{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Case Study: Unusual Deaths in Mexico\n",
    "\n",
    "> The following case study illustrates how tidy data and tidy tools make data analysis easier by easing the transitions between manipulation, visualisation and modelling. You will not see any code that exists solely to get the output of one function into the right format to input to another.\n",
    "\n",
    "> The case study uses individual-level mortality data from Mexico. The goal is to find causes of death with unusual temporal patterns within a day."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## \"Housekeeping\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext lab_black"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/webartifex/repos/tidy-data/.venv/lib/python3.7/site-packages/rpy2/robjects/pandas2ri.py:11: FutureWarning: pandas.core.index is deprecated and will be removed in a future version.  The public classes are available in the top-level namespace.\n",
      "  from pandas.core.index import Index as PandasIndex\n"
     ]
    }
   ],
   "source": [
    "import math\n",
    "import textwrap\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from matplotlib import pyplot as plt\n",
    "from rpy2 import robjects  # leads to a FutureWarning that can be safely ignored\n",
    "from rpy2.robjects import pandas2ri\n",
    "from sklearn.linear_model import HuberRegressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.set()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load the Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "deaths = pandas2ri.ri2py(robjects.r[\"readRDS\"](\"data/deaths.rds\"))\n",
    "deaths = deaths[(deaths[\"yod\"] == 2008) & (deaths[\"mod\"] != 0) & (deaths[\"dod\"] != 0)]\n",
    "deaths = deaths[~(deaths[\"hod\"] < 0)]\n",
    "deaths = deaths.reset_index(drop=True)\n",
    "\n",
    "assert set(deaths[\"hod\"].unique()) <= set(range(24))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(502520, 5)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deaths.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>yod</th>\n",
       "      <th>mod</th>\n",
       "      <th>dod</th>\n",
       "      <th>hod</th>\n",
       "      <th>cod</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2008</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>B20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2008</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>B22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2008</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>C18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2008</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>C34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2008</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>C50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    yod  mod  dod  hod  cod\n",
       "0  2008    1    1    1  B20\n",
       "1  2008    1    1    1  B22\n",
       "2  2008    1    1    1  C18\n",
       "3  2008    1    1    1  C34\n",
       "4  2008    1    1    1  C50"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deaths.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# The file contains 7 duplicates that are discarded.\n",
    "codes = pd.read_csv(\"data/icd-main.csv\")\n",
    "codes = codes[(codes[\"code\"] != codes[\"code\"].shift())].set_index(\"code\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1851, 1)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codes.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "        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>disease</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>code</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A00</th>\n",
       "      <td>Cholera</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A01</th>\n",
       "      <td>Typhoid and paratyphoid fevers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A02</th>\n",
       "      <td>Other salmonella infections</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A03</th>\n",
       "      <td>Shigellosis</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A04</th>\n",
       "      <td>Other bacterial intestinal infections</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    disease\n",
       "code                                       \n",
       "A00                                 Cholera\n",
       "A01          Typhoid and paratyphoid fevers\n",
       "A02             Other salmonella infections\n",
       "A03                             Shigellosis\n",
       "A04   Other bacterial intestinal infections"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codes.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Counts\n",
    "\n",
    "Count the number of deaths by `\"hod\"` (=\"hour of the day\") and `\"cod\"` (=\"cause of death\"), and also join in the more descriptive labels for the various causes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hod</th>\n",
       "      <th>cod</th>\n",
       "      <th>freq</th>\n",
       "      <th>disease</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>A01</td>\n",
       "      <td>3</td>\n",
       "      <td>Typhoid and paratyphoid fevers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>A02</td>\n",
       "      <td>3</td>\n",
       "      <td>Other salmonella infections</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>A04</td>\n",
       "      <td>7</td>\n",
       "      <td>Other bacterial intestinal infections</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>A05</td>\n",
       "      <td>1</td>\n",
       "      <td>Other bacterial foodborne intoxications, not e...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>A06</td>\n",
       "      <td>2</td>\n",
       "      <td>Amebiasis</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   hod  cod  freq                                            disease\n",
       "0    1  A01     3                     Typhoid and paratyphoid fevers\n",
       "1    1  A02     3                        Other salmonella infections\n",
       "2    1  A04     7              Other bacterial intestinal infections\n",
       "3    1  A05     1  Other bacterial foodborne intoxications, not e...\n",
       "4    1  A06     2                                          Amebiasis"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "counts = (\n",
    "    pd.DataFrame(deaths.groupby([\"hod\", \"cod\"]).size(), columns=[\"freq\"])\n",
    "    .reset_index()\n",
    "    .join(codes, on=\"cod\")\n",
    ")\n",
    "# This is to ensure that no duplicates are created\n",
    "# because of duplicate entries in the codes DataFrame.\n",
    "assert counts[\"cod\"].value_counts().max() <= 24\n",
    "\n",
    "# Keep only causes where a death happened in every hour.\n",
    "counts = counts[counts[\"cod\"].isin(list((counts[\"cod\"].value_counts() == 24).index))]\n",
    "\n",
    "counts.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Add a `\"prop\"` (=\"proportion\") column indicating the relative frequency of a given cause of death on an hourly basis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hod</th>\n",
       "      <th>cod</th>\n",
       "      <th>freq</th>\n",
       "      <th>disease</th>\n",
       "      <th>prop</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>A01</td>\n",
       "      <td>3</td>\n",
       "      <td>Typhoid and paratyphoid fevers</td>\n",
       "      <td>0.062500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>A02</td>\n",
       "      <td>3</td>\n",
       "      <td>Other salmonella infections</td>\n",
       "      <td>0.048387</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>A04</td>\n",
       "      <td>7</td>\n",
       "      <td>Other bacterial intestinal infections</td>\n",
       "      <td>0.051095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>A05</td>\n",
       "      <td>1</td>\n",
       "      <td>Other bacterial foodborne intoxications, not e...</td>\n",
       "      <td>0.050000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>A06</td>\n",
       "      <td>2</td>\n",
       "      <td>Amebiasis</td>\n",
       "      <td>0.024390</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   hod  cod  freq                                            disease      prop\n",
       "0    1  A01     3                     Typhoid and paratyphoid fevers  0.062500\n",
       "1    1  A02     3                        Other salmonella infections  0.048387\n",
       "2    1  A04     7              Other bacterial intestinal infections  0.051095\n",
       "3    1  A05     1  Other bacterial foodborne intoxications, not e...  0.050000\n",
       "4    1  A06     2                                          Amebiasis  0.024390"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "counts = counts.set_index(\"cod\")\n",
    "counts[\"prop\"] = counts[\"freq\"] / deaths.groupby([\"cod\"]).size().reindex(counts.index)\n",
    "counts = counts.reset_index()\n",
    "# Re-order the columns as in the paper.\n",
    "counts = counts[[\"hod\", \"cod\", \"freq\", \"disease\", \"prop\"]]\n",
    "\n",
    "counts.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Add `\"freq_all\"` and `\"prop_all\"` columns that show the absolute number of deaths for a given hour of day (disregarding cause of death) and the proportion of deaths for a certain hour of day with respect to the whole day."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hod</th>\n",
       "      <th>cod</th>\n",
       "      <th>freq</th>\n",
       "      <th>disease</th>\n",
       "      <th>prop</th>\n",
       "      <th>freq_all</th>\n",
       "      <th>prop_all</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>A01</td>\n",
       "      <td>3</td>\n",
       "      <td>Typhoid and paratyphoid fevers</td>\n",
       "      <td>0.062500</td>\n",
       "      <td>20038</td>\n",
       "      <td>0.039875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>A02</td>\n",
       "      <td>3</td>\n",
       "      <td>Other salmonella infections</td>\n",
       "      <td>0.048387</td>\n",
       "      <td>20038</td>\n",
       "      <td>0.039875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>A04</td>\n",
       "      <td>7</td>\n",
       "      <td>Other bacterial intestinal infections</td>\n",
       "      <td>0.051095</td>\n",
       "      <td>20038</td>\n",
       "      <td>0.039875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>A05</td>\n",
       "      <td>1</td>\n",
       "      <td>Other bacterial foodborne intoxications, not e...</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>20038</td>\n",
       "      <td>0.039875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>A06</td>\n",
       "      <td>2</td>\n",
       "      <td>Amebiasis</td>\n",
       "      <td>0.024390</td>\n",
       "      <td>20038</td>\n",
       "      <td>0.039875</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   hod  cod  freq                                            disease  \\\n",
       "0    1  A01     3                     Typhoid and paratyphoid fevers   \n",
       "1    1  A02     3                        Other salmonella infections   \n",
       "2    1  A04     7              Other bacterial intestinal infections   \n",
       "3    1  A05     1  Other bacterial foodborne intoxications, not e...   \n",
       "4    1  A06     2                                          Amebiasis   \n",
       "\n",
       "       prop  freq_all  prop_all  \n",
       "0  0.062500     20038  0.039875  \n",
       "1  0.048387     20038  0.039875  \n",
       "2  0.051095     20038  0.039875  \n",
       "3  0.050000     20038  0.039875  \n",
       "4  0.024390     20038  0.039875  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "counts = counts.set_index(\"hod\")\n",
    "counts[\"freq_all\"] = deaths.groupby(\"hod\").size()\n",
    "counts[\"prop_all\"] = counts[\"freq_all\"] / deaths.shape[0]\n",
    "counts = counts.reset_index()\n",
    "\n",
    "counts.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Distance between temporal Patterns\n",
    "\n",
    "> Next we compute a distance between the temporal pattern of each cause of death and the overall temporal pattern. There are many ways to measure this distance, but I found a simple mean squared deviation to be revealing. We also record the sample size, the total number of deaths from that cause. To ensure that the diseases we consider are sufficiently representative we’ll only work with diseases with more than 50 total deaths (∼2/hour)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\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>disease</th>\n",
       "      <th>n</th>\n",
       "      <th>dist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A02</th>\n",
       "      <td>Other salmonella infections</td>\n",
       "      <td>62</td>\n",
       "      <td>0.000738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A04</th>\n",
       "      <td>Other bacterial intestinal infections</td>\n",
       "      <td>137</td>\n",
       "      <td>0.000208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A06</th>\n",
       "      <td>Amebiasis</td>\n",
       "      <td>82</td>\n",
       "      <td>0.000405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A09</th>\n",
       "      <td>Diarrhea and gastroenteritis of infectious origin</td>\n",
       "      <td>3016</td>\n",
       "      <td>0.000028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A16</th>\n",
       "      <td>Respiratory tuberculosis, not confirmed bacter...</td>\n",
       "      <td>1642</td>\n",
       "      <td>0.000029</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               disease     n      dist\n",
       "A02                        Other salmonella infections    62  0.000738\n",
       "A04              Other bacterial intestinal infections   137  0.000208\n",
       "A06                                          Amebiasis    82  0.000405\n",
       "A09  Diarrhea and gastroenteritis of infectious origin  3016  0.000028\n",
       "A16  Respiratory tuberculosis, not confirmed bacter...  1642  0.000029"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "devi = (\n",
    "    codes.join(deaths.groupby(\"cod\").count()[\"yod\"].to_frame(), how=\"inner\")\n",
    "    .join(\n",
    "        counts.groupby(\"cod\")\n",
    "        .apply(lambda x: ((x[\"prop\"] - x[\"prop_all\"]) ** 2).mean())\n",
    "        .to_frame(),\n",
    "        how=\"inner\",\n",
    "    )\n",
    "    .rename(columns={\"yod\": \"n\", 0: \"dist\"})\n",
    ")\n",
    "devi = devi[(devi[\"n\"] > 50)]\n",
    "\n",
    "devi.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot `\"dist\"` vs. `\"n\"`. Not a whole lot can be seen here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='n', ylabel='dist'>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 288x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(figsize=(4, 4))\n",
    "ax.set_xlim(0, 50000)\n",
    "ax.set_ylim(0, 0.006)\n",
    "sns.regplot(x=\"n\", y=\"dist\", data=devi, ax=ax, fit_reg=False, scatter_kws={\"s\": 1})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The relationship becomes more obvious if one plots the same points on a `\"log\"`-`\"log\"` scale."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='n', ylabel='dist'>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 288x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(figsize=(4, 4))\n",
    "ax.set_xscale(\"log\")\n",
    "ax.set_yscale(\"log\")\n",
    "ax.set_xlim(30, 150000)\n",
    "ax.set_ylim(0.00001, 0.1)\n",
    "sns.regplot(\"n\", \"dist\", data=devi, ax=ax, fit_reg=False, scatter_kws={\"s\": 1})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> We are interested in points that have high y-values, relative to their x-neighbours. Controlling for the number of deaths, these points represent the diseases which depart the most from the overall pattern. To find these unusual points, we fit a robust linear model and plot the residuals, Figure 3. The plot shows an empty region around a residual of 1.5. So somewhat arbitrarily, we’ll select those diseases with a residual greater than 1.5."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Note that the HuberRegressor is not the exact\n",
    "# same method as in the paper but close.\n",
    "X = np.log(devi[\"n\"]).values[:, np.newaxis]\n",
    "y = np.log(devi[\"dist\"]).values\n",
    "rlm = HuberRegressor()\n",
    "rlm.fit(X, y)\n",
    "devi[\"residuals\"] = y - rlm.predict(X)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the threshold for \"unusual\" deaths, set arbitrarily at 1.5."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.LineCollection at 0x7f5528c90550>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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/ZrgFHW12xewSgiZT4ETrBoPaEb19v23bNrZ4/oULFzB//nwsWLCA/Vk0ILTdzu8iwXwv9WBpuFC6vlEkE0iaBhE8ooXojTfeQO/evQEAq1evRl5eHsaMGYOXXnopZMaFG7ETmBGsto7A82i4oid3vhFNpsCh1kXKIHr7vqWlBampqbh16xaOHDmC3//+94iJicG4ceNCaV9YEbvd7itGJHZZxF0CAJB1OUDHQIhIQ7QQpaSk4NKlSzh79izy8vIQGxuLjo4ORNPuv9gJ7CtGJDbG4E30wunBUByJUBOihWjp0qV46KGHYDAY8PrrrwMADhw4gKFDh4bMOLXCjRHxhUisV8UXvXB7MHzBDESYSMwIuZDUYHHmzJkAuqszAsDdd9+NNWvWhMayCCVSlkV8wQxkt4h2mAi5kFQ8326346uvvkJjYyMWL16M27dvR9XSTAxcL0BpgvFI+IIZyHGUaD3CQoQf0btmhw8fxowZM1BaWoo//vGPAIBLly7hxRdfDJVtqkRNW+Ny2hLIbhHtMBFyIdoj+t3vfoc33ngD48ePx7333gsAuOuuu/Dtt9+GzDg1oiYvQE22aBWKk8mDaI/oypUrGD9+PACwZ86MRiOcTmdoLFMAoXwe7s/JCyC4qMlDjmREe0SDBw/Gvn37MGnSJPZnBw4cwB133BESw8JNu92BDXvOoeJMAwD34CvzZrvlcKKH0aCaTz+5g8X06S4d8krlQVKDxaVLl+JHP/oR7HY7Vq5cid27d7PxIjm4ePEiVqxYgdbWViQlJWHVqlXIzMx0u+att97CRx99hPT0dADAPffcgxdeeCHoZx+rasKRykaMHpru8aZivu90OFW1SyQ0CQIVlHDsgkmxLRKEMVJ2SdWOKCFyOp146qmn8OWXX+LTTz/Fww8/DIvFgr/97W/o27evbMa88MILmDdvHgoLC7F161asXLkS//u//+txXVFREZYvXy7bcwH3Sc1/0zNvtqbWDlyqv4Eca1JQz5JrgglNgkAFJRyf7lJso/QA7SBKiAwGA+uZLF68OCSGNDc349SpU/jggw8AALNmzcIrr7yClpaWsNTFFvPJVlnTiiOVjcjun4TUpPiAnxXqCRaooITj012KbWKujQSvifCP6KXZ7Nmz8fTTT+Pxxx/38IKYIHYw2Gw2mM1mtkuIwWBAeno6bDabhxB99tln2L9/P9LS0vDcc89h5MiRkp4VaMvpgvFxSEyMc2vpHG+Kk9zm2dt95EZqC2mpBNOCWIpt/q7dXXEZG/acQ2JiHKaMHhCwTWKhltOhQbQQffzxxwC6YzRcdDoddu3aJa9VPigpKcHTTz8No9GI8vJyLF26FNu3b5dUO1tKqVj+J27ewGR0tNnR0WZHWlovlH19MaA2z8x9mptuhOwTPVTegppKpg42m/BI/hAMNptCbpOaxh1OFC8Vy4XfSkhuLBYL6uvr4XQ6YTAY4HQ60dDQAIvFfXKnpaWxX0+YMAEWiwVVVVUYM2ZMSOzyt4ySugzii0Mol2mRFmMJRDgpWBwdiM4jCjV9+vRBbm4utm3bBqC7EFtubq7Hsqy+vp79+vTp07hy5QoGDRoUMruEavu02x3YXXEZAATzirzlJfHzTrj3D6YukbfXRlpdIsrJ0S6SzpqFmhdffBErVqzAH//4RyQmJmLVqlUA4NZyes2aNTh58iT0ej2MRiNWr17t5iWFinb7bQ9PZsOec3gkf4jgJ7I3jyTHmoRROWnszhv3E53pJsu9XizeniXVW1A68Es5OdqF2gn5gRGHUTlpOFLZyLacbrc7cL6+DYPNJsFJy0zsHGsSKmtaMTI7lRUMbutq/vWBCEGgr+W+jrFtzv1ZPhM3xcYMlBY2uVFjjCgcf2NVxYi0CvPpnGNNwkBzL9xyONmjHlNGD8ClmhaUn7C5vRG4b44JeRY3T8fXp74vD8bfGy7QWAnXk5I7cZN/72AmTLSJmlxEWhxQCBIiP3AneKzRgE92VbHewu6Ky6i7eh2b91/ELYcTU+7pD8DzzcFPlgzEE2Lu2enoPtvnAjBumDmoSdlud6DT4cSc+7PcbGu3OxD7/Ri92SgW7riDPSYTLRNObqJlOUtCJAH+xNqw5xzysvpABx10vOtuOZzo5HhPviaPGM+BefYthxMb95yHCy70MBqC9lg27b2AkqnZbs/yZi/XRrF5QNz7BOttRcuEk5to2TUkIRIBf6kFdC/V7hthwX25ZuQOTHabIAlxRvT43nuKFSEW3jwHwH2icr0VHbo9omAnpdxZzgzePDxf3pYY+BOOlmrRBQmRCLyJQ2VNKw58a0P/Pj3ZCcaNFUmZuN48B6FlUUKcEfn39HcLhJ+40BzQUk3Kpyn32rYOh0dcjIuvZZRcn+C0VIsuSIh4ePukFeq4kZgYh8Hm7l2Afcdt+L+959HWPhjTxw6QFHjmf+9rWcT8jvnZqJw0HDrVIMtSTSyHT/pOMwjHMoqWatEFCREPsfk4zK5ZY+MNtNsdOHK2AbedLtTwtjm9CRv/GYdO1WPDnvPodDjdvB3mNfzcI8BzN09oqRaKJcyY4RZcv24XFIFwxC24Sz1f3hkRGZAQ8ZDyScssUTodTlxpvIn05HikJ8WzAWqgW3Q+LjuL05euISsjEeOGmT2e0elwwtnVxQa3+QXavJ365072/O9367wRzBImEuIwtESLDlRzxEMteCsFK3T0glmiuADcm5uO1hu3sP3QZbcjCjnWJFjTTag404ANe87hWFWT2zPa7Q7UNN6ETgcYjQYcq2pCxZlGZKSacKO9E+12h6SjGnxbvXlTYhE6csGMOxRHMaQecwn0GIvcbb6J4NCkR3SksgE51iTRn/JCOTDcJcq4YWZYUnqiptG9cFplTStqGtowemg6sjISPSbMoVP1qKhswL1DzRg3zAwAqKptxcGT9bjccAO9EmIxIc8ScK8xKTWU+LlCtxxOPPR9jhEX/tJMjOcUSCtuMWOWI5GTPCnl0aQQlZZXo31Uf79vQO7OVMnUbI8cGFO8+yQwJRhx/FwzcgemsJPeV+VHoHsbHgCyMhLZ3z+SP8Rn3Idvn6/AOv//vgSBOzkBYLOXHCMAHuMWM6mDacUdCgKpmrC74rLPIz1E4GhSiGZPyBS1VOGfC2tq7cD5uuvskomPtze3v/yXccPMrJfVbnfg4Kl66ACMFbEVL6ZtNP/5vgSBbz8/KVMIMcs/sRM/XAl6Up8j5pAzETiaFKJROek+D70yE3pAusltgjHLnIrKBlxtacczxe6VIcW8uflCwD99v2HPOeigk5wI6e3eYl7jy35+UibzdykYH+f2OjHLPzkFRokgOj9dg5AXTQoRH6FiZcyJe2aCjcxORafDiZPVzSg/YcOQAcmYOLyvpInBFQL+65ijITq4C4XQ/cW2jfaXpyTGVuAHoUtMjEPewGTB60KNEvEdbroGIT8kRBA+pJpjTUJ2/yT2eyar+XzddTi7gGrbDUwc3tftQGqsnwOdXCHYfbQWG3ZX4fSldMwruKP7ze5lK17sxJO7q4eQ0I0ZbkFHm93vc0OFP+GLhLQDwh1NCtGRygZY00yorGlFjjXJ7QQ64J4s542iiYMQY9Bh3vShgNPJekrn6/6J4+eaAfwQs/EV89EB6HIBh043YHBGb8F8oEA9Dn6w3Z+n5A/m72KKN7oJkdBzQyEEUioVALQjFiloUog277uIAekm/KOqEdZ0E2obb3rdHRJ6Q6cmxePJmbmIjzei7OtajMxORazRgH9UNbk1aGQCnEIxn7HDzKisaUVFZQNuOYRbd3M9DimT3FcRNl/jY1Bjo8Zg42CEOtGkELnggjWtJ2IMOlScafDa3RXw/4Y+fNKGj8vOoqq2FbPGZ2JuwR1u58fa2h24e0gqBvXtJRgczrEm4fi5ZvQwdrdR8jf5pUxyfwdo/Y0vUEEJpRCIuXegwk0oh6qESEzLaafTiVdffRX79u2DTqfDkiVLUFxcLOk5D47LRIfdgVnjM9kYEP9NKuYNPGa4BUdOXcWRykYMMPdixQTonsRb9l+ECy7kZfURvEdeVh9cqr+BvKw+Xo938G1qa+/EXUNSRaUfiDlAG2xOj5iUATkRe2/GrlsOJzbvvQCAlmlqRlVHPJiW01988QXmzZuHlStXelxTWlqKy5cvY+fOnVi/fj3eeust1NbWSnpOD6Mem/ZeQGVNq9tRCyblnxEE5hhDu92BPUdrsftoLfv78hM2AN3JhyVTs6EDPLpzFE3MxOicdORYkwSPFDBb35U1rThW1YQjlY0YPbT7Nd46gGzef5G9XgrM84XiRd6uP3Sq3ueSkbFJjZ03GLt0gN/x0nEP5VGNRyS25fT27dtRXFwMvV6PlJQUFBQU4PPPP8eiRYtEP6utw+HhVXBPwMcaDW5Ltu5Yzw9VEQG4bWOPzE7FwVP1bschEuKMMCXE4h9V1Ygx6GBJScCW/dXodDgxdpiZ9SK4yYAJcd3/HMwz+csi7vY+I1RCHptQSoJQvMjb9cyYL9ffwKzxmWwDAC5qi8d4C9BLTQwlwo9qhEhsy2mbzYaMjAz2e4vFgqtXr0p6VllFLRpbOzA2z4Lc7HQAgKlXj+6Dpz1iEBsbgydmDcP9I60AgNiaf+KxGUPRI1bP/ozbMnp3xWVs2XcBE+7KQJ/UXmwb6YLxcahtvony4zaMGW6GTtf9nPP1bWybZHvnbRw+3YAhA5LR29QDBeMHwRRvRJ/UXl7bUjNlWoVaLbd1OHD4pA32zttuv/fW5pq5dsxwC05cuuZxfWycEZWXWnD45FXExxtx4FsbEhPjMNCa4taCONTtrflj89Wqm/m7LCq8E0VT7hB1XyktwKnldGhQjRCFk5njBqLD7nBrUzzcmoTCCZnYe/QK6ppuYm5BNjra7GwHjlnjB+JcSzsGpZmQmhSPvIHJMMUb0dh4A4PNJtxzRxr2HatDR0d37OnbC83QAZh6dz/079MTOdYkDDL3wvDvvTCmTfKhU/VwuYAzF1tw/FyTW+vqvIHJaG66gTIvsSqhVsuMvQ/dn+Xxe267bO61jc03oQNQOHEQe3273YFOuwMzRlsxyNwLOdYk9O/TE5becQGduZIjaMzY66u9d6AtqPl/G2+osZ1QONBUOyGxLactFgvq6uowYsQIAJ4ekhjuu7OvxxGPhDgjbC3tOHfln8ix9vZYcpy+dA0Hvuv2vJ6cmevx2kfyhwAAG2juzh/SsQmO3FPt/G4YxfmDMSKrj0fta+baj8vOYv+3dVj44DCv9Yi4+DtkC3g/zMsvou9tKZeaFM8eQ3kkf4jbuMKx/JG6YxYotNMWflQjRNyW04WFhYItp2fMmIGNGzdi2rRpaG1tRVlZGf7617/KYsOs8Zns//k7QDnWJMQYdOw1gGft5kfyhyC7fxJyrEkYYO7FHtXgn2rnfs0IQGpSPBLiYjwSIEdmp2L/t3WorPkntn1d7SaC/orUC8WQ+CLjraC90KTnnrkKNpVAaAxChCuDm2JG4Uc1QgSIazldWFiI48ePY9q0aQCAZcuWwWq1Sn6Wty6sqUnxeCR/yPfFy2J457pikN3/h4Ay4Fm7mTtRuEc1vE1Cb197S4BMiDNi4YPDsO3rajcRZK4XmjDM76pqW/FI/hC3sfDtESqFG6i4eEPu4yehRG0BeC2gyZbTOw9cwLUbt7B57wWPVtJMHIK/u/TFoUv4v70X8PD9WZg+diAAIN4Uh7KvL3osuQJ156WWAfHlTXBzkuYW3CFYJkQq3KWZHMIh1zIoklovRxqaihGFk9LyakwaYUHJ1Gy3g63tdgdblZC/PX7x6g3cdrpw8eoP/yBMgbB2uwMflVXhmzP1uOXI9npwVSzeuqD66vohJAbcpaKUMiH+YJZmlt5x2H20VrRoCkHthQhAo0LEFEZjJg8TAC4/YWOrEp640IwNe86jrd0BU4IRGX0SYDDokNm3l0ddnmNVTaiobIDLBbeOr2LgiorQZOL+fGR2KjbsOYcjlY0e1/HxVybEn0clVHpkyugB2LL7rOjaSU2tHezS0l+5Wn/PF4KWU5GNJoUIANrtt9llUF5WH/YkPpMEd/BUPVzobg90/FwzHro/C0/OGOomGNyExk6HEy50ewfCz/TeWoh7Xs1bFjB3kh08VY+DJ68Kno/z91yx1Rr9eRjc5Ep/dmz7uhp7j9tQ39KO5x4eIUpYwlW7mlAHmhSi0vJqDDCb2C32S/U33OJEANgSrjnWJAzO6A0XurOZudveY4Zb0Nx0A8eqmvwuT4TOkY3MTkVVbavHeTW+F8FcrwOg0+kxOKO35OL//MC1Lw/Jl4fR1tF9nZjOsu12BywpPTGkXyJqGm7iWFWTqFrh/NIsRHSjSSG6MysF9+aks1vseVl93GIpgOcn7MY953Gh7jqOn2tiBcsUb0SZyE9u7jky/nOYWA63OH9VbSv2Hu8+z8bdsh87zCy5dzwjdhVnGpDdP0mwcaSYA7HtdgfW//0c9v+jzu+YmXtu+7oaD92fBaC7Dra/GtjHqpo88prUCOUbyYcmhei7Cy1INvVwCwz7il240F06pH9aT4+kQ7F9w5jXMF6VUO4PIzLM/fhb9oEsQbwFrn3Z6OuaY1VNKD9eh1E5aaIOzjLBf+Z83Se7qtjW2EITOZh4D78lUiiFggLk8qFJIZo9IRPXbtwS9SZqtzugQ/eRjBHfx5K48AvH+6svzaQHeHsuV2QS4oweGdzBIEbAxCRDchMaxWRTc1sS8QVGaCIHE+8RSh4V2zpKimhRgFw+NClEo3LS0dbeyXpE3uDXsymZmo3KmlavJ+K5/+dPLqE+9gPSTdhztBYuwC3WInZCBLLjJRZfn/RSisj7S5zkeolS+tf7Gp+/5FEhAvFuKEAuH5oUIsCzit+hU/VuosC8MR+6P8tjJ4v5mgnacieEP2FiPCgAOHSqAa7vWyz24JxJE5oQ/K1+ZreNnzkd7JLB33EMfjshIfxNVDFeojf8CSX3Z4F2LCHCi2aFiAu/3hC3kwf/U5e7dImNM3rsRvnL3eF6AUw3V6aomrfr+HYy1+VYk2BNN6HiTKNbAJp/DyHvwZdX4e84Br+dkDekxGqkikAoRIO8G2XRpBAdqWxwS2jk5gH9sJV9G1W1rW7XMZOLOa3++IO5GJWT5rEbxYX/Bud+z3TtaLc74ALQ+X01RDFF4Y9VNaGmoc1rPhH3GULeRiBeE/McfjshLvy/UVVtKwaYe/ks1ypVBEg0og9VlYoNF6Xl1W6lTRPiuvuVTbmnPys6TBLetq+r2euYyetCd/nR+0da8Uj+ELZovlDJUX4ZWm/XXK6/gU17L/gsucpMQCbwO7fgDo9lGZ+R2alekyTF7vZ5e76v4mHcvxEj0mLKtTL4KtsqpaQrlX+NLDTpEU0fMwDXbtix52itYCIityQIA3+5Zoo3okOi9wF47uQcq2oS7CbCrxLArRbAeEa+gryMaPGvq6xpZZMr/YmZFLh/o3HDzILNCYQIJts70GtDAeUYSUOTQhRr1GPL/otscTRvjQ2Z3mX8rexAul7428kRikcBP0wopkoA838GMZONW4+bGSs3o1toWcmFK4gnLl0T3L4PNFjM4Cv+IyU2FIjHJydKC2GkoUkhGpaZgtHfLxuEaqAwRyxSevXA9kOXccvh9HuqXkio/E1OXwLHDW4zRdf4iYn+JiaTkMkdKz/J0dvOIReuIB6ramIrNPp6TSD4+ltIiQ3x87vCDe3CSUOTQgQAWRm9MTijt+AhVSZGNKRfb+igY0/V83eDQg138jETylfipDeYc3P+gtr8nUMuXEEcNawvW6HR12uURGkhCDSgrtUlnSaF6FR1i1vGrzeY2NDUe/rjckOb17wgX90rQvWG4u9KAf5df7HVFjsdTtxyONHp5TwY9x652elobLzhdbdRLUTqzppWl3SaFKJhmSl+d3GYGBEAWM0/tFLhftLya1ZzCdUbirnvXUP6uPVRA4ITP2bnkAm4+6sxxH2NVgnFh43SnpxSqEKIOjo68Ktf/QonT56EwWDA8uXLkZ+f73HdoUOHsGTJErYNdWxsLDZu3Cj5efE9YgIWB+4nLb9mNZdQvaGYIHPFmQbkDkyRNaOauT/3/9GKHCISig+bSPXkgkUVQrRu3TqYTCZ8+eWXqK6uxmOPPYadO3eiZ8+eHtcOHjwYmzZtUsBKd9rtDtg7hWvmSH1DeZsYQl06hE7SyyEiWpkIJNrqQhUJjTt27MCjjz4KAMjMzMSdd96JvXv3KmxVN0KJcceqmvDhjtPoYTTI4pYzE4Ob0OjtZ4B7YqO3nwOI+mS+YBMWhRI9pSD070BIRxUeUV1dHfr168d+76uNdHV1NebMmYOYmBjMmzcPc+bMCerZ/lx0Rgw6HU62VhCTJMiUw/CHmJrNvnKNxE4WfsUA5rXRuAsTrEejFc8vUgiLEM2ZMwd1dXVef3fgwAHR9xk+fDi++uor9OrVCzU1NXjqqadgNptx3333SbKH29JEqIc8A9MX3d55Gx/uOON2ndie7+v/fg57j9sQH2/Es8UjBa/zdj8pfeWZscyfmYslc/IwZrgFh0/afI7PG2J6zCvdA15Kv3o5UXrcShHqcYdFiDZv3uzz9xkZGbhy5Qrb1dVms2Hs2LEe15lMPwiI1WpFQUEBjh49KlmIauu6g70js1NF9UrPG5iMdrvD4zpf/Z64mchJ8bEYk5uOpHgjLtW0hMwzYcYy3Npdz7qjzc7+zNI7Dlt2nxXlGfnrMa+W/l7++tXLvaullnGHm3D0NVNFjGjGjBlYv349gO6l14kTJzBp0iSP6xoaGsD0g2xtbUV5eTmGDh0q+XmnqlvY2IvYdb7UeACzdNj2dTW2fV2NGIMem/dfxMFT9ZLtBcTFRLzZyPyMKerm61Atw8jsVMy5P4vNJ4pUhGJshPpQRYxo4cKFWLFiBR544AHo9Xq8/PLLrPfz5ptvIj09HXPnzsXOnTvx8ccfIyYmBk6nE0VFRSgoKJD8PG4eUagSD/lHM9raO3GkUie57xlDsDERKWevEuKM6GE0iM4nUiu0qxU5aLLldHNzG3vgVajFtBikuKzBCB5zDqzT4YTRaAjoXJfUcfqyl9tqO5oC4P6gpVlwUMtpH4TrUzPYgvCb9l5gT94Hcq6LP05/wujLXl+JnAQRCJoWokg5YMhf5gVyrIMvLMEs9cYMt+D6dXvYlzyR8u9FSEfTQhQpBwy9ncBnCHQMwXiCpnj5cnCkiEuk/HsR0tG0EEVDMDPQMagloU+KuETDvxfhHU0LkVKTUc4lRijGEM4lkBRxUYt4EvKjijwiraH2/JZw2kfntQhA4x6RN8LhDah9iSG3fRRkJvxBHhGPcHgDwXgBcrfJ8XY/ub0UtXuAhPKQR8RD7d6KlOCuGE8kHDtRav+bEspDQsRD7QFRKZNajMiEQyTU/jcllIeEKMKQMqnFiAyJBKEGKEYUxYRiR6rd7sDuissRfSqfUB8kRIQkjlU1Ye3W7yjwTMgKLc0ISUgpkUsQYiGPiJBEQpwRU0YPoHwgQlZIiAiCUBwSIoIgFIeEiCAIxdG8EMl9ZCLS0Pr4CXWgCiHaunUrZs+ejWHDhuHDDz/0ee2GDRvwwAMPoKCgAC+//DK6urqCerbWz0FpffyEOlDF9n1ubi5ef/11vPvuuz6vq6mpwR/+8Ads2bIFSUlJWLx4MT799FMUFRUF/Gytn4PS+vgJdaAKIbrjjjsAAHq9bwftiy++QEFBAduIsbi4GJs2bZIsRHr9D019TAmxmHRXhjSDBe4ViQQ6/kgfd6DQuENzD1UIkVhsNhsyMn6YNBkZGbDZbJLvk5zcUzabhNqjRDs0bm0R6nGHRYjmzJmDuro6r787cOAADAZDOMwgCEKlhEWINm/eLMt9LBaLm6DV1dXBYqGT4wQR6ahi10ws06dPR1lZGVpaWtDV1YWNGzdi5syZSptFEESQqKLl9LZt27B69Wpcv34dRqMR8fHxeP/99zFkyBC8+eabSE9Px9y5cwEAn3zyCdauXQsAmDBhAlauXElLO4KIcFQhRARBaJuIWpoRBBGdkBARBKE4JEQEQSgOCRFBEIpDQkQQhOKQEBEEoTgkRDJTUVGBRx55BCUlJXj//feVNidsfPvttygpKUFJSQlef/11pc0JO3/+85/x5JNPKm1G2KitrcXEiROxYMEC/PKXvwz6fhF16DUSsFqt+PDDDxEbG4sFCxZg7ty5iI+PV9qskJObm4tPPvkEAPDEE0+gra0NJpM2Dog6HA6cOXNGaTPCzuTJk/Hb3/5WlnuRRyQzZrMZsbGxAACDweC3tEm0YDR2d/VwOp1IT09HXFycwhaFj61bt+LBBx9U2oyws3//fsybNw+ffvpp0PfSxiwJkFWrVmHKlCnIycnB2bNn2Z9fvHgRjz76KKZPn45HH30U1dXVHq8tLy/HgAED0KNHjzBaLA+Bjru0tBQ//vGPkZiYiJiYyHO2Axl3V1cX9u/fj0mTJilgsTwEMu709HR8/vnneP/997F+/Xpcu3YtOCNchCDffPONq66uzpWfn++qrKxkf75gwQLXli1bXC6Xy7VlyxbXggUL3F5ns9lcCxYscLW1tYXVXrkIdNwul8vldDpdzz77rOvMmTNhs1cuAhn3jh07XFu3bnW5XC7XE088EVZ75SKYf2+Xy+Vas2aN6/jx40HZQB6RD0aPHu1RZqS5uRmnTp3CrFmzAACzZs3CqVOn0NLSAgDo7OzEihUr8OKLL6JnT/kKsIWTQMcNdFfZ7NmzZ0R6goGM++LFi9i8eTMWLlyI06dPY+PGjWG3O1gCGffNmzcBAC6XC9999x369u0blA2R5z8rjM1mg9lsZk/8GwwGpKenw2azISUlBaWlpTh37hxeeOEFAMBrr70Gs9mspMmy4G/cu3btwkcffYSuri6MHj0amZmZyhosE/7G/cwzz+CZZ54BADz55JMoLi5W0lzZ8DfuY8eOYc2aNTAajZg+fTrS09ODeh4Jkcw8/PDDePjhh5U2I+zMnDlT87Wh/vznPyttQtiYOHEiJk6cKNv9aGkmEYvFgvr6ejidTgDdu0QNDQ1RXymSxk3jDuW4SYgk0qdPH+Tm5mLbtm0Auou65ebmsp1FohUaN407lOOmwmg+ePXVV7Fz5040NTUhOTkZSUlJ+Oyzz3D+/HmsWLEC169fR2JiIlatWoWsrCylzZUNGjeNO9zjJiEiCEJxaGlGEITikBARBKE4JEQEQSgOCRFBEIpDQkQQhOKQEBEEoTgkRARBKA4JEUEQikNCRBCE4pAQEQShOCREhOqZMmUK1q1bh9mzZ2PUqFH413/9V9y6dUtpswgZISEiIoIdO3Zg7dq12LVrFyorK7Fp0yalTSJkhAqjERHBggUL2EqX+fn5OH36tMIWEXJCHhEREaSlpbFfx8fHo729XUFrCLkhISIIQnFIiAiCUBwSIoIgFIcqNBIEoTjkEREEoTgkRARBKA4JEUEQikNCRBCE4pAQEQShOCREBEEoDgkRQRCKQ0JEEITi/H8mKkEq5fnhJgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 288x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(figsize=(4, 4))\n",
    "ax.set_xscale(\"log\")\n",
    "ax.set_xlim(50, 200000)\n",
    "ax.set_ylim(-1, 3)\n",
    "sns.regplot(\"n\", \"residuals\", data=devi, ax=ax, fit_reg=False, scatter_kws={\"s\": 1})\n",
    "ax.hlines(1.5, 0, 200000)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Finally, we plot the temporal course for each unusual cause, Figure 4. We split the diseases into two plots because of differences in variability. The top plot shows diseases with over 350 deaths and the bottom with under 350. The causes of death fall into three main groups: murder, drowning, and transportation related. Murder is more common at night, drowning in the afternoon, and transportation related deaths during commute times. The pale gray line in the background shows the temporal course across all diseases."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Get all temporarily \"unusual\" deaths.\n",
    "unusual = devi.loc[(devi[\"residuals\"] > 1.5), [\"disease\", \"n\"]].sort_values(\"disease\")\n",
    "# Helper dataset for easy indexing / value retrieval.\n",
    "plot_data = counts[[\"cod\", \"hod\", \"prop\", \"prop_all\"]].set_index(\"cod\")\n",
    "# Divide the plots in two big categories.\n",
    "for header, cond, ylim in [\n",
    "    (\"> 350 Deaths / Year\", (unusual[\"n\"] > 350), 0.125),\n",
    "    (\"< 350 Deaths / Year\", (unusual[\"n\"] <= 350), 0.3),\n",
    "]:\n",
    "    nrows = math.ceil(len(unusual[cond]) / 3)\n",
    "    fig = plt.figure(figsize=(16, 12),)\n",
    "    for i, (cod, (disease, _)) in enumerate(unusual[cond].iterrows(), 1):\n",
    "        ax = fig.add_subplot(nrows, 3, i)\n",
    "        ax.set_title(\"\\n\".join(textwrap.wrap(disease, 40)))\n",
    "        ax.set_xlim(0, 24)\n",
    "        ax.set_ylim(0, ylim)\n",
    "        ax.plot(plot_data.loc[cod, \"hod\"], plot_data.loc[cod, \"prop\"])\n",
    "        ax.plot(plot_data.loc[cod, \"hod\"], plot_data.loc[cod, \"prop_all\"])\n",
    "        # Show only lower and left axes.\n",
    "        if i not in (3 * nrows - 2, 3 * nrows - 1, 3 * nrows):\n",
    "            plt.setp(ax.get_xticklabels(), visible=False)\n",
    "        if i % 3 != 1:\n",
    "            plt.setp(ax.get_yticklabels(), visible=False)\n",
    "    fig.suptitle(header, fontsize=20)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}