Lesson 5 - Investigate and transform messy data into appropriate charts for presentation.ipynb

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    "# _Lesson 5_: Investigate and transform messy data into appropriate charts for presentation\n",
    "\n",
    "<div class=\"alert alert-block alert-warning\">\n",
    "    <b>Learning outcomes:</b>\n",
    "    <br>\n",
    "    <ul>\n",
    "        <li>Investigate and manipulate data to learn its metadata, shape and robustness.</li>\n",
    "        <li>Employ data wrangling methods to transform messy source data for use in analysis and presentation.</li>\n",
    "        <li>Identify an appropriate chart and present data to illustrate its core characteristics.</li>\n",
    "    </ul>\n",
    "</div>\n",
    "\n",
    "When we present data analysis as a visual report - whether a live dashboard, or a one-time visualisation - it is to answer a question and permit others to absorb complex information quickly so that they may act on it. We don't draw charts because we like pretty pictures.\n",
    "\n",
    "This lesson is structured around answering a simple research question.\n",
    "\n",
    "<div class=\"alert alert-block alert-info\">\n",
    "<b>Research question:</b>\n",
    "<i>The war in Yemen has caused tremendous hardship and suffering to that region's civilian population. Aid- and civil-rights organisations are concerned that cholera is spreading. International health response organisations want to assess the scale of the problem. Using information published by a credible international research organisation, map reported incidents of cholera over time and assess whether there is a growing regional cholera epidemic.</i>\n",
    "</div>\n",
    "\n",
    "---"
   ]
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    "## 5.1 Investigating source data to ensure data quality\n",
    "\n",
    "Usually, in data courses, you're presented with a nice, clean dataset and run some algorithms on it and get some answers. That isn't helpful to you. Except for data you collect, you're unlikely to know the shape and contents of a dataset you import from others, no matter how good their research.\n",
    "\n",
    "Especially for large datasets, it can be difficult to know how many unique terms you may be working with and how they relate to each other.\n",
    "\n",
    "<div class=\"well\">\n",
    "    <p><b><i>Case-study</i></b>: Responding to serious public health issues requires constant monitoring. <a href=\"https://data.humdata.org/\">The Humanitarian Data Exchange</a> is provided by <a href=\"https://www.unocha.org/\">UNOCHA</a> as their central repository for public data sharing. You can explore the site and discover datasets.</p>\n",
    "    <p>Our <b>research question</b> for this lesson requires us to assess a respectable public data source referencing Yemen's cholera incident rate. Let's look at <a href=\"https://data.humdata.org/dataset/yemen-cholera-outbreak-daily-epidemiology-update\">Yemen: Cholera Outbreak Epidemiology Update Data</a>. The dataset page contains a number of features useful when providing a centralised platform to share data:</p>\n",
    "<ul>\n",
    "    <li><i>Metadata</i>: including Source, Contributor, Date of Dataset, Expected Update Frequency, Location, Visibility, License, Methdology, Comments, Tags;</li>\n",
    "    <li><i>Data and resources</i>: both for download and to explore online;</li>\n",
    "    <li><i>Contact</i>: importantly, if the data are entirely unclear, there's a way to contact the data provider;</li>\n",
    "</ul>\n",
    "    <p>Consider the metadata in full:</p>\n",
    "<table>\n",
    "  <tr>\n",
    "      <td style=\"text-align:left;\">Source</td>\n",
    "      <td style=\"text-align:left;\">World Health Organisation (WHO)</td>\n",
    "  </tr>\n",
    "  <tr>\n",
    "      <td style=\"text-align:left;\">Contributor</td>\n",
    "      <td style=\"text-align:left;\">HDX</td>\n",
    "  </tr>\n",
    "  <tr>\n",
    "      <td style=\"text-align:left;\">Date of Dataset</td>\n",
    "      <td style=\"text-align:left;\">Nov 08, 2017</td>\n",
    "  </tr>\n",
    "  <tr>\n",
    "      <td style=\"text-align:left;\">Expected Update Frequency</td>\n",
    "      <td style=\"text-align:left;\">Never (last update, 18 February 2018)</td>\n",
    "  </tr>\n",
    "  <tr>\n",
    "      <td style=\"text-align:left;\">Location</td>\n",
    "      <td style=\"text-align:left;\">Yemen</td>\n",
    "  </tr>\n",
    "  <tr>\n",
    "      <td style=\"text-align:left;\">Visibility</td>\n",
    "      <td style=\"text-align:left;\">Public</td>\n",
    "  </tr>\n",
    "  <tr>\n",
    "      <td style=\"text-align:left;\">License</td>\n",
    "      <td style=\"text-align:left;\">Creative Commons Attribution for Intergovernmental Organisations</td>\n",
    "  </tr>\n",
    "  <tr>\n",
    "      <td style=\"text-align:left;\">Methodology</td>\n",
    "      <td style=\"text-align:left;\">Registry</td>\n",
    "  </tr>\n",
    "  <tr>\n",
    "      <td style=\"text-align:left;\">Caveats / Comments</td>\n",
    "      <td style=\"text-align:left;\">\n",
    "    The data contains figures from epi bulletins, weekly epi bulletins and daily bulletins.\n",
    "    Starting 19 June 2017, the unit used for the attack rate changed from per 10,000 to per 1,000. Previous data were adjusted to the new unit by dividing by 10.\n",
    "    Starting 2 July 2017, the data included figures for a Moklla. These data were not mapped into any of the govenorates in the Yemen CODs.\n",
    "    Starting 6 July, the data included figures for Say'on. These data were not mapped into any of the govenorates in the Yemen CODs.\n",
    "    Governorate level updates were discontinued in this dataset. The last governorate level update was on 18 February 2018. The governorate level updates were discontinued in this dataset because the governorate level data is published as an image since that date.\n",
    "</td>\n",
    "  </tr>\n",
    "  <tr>\n",
    "      <td style=\"text-align:left;\">Tags</td>\n",
    "      <td style=\"text-align:left;\">ATTACK RATE CASE FATALITY RATE CASE FATALITY RATIO CASES CFR CHOLERA CONFLICT DEATHS HEALTH WAR</td>\n",
    "  </tr>\n",
    "</table>\n",
    "</div>\n",
    "\n",
    "On the [search results page](https://data.humdata.org/dataset?sort=pageviews_last_14_days+desc) you can see a funnel icon next to the search bar. When you click on it, you can filter your results by these metadata:\n",
    "\n",
    "![HDS Filter](images/humdata-filter.JPG)\n",
    "\n",
    "Open your own Jupyter Notebook and follow along with the code: "
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Governorate</th>\n",
       "      <th>Cases</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>CFR (%)</th>\n",
       "      <th>Attack Rate (per 1000)</th>\n",
       "      <th>COD Gov English</th>\n",
       "      <th>COD Gov Arabic</th>\n",
       "      <th>COD Gov Pcode</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-02-18</td>\n",
       "      <td>Amran</td>\n",
       "      <td>103965</td>\n",
       "      <td>176</td>\n",
       "      <td>0.17</td>\n",
       "      <td>89.582</td>\n",
       "      <td>Amran</td>\n",
       "      <td>عمران</td>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-02-18</td>\n",
       "      <td>Al Mahwit</td>\n",
       "      <td>62887</td>\n",
       "      <td>151</td>\n",
       "      <td>0.24</td>\n",
       "      <td>86.122</td>\n",
       "      <td>Al Mahwit</td>\n",
       "      <td>المحويت</td>\n",
       "      <td>27.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-02-18</td>\n",
       "      <td>Al Dhale'e</td>\n",
       "      <td>47136</td>\n",
       "      <td>81</td>\n",
       "      <td>0.17</td>\n",
       "      <td>64.438</td>\n",
       "      <td>Al Dhale'e</td>\n",
       "      <td>الضالع</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-02-18</td>\n",
       "      <td>Hajjah</td>\n",
       "      <td>121287</td>\n",
       "      <td>422</td>\n",
       "      <td>0.35</td>\n",
       "      <td>52.060</td>\n",
       "      <td>Hajjah</td>\n",
       "      <td>حجة</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-02-18</td>\n",
       "      <td>Sana'a</td>\n",
       "      <td>76250</td>\n",
       "      <td>123</td>\n",
       "      <td>0.16</td>\n",
       "      <td>51.859</td>\n",
       "      <td>Sana'a</td>\n",
       "      <td>صنعاء</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2018-02-18</td>\n",
       "      <td>Dhamar</td>\n",
       "      <td>103214</td>\n",
       "      <td>161</td>\n",
       "      <td>0.16</td>\n",
       "      <td>51.292</td>\n",
       "      <td>Dhamar</td>\n",
       "      <td>ذمار</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2018-02-18</td>\n",
       "      <td>Abyan</td>\n",
       "      <td>28243</td>\n",
       "      <td>35</td>\n",
       "      <td>0.12</td>\n",
       "      <td>49.477</td>\n",
       "      <td>Abyan</td>\n",
       "      <td>أبين</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2018-02-18</td>\n",
       "      <td>Al Hudaydah</td>\n",
       "      <td>155908</td>\n",
       "      <td>282</td>\n",
       "      <td>0.18</td>\n",
       "      <td>48.147</td>\n",
       "      <td>Al Hudaydah</td>\n",
       "      <td>الحديدة</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2018-02-18</td>\n",
       "      <td>Al Bayda</td>\n",
       "      <td>30568</td>\n",
       "      <td>36</td>\n",
       "      <td>0.12</td>\n",
       "      <td>40.253</td>\n",
       "      <td>Al Bayda</td>\n",
       "      <td>البيضاء</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2018-02-18</td>\n",
       "      <td>Amanat Al Asimah</td>\n",
       "      <td>103184</td>\n",
       "      <td>71</td>\n",
       "      <td>0.07</td>\n",
       "      <td>36.489</td>\n",
       "      <td>Amanat Al Asimah</td>\n",
       "      <td>أمانة العاصمة</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date       Governorate   Cases  Deaths  CFR (%)  \\\n",
       "0  2018-02-18             Amran  103965     176     0.17   \n",
       "1  2018-02-18         Al Mahwit   62887     151     0.24   \n",
       "2  2018-02-18        Al Dhale'e   47136      81     0.17   \n",
       "3  2018-02-18            Hajjah  121287     422     0.35   \n",
       "4  2018-02-18            Sana'a   76250     123     0.16   \n",
       "5  2018-02-18            Dhamar  103214     161     0.16   \n",
       "6  2018-02-18             Abyan   28243      35     0.12   \n",
       "7  2018-02-18       Al Hudaydah  155908     282     0.18   \n",
       "8  2018-02-18          Al Bayda   30568      36     0.12   \n",
       "9  2018-02-18  Amanat Al Asimah  103184      71     0.07   \n",
       "\n",
       "   Attack Rate (per 1000)   COD Gov English COD Gov Arabic  COD Gov Pcode  \n",
       "0                  89.582             Amran          عمران           29.0  \n",
       "1                  86.122         Al Mahwit        المحويت           27.0  \n",
       "2                  64.438        Al Dhale'e         الضالع           30.0  \n",
       "3                  52.060            Hajjah            حجة           17.0  \n",
       "4                  51.859            Sana'a          صنعاء           23.0  \n",
       "5                  51.292            Dhamar           ذمار           20.0  \n",
       "6                  49.477             Abyan           أبين           12.0  \n",
       "7                  48.147       Al Hudaydah        الحديدة           18.0  \n",
       "8                  40.253          Al Bayda        البيضاء           14.0  \n",
       "9                  36.489  Amanat Al Asimah  أمانة العاصمة           13.0  "
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    "# Comments to code are not executed and are flagged with this '#' symbol.\n",
    "# First we'll import the pandas library.\n",
    "# We use 'as' so that we can reference it as 'pd', which is shorter to type.\n",
    "import pandas as pd\n",
    "\n",
    "# In Python, we can declare our variables by simply naming them, like below\n",
    "# 'data_url' is a variable name and the url is the text reference we're assigning to it\n",
    "data_url = \"https://docs.google.com/spreadsheets/d/1P0ob0sfz3xqG8u_dxT98YcVTMwzPSnya_qx6MbX-_Z8/pub?gid=0&single=true&output=csv\"\n",
    "\n",
    "# We import our data as a 'dataframe' using this simple instruction.\n",
    "# How did I know it was a CSV (Comma Separated Value) file? If you look at the end of the urls (above),\n",
    "# you'll see 'output=csv'. A variable in Python can be anything. Here our variable is a Pandas dataframe type.\n",
    "data = pd.read_csv(data_url)\n",
    "\n",
    "# Lets see what that looks like (I limit the number of rows printed by using '[:10]', \n",
    "# and Python is '0' indexed, meaning the first item starts at '0'):\n",
    "data.head(10)"
   ]
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    "These are the first ten rows of the Pandas dataframe. The same ten rows in the source file looks like this:\n",
    "\n",
    "    Date,Governorate,Cases,Deaths,CFR (%),Attack Rate (per 1000),COD Gov English,COD Gov Arabic,COD Gov Pcode\n",
    "    2017-11-08,Amran,\"89,729\",170,0.19,77.315,Amran,عمران,29\n",
    "    2017-11-08,Al Mahwit,\"52,920\",145,0.27,72.472,Al Mahwit,المحويت,27\n",
    "    2017-11-08,Al Dhale'e,\"46,721\",81,0.17,63.870,Al Dhale'e,الضالع,30\n",
    "    2017-11-08,Abyan,\"27,957\",35,0.13,48.976,Abyan,أبين,12\n",
    "    2017-11-08,Sana'a,\"66,086\",122,0.18,44.946,Sana'a,صنعاء,23\n",
    "    2017-11-08,Hajjah,\"100,850\",414,0.41,43.288,Hajjah,حجة,17\n",
    "    2017-11-08,Dhamar,\"84,741\",157,0.19,42.112,Dhamar,ذمار,20\n",
    "    2017-11-08,Al Hudaydah,\"131,827\",268,0.20,40.710,Al Hudaydah,الحديدة,18\n",
    "    2017-11-08,Al Bayda,\"25,905\",31,0.12,34.113,Al Bayda,البيضاء,14\n",
    "    2017-11-08,Amanat Al Asimah,\"87,578\",68,0.08,30.970,Amanat Al Asimah,أمانة العاصمة,13\n",
    "\n",
    "All the data are separated into columns by commas, hence \"comma separated values\". Numbers - where commas are used to separate 1,000s - are surrounded by inverted commas (\"\") to _escape_ the commas (prevent them being interpreted as a column marker). This is the simplest mechanism for sharing data in a way that doesn't require us to all use a specific software package to open the data file. Various efforts have been made to standardise CSV files but that is likely to remain a work-in-progress.\n",
    "\n",
    "The top bolded row of the dataframe contains the terms which describe the data in each column. Not all of those terms will be familiar, and - even when familiar - the units may not be obvious. These _headers_ are another form of metadata called _**structural metadata**_; a grammar describing the structure and definitions of the data in a table.\n",
    "\n",
    "Sometimes the data you're working with has no further information and you need to experiment with similar data to assess what the terms mean, or what units are being used, or to gap-fill missing data. Sometimes there's someone to ask. Sometimes you get a structural metadata definition to work with.\n",
    "\n",
    "This process, of researching a dataset, of exploration and tremendous frustration, is known as _munging_ or _data wrangling_.\n",
    "\n",
    "In this case, the publisher has helpfully provided another table containing the definitions for the structural metadata."
   ]
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Column</th>\n",
       "      <th>Description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Date</td>\n",
       "      <td>Date when the figures were reported.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Governorate</td>\n",
       "      <td>The Governorate name as reported in the WHO ep...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Cases</td>\n",
       "      <td>Number of cases recorded in the governorate si...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Deaths</td>\n",
       "      <td>Number of deaths recorded in the governorate s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CFR (%)</td>\n",
       "      <td>The case fatality rate in governorate since 27...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Attack Rate (per 1000)</td>\n",
       "      <td>The attack rate per 1,000 of the population in...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>COD Gov English</td>\n",
       "      <td>The English name for the governorate according...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>COD Gov Arabic</td>\n",
       "      <td>The Arabic name for the governorate according ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>COD Gov Pcode</td>\n",
       "      <td>The PCODE name for the governorate according t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Bulletin Type</td>\n",
       "      <td>The type of bulletin from which the data was e...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Bulletin URL</td>\n",
       "      <td>The URL of the bulletin from which the data wa...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Column                                        Description\n",
       "0                     Date               Date when the figures were reported.\n",
       "1              Governorate  The Governorate name as reported in the WHO ep...\n",
       "2                    Cases  Number of cases recorded in the governorate si...\n",
       "3                   Deaths  Number of deaths recorded in the governorate s...\n",
       "4                  CFR (%)  The case fatality rate in governorate since 27...\n",
       "5   Attack Rate (per 1000)  The attack rate per 1,000 of the population in...\n",
       "6          COD Gov English  The English name for the governorate according...\n",
       "7           COD Gov Arabic  The Arabic name for the governorate according ...\n",
       "8            COD Gov Pcode  The PCODE name for the governorate according t...\n",
       "9            Bulletin Type  The type of bulletin from which the data was e...\n",
       "10            Bulletin URL  The URL of the bulletin from which the data wa..."
      ]
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   "source": [
    "# First we set the url for the metadata table\n",
    "metadata_url = \"https://docs.google.com/spreadsheets/d/1P0ob0sfz3xqG8u_dxT98YcVTMwzPSnya_qx6MbX-_Z8/pub?gid=771626114&single=true&output=csv\"\n",
    "# Import it from CSV\n",
    "metadata = pd.read_csv(metadata_url)\n",
    "# Show the metadata:\n",
    "metadata"
   ]
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   "metadata": {},
   "source": [
    "The column widths are too narrow to read the full text. There are two ways we can widen them. The first is to adjust the output style of the dataframe. The second is to pull out the text from each cell and iterate through a list. The first is easier (one line), but the second is an opportunity to demonstrate how to work with dataframes.\n",
    "\n",
    "We can explore each of these metadata terms, but rows 2 to 5 would appear the most relevant. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "#T_177eb_row0_col1, #T_177eb_row1_col1, #T_177eb_row2_col1, #T_177eb_row3_col1 {\n",
       "  width: 400px;\n",
       "  text-align: left;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_177eb\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_177eb_level0_col0\" class=\"col_heading level0 col0\" >Column</th>\n",
       "      <th id=\"T_177eb_level0_col1\" class=\"col_heading level0 col1\" >Description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_177eb_level0_row0\" class=\"row_heading level0 row0\" >2</th>\n",
       "      <td id=\"T_177eb_row0_col0\" class=\"data row0 col0\" >Cases</td>\n",
       "      <td id=\"T_177eb_row0_col1\" class=\"data row0 col1\" >Number of cases recorded in the governorate since 27 April 2017.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_177eb_level0_row1\" class=\"row_heading level0 row1\" >3</th>\n",
       "      <td id=\"T_177eb_row1_col0\" class=\"data row1 col0\" >Deaths</td>\n",
       "      <td id=\"T_177eb_row1_col1\" class=\"data row1 col1\" >Number of deaths recorded in the governorate since 27 April 2017.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_177eb_level0_row2\" class=\"row_heading level0 row2\" >4</th>\n",
       "      <td id=\"T_177eb_row2_col0\" class=\"data row2 col0\" >CFR (%)</td>\n",
       "      <td id=\"T_177eb_row2_col1\" class=\"data row2 col1\" >The case fatality rate in governorate since 27 April 2017.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_177eb_level0_row3\" class=\"row_heading level0 row3\" >5</th>\n",
       "      <td id=\"T_177eb_row3_col0\" class=\"data row3 col0\" >Attack Rate (per 1000)</td>\n",
       "      <td id=\"T_177eb_row3_col1\" class=\"data row3 col1\" >The attack rate per 1,000 of the population in the governorate since 27 April 2017.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f37140ad2e0>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# First, the one-line solution.\n",
    "# Note: it's 2 up-to 6, i.e. up-to-but-not-including\n",
    "metadata[2:6].style.set_properties(subset=[\"Description\"], **{\"width\": \"400px\", \"text-align\": \"left\"})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The second approach is two lines, and requires some new coding skills. We address an individual cell from a specific dataframe column as follows:\n",
    "\n",
    "    dataframe.column_name[row_number]\n",
    "    \n",
    "We have four terms and it would be tedious to type out each term we're interested in this way, so we'll use a loop. Python uses whitespace indentation to structure its code.\n",
    "\n",
    "    for variable in list:\n",
    "        print(variable)\n",
    "\n",
    "This will loop through the list of variables you have, giving the name `variable` to each item. Everything indented (using either a tab, or four spaces to indent) will be executed in order in the loop. In this case, the loop prints the variable.\n",
    "\n",
    "We're also going to use two other code terms:\n",
    "\n",
    " - `'{}{}'.format(var1, var2)` - used to add variables to text; {} braces will be replaced in the order the variables are provided;\n",
    " - `range` - a way to create a numerical list (e.g. `range(2,6)` creates a list of integers like this `[2,3,4,5]`);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 - Number of cases recorded in the governorate since 27 April 2017.\n",
      "3 - Number of deaths recorded in the governorate since 27 April 2017.\n",
      "4 - The case fatality rate in governorate since 27 April 2017.\n",
      "5 - The attack rate per 1,000 of the population in the governorate since 27 April 2017.\n"
     ]
    }
   ],
   "source": [
    "for i in range(2, 6):\n",
    "    print(F\"{i} - {metadata.Description[i]}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Unless you work in epidemiology, \"attack rate\" may still be unfamiliar. The US Centers for Disease Control and Prevention has a self-study course \\cite{dicker_principles_2012} which covers the principles of epidemiology and contains this definition: \"In the outbreak setting, the term attack rate is often used as a synonym for risk. It is the risk of getting the disease during a specified period, such as the duration of an outbreak.\"\n",
    "\n",
    "An \"Attack rate (per 1000)\" implies the rate of new infections per 1,000 people in a particular population.\n",
    "\n",
    "There are two more things to find out: how many governorates are there in Yemen, and over what period do we have data?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of Governorates: 26\n",
      "['Amran' 'Al Mahwit' \"Al Dhale'e\" 'Hajjah' \"Sana'a\" 'Dhamar' 'Abyan'\n",
      " 'Al Hudaydah' 'Al Bayda' 'Amanat Al Asimah' 'Raymah' 'Al Jawf' 'Lahj'\n",
      " 'Aden' 'Ibb' 'Taizz' 'Marib' \"Sa'ada\" 'Al Maharah' 'Shabwah' 'Moklla'\n",
      " \"Say'on\" 'Al-Hudaydah' 'Al_Jawf' \"Ma'areb\" 'AL Mahrah']\n"
     ]
    }
   ],
   "source": [
    "# Get the unique governorates from the 'Governorate' column:\n",
    "# Note the way we address the column and call for 'unique()'\n",
    "governorates = data.Governorate.unique()\n",
    "print(F\"Number of Governorates: {len(governorates)}\")\n",
    "print(governorates)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting on 2017-05-22, ending on 2018-02-18; with 136 periods.\n"
     ]
    }
   ],
   "source": [
    "# We can do the same for the dates, but we also want to know the start and end\n",
    "# Note the alternative way to address a dataframe column which permits use of names \n",
    "# with spaces or none-alphabetic characters\n",
    "date_list = data[\"Date\"].unique()\n",
    "print(F\"Starting on {min(date_list)}, ending on {max(date_list)}; with {len(date_list)} periods.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can now summarise what we have learned: _data covering a daily update of cholera infection and fatality rates for 136 days, starting on 22 May 2017 till 18 Feburary 2018 for the 26 governorates in Yemen._\n",
    "\n",
    "Mostly this confirms what was in the description on HDX, but we also have some updates and additional data to consider.\n",
    "\n",
    "Before we go any further, it is helpful to check that the data presented are in the format we expect. Are those integers and floats defined that way, or are they being interpreted as text (because, for example, someone left commas in the data ... which, when we checked the source data, is exactly what they did)?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2914 entries, 0 to 2913\n",
      "Data columns (total 9 columns):\n",
      " #   Column                  Non-Null Count  Dtype  \n",
      "---  ------                  --------------  -----  \n",
      " 0   Date                    2914 non-null   object \n",
      " 1   Governorate             2914 non-null   object \n",
      " 2   Cases                   2914 non-null   object \n",
      " 3   Deaths                  2914 non-null   int64  \n",
      " 4   CFR (%)                 2914 non-null   float64\n",
      " 5   Attack Rate (per 1000)  2914 non-null   float64\n",
      " 6   COD Gov English         2713 non-null   object \n",
      " 7   COD Gov Arabic          2713 non-null   object \n",
      " 8   COD Gov Pcode           2713 non-null   float64\n",
      "dtypes: float64(3), int64(1), object(5)\n",
      "memory usage: 205.0+ KB\n"
     ]
    }
   ],
   "source": [
    "# This will give us a quick summary of the data, including value types and the number or rows with valid data\n",
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Immediately we notice a problem. Our \"Dates\" are not of a date-type, and \"Cases\" are not integers. This will cause us problems as we get deeper into our analysis. Thankfully, conversion is quick and easy.\n",
    "\n",
    "Pandas will attempt to figure out what type of object each value is and assign it appropriately. If it can't figure it out, then the default is to convert it to a text string. There are a number of ways in which numbers and dates can be formatted confusingly, and the most common for integers is when commas are included.\n",
    "\n",
    "Ordinarily - especially if we intend to download each update of these data and use the series regularly - we can specify transformations on load. We didn't know about these problems when we started so we'll fix it directly now.\n",
    "\n",
    "These sorts of transformations - converting dates, integers and floats - are common requirements and it's useful to get a grasp of them at the beginning. In later modules, we'll consider more complex transformations and gap-filling."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2914 entries, 0 to 2913\n",
      "Data columns (total 9 columns):\n",
      " #   Column                  Non-Null Count  Dtype         \n",
      "---  ------                  --------------  -----         \n",
      " 0   Date                    2914 non-null   datetime64[ns]\n",
      " 1   Governorate             2914 non-null   object        \n",
      " 2   Cases                   2914 non-null   int64         \n",
      " 3   Deaths                  2914 non-null   int64         \n",
      " 4   CFR (%)                 2914 non-null   float64       \n",
      " 5   Attack Rate (per 1000)  2914 non-null   float64       \n",
      " 6   COD Gov English         2713 non-null   object        \n",
      " 7   COD Gov Arabic          2713 non-null   object        \n",
      " 8   COD Gov Pcode           2713 non-null   float64       \n",
      "dtypes: datetime64[ns](1), float64(3), int64(2), object(3)\n",
      "memory usage: 205.0+ KB\n"
     ]
    }
   ],
   "source": [
    "# Removing commas for an entire column and converting to integers\n",
    "data[\"Cases\"] = [int(x.replace(\",\",\"\")) for x in data[\"Cases\"]]\n",
    "# And converting to date is even simpler\n",
    "data[\"Date\"] = pd.to_datetime(data[\"Date\"])\n",
    "# And let's check the overview again\n",
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The code used to transform \"Cases\" (the bit to the right of = and between the []) is called a [_list comprehension_](https://www.datacamp.com/community/tutorials/python-list-comprehension). These are very efficient, taking little time to execute.\n",
    "\n",
    "The time it takes code to run is not a major concern right now, with only 2,913 rows, but it becomes a major factor once we work with larger datasets and is something addressed in later modules.\n",
    "\n",
    "Our data are a time-series and our analysis will focus on attempting to understand what is happening and where. We're continuing to explore the shape of it and assess how we can best present the human story carried by that data.\n",
    "\n",
    "We know that the cholera epidemic is getting worse, since more governorates were added in since the time-series began. To get a rough sense of how the disease and humanitarian response has progressed, we will limit our table only to the columns we're interested in, and create two slices at the start and end of the series."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                       Date  Cases  Deaths  CFR (%)  Attack Rate (per 1000)\n",
      "Governorate                                                                \n",
      "Al Mahwit        2017-05-22   2486      34      1.4                    3.27\n",
      "Sana'a           2017-05-22   3815      39      1.0                    3.05\n",
      "Amanat Al Asimah 2017-05-22   9216      33      0.4                    2.79\n",
      "Amran            2017-05-22   3743      45      1.2                    2.45\n",
      "Hajjah           2017-05-22   4664      42      0.9                    2.10\n",
      "Al Bayda         2017-05-22   1498       6      0.4                    1.95\n",
      "Al Dhale'e       2017-05-22   1401       8      0.6                    1.86\n",
      "Abyan            2017-05-22   1068      10      0.9                    1.75\n",
      "Raymah           2017-05-22    549       4      0.7                    0.87\n",
      "Dhamar           2017-05-22   1617      33      2.0                    0.76\n",
      "Taizz            2017-05-22   1791      23      1.3                    0.59\n",
      "Aden             2017-05-22    489      12      2.5                    0.51\n",
      "Ibb              2017-05-22   1378      37      2.7                    0.45\n",
      "Al-Hudaydah      2017-05-22   1397      32      2.3                    0.42\n",
      "Al_Jawf          2017-05-22    189       3      1.6                    0.29\n",
      "Lahj             2017-05-22    168       0      0.0                    0.16\n",
      "Ma'areb          2017-05-22      2       0      0.0                    0.01\n",
      "                       Date   Cases  Deaths  CFR (%)  Attack Rate (per 1000)\n",
      "Governorate                                                                 \n",
      "Amran            2018-02-18  103965     176     0.17                  89.582\n",
      "Al Mahwit        2018-02-18   62887     151     0.24                  86.122\n",
      "Al Dhale'e       2018-02-18   47136      81     0.17                  64.438\n",
      "Hajjah           2018-02-18  121287     422     0.35                  52.060\n",
      "Sana'a           2018-02-18   76250     123     0.16                  51.859\n",
      "Dhamar           2018-02-18  103214     161     0.16                  51.292\n",
      "Abyan            2018-02-18   28243      35     0.12                  49.477\n",
      "Al Hudaydah      2018-02-18  155908     282     0.18                  48.147\n",
      "Al Bayda         2018-02-18   30568      36     0.12                  40.253\n",
      "Amanat Al Asimah 2018-02-18  103184      71     0.07                  36.489\n",
      "Raymah           2018-02-18   17841     120     0.67                  29.403\n",
      "Al Jawf          2018-02-18   16018      22     0.14                  27.685\n",
      "Lahj             2018-02-18   24342      22     0.09                  24.128\n",
      "Aden             2018-02-18   20966      62     0.30                  22.715\n",
      "Ibb              2018-02-18   67129     288     0.43                  22.701\n",
      "Taizz            2018-02-18   63696     188     0.30                  21.244\n",
      "Marib            2018-02-18    7288       7     0.10                  20.327\n",
      "Sa'ada           2018-02-18   10706       5     0.05                  11.828\n",
      "Al Maharah       2018-02-18    1168       1     0.09                   7.866\n",
      "Shabwah          2018-02-18    1399       3     0.21                   2.315\n",
      "Moklla           2018-02-18     569       2     0.35                   1.290\n",
      "Say'on           2018-02-18      22       0     0.00                   0.058\n"
     ]
    }
   ],
   "source": [
    "# First, we limit our original data only to the columns we will use,\n",
    "# and we sort the table according to the attack rate:\n",
    "data_slice = data[[\"Date\", \"Governorate\", \"Cases\", \"Deaths\", \"CFR (%)\", \"Attack Rate (per 1000)\"]\n",
    "                 ].sort_values(\"Attack Rate (per 1000)\", ascending=False)\n",
    "# Now we create our two slices, and set the index to Governorate\n",
    "ds_start = data_slice.loc[data_slice.Date == \"2017-05-22\"].set_index(\"Governorate\")\n",
    "ds_end = data_slice.loc[data_slice.Date == \"2018-02-18\"].set_index(\"Governorate\")\n",
    "# And print\n",
    "print(ds_start)\n",
    "print(ds_end)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There's a great deal of data to process here, but the most important is that the attack rate has risen exponentially, and cholera has spread to more areas.\n",
    "\n",
    "However, there are also a few errors in the data. Note that _Al Jawf_ appears twice (as \"Al Jawf\" and as \"Al_Jawf\"). It is essential to remember that computers are morons. They can only do exactly what you tell them to do. Different spellings, or even different capitalisations, of words are different words.\n",
    "\n",
    "You may have hoped that the data munging part was complete, but we need to fix this. We should also account for the introduction of \"Moklla\" and \"Say'on\" which are two districts in the governorate of \"Hadramaut\" so that we do only have a list of governorates (and you may have picked this up if you'd read through the comments in the metadata earlier).\n",
    "\n",
    "We can now filter our dataframe by the groups of governorates we need to correct. This introduces a few new concepts in Python. Our first step is to create a _dictionary_ containing the terms we want to search for, and the terms we want to standardise."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# A dictionary is a set of key: value pairs - the 'key' is a term used to index a specific value;\n",
    "# the 'value' can be any Python object. Here it is a list of terms we want to search for:\n",
    "fix = {\"Hadramaut\": [\"Moklla\",\"Say'on\"],\n",
    "       \"Al Hudaydah\": [\"Al Hudaydah\", \"Al-Hudaydah\"], \n",
    "       \"Al Jawf\": [\"Al Jawf\", \"Al_Jawf\"], \n",
    "       \"Al Maharah\": [\"Al Maharah\", \"AL Mahrah\"], \n",
    "       \"Marib\": [\"Marib\", \"Ma'areb\"]\n",
    "      }"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next we will define a _function_. This is similar to the libraries we have been using, such as Pandas. A function encapsulates some code into a reusable object so that we don't need to repeat ourselves and can call it whenever we want.\n",
    "\n",
    "We notice that the terms \"Al Hudaydah\" and \"Al-Hudaydah\" are equivalent. Our function needs to combine these terms into one agreed-upon term (the `key` in our dictionary above). If both terms are used in one time period (such as for \"Moklla\" and \"Say'on\") we need the function to recalculate the averages for \"CFR (%)\" and \"Attack Rate (per 1000)\" as well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def fix_governorates(data, fix_govs):\n",
    "    \"\"\"\n",
    "    Rename terms in a dataframe based on a key-value dictionary.\n",
    "    \n",
    "    This is our function _fix_governorates_; note that we must pass it\n",
    "    two variables, known as arguments.\n",
    "    \n",
    "    Args:\n",
    "        data - the dataframe we want to fix;\n",
    "        fix_govs - a dictionary of the governorates we need to correct.\n",
    "    \n",
    "    The function will perform the following task:\n",
    "        For a given dataframe, date list, and dictionary of Governorates\n",
    "        loop through the keys in the dictionary and combine the list \n",
    "        of associated governorates into a new dataframe.\n",
    "        Return a new, corrected, dataframe.\n",
    "        \n",
    "    Returns:\n",
    "        Pandas dataframe.\n",
    "    \"\"\"\n",
    "    # Create an empty list for each of the new dataframes we'll create\n",
    "    new_frames = []\n",
    "    # And an empty list for all the governorates we'll need to remove later\n",
    "    remove = []\n",
    "    # Create our list of dates\n",
    "    date_list = data[\"Date\"].unique()\n",
    "    # Loop through each of the governorates we need to fix\n",
    "    for key in fix_govs.keys():\n",
    "        # Create a filtered dataframe containing only the governorates to fix\n",
    "        ds = data.loc[data.Governorate.isin(fix_govs[key])]\n",
    "        # New entries for the new dataframe\n",
    "        new_rows = {\"Date\": [],\n",
    "                    \"Cases\": [],\n",
    "                    \"Deaths\": [],\n",
    "                    \"CFR (%)\": [],\n",
    "                    \"Attack Rate (per 1000)\": []\n",
    "                   }\n",
    "        # Divisor for averages (i.e. there could be more than 2 govs to fix)\n",
    "        num = len(fix_govs[key])\n",
    "        # Add the governorate values to the remove list\n",
    "        remove.extend(fix_govs[key])\n",
    "        # For each date, generate new values\n",
    "        for d in date_list:\n",
    "            # Data in the dataframe is stored as a Timestamp value\n",
    "            r = ds[ds[\"Date\"] == pd.Timestamp(d)]\n",
    "            new_rows[\"Date\"].append(pd.Timestamp(d))\n",
    "            new_rows[\"Cases\"].append(r.Cases.sum())\n",
    "            new_rows[\"Deaths\"].append(r.Deaths.sum())\n",
    "            new_rows[\"CFR (%)\"].append(r[\"CFR (%)\"].sum()/num)\n",
    "            new_rows[\"Attack Rate (per 1000)\"].append(r[\"Attack Rate (per 1000)\"].sum()/num)\n",
    "        # Create a new dataframe from the combined data\n",
    "        new_rows = pd.DataFrame(new_rows)\n",
    "        # And assign the values to the key governorate\n",
    "        new_rows[\"Governorate\"] = key\n",
    "        # Add the new dataframe to our list of new frames\n",
    "        new_frames.append(new_rows)\n",
    "    # Get an inverse filtered dataframe from what we had before\n",
    "    ds = data.loc[~data.Governorate.isin(remove)]\n",
    "    new_frames.append(ds)\n",
    "    # Return a new contatenated dataframe with all our corrected data\n",
    "    return pd.concat(new_frames, ignore_index=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can run our function on our data and reproduce the two tables from before."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                       Date  Cases  Deaths  CFR (%)  Attack Rate (per 1000)\n",
      "Governorate                                                                \n",
      "Al Mahwit        2017-05-22   2486      34     1.40                   3.270\n",
      "Sana'a           2017-05-22   3815      39     1.00                   3.050\n",
      "Amanat Al Asimah 2017-05-22   9216      33     0.40                   2.790\n",
      "Amran            2017-05-22   3743      45     1.20                   2.450\n",
      "Hajjah           2017-05-22   4664      42     0.90                   2.100\n",
      "Al Bayda         2017-05-22   1498       6     0.40                   1.950\n",
      "Al Dhale'e       2017-05-22   1401       8     0.60                   1.860\n",
      "Abyan            2017-05-22   1068      10     0.90                   1.750\n",
      "Raymah           2017-05-22    549       4     0.70                   0.870\n",
      "Dhamar           2017-05-22   1617      33     2.00                   0.760\n",
      "Taizz            2017-05-22   1791      23     1.30                   0.590\n",
      "Aden             2017-05-22    489      12     2.50                   0.510\n",
      "Ibb              2017-05-22   1378      37     2.70                   0.450\n",
      "Al Hudaydah      2017-05-22   1397      32     1.15                   0.210\n",
      "Lahj             2017-05-22    168       0     0.00                   0.160\n",
      "Al Jawf          2017-05-22    189       3     0.80                   0.145\n",
      "Marib            2017-05-22      2       0     0.00                   0.005\n",
      "Hadramaut        2017-05-22      0       0     0.00                   0.000\n",
      "Al Maharah       2017-05-22      0       0     0.00                   0.000\n",
      "                       Date   Cases  Deaths  CFR (%)  Attack Rate (per 1000)\n",
      "Governorate                                                                 \n",
      "Amran            2018-02-18  103965     176    0.170                 89.5820\n",
      "Al Mahwit        2018-02-18   62887     151    0.240                 86.1220\n",
      "Al Dhale'e       2018-02-18   47136      81    0.170                 64.4380\n",
      "Hajjah           2018-02-18  121287     422    0.350                 52.0600\n",
      "Sana'a           2018-02-18   76250     123    0.160                 51.8590\n",
      "Dhamar           2018-02-18  103214     161    0.160                 51.2920\n",
      "Abyan            2018-02-18   28243      35    0.120                 49.4770\n",
      "Al Bayda         2018-02-18   30568      36    0.120                 40.2530\n",
      "Amanat Al Asimah 2018-02-18  103184      71    0.070                 36.4890\n",
      "Raymah           2018-02-18   17841     120    0.670                 29.4030\n",
      "Lahj             2018-02-18   24342      22    0.090                 24.1280\n",
      "Al Hudaydah      2018-02-18  155908     282    0.090                 24.0735\n",
      "Aden             2018-02-18   20966      62    0.300                 22.7150\n",
      "Ibb              2018-02-18   67129     288    0.430                 22.7010\n",
      "Taizz            2018-02-18   63696     188    0.300                 21.2440\n",
      "Al Jawf          2018-02-18   16018      22    0.070                 13.8425\n",
      "Sa'ada           2018-02-18   10706       5    0.050                 11.8280\n",
      "Marib            2018-02-18    7288       7    0.050                 10.1635\n",
      "Al Maharah       2018-02-18    1168       1    0.045                  3.9330\n",
      "Shabwah          2018-02-18    1399       3    0.210                  2.3150\n",
      "Hadramaut        2018-02-18     591       2    0.175                  0.6740\n"
     ]
    }
   ],
   "source": [
    "data_slice = fix_governorates(data_slice, fix).sort_values(\"Attack Rate (per 1000)\", ascending=False)\n",
    "# Now we recreate our two slices, and set the index to Governorate\n",
    "ds_start = data_slice.loc[data_slice.Date == \"2017-05-22\"].set_index(\"Governorate\")\n",
    "ds_end = data_slice.loc[data_slice.Date == \"2018-02-18\"].set_index(\"Governorate\")\n",
    "# And print\n",
    "print(ds_start)\n",
    "print(ds_end)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also create a line chart to see how the number of cases has progressed over time. This will be our first use of _Matplotlib_, a fairly ubiquitous and powerful Python plotting library. Jupyter Notebook has some \"magic\" we can use in the line `%matplotlib inline` which permits us to draw charts directly in this notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Matplotlib for additional customization\n",
    "from matplotlib import pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "# First we create a pivot table of the data we wish to plot. Here only the \"Cases\", although you\n",
    "# should experiment with the other columns as well.\n",
    "drawing = pd.pivot_table(data_slice, values=\"Cases\", index=[\"Date\"], columns=[\"Governorate\"])\n",
    "# Then we set a plot figure size and draw\n",
    "drawing.plot(figsize=(20,15), grid=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These are not glamorous charts or tables. This last is what I call a _spaghetti chart_ because of the tangle of lines that make it difficult to track what is happening.\n",
    "\n",
    "However, they are useful methods for investigating what the data tell us and contextualising it against the events behind the data.\n",
    "\n",
    "Perhaps, given where we are, you feel some confidence that you could begin to piece together a story of what is happening in the Yemen cholera epidemic?\n",
    "\n",
    "### Data and the trouble with accuracy\n",
    "\n",
    "Sitting at your computer in comfortable surroundings - whether in a quiet office, or the clatter and warmth of your favourite coffee shop - it is tempting to place confidence in a neat table of numbers and descriptions. You may have a sense that data are, in some reassuring way, _truthy_.\n",
    "\n",
    "They are not.\n",
    "\n",
    "All data are a reflection of the time when they were collected, the methodology that produced it, and the care with which that methodology was implemented. It is a sample of a moment in time and it is inherently imperfect.\n",
    "\n",
    "Medical data, produced by interviewing patient volunteers, is reliant on self-reported experiences and people - even when they're trying to be honest and reporting on something uncontroversial - have imperfect memories. Blood or tissue samples depend on the consistency with which those samples were acquired, and the chain which stretches from patient, to clinic, to courier, to laboratory, to data analyst. Anything can go wrong, from spillage to spoilage to contamination to overheating or freezing.\n",
    "\n",
    "Even data generated autonomously via sensors or computational sampling is based on what a human thought was important to measure, and implemented by people who had to interpret instructions on what to collect and apply it to the tools at hand. Sensors can be in the wrong place, pointing in the wrong direction, miscalibrated, or based on faulty assumptions from the start.\n",
    "\n",
    "Data carry the bias of the people who constructed the research and the hopes of those who wish to learn from it.\n",
    "\n",
    "> Data are inherently uncertain and any analysis must be absolutely cognizant of this. It is the reason we start with ethics. We must, from the outset, be truthful to ourselves.\n",
    "\n",
    "In future lessons we'll consider methods of assessing the uncertainty in our data and how much confidence we can have. For this lesson, we'll develop a theoretical understanding of the uncertainty and which data we can use to tell a story about events happening in Yemen.\n",
    "\n",
    "In the space of six months (from May to November 2017), Yemen went from 35,000 cholera cases to almost 1 million. Deaths now exceed 2,000 people per month and the attack rate per 1,000 has gone from an average of 1, to 30. This reads like an out-of-control disaster.\n",
    "\n",
    "At the same time, however, the fatality rate has dropped from 1% to 0.2%. \n",
    "\n",
    "Grounds for optimism, then? Somehow medical staff are getting on top of the illness even as infection spreads?\n",
    "\n",
    "Consider how these data are collected. Consider the environment in which it is being collected.\n",
    "\n",
    "<div class=\"alert alert-block alert-info\">\n",
    "<b><i>Background</i></b>: reading on what is happening in Yemen (December 2017):\n",
    "<br>\n",
    "<ul>\n",
    "    <li><a href=\"https://www.hrw.org/news/2017/12/07/yemen-coalition-blockade-imperils-civilians\">Yemen: Coalition Blockade Imperils Civilians</a> - Human Rights Watch, 7 December 2017</li>\n",
    "    <li><a href=\"https://www.theguardian.com/world/ng-interactive/2016/sep/16/how-saudi-arabias-airstrikes-have-hit-civilian-life-in-yemen\">What is happening in Yemen and how are Saudi Arabia's airstrikes affecting civilians</a> - Paul Torpey, Pablo Gutiérrez, Glenn Swann and Cath Levett, The Guardian, 16 September 2016</li>\n",
    "    <li><a href=\"http://www.bbc.co.uk/news/world-middle-east-39651265\">Saudi 'should be blacklisted' over Yemen hospital attacks</a> - BBC, 20 April 2017</li>\n",
    "    <li><a href=\"https://www.usip.org/sites/default/files/SR342_Process-Lessons-Learned-in-Yemens-National-Dialogue.pdf\">Process Lessons Learned in Yemen’s National Dialogue</a> - Erica Gaston, USIP, February 2014</li>\n",
    "</ul>\n",
    "According to <a href=\"https://www.unicef.org/media/media_101496.html\">UNICEF</a>, as of November 2017, \"More than 20 million people, including over 11 million children, are in need of urgent humanitarian assistance. At least 14.8 million are without basic healthcare and an outbreak of cholera has resulted in more than 900,000 suspected cases.\"\n",
    "</div>\n",
    "\n",
    "Cholera incidence data are being collected in an active war zone where genocide and human rights violations are committed daily. Hospital staff are stretched thin, and many have been killed. Hospitals themselves are being deliberately targeted in aerial bombardment. Islamic religious law requires a body to be buried as soon as possible, and this is even more important in a conflict zone to limit further spread of disease.\n",
    "\n",
    "The likelihood is that medical staff are overwhelmed, and that the living and ill must take precedence over the dead. They see as many people as they can, and it is a testament to their dedication and professionalism that these data continue to reach the WHO and UNICEF.\n",
    "\n",
    "There are human beings behind these data. They have suffered greatly to bring it to you.\n",
    "\n",
    "In other words, all we can be certain of is that the Cases and Deaths are the minimum likely, and that attack- and death rates are probably extremely inaccurate. The undercount in deaths may lead to a false sense that the death rate is falling relative to infection, but one shouldn't count on this.\n",
    "\n",
    "Despite these caveats, humanitarian organisations must use these data to prepare their relief response. Food, medication and aid workers must be readied for the moment when fighting drops sufficiently to get to Yemen. Journalists hope to stir public opinion in donor nations (and those outside nations active in the conflict), using these data to explain what is happening.\n",
    "\n",
    "The story we are working on must accept that the infection rate has only a reasonable approximation of what is happening, and that these data should be developed to reflect events.\n",
    "\n",
    "---\n",
    "\n",
    "## 5.2 Presentation: simplicity and letting data tell a story\n",
    "\n",
    "A data scientist requires confidence across a broad range of expertise and against a rapidly-changing environment in which the tools and methods used to pursue our profession are in continual flux. Most of what we do is safely hidden from view.\n",
    "\n",
    "The one area where what we do rises to the awareness of the lay public is in the presentation of our results. It is also an area with continual development of new visualisation tools and techniques.\n",
    "\n",
    "This is to highlight that the presentation part of this course may date the fastest and you should take from it principles and approaches to presentation, and not necessarily the software tools.\n",
    "\n",
    "Presentation is everything from writing up academic findings for publication in a journal, to writing a financial and market report for a business, to producing journalism on a complex and fast-moving topic, to persuading donors and humanitarian agencies to take a particular health or environmental threat seriously.\n",
    "\n",
    "It is, first and foremost, about organising your thoughts to tell a consistent and compelling story.\n",
    "\n",
    "### 5.2.1 A language and approach to data-driven story-telling\n",
    "\n",
    "There are \"lies, damned lies, and statistics\", as Mark Twain used to say. Be very careful that you tell the story that is there, rather than one which reflects your own biases (cf. [Ethics](#1.1-Ethics:-a-foundation-for-reasoning)).\n",
    "\n",
    "According to Edward Tufte \\cite{tufte_beautiful_2006}, professor of statistics at Yale, graphical displays should:\n",
    "\n",
    " - Show the data,\n",
    " - Induce the viewer to think about the substance, rather than about the methodology, graphic design, the technology of graphic production, or something else,\n",
    " - Avoid distorting what the data have to say,\n",
    " - Present many numbers in a small space,\n",
    " - Make large datasets coherent,\n",
    " - Encourage the eye to compare different pieces of data,\n",
    " - Reveal the data at several levels of detail, from a broad overview to the fine structure,\n",
    " - Serve a reasonably clear purpose: description, exploration, tabulation, or decoration,\n",
    " - Be closely integrated with the statistical and verbal descriptions of a dataset.\n",
    " \n",
    "There are a lot of people with a great many opinions about what constitutes good visual practice. Manual Lima, in his Visual Complexity blog, has even come up with an [Information Visualisation Manifesto](http://www.visualcomplexity.com/vc/blog/?p=644).\n",
    "\n",
    "Any story has a beginning, a middle, and a conclusion. The story-telling form can vary but the best and most memorable stories have compelling narratives easily retold.\n",
    "\n",
    "Throwing data at a bunch of charts in the hopes that something will stick does not promote engagement anymore than randomly plunking at an instrument produces music.\n",
    "\n",
    "Storytelling does not just happen.\n",
    "\n",
    "Sun Tzu said, \"There are not more than five musical notes, yet the combinations of these five give rise to more melodies than can ever be heard.\"\n",
    "\n",
    "These are the fundamental chart-types that form the data scientist's toolkit:\n",
    "\n",
    " - Line chart,\n",
    " - Bar chart,\n",
    " - Stacked / area variations of bar and line,\n",
    " - Bubble-charts,\n",
    " - Text charts,\n",
    " - Choropleth maps,\n",
    " - Tree maps.\n",
    "\n",
    "Plus we can use small-multiple versions of any of the above to enhance comparisons. Small multiples are simple charts placed alongside each other in a way that encourages analysis while still telling an engaging story. The axes are the same throughout and extraneous chart guides (like dividers between the charts and the vertical axes) have been removed. The simple line-chart becomes both modern and information-dense when presented in this way.\n",
    "\n",
    "There are numerous special types of charts (such as [Chernoff Faces](https://en.wikipedia.org/wiki/Chernoff_face)) but you're unlikely to have these implemented in your charting software.  \n",
    "\n",
    "Here is a simple methodology for developing a visual story:\n",
    "\n",
    " - Write a flow-chart of the narrative encapsulating each of the components in a module.\n",
    " - Each module will encapsulate a single data-driven _thought_ and the type of chart will be imposed by the data:\n",
    "   - Time-series can be presented in line charts, or by small multiples of other plots,\n",
    "   - Geospatial data invites choropleths,\n",
    "   - Complex multivariate data can be presented in tree maps.\n",
    " - In all matters, be led by the data and by good sense.\n",
    " - Arrange those modules in a series of illustrations.\n",
    " - Revise and edit according to the rules in the previous points.\n",
    "\n",
    "Writing a narrative dashboard with multiple charts can be guided by George Orwell's rules from [_Politics and the English Language_](http://www.orwell.ru/library/essays/politics/english/e_polit/):\n",
    "\n",
    "<div class=\"alert alert-block alert-warning\">\n",
    "<ol>\n",
    "    <li>Never use a pie chart; use a table instead.</li>\n",
    "    <li>Never use a complicated chart where a simple one will do.</li>\n",
    "    <li>Never clutter your data with unnecessary grids, ticks, labels or detail.</li>\n",
    "    <li>If it is possible to remove a chart without taking away from your story, always remove it.</li>\n",
    "    <li>Never mislead your reader through confusing or ambiguous axes or visualisations.</li>\n",
    "    <li>Break any of these rules sooner than draw anything outright barbarous.</li>\n",
    "<ol>\n",
    "</div>\n",
    "\n",
    "### 5.2.2 Telling the story of an epidemic in Yemen\n",
    "\n",
    "We have covered a great deal in this first lesson and now we come to the final section. Before we go further, we need two new libraries. _GeoPandas_ is almost identical to Pandas, but permits us to work with geospatial data (of which, more in a moment). _Seaborn_ is similar to Matplotlib (and is a simplified wrapper around Matplotlib) but looks better, is designed for statistical data, and is simpler to use.\n",
    "\n",
    "Our first step is to improve the line chart drawn at the end of our initial exploration.  I mentioned the notion of _small multiples_ earlier, and here is our first opportunity to draw it. Notice how much can be achieved in only a few lines of code, most of which (below) is about formatting the charts themselves."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f36d044acd0>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 2160x1080 with 21 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Seaborn for plotting and styling\n",
    "import seaborn as sns\n",
    "\n",
    "# Everything you need to know about Seaborn FacetGrid\n",
    "# https://seaborn.pydata.org/generated/seaborn.FacetGrid.html#seaborn.FacetGrid\n",
    "sm = sns.FacetGrid(data_slice, col=\"Governorate\", col_wrap=5, height=3, aspect=2, margin_titles=True)\n",
    "sm = sm.map(plt.plot, \"Date\", \"Cases\")\n",
    "# And now format the plots with appropriate titles and font sizes\n",
    "# The backslash '\\' permits us to split a long line into two for better legibility\n",
    "sm.set_titles(\"{col_name}\", size=22).set_ylabels(size=20).set_yticklabels(size=15)\\\n",
    "                                    .set_xlabels(size=20).set_xticklabels(size=15, rotation=40)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notice how, even with the condensed format, it is still straightforward to understand what is happening and the overall display makes for a compelling and engaging visual.\n",
    "\n",
    "Unfortunately, unless you know Yemen well, this story is incomplete. It is difficult to see where these changes are taking place, or how each governorate is related to the others in physical space. For that we need to plot our data onto a map.\n",
    "\n",
    "There are a number of limits for publishing data on maps:\n",
    "\n",
    " - A choropleth map is really a type of bar-chart where the height of the bars is reflected by a colour gradient in 2D-space;\n",
    " - Boundaries that make up regions, districts (or governorates) are of wildly different sizes and can mislead into prioritising size over colour scale;\n",
    "\n",
    "Despite these limitations, map-based charts are useful for grounding data in a physical place. When used in combination with other charts (such as the line-charts above) one can build a complete narrative.\n",
    "\n",
    "To draw a map we need a [shapefile](http://wiki.openstreetmap.org/wiki/Shapefiles). These are a collection of several files developed according to a standard created by [Esri](https://www.esri.com/en-us/home) that contain shapes defined by geographic points, polylines or polygons, as well as additional files with metadata or attributes.\n",
    "\n",
    "HDX has exactly what we need as [_Yemen - Administrative Boundaries_](https://data.humdata.org/dataset/yemen-admin-boundaries). Download the shapefile [zip files](https://data.humdata.org/dataset/6b2656e2-b915-4671-bfed-468d5edcd80a/resource/31161a5e-2111-4967-9f1e-4fceeb38a3a1/download/yem-administrative-divisions-shapefiles.zip) to a folder and unzip all the files.\n",
    "\n",
    "Now we're going to create a GeoPandas dataframe to open the shapefile, and then join this dataframe to our existing data so that we can draw maps. You will need to install the GeoPandas library, and you will find details on how to do so below in [1.7.2 Install a local version of Anaconda and Jupyter Notebook](#1.7.2-Install-a-local-version-of-Anaconda-and-Jupyter-Notebook)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>ADM0_EN</th>\n",
       "      <th>ADM0_AR</th>\n",
       "      <th>ADM0_PCODE</th>\n",
       "      <th>ADM1_EN</th>\n",
       "      <th>ADM1_AR</th>\n",
       "      <th>ADM1_PCODE</th>\n",
       "      <th>ADM1REF_EN</th>\n",
       "      <th>ADM1ALT1AR</th>\n",
       "      <th>ADM1ALT1EN</th>\n",
       "      <th>ADM1ALT2AR</th>\n",
       "      <th>ADM1ALT2EN</th>\n",
       "      <th>date_</th>\n",
       "      <th>validOn</th>\n",
       "      <th>validTo</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Yemen</td>\n",
       "      <td>اليمن</td>\n",
       "      <td>YE</td>\n",
       "      <td>Ibb</td>\n",
       "      <td>اب</td>\n",
       "      <td>YE11</td>\n",
       "      <td>Ibb</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>2019-02-01</td>\n",
       "      <td>2019-10-02</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((44.08076 14.38973, 44.08362 14.37772...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Yemen</td>\n",
       "      <td>اليمن</td>\n",
       "      <td>YE</td>\n",
       "      <td>Abyan</td>\n",
       "      <td>ابين</td>\n",
       "      <td>YE12</td>\n",
       "      <td>Abyan</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>2019-02-01</td>\n",
       "      <td>2019-10-02</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((46.29563 14.26991, 46.29770 14.26687...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Yemen</td>\n",
       "      <td>اليمن</td>\n",
       "      <td>YE</td>\n",
       "      <td>Sana'a City</td>\n",
       "      <td>امانة العاصمه</td>\n",
       "      <td>YE13</td>\n",
       "      <td>Sanaa City</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>2019-02-01</td>\n",
       "      <td>2019-10-02</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((44.33380 15.60702, 44.35087 15.59940...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Yemen</td>\n",
       "      <td>اليمن</td>\n",
       "      <td>YE</td>\n",
       "      <td>Al Bayda</td>\n",
       "      <td>البيضاء</td>\n",
       "      <td>YE14</td>\n",
       "      <td>Al Bayda</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>2019-02-01</td>\n",
       "      <td>2019-10-02</td>\n",
       "      <td>None</td>\n",
       "      <td>MULTIPOLYGON (((44.72676 14.15240, 44.72637 14...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Yemen</td>\n",
       "      <td>اليمن</td>\n",
       "      <td>YE</td>\n",
       "      <td>Ta'iz</td>\n",
       "      <td>تعز</td>\n",
       "      <td>YE15</td>\n",
       "      <td>Taiz</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>2019-02-01</td>\n",
       "      <td>2019-10-02</td>\n",
       "      <td>None</td>\n",
       "      <td>MULTIPOLYGON (((43.41111 12.67158, 43.41124 12...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  ADM0_EN ADM0_AR ADM0_PCODE      ADM1_EN        ADM1_AR ADM1_PCODE  \\\n",
       "0   Yemen   اليمن         YE          Ibb             اب       YE11   \n",
       "1   Yemen   اليمن         YE        Abyan           ابين       YE12   \n",
       "2   Yemen   اليمن         YE  Sana'a City  امانة العاصمه       YE13   \n",
       "3   Yemen   اليمن         YE     Al Bayda        البيضاء       YE14   \n",
       "4   Yemen   اليمن         YE        Ta'iz            تعز       YE15   \n",
       "\n",
       "   ADM1REF_EN ADM1ALT1AR ADM1ALT1EN ADM1ALT2AR ADM1ALT2EN       date_  \\\n",
       "0         Ibb       None       None       None       None  2019-02-01   \n",
       "1       Abyan       None       None       None       None  2019-02-01   \n",
       "2  Sanaa City       None       None       None       None  2019-02-01   \n",
       "3    Al Bayda       None       None       None       None  2019-02-01   \n",
       "4        Taiz       None       None       None       None  2019-02-01   \n",
       "\n",
       "      validOn validTo                                           geometry  \n",
       "0  2019-10-02    None  POLYGON ((44.08076 14.38973, 44.08362 14.37772...  \n",
       "1  2019-10-02    None  POLYGON ((46.29563 14.26991, 46.29770 14.26687...  \n",
       "2  2019-10-02    None  POLYGON ((44.33380 15.60702, 44.35087 15.59940...  \n",
       "3  2019-10-02    None  MULTIPOLYGON (((44.72676 14.15240, 44.72637 14...  \n",
       "4  2019-10-02    None  MULTIPOLYGON (((43.41111 12.67158, 43.41124 12...  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Import our GeoPandas library\n",
    "import geopandas as gpd\n",
    "# Open the shapefile called \"yem_admbnda_adm1_govyem_cso_20191002.shp\" and note that - if you're \n",
    "# doing this on your home computer, you'll need to load the file from where-ever you saved it.\n",
    "# While you only need to load this file here, the other file data needed are cross-referenced, \n",
    "# so make sure to unzip all the files.\n",
    "shape_data = gpd.GeoDataFrame.from_file(\"data/yem_admbnda_adm1_govyem_cso_20191002.shp\")\n",
    "# You can list your shape_data exactly like a regular dataframe\n",
    "shape_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We can also draw this boundary on a map so you can see what we have\n",
    "# The 'geometry' column above has the coordinate data we need\n",
    "# The 'contextily' library allows us to draw on a map\n",
    "import contextily as ctx\n",
    "# We need to change the map projection so that it will fit the same\n",
    "# coordinate system - this is beyond the requirements of this class,\n",
    "# but read up on projection systems if you're interested.\n",
    "shape_data.to_crs(epsg=3857, inplace=True)\n",
    "# and create the chart axes\n",
    "ax = shape_data[\"geometry\"].plot(color=\"darkred\", alpha=0.25, figsize=(12,12))\n",
    "ctx.add_basemap(ax, source=ctx.providers.CartoDB.Positron)\n",
    "ax.set_axis_off()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "At this late stage, a new complexity emerges. Since this case study was written, accepted spellings and names for the regions have changed. We can see this if we look for differences between the two dataframes we need to merge."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[\"Al Dhale'e\", 'Al Hudaydah', 'Amanat Al Asimah', 'Hadramaut', 'Marib', \"Sa'ada\", 'Taizz']\n",
      "[\"Ad Dali'\", 'Al Hodeidah', 'Hadramawt', \"Ma'rib\", \"Sa'dah\", \"Sana'a City\", 'Socotra', \"Ta'iz\"]\n"
     ]
    }
   ],
   "source": [
    "map_governorates = shape_data.ADM1_EN.unique()\n",
    "data_governorates = data_slice.Governorate.unique()\n",
    "name_list = list(set(data_governorates) - set(map_governorates))\n",
    "name_list.sort()\n",
    "print(name_list)\n",
    "name_list = list(set(map_governorates) - set(data_governorates))\n",
    "name_list.sort()\n",
    "print(name_list)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should see that the names are mostly subtle spelling differences, except for one. \"Sana'a City\" is separate from the Sanaa Governorate, forming the \"Amanat Al Asemah\" governorate. In the map geometry file it is listed as \"Sana'a City\".\n",
    "\n",
    "So ... we need to rename everything again."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "fix = {\"Ad Dali'\": [\"Al Dhale'e\"],\n",
    "       \"Al Hodeidah\": [\"Al Hudaydah\"], \n",
    "       \"Hadramawt\": [\"Hadramaut\"], \n",
    "       \"Ma'rib\": [\"Marib\"], \n",
    "       \"Sa'dah\": [\"Sa'ada\"],\n",
    "       \"Sana'a City\": [\"Amanat Al Asimah\"], \n",
    "       \"Ta'iz\": [\"Taizz\"]\n",
    "      }\n",
    "data_slice = fix_governorates(data_slice, fix).sort_values(\"Attack Rate (per 1000)\", ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we can draw it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1800x1008 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We have no data for Socotra island, so we can drop this row\n",
    "# It's name is listed in the ADM1_EN column\n",
    "shape_data = shape_data.loc[~shape_data.ADM1_EN.isin([\"Socotra\"])]\n",
    "# And now we can merge our existing data_slice to produce our map data\n",
    "map_data = pd.merge(shape_data, data_slice, how=\"outer\", left_on=\"ADM1_EN\", right_on=\"Governorate\", indicator=False)\n",
    "\n",
    "# Let's draw a map\n",
    "\n",
    "# First, define a figure, axis and plot size\n",
    "fig, ax = plt.subplots(figsize=(25,14))\n",
    "# We'll look at one specific date, the last entry in the series\n",
    "md = map_data.loc[map_data.Date == \"2018-02-18\"]\n",
    "# And plot - note that 'cmap' is simply a colour gradient used in the visualisation - we're using OrRd, orange-red\n",
    "md.plot(ax=ax, column='Cases', cmap='OrRd')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And here we hit a fundamental limit of a map ... it would be nice to show a time-series of how events progressed.\n",
    "\n",
    "Well, remember the small multiple ... So, to end this lesson, here's what a small multiple map looks like."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x720 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# This is a bit more complex than you may expect ... but think of it like this:\n",
    "# We're going to create a figure and then iterate over the time-series to progressively\n",
    "# add in new subplots. Since there are 125 dates - and that's rather a lot - we'll\n",
    "# deliberately limit this to the first date in each month, and the final date.\n",
    "\n",
    "# Create a datetime format data series\n",
    "date_list = pd.Series([pd.Timestamp(d) for d in map_data[\"Date\"].unique()])\n",
    "# Sort dates in place\n",
    "date_list.sort_values(inplace = True)\n",
    "dl = {}\n",
    "for d in date_list:\n",
    "    # A mechanism to get the last day of each year-month\n",
    "    k = \"{}-{}\".format(d.year, d.month)\n",
    "    dl[k] = d\n",
    "# Recover and sort the unique list of dates\n",
    "date_list = list(dl.values())\n",
    "date_list.sort()\n",
    "\n",
    "# Create our figure\n",
    "fig = plt.figure(figsize=(18, 10))\n",
    "# Set two check_sums, first_date and sub_count\n",
    "first_date = 0\n",
    "sub_count = 1\n",
    "# Loop through the dates, using \"enumerate\" to count the number of times we loop\n",
    "for i, d in enumerate(date_list):\n",
    "    # Convert the Numpy time format to a simpler Python format\n",
    "    check_date = pd.Timestamp(d).to_pydatetime()\n",
    "    # Check if we've seen this month before\n",
    "    if check_date.month == first_date:\n",
    "        # If we have, check if it's the last value in the loop\n",
    "        if i < len(date_list)-1:\n",
    "            # And skip the rest of this loop\n",
    "            continue\n",
    "    # Store the month we've just reached\n",
    "    first_date = check_date.month\n",
    "    # Get a dataframe for the subplot at this date\n",
    "    subplot = map_data.loc[map_data.Date == pd.Timestamp(d)]\n",
    "    # Add the appropriate subplot in a frame structured as 3 items in 4 rows \n",
    "    # (there are 10 time periods but we need a square coordinate grid)\n",
    "    ax = fig.add_subplot(3, 4, sub_count)\n",
    "    # Increment the count\n",
    "    sub_count+=1\n",
    "    # Do some visual fixes to ensure we don't distort the maps, and provide titles\n",
    "    ax.set_aspect('equal')\n",
    "    ax.set_axis_off()\n",
    "    ax.title.set_text(pd.Timestamp(d).date())\n",
    "    # And plot\n",
    "    subplot.plot(ax=ax, column='Cases', cmap='OrRd')"
   ]
  },
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    "The two small-multiples - the line charts and the choropleth - permit us to answer our research question: _there is an increasing incidence and prevalence of cholera in Yemen, with the rate of increase occuring both in scale and in geographic range. The challenge for any aid response will not only be in addressing the scale of the problem, but also in distributing care over an increasingly large physical area._\n",
    "\n",
    "The visualisations themselves, along with the source data, are all part of our answer to our question.\n",
    "\n",
    "---\n",
    "\n",
    "That brings us to the end of this lesson. You can play around with the code, pick a different column to visualise (perhaps \"Deaths\"), and can learn more in the libraries about how to present these charts."
   ]
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   "source": [
    "### 5.3 Lesson tutorial\n",
    "\n",
    "<div class=\"alert alert-block alert-success\">\n",
    "    <p><b>Tutorial:</b></p>\n",
    "    <p>The World Bank has a comprehensive open data website. A population series on <a href=\"https://data.worldbank.org/indicator/SP.DYN.CBRT.INhttps://data.worldbank.org/indicator/SP.DYN.CBRT.IN\">Crude Birth Rate</a> has data for every UN member-state. Go through the same process as in this lesson and tell a story. If you want to create a world map, you'll find help in the documentation for GeoPandas guiding you to source the necessary shapes.</p>\n",
    "    <p>Numerous governments and international agencies run their own open data portals. Explore them for data and see what stories you can find:</p>\n",
    "    <ul>\n",
    "        <li><a href=\"https://data.gov.uk/\">Data.gov.uk</a></li>\n",
    "        <li><a href=\"https://www.data.govt.nz/\">Data.govt.nz</a></li>\n",
    "        <li><a href=\"http://opendata.go.tz/\">Opendata.go.tz</a></li>\n",
    "        <li><a href=\"https://datos.gob.mx/\">Datos.gob.mx</a></li>\n",
    "        <li><a href=\"http://www.who.int/gho/database/en/\">WHO.int</a></li>\n",
    "    </ul>\n",
    "    <p>There are a host of online tutorials and resources that will deepen your knowledge of the topics discussed in this lesson, and you can probably find these yourself.</p>\n",
    "</div>"
   ]
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   "source": [
    "# References\n",
    "\n",
    "(<a id=\"cit-mckinney_python_2013\" href=\"#call-mckinney_python_2013\">McKinney, 2013</a>) Wes McKinney, ``_Python for Data Analysis_'',  2013.  [online](http://wesmckinney.com/)\n",
    "\n",
    "(<a id=\"cit-dicker_principles_2012\" href=\"#call-dicker_principles_2012\">Dicker, Coronado <em>et al.</em>, 2012</a>) Richard Dicker, Fátima Coronado, Denise Koo <em>et al.</em>, ``_Principles of Epidemiology in Public Health Practice: An Introduction to Applied Epidemiology and Biostatistics_'',  2012.  [online](https://www.cdc.gov/ophss/csels/dsepd/ss1978/)\n",
    "\n",
    "(<a id=\"cit-tufte_beautiful_2006\" href=\"#call-tufte_beautiful_2006\">Tufte, 2006</a>) Edward Tufte, ``_Beautiful Evidence_'',  2006.  [online](https://www.edwardtufte.com/tufte/books_be)\n",
    "\n",
    "    \n",
    "The documentation for the libraries we use are also a critical resource and familiarising yourself with how to read and use these will repay itself massively:\n",
    "\n",
    " - [Anaconda](https://docs.anaconda.com/)\n",
    " - [Jupyter Notebook](http://jupyter.org/documentation.html)\n",
    " - [Pandas](https://pandas.pydata.org/pandas-docs/stable/)\n",
    " - [Numpy](https://docs.scipy.org/doc/numpy-1.13.0/user/)\n",
    " - [Matplotlib](https://matplotlib.org/contents.html)\n",
    " - [GeoPandas](http://geopandas.org/)\n",
    " - [Seaborn](https://seaborn.pydata.org/tutorial.html)    "
   ]
  }
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