
-       "Mazabuka       400\n",
        "Kazungula      400\n",
-       "Chikankata     200\n",
+       "Mazabuka       400\n",
+       "Choma          400\n",
        "Pemba          200\n",
-       "Sinazongwe     200\n",
-       "Zimba          200\n",
-       "Namwala        200\n",
+       "Chikankata     200\n",
        "Gwembe         200\n",
        "Siavonga       200\n",
+       "Namwala        200\n",
+       "Zimba          200\n",
+       "Sinazongwe     200\n",
        "Livingstone    186\n",
        "Name: district, dtype: int64"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
        "Name: ruralurban, dtype: int64"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
        "Name: report, dtype: int64"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
        "dtype: int64"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7fad673c6828>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff983268588>"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     },
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7fad650d4780>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff981157438>"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     },
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7fad6512e518>"
+       "<matplotlib.legend.Legend at 0x7ff9810d8128>"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     },
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
        "Sinazongwe   158874"
       ]
      },
-     "execution_count": 64,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7fad64e65748>"
+       "<matplotlib.legend.Legend at 0x7ff981089d68>"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     },
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
        "4          Health Facility      0  "
       ]
      },
-     "execution_count": 43,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
        "28          Health Facility      0  "
       ]
      },
-     "execution_count": 71,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
        "3190          Health Facility      0  "
       ]
      },
-     "execution_count": 65,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
        "4          Health Facility      0  "
       ]
      },
-     "execution_count": 66,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7fad5ea092e8>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff981149978>"
       ]
      },
-     "execution_count": 67,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     },
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7fad5e9ff048>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff9831ff940>"
       ]
      },
-     "execution_count": 68,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     },
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
   },
   {
    "cell_type": "code",
-   "execution_count": 155,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
        "2014-05-01 00:00:00        8058    773  "
       ]
      },
-     "execution_count": 155,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
   },
   {
    "cell_type": "code",
-   "execution_count": 156,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
   },
   {
    "cell_type": "code",
-   "execution_count": 186,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
        "2014-05-01        8058    2900      1318   13497"
       ]
      },
-     "execution_count": 186,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
   },
   {
    "cell_type": "code",
-   "execution_count": 187,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
   },
   {
    "cell_type": "code",
-   "execution_count": 189,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [],
    "source": [
   },
   {
    "cell_type": "code",
-   "execution_count": 188,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [
     {
   },
   {
    "cell_type": "code",
-   "execution_count": 122,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
        "2018        161       57    159       731        9569    328  "
       ]
      },
-     "execution_count": 122,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
   },
   {
    "cell_type": "code",
-   "execution_count": 83,
+   "execution_count": 33,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead tr th {\n",
-       "        text-align: left;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead tr:last-of-type th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th colspan=\"13\" halign=\"left\">cases</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>district</th>\n",
-       "      <th>Chikankata</th>\n",
-       "      <th>Choma</th>\n",
-       "      <th>Gwembe</th>\n",
-       "      <th>Kalomo</th>\n",
-       "      <th>Kazungula</th>\n",
-       "      <th>Livingstone</th>\n",
-       "      <th>Mazabuka</th>\n",
-       "      <th>Monze</th>\n",
-       "      <th>Namwala</th>\n",
-       "      <th>Pemba</th>\n",
-       "      <th>Siavonga</th>\n",
-       "      <th>Sinazongwe</th>\n",
-       "      <th>Zimba</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>date</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2014</th>\n",
-       "      <td>5852</td>\n",
-       "      <td>21810</td>\n",
-       "      <td>29523</td>\n",
-       "      <td>14410</td>\n",
-       "      <td>8093</td>\n",
-       "      <td>1752</td>\n",
-       "      <td>2919</td>\n",
-       "      <td>4152</td>\n",
-       "      <td>1073</td>\n",
-       "      <td>24984</td>\n",
-       "      <td>15995</td>\n",
-       "      <td>70664</td>\n",
-       "      <td>8326</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2015</th>\n",
-       "      <td>2717</td>\n",
-       "      <td>4030</td>\n",
-       "      <td>15349</td>\n",
-       "      <td>4005</td>\n",
-       "      <td>3623</td>\n",
-       "      <td>837</td>\n",
-       "      <td>1297</td>\n",
-       "      <td>1539</td>\n",
-       "      <td>695</td>\n",
-       "      <td>6925</td>\n",
-       "      <td>6295</td>\n",
-       "      <td>43057</td>\n",
-       "      <td>3930</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016</th>\n",
-       "      <td>2178</td>\n",
-       "      <td>3940</td>\n",
-       "      <td>4963</td>\n",
-       "      <td>9690</td>\n",
-       "      <td>13009</td>\n",
-       "      <td>1255</td>\n",
-       "      <td>2328</td>\n",
-       "      <td>1939</td>\n",
-       "      <td>2801</td>\n",
-       "      <td>2019</td>\n",
-       "      <td>7087</td>\n",
-       "      <td>16823</td>\n",
-       "      <td>1306</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017</th>\n",
-       "      <td>2073</td>\n",
-       "      <td>2396</td>\n",
-       "      <td>9899</td>\n",
-       "      <td>6983</td>\n",
-       "      <td>8627</td>\n",
-       "      <td>845</td>\n",
-       "      <td>1322</td>\n",
-       "      <td>1452</td>\n",
-       "      <td>1813</td>\n",
-       "      <td>994</td>\n",
-       "      <td>10595</td>\n",
-       "      <td>18761</td>\n",
-       "      <td>1094</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2018</th>\n",
-       "      <td>1097</td>\n",
-       "      <td>221</td>\n",
-       "      <td>4325</td>\n",
-       "      <td>441</td>\n",
-       "      <td>379</td>\n",
-       "      <td>101</td>\n",
-       "      <td>202</td>\n",
-       "      <td>161</td>\n",
-       "      <td>57</td>\n",
-       "      <td>159</td>\n",
-       "      <td>731</td>\n",
-       "      <td>9569</td>\n",
-       "      <td>328</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "              cases                                                            \\\n",
-       "district Chikankata  Choma Gwembe Kalomo Kazungula Livingstone Mazabuka Monze   \n",
-       "date                                                                            \n",
-       "2014           5852  21810  29523  14410      8093        1752     2919  4152   \n",
-       "2015           2717   4030  15349   4005      3623         837     1297  1539   \n",
-       "2016           2178   3940   4963   9690     13009        1255     2328  1939   \n",
-       "2017           2073   2396   9899   6983      8627         845     1322  1452   \n",
-       "2018           1097    221   4325    441       379         101      202   161   \n",
-       "\n",
-       "                                                   \n",
-       "district Namwala  Pemba Siavonga Sinazongwe Zimba  \n",
-       "date                                               \n",
-       "2014        1073  24984    15995      70664  8326  \n",
-       "2015         695   6925     6295      43057  3930  \n",
-       "2016        2801   2019     7087      16823  1306  \n",
-       "2017        1813    994    10595      18761  1094  \n",
-       "2018          57    159      731       9569   328  "
-      ]
-     },
-     "execution_count": 83,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# district_year = malaria_raw.groupby([malaria_raw.date.dt.year, 'district']).sum().unstack()\n",
     "# district_year"
   },
   {
    "cell_type": "code",
-   "execution_count": 123,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [
     {
   },
   {
    "cell_type": "code",
-   "execution_count": 139,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
     {
   },
   {
    "cell_type": "code",
-   "execution_count": 151,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [
     {
   },
   {
    "cell_type": "code",
-   "execution_count": 126,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [
     {
   },
   {
    "cell_type": "code",
-   "execution_count": 165,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [
     {
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>others</th>\n",
-       "      <th>siavonga</th>\n",
-       "      <th>gwembe</th>\n",
-       "      <th>sinazongwe</th>\n",
+       "      <th>Others</th>\n",
+       "      <th>Siavonga</th>\n",
+       "      <th>Gwembe</th>\n",
+       "      <th>Sinazongwe</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>date</th>\n",
        "</div>"
       ],
       "text/plain": [
-       "      others  siavonga  gwembe  sinazongwe\n",
+       "      Others  Siavonga  Gwembe  Sinazongwe\n",
        "date                                      \n",
        "2014   93371     15995   29523       70664\n",
        "2015   29598      6295   15349       43057\n",
        "2018    3146       731    4325        9569"
       ]
      },
-     "execution_count": 165,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "d2_year = pd.DataFrame()\n",
-    "d2_year['others'] = district_year.drop(['Sinazongwe', 'Gwembe', 'Siavonga'], axis=1).sum(axis=1)\n",
-    "d2_year['siavonga'] = district_year['Siavonga']\n",
-    "d2_year['gwembe'] = district_year['Gwembe']\n",
-    "d2_year['sinazongwe'] = district_year['Sinazongwe']\n",
+    "d2_year['Others'] = district_year.drop(['Sinazongwe', 'Gwembe', 'Siavonga'], axis=1).sum(axis=1)\n",
+    "d2_year['Siavonga'] = district_year['Siavonga']\n",
+    "d2_year['Gwembe'] = district_year['Gwembe']\n",
+    "d2_year['Sinazongwe'] = district_year['Sinazongwe']\n",
     "d2_year"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 166,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7fad5dd73c50>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff97afccb00>"
       ]
      },
-     "execution_count": 166,
+     "execution_count": 39,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
   },
   {
    "cell_type": "code",
-   "execution_count": 167,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7fad5e0c45c0>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff97af404a8>"
       ]
      },
-     "execution_count": 167,
+     "execution_count": 40,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
     "d2_year.plot.area(xticks=[x for x in range(2014, 2019)])"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Cyclic changes\n",
+    "What if we plot how cases each month change over the five years?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>country</th>\n",
+       "      <th>province</th>\n",
+       "      <th>district</th>\n",
+       "      <th>ruralurban</th>\n",
+       "      <th>date</th>\n",
+       "      <th>report</th>\n",
+       "      <th>cases</th>\n",
+       "      <th>month</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Zambia</td>\n",
+       "      <td>Southern</td>\n",
+       "      <td>Chikankata</td>\n",
+       "      <td>Rural</td>\n",
+       "      <td>2014-01-01</td>\n",
+       "      <td>Health Facility</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Zambia</td>\n",
+       "      <td>Southern</td>\n",
+       "      <td>Chikankata</td>\n",
+       "      <td>Rural</td>\n",
+       "      <td>2014-01-01</td>\n",
+       "      <td>Community Health Worker</td>\n",
+       "      <td>288</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Zambia</td>\n",
+       "      <td>Southern</td>\n",
+       "      <td>Chikankata</td>\n",
+       "      <td>Rural</td>\n",
+       "      <td>2014-02-01</td>\n",
+       "      <td>Health Facility</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Zambia</td>\n",
+       "      <td>Southern</td>\n",
+       "      <td>Chikankata</td>\n",
+       "      <td>Rural</td>\n",
+       "      <td>2014-02-01</td>\n",
+       "      <td>Community Health Worker</td>\n",
+       "      <td>251</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Zambia</td>\n",
+       "      <td>Southern</td>\n",
+       "      <td>Chikankata</td>\n",
+       "      <td>Rural</td>\n",
+       "      <td>2014-03-01</td>\n",
+       "      <td>Health Facility</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  country  province    district ruralurban       date  \\\n",
+       "0  Zambia  Southern  Chikankata      Rural 2014-01-01   \n",
+       "1  Zambia  Southern  Chikankata      Rural 2014-01-01   \n",
+       "2  Zambia  Southern  Chikankata      Rural 2014-02-01   \n",
+       "3  Zambia  Southern  Chikankata      Rural 2014-02-01   \n",
+       "4  Zambia  Southern  Chikankata      Rural 2014-03-01   \n",
+       "\n",
+       "                    report  cases  month  \n",
+       "0          Health Facility      0      1  \n",
+       "1  Community Health Worker    288      1  \n",
+       "2          Health Facility      0      2  \n",
+       "3  Community Health Worker    251      2  \n",
+       "4          Health Facility      0      3  "
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "malaria_raw['month'] = malaria_raw['date'].dt.month\n",
+    "malaria_raw.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>district</th>\n",
+       "      <th>Chikankata</th>\n",
+       "      <th>Choma</th>\n",
+       "      <th>Gwembe</th>\n",
+       "      <th>Kalomo</th>\n",
+       "      <th>Kazungula</th>\n",
+       "      <th>Livingstone</th>\n",
+       "      <th>Mazabuka</th>\n",
+       "      <th>Monze</th>\n",
+       "      <th>Namwala</th>\n",
+       "      <th>Pemba</th>\n",
+       "      <th>Siavonga</th>\n",
+       "      <th>Sinazongwe</th>\n",
+       "      <th>Zimba</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>month</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2556</td>\n",
+       "      <td>2766</td>\n",
+       "      <td>6381</td>\n",
+       "      <td>2633</td>\n",
+       "      <td>2618</td>\n",
+       "      <td>509</td>\n",
+       "      <td>1074</td>\n",
+       "      <td>1274</td>\n",
+       "      <td>765</td>\n",
+       "      <td>5064</td>\n",
+       "      <td>2074</td>\n",
+       "      <td>16561</td>\n",
+       "      <td>1640</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1903</td>\n",
+       "      <td>3516</td>\n",
+       "      <td>4958</td>\n",
+       "      <td>3480</td>\n",
+       "      <td>4200</td>\n",
+       "      <td>466</td>\n",
+       "      <td>784</td>\n",
+       "      <td>888</td>\n",
+       "      <td>585</td>\n",
+       "      <td>5972</td>\n",
+       "      <td>1998</td>\n",
+       "      <td>11983</td>\n",
+       "      <td>2202</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2051</td>\n",
+       "      <td>7604</td>\n",
+       "      <td>7330</td>\n",
+       "      <td>5937</td>\n",
+       "      <td>6528</td>\n",
+       "      <td>614</td>\n",
+       "      <td>1070</td>\n",
+       "      <td>1215</td>\n",
+       "      <td>1091</td>\n",
+       "      <td>6593</td>\n",
+       "      <td>4837</td>\n",
+       "      <td>18379</td>\n",
+       "      <td>3508</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2267</td>\n",
+       "      <td>6994</td>\n",
+       "      <td>8352</td>\n",
+       "      <td>9419</td>\n",
+       "      <td>8215</td>\n",
+       "      <td>799</td>\n",
+       "      <td>1546</td>\n",
+       "      <td>1676</td>\n",
+       "      <td>1194</td>\n",
+       "      <td>5423</td>\n",
+       "      <td>5955</td>\n",
+       "      <td>20070</td>\n",
+       "      <td>3447</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>1738</td>\n",
+       "      <td>5294</td>\n",
+       "      <td>8341</td>\n",
+       "      <td>6923</td>\n",
+       "      <td>7708</td>\n",
+       "      <td>1081</td>\n",
+       "      <td>1571</td>\n",
+       "      <td>1825</td>\n",
+       "      <td>1668</td>\n",
+       "      <td>5247</td>\n",
+       "      <td>7246</td>\n",
+       "      <td>21220</td>\n",
+       "      <td>1739</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>599</td>\n",
+       "      <td>2209</td>\n",
+       "      <td>5534</td>\n",
+       "      <td>2835</td>\n",
+       "      <td>2215</td>\n",
+       "      <td>393</td>\n",
+       "      <td>587</td>\n",
+       "      <td>817</td>\n",
+       "      <td>472</td>\n",
+       "      <td>2686</td>\n",
+       "      <td>4542</td>\n",
+       "      <td>17599</td>\n",
+       "      <td>652</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>378</td>\n",
+       "      <td>769</td>\n",
+       "      <td>7538</td>\n",
+       "      <td>1193</td>\n",
+       "      <td>645</td>\n",
+       "      <td>140</td>\n",
+       "      <td>255</td>\n",
+       "      <td>353</td>\n",
+       "      <td>161</td>\n",
+       "      <td>1083</td>\n",
+       "      <td>3694</td>\n",
+       "      <td>9924</td>\n",
+       "      <td>243</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>260</td>\n",
+       "      <td>422</td>\n",
+       "      <td>4998</td>\n",
+       "      <td>605</td>\n",
+       "      <td>260</td>\n",
+       "      <td>137</td>\n",
+       "      <td>223</td>\n",
+       "      <td>266</td>\n",
+       "      <td>73</td>\n",
+       "      <td>553</td>\n",
+       "      <td>3995</td>\n",
+       "      <td>8765</td>\n",
+       "      <td>179</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>391</td>\n",
+       "      <td>489</td>\n",
+       "      <td>4205</td>\n",
+       "      <td>439</td>\n",
+       "      <td>156</td>\n",
+       "      <td>124</td>\n",
+       "      <td>210</td>\n",
+       "      <td>234</td>\n",
+       "      <td>57</td>\n",
+       "      <td>458</td>\n",
+       "      <td>3045</td>\n",
+       "      <td>12220</td>\n",
+       "      <td>158</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>515</td>\n",
+       "      <td>731</td>\n",
+       "      <td>2716</td>\n",
+       "      <td>472</td>\n",
+       "      <td>208</td>\n",
+       "      <td>95</td>\n",
+       "      <td>163</td>\n",
+       "      <td>236</td>\n",
+       "      <td>49</td>\n",
+       "      <td>470</td>\n",
+       "      <td>1667</td>\n",
+       "      <td>10442</td>\n",
+       "      <td>285</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>398</td>\n",
+       "      <td>661</td>\n",
+       "      <td>1731</td>\n",
+       "      <td>540</td>\n",
+       "      <td>173</td>\n",
+       "      <td>167</td>\n",
+       "      <td>218</td>\n",
+       "      <td>141</td>\n",
+       "      <td>69</td>\n",
+       "      <td>570</td>\n",
+       "      <td>880</td>\n",
+       "      <td>5352</td>\n",
+       "      <td>323</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>861</td>\n",
+       "      <td>942</td>\n",
+       "      <td>1975</td>\n",
+       "      <td>1053</td>\n",
+       "      <td>805</td>\n",
+       "      <td>265</td>\n",
+       "      <td>367</td>\n",
+       "      <td>318</td>\n",
+       "      <td>255</td>\n",
+       "      <td>962</td>\n",
+       "      <td>770</td>\n",
+       "      <td>6359</td>\n",
+       "      <td>608</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "district  Chikankata  Choma  Gwembe  Kalomo  Kazungula  Livingstone  Mazabuka  \\\n",
+       "month                                                                           \n",
+       "1               2556   2766    6381    2633       2618          509      1074   \n",
+       "2               1903   3516    4958    3480       4200          466       784   \n",
+       "3               2051   7604    7330    5937       6528          614      1070   \n",
+       "4               2267   6994    8352    9419       8215          799      1546   \n",
+       "5               1738   5294    8341    6923       7708         1081      1571   \n",
+       "6                599   2209    5534    2835       2215          393       587   \n",
+       "7                378    769    7538    1193        645          140       255   \n",
+       "8                260    422    4998     605        260          137       223   \n",
+       "9                391    489    4205     439        156          124       210   \n",
+       "10               515    731    2716     472        208           95       163   \n",
+       "11               398    661    1731     540        173          167       218   \n",
+       "12               861    942    1975    1053        805          265       367   \n",
+       "\n",
+       "district  Monze  Namwala  Pemba  Siavonga  Sinazongwe  Zimba  \n",
+       "month                                                         \n",
+       "1          1274      765   5064      2074       16561   1640  \n",
+       "2           888      585   5972      1998       11983   2202  \n",
+       "3          1215     1091   6593      4837       18379   3508  \n",
+       "4          1676     1194   5423      5955       20070   3447  \n",
+       "5          1825     1668   5247      7246       21220   1739  \n",
+       "6           817      472   2686      4542       17599    652  \n",
+       "7           353      161   1083      3694        9924    243  \n",
+       "8           266       73    553      3995        8765    179  \n",
+       "9           234       57    458      3045       12220    158  \n",
+       "10          236       49    470      1667       10442    285  \n",
+       "11          141       69    570       880        5352    323  \n",
+       "12          318      255    962       770        6359    608  "
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "malaria_month_year = pd.pivot_table(malaria_raw,index='month',columns='district',values='cases', aggfunc=np.sum)\n",
+    "malaria_month_year"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff983347ef0>"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "malaria_month_year.plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Normalise the data, so that scores are fraction of that district's cases in each month."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>district</th>\n",
+       "      <th>Chikankata</th>\n",
+       "      <th>Choma</th>\n",
+       "      <th>Gwembe</th>\n",
+       "      <th>Kalomo</th>\n",
+       "      <th>Kazungula</th>\n",
+       "      <th>Livingstone</th>\n",
+       "      <th>Mazabuka</th>\n",
+       "      <th>Monze</th>\n",
+       "      <th>Namwala</th>\n",
+       "      <th>Pemba</th>\n",
+       "      <th>Siavonga</th>\n",
+       "      <th>Sinazongwe</th>\n",
+       "      <th>Zimba</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>month</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.183660</td>\n",
+       "      <td>0.085378</td>\n",
+       "      <td>0.099611</td>\n",
+       "      <td>0.074108</td>\n",
+       "      <td>0.077614</td>\n",
+       "      <td>0.106263</td>\n",
+       "      <td>0.133118</td>\n",
+       "      <td>0.137834</td>\n",
+       "      <td>0.118807</td>\n",
+       "      <td>0.144352</td>\n",
+       "      <td>0.050954</td>\n",
+       "      <td>0.104240</td>\n",
+       "      <td>0.109450</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.136739</td>\n",
+       "      <td>0.108529</td>\n",
+       "      <td>0.077397</td>\n",
+       "      <td>0.097948</td>\n",
+       "      <td>0.124515</td>\n",
+       "      <td>0.097286</td>\n",
+       "      <td>0.097174</td>\n",
+       "      <td>0.096073</td>\n",
+       "      <td>0.090853</td>\n",
+       "      <td>0.170235</td>\n",
+       "      <td>0.049087</td>\n",
+       "      <td>0.075425</td>\n",
+       "      <td>0.146957</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.147374</td>\n",
+       "      <td>0.234713</td>\n",
+       "      <td>0.114426</td>\n",
+       "      <td>0.167103</td>\n",
+       "      <td>0.193531</td>\n",
+       "      <td>0.128184</td>\n",
+       "      <td>0.132623</td>\n",
+       "      <td>0.131451</td>\n",
+       "      <td>0.169436</td>\n",
+       "      <td>0.187936</td>\n",
+       "      <td>0.118836</td>\n",
+       "      <td>0.115683</td>\n",
+       "      <td>0.234116</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.162894</td>\n",
+       "      <td>0.215884</td>\n",
+       "      <td>0.130380</td>\n",
+       "      <td>0.265107</td>\n",
+       "      <td>0.243545</td>\n",
+       "      <td>0.166806</td>\n",
+       "      <td>0.191621</td>\n",
+       "      <td>0.181326</td>\n",
+       "      <td>0.185433</td>\n",
+       "      <td>0.154585</td>\n",
+       "      <td>0.146304</td>\n",
+       "      <td>0.126327</td>\n",
+       "      <td>0.230045</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>0.124883</td>\n",
+       "      <td>0.163410</td>\n",
+       "      <td>0.130208</td>\n",
+       "      <td>0.194855</td>\n",
+       "      <td>0.228514</td>\n",
+       "      <td>0.225678</td>\n",
+       "      <td>0.194720</td>\n",
+       "      <td>0.197447</td>\n",
+       "      <td>0.259046</td>\n",
+       "      <td>0.149568</td>\n",
+       "      <td>0.178021</td>\n",
+       "      <td>0.133565</td>\n",
+       "      <td>0.116057</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>0.043041</td>\n",
+       "      <td>0.068185</td>\n",
+       "      <td>0.086389</td>\n",
+       "      <td>0.079794</td>\n",
+       "      <td>0.065667</td>\n",
+       "      <td>0.082046</td>\n",
+       "      <td>0.072757</td>\n",
+       "      <td>0.088391</td>\n",
+       "      <td>0.073303</td>\n",
+       "      <td>0.076566</td>\n",
+       "      <td>0.111589</td>\n",
+       "      <td>0.110773</td>\n",
+       "      <td>0.043513</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>0.027161</td>\n",
+       "      <td>0.023737</td>\n",
+       "      <td>0.117673</td>\n",
+       "      <td>0.033578</td>\n",
+       "      <td>0.019122</td>\n",
+       "      <td>0.029228</td>\n",
+       "      <td>0.031606</td>\n",
+       "      <td>0.038191</td>\n",
+       "      <td>0.025004</td>\n",
+       "      <td>0.030871</td>\n",
+       "      <td>0.090755</td>\n",
+       "      <td>0.062465</td>\n",
+       "      <td>0.016217</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>0.018682</td>\n",
+       "      <td>0.013026</td>\n",
+       "      <td>0.078022</td>\n",
+       "      <td>0.017028</td>\n",
+       "      <td>0.007708</td>\n",
+       "      <td>0.028601</td>\n",
+       "      <td>0.027640</td>\n",
+       "      <td>0.028779</td>\n",
+       "      <td>0.011337</td>\n",
+       "      <td>0.015764</td>\n",
+       "      <td>0.098150</td>\n",
+       "      <td>0.055170</td>\n",
+       "      <td>0.011946</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>0.028095</td>\n",
+       "      <td>0.015094</td>\n",
+       "      <td>0.065643</td>\n",
+       "      <td>0.012356</td>\n",
+       "      <td>0.004625</td>\n",
+       "      <td>0.025887</td>\n",
+       "      <td>0.026029</td>\n",
+       "      <td>0.025316</td>\n",
+       "      <td>0.008852</td>\n",
+       "      <td>0.013056</td>\n",
+       "      <td>0.074810</td>\n",
+       "      <td>0.076916</td>\n",
+       "      <td>0.010545</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>0.037005</td>\n",
+       "      <td>0.022564</td>\n",
+       "      <td>0.042398</td>\n",
+       "      <td>0.013285</td>\n",
+       "      <td>0.006166</td>\n",
+       "      <td>0.019833</td>\n",
+       "      <td>0.020203</td>\n",
+       "      <td>0.025533</td>\n",
+       "      <td>0.007610</td>\n",
+       "      <td>0.013398</td>\n",
+       "      <td>0.040955</td>\n",
+       "      <td>0.065725</td>\n",
+       "      <td>0.019020</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>0.028598</td>\n",
+       "      <td>0.020403</td>\n",
+       "      <td>0.027022</td>\n",
+       "      <td>0.015199</td>\n",
+       "      <td>0.005129</td>\n",
+       "      <td>0.034864</td>\n",
+       "      <td>0.027020</td>\n",
+       "      <td>0.015255</td>\n",
+       "      <td>0.010716</td>\n",
+       "      <td>0.016248</td>\n",
+       "      <td>0.021620</td>\n",
+       "      <td>0.033687</td>\n",
+       "      <td>0.021556</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>0.061867</td>\n",
+       "      <td>0.029077</td>\n",
+       "      <td>0.030831</td>\n",
+       "      <td>0.029638</td>\n",
+       "      <td>0.023865</td>\n",
+       "      <td>0.055324</td>\n",
+       "      <td>0.045488</td>\n",
+       "      <td>0.034404</td>\n",
+       "      <td>0.039602</td>\n",
+       "      <td>0.027422</td>\n",
+       "      <td>0.018918</td>\n",
+       "      <td>0.040025</td>\n",
+       "      <td>0.040577</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "district  Chikankata     Choma    Gwembe    Kalomo  Kazungula  Livingstone  \\\n",
+       "month                                                                        \n",
+       "1           0.183660  0.085378  0.099611  0.074108   0.077614     0.106263   \n",
+       "2           0.136739  0.108529  0.077397  0.097948   0.124515     0.097286   \n",
+       "3           0.147374  0.234713  0.114426  0.167103   0.193531     0.128184   \n",
+       "4           0.162894  0.215884  0.130380  0.265107   0.243545     0.166806   \n",
+       "5           0.124883  0.163410  0.130208  0.194855   0.228514     0.225678   \n",
+       "6           0.043041  0.068185  0.086389  0.079794   0.065667     0.082046   \n",
+       "7           0.027161  0.023737  0.117673  0.033578   0.019122     0.029228   \n",
+       "8           0.018682  0.013026  0.078022  0.017028   0.007708     0.028601   \n",
+       "9           0.028095  0.015094  0.065643  0.012356   0.004625     0.025887   \n",
+       "10          0.037005  0.022564  0.042398  0.013285   0.006166     0.019833   \n",
+       "11          0.028598  0.020403  0.027022  0.015199   0.005129     0.034864   \n",
+       "12          0.061867  0.029077  0.030831  0.029638   0.023865     0.055324   \n",
+       "\n",
+       "district  Mazabuka     Monze   Namwala     Pemba  Siavonga  Sinazongwe  \\\n",
+       "month                                                                    \n",
+       "1         0.133118  0.137834  0.118807  0.144352  0.050954    0.104240   \n",
+       "2         0.097174  0.096073  0.090853  0.170235  0.049087    0.075425   \n",
+       "3         0.132623  0.131451  0.169436  0.187936  0.118836    0.115683   \n",
+       "4         0.191621  0.181326  0.185433  0.154585  0.146304    0.126327   \n",
+       "5         0.194720  0.197447  0.259046  0.149568  0.178021    0.133565   \n",
+       "6         0.072757  0.088391  0.073303  0.076566  0.111589    0.110773   \n",
+       "7         0.031606  0.038191  0.025004  0.030871  0.090755    0.062465   \n",
+       "8         0.027640  0.028779  0.011337  0.015764  0.098150    0.055170   \n",
+       "9         0.026029  0.025316  0.008852  0.013056  0.074810    0.076916   \n",
+       "10        0.020203  0.025533  0.007610  0.013398  0.040955    0.065725   \n",
+       "11        0.027020  0.015255  0.010716  0.016248  0.021620    0.033687   \n",
+       "12        0.045488  0.034404  0.039602  0.027422  0.018918    0.040025   \n",
+       "\n",
+       "district     Zimba  \n",
+       "month               \n",
+       "1         0.109450  \n",
+       "2         0.146957  \n",
+       "3         0.234116  \n",
+       "4         0.230045  \n",
+       "5         0.116057  \n",
+       "6         0.043513  \n",
+       "7         0.016217  \n",
+       "8         0.011946  \n",
+       "9         0.010545  \n",
+       "10        0.019020  \n",
+       "11        0.021556  \n",
+       "12        0.040577  "
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mmy_norm = malaria_month_year / malaria_month_year.sum()\n",
+    "mmy_norm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ax = mmy_norm.plot()\n",
+    "ax.legend(loc='center left', bbox_to_anchor=(1, 0.5));"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "and a very clear seasonal pattern emerges."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Proportions\n",
+    "What can we see if we look at the proportions of reports by different categories?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Rural, urban, and health centre type\n",
+    "First, let's look at the rural/urban split, and the health reporter split (whether a health worker or a health facility)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr:last-of-type th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th>ruralurban</th>\n",
+       "      <th colspan=\"2\" halign=\"left\">Rural</th>\n",
+       "      <th colspan=\"2\" halign=\"left\">Urban</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>report</th>\n",
+       "      <th>Community Health Worker</th>\n",
+       "      <th>Health Facility</th>\n",
+       "      <th>Community Health Worker</th>\n",
+       "      <th>Health Facility</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2014-01-01</th>\n",
+       "      <td>3899</td>\n",
+       "      <td>10595</td>\n",
+       "      <td>163</td>\n",
+       "      <td>489</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2014-02-01</th>\n",
+       "      <td>6711</td>\n",
+       "      <td>12303</td>\n",
+       "      <td>163</td>\n",
+       "      <td>428</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2014-03-01</th>\n",
+       "      <td>9669</td>\n",
+       "      <td>28824</td>\n",
+       "      <td>312</td>\n",
+       "      <td>808</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2014-04-01</th>\n",
+       "      <td>9646</td>\n",
+       "      <td>25533</td>\n",
+       "      <td>415</td>\n",
+       "      <td>910</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2014-05-01</th>\n",
+       "      <td>5913</td>\n",
+       "      <td>18763</td>\n",
+       "      <td>193</td>\n",
+       "      <td>904</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "ruralurban                   Rural                                   Urban  \\\n",
+       "report     Community Health Worker Health Facility Community Health Worker   \n",
+       "date                                                                         \n",
+       "2014-01-01                    3899           10595                     163   \n",
+       "2014-02-01                    6711           12303                     163   \n",
+       "2014-03-01                    9669           28824                     312   \n",
+       "2014-04-01                    9646           25533                     415   \n",
+       "2014-05-01                    5913           18763                     193   \n",
+       "\n",
+       "ruralurban                  \n",
+       "report     Health Facility  \n",
+       "date                        \n",
+       "2014-01-01             489  \n",
+       "2014-02-01             428  \n",
+       "2014-03-01             808  \n",
+       "2014-04-01             910  \n",
+       "2014-05-01             904  "
+      ]
+     },
+     "execution_count": 60,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "report_month = malaria_raw.pivot_table(index='date', columns=['ruralurban', 'report'], values='cases', aggfunc=sum)\n",
+    "report_month.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7ff97af8d0b8>"
+      ]
+     },
+     "execution_count": 73,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ax = report_month.divide(report_month.sum(axis=1), axis=0).plot.area()\n",
+    "ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## District\n",
+    "Another look at districts. Which districts have the largest proportion of cases each month?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7ff980312940>"
+      ]
+     },
+     "execution_count": 72,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ax = district_month_sorted.divide(district_month_sorted.sum(axis=1), axis=0).plot.area()\n",
+    "ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 100,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7ff980336dd8>"
+      ]
+     },
+     "execution_count": 100,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ax = malaria_month_year.divide(malaria_month_year.sum(axis=1), axis=0).plot.area()\n",
+    "ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Count the numbers in each category pair."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 105,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "ruralurban\n",
+       "Rural    0.963603\n",
+       "Urban    0.036397\n",
+       "Name: cases, dtype: float64"
+      ]
+     },
+     "execution_count": 105,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "malaria_raw.groupby('ruralurban').cases.sum() / malaria_raw.groupby('ruralurban').cases.sum().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 106,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "report\n",
+       "Community Health Worker    0.438267\n",
+       "Health Facility            0.561733\n",
+       "Name: cases, dtype: float64"
+      ]
+     },
+     "execution_count": 106,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "malaria_raw.groupby('report').cases.sum() / malaria_raw.groupby('report').cases.sum().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 107,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "district\n",
+       "Chikankata     0.030399\n",
+       "Choma          0.070764\n",
+       "Gwembe         0.139923\n",
+       "Kalomo         0.077606\n",
+       "Kazungula      0.073678\n",
+       "Livingstone    0.010463\n",
+       "Mazabuka       0.017623\n",
+       "Monze          0.020189\n",
+       "Namwala        0.014065\n",
+       "Pemba          0.076627\n",
+       "Siavonga       0.088907\n",
+       "Sinazongwe     0.347027\n",
+       "Zimba          0.032729\n",
+       "Name: cases, dtype: float64"
+      ]
+     },
+     "execution_count": 107,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "malaria_raw.groupby('district').cases.sum() / malaria_raw.groupby('district').cases.sum().sum()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "While these are interesting graphs, they don't tell us much on their own. In particular, what is the base population in each of these categories? For instance, that only 4% of cases are urban could just be a reflection that 4% of the population is urban. Similarly, if Sinazongwe has 34% of the population, that would neatly explain the 34% of cases."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,