998 lines
310 KiB
Text
998 lines
310 KiB
Text
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Case Study: Unusual Deaths in Mexico\n",
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"\n",
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"> 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",
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"\n",
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"> 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."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## \"Housekeeping\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"2018-09-06 11:17:29 CEST\n",
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"\n",
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"CPython 3.6.5\n",
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"IPython 6.5.0\n",
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"\n",
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"matplotlib 2.2.3\n",
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"numpy 1.15.1\n",
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"pandas 0.23.4\n",
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"seaborn 0.9.0\n"
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]
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}
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],
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"source": [
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"% load_ext watermark\n",
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"% watermark -d -t -v -z -p matplotlib,numpy,pandas,seaborn"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"import math\n",
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"import textwrap\n",
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"\n",
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"import matplotlib.pyplot as plt\n",
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"import numpy as np\n",
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"import pandas as pd\n",
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"import rpy2.robjects as robjects\n",
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"import rpy2.robjects.pandas2ri as pandas2ri\n",
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"import seaborn as sns\n",
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"\n",
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"from sklearn.linear_model import HuberRegressor"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"% matplotlib inline"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"sns.set()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Load the Data"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"deaths = pandas2ri.ri2py(robjects.r['readRDS']('data/deaths.rds'))\n",
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"deaths = deaths[(deaths['yod'] == 2008) & (deaths['mod'] != 0)\n",
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" & (deaths['dod'] != 0)]\n",
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"#deaths.loc[(deaths['hod'] < 0), 'hod'] = 0\n",
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"deaths = deaths[~(deaths['hod'] < 0)]\n",
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"deaths = deaths.reset_index(drop=True)\n",
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"assert set(deaths['hod'].unique()) <= set(range(24))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(502520, 5)"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"deaths.shape"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>yod</th>\n",
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" <th>mod</th>\n",
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" <th>dod</th>\n",
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" <th>hod</th>\n",
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" <th>cod</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>2008</td>\n",
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" <td>1</td>\n",
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" <td>1</td>\n",
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" <td>1</td>\n",
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" <td>B20</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>2008</td>\n",
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" <td>1</td>\n",
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" <td>1</td>\n",
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" <td>1</td>\n",
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" <td>B22</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>2008</td>\n",
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" <td>1</td>\n",
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" <td>1</td>\n",
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" <td>1</td>\n",
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" <td>C18</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>2008</td>\n",
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" <td>1</td>\n",
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" <td>1</td>\n",
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" <td>1</td>\n",
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" <td>C34</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>2008</td>\n",
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" <td>1</td>\n",
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" <td>1</td>\n",
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" <td>1</td>\n",
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" <td>C50</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" yod mod dod hod cod\n",
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"0 2008 1 1 1 B20\n",
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"1 2008 1 1 1 B22\n",
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"2 2008 1 1 1 C18\n",
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"3 2008 1 1 1 C34\n",
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"4 2008 1 1 1 C50"
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]
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},
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"deaths.head()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Note that this file contains 7 duplicates that are removed.\n",
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"codes = pd.read_csv('data/icd-main.csv')\n",
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"codes = codes[(codes['code'] != codes['code'].shift())].set_index('code')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(1851, 1)"
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]
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},
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"execution_count": 9,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"codes.shape"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>disease</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>code</th>\n",
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" <th></th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>A00</th>\n",
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" <td>Cholera</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>A01</th>\n",
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" <td>Typhoid and paratyphoid fevers</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>A02</th>\n",
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" <td>Other salmonella infections</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>A03</th>\n",
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" <td>Shigellosis</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>A04</th>\n",
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" <td>Other bacterial intestinal infections</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" disease\n",
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"code \n",
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"A00 Cholera\n",
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"A01 Typhoid and paratyphoid fevers\n",
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"A02 Other salmonella infections\n",
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"A03 Shigellosis\n",
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"A04 Other bacterial intestinal infections"
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]
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},
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"codes.head()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Counts\n",
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"\n",
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"Count the number of deaths by *hour of the day* and *cause of death* (and also join in the more descriptive labels for the various causes)."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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||
"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>hod</th>\n",
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" <th>cod</th>\n",
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" <th>freq</th>\n",
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" <th>disease</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>1</td>\n",
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" <td>A01</td>\n",
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" <td>3</td>\n",
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" <td>Typhoid and paratyphoid fevers</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>1</td>\n",
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" <td>A02</td>\n",
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" <td>3</td>\n",
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" <td>Other salmonella infections</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>1</td>\n",
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" <td>A04</td>\n",
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" <td>7</td>\n",
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" <td>Other bacterial intestinal infections</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>1</td>\n",
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" <td>A05</td>\n",
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" <td>1</td>\n",
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" <td>Other bacterial foodborne intoxications, not e...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>1</td>\n",
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" <td>A06</td>\n",
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" <td>2</td>\n",
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" <td>Amebiasis</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" hod cod freq disease\n",
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"0 1 A01 3 Typhoid and paratyphoid fevers\n",
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"1 1 A02 3 Other salmonella infections\n",
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"2 1 A04 7 Other bacterial intestinal infections\n",
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"3 1 A05 1 Other bacterial foodborne intoxications, not e...\n",
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"4 1 A06 2 Amebiasis"
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]
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},
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"execution_count": 11,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"counts = (\n",
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" pd.DataFrame(deaths.groupby(['hod', 'cod']).size(), columns=['freq'])\n",
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" .reset_index()\n",
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" .join(codes, on='cod')\n",
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")\n",
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"# This is to ensure that no duplicates are created\n",
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"# because of duplicate entries in the codes DataFrame.\n",
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"assert counts['cod'].value_counts().max() <= 24\n",
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"\n",
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"# Keep only causes where a death happened in every hour.\n",
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"counts = counts[counts['cod'].isin(list((counts['cod'].value_counts() == 24).index))]\n",
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"\n",
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"counts.head()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Add a *prop* column indicating the relative frequency of a given *cause of death* on an hourly basis."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"metadata": {},
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||
"outputs": [
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||
{
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||
"data": {
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||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
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" vertical-align: middle;\n",
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" }\n",
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"\n",
|
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
|
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" .dataframe thead th {\n",
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" text-align: right;\n",
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||
" }\n",
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||
"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>hod</th>\n",
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" <th>cod</th>\n",
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" <th>freq</th>\n",
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" <th>disease</th>\n",
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" <th>prop</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>1</td>\n",
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" <td>A01</td>\n",
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" <td>3</td>\n",
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" <td>Typhoid and paratyphoid fevers</td>\n",
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" <td>0.062500</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>1</td>\n",
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" <td>A02</td>\n",
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" <td>3</td>\n",
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" <td>Other salmonella infections</td>\n",
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" <td>0.048387</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>1</td>\n",
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" <td>A04</td>\n",
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" <td>7</td>\n",
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" <td>Other bacterial intestinal infections</td>\n",
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" <td>0.051095</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>1</td>\n",
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" <td>A05</td>\n",
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" <td>1</td>\n",
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" <td>Other bacterial foodborne intoxications, not e...</td>\n",
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" <td>0.050000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>1</td>\n",
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" <td>A06</td>\n",
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" <td>2</td>\n",
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" <td>Amebiasis</td>\n",
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" <td>0.024390</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"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'] = (\n",
|
||
" counts['freq']\n",
|
||
" / deaths.groupby(['cod']).size().reindex(counts.index)\n",
|
||
")\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": [
|
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"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
|
||
" }\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": {
|
||
"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>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\n",
|
||
" .join(\n",
|
||
" deaths.groupby('cod')\n",
|
||
" .count()['yod']\n",
|
||
" .to_frame(),\n",
|
||
" how='inner',\n",
|
||
" )\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": {
|
||
"image/png": "iVBORw0KGgoAAAANSUhEUgAAATgAAAESCAYAAABpSMk6AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAHChJREFUeJzt3X1sU+fdN/BvbN7SQkrtJcYeaYG1ZWYk7UrvPmIt3QhOnIITp4zUVQbqRAmagEWj2tZ0U/MCVG2QVq1jRLonOqZIFUNWV2jcNGQpDxvJc5fCSkOZgVKaECDOCzZZeAtNjq/njzq+Y0JjJ/j14vuRKsX+XbZ/59T99rqOj4+ThBACREQSUsW6ASKiSGHAEZG0GHBEJC0GHBFJiwFHRNJiwBGRtBhwRCQtBhwRSStqAdfa2gqbzQaz2QybzYa2trYRYxRFQWVlJUwmE7Kzs2G320OqAUBdXR3y8vJgsViQl5eHixcvRnqTiCjeiShZtWqV2LNnjxBCiD179ohVq1aNGPPuu++K1atXC0VRhNvtFosWLRLnzp0LWjt27Jh4+umnRXd3txBCiL6+PtHf3x+lLSOieBWVGZzb7YbT6YTFYgEAWCwWOJ1OeDyegHF1dXUoLCyESqWCRqOByWRCfX190Npf/vIXrF69GqmpqQCAadOmYfLkydHYNCKKY1EJOJfLBZ1OB7VaDQBQq9VIS0uDy+UaMc5gMPhv6/V6dHZ2Bq2dOXMG586dw09+8hM888wzqK6uhuBXbInueBNi3UA4KIqCU6dOYefOnfjqq6+wZs0aGAwGFBQUxLo1IoqhqAScXq9HV1cXFEWBWq2Goijo7u6GXq8fMa6jowOZmZkAAmdto9UMBgNyc3MxadIkTJo0CUuWLMGxY8fGFHCXLl2F15s4sz6tdirc7iuxbiNkidYvwJ4jTaVKwr333h3Z14jos/totVoYjUY4HA4AgMPhgNFohEajCRiXm5sLu90Or9cLj8eDxsZGmM3moDWLxYKmpiYIITAwMICPPvoI3/3ud8fUo9crEuqfROs50fplz9HrN5KitkStqKhAaWkpqqurkZKSgqqqKgBAcXExSkpKkJGRAavVipaWFuTk5AAA1q9fj/T0dAAYtbZs2TIcP34cS5cuhUqlwpNPPokVK1ZEa9OIKE4lCR6NBwC43Vei8n+UcElNnYaensuxbiNkidYvwJ4jTaVKglY7NbKvEdFnJyKKIQYcEUmLAUdE0mLAEZG0GHA+128MxroFIgozBpyPs80TfBARJRQGnM+8WZrgg4gooTDgfJInS/G1XCIahgFHRNJiwBGRtBhwRCQtBhwRSYsBR0TSYsARkbQYcEQkLQYcEUmLAUdE0mLAEZG0GHBEJC0GHBFJiwFHRNJiwBGRtBhwRCQtBhwRSYsBR0TSYsD58EdniOTDgPPhj84QySdqAdfa2gqbzQaz2QybzYa2trYRYxRFQWVlJUwmE7Kzs2G320Oqbdu2DQsXLoTVaoXVakVlZeWY++OPzhDJJ2q/tFJeXo6ioiJYrVbs3bsXZWVlqKmpCRhTW1uL9vZ2NDQ0oLe3FwUFBVi4cCFmzpw5ag0ACgoK8NJLL427v+TJE+D1itvaRiKKL1GZwbndbjidTlgsFgCAxWKB0+mExxO4LKyrq0NhYSFUKhU0Gg1MJhPq6+uD1oiIbiUqAedyuaDT6aBWqwEAarUaaWlpcLlcI8YZDAb/bb1ej87OzqA1AHj//feRl5eH1atX4+jRo5HcHCJKEFL8GOhzzz2Hn/3sZ5g4cSKam5uxbt061NXV4d577w35ObTaqRHsMDJSU6fFuoUxSbR+Afac6KIScHq9Hl1dXVAUBWq1GoqioLu7G3q9fsS4jo4OZGZmAgictY1WS01N9T/HE088Ab1ej9OnT+Pxxx8PuUe3+0pCHYNLTZ2Gnp7LsW4jZInWL8CeI02lSor4xCIqS1StVguj0QiHwwEAcDgcMBqN0GgCP7nMzc2F3W6H1+uFx+NBY2MjzGZz0FpXV5f/OU6cOIELFy5g9uzZ0dg0IopjUVuiVlRUoLS0FNXV1UhJSUFVVRUAoLi4GCUlJcjIyIDVakVLSwtycnIAAOvXr0d6ejoAjFp744038O9//xsqlQoTJ07E1q1bA2Z1RHRnShJCJM66LIK4RI2sROsXYM+RJs0SlYgoFhhwRCQtBhwRSYsBR0TSYsARkbQYcEQkLQYcEUmLAUdE0mLAEZG0GHBEJC0GHBFJiwFHRNJiwBGRtBhwRCQtBhwRSYsBR0TSYsARkbQYcEQkLQYcEUmLAUdE0mLAEZG0GHBEJC0GHBFJiwHnc/3GYKxbIKIwY8D5ONs8sW6BiMKMAeczb5Ym1i0QUZgx4HySJ0+IdQtEFGYMOCKSVtQCrrW1FTabDWazGTabDW1tbSPGKIqCyspKmEwmZGdnw263h1Qb8uWXX+Lhhx9GVVVVJDeFiBJE1AKuvLwcRUVF2LdvH4qKilBWVjZiTG1tLdrb29HQ0IDdu3dj27ZtOH/+fNAa8HUAlpeXw2QyRWuTiCjORSXg3G43nE4nLBYLAMBiscDpdMLjCfzksq6uDoWFhVCpVNBoNDCZTKivrw9aA4A//elP+NGPfoRZs2ZFY5OIKAFE5ci6y+WCTqeDWq0GAKjVaqSlpcHlckGj0QSMMxgM/tt6vR6dnZ1BaydPnkRTUxNqampQXV09rh612qnjelwspaZOi3ULY5Jo/QLsOdEl/EeHAwMDeOWVV/Daa6/5A3Q83O4r8HpFGDuLrNTUaejpuRzrNkKWaP0C7DnSVKqkiE8sohJwer0eXV1dUBQFarUaiqKgu7sber1+xLiOjg5kZmYCCJy1fVOtp6cH7e3tWLt2LQCgr68PQghcuXIFmzdvjsbmEVGcisoxOK1WC6PRCIfDAQBwOBwwGo0By1MAyM3Nhd1uh9frhcfjQWNjI8xm86g1g8GAQ4cOYf/+/di/fz+ef/55PPvssww3IoreErWiogKlpaWorq5GSkqK/1SO4uJilJSUICMjA1arFS0tLcjJyQEArF+/Hunp6QAwao2I6FaShBCJc+ApgngMLrISrV+APUdaNI7B8ZsMRCQtBhwRSYsBR0TSYsARkbQYcEQkLQYcEUmLAUdE0mLAEZG0GHBEJC0GHBFJiwFHRNJiwBGRtBhwRCQtBhwRSYsBR0TSYsARkbQYcEQkLQYcEUmLAUdE0mLAEZG0GHBEJC0GHBFJK+SAKygouOX9y5cvD1szREThFHLAnT17dsR9QgicP38+rA0REYVL0F+2//Wvfw0AGBgY8P895MKFC3jggQci0xkR0W0KGnD33XffLf8GgEcffRS5ubnh74qIKAyCBtyGDRsAAA8//DAWLVoU8YaIiMIl5GNwEydOxLlz5wAAPT09eOmll/Dyyy+jp6cnpMe3trbCZrPBbDbDZrOhra1txBhFUVBZWQmTyYTs7GzY7faQau+88w7y8vJgtVqRl5eHmpqaUDeLiCQWcsBVVlZCrVYDAF5//XUMDg4iKSkJr7zySkiPLy8vR1FREfbt24eioiKUlZWNGFNbW4v29nY0NDRg9+7d2LZtm/9DjNFqZrMZ7733Hvbu3Ytdu3Zh586dOHnyZKibRkSSCjngurq6YDAYMDg4iKamJmzatAkVFRU4evRo0Me63W44nU5YLBYAgMVigdPphMfjCRhXV1eHwsJCqFQqaDQamEwm1NfXB61NnToVSUlJAID+/n4MDAz4bxPRnSvkgJs6dSouXryIw4cP4zvf+Q7uvvtuAMDg4GDQx7pcLuh0Ov8MUK1WIy0tDS6Xa8Q4g8Hgv63X69HZ2Rm0BgAffvghli1bhsWLF2PNmjWYO3duqJtGRJIK+iHDkJUrV2LFihUYGBjAb37zGwDAJ598gjlz5kSsubFYsmQJlixZgo6ODqxfvx5PPfXUmHrTaqdGsLvISE2dFusWxiTR+gXYc6ILOeDWrl2L7OxsqNVq/+kiOp0OW7ZsCfpYvV6Prq4uKIoCtVoNRVHQ3d0NvV4/YlxHRwcyMzMBBM7aRqsNZzAYkJGRgQMHDowp4NzuK/B6RcjjYy01dRp6ei7Huo2QJVq/AHuONJUqKeITizF9F3X27NkB58LNnj07pKWgVquF0WiEw+EAADgcDhiNRmg0moBxubm5sNvt8Hq98Hg8aGxshNlsDlo7c+aM/zk8Hg8OHTqEhx56aCybRkQSGnUG9/TTT+ODDz4AAPzwhz/8xgP3Bw4cCPpCFRUVKC0tRXV1NVJSUlBVVQUAKC4uRklJCTIyMmC1WtHS0oKcnBwAwPr165Geng4Ao9Z2796N5uZmTJgwAUIIrFy5Ek8++WQIm09EMksSQnzjuuzIkSN47LHHAAAff/zxNz7J448/Hv7OooxL1MhKtH4B9hxp0ViijjqDa25uRnNzc9AnkSHgiEg+owbc8NMwbty4gYaGBsyfPx/f/va30dHRgc8++8y/ZCQiijejBtxrr73m/3vjxo343e9+5z+wDwANDQ3+k22JiOJNyJ+i/vOf/4TJZAq4LysrC//4xz/C3hQRUTiEHHD3338/3n777YD7du3aNeISSkRE8SLkE323bNmCDRs2YMeOHdDpdOjq6sKECROwbdu2SPZHRDRuIQfcvHnzsG/fPrS0tKC7uxupqal45JFHMHHixEj2R0Q0biEHHPD1NeGGzosjIop3/NlAIpIWA46IpMWAIyJpMeCISFoMOCKSFgOOiKTFgCMiaTHgiEhaDDgikhYDjoikxYAjImkx4IhIWgw4IpIWA46IpMWAIyJpMeCISFoMOCKSFgOOiKTFgCMiaUUt4FpbW2Gz2WA2m2Gz2dDW1jZijKIoqKyshMlkQnZ2Nux2e0i17du3Y9myZcjLy8Py5ctx8ODBaGwSEcW5Mf3ozO0oLy9HUVERrFYr9u7di7KyMtTU1ASMqa2tRXt7OxoaGtDb24uCggIsXLgQM2fOHLWWmZmJ1atXIzk5GSdPnsTKlSvR1NSEKVOmRGvziCgORWUG53a74XQ6YbFYAAAWiwVOpxMejydgXF1dHQoLC6FSqaDRaGAymVBfXx+0tmjRIiQnJwMA5s6dCyEEent7o7FpRBTHohJwLpcLOp0OarUaAKBWq5GWlgaXyzVinMFg8N/W6/Xo7OwMWhtuz549uO+++zBjxoxIbAoRJZCoLVGj4eOPP8abb76JP//5z2N+rFY7NQIdRVZq6rRYtzAmidYvwJ4TXVQCTq/Xo6urC4qiQK1WQ1EUdHd3Q6/XjxjX0dGBzMxMAIGzttFqAHD06FH86le/QnV1NebMmTPmHt3uK/B6xXg3MepSU6ehp+dyrNsIWaL1C7DnSFOpkiI+sYjKElWr1cJoNMLhcAAAHA4HjEYjNBpNwLjc3FzY7XZ4vV54PB40NjbCbDYHrR07dgwbN27EH/7wB3zve9+LxiYRUQJIEkJEZdpy5swZlJaWoq+vDykpKaiqqsKcOXNQXFyMkpISZGRkQFEUbNq0Cc3NzQCA4uJi2Gw2ABi19uMf/xgXLlyATqfzv97WrVsxd+7ckPvjDC6yEq1fgD1HWjRmcFELuHjHgIusROsXYM+RJs0SlYgoFhhwRCQtBhwRSYsBR0TSYsARkbQYcEQkLQYcEUmLAUdE0mLA+Vy/MRjrFogozBhwPs42T/BBRJRQGHA+82Zpgg8iooTCgPNJnizVpfGICAw4IpIYA87nX6e6ca1/INZtEFEYMeB8apvbcPT0xVi3QURhxANPPnlPzMLc9OmxboOIwogzOJ95szQ4evoil6lEEmHA+TjbPPjrh6e5TCWSCAPOZ94sDZ5b8iC+/+C3Yt0KEYUJj8H5JE+egCcy9MEHElHC4AyOiKTFgPPhl+2J5MOA8+GX7Ynkw4Dz4ZftieTDgCMiaTHgfLhEJZIPA85njj4l1i0QUZhFLeBaW1ths9lgNpths9nQ1tY2YoyiKKisrITJZEJ2djbsdntItaamJixfvhzz589HVVXVuPo70d47rscRUfyK2om+5eXlKCoqgtVqxd69e1FWVoaampqAMbW1tWhvb0dDQwN6e3tRUFCAhQsXYubMmaPW0tPT8eqrr6K+vh5fffXVuPobHPSGYzOJKI5EZQbndrvhdDphsVgAABaLBU6nEx5P4HGvuro6FBYWQqVSQaPRwGQyob6+Pmjt/vvvh9FoxIQJ48/rCRO4WieSTVT+q3a5XNDpdFCr1QAAtVqNtLQ0uFyuEeMMBoP/tl6vR2dnZ9BaOPA7qETy4XdRfWYaEu9acKmp02LdwpgkWr8Ae050UQk4vV6Prq4uKIoCtVoNRVHQ3d0NvV4/YlxHRwcyMzMBBM7aRquFw3+/8ymeyjTgW9OTw/ackZSaOg09PZdj3UbIEq1fgD1HmkqVBK12amRfI6LP7qPVamE0GuFwOAAADocDRqMRGk3gtwdyc3Nht9vh9Xrh8XjQ2NgIs9kctBYOH5/ohuN/2sL2fEQUe1FbolZUVKC0tBTV1dVISUnxn85RXFyMkpISZGRkwGq1oqWlBTk5OQCA9evXIz09HQBGrR05cgQvvvgirly5AiEE3n//fbz66qtYtGhRyP2lTp+CJY/ODOcmE1GMJQkhRKybiAcbtu6H6bGZCXNNuERaigCJ1y/AniNNmiVqItCkTA740Zlr/QNo/szF32ggSmAMOB+X+ypOnfvfbzMcPX2Rv9FAlOB4mojPvdMmB5wLN/Q3z48jSlwMOJ9r/YO4a8pE/+27pkxMmONxRHRrXKL6JE+ewONtRJJhwPl4Lt/AR86uWLdBRGHEgPNJSgKSYt0EEYUVA85HpQIe+PY9sW6DiMKIAeejKMC+w+2xboOIwogBN8zV6wP8oIFIIgy4YY63XuKJvUQSYcANc79uKk/sJZIIA26YZxc/EHCyLxElNgbcMPb/+0WsWyCiMGLADfNlZ2JcZoaIQsOAG+auybHugIjCiQE3zPUbgbd5TTiixMaAG+bmr2rxmnBEiY2XSxpGueni7bwmHFFi4wzuJsOXo0PXhOOpI0SJiQF3Ey5HieTBgLuJ5z/X+aECkSQYcDd57/+d5SyOSBIMuJvM0CQH/HxgpPFUFKLIYcDd5MLFazj2pXtMj7mdkOKpKESRw9NEbmFgQLnl/df6B3D09EV8/8FvBXyyOhRSAMb8S1w8FYUochhwt9Dhvormz1whB9n3H/wWbgwo+GpAwbX+gTGdVsKfJySKHC5Rb+HgsU7U1J/w/8rW0BJ0bvp0PLfkwRGzrbumTMTkiWr87Z9fcqlJFEeiNoNrbW1FaWkpent7MX36dFRVVWHWrFkBYxRFwZYtW3Dw4EEkJSVh7dq1KCwsvK3aeA0owKF/d2FgwItzPVfQ8sVFPLfkQTyRofcH3vAZHpeaRPEnagFXXl6OoqIiWK1W7N27F2VlZaipqQkYU1tbi/b2djQ0NKC3txcFBQVYuHAhZs6cOe7a7Th94T84feE/AIC0eybj6OkeuP9zHd29/fj09EWcPt8Ly8JZOPalG0kA/s88Hb/1QBRHohJwbrcbTqcTO3fuBABYLBZs3rwZHo8HGo3GP66urg6FhYVQqVTQaDQwmUyor6/HmjVrxl0L1fzZGhyHZ9Qx53uu4nzPVahVwIPp9+Bkey/Odn2GGzcUJKmTcLGvH09lGtB45Bx6eq8jSZWEjDkaPJFhQPLkr3f1pb5+fPjJeSx5dCbuTZmC6zcG4WzzYI4+BV+6+jBHn4KT7b0Q+Ho2OPS4IUPjn5g2BSrV6L/keqmvHw1HzkGvuQv/ZdSNeK7RDL3OvFmaMT1uNMH6jYTb3Y5Y9Hy7btVzuP59hvN9EY19G5WAc7lc0Ol0UKvVAAC1Wo20tDS4XK6AgHO5XDAYDP7ber0enZ2dt1UL1cafPDb2DfsG8+fqvrGm1U7FA7MDl7EzDV+fdzd0/831mw2NvzvIbPFWrzUWQ68TLlrt1LA+X6huZzti1fPt+Kaew/XvM9zvi0jihwxEJK2oBJxer0dXVxcU5evzyxRFQXd3N/R6/YhxHR0d/tsulwszZsy4rRoR3bmiEnBarRZGoxEOhwMA4HA4YDQaA5anAJCbmwu73Q6v1wuPx4PGxkaYzebbqhHRnStJCCGCD7t9Z86cQWlpKfr6+pCSkoKqqirMmTMHxcXFKCkpQUZGBhRFwaZNm9Dc3AwAKC4uhs1mA4Bx14jozhW1gCMiijZ+yEBE0mLAEZG0GHBEJC0GHBFJ644OuNbWVthsNpjNZthsNrS1tUXldauqqpCVlYW5c+fi888/D6mfSNTG4tKlSyguLobZbEZeXh42bNgAj+frr7Z9+umnyM/Ph9lsxurVq+F2/+8FQyNRC9W6deuQn5+PgoICFBUV4cSJE0H3Saz385A//vGPAe+PeN3HAJCVlYXc3FxYrVZYrVYcPHgwfnoWd7BVq1aJPXv2CCGE2LNnj1i1alVUXvfw4cOio6NDLF68WJw6dSqkfiJRG4tLly6Jjz76yH/79ddfFy+//LJQFEWYTCZx+PBhIYQQ27dvF6WlpUIIEZHaWPT19fn//vvf/y4KCgqEEPG9n4UQ4vjx4+KFF17wvz/ieR8LIUa8jyPV13h6vmMD7uLFi2LBggVicHBQCCHE4OCgWLBggXC73VHrYfgbY7R+IlG7XfX19eL5558XLS0tYtmyZf773W63eOSRR4QQIiK18Xr33XfFM888E/f7+caNG+LZZ58V586d878/4n0f3yrg4qXnO/aKvqFeACAe+hFChL12O9vo9Xqxa9cuZGVljbjQgUajgdfrRW9vb0Rq06eP7Yvev/3tb9Hc3AwhBHbs2BH3+/nNN99Efn5+wKW+4n0fA8Avf/lLCCGwYMECvPjii3HT8x19DI7GZ/PmzbjrrruwcuXKWLcS1KuvvooDBw5g48aN2Lp1a6zbGdXRo0dx/PhxFBUVxbqVMXn77bfx3nvv4Z133oEQAps2bYp1S353bMCFegGAeOgnErXxqqqqwtmzZ/H73/8eKpVqxIUOPB4PVCoVpk+fHpHaeBUUFODQoUOYMWNG3O7nw4cP48yZM1iyZAmysrLQ2dmJF154AWfPno3rfTy0nZMmTUJRURE++eSTuHlf3LEBF+oFAOKhn0jUxuONN97A8ePHsX37dkyaNAkAMH/+fPT39+PIkSMAgL/+9a/Izc2NWC1UV69ehcvl8t/ev38/7rnnnrjez2vXrkVTUxP279+P/fv3Y8aMGXjrrbewZs2auNzHAHDt2jVcvnwZACCEQF1dHYxGY/y8L8Z0NFEyX3zxhVixYoXIyckRK1asEGfOnInK627evFksWrRIGI1G8YMf/EAsXbo0aD+RqI3F559/Lh566CGRk5Mj8vPzRX5+vli3bp0QQoh//etfwmKxiOzsbPHTn/5U9PT0+B8XiVooenp6RGFhobBYLCI/P1+sWrVKHD9+/Lb2VzT283DDD97H4z4WQoj29nZhtVqFxWIRS5cuFT//+c9FV1dX3PTML9sTkbTu2CUqEcmPAUdE0mLAEZG0GHBEJC0GHBFJiwFHRNJiwBGRtBhwRCQtBhwlpKysLLz11lvIy8vDggUL8Itf/AI3btyIdVsUZxhwlLA++OAD7NixAx9++CFOnTqFv/3tb7FuieLMHXs9OEp8q1atgk6nAwAsXrzYf0lyoiGcwVHCSk1N9f+dnJyMa9euxbAbikcMOCKSFgOOiKTFgCMiafF6cEQkLc7giEhaDDgikhYDjoikxYAjImkx4IhIWgw4IpIWA46IpMWAIyJpMeCISFr/H6wnt6thfnN8AAAAAElFTkSuQmCC\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(\n",
|
||
" x='n', y='dist', data=devi, ax=ax, fit_reg=False, scatter_kws={'s': 1}\n",
|
||
");"
|
||
]
|
||
},
|
||
{
|
||
"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": {
|
||
"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",
|
||
" 'n', 'dist', data=devi, ax=ax, fit_reg=False, scatter_kws={'s': 1}\n",
|
||
");"
|
||
]
|
||
},
|
||
{
|
||
"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": {
|
||
"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_xlim(50, 200000)\n",
|
||
"ax.set_ylim(-1, 3)\n",
|
||
"sns.regplot(\n",
|
||
" 'n', 'residuals', data=devi, ax=ax, fit_reg=False, scatter_kws={'s': 1}\n",
|
||
")\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 = (\n",
|
||
" devi.loc[(devi['residuals'] > 1.5), ['disease', 'n']]\n",
|
||
" .sort_values('disease')\n",
|
||
")\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": "3.6.5"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 2
|
||
}
|