--- /dev/null
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "source": [
+ "Data from:\n",
+ "\n",
+ "* [Office of National Statistics](https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/weeklyprovisionalfiguresondeathsregisteredinenglandandwales) (Endland and Wales) Weeks start on a Saturday.\n",
+ "* [Northern Ireland Statistics and Research Agency](https://www.nisra.gov.uk/publications/weekly-deaths) (Northern Ireland). Weeks start on a Saturday. Note that the week numbers don't match the England and Wales data.\n",
+ "* [National Records of Scotland](https://www.nrscotland.gov.uk/statistics-and-data/statistics/statistics-by-theme/vital-events/general-publications/weekly-and-monthly-data-on-births-and-deaths/weekly-data-on-births-and-deaths) (Scotland). Note that Scotland uses ISO8601 week numbers, which start on a Monday.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 392,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "The sql extension is already loaded. To reload it, use:\n",
+ " %reload_ext sql\n"
+ ]
+ }
+ ],
+ "source": [
+ "import itertools\n",
+ "import collections\n",
+ "import json\n",
+ "import pandas as pd\n",
+ "import numpy as np\n",
+ "from scipy.stats import gmean\n",
+ "import datetime\n",
+ "\n",
+ "import matplotlib as mpl\n",
+ "import matplotlib.pyplot as plt\n",
+ "%matplotlib inline\n",
+ "\n",
+ "from sqlalchemy.types import Integer, Text, String, DateTime, Float\n",
+ "from sqlalchemy import create_engine\n",
+ "%load_ext sql"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 393,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "connection_string = 'postgresql://covid:3NbjJTkT63@localhost/covid'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 394,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'Connected: covid@covid'"
+ ]
+ },
+ "execution_count": 394,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "%sql $connection_string"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 395,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "conn = create_engine(connection_string)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 396,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "england_wales_filename = 'uk-deaths-data/publishedweek532020.xlsx'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 397,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " * postgresql://covid:***@localhost/covid\n",
+ "Done.\n",
+ "Done.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "[]"
+ ]
+ },
+ "execution_count": 397,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "%%sql\n",
+ "drop table if exists all_causes_deaths;\n",
+ "create table all_causes_deaths (\n",
+ " week integer,\n",
+ " year integer,\n",
+ " date_up_to date,\n",
+ " nation varchar(20),\n",
+ " deaths integer,\n",
+ " CONSTRAINT week_nation PRIMARY KEY(year, week, nation)\n",
+ ");"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 525,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "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>total_2015</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>(Registration Week, Unnamed: 0_level_1)</th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>49</th>\n",
+ " <td>294</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50</th>\n",
+ " <td>343</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>51</th>\n",
+ " <td>301</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>52</th>\n",
+ " <td>232</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>53</th>\n",
+ " <td>232</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " total_2015\n",
+ "(Registration Week, Unnamed: 0_level_1) \n",
+ "49 294\n",
+ "50 343\n",
+ "51 301\n",
+ "52 232\n",
+ "53 232"
+ ]
+ },
+ "execution_count": 525,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "raw_data_2015 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2015.csv', \n",
+ " parse_dates=[1, 2], dayfirst=True,\n",
+ "# index_col=0,\n",
+ " header=[0, 1]\n",
+ " )\n",
+ "dh15i = raw_data_2015.iloc[:, [0, 3]]\n",
+ "dh15i.set_index(dh15i.columns[0], inplace=True)\n",
+ "dh15i.columns = ['total_2015']\n",
+ "dh15i.tail()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 399,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead tr th {\n",
+ " text-align: left;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th></th>\n",
+ " <th>Registration Week</th>\n",
+ " <th>Week Starts (Saturday)</th>\n",
+ " <th>Week Ends (Friday)</th>\n",
+ " <th>Total Number of Deaths Registered in Week (2015P)</th>\n",
+ " <th>Average number of deaths registered in corresponding week in previous 5 years (2010 to 2014P)</th>\n",
+ " <th>Range</th>\n",
+ " <th>Unnamed: 6_level_0</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th></th>\n",
+ " <th>Unnamed: 0_level_1</th>\n",
+ " <th>Unnamed: 1_level_1</th>\n",
+ " <th>Unnamed: 2_level_1</th>\n",
+ " <th>Unnamed: 3_level_1</th>\n",
+ " <th>Unnamed: 4_level_1</th>\n",
+ " <th>Minimum in Previous 5 years</th>\n",
+ " <th>Maximum in Previous 5 years</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>2014-12-29</td>\n",
+ " <td>2015-01-02</td>\n",
+ " <td>319</td>\n",
+ " <td>317.2</td>\n",
+ " <td>248</td>\n",
+ " <td>372</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
+ " <td>2015-01-03</td>\n",
+ " <td>2015-01-09</td>\n",
+ " <td>373</td>\n",
+ " <td>384.0</td>\n",
+ " <td>344</td>\n",
+ " <td>421</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3</td>\n",
+ " <td>2015-01-10</td>\n",
+ " <td>2015-01-16</td>\n",
+ " <td>383</td>\n",
+ " <td>347.8</td>\n",
+ " <td>319</td>\n",
+ " <td>373</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4</td>\n",
+ " <td>2015-01-17</td>\n",
+ " <td>2015-01-23</td>\n",
+ " <td>397</td>\n",
+ " <td>319.0</td>\n",
+ " <td>282</td>\n",
+ " <td>353</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5</td>\n",
+ " <td>2015-01-24</td>\n",
+ " <td>2015-01-30</td>\n",
+ " <td>374</td>\n",
+ " <td>309.2</td>\n",
+ " <td>284</td>\n",
+ " <td>336</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " Registration Week Week Starts (Saturday) Week Ends (Friday) \\\n",
+ " Unnamed: 0_level_1 Unnamed: 1_level_1 Unnamed: 2_level_1 \n",
+ "0 1 2014-12-29 2015-01-02 \n",
+ "1 2 2015-01-03 2015-01-09 \n",
+ "2 3 2015-01-10 2015-01-16 \n",
+ "3 4 2015-01-17 2015-01-23 \n",
+ "4 5 2015-01-24 2015-01-30 \n",
+ "\n",
+ " Total Number of Deaths Registered in Week (2015P) \\\n",
+ " Unnamed: 3_level_1 \n",
+ "0 319 \n",
+ "1 373 \n",
+ "2 383 \n",
+ "3 397 \n",
+ "4 374 \n",
+ "\n",
+ " Average number of deaths registered in corresponding week in previous 5 years (2010 to 2014P) \\\n",
+ " Unnamed: 4_level_1 \n",
+ "0 317.2 \n",
+ "1 384.0 \n",
+ "2 347.8 \n",
+ "3 319.0 \n",
+ "4 309.2 \n",
+ "\n",
+ " Range Unnamed: 6_level_0 \n",
+ " Minimum in Previous 5 years Maximum in Previous 5 years \n",
+ "0 248 372 \n",
+ "1 344 421 \n",
+ "2 319 373 \n",
+ "3 282 353 \n",
+ "4 284 336 "
+ ]
+ },
+ "execution_count": 399,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "raw_data_2015.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 400,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
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+ " .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>week</th>\n",
+ " <th>date_up_to</th>\n",
+ " <th>deaths</th>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>2015-01-02</td>\n",
+ " <td>319</td>\n",
+ " <td>2015</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
+ " <td>2015-01-09</td>\n",
+ " <td>373</td>\n",
+ " <td>2015</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3</td>\n",
+ " <td>2015-01-16</td>\n",
+ " <td>383</td>\n",
+ " <td>2015</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4</td>\n",
+ " <td>2015-01-23</td>\n",
+ " <td>397</td>\n",
+ " <td>2015</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5</td>\n",
+ " <td>2015-01-30</td>\n",
+ " <td>374</td>\n",
+ " <td>2015</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " week date_up_to deaths year nation\n",
+ "0 1 2015-01-02 319 2015 Northern Ireland\n",
+ "1 2 2015-01-09 373 2015 Northern Ireland\n",
+ "2 3 2015-01-16 383 2015 Northern Ireland\n",
+ "3 4 2015-01-23 397 2015 Northern Ireland\n",
+ "4 5 2015-01-30 374 2015 Northern Ireland"
+ ]
+ },
+ "execution_count": 400,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rd = raw_data_2015.iloc[:, [0, 2, 3]].droplevel(1, axis=1).rename(\n",
+ " columns={'Week Ends (Friday)': 'date_up_to', 'Total Number of Deaths Registered in Week (2015P)': 'deaths',\n",
+ " 'Registration Week': 'week'}\n",
+ " )\n",
+ "rd['year'] = 2015\n",
+ "rd['nation'] = 'Northern Ireland'\n",
+ "rd.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 401,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "rd.to_sql(\n",
+ " 'all_causes_deaths',\n",
+ " conn,\n",
+ " if_exists='append',\n",
+ " index=False)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 402,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " * postgresql://covid:***@localhost/covid\n",
+ "10 rows affected.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<table>\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th>week</th>\n",
+ " <th>year</th>\n",
+ " <th>date_up_to</th>\n",
+ " <th>nation</th>\n",
+ " <th>deaths</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <td>1</td>\n",
+ " <td>2015</td>\n",
+ " <td>2015-01-02</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>319</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2</td>\n",
+ " <td>2015</td>\n",
+ " <td>2015-01-09</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>373</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>3</td>\n",
+ " <td>2015</td>\n",
+ " <td>2015-01-16</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>383</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>4</td>\n",
+ " <td>2015</td>\n",
+ " <td>2015-01-23</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>397</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>5</td>\n",
+ " <td>2015</td>\n",
+ " <td>2015-01-30</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>374</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>6</td>\n",
+ " <td>2015</td>\n",
+ " <td>2015-02-06</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>347</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>7</td>\n",
+ " <td>2015</td>\n",
+ " <td>2015-02-13</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>328</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>8</td>\n",
+ " <td>2015</td>\n",
+ " <td>2015-02-20</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>317</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>9</td>\n",
+ " <td>2015</td>\n",
+ " <td>2015-02-27</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>401</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>10</td>\n",
+ " <td>2015</td>\n",
+ " <td>2015-03-06</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>346</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>"
+ ],
+ "text/plain": [
+ "[(1, 2015, datetime.date(2015, 1, 2), 'Northern Ireland', 319),\n",
+ " (2, 2015, datetime.date(2015, 1, 9), 'Northern Ireland', 373),\n",
+ " (3, 2015, datetime.date(2015, 1, 16), 'Northern Ireland', 383),\n",
+ " (4, 2015, datetime.date(2015, 1, 23), 'Northern Ireland', 397),\n",
+ " (5, 2015, datetime.date(2015, 1, 30), 'Northern Ireland', 374),\n",
+ " (6, 2015, datetime.date(2015, 2, 6), 'Northern Ireland', 347),\n",
+ " (7, 2015, datetime.date(2015, 2, 13), 'Northern Ireland', 328),\n",
+ " (8, 2015, datetime.date(2015, 2, 20), 'Northern Ireland', 317),\n",
+ " (9, 2015, datetime.date(2015, 2, 27), 'Northern Ireland', 401),\n",
+ " (10, 2015, datetime.date(2015, 3, 6), 'Northern Ireland', 346)]"
+ ]
+ },
+ "execution_count": 402,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "%sql select * from all_causes_deaths limit 10"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 526,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "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>total_2016</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>(Registration Week, Unnamed: 0_level_1)</th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>48</th>\n",
+ " <td>303</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>49</th>\n",
+ " <td>322</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50</th>\n",
+ " <td>324</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>51</th>\n",
+ " <td>360</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>52</th>\n",
+ " <td>199</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " total_2016\n",
+ "(Registration Week, Unnamed: 0_level_1) \n",
+ "48 303\n",
+ "49 322\n",
+ "50 324\n",
+ "51 360\n",
+ "52 199"
+ ]
+ },
+ "execution_count": 526,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "raw_data_2016 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2016.csv', \n",
+ " parse_dates=[1, 2], dayfirst=True,\n",
+ "# index_col=0,\n",
+ " header=[0, 1]\n",
+ " )\n",
+ "raw_data_2016.head()\n",
+ "# dh16i = raw_data_2016.iloc[:, [2]]\n",
+ "# dh16i.columns = ['total_2016']\n",
+ "# # dh16i.head()\n",
+ "dh16i = raw_data_2016.iloc[:, [0, 3]]\n",
+ "dh16i.set_index(dh16i.columns[0], inplace=True)\n",
+ "dh16i.columns = ['total_2016']\n",
+ "dh16i.tail()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 404,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\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>week</th>\n",
+ " <th>date_up_to</th>\n",
+ " <th>deaths</th>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>2016-01-08</td>\n",
+ " <td>424</td>\n",
+ " <td>2016</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
+ " <td>2016-01-15</td>\n",
+ " <td>348</td>\n",
+ " <td>2016</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3</td>\n",
+ " <td>2016-01-22</td>\n",
+ " <td>372</td>\n",
+ " <td>2016</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4</td>\n",
+ " <td>2016-01-29</td>\n",
+ " <td>355</td>\n",
+ " <td>2016</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5</td>\n",
+ " <td>2016-02-05</td>\n",
+ " <td>314</td>\n",
+ " <td>2016</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " week date_up_to deaths year nation\n",
+ "0 1 2016-01-08 424 2016 Northern Ireland\n",
+ "1 2 2016-01-15 348 2016 Northern Ireland\n",
+ "2 3 2016-01-22 372 2016 Northern Ireland\n",
+ "3 4 2016-01-29 355 2016 Northern Ireland\n",
+ "4 5 2016-02-05 314 2016 Northern Ireland"
+ ]
+ },
+ "execution_count": 404,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rd = raw_data_2016.iloc[:, [0, 2, 3]].droplevel(1, axis=1).rename(\n",
+ " columns={'Week Ends (Friday)': 'date_up_to', 'Total Number of Deaths Registered in Week (2016P)': 'deaths',\n",
+ " 'Registration Week': 'week'}\n",
+ " )\n",
+ "rd['year'] = 2016\n",
+ "rd['nation'] = 'Northern Ireland'\n",
+ "rd.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 405,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "rd.to_sql(\n",
+ " 'all_causes_deaths',\n",
+ " conn,\n",
+ " if_exists='append',\n",
+ " index=False)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 406,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " * postgresql://covid:***@localhost/covid\n",
+ "2 rows affected.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<table>\n",
+ " <thead>\n",
+ " <tr>\n",
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+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <td>2015</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2016</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>"
+ ],
+ "text/plain": [
+ "[(2015, 'Northern Ireland', 53), (2016, 'Northern Ireland', 52)]"
+ ]
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+ "execution_count": 406,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 527,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
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+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>total_2017</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>(Registration Week, Unnamed: 0_level_1)</th>\n",
+ " <th></th>\n",
+ " </tr>\n",
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+ " <td>354</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>52</th>\n",
+ " <td>249</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " total_2017\n",
+ "(Registration Week, Unnamed: 0_level_1) \n",
+ "48 355\n",
+ "49 324\n",
+ "50 372\n",
+ "51 354\n",
+ "52 249"
+ ]
+ },
+ "execution_count": 527,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "raw_data_2017 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2017.csv', \n",
+ " parse_dates=[1, 2], dayfirst=True,\n",
+ "# index_col=0,\n",
+ " header=[0, 1]\n",
+ " )\n",
+ "raw_data_2017.head()\n",
+ "dh17i = raw_data_2017.iloc[:, [0, 3]]\n",
+ "dh17i.set_index(dh17i.columns[0], inplace=True)\n",
+ "dh17i.columns = ['total_2017']\n",
+ "dh17i.tail()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 408,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
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+ " <th>deaths</th>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>2017-01-06</td>\n",
+ " <td>416</td>\n",
+ " <td>2017</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
+ " <td>2017-01-13</td>\n",
+ " <td>434</td>\n",
+ " <td>2017</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3</td>\n",
+ " <td>2017-01-20</td>\n",
+ " <td>397</td>\n",
+ " <td>2017</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4</td>\n",
+ " <td>2017-01-27</td>\n",
+ " <td>387</td>\n",
+ " <td>2017</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5</td>\n",
+ " <td>2017-02-03</td>\n",
+ " <td>371</td>\n",
+ " <td>2017</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " week date_up_to deaths year nation\n",
+ "0 1 2017-01-06 416 2017 Northern Ireland\n",
+ "1 2 2017-01-13 434 2017 Northern Ireland\n",
+ "2 3 2017-01-20 397 2017 Northern Ireland\n",
+ "3 4 2017-01-27 387 2017 Northern Ireland\n",
+ "4 5 2017-02-03 371 2017 Northern Ireland"
+ ]
+ },
+ "execution_count": 408,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rd = raw_data_2017.iloc[:, [0, 2, 3]].droplevel(1, axis=1).rename(\n",
+ " columns={'Week Ends (Friday)': 'date_up_to', 'Total Number of Deaths Registered in Week (2017P)': 'deaths',\n",
+ " 'Registration Week': 'week'}\n",
+ " )\n",
+ "rd['year'] = 2017\n",
+ "rd['nation'] = 'Northern Ireland'\n",
+ "rd.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 409,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "rd.to_sql(\n",
+ " 'all_causes_deaths',\n",
+ " conn,\n",
+ " if_exists='append',\n",
+ " index=False)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 410,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " * postgresql://covid:***@localhost/covid\n",
+ "3 rows affected.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<table>\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th>year</th>\n",
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+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
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+ " <td>Northern Ireland</td>\n",
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+ " <tr>\n",
+ " <td>2017</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2016</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>"
+ ],
+ "text/plain": [
+ "[(2015, 'Northern Ireland', 53),\n",
+ " (2017, 'Northern Ireland', 52),\n",
+ " (2016, 'Northern Ireland', 52)]"
+ ]
+ },
+ "execution_count": 410,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 528,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
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+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>total_2018</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>(Registration Week, Unnamed: 0_level_1)</th>\n",
+ " <th></th>\n",
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+ " <th>51</th>\n",
+ " <td>317</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>52</th>\n",
+ " <td>195</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " total_2018\n",
+ "(Registration Week, Unnamed: 0_level_1) \n",
+ "48 297\n",
+ "49 324\n",
+ "50 316\n",
+ "51 317\n",
+ "52 195"
+ ]
+ },
+ "execution_count": 528,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "raw_data_2018 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2018.csv', \n",
+ " parse_dates=[1, 2], dayfirst=True,\n",
+ "# index_col=0,\n",
+ " header=[0, 1]\n",
+ " )\n",
+ "raw_data_2018.head()\n",
+ "dh18i = raw_data_2018.iloc[:, [0, 3]]\n",
+ "dh18i.set_index(dh18i.columns[0], inplace=True)\n",
+ "dh18i.columns = ['total_2018']\n",
+ "dh18i.tail()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 412,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
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+ " vertical-align: top;\n",
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+ " .dataframe thead th {\n",
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+ " <thead>\n",
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+ " <th></th>\n",
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+ " <th>date_up_to</th>\n",
+ " <th>deaths</th>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>2018-01-05</td>\n",
+ " <td>447</td>\n",
+ " <td>2018</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
+ " <td>2018-01-12</td>\n",
+ " <td>481</td>\n",
+ " <td>2018</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3</td>\n",
+ " <td>2018-01-19</td>\n",
+ " <td>470</td>\n",
+ " <td>2018</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4</td>\n",
+ " <td>2018-01-26</td>\n",
+ " <td>426</td>\n",
+ " <td>2018</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5</td>\n",
+ " <td>2018-02-02</td>\n",
+ " <td>433</td>\n",
+ " <td>2018</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " week date_up_to deaths year nation\n",
+ "0 1 2018-01-05 447 2018 Northern Ireland\n",
+ "1 2 2018-01-12 481 2018 Northern Ireland\n",
+ "2 3 2018-01-19 470 2018 Northern Ireland\n",
+ "3 4 2018-01-26 426 2018 Northern Ireland\n",
+ "4 5 2018-02-02 433 2018 Northern Ireland"
+ ]
+ },
+ "execution_count": 412,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rd = raw_data_2018.iloc[:, [0, 2, 3]].droplevel(1, axis=1).rename(\n",
+ " columns={'Week Ends (Friday)': 'date_up_to', 'Total Number of Deaths Registered in Week (2018P)': 'deaths',\n",
+ " 'Registration Week': 'week'}\n",
+ " )\n",
+ "rd['year'] = 2018\n",
+ "rd['nation'] = 'Northern Ireland'\n",
+ "rd.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 413,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "rd.to_sql(\n",
+ " 'all_causes_deaths',\n",
+ " conn,\n",
+ " if_exists='append',\n",
+ " index=False)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 414,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " * postgresql://covid:***@localhost/covid\n",
+ "4 rows affected.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<table>\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th>year</th>\n",
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+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <td>2015</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>53</td>\n",
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+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
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+ " <tr>\n",
+ " <td>2017</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2016</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
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+ "</table>"
+ ],
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+ " (2018, 'Northern Ireland', 52),\n",
+ " (2017, 'Northern Ireland', 52),\n",
+ " (2016, 'Northern Ireland', 52)]"
+ ]
+ },
+ "execution_count": 414,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 529,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
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+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>total_2019</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>(Registration Week, Unnamed: 0_level_1)</th>\n",
+ " <th></th>\n",
+ " </tr>\n",
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+ " <tr>\n",
+ " <th>51</th>\n",
+ " <td>363</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>52</th>\n",
+ " <td>194</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " total_2019\n",
+ "(Registration Week, Unnamed: 0_level_1) \n",
+ "48 334\n",
+ "49 351\n",
+ "50 353\n",
+ "51 363\n",
+ "52 194"
+ ]
+ },
+ "execution_count": 529,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "raw_data_2019 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2019.csv', \n",
+ " parse_dates=[1, 2], dayfirst=True,\n",
+ "# index_col=0,\n",
+ " header=[0, 1]\n",
+ " )\n",
+ "raw_data_2019.head()\n",
+ "dh19i = raw_data_2019.iloc[:, [0, 3]]\n",
+ "dh19i.set_index(dh19i.columns[0], inplace=True)\n",
+ "dh19i.columns = ['total_2019']\n",
+ "dh19i.tail()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 416,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "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>week</th>\n",
+ " <th>date_up_to</th>\n",
+ " <th>deaths</th>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>2019-01-04</td>\n",
+ " <td>365</td>\n",
+ " <td>2019</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
+ " <td>2019-01-11</td>\n",
+ " <td>371</td>\n",
+ " <td>2019</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3</td>\n",
+ " <td>2019-01-18</td>\n",
+ " <td>332</td>\n",
+ " <td>2019</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4</td>\n",
+ " <td>2019-01-25</td>\n",
+ " <td>335</td>\n",
+ " <td>2019</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5</td>\n",
+ " <td>2019-02-01</td>\n",
+ " <td>296</td>\n",
+ " <td>2019</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " week date_up_to deaths year nation\n",
+ "0 1 2019-01-04 365 2019 Northern Ireland\n",
+ "1 2 2019-01-11 371 2019 Northern Ireland\n",
+ "2 3 2019-01-18 332 2019 Northern Ireland\n",
+ "3 4 2019-01-25 335 2019 Northern Ireland\n",
+ "4 5 2019-02-01 296 2019 Northern Ireland"
+ ]
+ },
+ "execution_count": 416,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rd = raw_data_2019.iloc[:, [0, 2, 3]].droplevel(1, axis=1).rename(\n",
+ " columns={'Week Ends (Friday)': 'date_up_to', 'Total Number of Deaths Registered in Week (2019P)': 'deaths',\n",
+ " 'Registration Week': 'week'}\n",
+ " )\n",
+ "rd['year'] = 2019\n",
+ "rd['nation'] = 'Northern Ireland'\n",
+ "rd.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 417,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "rd.to_sql(\n",
+ " 'all_causes_deaths',\n",
+ " conn,\n",
+ " if_exists='append',\n",
+ " index=False)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 418,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " * postgresql://covid:***@localhost/covid\n",
+ "5 rows affected.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<table>\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " <th>count</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <td>2015</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2017</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2016</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>"
+ ],
+ "text/plain": [
+ "[(2015, 'Northern Ireland', 53),\n",
+ " (2018, 'Northern Ireland', 52),\n",
+ " (2019, 'Northern Ireland', 52),\n",
+ " (2017, 'Northern Ireland', 52),\n",
+ " (2016, 'Northern Ireland', 52)]"
+ ]
+ },
+ "execution_count": 418,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 419,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
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+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead tr th {\n",
+ " text-align: left;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th></th>\n",
+ " <th>Registration Week</th>\n",
+ " <th>Week Ending (Friday)</th>\n",
+ " <th>Total Number of Deaths Registered in Week (2020P)</th>\n",
+ " <th>Average number of deaths registered in corresponding week over previous 5 years (2015 to 2019P)</th>\n",
+ " <th>Range</th>\n",
+ " <th>Unnamed: 5_level_0</th>\n",
+ " <th>Respiratory2 deaths registered in week (2020P)</th>\n",
+ " <th>Average number of respiratory2 deaths registered in corresponding week over previous 5 years (2015 to 2019P)</th>\n",
+ " <th>Covid-193 deaths registered in week (2020P)</th>\n",
+ " <th>Unnamed: 9_level_0</th>\n",
+ " <th>Unnamed: 10_level_0</th>\n",
+ " <th>Unnamed: 11_level_0</th>\n",
+ " <th>Unnamed: 12_level_0</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th></th>\n",
+ " <th>Unnamed: 0_level_1</th>\n",
+ " <th>Unnamed: 1_level_1</th>\n",
+ " <th>Unnamed: 2_level_1</th>\n",
+ " <th>Unnamed: 3_level_1</th>\n",
+ " <th>Minimum in Previous 5 years</th>\n",
+ " <th>Maximum in Previous 5 years</th>\n",
+ " <th>Unnamed: 6_level_1</th>\n",
+ " <th>Unnamed: 7_level_1</th>\n",
+ " <th>Unnamed: 8_level_1</th>\n",
+ " <th>Unnamed: 9_level_1</th>\n",
+ " <th>Unnamed: 10_level_1</th>\n",
+ " <th>Unnamed: 11_level_1</th>\n",
+ " <th>Unnamed: 12_level_1</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>2020-01-03</td>\n",
+ " <td>353</td>\n",
+ " <td>250.0</td>\n",
+ " <td>199</td>\n",
+ " <td>365</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
+ " <td>2020-01-10</td>\n",
+ " <td>395</td>\n",
+ " <td>402.2</td>\n",
+ " <td>319</td>\n",
+ " <td>481</td>\n",
+ " <td>131</td>\n",
+ " <td>144</td>\n",
+ " <td>0</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3</td>\n",
+ " <td>2020-01-17</td>\n",
+ " <td>411</td>\n",
+ " <td>391.4</td>\n",
+ " <td>332</td>\n",
+ " <td>470</td>\n",
+ " <td>116</td>\n",
+ " <td>127.6</td>\n",
+ " <td>0</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4</td>\n",
+ " <td>2020-01-24</td>\n",
+ " <td>347</td>\n",
+ " <td>382.6</td>\n",
+ " <td>335</td>\n",
+ " <td>426</td>\n",
+ " <td>113</td>\n",
+ " <td>123.8</td>\n",
+ " <td>0</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5</td>\n",
+ " <td>2020-01-31</td>\n",
+ " <td>323</td>\n",
+ " <td>373.6</td>\n",
+ " <td>296</td>\n",
+ " <td>433</td>\n",
+ " <td>78</td>\n",
+ " <td>124</td>\n",
+ " <td>0</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " Registration Week Week Ending (Friday) \\\n",
+ " Unnamed: 0_level_1 Unnamed: 1_level_1 \n",
+ "0 1 2020-01-03 \n",
+ "1 2 2020-01-10 \n",
+ "2 3 2020-01-17 \n",
+ "3 4 2020-01-24 \n",
+ "4 5 2020-01-31 \n",
+ "\n",
+ " Total Number of Deaths Registered in Week (2020P) \\\n",
+ " Unnamed: 2_level_1 \n",
+ "0 353 \n",
+ "1 395 \n",
+ "2 411 \n",
+ "3 347 \n",
+ "4 323 \n",
+ "\n",
+ " Average number of deaths registered in corresponding week over previous 5 years (2015 to 2019P) \\\n",
+ " Unnamed: 3_level_1 \n",
+ "0 250.0 \n",
+ "1 402.2 \n",
+ "2 391.4 \n",
+ "3 382.6 \n",
+ "4 373.6 \n",
+ "\n",
+ " Range Unnamed: 5_level_0 \\\n",
+ " Minimum in Previous 5 years Maximum in Previous 5 years \n",
+ "0 199 365 \n",
+ "1 319 481 \n",
+ "2 332 470 \n",
+ "3 335 426 \n",
+ "4 296 433 \n",
+ "\n",
+ " Respiratory2 deaths registered in week (2020P) \\\n",
+ " Unnamed: 6_level_1 \n",
+ "0 0 \n",
+ "1 131 \n",
+ "2 116 \n",
+ "3 113 \n",
+ "4 78 \n",
+ "\n",
+ " Average number of respiratory2 deaths registered in corresponding week over previous 5 years (2015 to 2019P) \\\n",
+ " Unnamed: 7_level_1 \n",
+ "0 0 \n",
+ "1 144 \n",
+ "2 127.6 \n",
+ "3 123.8 \n",
+ "4 124 \n",
+ "\n",
+ " Covid-193 deaths registered in week (2020P) Unnamed: 9_level_0 \\\n",
+ " Unnamed: 8_level_1 Unnamed: 9_level_1 \n",
+ "0 0 NaN \n",
+ "1 0 NaN \n",
+ "2 0 NaN \n",
+ "3 0 NaN \n",
+ "4 0 NaN \n",
+ "\n",
+ " Unnamed: 10_level_0 Unnamed: 11_level_0 Unnamed: 12_level_0 \n",
+ " Unnamed: 10_level_1 Unnamed: 11_level_1 Unnamed: 12_level_1 \n",
+ "0 NaN NaN NaN \n",
+ "1 NaN NaN NaN \n",
+ "2 NaN NaN NaN \n",
+ "3 NaN NaN NaN \n",
+ "4 NaN NaN NaN "
+ ]
+ },
+ "execution_count": 419,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "raw_data_2020_i = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2020.csv', \n",
+ " parse_dates=[1], dayfirst=True,\n",
+ " header=[0, 1]\n",
+ " )\n",
+ "raw_data_2020_i.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 420,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
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+ " .dataframe tbody tr th {\n",
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+ " .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>week</th>\n",
+ " <th>date_up_to</th>\n",
+ " <th>deaths</th>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>2020-01-03</td>\n",
+ " <td>353</td>\n",
+ " <td>2020</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
+ " <td>2020-01-10</td>\n",
+ " <td>395</td>\n",
+ " <td>2020</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3</td>\n",
+ " <td>2020-01-17</td>\n",
+ " <td>411</td>\n",
+ " <td>2020</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4</td>\n",
+ " <td>2020-01-24</td>\n",
+ " <td>347</td>\n",
+ " <td>2020</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5</td>\n",
+ " <td>2020-01-31</td>\n",
+ " <td>323</td>\n",
+ " <td>2020</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " week date_up_to deaths year nation\n",
+ "0 1 2020-01-03 353 2020 Northern Ireland\n",
+ "1 2 2020-01-10 395 2020 Northern Ireland\n",
+ "2 3 2020-01-17 411 2020 Northern Ireland\n",
+ "3 4 2020-01-24 347 2020 Northern Ireland\n",
+ "4 5 2020-01-31 323 2020 Northern Ireland"
+ ]
+ },
+ "execution_count": 420,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rd = raw_data_2020_i.iloc[:, [0, 1, 2]].droplevel(1, axis=1).rename(\n",
+ " columns={'Week Ending (Friday)': 'date_up_to', 'Total Number of Deaths Registered in Week (2020P)': 'deaths',\n",
+ " 'Registration Week': 'week'}\n",
+ " )\n",
+ "rd['year'] = 2020\n",
+ "rd['nation'] = 'Northern Ireland'\n",
+ "rd.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 421,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\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>week</th>\n",
+ " <th>date_up_to</th>\n",
+ " <th>deaths</th>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>48</th>\n",
+ " <td>49</td>\n",
+ " <td>2020-12-04</td>\n",
+ " <td>387</td>\n",
+ " <td>2020</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>49</th>\n",
+ " <td>50</td>\n",
+ " <td>2020-12-11</td>\n",
+ " <td>366</td>\n",
+ " <td>2020</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50</th>\n",
+ " <td>51</td>\n",
+ " <td>2020-12-18</td>\n",
+ " <td>350</td>\n",
+ " <td>2020</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>51</th>\n",
+ " <td>52</td>\n",
+ " <td>2020-12-25</td>\n",
+ " <td>310</td>\n",
+ " <td>2020</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>52</th>\n",
+ " <td>53</td>\n",
+ " <td>2021-01-01</td>\n",
+ " <td>333</td>\n",
+ " <td>2020</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " week date_up_to deaths year nation\n",
+ "48 49 2020-12-04 387 2020 Northern Ireland\n",
+ "49 50 2020-12-11 366 2020 Northern Ireland\n",
+ "50 51 2020-12-18 350 2020 Northern Ireland\n",
+ "51 52 2020-12-25 310 2020 Northern Ireland\n",
+ "52 53 2021-01-01 333 2020 Northern Ireland"
+ ]
+ },
+ "execution_count": 421,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rd.tail()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 422,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "rd.to_sql(\n",
+ " 'all_causes_deaths',\n",
+ " conn,\n",
+ " if_exists='append',\n",
+ " index=False)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 423,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " * postgresql://covid:***@localhost/covid\n",
+ "6 rows affected.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<table>\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " <th>count</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <td>2015</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2016</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2017</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>"
+ ],
+ "text/plain": [
+ "[(2015, 'Northern Ireland', 53),\n",
+ " (2016, 'Northern Ireland', 52),\n",
+ " (2017, 'Northern Ireland', 52),\n",
+ " (2018, 'Northern Ireland', 52),\n",
+ " (2019, 'Northern Ireland', 52),\n",
+ " (2020, 'Northern Ireland', 53)]"
+ ]
+ },
+ "execution_count": 423,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 521,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead tr th {\n",
+ " text-align: left;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead tr:last-of-type th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th></th>\n",
+ " <th>Week Ending (Friday)</th>\n",
+ " <th>Total Number of Deaths Registered in Week (2020P)</th>\n",
+ " <th>Average number of deaths registered in corresponding week over previous 5 years (2015 to 2019P)</th>\n",
+ " <th>Range</th>\n",
+ " <th>Unnamed: 5_level_0</th>\n",
+ " <th>Respiratory2 deaths registered in week (2020P)</th>\n",
+ " <th>Average number of respiratory2 deaths registered in corresponding week over previous 5 years (2015 to 2019P)</th>\n",
+ " <th>Covid-193 deaths registered in week (2020P)</th>\n",
+ " <th>Unnamed: 9_level_0</th>\n",
+ " <th>Unnamed: 10_level_0</th>\n",
+ " <th>Unnamed: 11_level_0</th>\n",
+ " <th>Unnamed: 12_level_0</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th></th>\n",
+ " <th>Unnamed: 1_level_1</th>\n",
+ " <th>Unnamed: 2_level_1</th>\n",
+ " <th>Unnamed: 3_level_1</th>\n",
+ " <th>Minimum in Previous 5 years</th>\n",
+ " <th>Maximum in Previous 5 years</th>\n",
+ " <th>Unnamed: 6_level_1</th>\n",
+ " <th>Unnamed: 7_level_1</th>\n",
+ " <th>Unnamed: 8_level_1</th>\n",
+ " <th>Unnamed: 9_level_1</th>\n",
+ " <th>Unnamed: 10_level_1</th>\n",
+ " <th>Unnamed: 11_level_1</th>\n",
+ " <th>Unnamed: 12_level_1</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>(Registration Week, Unnamed: 0_level_1)</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>49</th>\n",
+ " <td>2020-12-04</td>\n",
+ " <td>387</td>\n",
+ " <td>322.0</td>\n",
+ " <td>279</td>\n",
+ " <td>355</td>\n",
+ " <td>-</td>\n",
+ " <td>-</td>\n",
+ " <td>-</td>\n",
+ " <td>155.0</td>\n",
+ " <td>87.0</td>\n",
+ " <td>-</td>\n",
+ " <td>98.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50</th>\n",
+ " <td>2020-12-11</td>\n",
+ " <td>366</td>\n",
+ " <td>322.0</td>\n",
+ " <td>294</td>\n",
+ " <td>353</td>\n",
+ " <td>-</td>\n",
+ " <td>-</td>\n",
+ " <td>-</td>\n",
+ " <td>138.0</td>\n",
+ " <td>93.0</td>\n",
+ " <td>-</td>\n",
+ " <td>87.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>51</th>\n",
+ " <td>2020-12-18</td>\n",
+ " <td>350</td>\n",
+ " <td>344.0</td>\n",
+ " <td>317</td>\n",
+ " <td>372</td>\n",
+ " <td>-</td>\n",
+ " <td>-</td>\n",
+ " <td>-</td>\n",
+ " <td>140.0</td>\n",
+ " <td>102.0</td>\n",
+ " <td>-</td>\n",
+ " <td>82.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>52</th>\n",
+ " <td>2020-12-25</td>\n",
+ " <td>310</td>\n",
+ " <td>281.0</td>\n",
+ " <td>194</td>\n",
+ " <td>360</td>\n",
+ " <td>-</td>\n",
+ " <td>-</td>\n",
+ " <td>-</td>\n",
+ " <td>132.0</td>\n",
+ " <td>92.0</td>\n",
+ " <td>-</td>\n",
+ " <td>88.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>53</th>\n",
+ " <td>2021-01-01</td>\n",
+ " <td>333</td>\n",
+ " <td>280.0</td>\n",
+ " <td>199</td>\n",
+ " <td>365</td>\n",
+ " <td>-</td>\n",
+ " <td>-</td>\n",
+ " <td>-</td>\n",
+ " <td>146.0</td>\n",
+ " <td>97.0</td>\n",
+ " <td>-</td>\n",
+ " <td>94.0</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " Week Ending (Friday) \\\n",
+ " Unnamed: 1_level_1 \n",
+ "(Registration Week, Unnamed: 0_level_1) \n",
+ "49 2020-12-04 \n",
+ "50 2020-12-11 \n",
+ "51 2020-12-18 \n",
+ "52 2020-12-25 \n",
+ "53 2021-01-01 \n",
+ "\n",
+ " Total Number of Deaths Registered in Week (2020P) \\\n",
+ " Unnamed: 2_level_1 \n",
+ "(Registration Week, Unnamed: 0_level_1) \n",
+ "49 387 \n",
+ "50 366 \n",
+ "51 350 \n",
+ "52 310 \n",
+ "53 333 \n",
+ "\n",
+ " Average number of deaths registered in corresponding week over previous 5 years (2015 to 2019P) \\\n",
+ " Unnamed: 3_level_1 \n",
+ "(Registration Week, Unnamed: 0_level_1) \n",
+ "49 322.0 \n",
+ "50 322.0 \n",
+ "51 344.0 \n",
+ "52 281.0 \n",
+ "53 280.0 \n",
+ "\n",
+ " Range \\\n",
+ " Minimum in Previous 5 years \n",
+ "(Registration Week, Unnamed: 0_level_1) \n",
+ "49 279 \n",
+ "50 294 \n",
+ "51 317 \n",
+ "52 194 \n",
+ "53 199 \n",
+ "\n",
+ " Unnamed: 5_level_0 \\\n",
+ " Maximum in Previous 5 years \n",
+ "(Registration Week, Unnamed: 0_level_1) \n",
+ "49 355 \n",
+ "50 353 \n",
+ "51 372 \n",
+ "52 360 \n",
+ "53 365 \n",
+ "\n",
+ " Respiratory2 deaths registered in week (2020P) \\\n",
+ " Unnamed: 6_level_1 \n",
+ "(Registration Week, Unnamed: 0_level_1) \n",
+ "49 - \n",
+ "50 - \n",
+ "51 - \n",
+ "52 - \n",
+ "53 - \n",
+ "\n",
+ " Average number of respiratory2 deaths registered in corresponding week over previous 5 years (2015 to 2019P) \\\n",
+ " Unnamed: 7_level_1 \n",
+ "(Registration Week, Unnamed: 0_level_1) \n",
+ "49 - \n",
+ "50 - \n",
+ "51 - \n",
+ "52 - \n",
+ "53 - \n",
+ "\n",
+ " Covid-193 deaths registered in week (2020P) \\\n",
+ " Unnamed: 8_level_1 \n",
+ "(Registration Week, Unnamed: 0_level_1) \n",
+ "49 - \n",
+ "50 - \n",
+ "51 - \n",
+ "52 - \n",
+ "53 - \n",
+ "\n",
+ " Unnamed: 9_level_0 \\\n",
+ " Unnamed: 9_level_1 \n",
+ "(Registration Week, Unnamed: 0_level_1) \n",
+ "49 155.0 \n",
+ "50 138.0 \n",
+ "51 140.0 \n",
+ "52 132.0 \n",
+ "53 146.0 \n",
+ "\n",
+ " Unnamed: 10_level_0 \\\n",
+ " Unnamed: 10_level_1 \n",
+ "(Registration Week, Unnamed: 0_level_1) \n",
+ "49 87.0 \n",
+ "50 93.0 \n",
+ "51 102.0 \n",
+ "52 92.0 \n",
+ "53 97.0 \n",
+ "\n",
+ " Unnamed: 11_level_0 \\\n",
+ " Unnamed: 11_level_1 \n",
+ "(Registration Week, Unnamed: 0_level_1) \n",
+ "49 - \n",
+ "50 - \n",
+ "51 - \n",
+ "52 - \n",
+ "53 - \n",
+ "\n",
+ " Unnamed: 12_level_0 \n",
+ " Unnamed: 12_level_1 \n",
+ "(Registration Week, Unnamed: 0_level_1) \n",
+ "49 98.0 \n",
+ "50 87.0 \n",
+ "51 82.0 \n",
+ "52 88.0 \n",
+ "53 94.0 "
+ ]
+ },
+ "execution_count": 521,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "raw_data_2020_i.set_index(raw_data_2020_i.columns[0], inplace=True)\n",
+ "raw_data_2020_i.tail()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 424,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(2021, 3, 1)"
+ ]
+ },
+ "execution_count": 424,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "datetime.datetime.now().isocalendar()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 425,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "datetime.datetime(2021, 1, 18, 0, 0)"
+ ]
+ },
+ "execution_count": 425,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "datetime.datetime.fromisocalendar(2021, 3, 1)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 426,
+ "metadata": {
+ "Collapsed": "false",
+ "scrolled": true
+ },
+ "outputs": [],
+ "source": [
+ "raw_data_s = pd.read_csv('uk-deaths-data/weekly-deaths-scotland.csv', \n",
+ " index_col=0,\n",
+ " header=0,\n",
+ " skiprows=2\n",
+ " )\n",
+ "# raw_data_s"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 427,
+ "metadata": {
+ "Collapsed": "false",
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
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+ " .dataframe tbody tr th {\n",
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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>total_2020</th>\n",
+ " <th>total_2019</th>\n",
+ " <th>total_2018</th>\n",
+ " <th>total_2017</th>\n",
+ " <th>total_2016</th>\n",
+ " <th>total_2015</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>1161</td>\n",
+ " <td>1104.0</td>\n",
+ " <td>1531.0</td>\n",
+ " <td>1205.0</td>\n",
+ " <td>1394.0</td>\n",
+ " <td>1146</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>1567</td>\n",
+ " <td>1507.0</td>\n",
+ " <td>1899.0</td>\n",
+ " <td>1379.0</td>\n",
+ " <td>1305.0</td>\n",
+ " <td>1708</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>1322</td>\n",
+ " <td>1353.0</td>\n",
+ " <td>1629.0</td>\n",
+ " <td>1224.0</td>\n",
+ " <td>1215.0</td>\n",
+ " <td>1489</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>1226</td>\n",
+ " <td>1208.0</td>\n",
+ " <td>1610.0</td>\n",
+ " <td>1197.0</td>\n",
+ " <td>1187.0</td>\n",
+ " <td>1381</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5</th>\n",
+ " <td>1188</td>\n",
+ " <td>1206.0</td>\n",
+ " <td>1369.0</td>\n",
+ " <td>1332.0</td>\n",
+ " <td>1205.0</td>\n",
+ " <td>1286</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6</th>\n",
+ " <td>1216</td>\n",
+ " <td>1243.0</td>\n",
+ " <td>1265.0</td>\n",
+ " <td>1200.0</td>\n",
+ " <td>1217.0</td>\n",
+ " <td>1344</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7</th>\n",
+ " <td>1162</td>\n",
+ " <td>1181.0</td>\n",
+ " <td>1315.0</td>\n",
+ " <td>1231.0</td>\n",
+ " <td>1209.0</td>\n",
+ " <td>1360</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8</th>\n",
+ " <td>1162</td>\n",
+ " <td>1245.0</td>\n",
+ " <td>1245.0</td>\n",
+ " <td>1185.0</td>\n",
+ " <td>1239.0</td>\n",
+ " <td>1320</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9</th>\n",
+ " <td>1171</td>\n",
+ " <td>1125.0</td>\n",
+ " <td>1022.0</td>\n",
+ " <td>1219.0</td>\n",
+ " <td>1150.0</td>\n",
+ " <td>1308</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>10</th>\n",
+ " <td>1208</td>\n",
+ " <td>1156.0</td>\n",
+ " <td>1475.0</td>\n",
+ " <td>1146.0</td>\n",
+ " <td>1174.0</td>\n",
+ " <td>1192</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>11</th>\n",
+ " <td>1156</td>\n",
+ " <td>1108.0</td>\n",
+ " <td>1220.0</td>\n",
+ " <td>1141.0</td>\n",
+ " <td>1175.0</td>\n",
+ " <td>1201</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>12</th>\n",
+ " <td>1196</td>\n",
+ " <td>1101.0</td>\n",
+ " <td>1158.0</td>\n",
+ " <td>1152.0</td>\n",
+ " <td>1042.0</td>\n",
+ " <td>1149</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>13</th>\n",
+ " <td>1079</td>\n",
+ " <td>1086.0</td>\n",
+ " <td>1050.0</td>\n",
+ " <td>1112.0</td>\n",
+ " <td>1172.0</td>\n",
+ " <td>1171</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>14</th>\n",
+ " <td>1744</td>\n",
+ " <td>1032.0</td>\n",
+ " <td>1192.0</td>\n",
+ " <td>1060.0</td>\n",
+ " <td>1166.0</td>\n",
+ " <td>1042</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15</th>\n",
+ " <td>1978</td>\n",
+ " <td>1069.0</td>\n",
+ " <td>1192.0</td>\n",
+ " <td>998.0</td>\n",
+ " <td>1048.0</td>\n",
+ " <td>1192</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16</th>\n",
+ " <td>1916</td>\n",
+ " <td>902.0</td>\n",
+ " <td>1136.0</td>\n",
+ " <td>1111.0</td>\n",
+ " <td>1092.0</td>\n",
+ " <td>1095</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17</th>\n",
+ " <td>1836</td>\n",
+ " <td>1121.0</td>\n",
+ " <td>1008.0</td>\n",
+ " <td>1121.0</td>\n",
+ " <td>1076.0</td>\n",
+ " <td>1108</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>18</th>\n",
+ " <td>1679</td>\n",
+ " <td>1131.0</td>\n",
+ " <td>1093.0</td>\n",
+ " <td>1050.0</td>\n",
+ " <td>1006.0</td>\n",
+ " <td>1117</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>19</th>\n",
+ " <td>1435</td>\n",
+ " <td>1018.0</td>\n",
+ " <td>967.0</td>\n",
+ " <td>1119.0</td>\n",
+ " <td>1047.0</td>\n",
+ " <td>1020</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>20</th>\n",
+ " <td>1421</td>\n",
+ " <td>1115.0</td>\n",
+ " <td>977.0</td>\n",
+ " <td>1115.0</td>\n",
+ " <td>1010.0</td>\n",
+ " <td>1103</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>21</th>\n",
+ " <td>1226</td>\n",
+ " <td>1061.0</td>\n",
+ " <td>1070.0</td>\n",
+ " <td>1063.0</td>\n",
+ " <td>994.0</td>\n",
+ " <td>1039</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>22</th>\n",
+ " <td>1125</td>\n",
+ " <td>1029.0</td>\n",
+ " <td>998.0</td>\n",
+ " <td>1015.0</td>\n",
+ " <td>999.0</td>\n",
+ " <td>1043</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>23</th>\n",
+ " <td>1093</td>\n",
+ " <td>1042.0</td>\n",
+ " <td>1033.0</td>\n",
+ " <td>1076.0</td>\n",
+ " <td>1023.0</td>\n",
+ " <td>1106</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24</th>\n",
+ " <td>1034</td>\n",
+ " <td>1028.0</td>\n",
+ " <td>915.0</td>\n",
+ " <td>1031.0</td>\n",
+ " <td>988.0</td>\n",
+ " <td>1038</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>25</th>\n",
+ " <td>1065</td>\n",
+ " <td>1053.0</td>\n",
+ " <td>993.0</td>\n",
+ " <td>1032.0</td>\n",
+ " <td>994.0</td>\n",
+ " <td>1025</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>26</th>\n",
+ " <td>1008</td>\n",
+ " <td>1051.0</td>\n",
+ " <td>1046.0</td>\n",
+ " <td>994.0</td>\n",
+ " <td>1007.0</td>\n",
+ " <td>1032</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>27</th>\n",
+ " <td>983</td>\n",
+ " <td>981.0</td>\n",
+ " <td>1041.0</td>\n",
+ " <td>1040.0</td>\n",
+ " <td>988.0</td>\n",
+ " <td>1040</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>28</th>\n",
+ " <td>976</td>\n",
+ " <td>1077.0</td>\n",
+ " <td>1002.0</td>\n",
+ " <td>1014.0</td>\n",
+ " <td>1022.0</td>\n",
+ " <td>1011</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>29</th>\n",
+ " <td>1033</td>\n",
+ " <td>964.0</td>\n",
+ " <td>928.0</td>\n",
+ " <td>1025.0</td>\n",
+ " <td>1041.0</td>\n",
+ " <td>1023</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>30</th>\n",
+ " <td>961</td>\n",
+ " <td>1041.0</td>\n",
+ " <td>933.0</td>\n",
+ " <td>978.0</td>\n",
+ " <td>979.0</td>\n",
+ " <td>956</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>31</th>\n",
+ " <td>1043</td>\n",
+ " <td>1020.0</td>\n",
+ " <td>969.0</td>\n",
+ " <td>1011.0</td>\n",
+ " <td>987.0</td>\n",
+ " <td>985</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>32</th>\n",
+ " <td>1011</td>\n",
+ " <td>1018.0</td>\n",
+ " <td>953.0</td>\n",
+ " <td>1002.0</td>\n",
+ " <td>997.0</td>\n",
+ " <td>1043</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>33</th>\n",
+ " <td>922</td>\n",
+ " <td>1028.0</td>\n",
+ " <td>978.0</td>\n",
+ " <td>1004.0</td>\n",
+ " <td>982.0</td>\n",
+ " <td>969</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>34</th>\n",
+ " <td>1046</td>\n",
+ " <td>1011.0</td>\n",
+ " <td>941.0</td>\n",
+ " <td>1045.0</td>\n",
+ " <td>1017.0</td>\n",
+ " <td>982</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>35</th>\n",
+ " <td>1029</td>\n",
+ " <td>1013.0</td>\n",
+ " <td>930.0</td>\n",
+ " <td>980.0</td>\n",
+ " <td>1039.0</td>\n",
+ " <td>954</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>36</th>\n",
+ " <td>1050</td>\n",
+ " <td>980.0</td>\n",
+ " <td>970.0</td>\n",
+ " <td>1006.0</td>\n",
+ " <td>1007.0</td>\n",
+ " <td>977</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>37</th>\n",
+ " <td>1069</td>\n",
+ " <td>1074.0</td>\n",
+ " <td>1020.0</td>\n",
+ " <td>972.0</td>\n",
+ " <td>983.0</td>\n",
+ " <td>991</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>38</th>\n",
+ " <td>952</td>\n",
+ " <td>1071.0</td>\n",
+ " <td>946.0</td>\n",
+ " <td>1049.0</td>\n",
+ " <td>966.0</td>\n",
+ " <td>1001</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>39</th>\n",
+ " <td>933</td>\n",
+ " <td>1142.0</td>\n",
+ " <td>1015.0</td>\n",
+ " <td>1056.0</td>\n",
+ " <td>1009.0</td>\n",
+ " <td>1010</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>40</th>\n",
+ " <td>1195</td>\n",
+ " <td>1051.0</td>\n",
+ " <td>1042.0</td>\n",
+ " <td>1016.0</td>\n",
+ " <td>1072.0</td>\n",
+ " <td>1008</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>41</th>\n",
+ " <td>1071</td>\n",
+ " <td>1143.0</td>\n",
+ " <td>1081.0</td>\n",
+ " <td>1133.0</td>\n",
+ " <td>1009.0</td>\n",
+ " <td>1028</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>42</th>\n",
+ " <td>1131</td>\n",
+ " <td>1153.0</td>\n",
+ " <td>1031.0</td>\n",
+ " <td>1067.0</td>\n",
+ " <td>1070.0</td>\n",
+ " <td>989</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>43</th>\n",
+ " <td>1187</td>\n",
+ " <td>1115.0</td>\n",
+ " <td>1019.0</td>\n",
+ " <td>1095.0</td>\n",
+ " <td>1052.0</td>\n",
+ " <td>981</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>44</th>\n",
+ " <td>1262</td>\n",
+ " <td>1101.0</td>\n",
+ " <td>1085.0</td>\n",
+ " <td>1062.0</td>\n",
+ " <td>1032.0</td>\n",
+ " <td>1116</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>45</th>\n",
+ " <td>1250</td>\n",
+ " <td>1184.0</td>\n",
+ " <td>1144.0</td>\n",
+ " <td>1126.0</td>\n",
+ " <td>1043.0</td>\n",
+ " <td>1028</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>46</th>\n",
+ " <td>1138</td>\n",
+ " <td>1160.0</td>\n",
+ " <td>1084.0</td>\n",
+ " <td>1175.0</td>\n",
+ " <td>1174.0</td>\n",
+ " <td>1103</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>47</th>\n",
+ " <td>1360</td>\n",
+ " <td>1229.0</td>\n",
+ " <td>1058.0</td>\n",
+ " <td>1178.0</td>\n",
+ " <td>1132.0</td>\n",
+ " <td>1054</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>48</th>\n",
+ " <td>1328</td>\n",
+ " <td>1163.0</td>\n",
+ " <td>1062.0</td>\n",
+ " <td>1153.0</td>\n",
+ " <td>1159.0</td>\n",
+ " <td>1115</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>49</th>\n",
+ " <td>1296</td>\n",
+ " <td>1108.0</td>\n",
+ " <td>1076.0</td>\n",
+ " <td>1237.0</td>\n",
+ " <td>1188.0</td>\n",
+ " <td>1089</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50</th>\n",
+ " <td>1284</td>\n",
+ " <td>1312.0</td>\n",
+ " <td>1212.0</td>\n",
+ " <td>1335.0</td>\n",
+ " <td>1219.0</td>\n",
+ " <td>1101</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>51</th>\n",
+ " <td>1297</td>\n",
+ " <td>1277.0</td>\n",
+ " <td>1216.0</td>\n",
+ " <td>1437.0</td>\n",
+ " <td>1284.0</td>\n",
+ " <td>1146</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>52</th>\n",
+ " <td>1205</td>\n",
+ " <td>1000.0</td>\n",
+ " <td>1058.0</td>\n",
+ " <td>1168.0</td>\n",
+ " <td>1133.0</td>\n",
+ " <td>944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>53</th>\n",
+ " <td>1178</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>1018</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
+ "1 1161 1104.0 1531.0 1205.0 1394.0 1146\n",
+ "2 1567 1507.0 1899.0 1379.0 1305.0 1708\n",
+ "3 1322 1353.0 1629.0 1224.0 1215.0 1489\n",
+ "4 1226 1208.0 1610.0 1197.0 1187.0 1381\n",
+ "5 1188 1206.0 1369.0 1332.0 1205.0 1286\n",
+ "6 1216 1243.0 1265.0 1200.0 1217.0 1344\n",
+ "7 1162 1181.0 1315.0 1231.0 1209.0 1360\n",
+ "8 1162 1245.0 1245.0 1185.0 1239.0 1320\n",
+ "9 1171 1125.0 1022.0 1219.0 1150.0 1308\n",
+ "10 1208 1156.0 1475.0 1146.0 1174.0 1192\n",
+ "11 1156 1108.0 1220.0 1141.0 1175.0 1201\n",
+ "12 1196 1101.0 1158.0 1152.0 1042.0 1149\n",
+ "13 1079 1086.0 1050.0 1112.0 1172.0 1171\n",
+ "14 1744 1032.0 1192.0 1060.0 1166.0 1042\n",
+ "15 1978 1069.0 1192.0 998.0 1048.0 1192\n",
+ "16 1916 902.0 1136.0 1111.0 1092.0 1095\n",
+ "17 1836 1121.0 1008.0 1121.0 1076.0 1108\n",
+ "18 1679 1131.0 1093.0 1050.0 1006.0 1117\n",
+ "19 1435 1018.0 967.0 1119.0 1047.0 1020\n",
+ "20 1421 1115.0 977.0 1115.0 1010.0 1103\n",
+ "21 1226 1061.0 1070.0 1063.0 994.0 1039\n",
+ "22 1125 1029.0 998.0 1015.0 999.0 1043\n",
+ "23 1093 1042.0 1033.0 1076.0 1023.0 1106\n",
+ "24 1034 1028.0 915.0 1031.0 988.0 1038\n",
+ "25 1065 1053.0 993.0 1032.0 994.0 1025\n",
+ "26 1008 1051.0 1046.0 994.0 1007.0 1032\n",
+ "27 983 981.0 1041.0 1040.0 988.0 1040\n",
+ "28 976 1077.0 1002.0 1014.0 1022.0 1011\n",
+ "29 1033 964.0 928.0 1025.0 1041.0 1023\n",
+ "30 961 1041.0 933.0 978.0 979.0 956\n",
+ "31 1043 1020.0 969.0 1011.0 987.0 985\n",
+ "32 1011 1018.0 953.0 1002.0 997.0 1043\n",
+ "33 922 1028.0 978.0 1004.0 982.0 969\n",
+ "34 1046 1011.0 941.0 1045.0 1017.0 982\n",
+ "35 1029 1013.0 930.0 980.0 1039.0 954\n",
+ "36 1050 980.0 970.0 1006.0 1007.0 977\n",
+ "37 1069 1074.0 1020.0 972.0 983.0 991\n",
+ "38 952 1071.0 946.0 1049.0 966.0 1001\n",
+ "39 933 1142.0 1015.0 1056.0 1009.0 1010\n",
+ "40 1195 1051.0 1042.0 1016.0 1072.0 1008\n",
+ "41 1071 1143.0 1081.0 1133.0 1009.0 1028\n",
+ "42 1131 1153.0 1031.0 1067.0 1070.0 989\n",
+ "43 1187 1115.0 1019.0 1095.0 1052.0 981\n",
+ "44 1262 1101.0 1085.0 1062.0 1032.0 1116\n",
+ "45 1250 1184.0 1144.0 1126.0 1043.0 1028\n",
+ "46 1138 1160.0 1084.0 1175.0 1174.0 1103\n",
+ "47 1360 1229.0 1058.0 1178.0 1132.0 1054\n",
+ "48 1328 1163.0 1062.0 1153.0 1159.0 1115\n",
+ "49 1296 1108.0 1076.0 1237.0 1188.0 1089\n",
+ "50 1284 1312.0 1212.0 1335.0 1219.0 1101\n",
+ "51 1297 1277.0 1216.0 1437.0 1284.0 1146\n",
+ "52 1205 1000.0 1058.0 1168.0 1133.0 944\n",
+ "53 1178 NaN NaN NaN NaN 1018"
+ ]
+ },
+ "execution_count": 427,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "deaths_headlines_s = raw_data_s[reversed('2015 2016 2017 2018 2019 2020'.split())]\n",
+ "deaths_headlines_s.columns = ['total_' + c for c in deaths_headlines_s.columns]\n",
+ "deaths_headlines_s.reset_index(drop=True, inplace=True)\n",
+ "deaths_headlines_s.index = deaths_headlines_s.index + 1\n",
+ "deaths_headlines_s"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 428,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " * postgresql://covid:***@localhost/covid\n",
+ "5 rows affected.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<table>\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th>week</th>\n",
+ " <th>year</th>\n",
+ " <th>date_up_to</th>\n",
+ " <th>nation</th>\n",
+ " <th>deaths</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <td>1</td>\n",
+ " <td>2015</td>\n",
+ " <td>2015-01-02</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>319</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2</td>\n",
+ " <td>2015</td>\n",
+ " <td>2015-01-09</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>373</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>3</td>\n",
+ " <td>2015</td>\n",
+ " <td>2015-01-16</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>383</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>4</td>\n",
+ " <td>2015</td>\n",
+ " <td>2015-01-23</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>397</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>5</td>\n",
+ " <td>2015</td>\n",
+ " <td>2015-01-30</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>374</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>"
+ ],
+ "text/plain": [
+ "[(1, 2015, datetime.date(2015, 1, 2), 'Northern Ireland', 319),\n",
+ " (2, 2015, datetime.date(2015, 1, 9), 'Northern Ireland', 373),\n",
+ " (3, 2015, datetime.date(2015, 1, 16), 'Northern Ireland', 383),\n",
+ " (4, 2015, datetime.date(2015, 1, 23), 'Northern Ireland', 397),\n",
+ " (5, 2015, datetime.date(2015, 1, 30), 'Northern Ireland', 374)]"
+ ]
+ },
+ "execution_count": 428,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "%sql select * from all_causes_deaths limit 5"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 429,
+ "metadata": {
+ "Collapsed": "false",
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
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+ "1 rows affected.\n",
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+ "1 rows affected.\n",
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+ "1 rows affected.\n",
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+ "1 rows affected.\n",
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+ "1 rows affected.\n",
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+ "1 rows affected.\n",
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+ "1 rows affected.\n",
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+ "1 rows affected.\n",
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+ "1 rows affected.\n",
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+ "1 rows affected.\n",
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+ "1 rows affected.\n",
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+ "1 rows affected.\n",
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+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
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+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
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+ "1 rows affected.\n",
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+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
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+ "1 rows affected.\n",
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+ "1 rows affected.\n",
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+ "1 rows affected.\n",
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+ "1 rows affected.\n",
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+ "1 rows affected.\n",
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+ "1 rows affected.\n",
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+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
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+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
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+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n",
+ " * postgresql://covid:***@localhost/covid\n",
+ "1 rows affected.\n"
+ ]
+ }
+ ],
+ "source": [
+ "for year, ser in deaths_headlines_s.items():\n",
+ " year_i = int(year[-4:])\n",
+ "# print(year_i)\n",
+ " for week, deaths in ser.dropna().iteritems():\n",
+ "# print(datetime.date.fromisocalendar(year_i, week, 7), deaths)\n",
+ " dut = datetime.date.fromisocalendar(year_i, week, 7)\n",
+ " %sql insert into all_causes_deaths(week, year, date_up_to, nation, deaths) values ({week}, {year_i}, :dut, 'Scotland', {deaths})"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 430,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " * postgresql://covid:***@localhost/covid\n",
+ "12 rows affected.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<table>\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " <th>count</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <td>2015</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2016</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2017</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2015</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2016</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2017</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>"
+ ],
+ "text/plain": [
+ "[(2015, 'Northern Ireland', 53),\n",
+ " (2016, 'Northern Ireland', 52),\n",
+ " (2017, 'Northern Ireland', 52),\n",
+ " (2018, 'Northern Ireland', 52),\n",
+ " (2019, 'Northern Ireland', 52),\n",
+ " (2020, 'Northern Ireland', 53),\n",
+ " (2015, 'Scotland', 53),\n",
+ " (2016, 'Scotland', 52),\n",
+ " (2017, 'Scotland', 52),\n",
+ " (2018, 'Scotland', 52),\n",
+ " (2019, 'Scotland', 52),\n",
+ " (2020, 'Scotland', 53)]"
+ ]
+ },
+ "execution_count": 430,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 431,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " * postgresql://covid:***@localhost/covid\n",
+ "12 rows affected.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<table>\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " <th>date_up_to</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <td>2015</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>2015-01-16</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2015</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>2015-01-18</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2016</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>2016-01-22</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2016</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>2016-01-24</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2017</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>2017-01-20</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2017</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>2017-01-22</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>2018-01-19</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>2018-01-21</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>2019-01-18</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>2019-01-20</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>2020-01-17</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>2020-01-19</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>"
+ ],
+ "text/plain": [
+ "[(2015, 'Northern Ireland', datetime.date(2015, 1, 16)),\n",
+ " (2015, 'Scotland', datetime.date(2015, 1, 18)),\n",
+ " (2016, 'Northern Ireland', datetime.date(2016, 1, 22)),\n",
+ " (2016, 'Scotland', datetime.date(2016, 1, 24)),\n",
+ " (2017, 'Northern Ireland', datetime.date(2017, 1, 20)),\n",
+ " (2017, 'Scotland', datetime.date(2017, 1, 22)),\n",
+ " (2018, 'Northern Ireland', datetime.date(2018, 1, 19)),\n",
+ " (2018, 'Scotland', datetime.date(2018, 1, 21)),\n",
+ " (2019, 'Northern Ireland', datetime.date(2019, 1, 18)),\n",
+ " (2019, 'Scotland', datetime.date(2019, 1, 20)),\n",
+ " (2020, 'Northern Ireland', datetime.date(2020, 1, 17)),\n",
+ " (2020, 'Scotland', datetime.date(2020, 1, 19))]"
+ ]
+ },
+ "execution_count": 431,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "%sql select year, nation, date_up_to from all_causes_deaths where week=3 order by year, nation"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 432,
+ "metadata": {
+ "Collapsed": "false",
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
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+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>NaN</th>\n",
+ " <th>NaN</th>\n",
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+ " <th>NaN</th>\n",
+ " <th>NaN</th>\n",
+ " <th>NaN</th>\n",
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+ " <th>NaN</th>\n",
+ " <th>NaN</th>\n",
+ " <th>NaN</th>\n",
+ " <th>...</th>\n",
+ " <th>North East</th>\n",
+ " <th>North West</th>\n",
+ " <th>Yorkshire and The Humber</th>\n",
+ " <th>East Midlands</th>\n",
+ " <th>West Midlands</th>\n",
+ " <th>East</th>\n",
+ " <th>London</th>\n",
+ " <th>South East</th>\n",
+ " <th>South West</th>\n",
+ " <th>Wales</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>Week number</th>\n",
+ " <td>Week ended</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>Total deaths, all ages</td>\n",
+ " <td>Total deaths: average of corresponding</td>\n",
+ " <td>week over the previous 5 years 1, 10, 11 (Engl...</td>\n",
+ " <td>Total deaths: average of corresponding</td>\n",
+ " <td>week over the previous 5 years 1, 10, 11 (Engl...</td>\n",
+ " <td>Total deaths: average of corresponding</td>\n",
+ " <td>week over the previous 5 years 1, 10, 11 (Wales)</td>\n",
+ " <td>...</td>\n",
+ " <td>E12000001</td>\n",
+ " <td>E12000002</td>\n",
+ " <td>E12000003</td>\n",
+ " <td>E12000004</td>\n",
+ " <td>E12000005</td>\n",
+ " <td>E12000006</td>\n",
+ " <td>E12000007</td>\n",
+ " <td>E12000008</td>\n",
+ " <td>E12000009</td>\n",
+ " <td>W92000004</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2020-01-03 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12254</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12175</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11412</td>\n",
+ " <td>NaN</td>\n",
+ " <td>756</td>\n",
+ " <td>...</td>\n",
+ " <td>673</td>\n",
+ " <td>1806</td>\n",
+ " <td>1240</td>\n",
+ " <td>1060</td>\n",
+ " <td>1349</td>\n",
+ " <td>1162</td>\n",
+ " <td>1113</td>\n",
+ " <td>1814</td>\n",
+ " <td>1225</td>\n",
+ " <td>787</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>2020-01-10 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>14058</td>\n",
+ " <td>NaN</td>\n",
+ " <td>13822</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12933</td>\n",
+ " <td>NaN</td>\n",
+ " <td>856</td>\n",
+ " <td>...</td>\n",
+ " <td>707</td>\n",
+ " <td>1932</td>\n",
+ " <td>1339</td>\n",
+ " <td>1195</td>\n",
+ " <td>1450</td>\n",
+ " <td>1573</td>\n",
+ " <td>1272</td>\n",
+ " <td>2132</td>\n",
+ " <td>1487</td>\n",
+ " <td>939</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>2020-01-17 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12990</td>\n",
+ " <td>NaN</td>\n",
+ " <td>13216</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12370</td>\n",
+ " <td>NaN</td>\n",
+ " <td>812</td>\n",
+ " <td>...</td>\n",
+ " <td>647</td>\n",
+ " <td>1696</td>\n",
+ " <td>1278</td>\n",
+ " <td>1106</td>\n",
+ " <td>1407</td>\n",
+ " <td>1457</td>\n",
+ " <td>1073</td>\n",
+ " <td>2064</td>\n",
+ " <td>1466</td>\n",
+ " <td>767</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>2020-01-24 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11856</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12760</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11933</td>\n",
+ " <td>NaN</td>\n",
+ " <td>802</td>\n",
+ " <td>...</td>\n",
+ " <td>612</td>\n",
+ " <td>1529</td>\n",
+ " <td>1187</td>\n",
+ " <td>1024</td>\n",
+ " <td>1231</td>\n",
+ " <td>1410</td>\n",
+ " <td>1028</td>\n",
+ " <td>1833</td>\n",
+ " <td>1253</td>\n",
+ " <td>723</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5</th>\n",
+ " <td>2020-01-31 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11612</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12206</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11419</td>\n",
+ " <td>NaN</td>\n",
+ " <td>760</td>\n",
+ " <td>...</td>\n",
+ " <td>561</td>\n",
+ " <td>1461</td>\n",
+ " <td>1136</td>\n",
+ " <td>1015</td>\n",
+ " <td>1262</td>\n",
+ " <td>1286</td>\n",
+ " <td>1092</td>\n",
+ " <td>1820</td>\n",
+ " <td>1233</td>\n",
+ " <td>727</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6</th>\n",
+ " <td>2020-02-07 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10986</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11925</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11154</td>\n",
+ " <td>NaN</td>\n",
+ " <td>729</td>\n",
+ " <td>...</td>\n",
+ " <td>564</td>\n",
+ " <td>1529</td>\n",
+ " <td>1072</td>\n",
+ " <td>922</td>\n",
+ " <td>1052</td>\n",
+ " <td>1259</td>\n",
+ " <td>987</td>\n",
+ " <td>1729</td>\n",
+ " <td>1157</td>\n",
+ " <td>690</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7</th>\n",
+ " <td>2020-02-14 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10944</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11627</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10876</td>\n",
+ " <td>NaN</td>\n",
+ " <td>722</td>\n",
+ " <td>...</td>\n",
+ " <td>573</td>\n",
+ " <td>1427</td>\n",
+ " <td>1059</td>\n",
+ " <td>976</td>\n",
+ " <td>1159</td>\n",
+ " <td>1172</td>\n",
+ " <td>967</td>\n",
+ " <td>1688</td>\n",
+ " <td>1169</td>\n",
+ " <td>728</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8</th>\n",
+ " <td>2020-02-21 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10841</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11548</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10790</td>\n",
+ " <td>NaN</td>\n",
+ " <td>724</td>\n",
+ " <td>...</td>\n",
+ " <td>539</td>\n",
+ " <td>1477</td>\n",
+ " <td>1087</td>\n",
+ " <td>924</td>\n",
+ " <td>1116</td>\n",
+ " <td>1167</td>\n",
+ " <td>1032</td>\n",
+ " <td>1675</td>\n",
+ " <td>1118</td>\n",
+ " <td>679</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9</th>\n",
+ " <td>2020-02-28 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10816</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11183</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10448</td>\n",
+ " <td>NaN</td>\n",
+ " <td>698</td>\n",
+ " <td>...</td>\n",
+ " <td>572</td>\n",
+ " <td>1476</td>\n",
+ " <td>1078</td>\n",
+ " <td>919</td>\n",
+ " <td>1174</td>\n",
+ " <td>1115</td>\n",
+ " <td>1085</td>\n",
+ " <td>1587</td>\n",
+ " <td>1133</td>\n",
+ " <td>651</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>10</th>\n",
+ " <td>2020-03-06 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10895</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11498</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10745</td>\n",
+ " <td>NaN</td>\n",
+ " <td>720</td>\n",
+ " <td>...</td>\n",
+ " <td>568</td>\n",
+ " <td>1490</td>\n",
+ " <td>1112</td>\n",
+ " <td>930</td>\n",
+ " <td>1098</td>\n",
+ " <td>1149</td>\n",
+ " <td>982</td>\n",
+ " <td>1726</td>\n",
+ " <td>1170</td>\n",
+ " <td>652</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>11</th>\n",
+ " <td>2020-03-13 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11019</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11205</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10447</td>\n",
+ " <td>NaN</td>\n",
+ " <td>727</td>\n",
+ " <td>...</td>\n",
+ " <td>590</td>\n",
+ " <td>1472</td>\n",
+ " <td>1053</td>\n",
+ " <td>915</td>\n",
+ " <td>1187</td>\n",
+ " <td>1211</td>\n",
+ " <td>964</td>\n",
+ " <td>1751</td>\n",
+ " <td>1174</td>\n",
+ " <td>675</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>12</th>\n",
+ " <td>2020-03-20 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10645</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10573</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9841</td>\n",
+ " <td>NaN</td>\n",
+ " <td>677</td>\n",
+ " <td>...</td>\n",
+ " <td>522</td>\n",
+ " <td>1443</td>\n",
+ " <td>1012</td>\n",
+ " <td>947</td>\n",
+ " <td>1115</td>\n",
+ " <td>1043</td>\n",
+ " <td>1008</td>\n",
+ " <td>1657</td>\n",
+ " <td>1156</td>\n",
+ " <td>719</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>13</th>\n",
+ " <td>2020-03-27 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11141</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10130</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9414</td>\n",
+ " <td>NaN</td>\n",
+ " <td>665</td>\n",
+ " <td>...</td>\n",
+ " <td>542</td>\n",
+ " <td>1538</td>\n",
+ " <td>982</td>\n",
+ " <td>922</td>\n",
+ " <td>1035</td>\n",
+ " <td>1182</td>\n",
+ " <td>1297</td>\n",
+ " <td>1822</td>\n",
+ " <td>1092</td>\n",
+ " <td>719</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>14</th>\n",
+ " <td>2020-04-03 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>16387</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10305</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9601</td>\n",
+ " <td>NaN</td>\n",
+ " <td>667</td>\n",
+ " <td>...</td>\n",
+ " <td>770</td>\n",
+ " <td>2137</td>\n",
+ " <td>1436</td>\n",
+ " <td>1246</td>\n",
+ " <td>1812</td>\n",
+ " <td>1717</td>\n",
+ " <td>2511</td>\n",
+ " <td>2294</td>\n",
+ " <td>1520</td>\n",
+ " <td>920</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15</th>\n",
+ " <td>2020-04-10 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>18516</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10520</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9807</td>\n",
+ " <td>NaN</td>\n",
+ " <td>671</td>\n",
+ " <td>...</td>\n",
+ " <td>849</td>\n",
+ " <td>2597</td>\n",
+ " <td>1503</td>\n",
+ " <td>1452</td>\n",
+ " <td>2182</td>\n",
+ " <td>1984</td>\n",
+ " <td>2832</td>\n",
+ " <td>2604</td>\n",
+ " <td>1560</td>\n",
+ " <td>928</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16</th>\n",
+ " <td>2020-04-17 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>22351</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10497</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9787</td>\n",
+ " <td>NaN</td>\n",
+ " <td>661</td>\n",
+ " <td>...</td>\n",
+ " <td>1155</td>\n",
+ " <td>3195</td>\n",
+ " <td>1960</td>\n",
+ " <td>1632</td>\n",
+ " <td>2536</td>\n",
+ " <td>2466</td>\n",
+ " <td>3275</td>\n",
+ " <td>3084</td>\n",
+ " <td>1854</td>\n",
+ " <td>1169</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17</th>\n",
+ " <td>2020-04-24 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>21997</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10458</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9768</td>\n",
+ " <td>NaN</td>\n",
+ " <td>662</td>\n",
+ " <td>...</td>\n",
+ " <td>1103</td>\n",
+ " <td>3109</td>\n",
+ " <td>2095</td>\n",
+ " <td>1711</td>\n",
+ " <td>2481</td>\n",
+ " <td>2299</td>\n",
+ " <td>2785</td>\n",
+ " <td>3334</td>\n",
+ " <td>1924</td>\n",
+ " <td>1124</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>18</th>\n",
+ " <td>2020-05-01 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>17953</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9941</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9289</td>\n",
+ " <td>NaN</td>\n",
+ " <td>624</td>\n",
+ " <td>...</td>\n",
+ " <td>922</td>\n",
+ " <td>2503</td>\n",
+ " <td>1844</td>\n",
+ " <td>1418</td>\n",
+ " <td>1975</td>\n",
+ " <td>1982</td>\n",
+ " <td>1953</td>\n",
+ " <td>2853</td>\n",
+ " <td>1554</td>\n",
+ " <td>929</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>19</th>\n",
+ " <td>2020-05-08 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12657</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9576</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8937</td>\n",
+ " <td>NaN</td>\n",
+ " <td>612</td>\n",
+ " <td>...</td>\n",
+ " <td>769</td>\n",
+ " <td>1790</td>\n",
+ " <td>1328</td>\n",
+ " <td>1094</td>\n",
+ " <td>1326</td>\n",
+ " <td>1321</td>\n",
+ " <td>1213</td>\n",
+ " <td>1887</td>\n",
+ " <td>1218</td>\n",
+ " <td>692</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>20</th>\n",
+ " <td>2020-05-15 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>14573</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10188</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9526</td>\n",
+ " <td>NaN</td>\n",
+ " <td>635</td>\n",
+ " <td>...</td>\n",
+ " <td>845</td>\n",
+ " <td>1992</td>\n",
+ " <td>1589</td>\n",
+ " <td>1283</td>\n",
+ " <td>1502</td>\n",
+ " <td>1543</td>\n",
+ " <td>1329</td>\n",
+ " <td>2251</td>\n",
+ " <td>1449</td>\n",
+ " <td>772</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>21</th>\n",
+ " <td>2020-05-22 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12288</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9940</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9299</td>\n",
+ " <td>NaN</td>\n",
+ " <td>614</td>\n",
+ " <td>...</td>\n",
+ " <td>718</td>\n",
+ " <td>1636</td>\n",
+ " <td>1236</td>\n",
+ " <td>1041</td>\n",
+ " <td>1319</td>\n",
+ " <td>1397</td>\n",
+ " <td>1125</td>\n",
+ " <td>1937</td>\n",
+ " <td>1177</td>\n",
+ " <td>692</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>22</th>\n",
+ " <td>2020-05-29 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9824</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8171</td>\n",
+ " <td>NaN</td>\n",
+ " <td>7607</td>\n",
+ " <td>NaN</td>\n",
+ " <td>546</td>\n",
+ " <td>...</td>\n",
+ " <td>550</td>\n",
+ " <td>1337</td>\n",
+ " <td>1046</td>\n",
+ " <td>863</td>\n",
+ " <td>970</td>\n",
+ " <td>1095</td>\n",
+ " <td>841</td>\n",
+ " <td>1515</td>\n",
+ " <td>1011</td>\n",
+ " <td>587</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>23</th>\n",
+ " <td>2020-06-05 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10709</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9977</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9346</td>\n",
+ " <td>NaN</td>\n",
+ " <td>610</td>\n",
+ " <td>...</td>\n",
+ " <td>576</td>\n",
+ " <td>1478</td>\n",
+ " <td>1090</td>\n",
+ " <td>931</td>\n",
+ " <td>1172</td>\n",
+ " <td>1131</td>\n",
+ " <td>891</td>\n",
+ " <td>1610</td>\n",
+ " <td>1116</td>\n",
+ " <td>700</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24</th>\n",
+ " <td>2020-06-12 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9976</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9417</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8803</td>\n",
+ " <td>NaN</td>\n",
+ " <td>588</td>\n",
+ " <td>...</td>\n",
+ " <td>478</td>\n",
+ " <td>1374</td>\n",
+ " <td>980</td>\n",
+ " <td>967</td>\n",
+ " <td>1096</td>\n",
+ " <td>1048</td>\n",
+ " <td>883</td>\n",
+ " <td>1530</td>\n",
+ " <td>1035</td>\n",
+ " <td>574</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>25</th>\n",
+ " <td>2020-06-19 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9339</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9404</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8810</td>\n",
+ " <td>NaN</td>\n",
+ " <td>573</td>\n",
+ " <td>...</td>\n",
+ " <td>498</td>\n",
+ " <td>1234</td>\n",
+ " <td>952</td>\n",
+ " <td>835</td>\n",
+ " <td>973</td>\n",
+ " <td>927</td>\n",
+ " <td>896</td>\n",
+ " <td>1411</td>\n",
+ " <td>990</td>\n",
+ " <td>617</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>26</th>\n",
+ " <td>2020-06-26 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8979</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9293</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8695</td>\n",
+ " <td>NaN</td>\n",
+ " <td>571</td>\n",
+ " <td>...</td>\n",
+ " <td>485</td>\n",
+ " <td>1300</td>\n",
+ " <td>922</td>\n",
+ " <td>800</td>\n",
+ " <td>946</td>\n",
+ " <td>880</td>\n",
+ " <td>791</td>\n",
+ " <td>1311</td>\n",
+ " <td>979</td>\n",
+ " <td>552</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>27</th>\n",
+ " <td>2020-07-03 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9140</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9183</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8606</td>\n",
+ " <td>NaN</td>\n",
+ " <td>555</td>\n",
+ " <td>...</td>\n",
+ " <td>515</td>\n",
+ " <td>1225</td>\n",
+ " <td>875</td>\n",
+ " <td>827</td>\n",
+ " <td>949</td>\n",
+ " <td>922</td>\n",
+ " <td>837</td>\n",
+ " <td>1454</td>\n",
+ " <td>938</td>\n",
+ " <td>584</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>28</th>\n",
+ " <td>2020-07-10 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8690</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9250</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8648</td>\n",
+ " <td>NaN</td>\n",
+ " <td>578</td>\n",
+ " <td>...</td>\n",
+ " <td>468</td>\n",
+ " <td>1154</td>\n",
+ " <td>848</td>\n",
+ " <td>771</td>\n",
+ " <td>902</td>\n",
+ " <td>999</td>\n",
+ " <td>803</td>\n",
+ " <td>1228</td>\n",
+ " <td>930</td>\n",
+ " <td>572</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>29</th>\n",
+ " <td>2020-07-17 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8823</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9093</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8502</td>\n",
+ " <td>NaN</td>\n",
+ " <td>557</td>\n",
+ " <td>...</td>\n",
+ " <td>445</td>\n",
+ " <td>1159</td>\n",
+ " <td>843</td>\n",
+ " <td>816</td>\n",
+ " <td>956</td>\n",
+ " <td>945</td>\n",
+ " <td>806</td>\n",
+ " <td>1339</td>\n",
+ " <td>953</td>\n",
+ " <td>550</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>30</th>\n",
+ " <td>2020-07-24 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8891</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9052</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8452</td>\n",
+ " <td>NaN</td>\n",
+ " <td>566</td>\n",
+ " <td>...</td>\n",
+ " <td>493</td>\n",
+ " <td>1197</td>\n",
+ " <td>817</td>\n",
+ " <td>798</td>\n",
+ " <td>964</td>\n",
+ " <td>951</td>\n",
+ " <td>816</td>\n",
+ " <td>1340</td>\n",
+ " <td>941</td>\n",
+ " <td>565</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>31</th>\n",
+ " <td>2020-07-31 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8946</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9036</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8436</td>\n",
+ " <td>NaN</td>\n",
+ " <td>572</td>\n",
+ " <td>...</td>\n",
+ " <td>507</td>\n",
+ " <td>1272</td>\n",
+ " <td>837</td>\n",
+ " <td>729</td>\n",
+ " <td>902</td>\n",
+ " <td>949</td>\n",
+ " <td>773</td>\n",
+ " <td>1447</td>\n",
+ " <td>988</td>\n",
+ " <td>531</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>32</th>\n",
+ " <td>2020-08-07 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8945</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9102</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8502</td>\n",
+ " <td>NaN</td>\n",
+ " <td>571</td>\n",
+ " <td>...</td>\n",
+ " <td>486</td>\n",
+ " <td>1211</td>\n",
+ " <td>851</td>\n",
+ " <td>798</td>\n",
+ " <td>933</td>\n",
+ " <td>955</td>\n",
+ " <td>832</td>\n",
+ " <td>1370</td>\n",
+ " <td>929</td>\n",
+ " <td>563</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>33</th>\n",
+ " <td>2020-08-14 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9392</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9085</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8494</td>\n",
+ " <td>NaN</td>\n",
+ " <td>564</td>\n",
+ " <td>...</td>\n",
+ " <td>520</td>\n",
+ " <td>1304</td>\n",
+ " <td>853</td>\n",
+ " <td>829</td>\n",
+ " <td>923</td>\n",
+ " <td>1006</td>\n",
+ " <td>928</td>\n",
+ " <td>1395</td>\n",
+ " <td>1009</td>\n",
+ " <td>617</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>34</th>\n",
+ " <td>2020-08-21 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9631</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9157</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8560</td>\n",
+ " <td>NaN</td>\n",
+ " <td>573</td>\n",
+ " <td>...</td>\n",
+ " <td>479</td>\n",
+ " <td>1269</td>\n",
+ " <td>870</td>\n",
+ " <td>780</td>\n",
+ " <td>1028</td>\n",
+ " <td>1024</td>\n",
+ " <td>920</td>\n",
+ " <td>1608</td>\n",
+ " <td>1043</td>\n",
+ " <td>594</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>35</th>\n",
+ " <td>2020-08-28 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9032</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8241</td>\n",
+ " <td>NaN</td>\n",
+ " <td>7674</td>\n",
+ " <td>NaN</td>\n",
+ " <td>539</td>\n",
+ " <td>...</td>\n",
+ " <td>455</td>\n",
+ " <td>1148</td>\n",
+ " <td>922</td>\n",
+ " <td>724</td>\n",
+ " <td>945</td>\n",
+ " <td>951</td>\n",
+ " <td>810</td>\n",
+ " <td>1511</td>\n",
+ " <td>959</td>\n",
+ " <td>591</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>36</th>\n",
+ " <td>2020-09-04 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>7739</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9182</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8604</td>\n",
+ " <td>NaN</td>\n",
+ " <td>552</td>\n",
+ " <td>...</td>\n",
+ " <td>431</td>\n",
+ " <td>1057</td>\n",
+ " <td>780</td>\n",
+ " <td>640</td>\n",
+ " <td>770</td>\n",
+ " <td>806</td>\n",
+ " <td>737</td>\n",
+ " <td>1208</td>\n",
+ " <td>803</td>\n",
+ " <td>488</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>37</th>\n",
+ " <td>2020-09-11 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9811</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9306</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8708</td>\n",
+ " <td>NaN</td>\n",
+ " <td>577</td>\n",
+ " <td>...</td>\n",
+ " <td>502</td>\n",
+ " <td>1229</td>\n",
+ " <td>952</td>\n",
+ " <td>867</td>\n",
+ " <td>1021</td>\n",
+ " <td>1052</td>\n",
+ " <td>898</td>\n",
+ " <td>1610</td>\n",
+ " <td>1084</td>\n",
+ " <td>578</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>38</th>\n",
+ " <td>2020-09-18 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9523</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9264</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8663</td>\n",
+ " <td>NaN</td>\n",
+ " <td>575</td>\n",
+ " <td>...</td>\n",
+ " <td>465</td>\n",
+ " <td>1287</td>\n",
+ " <td>939</td>\n",
+ " <td>795</td>\n",
+ " <td>1051</td>\n",
+ " <td>1023</td>\n",
+ " <td>844</td>\n",
+ " <td>1530</td>\n",
+ " <td>1021</td>\n",
+ " <td>555</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>39</th>\n",
+ " <td>2020-09-25 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9634</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9377</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8744</td>\n",
+ " <td>NaN</td>\n",
+ " <td>604</td>\n",
+ " <td>...</td>\n",
+ " <td>514</td>\n",
+ " <td>1271</td>\n",
+ " <td>965</td>\n",
+ " <td>825</td>\n",
+ " <td>1036</td>\n",
+ " <td>963</td>\n",
+ " <td>869</td>\n",
+ " <td>1521</td>\n",
+ " <td>1041</td>\n",
+ " <td>617</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>40</th>\n",
+ " <td>2020-10-02 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9945</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9555</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8942</td>\n",
+ " <td>NaN</td>\n",
+ " <td>587</td>\n",
+ " <td>...</td>\n",
+ " <td>558</td>\n",
+ " <td>1301</td>\n",
+ " <td>978</td>\n",
+ " <td>842</td>\n",
+ " <td>1045</td>\n",
+ " <td>1054</td>\n",
+ " <td>899</td>\n",
+ " <td>1577</td>\n",
+ " <td>1003</td>\n",
+ " <td>671</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>41</th>\n",
+ " <td>2020-10-09 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9954</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9811</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9168</td>\n",
+ " <td>NaN</td>\n",
+ " <td>615</td>\n",
+ " <td>...</td>\n",
+ " <td>544</td>\n",
+ " <td>1367</td>\n",
+ " <td>1067</td>\n",
+ " <td>884</td>\n",
+ " <td>1053</td>\n",
+ " <td>1019</td>\n",
+ " <td>902</td>\n",
+ " <td>1462</td>\n",
+ " <td>1010</td>\n",
+ " <td>638</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>42</th>\n",
+ " <td>2020-10-16 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10534</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9865</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9215</td>\n",
+ " <td>NaN</td>\n",
+ " <td>630</td>\n",
+ " <td>...</td>\n",
+ " <td>606</td>\n",
+ " <td>1553</td>\n",
+ " <td>1001</td>\n",
+ " <td>904</td>\n",
+ " <td>1154</td>\n",
+ " <td>1056</td>\n",
+ " <td>923</td>\n",
+ " <td>1462</td>\n",
+ " <td>1174</td>\n",
+ " <td>688</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>43</th>\n",
+ " <td>2020-10-23 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10739</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9759</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9104</td>\n",
+ " <td>NaN</td>\n",
+ " <td>628</td>\n",
+ " <td>...</td>\n",
+ " <td>600</td>\n",
+ " <td>1714</td>\n",
+ " <td>1111</td>\n",
+ " <td>891</td>\n",
+ " <td>1124</td>\n",
+ " <td>1154</td>\n",
+ " <td>922</td>\n",
+ " <td>1510</td>\n",
+ " <td>1044</td>\n",
+ " <td>661</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>44</th>\n",
+ " <td>2020-10-30 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10887</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9891</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9248</td>\n",
+ " <td>NaN</td>\n",
+ " <td>616</td>\n",
+ " <td>...</td>\n",
+ " <td>591</td>\n",
+ " <td>1754</td>\n",
+ " <td>1168</td>\n",
+ " <td>882</td>\n",
+ " <td>1102</td>\n",
+ " <td>1089</td>\n",
+ " <td>888</td>\n",
+ " <td>1563</td>\n",
+ " <td>1129</td>\n",
+ " <td>712</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>45</th>\n",
+ " <td>2020-11-06 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11812</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10331</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9675</td>\n",
+ " <td>NaN</td>\n",
+ " <td>625</td>\n",
+ " <td>...</td>\n",
+ " <td>675</td>\n",
+ " <td>1900</td>\n",
+ " <td>1294</td>\n",
+ " <td>990</td>\n",
+ " <td>1186</td>\n",
+ " <td>1177</td>\n",
+ " <td>952</td>\n",
+ " <td>1614</td>\n",
+ " <td>1174</td>\n",
+ " <td>832</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>46</th>\n",
+ " <td>2020-11-13 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12254</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10350</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9662</td>\n",
+ " <td>NaN</td>\n",
+ " <td>658</td>\n",
+ " <td>...</td>\n",
+ " <td>711</td>\n",
+ " <td>1950</td>\n",
+ " <td>1350</td>\n",
+ " <td>1099</td>\n",
+ " <td>1317</td>\n",
+ " <td>1172</td>\n",
+ " <td>1112</td>\n",
+ " <td>1616</td>\n",
+ " <td>1168</td>\n",
+ " <td>742</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>47</th>\n",
+ " <td>2020-11-20 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12535</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10380</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9701</td>\n",
+ " <td>NaN</td>\n",
+ " <td>653</td>\n",
+ " <td>...</td>\n",
+ " <td>691</td>\n",
+ " <td>1935</td>\n",
+ " <td>1441</td>\n",
+ " <td>1105</td>\n",
+ " <td>1385</td>\n",
+ " <td>1186</td>\n",
+ " <td>1086</td>\n",
+ " <td>1687</td>\n",
+ " <td>1159</td>\n",
+ " <td>848</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>48</th>\n",
+ " <td>2020-11-27 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12456</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10357</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9690</td>\n",
+ " <td>NaN</td>\n",
+ " <td>646</td>\n",
+ " <td>...</td>\n",
+ " <td>679</td>\n",
+ " <td>1791</td>\n",
+ " <td>1501</td>\n",
+ " <td>1218</td>\n",
+ " <td>1358</td>\n",
+ " <td>1159</td>\n",
+ " <td>1012</td>\n",
+ " <td>1655</td>\n",
+ " <td>1272</td>\n",
+ " <td>797</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>49</th>\n",
+ " <td>2020-12-04 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12303</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10695</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9995</td>\n",
+ " <td>NaN</td>\n",
+ " <td>679</td>\n",
+ " <td>...</td>\n",
+ " <td>645</td>\n",
+ " <td>1679</td>\n",
+ " <td>1403</td>\n",
+ " <td>1121</td>\n",
+ " <td>1340</td>\n",
+ " <td>1229</td>\n",
+ " <td>1029</td>\n",
+ " <td>1720</td>\n",
+ " <td>1284</td>\n",
+ " <td>836</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50</th>\n",
+ " <td>2020-12-11 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12292</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10750</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10034</td>\n",
+ " <td>NaN</td>\n",
+ " <td>693</td>\n",
+ " <td>...</td>\n",
+ " <td>661</td>\n",
+ " <td>1691</td>\n",
+ " <td>1326</td>\n",
+ " <td>1199</td>\n",
+ " <td>1432</td>\n",
+ " <td>1224</td>\n",
+ " <td>1065</td>\n",
+ " <td>1706</td>\n",
+ " <td>1156</td>\n",
+ " <td>814</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>51</th>\n",
+ " <td>2020-12-18 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>13011</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11548</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10804</td>\n",
+ " <td>NaN</td>\n",
+ " <td>718</td>\n",
+ " <td>...</td>\n",
+ " <td>689</td>\n",
+ " <td>1718</td>\n",
+ " <td>1380</td>\n",
+ " <td>1199</td>\n",
+ " <td>1385</td>\n",
+ " <td>1317</td>\n",
+ " <td>1167</td>\n",
+ " <td>1947</td>\n",
+ " <td>1311</td>\n",
+ " <td>882</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>52</th>\n",
+ " <td>2020-12-25 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11520</td>\n",
+ " <td>NaN</td>\n",
+ " <td>7954</td>\n",
+ " <td>NaN</td>\n",
+ " <td>7421</td>\n",
+ " <td>NaN</td>\n",
+ " <td>518</td>\n",
+ " <td>...</td>\n",
+ " <td>669</td>\n",
+ " <td>1463</td>\n",
+ " <td>1130</td>\n",
+ " <td>1097</td>\n",
+ " <td>1217</td>\n",
+ " <td>1198</td>\n",
+ " <td>1090</td>\n",
+ " <td>1701</td>\n",
+ " <td>1115</td>\n",
+ " <td>825</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>53</th>\n",
+ " <td>2021-01-01 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10069</td>\n",
+ " <td>NaN</td>\n",
+ " <td>7954</td>\n",
+ " <td>NaN</td>\n",
+ " <td>7421</td>\n",
+ " <td>NaN</td>\n",
+ " <td>518</td>\n",
+ " <td>...</td>\n",
+ " <td>547</td>\n",
+ " <td>1346</td>\n",
+ " <td>886</td>\n",
+ " <td>842</td>\n",
+ " <td>1024</td>\n",
+ " <td>997</td>\n",
+ " <td>1159</td>\n",
+ " <td>1595</td>\n",
+ " <td>929</td>\n",
+ " <td>727</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>54 rows × 91 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " NaN NaN NaN NaN \\\n",
+ "Week number Week ended NaN NaN Total deaths, all ages \n",
+ "1 2020-01-03 00:00:00 NaN NaN 12254 \n",
+ "2 2020-01-10 00:00:00 NaN NaN 14058 \n",
+ "3 2020-01-17 00:00:00 NaN NaN 12990 \n",
+ "4 2020-01-24 00:00:00 NaN NaN 11856 \n",
+ "5 2020-01-31 00:00:00 NaN NaN 11612 \n",
+ "6 2020-02-07 00:00:00 NaN NaN 10986 \n",
+ "7 2020-02-14 00:00:00 NaN NaN 10944 \n",
+ "8 2020-02-21 00:00:00 NaN NaN 10841 \n",
+ "9 2020-02-28 00:00:00 NaN NaN 10816 \n",
+ "10 2020-03-06 00:00:00 NaN NaN 10895 \n",
+ "11 2020-03-13 00:00:00 NaN NaN 11019 \n",
+ "12 2020-03-20 00:00:00 NaN NaN 10645 \n",
+ "13 2020-03-27 00:00:00 NaN NaN 11141 \n",
+ "14 2020-04-03 00:00:00 NaN NaN 16387 \n",
+ "15 2020-04-10 00:00:00 NaN NaN 18516 \n",
+ "16 2020-04-17 00:00:00 NaN NaN 22351 \n",
+ "17 2020-04-24 00:00:00 NaN NaN 21997 \n",
+ "18 2020-05-01 00:00:00 NaN NaN 17953 \n",
+ "19 2020-05-08 00:00:00 NaN NaN 12657 \n",
+ "20 2020-05-15 00:00:00 NaN NaN 14573 \n",
+ "21 2020-05-22 00:00:00 NaN NaN 12288 \n",
+ "22 2020-05-29 00:00:00 NaN NaN 9824 \n",
+ "23 2020-06-05 00:00:00 NaN NaN 10709 \n",
+ "24 2020-06-12 00:00:00 NaN NaN 9976 \n",
+ "25 2020-06-19 00:00:00 NaN NaN 9339 \n",
+ "26 2020-06-26 00:00:00 NaN NaN 8979 \n",
+ "27 2020-07-03 00:00:00 NaN NaN 9140 \n",
+ "28 2020-07-10 00:00:00 NaN NaN 8690 \n",
+ "29 2020-07-17 00:00:00 NaN NaN 8823 \n",
+ "30 2020-07-24 00:00:00 NaN NaN 8891 \n",
+ "31 2020-07-31 00:00:00 NaN NaN 8946 \n",
+ "32 2020-08-07 00:00:00 NaN NaN 8945 \n",
+ "33 2020-08-14 00:00:00 NaN NaN 9392 \n",
+ "34 2020-08-21 00:00:00 NaN NaN 9631 \n",
+ "35 2020-08-28 00:00:00 NaN NaN 9032 \n",
+ "36 2020-09-04 00:00:00 NaN NaN 7739 \n",
+ "37 2020-09-11 00:00:00 NaN NaN 9811 \n",
+ "38 2020-09-18 00:00:00 NaN NaN 9523 \n",
+ "39 2020-09-25 00:00:00 NaN NaN 9634 \n",
+ "40 2020-10-02 00:00:00 NaN NaN 9945 \n",
+ "41 2020-10-09 00:00:00 NaN NaN 9954 \n",
+ "42 2020-10-16 00:00:00 NaN NaN 10534 \n",
+ "43 2020-10-23 00:00:00 NaN NaN 10739 \n",
+ "44 2020-10-30 00:00:00 NaN NaN 10887 \n",
+ "45 2020-11-06 00:00:00 NaN NaN 11812 \n",
+ "46 2020-11-13 00:00:00 NaN NaN 12254 \n",
+ "47 2020-11-20 00:00:00 NaN NaN 12535 \n",
+ "48 2020-11-27 00:00:00 NaN NaN 12456 \n",
+ "49 2020-12-04 00:00:00 NaN NaN 12303 \n",
+ "50 2020-12-11 00:00:00 NaN NaN 12292 \n",
+ "51 2020-12-18 00:00:00 NaN NaN 13011 \n",
+ "52 2020-12-25 00:00:00 NaN NaN 11520 \n",
+ "53 2021-01-01 00:00:00 NaN NaN 10069 \n",
+ "\n",
+ " NaN \\\n",
+ "Week number Total deaths: average of corresponding \n",
+ "1 NaN \n",
+ "2 NaN \n",
+ "3 NaN \n",
+ "4 NaN \n",
+ "5 NaN \n",
+ "6 NaN \n",
+ "7 NaN \n",
+ "8 NaN \n",
+ "9 NaN \n",
+ "10 NaN \n",
+ "11 NaN \n",
+ "12 NaN \n",
+ "13 NaN \n",
+ "14 NaN \n",
+ "15 NaN \n",
+ "16 NaN \n",
+ "17 NaN \n",
+ "18 NaN \n",
+ "19 NaN \n",
+ "20 NaN \n",
+ "21 NaN \n",
+ "22 NaN \n",
+ "23 NaN \n",
+ "24 NaN \n",
+ "25 NaN \n",
+ "26 NaN \n",
+ "27 NaN \n",
+ "28 NaN \n",
+ "29 NaN \n",
+ "30 NaN \n",
+ "31 NaN \n",
+ "32 NaN \n",
+ "33 NaN \n",
+ "34 NaN \n",
+ "35 NaN \n",
+ "36 NaN \n",
+ "37 NaN \n",
+ "38 NaN \n",
+ "39 NaN \n",
+ "40 NaN \n",
+ "41 NaN \n",
+ "42 NaN \n",
+ "43 NaN \n",
+ "44 NaN \n",
+ "45 NaN \n",
+ "46 NaN \n",
+ "47 NaN \n",
+ "48 NaN \n",
+ "49 NaN \n",
+ "50 NaN \n",
+ "51 NaN \n",
+ "52 NaN \n",
+ "53 NaN \n",
+ "\n",
+ " NaN \\\n",
+ "Week number week over the previous 5 years 1, 10, 11 (Engl... \n",
+ "1 12175 \n",
+ "2 13822 \n",
+ "3 13216 \n",
+ "4 12760 \n",
+ "5 12206 \n",
+ "6 11925 \n",
+ "7 11627 \n",
+ "8 11548 \n",
+ "9 11183 \n",
+ "10 11498 \n",
+ "11 11205 \n",
+ "12 10573 \n",
+ "13 10130 \n",
+ "14 10305 \n",
+ "15 10520 \n",
+ "16 10497 \n",
+ "17 10458 \n",
+ "18 9941 \n",
+ "19 9576 \n",
+ "20 10188 \n",
+ "21 9940 \n",
+ "22 8171 \n",
+ "23 9977 \n",
+ "24 9417 \n",
+ "25 9404 \n",
+ "26 9293 \n",
+ "27 9183 \n",
+ "28 9250 \n",
+ "29 9093 \n",
+ "30 9052 \n",
+ "31 9036 \n",
+ "32 9102 \n",
+ "33 9085 \n",
+ "34 9157 \n",
+ "35 8241 \n",
+ "36 9182 \n",
+ "37 9306 \n",
+ "38 9264 \n",
+ "39 9377 \n",
+ "40 9555 \n",
+ "41 9811 \n",
+ "42 9865 \n",
+ "43 9759 \n",
+ "44 9891 \n",
+ "45 10331 \n",
+ "46 10350 \n",
+ "47 10380 \n",
+ "48 10357 \n",
+ "49 10695 \n",
+ "50 10750 \n",
+ "51 11548 \n",
+ "52 7954 \n",
+ "53 7954 \n",
+ "\n",
+ " NaN \\\n",
+ "Week number Total deaths: average of corresponding \n",
+ "1 NaN \n",
+ "2 NaN \n",
+ "3 NaN \n",
+ "4 NaN \n",
+ "5 NaN \n",
+ "6 NaN \n",
+ "7 NaN \n",
+ "8 NaN \n",
+ "9 NaN \n",
+ "10 NaN \n",
+ "11 NaN \n",
+ "12 NaN \n",
+ "13 NaN \n",
+ "14 NaN \n",
+ "15 NaN \n",
+ "16 NaN \n",
+ "17 NaN \n",
+ "18 NaN \n",
+ "19 NaN \n",
+ "20 NaN \n",
+ "21 NaN \n",
+ "22 NaN \n",
+ "23 NaN \n",
+ "24 NaN \n",
+ "25 NaN \n",
+ "26 NaN \n",
+ "27 NaN \n",
+ "28 NaN \n",
+ "29 NaN \n",
+ "30 NaN \n",
+ "31 NaN \n",
+ "32 NaN \n",
+ "33 NaN \n",
+ "34 NaN \n",
+ "35 NaN \n",
+ "36 NaN \n",
+ "37 NaN \n",
+ "38 NaN \n",
+ "39 NaN \n",
+ "40 NaN \n",
+ "41 NaN \n",
+ "42 NaN \n",
+ "43 NaN \n",
+ "44 NaN \n",
+ "45 NaN \n",
+ "46 NaN \n",
+ "47 NaN \n",
+ "48 NaN \n",
+ "49 NaN \n",
+ "50 NaN \n",
+ "51 NaN \n",
+ "52 NaN \n",
+ "53 NaN \n",
+ "\n",
+ " NaN \\\n",
+ "Week number week over the previous 5 years 1, 10, 11 (Engl... \n",
+ "1 11412 \n",
+ "2 12933 \n",
+ "3 12370 \n",
+ "4 11933 \n",
+ "5 11419 \n",
+ "6 11154 \n",
+ "7 10876 \n",
+ "8 10790 \n",
+ "9 10448 \n",
+ "10 10745 \n",
+ "11 10447 \n",
+ "12 9841 \n",
+ "13 9414 \n",
+ "14 9601 \n",
+ "15 9807 \n",
+ "16 9787 \n",
+ "17 9768 \n",
+ "18 9289 \n",
+ "19 8937 \n",
+ "20 9526 \n",
+ "21 9299 \n",
+ "22 7607 \n",
+ "23 9346 \n",
+ "24 8803 \n",
+ "25 8810 \n",
+ "26 8695 \n",
+ "27 8606 \n",
+ "28 8648 \n",
+ "29 8502 \n",
+ "30 8452 \n",
+ "31 8436 \n",
+ "32 8502 \n",
+ "33 8494 \n",
+ "34 8560 \n",
+ "35 7674 \n",
+ "36 8604 \n",
+ "37 8708 \n",
+ "38 8663 \n",
+ "39 8744 \n",
+ "40 8942 \n",
+ "41 9168 \n",
+ "42 9215 \n",
+ "43 9104 \n",
+ "44 9248 \n",
+ "45 9675 \n",
+ "46 9662 \n",
+ "47 9701 \n",
+ "48 9690 \n",
+ "49 9995 \n",
+ "50 10034 \n",
+ "51 10804 \n",
+ "52 7421 \n",
+ "53 7421 \n",
+ "\n",
+ " NaN \\\n",
+ "Week number Total deaths: average of corresponding \n",
+ "1 NaN \n",
+ "2 NaN \n",
+ "3 NaN \n",
+ "4 NaN \n",
+ "5 NaN \n",
+ "6 NaN \n",
+ "7 NaN \n",
+ "8 NaN \n",
+ "9 NaN \n",
+ "10 NaN \n",
+ "11 NaN \n",
+ "12 NaN \n",
+ "13 NaN \n",
+ "14 NaN \n",
+ "15 NaN \n",
+ "16 NaN \n",
+ "17 NaN \n",
+ "18 NaN \n",
+ "19 NaN \n",
+ "20 NaN \n",
+ "21 NaN \n",
+ "22 NaN \n",
+ "23 NaN \n",
+ "24 NaN \n",
+ "25 NaN \n",
+ "26 NaN \n",
+ "27 NaN \n",
+ "28 NaN \n",
+ "29 NaN \n",
+ "30 NaN \n",
+ "31 NaN \n",
+ "32 NaN \n",
+ "33 NaN \n",
+ "34 NaN \n",
+ "35 NaN \n",
+ "36 NaN \n",
+ "37 NaN \n",
+ "38 NaN \n",
+ "39 NaN \n",
+ "40 NaN \n",
+ "41 NaN \n",
+ "42 NaN \n",
+ "43 NaN \n",
+ "44 NaN \n",
+ "45 NaN \n",
+ "46 NaN \n",
+ "47 NaN \n",
+ "48 NaN \n",
+ "49 NaN \n",
+ "50 NaN \n",
+ "51 NaN \n",
+ "52 NaN \n",
+ "53 NaN \n",
+ "\n",
+ " NaN ... North East \\\n",
+ "Week number week over the previous 5 years 1, 10, 11 (Wales) ... E12000001 \n",
+ "1 756 ... 673 \n",
+ "2 856 ... 707 \n",
+ "3 812 ... 647 \n",
+ "4 802 ... 612 \n",
+ "5 760 ... 561 \n",
+ "6 729 ... 564 \n",
+ "7 722 ... 573 \n",
+ "8 724 ... 539 \n",
+ "9 698 ... 572 \n",
+ "10 720 ... 568 \n",
+ "11 727 ... 590 \n",
+ "12 677 ... 522 \n",
+ "13 665 ... 542 \n",
+ "14 667 ... 770 \n",
+ "15 671 ... 849 \n",
+ "16 661 ... 1155 \n",
+ "17 662 ... 1103 \n",
+ "18 624 ... 922 \n",
+ "19 612 ... 769 \n",
+ "20 635 ... 845 \n",
+ "21 614 ... 718 \n",
+ "22 546 ... 550 \n",
+ "23 610 ... 576 \n",
+ "24 588 ... 478 \n",
+ "25 573 ... 498 \n",
+ "26 571 ... 485 \n",
+ "27 555 ... 515 \n",
+ "28 578 ... 468 \n",
+ "29 557 ... 445 \n",
+ "30 566 ... 493 \n",
+ "31 572 ... 507 \n",
+ "32 571 ... 486 \n",
+ "33 564 ... 520 \n",
+ "34 573 ... 479 \n",
+ "35 539 ... 455 \n",
+ "36 552 ... 431 \n",
+ "37 577 ... 502 \n",
+ "38 575 ... 465 \n",
+ "39 604 ... 514 \n",
+ "40 587 ... 558 \n",
+ "41 615 ... 544 \n",
+ "42 630 ... 606 \n",
+ "43 628 ... 600 \n",
+ "44 616 ... 591 \n",
+ "45 625 ... 675 \n",
+ "46 658 ... 711 \n",
+ "47 653 ... 691 \n",
+ "48 646 ... 679 \n",
+ "49 679 ... 645 \n",
+ "50 693 ... 661 \n",
+ "51 718 ... 689 \n",
+ "52 518 ... 669 \n",
+ "53 518 ... 547 \n",
+ "\n",
+ " North West Yorkshire and The Humber East Midlands West Midlands \\\n",
+ "Week number E12000002 E12000003 E12000004 E12000005 \n",
+ "1 1806 1240 1060 1349 \n",
+ "2 1932 1339 1195 1450 \n",
+ "3 1696 1278 1106 1407 \n",
+ "4 1529 1187 1024 1231 \n",
+ "5 1461 1136 1015 1262 \n",
+ "6 1529 1072 922 1052 \n",
+ "7 1427 1059 976 1159 \n",
+ "8 1477 1087 924 1116 \n",
+ "9 1476 1078 919 1174 \n",
+ "10 1490 1112 930 1098 \n",
+ "11 1472 1053 915 1187 \n",
+ "12 1443 1012 947 1115 \n",
+ "13 1538 982 922 1035 \n",
+ "14 2137 1436 1246 1812 \n",
+ "15 2597 1503 1452 2182 \n",
+ "16 3195 1960 1632 2536 \n",
+ "17 3109 2095 1711 2481 \n",
+ "18 2503 1844 1418 1975 \n",
+ "19 1790 1328 1094 1326 \n",
+ "20 1992 1589 1283 1502 \n",
+ "21 1636 1236 1041 1319 \n",
+ "22 1337 1046 863 970 \n",
+ "23 1478 1090 931 1172 \n",
+ "24 1374 980 967 1096 \n",
+ "25 1234 952 835 973 \n",
+ "26 1300 922 800 946 \n",
+ "27 1225 875 827 949 \n",
+ "28 1154 848 771 902 \n",
+ "29 1159 843 816 956 \n",
+ "30 1197 817 798 964 \n",
+ "31 1272 837 729 902 \n",
+ "32 1211 851 798 933 \n",
+ "33 1304 853 829 923 \n",
+ "34 1269 870 780 1028 \n",
+ "35 1148 922 724 945 \n",
+ "36 1057 780 640 770 \n",
+ "37 1229 952 867 1021 \n",
+ "38 1287 939 795 1051 \n",
+ "39 1271 965 825 1036 \n",
+ "40 1301 978 842 1045 \n",
+ "41 1367 1067 884 1053 \n",
+ "42 1553 1001 904 1154 \n",
+ "43 1714 1111 891 1124 \n",
+ "44 1754 1168 882 1102 \n",
+ "45 1900 1294 990 1186 \n",
+ "46 1950 1350 1099 1317 \n",
+ "47 1935 1441 1105 1385 \n",
+ "48 1791 1501 1218 1358 \n",
+ "49 1679 1403 1121 1340 \n",
+ "50 1691 1326 1199 1432 \n",
+ "51 1718 1380 1199 1385 \n",
+ "52 1463 1130 1097 1217 \n",
+ "53 1346 886 842 1024 \n",
+ "\n",
+ " East London South East South West Wales \n",
+ "Week number E12000006 E12000007 E12000008 E12000009 W92000004 \n",
+ "1 1162 1113 1814 1225 787 \n",
+ "2 1573 1272 2132 1487 939 \n",
+ "3 1457 1073 2064 1466 767 \n",
+ "4 1410 1028 1833 1253 723 \n",
+ "5 1286 1092 1820 1233 727 \n",
+ "6 1259 987 1729 1157 690 \n",
+ "7 1172 967 1688 1169 728 \n",
+ "8 1167 1032 1675 1118 679 \n",
+ "9 1115 1085 1587 1133 651 \n",
+ "10 1149 982 1726 1170 652 \n",
+ "11 1211 964 1751 1174 675 \n",
+ "12 1043 1008 1657 1156 719 \n",
+ "13 1182 1297 1822 1092 719 \n",
+ "14 1717 2511 2294 1520 920 \n",
+ "15 1984 2832 2604 1560 928 \n",
+ "16 2466 3275 3084 1854 1169 \n",
+ "17 2299 2785 3334 1924 1124 \n",
+ "18 1982 1953 2853 1554 929 \n",
+ "19 1321 1213 1887 1218 692 \n",
+ "20 1543 1329 2251 1449 772 \n",
+ "21 1397 1125 1937 1177 692 \n",
+ "22 1095 841 1515 1011 587 \n",
+ "23 1131 891 1610 1116 700 \n",
+ "24 1048 883 1530 1035 574 \n",
+ "25 927 896 1411 990 617 \n",
+ "26 880 791 1311 979 552 \n",
+ "27 922 837 1454 938 584 \n",
+ "28 999 803 1228 930 572 \n",
+ "29 945 806 1339 953 550 \n",
+ "30 951 816 1340 941 565 \n",
+ "31 949 773 1447 988 531 \n",
+ "32 955 832 1370 929 563 \n",
+ "33 1006 928 1395 1009 617 \n",
+ "34 1024 920 1608 1043 594 \n",
+ "35 951 810 1511 959 591 \n",
+ "36 806 737 1208 803 488 \n",
+ "37 1052 898 1610 1084 578 \n",
+ "38 1023 844 1530 1021 555 \n",
+ "39 963 869 1521 1041 617 \n",
+ "40 1054 899 1577 1003 671 \n",
+ "41 1019 902 1462 1010 638 \n",
+ "42 1056 923 1462 1174 688 \n",
+ "43 1154 922 1510 1044 661 \n",
+ "44 1089 888 1563 1129 712 \n",
+ "45 1177 952 1614 1174 832 \n",
+ "46 1172 1112 1616 1168 742 \n",
+ "47 1186 1086 1687 1159 848 \n",
+ "48 1159 1012 1655 1272 797 \n",
+ "49 1229 1029 1720 1284 836 \n",
+ "50 1224 1065 1706 1156 814 \n",
+ "51 1317 1167 1947 1311 882 \n",
+ "52 1198 1090 1701 1115 825 \n",
+ "53 997 1159 1595 929 727 \n",
+ "\n",
+ "[54 rows x 91 columns]"
+ ]
+ },
+ "execution_count": 432,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "eng_xls = pd.read_excel(england_wales_filename, \n",
+ " sheet_name=\"Weekly figures 2020\",\n",
+ " skiprows=[0, 1, 2, 3],\n",
+ " header=0,\n",
+ " index_col=[1]\n",
+ " ).iloc[:91].T\n",
+ "eng_xls"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 433,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "# eng_xls_columns"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 434,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "eng_xls_columns = list(eng_xls.columns)\n",
+ "\n",
+ "for i, c in enumerate(eng_xls_columns):\n",
+ "# print(i, c, type(c), isinstance(c, float))\n",
+ " if isinstance(c, float) and np.isnan(c):\n",
+ " if eng_xls.iloc[0].iloc[i] is not pd.NaT:\n",
+ " eng_xls_columns[i] = eng_xls.iloc[0].iloc[i]\n",
+ "\n",
+ "# np.isnan(eng_xls_columns[0])\n",
+ "# eng_xls_columns\n",
+ "\n",
+ "eng_xls.columns = eng_xls_columns\n",
+ "# eng_xls.columns"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 435,
+ "metadata": {
+ "scrolled": true
+ },
+ "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>Week ended</th>\n",
+ " <th>NaN</th>\n",
+ " <th>NaN</th>\n",
+ " <th>Total deaths, all ages</th>\n",
+ " <th>Total deaths: average of corresponding</th>\n",
+ " <th>week over the previous 5 years 1, 10, 11 (England and Wales)</th>\n",
+ " <th>Total deaths: average of corresponding</th>\n",
+ " <th>week over the previous 5 years 1, 10, 11 (England)</th>\n",
+ " <th>Total deaths: average of corresponding</th>\n",
+ " <th>week over the previous 5 years 1, 10, 11 (Wales)</th>\n",
+ " <th>...</th>\n",
+ " <th>North East</th>\n",
+ " <th>North West</th>\n",
+ " <th>Yorkshire and The Humber</th>\n",
+ " <th>East Midlands</th>\n",
+ " <th>West Midlands</th>\n",
+ " <th>East</th>\n",
+ " <th>London</th>\n",
+ " <th>South East</th>\n",
+ " <th>South West</th>\n",
+ " <th>Wales</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>Week number</th>\n",
+ " <td>Week ended</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>Total deaths, all ages</td>\n",
+ " <td>Total deaths: average of corresponding</td>\n",
+ " <td>week over the previous 5 years 1, 10, 11 (Engl...</td>\n",
+ " <td>Total deaths: average of corresponding</td>\n",
+ " <td>week over the previous 5 years 1, 10, 11 (Engl...</td>\n",
+ " <td>Total deaths: average of corresponding</td>\n",
+ " <td>week over the previous 5 years 1, 10, 11 (Wales)</td>\n",
+ " <td>...</td>\n",
+ " <td>E12000001</td>\n",
+ " <td>E12000002</td>\n",
+ " <td>E12000003</td>\n",
+ " <td>E12000004</td>\n",
+ " <td>E12000005</td>\n",
+ " <td>E12000006</td>\n",
+ " <td>E12000007</td>\n",
+ " <td>E12000008</td>\n",
+ " <td>E12000009</td>\n",
+ " <td>W92000004</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2020-01-03 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12254</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12175</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11412</td>\n",
+ " <td>NaN</td>\n",
+ " <td>756</td>\n",
+ " <td>...</td>\n",
+ " <td>673</td>\n",
+ " <td>1806</td>\n",
+ " <td>1240</td>\n",
+ " <td>1060</td>\n",
+ " <td>1349</td>\n",
+ " <td>1162</td>\n",
+ " <td>1113</td>\n",
+ " <td>1814</td>\n",
+ " <td>1225</td>\n",
+ " <td>787</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>2020-01-10 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>14058</td>\n",
+ " <td>NaN</td>\n",
+ " <td>13822</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12933</td>\n",
+ " <td>NaN</td>\n",
+ " <td>856</td>\n",
+ " <td>...</td>\n",
+ " <td>707</td>\n",
+ " <td>1932</td>\n",
+ " <td>1339</td>\n",
+ " <td>1195</td>\n",
+ " <td>1450</td>\n",
+ " <td>1573</td>\n",
+ " <td>1272</td>\n",
+ " <td>2132</td>\n",
+ " <td>1487</td>\n",
+ " <td>939</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>2020-01-17 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12990</td>\n",
+ " <td>NaN</td>\n",
+ " <td>13216</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12370</td>\n",
+ " <td>NaN</td>\n",
+ " <td>812</td>\n",
+ " <td>...</td>\n",
+ " <td>647</td>\n",
+ " <td>1696</td>\n",
+ " <td>1278</td>\n",
+ " <td>1106</td>\n",
+ " <td>1407</td>\n",
+ " <td>1457</td>\n",
+ " <td>1073</td>\n",
+ " <td>2064</td>\n",
+ " <td>1466</td>\n",
+ " <td>767</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>2020-01-24 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11856</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12760</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11933</td>\n",
+ " <td>NaN</td>\n",
+ " <td>802</td>\n",
+ " <td>...</td>\n",
+ " <td>612</td>\n",
+ " <td>1529</td>\n",
+ " <td>1187</td>\n",
+ " <td>1024</td>\n",
+ " <td>1231</td>\n",
+ " <td>1410</td>\n",
+ " <td>1028</td>\n",
+ " <td>1833</td>\n",
+ " <td>1253</td>\n",
+ " <td>723</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5</th>\n",
+ " <td>2020-01-31 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11612</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12206</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11419</td>\n",
+ " <td>NaN</td>\n",
+ " <td>760</td>\n",
+ " <td>...</td>\n",
+ " <td>561</td>\n",
+ " <td>1461</td>\n",
+ " <td>1136</td>\n",
+ " <td>1015</td>\n",
+ " <td>1262</td>\n",
+ " <td>1286</td>\n",
+ " <td>1092</td>\n",
+ " <td>1820</td>\n",
+ " <td>1233</td>\n",
+ " <td>727</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6</th>\n",
+ " <td>2020-02-07 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10986</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11925</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11154</td>\n",
+ " <td>NaN</td>\n",
+ " <td>729</td>\n",
+ " <td>...</td>\n",
+ " <td>564</td>\n",
+ " <td>1529</td>\n",
+ " <td>1072</td>\n",
+ " <td>922</td>\n",
+ " <td>1052</td>\n",
+ " <td>1259</td>\n",
+ " <td>987</td>\n",
+ " <td>1729</td>\n",
+ " <td>1157</td>\n",
+ " <td>690</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7</th>\n",
+ " <td>2020-02-14 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10944</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11627</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10876</td>\n",
+ " <td>NaN</td>\n",
+ " <td>722</td>\n",
+ " <td>...</td>\n",
+ " <td>573</td>\n",
+ " <td>1427</td>\n",
+ " <td>1059</td>\n",
+ " <td>976</td>\n",
+ " <td>1159</td>\n",
+ " <td>1172</td>\n",
+ " <td>967</td>\n",
+ " <td>1688</td>\n",
+ " <td>1169</td>\n",
+ " <td>728</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8</th>\n",
+ " <td>2020-02-21 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10841</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11548</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10790</td>\n",
+ " <td>NaN</td>\n",
+ " <td>724</td>\n",
+ " <td>...</td>\n",
+ " <td>539</td>\n",
+ " <td>1477</td>\n",
+ " <td>1087</td>\n",
+ " <td>924</td>\n",
+ " <td>1116</td>\n",
+ " <td>1167</td>\n",
+ " <td>1032</td>\n",
+ " <td>1675</td>\n",
+ " <td>1118</td>\n",
+ " <td>679</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9</th>\n",
+ " <td>2020-02-28 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10816</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11183</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10448</td>\n",
+ " <td>NaN</td>\n",
+ " <td>698</td>\n",
+ " <td>...</td>\n",
+ " <td>572</td>\n",
+ " <td>1476</td>\n",
+ " <td>1078</td>\n",
+ " <td>919</td>\n",
+ " <td>1174</td>\n",
+ " <td>1115</td>\n",
+ " <td>1085</td>\n",
+ " <td>1587</td>\n",
+ " <td>1133</td>\n",
+ " <td>651</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>10</th>\n",
+ " <td>2020-03-06 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10895</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11498</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10745</td>\n",
+ " <td>NaN</td>\n",
+ " <td>720</td>\n",
+ " <td>...</td>\n",
+ " <td>568</td>\n",
+ " <td>1490</td>\n",
+ " <td>1112</td>\n",
+ " <td>930</td>\n",
+ " <td>1098</td>\n",
+ " <td>1149</td>\n",
+ " <td>982</td>\n",
+ " <td>1726</td>\n",
+ " <td>1170</td>\n",
+ " <td>652</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>11</th>\n",
+ " <td>2020-03-13 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11019</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11205</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10447</td>\n",
+ " <td>NaN</td>\n",
+ " <td>727</td>\n",
+ " <td>...</td>\n",
+ " <td>590</td>\n",
+ " <td>1472</td>\n",
+ " <td>1053</td>\n",
+ " <td>915</td>\n",
+ " <td>1187</td>\n",
+ " <td>1211</td>\n",
+ " <td>964</td>\n",
+ " <td>1751</td>\n",
+ " <td>1174</td>\n",
+ " <td>675</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>12</th>\n",
+ " <td>2020-03-20 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10645</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10573</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9841</td>\n",
+ " <td>NaN</td>\n",
+ " <td>677</td>\n",
+ " <td>...</td>\n",
+ " <td>522</td>\n",
+ " <td>1443</td>\n",
+ " <td>1012</td>\n",
+ " <td>947</td>\n",
+ " <td>1115</td>\n",
+ " <td>1043</td>\n",
+ " <td>1008</td>\n",
+ " <td>1657</td>\n",
+ " <td>1156</td>\n",
+ " <td>719</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>13</th>\n",
+ " <td>2020-03-27 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11141</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10130</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9414</td>\n",
+ " <td>NaN</td>\n",
+ " <td>665</td>\n",
+ " <td>...</td>\n",
+ " <td>542</td>\n",
+ " <td>1538</td>\n",
+ " <td>982</td>\n",
+ " <td>922</td>\n",
+ " <td>1035</td>\n",
+ " <td>1182</td>\n",
+ " <td>1297</td>\n",
+ " <td>1822</td>\n",
+ " <td>1092</td>\n",
+ " <td>719</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>14</th>\n",
+ " <td>2020-04-03 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>16387</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10305</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9601</td>\n",
+ " <td>NaN</td>\n",
+ " <td>667</td>\n",
+ " <td>...</td>\n",
+ " <td>770</td>\n",
+ " <td>2137</td>\n",
+ " <td>1436</td>\n",
+ " <td>1246</td>\n",
+ " <td>1812</td>\n",
+ " <td>1717</td>\n",
+ " <td>2511</td>\n",
+ " <td>2294</td>\n",
+ " <td>1520</td>\n",
+ " <td>920</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15</th>\n",
+ " <td>2020-04-10 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>18516</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10520</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9807</td>\n",
+ " <td>NaN</td>\n",
+ " <td>671</td>\n",
+ " <td>...</td>\n",
+ " <td>849</td>\n",
+ " <td>2597</td>\n",
+ " <td>1503</td>\n",
+ " <td>1452</td>\n",
+ " <td>2182</td>\n",
+ " <td>1984</td>\n",
+ " <td>2832</td>\n",
+ " <td>2604</td>\n",
+ " <td>1560</td>\n",
+ " <td>928</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16</th>\n",
+ " <td>2020-04-17 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>22351</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10497</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9787</td>\n",
+ " <td>NaN</td>\n",
+ " <td>661</td>\n",
+ " <td>...</td>\n",
+ " <td>1155</td>\n",
+ " <td>3195</td>\n",
+ " <td>1960</td>\n",
+ " <td>1632</td>\n",
+ " <td>2536</td>\n",
+ " <td>2466</td>\n",
+ " <td>3275</td>\n",
+ " <td>3084</td>\n",
+ " <td>1854</td>\n",
+ " <td>1169</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17</th>\n",
+ " <td>2020-04-24 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>21997</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10458</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9768</td>\n",
+ " <td>NaN</td>\n",
+ " <td>662</td>\n",
+ " <td>...</td>\n",
+ " <td>1103</td>\n",
+ " <td>3109</td>\n",
+ " <td>2095</td>\n",
+ " <td>1711</td>\n",
+ " <td>2481</td>\n",
+ " <td>2299</td>\n",
+ " <td>2785</td>\n",
+ " <td>3334</td>\n",
+ " <td>1924</td>\n",
+ " <td>1124</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>18</th>\n",
+ " <td>2020-05-01 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>17953</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9941</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9289</td>\n",
+ " <td>NaN</td>\n",
+ " <td>624</td>\n",
+ " <td>...</td>\n",
+ " <td>922</td>\n",
+ " <td>2503</td>\n",
+ " <td>1844</td>\n",
+ " <td>1418</td>\n",
+ " <td>1975</td>\n",
+ " <td>1982</td>\n",
+ " <td>1953</td>\n",
+ " <td>2853</td>\n",
+ " <td>1554</td>\n",
+ " <td>929</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>19</th>\n",
+ " <td>2020-05-08 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12657</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9576</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8937</td>\n",
+ " <td>NaN</td>\n",
+ " <td>612</td>\n",
+ " <td>...</td>\n",
+ " <td>769</td>\n",
+ " <td>1790</td>\n",
+ " <td>1328</td>\n",
+ " <td>1094</td>\n",
+ " <td>1326</td>\n",
+ " <td>1321</td>\n",
+ " <td>1213</td>\n",
+ " <td>1887</td>\n",
+ " <td>1218</td>\n",
+ " <td>692</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>20</th>\n",
+ " <td>2020-05-15 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>14573</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10188</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9526</td>\n",
+ " <td>NaN</td>\n",
+ " <td>635</td>\n",
+ " <td>...</td>\n",
+ " <td>845</td>\n",
+ " <td>1992</td>\n",
+ " <td>1589</td>\n",
+ " <td>1283</td>\n",
+ " <td>1502</td>\n",
+ " <td>1543</td>\n",
+ " <td>1329</td>\n",
+ " <td>2251</td>\n",
+ " <td>1449</td>\n",
+ " <td>772</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>21</th>\n",
+ " <td>2020-05-22 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12288</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9940</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9299</td>\n",
+ " <td>NaN</td>\n",
+ " <td>614</td>\n",
+ " <td>...</td>\n",
+ " <td>718</td>\n",
+ " <td>1636</td>\n",
+ " <td>1236</td>\n",
+ " <td>1041</td>\n",
+ " <td>1319</td>\n",
+ " <td>1397</td>\n",
+ " <td>1125</td>\n",
+ " <td>1937</td>\n",
+ " <td>1177</td>\n",
+ " <td>692</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>22</th>\n",
+ " <td>2020-05-29 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9824</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8171</td>\n",
+ " <td>NaN</td>\n",
+ " <td>7607</td>\n",
+ " <td>NaN</td>\n",
+ " <td>546</td>\n",
+ " <td>...</td>\n",
+ " <td>550</td>\n",
+ " <td>1337</td>\n",
+ " <td>1046</td>\n",
+ " <td>863</td>\n",
+ " <td>970</td>\n",
+ " <td>1095</td>\n",
+ " <td>841</td>\n",
+ " <td>1515</td>\n",
+ " <td>1011</td>\n",
+ " <td>587</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>23</th>\n",
+ " <td>2020-06-05 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10709</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9977</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9346</td>\n",
+ " <td>NaN</td>\n",
+ " <td>610</td>\n",
+ " <td>...</td>\n",
+ " <td>576</td>\n",
+ " <td>1478</td>\n",
+ " <td>1090</td>\n",
+ " <td>931</td>\n",
+ " <td>1172</td>\n",
+ " <td>1131</td>\n",
+ " <td>891</td>\n",
+ " <td>1610</td>\n",
+ " <td>1116</td>\n",
+ " <td>700</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24</th>\n",
+ " <td>2020-06-12 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9976</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9417</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8803</td>\n",
+ " <td>NaN</td>\n",
+ " <td>588</td>\n",
+ " <td>...</td>\n",
+ " <td>478</td>\n",
+ " <td>1374</td>\n",
+ " <td>980</td>\n",
+ " <td>967</td>\n",
+ " <td>1096</td>\n",
+ " <td>1048</td>\n",
+ " <td>883</td>\n",
+ " <td>1530</td>\n",
+ " <td>1035</td>\n",
+ " <td>574</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>25</th>\n",
+ " <td>2020-06-19 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9339</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9404</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8810</td>\n",
+ " <td>NaN</td>\n",
+ " <td>573</td>\n",
+ " <td>...</td>\n",
+ " <td>498</td>\n",
+ " <td>1234</td>\n",
+ " <td>952</td>\n",
+ " <td>835</td>\n",
+ " <td>973</td>\n",
+ " <td>927</td>\n",
+ " <td>896</td>\n",
+ " <td>1411</td>\n",
+ " <td>990</td>\n",
+ " <td>617</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>26</th>\n",
+ " <td>2020-06-26 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8979</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9293</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8695</td>\n",
+ " <td>NaN</td>\n",
+ " <td>571</td>\n",
+ " <td>...</td>\n",
+ " <td>485</td>\n",
+ " <td>1300</td>\n",
+ " <td>922</td>\n",
+ " <td>800</td>\n",
+ " <td>946</td>\n",
+ " <td>880</td>\n",
+ " <td>791</td>\n",
+ " <td>1311</td>\n",
+ " <td>979</td>\n",
+ " <td>552</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>27</th>\n",
+ " <td>2020-07-03 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9140</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9183</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8606</td>\n",
+ " <td>NaN</td>\n",
+ " <td>555</td>\n",
+ " <td>...</td>\n",
+ " <td>515</td>\n",
+ " <td>1225</td>\n",
+ " <td>875</td>\n",
+ " <td>827</td>\n",
+ " <td>949</td>\n",
+ " <td>922</td>\n",
+ " <td>837</td>\n",
+ " <td>1454</td>\n",
+ " <td>938</td>\n",
+ " <td>584</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>28</th>\n",
+ " <td>2020-07-10 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8690</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9250</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8648</td>\n",
+ " <td>NaN</td>\n",
+ " <td>578</td>\n",
+ " <td>...</td>\n",
+ " <td>468</td>\n",
+ " <td>1154</td>\n",
+ " <td>848</td>\n",
+ " <td>771</td>\n",
+ " <td>902</td>\n",
+ " <td>999</td>\n",
+ " <td>803</td>\n",
+ " <td>1228</td>\n",
+ " <td>930</td>\n",
+ " <td>572</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>29</th>\n",
+ " <td>2020-07-17 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8823</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9093</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8502</td>\n",
+ " <td>NaN</td>\n",
+ " <td>557</td>\n",
+ " <td>...</td>\n",
+ " <td>445</td>\n",
+ " <td>1159</td>\n",
+ " <td>843</td>\n",
+ " <td>816</td>\n",
+ " <td>956</td>\n",
+ " <td>945</td>\n",
+ " <td>806</td>\n",
+ " <td>1339</td>\n",
+ " <td>953</td>\n",
+ " <td>550</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>30</th>\n",
+ " <td>2020-07-24 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8891</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9052</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8452</td>\n",
+ " <td>NaN</td>\n",
+ " <td>566</td>\n",
+ " <td>...</td>\n",
+ " <td>493</td>\n",
+ " <td>1197</td>\n",
+ " <td>817</td>\n",
+ " <td>798</td>\n",
+ " <td>964</td>\n",
+ " <td>951</td>\n",
+ " <td>816</td>\n",
+ " <td>1340</td>\n",
+ " <td>941</td>\n",
+ " <td>565</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>31</th>\n",
+ " <td>2020-07-31 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8946</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9036</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8436</td>\n",
+ " <td>NaN</td>\n",
+ " <td>572</td>\n",
+ " <td>...</td>\n",
+ " <td>507</td>\n",
+ " <td>1272</td>\n",
+ " <td>837</td>\n",
+ " <td>729</td>\n",
+ " <td>902</td>\n",
+ " <td>949</td>\n",
+ " <td>773</td>\n",
+ " <td>1447</td>\n",
+ " <td>988</td>\n",
+ " <td>531</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>32</th>\n",
+ " <td>2020-08-07 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8945</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9102</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8502</td>\n",
+ " <td>NaN</td>\n",
+ " <td>571</td>\n",
+ " <td>...</td>\n",
+ " <td>486</td>\n",
+ " <td>1211</td>\n",
+ " <td>851</td>\n",
+ " <td>798</td>\n",
+ " <td>933</td>\n",
+ " <td>955</td>\n",
+ " <td>832</td>\n",
+ " <td>1370</td>\n",
+ " <td>929</td>\n",
+ " <td>563</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>33</th>\n",
+ " <td>2020-08-14 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9392</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9085</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8494</td>\n",
+ " <td>NaN</td>\n",
+ " <td>564</td>\n",
+ " <td>...</td>\n",
+ " <td>520</td>\n",
+ " <td>1304</td>\n",
+ " <td>853</td>\n",
+ " <td>829</td>\n",
+ " <td>923</td>\n",
+ " <td>1006</td>\n",
+ " <td>928</td>\n",
+ " <td>1395</td>\n",
+ " <td>1009</td>\n",
+ " <td>617</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>34</th>\n",
+ " <td>2020-08-21 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9631</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9157</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8560</td>\n",
+ " <td>NaN</td>\n",
+ " <td>573</td>\n",
+ " <td>...</td>\n",
+ " <td>479</td>\n",
+ " <td>1269</td>\n",
+ " <td>870</td>\n",
+ " <td>780</td>\n",
+ " <td>1028</td>\n",
+ " <td>1024</td>\n",
+ " <td>920</td>\n",
+ " <td>1608</td>\n",
+ " <td>1043</td>\n",
+ " <td>594</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>35</th>\n",
+ " <td>2020-08-28 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9032</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8241</td>\n",
+ " <td>NaN</td>\n",
+ " <td>7674</td>\n",
+ " <td>NaN</td>\n",
+ " <td>539</td>\n",
+ " <td>...</td>\n",
+ " <td>455</td>\n",
+ " <td>1148</td>\n",
+ " <td>922</td>\n",
+ " <td>724</td>\n",
+ " <td>945</td>\n",
+ " <td>951</td>\n",
+ " <td>810</td>\n",
+ " <td>1511</td>\n",
+ " <td>959</td>\n",
+ " <td>591</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>36</th>\n",
+ " <td>2020-09-04 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>7739</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9182</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8604</td>\n",
+ " <td>NaN</td>\n",
+ " <td>552</td>\n",
+ " <td>...</td>\n",
+ " <td>431</td>\n",
+ " <td>1057</td>\n",
+ " <td>780</td>\n",
+ " <td>640</td>\n",
+ " <td>770</td>\n",
+ " <td>806</td>\n",
+ " <td>737</td>\n",
+ " <td>1208</td>\n",
+ " <td>803</td>\n",
+ " <td>488</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>37</th>\n",
+ " <td>2020-09-11 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9811</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9306</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8708</td>\n",
+ " <td>NaN</td>\n",
+ " <td>577</td>\n",
+ " <td>...</td>\n",
+ " <td>502</td>\n",
+ " <td>1229</td>\n",
+ " <td>952</td>\n",
+ " <td>867</td>\n",
+ " <td>1021</td>\n",
+ " <td>1052</td>\n",
+ " <td>898</td>\n",
+ " <td>1610</td>\n",
+ " <td>1084</td>\n",
+ " <td>578</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>38</th>\n",
+ " <td>2020-09-18 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9523</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9264</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8663</td>\n",
+ " <td>NaN</td>\n",
+ " <td>575</td>\n",
+ " <td>...</td>\n",
+ " <td>465</td>\n",
+ " <td>1287</td>\n",
+ " <td>939</td>\n",
+ " <td>795</td>\n",
+ " <td>1051</td>\n",
+ " <td>1023</td>\n",
+ " <td>844</td>\n",
+ " <td>1530</td>\n",
+ " <td>1021</td>\n",
+ " <td>555</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>39</th>\n",
+ " <td>2020-09-25 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9634</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9377</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8744</td>\n",
+ " <td>NaN</td>\n",
+ " <td>604</td>\n",
+ " <td>...</td>\n",
+ " <td>514</td>\n",
+ " <td>1271</td>\n",
+ " <td>965</td>\n",
+ " <td>825</td>\n",
+ " <td>1036</td>\n",
+ " <td>963</td>\n",
+ " <td>869</td>\n",
+ " <td>1521</td>\n",
+ " <td>1041</td>\n",
+ " <td>617</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>40</th>\n",
+ " <td>2020-10-02 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9945</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9555</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8942</td>\n",
+ " <td>NaN</td>\n",
+ " <td>587</td>\n",
+ " <td>...</td>\n",
+ " <td>558</td>\n",
+ " <td>1301</td>\n",
+ " <td>978</td>\n",
+ " <td>842</td>\n",
+ " <td>1045</td>\n",
+ " <td>1054</td>\n",
+ " <td>899</td>\n",
+ " <td>1577</td>\n",
+ " <td>1003</td>\n",
+ " <td>671</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>41</th>\n",
+ " <td>2020-10-09 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9954</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9811</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9168</td>\n",
+ " <td>NaN</td>\n",
+ " <td>615</td>\n",
+ " <td>...</td>\n",
+ " <td>544</td>\n",
+ " <td>1367</td>\n",
+ " <td>1067</td>\n",
+ " <td>884</td>\n",
+ " <td>1053</td>\n",
+ " <td>1019</td>\n",
+ " <td>902</td>\n",
+ " <td>1462</td>\n",
+ " <td>1010</td>\n",
+ " <td>638</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>42</th>\n",
+ " <td>2020-10-16 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10534</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9865</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9215</td>\n",
+ " <td>NaN</td>\n",
+ " <td>630</td>\n",
+ " <td>...</td>\n",
+ " <td>606</td>\n",
+ " <td>1553</td>\n",
+ " <td>1001</td>\n",
+ " <td>904</td>\n",
+ " <td>1154</td>\n",
+ " <td>1056</td>\n",
+ " <td>923</td>\n",
+ " <td>1462</td>\n",
+ " <td>1174</td>\n",
+ " <td>688</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>43</th>\n",
+ " <td>2020-10-23 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10739</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9759</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9104</td>\n",
+ " <td>NaN</td>\n",
+ " <td>628</td>\n",
+ " <td>...</td>\n",
+ " <td>600</td>\n",
+ " <td>1714</td>\n",
+ " <td>1111</td>\n",
+ " <td>891</td>\n",
+ " <td>1124</td>\n",
+ " <td>1154</td>\n",
+ " <td>922</td>\n",
+ " <td>1510</td>\n",
+ " <td>1044</td>\n",
+ " <td>661</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>44</th>\n",
+ " <td>2020-10-30 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10887</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9891</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9248</td>\n",
+ " <td>NaN</td>\n",
+ " <td>616</td>\n",
+ " <td>...</td>\n",
+ " <td>591</td>\n",
+ " <td>1754</td>\n",
+ " <td>1168</td>\n",
+ " <td>882</td>\n",
+ " <td>1102</td>\n",
+ " <td>1089</td>\n",
+ " <td>888</td>\n",
+ " <td>1563</td>\n",
+ " <td>1129</td>\n",
+ " <td>712</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>45</th>\n",
+ " <td>2020-11-06 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11812</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10331</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9675</td>\n",
+ " <td>NaN</td>\n",
+ " <td>625</td>\n",
+ " <td>...</td>\n",
+ " <td>675</td>\n",
+ " <td>1900</td>\n",
+ " <td>1294</td>\n",
+ " <td>990</td>\n",
+ " <td>1186</td>\n",
+ " <td>1177</td>\n",
+ " <td>952</td>\n",
+ " <td>1614</td>\n",
+ " <td>1174</td>\n",
+ " <td>832</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>46</th>\n",
+ " <td>2020-11-13 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12254</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10350</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9662</td>\n",
+ " <td>NaN</td>\n",
+ " <td>658</td>\n",
+ " <td>...</td>\n",
+ " <td>711</td>\n",
+ " <td>1950</td>\n",
+ " <td>1350</td>\n",
+ " <td>1099</td>\n",
+ " <td>1317</td>\n",
+ " <td>1172</td>\n",
+ " <td>1112</td>\n",
+ " <td>1616</td>\n",
+ " <td>1168</td>\n",
+ " <td>742</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>47</th>\n",
+ " <td>2020-11-20 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12535</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10380</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9701</td>\n",
+ " <td>NaN</td>\n",
+ " <td>653</td>\n",
+ " <td>...</td>\n",
+ " <td>691</td>\n",
+ " <td>1935</td>\n",
+ " <td>1441</td>\n",
+ " <td>1105</td>\n",
+ " <td>1385</td>\n",
+ " <td>1186</td>\n",
+ " <td>1086</td>\n",
+ " <td>1687</td>\n",
+ " <td>1159</td>\n",
+ " <td>848</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>48</th>\n",
+ " <td>2020-11-27 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12456</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10357</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9690</td>\n",
+ " <td>NaN</td>\n",
+ " <td>646</td>\n",
+ " <td>...</td>\n",
+ " <td>679</td>\n",
+ " <td>1791</td>\n",
+ " <td>1501</td>\n",
+ " <td>1218</td>\n",
+ " <td>1358</td>\n",
+ " <td>1159</td>\n",
+ " <td>1012</td>\n",
+ " <td>1655</td>\n",
+ " <td>1272</td>\n",
+ " <td>797</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>49</th>\n",
+ " <td>2020-12-04 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12303</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10695</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9995</td>\n",
+ " <td>NaN</td>\n",
+ " <td>679</td>\n",
+ " <td>...</td>\n",
+ " <td>645</td>\n",
+ " <td>1679</td>\n",
+ " <td>1403</td>\n",
+ " <td>1121</td>\n",
+ " <td>1340</td>\n",
+ " <td>1229</td>\n",
+ " <td>1029</td>\n",
+ " <td>1720</td>\n",
+ " <td>1284</td>\n",
+ " <td>836</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50</th>\n",
+ " <td>2020-12-11 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12292</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10750</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10034</td>\n",
+ " <td>NaN</td>\n",
+ " <td>693</td>\n",
+ " <td>...</td>\n",
+ " <td>661</td>\n",
+ " <td>1691</td>\n",
+ " <td>1326</td>\n",
+ " <td>1199</td>\n",
+ " <td>1432</td>\n",
+ " <td>1224</td>\n",
+ " <td>1065</td>\n",
+ " <td>1706</td>\n",
+ " <td>1156</td>\n",
+ " <td>814</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>51</th>\n",
+ " <td>2020-12-18 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>13011</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11548</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10804</td>\n",
+ " <td>NaN</td>\n",
+ " <td>718</td>\n",
+ " <td>...</td>\n",
+ " <td>689</td>\n",
+ " <td>1718</td>\n",
+ " <td>1380</td>\n",
+ " <td>1199</td>\n",
+ " <td>1385</td>\n",
+ " <td>1317</td>\n",
+ " <td>1167</td>\n",
+ " <td>1947</td>\n",
+ " <td>1311</td>\n",
+ " <td>882</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>52</th>\n",
+ " <td>2020-12-25 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11520</td>\n",
+ " <td>NaN</td>\n",
+ " <td>7954</td>\n",
+ " <td>NaN</td>\n",
+ " <td>7421</td>\n",
+ " <td>NaN</td>\n",
+ " <td>518</td>\n",
+ " <td>...</td>\n",
+ " <td>669</td>\n",
+ " <td>1463</td>\n",
+ " <td>1130</td>\n",
+ " <td>1097</td>\n",
+ " <td>1217</td>\n",
+ " <td>1198</td>\n",
+ " <td>1090</td>\n",
+ " <td>1701</td>\n",
+ " <td>1115</td>\n",
+ " <td>825</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>53</th>\n",
+ " <td>2021-01-01 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10069</td>\n",
+ " <td>NaN</td>\n",
+ " <td>7954</td>\n",
+ " <td>NaN</td>\n",
+ " <td>7421</td>\n",
+ " <td>NaN</td>\n",
+ " <td>518</td>\n",
+ " <td>...</td>\n",
+ " <td>547</td>\n",
+ " <td>1346</td>\n",
+ " <td>886</td>\n",
+ " <td>842</td>\n",
+ " <td>1024</td>\n",
+ " <td>997</td>\n",
+ " <td>1159</td>\n",
+ " <td>1595</td>\n",
+ " <td>929</td>\n",
+ " <td>727</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>54 rows × 91 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " Week ended NaN NaN Total deaths, all ages \\\n",
+ "Week number Week ended NaN NaN Total deaths, all ages \n",
+ "1 2020-01-03 00:00:00 NaN NaN 12254 \n",
+ "2 2020-01-10 00:00:00 NaN NaN 14058 \n",
+ "3 2020-01-17 00:00:00 NaN NaN 12990 \n",
+ "4 2020-01-24 00:00:00 NaN NaN 11856 \n",
+ "5 2020-01-31 00:00:00 NaN NaN 11612 \n",
+ "6 2020-02-07 00:00:00 NaN NaN 10986 \n",
+ "7 2020-02-14 00:00:00 NaN NaN 10944 \n",
+ "8 2020-02-21 00:00:00 NaN NaN 10841 \n",
+ "9 2020-02-28 00:00:00 NaN NaN 10816 \n",
+ "10 2020-03-06 00:00:00 NaN NaN 10895 \n",
+ "11 2020-03-13 00:00:00 NaN NaN 11019 \n",
+ "12 2020-03-20 00:00:00 NaN NaN 10645 \n",
+ "13 2020-03-27 00:00:00 NaN NaN 11141 \n",
+ "14 2020-04-03 00:00:00 NaN NaN 16387 \n",
+ "15 2020-04-10 00:00:00 NaN NaN 18516 \n",
+ "16 2020-04-17 00:00:00 NaN NaN 22351 \n",
+ "17 2020-04-24 00:00:00 NaN NaN 21997 \n",
+ "18 2020-05-01 00:00:00 NaN NaN 17953 \n",
+ "19 2020-05-08 00:00:00 NaN NaN 12657 \n",
+ "20 2020-05-15 00:00:00 NaN NaN 14573 \n",
+ "21 2020-05-22 00:00:00 NaN NaN 12288 \n",
+ "22 2020-05-29 00:00:00 NaN NaN 9824 \n",
+ "23 2020-06-05 00:00:00 NaN NaN 10709 \n",
+ "24 2020-06-12 00:00:00 NaN NaN 9976 \n",
+ "25 2020-06-19 00:00:00 NaN NaN 9339 \n",
+ "26 2020-06-26 00:00:00 NaN NaN 8979 \n",
+ "27 2020-07-03 00:00:00 NaN NaN 9140 \n",
+ "28 2020-07-10 00:00:00 NaN NaN 8690 \n",
+ "29 2020-07-17 00:00:00 NaN NaN 8823 \n",
+ "30 2020-07-24 00:00:00 NaN NaN 8891 \n",
+ "31 2020-07-31 00:00:00 NaN NaN 8946 \n",
+ "32 2020-08-07 00:00:00 NaN NaN 8945 \n",
+ "33 2020-08-14 00:00:00 NaN NaN 9392 \n",
+ "34 2020-08-21 00:00:00 NaN NaN 9631 \n",
+ "35 2020-08-28 00:00:00 NaN NaN 9032 \n",
+ "36 2020-09-04 00:00:00 NaN NaN 7739 \n",
+ "37 2020-09-11 00:00:00 NaN NaN 9811 \n",
+ "38 2020-09-18 00:00:00 NaN NaN 9523 \n",
+ "39 2020-09-25 00:00:00 NaN NaN 9634 \n",
+ "40 2020-10-02 00:00:00 NaN NaN 9945 \n",
+ "41 2020-10-09 00:00:00 NaN NaN 9954 \n",
+ "42 2020-10-16 00:00:00 NaN NaN 10534 \n",
+ "43 2020-10-23 00:00:00 NaN NaN 10739 \n",
+ "44 2020-10-30 00:00:00 NaN NaN 10887 \n",
+ "45 2020-11-06 00:00:00 NaN NaN 11812 \n",
+ "46 2020-11-13 00:00:00 NaN NaN 12254 \n",
+ "47 2020-11-20 00:00:00 NaN NaN 12535 \n",
+ "48 2020-11-27 00:00:00 NaN NaN 12456 \n",
+ "49 2020-12-04 00:00:00 NaN NaN 12303 \n",
+ "50 2020-12-11 00:00:00 NaN NaN 12292 \n",
+ "51 2020-12-18 00:00:00 NaN NaN 13011 \n",
+ "52 2020-12-25 00:00:00 NaN NaN 11520 \n",
+ "53 2021-01-01 00:00:00 NaN NaN 10069 \n",
+ "\n",
+ " Total deaths: average of corresponding \\\n",
+ "Week number Total deaths: average of corresponding \n",
+ "1 NaN \n",
+ "2 NaN \n",
+ "3 NaN \n",
+ "4 NaN \n",
+ "5 NaN \n",
+ "6 NaN \n",
+ "7 NaN \n",
+ "8 NaN \n",
+ "9 NaN \n",
+ "10 NaN \n",
+ "11 NaN \n",
+ "12 NaN \n",
+ "13 NaN \n",
+ "14 NaN \n",
+ "15 NaN \n",
+ "16 NaN \n",
+ "17 NaN \n",
+ "18 NaN \n",
+ "19 NaN \n",
+ "20 NaN \n",
+ "21 NaN \n",
+ "22 NaN \n",
+ "23 NaN \n",
+ "24 NaN \n",
+ "25 NaN \n",
+ "26 NaN \n",
+ "27 NaN \n",
+ "28 NaN \n",
+ "29 NaN \n",
+ "30 NaN \n",
+ "31 NaN \n",
+ "32 NaN \n",
+ "33 NaN \n",
+ "34 NaN \n",
+ "35 NaN \n",
+ "36 NaN \n",
+ "37 NaN \n",
+ "38 NaN \n",
+ "39 NaN \n",
+ "40 NaN \n",
+ "41 NaN \n",
+ "42 NaN \n",
+ "43 NaN \n",
+ "44 NaN \n",
+ "45 NaN \n",
+ "46 NaN \n",
+ "47 NaN \n",
+ "48 NaN \n",
+ "49 NaN \n",
+ "50 NaN \n",
+ "51 NaN \n",
+ "52 NaN \n",
+ "53 NaN \n",
+ "\n",
+ " week over the previous 5 years 1, 10, 11 (England and Wales) \\\n",
+ "Week number week over the previous 5 years 1, 10, 11 (Engl... \n",
+ "1 12175 \n",
+ "2 13822 \n",
+ "3 13216 \n",
+ "4 12760 \n",
+ "5 12206 \n",
+ "6 11925 \n",
+ "7 11627 \n",
+ "8 11548 \n",
+ "9 11183 \n",
+ "10 11498 \n",
+ "11 11205 \n",
+ "12 10573 \n",
+ "13 10130 \n",
+ "14 10305 \n",
+ "15 10520 \n",
+ "16 10497 \n",
+ "17 10458 \n",
+ "18 9941 \n",
+ "19 9576 \n",
+ "20 10188 \n",
+ "21 9940 \n",
+ "22 8171 \n",
+ "23 9977 \n",
+ "24 9417 \n",
+ "25 9404 \n",
+ "26 9293 \n",
+ "27 9183 \n",
+ "28 9250 \n",
+ "29 9093 \n",
+ "30 9052 \n",
+ "31 9036 \n",
+ "32 9102 \n",
+ "33 9085 \n",
+ "34 9157 \n",
+ "35 8241 \n",
+ "36 9182 \n",
+ "37 9306 \n",
+ "38 9264 \n",
+ "39 9377 \n",
+ "40 9555 \n",
+ "41 9811 \n",
+ "42 9865 \n",
+ "43 9759 \n",
+ "44 9891 \n",
+ "45 10331 \n",
+ "46 10350 \n",
+ "47 10380 \n",
+ "48 10357 \n",
+ "49 10695 \n",
+ "50 10750 \n",
+ "51 11548 \n",
+ "52 7954 \n",
+ "53 7954 \n",
+ "\n",
+ " Total deaths: average of corresponding \\\n",
+ "Week number Total deaths: average of corresponding \n",
+ "1 NaN \n",
+ "2 NaN \n",
+ "3 NaN \n",
+ "4 NaN \n",
+ "5 NaN \n",
+ "6 NaN \n",
+ "7 NaN \n",
+ "8 NaN \n",
+ "9 NaN \n",
+ "10 NaN \n",
+ "11 NaN \n",
+ "12 NaN \n",
+ "13 NaN \n",
+ "14 NaN \n",
+ "15 NaN \n",
+ "16 NaN \n",
+ "17 NaN \n",
+ "18 NaN \n",
+ "19 NaN \n",
+ "20 NaN \n",
+ "21 NaN \n",
+ "22 NaN \n",
+ "23 NaN \n",
+ "24 NaN \n",
+ "25 NaN \n",
+ "26 NaN \n",
+ "27 NaN \n",
+ "28 NaN \n",
+ "29 NaN \n",
+ "30 NaN \n",
+ "31 NaN \n",
+ "32 NaN \n",
+ "33 NaN \n",
+ "34 NaN \n",
+ "35 NaN \n",
+ "36 NaN \n",
+ "37 NaN \n",
+ "38 NaN \n",
+ "39 NaN \n",
+ "40 NaN \n",
+ "41 NaN \n",
+ "42 NaN \n",
+ "43 NaN \n",
+ "44 NaN \n",
+ "45 NaN \n",
+ "46 NaN \n",
+ "47 NaN \n",
+ "48 NaN \n",
+ "49 NaN \n",
+ "50 NaN \n",
+ "51 NaN \n",
+ "52 NaN \n",
+ "53 NaN \n",
+ "\n",
+ " week over the previous 5 years 1, 10, 11 (England) \\\n",
+ "Week number week over the previous 5 years 1, 10, 11 (Engl... \n",
+ "1 11412 \n",
+ "2 12933 \n",
+ "3 12370 \n",
+ "4 11933 \n",
+ "5 11419 \n",
+ "6 11154 \n",
+ "7 10876 \n",
+ "8 10790 \n",
+ "9 10448 \n",
+ "10 10745 \n",
+ "11 10447 \n",
+ "12 9841 \n",
+ "13 9414 \n",
+ "14 9601 \n",
+ "15 9807 \n",
+ "16 9787 \n",
+ "17 9768 \n",
+ "18 9289 \n",
+ "19 8937 \n",
+ "20 9526 \n",
+ "21 9299 \n",
+ "22 7607 \n",
+ "23 9346 \n",
+ "24 8803 \n",
+ "25 8810 \n",
+ "26 8695 \n",
+ "27 8606 \n",
+ "28 8648 \n",
+ "29 8502 \n",
+ "30 8452 \n",
+ "31 8436 \n",
+ "32 8502 \n",
+ "33 8494 \n",
+ "34 8560 \n",
+ "35 7674 \n",
+ "36 8604 \n",
+ "37 8708 \n",
+ "38 8663 \n",
+ "39 8744 \n",
+ "40 8942 \n",
+ "41 9168 \n",
+ "42 9215 \n",
+ "43 9104 \n",
+ "44 9248 \n",
+ "45 9675 \n",
+ "46 9662 \n",
+ "47 9701 \n",
+ "48 9690 \n",
+ "49 9995 \n",
+ "50 10034 \n",
+ "51 10804 \n",
+ "52 7421 \n",
+ "53 7421 \n",
+ "\n",
+ " Total deaths: average of corresponding \\\n",
+ "Week number Total deaths: average of corresponding \n",
+ "1 NaN \n",
+ "2 NaN \n",
+ "3 NaN \n",
+ "4 NaN \n",
+ "5 NaN \n",
+ "6 NaN \n",
+ "7 NaN \n",
+ "8 NaN \n",
+ "9 NaN \n",
+ "10 NaN \n",
+ "11 NaN \n",
+ "12 NaN \n",
+ "13 NaN \n",
+ "14 NaN \n",
+ "15 NaN \n",
+ "16 NaN \n",
+ "17 NaN \n",
+ "18 NaN \n",
+ "19 NaN \n",
+ "20 NaN \n",
+ "21 NaN \n",
+ "22 NaN \n",
+ "23 NaN \n",
+ "24 NaN \n",
+ "25 NaN \n",
+ "26 NaN \n",
+ "27 NaN \n",
+ "28 NaN \n",
+ "29 NaN \n",
+ "30 NaN \n",
+ "31 NaN \n",
+ "32 NaN \n",
+ "33 NaN \n",
+ "34 NaN \n",
+ "35 NaN \n",
+ "36 NaN \n",
+ "37 NaN \n",
+ "38 NaN \n",
+ "39 NaN \n",
+ "40 NaN \n",
+ "41 NaN \n",
+ "42 NaN \n",
+ "43 NaN \n",
+ "44 NaN \n",
+ "45 NaN \n",
+ "46 NaN \n",
+ "47 NaN \n",
+ "48 NaN \n",
+ "49 NaN \n",
+ "50 NaN \n",
+ "51 NaN \n",
+ "52 NaN \n",
+ "53 NaN \n",
+ "\n",
+ " week over the previous 5 years 1, 10, 11 (Wales) ... North East \\\n",
+ "Week number week over the previous 5 years 1, 10, 11 (Wales) ... E12000001 \n",
+ "1 756 ... 673 \n",
+ "2 856 ... 707 \n",
+ "3 812 ... 647 \n",
+ "4 802 ... 612 \n",
+ "5 760 ... 561 \n",
+ "6 729 ... 564 \n",
+ "7 722 ... 573 \n",
+ "8 724 ... 539 \n",
+ "9 698 ... 572 \n",
+ "10 720 ... 568 \n",
+ "11 727 ... 590 \n",
+ "12 677 ... 522 \n",
+ "13 665 ... 542 \n",
+ "14 667 ... 770 \n",
+ "15 671 ... 849 \n",
+ "16 661 ... 1155 \n",
+ "17 662 ... 1103 \n",
+ "18 624 ... 922 \n",
+ "19 612 ... 769 \n",
+ "20 635 ... 845 \n",
+ "21 614 ... 718 \n",
+ "22 546 ... 550 \n",
+ "23 610 ... 576 \n",
+ "24 588 ... 478 \n",
+ "25 573 ... 498 \n",
+ "26 571 ... 485 \n",
+ "27 555 ... 515 \n",
+ "28 578 ... 468 \n",
+ "29 557 ... 445 \n",
+ "30 566 ... 493 \n",
+ "31 572 ... 507 \n",
+ "32 571 ... 486 \n",
+ "33 564 ... 520 \n",
+ "34 573 ... 479 \n",
+ "35 539 ... 455 \n",
+ "36 552 ... 431 \n",
+ "37 577 ... 502 \n",
+ "38 575 ... 465 \n",
+ "39 604 ... 514 \n",
+ "40 587 ... 558 \n",
+ "41 615 ... 544 \n",
+ "42 630 ... 606 \n",
+ "43 628 ... 600 \n",
+ "44 616 ... 591 \n",
+ "45 625 ... 675 \n",
+ "46 658 ... 711 \n",
+ "47 653 ... 691 \n",
+ "48 646 ... 679 \n",
+ "49 679 ... 645 \n",
+ "50 693 ... 661 \n",
+ "51 718 ... 689 \n",
+ "52 518 ... 669 \n",
+ "53 518 ... 547 \n",
+ "\n",
+ " North West Yorkshire and The Humber East Midlands West Midlands \\\n",
+ "Week number E12000002 E12000003 E12000004 E12000005 \n",
+ "1 1806 1240 1060 1349 \n",
+ "2 1932 1339 1195 1450 \n",
+ "3 1696 1278 1106 1407 \n",
+ "4 1529 1187 1024 1231 \n",
+ "5 1461 1136 1015 1262 \n",
+ "6 1529 1072 922 1052 \n",
+ "7 1427 1059 976 1159 \n",
+ "8 1477 1087 924 1116 \n",
+ "9 1476 1078 919 1174 \n",
+ "10 1490 1112 930 1098 \n",
+ "11 1472 1053 915 1187 \n",
+ "12 1443 1012 947 1115 \n",
+ "13 1538 982 922 1035 \n",
+ "14 2137 1436 1246 1812 \n",
+ "15 2597 1503 1452 2182 \n",
+ "16 3195 1960 1632 2536 \n",
+ "17 3109 2095 1711 2481 \n",
+ "18 2503 1844 1418 1975 \n",
+ "19 1790 1328 1094 1326 \n",
+ "20 1992 1589 1283 1502 \n",
+ "21 1636 1236 1041 1319 \n",
+ "22 1337 1046 863 970 \n",
+ "23 1478 1090 931 1172 \n",
+ "24 1374 980 967 1096 \n",
+ "25 1234 952 835 973 \n",
+ "26 1300 922 800 946 \n",
+ "27 1225 875 827 949 \n",
+ "28 1154 848 771 902 \n",
+ "29 1159 843 816 956 \n",
+ "30 1197 817 798 964 \n",
+ "31 1272 837 729 902 \n",
+ "32 1211 851 798 933 \n",
+ "33 1304 853 829 923 \n",
+ "34 1269 870 780 1028 \n",
+ "35 1148 922 724 945 \n",
+ "36 1057 780 640 770 \n",
+ "37 1229 952 867 1021 \n",
+ "38 1287 939 795 1051 \n",
+ "39 1271 965 825 1036 \n",
+ "40 1301 978 842 1045 \n",
+ "41 1367 1067 884 1053 \n",
+ "42 1553 1001 904 1154 \n",
+ "43 1714 1111 891 1124 \n",
+ "44 1754 1168 882 1102 \n",
+ "45 1900 1294 990 1186 \n",
+ "46 1950 1350 1099 1317 \n",
+ "47 1935 1441 1105 1385 \n",
+ "48 1791 1501 1218 1358 \n",
+ "49 1679 1403 1121 1340 \n",
+ "50 1691 1326 1199 1432 \n",
+ "51 1718 1380 1199 1385 \n",
+ "52 1463 1130 1097 1217 \n",
+ "53 1346 886 842 1024 \n",
+ "\n",
+ " East London South East South West Wales \n",
+ "Week number E12000006 E12000007 E12000008 E12000009 W92000004 \n",
+ "1 1162 1113 1814 1225 787 \n",
+ "2 1573 1272 2132 1487 939 \n",
+ "3 1457 1073 2064 1466 767 \n",
+ "4 1410 1028 1833 1253 723 \n",
+ "5 1286 1092 1820 1233 727 \n",
+ "6 1259 987 1729 1157 690 \n",
+ "7 1172 967 1688 1169 728 \n",
+ "8 1167 1032 1675 1118 679 \n",
+ "9 1115 1085 1587 1133 651 \n",
+ "10 1149 982 1726 1170 652 \n",
+ "11 1211 964 1751 1174 675 \n",
+ "12 1043 1008 1657 1156 719 \n",
+ "13 1182 1297 1822 1092 719 \n",
+ "14 1717 2511 2294 1520 920 \n",
+ "15 1984 2832 2604 1560 928 \n",
+ "16 2466 3275 3084 1854 1169 \n",
+ "17 2299 2785 3334 1924 1124 \n",
+ "18 1982 1953 2853 1554 929 \n",
+ "19 1321 1213 1887 1218 692 \n",
+ "20 1543 1329 2251 1449 772 \n",
+ "21 1397 1125 1937 1177 692 \n",
+ "22 1095 841 1515 1011 587 \n",
+ "23 1131 891 1610 1116 700 \n",
+ "24 1048 883 1530 1035 574 \n",
+ "25 927 896 1411 990 617 \n",
+ "26 880 791 1311 979 552 \n",
+ "27 922 837 1454 938 584 \n",
+ "28 999 803 1228 930 572 \n",
+ "29 945 806 1339 953 550 \n",
+ "30 951 816 1340 941 565 \n",
+ "31 949 773 1447 988 531 \n",
+ "32 955 832 1370 929 563 \n",
+ "33 1006 928 1395 1009 617 \n",
+ "34 1024 920 1608 1043 594 \n",
+ "35 951 810 1511 959 591 \n",
+ "36 806 737 1208 803 488 \n",
+ "37 1052 898 1610 1084 578 \n",
+ "38 1023 844 1530 1021 555 \n",
+ "39 963 869 1521 1041 617 \n",
+ "40 1054 899 1577 1003 671 \n",
+ "41 1019 902 1462 1010 638 \n",
+ "42 1056 923 1462 1174 688 \n",
+ "43 1154 922 1510 1044 661 \n",
+ "44 1089 888 1563 1129 712 \n",
+ "45 1177 952 1614 1174 832 \n",
+ "46 1172 1112 1616 1168 742 \n",
+ "47 1186 1086 1687 1159 848 \n",
+ "48 1159 1012 1655 1272 797 \n",
+ "49 1229 1029 1720 1284 836 \n",
+ "50 1224 1065 1706 1156 814 \n",
+ "51 1317 1167 1947 1311 882 \n",
+ "52 1198 1090 1701 1115 825 \n",
+ "53 997 1159 1595 929 727 \n",
+ "\n",
+ "[54 rows x 91 columns]"
+ ]
+ },
+ "execution_count": 435,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "eng_xls"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 436,
+ "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>week</th>\n",
+ " <th>date_up_to</th>\n",
+ " <th>deaths</th>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>2020-01-03 00:00:00</td>\n",
+ " <td>787</td>\n",
+ " <td>2020</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
+ " <td>2020-01-10 00:00:00</td>\n",
+ " <td>939</td>\n",
+ " <td>2020</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3</td>\n",
+ " <td>2020-01-17 00:00:00</td>\n",
+ " <td>767</td>\n",
+ " <td>2020</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4</td>\n",
+ " <td>2020-01-24 00:00:00</td>\n",
+ " <td>723</td>\n",
+ " <td>2020</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5</td>\n",
+ " <td>2020-01-31 00:00:00</td>\n",
+ " <td>727</td>\n",
+ " <td>2020</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " week date_up_to deaths year nation\n",
+ "0 1 2020-01-03 00:00:00 787 2020 Wales\n",
+ "1 2 2020-01-10 00:00:00 939 2020 Wales\n",
+ "2 3 2020-01-17 00:00:00 767 2020 Wales\n",
+ "3 4 2020-01-24 00:00:00 723 2020 Wales\n",
+ "4 5 2020-01-31 00:00:00 727 2020 Wales"
+ ]
+ },
+ "execution_count": 436,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rd = eng_xls.iloc[1:][['Week ended', 'Wales']].reset_index(level=0).rename(\n",
+ " columns={'Week ended': 'date_up_to', 'Wales': 'deaths',\n",
+ " 'index': 'week'}\n",
+ " )\n",
+ "rd['year'] = 2020\n",
+ "rd['nation'] = 'Wales'\n",
+ "rd.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 437,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "rd.to_sql(\n",
+ " 'all_causes_deaths',\n",
+ " conn,\n",
+ " if_exists='append',\n",
+ " index=False)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 438,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "<ipython-input-438-7dd1e0e9987b>:2: SettingWithCopyWarning: \n",
+ "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+ "Try using .loc[row_indexer,col_indexer] = value instead\n",
+ "\n",
+ "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+ " eng_xls['England deaths'] = eng_xls.loc[:, 'Total deaths, all ages'] - eng_xls.loc[:, 'Wales']\n"
+ ]
+ }
+ ],
+ "source": [
+ "eng_xls = eng_xls.iloc[1:]\n",
+ "eng_xls['England deaths'] = eng_xls.loc[:, 'Total deaths, all ages'] - eng_xls.loc[:, 'Wales']"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 439,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
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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>Week ended</th>\n",
+ " <th>NaN</th>\n",
+ " <th>NaN</th>\n",
+ " <th>Total deaths, all ages</th>\n",
+ " <th>Total deaths: average of corresponding</th>\n",
+ " <th>week over the previous 5 years 1, 10, 11 (England and Wales)</th>\n",
+ " <th>Total deaths: average of corresponding</th>\n",
+ " <th>week over the previous 5 years 1, 10, 11 (England)</th>\n",
+ " <th>Total deaths: average of corresponding</th>\n",
+ " <th>week over the previous 5 years 1, 10, 11 (Wales)</th>\n",
+ " <th>...</th>\n",
+ " <th>North West</th>\n",
+ " <th>Yorkshire and The Humber</th>\n",
+ " <th>East Midlands</th>\n",
+ " <th>West Midlands</th>\n",
+ " <th>East</th>\n",
+ " <th>London</th>\n",
+ " <th>South East</th>\n",
+ " <th>South West</th>\n",
+ " <th>Wales</th>\n",
+ " <th>England deaths</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2020-01-03 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12254</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12175</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11412</td>\n",
+ " <td>NaN</td>\n",
+ " <td>756</td>\n",
+ " <td>...</td>\n",
+ " <td>1806</td>\n",
+ " <td>1240</td>\n",
+ " <td>1060</td>\n",
+ " <td>1349</td>\n",
+ " <td>1162</td>\n",
+ " <td>1113</td>\n",
+ " <td>1814</td>\n",
+ " <td>1225</td>\n",
+ " <td>787</td>\n",
+ " <td>11467</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>2020-01-10 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>14058</td>\n",
+ " <td>NaN</td>\n",
+ " <td>13822</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12933</td>\n",
+ " <td>NaN</td>\n",
+ " <td>856</td>\n",
+ " <td>...</td>\n",
+ " <td>1932</td>\n",
+ " <td>1339</td>\n",
+ " <td>1195</td>\n",
+ " <td>1450</td>\n",
+ " <td>1573</td>\n",
+ " <td>1272</td>\n",
+ " <td>2132</td>\n",
+ " <td>1487</td>\n",
+ " <td>939</td>\n",
+ " <td>13119</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>2020-01-17 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12990</td>\n",
+ " <td>NaN</td>\n",
+ " <td>13216</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12370</td>\n",
+ " <td>NaN</td>\n",
+ " <td>812</td>\n",
+ " <td>...</td>\n",
+ " <td>1696</td>\n",
+ " <td>1278</td>\n",
+ " <td>1106</td>\n",
+ " <td>1407</td>\n",
+ " <td>1457</td>\n",
+ " <td>1073</td>\n",
+ " <td>2064</td>\n",
+ " <td>1466</td>\n",
+ " <td>767</td>\n",
+ " <td>12223</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>2020-01-24 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11856</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12760</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11933</td>\n",
+ " <td>NaN</td>\n",
+ " <td>802</td>\n",
+ " <td>...</td>\n",
+ " <td>1529</td>\n",
+ " <td>1187</td>\n",
+ " <td>1024</td>\n",
+ " <td>1231</td>\n",
+ " <td>1410</td>\n",
+ " <td>1028</td>\n",
+ " <td>1833</td>\n",
+ " <td>1253</td>\n",
+ " <td>723</td>\n",
+ " <td>11133</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5</th>\n",
+ " <td>2020-01-31 00:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11612</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12206</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11419</td>\n",
+ " <td>NaN</td>\n",
+ " <td>760</td>\n",
+ " <td>...</td>\n",
+ " <td>1461</td>\n",
+ " <td>1136</td>\n",
+ " <td>1015</td>\n",
+ " <td>1262</td>\n",
+ " <td>1286</td>\n",
+ " <td>1092</td>\n",
+ " <td>1820</td>\n",
+ " <td>1233</td>\n",
+ " <td>727</td>\n",
+ " <td>10885</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>5 rows × 92 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " Week ended NaN NaN Total deaths, all ages \\\n",
+ "1 2020-01-03 00:00:00 NaN NaN 12254 \n",
+ "2 2020-01-10 00:00:00 NaN NaN 14058 \n",
+ "3 2020-01-17 00:00:00 NaN NaN 12990 \n",
+ "4 2020-01-24 00:00:00 NaN NaN 11856 \n",
+ "5 2020-01-31 00:00:00 NaN NaN 11612 \n",
+ "\n",
+ " Total deaths: average of corresponding \\\n",
+ "1 NaN \n",
+ "2 NaN \n",
+ "3 NaN \n",
+ "4 NaN \n",
+ "5 NaN \n",
+ "\n",
+ " week over the previous 5 years 1, 10, 11 (England and Wales) \\\n",
+ "1 12175 \n",
+ "2 13822 \n",
+ "3 13216 \n",
+ "4 12760 \n",
+ "5 12206 \n",
+ "\n",
+ " Total deaths: average of corresponding \\\n",
+ "1 NaN \n",
+ "2 NaN \n",
+ "3 NaN \n",
+ "4 NaN \n",
+ "5 NaN \n",
+ "\n",
+ " week over the previous 5 years 1, 10, 11 (England) \\\n",
+ "1 11412 \n",
+ "2 12933 \n",
+ "3 12370 \n",
+ "4 11933 \n",
+ "5 11419 \n",
+ "\n",
+ " Total deaths: average of corresponding \\\n",
+ "1 NaN \n",
+ "2 NaN \n",
+ "3 NaN \n",
+ "4 NaN \n",
+ "5 NaN \n",
+ "\n",
+ " week over the previous 5 years 1, 10, 11 (Wales) ... North West \\\n",
+ "1 756 ... 1806 \n",
+ "2 856 ... 1932 \n",
+ "3 812 ... 1696 \n",
+ "4 802 ... 1529 \n",
+ "5 760 ... 1461 \n",
+ "\n",
+ " Yorkshire and The Humber East Midlands West Midlands East London \\\n",
+ "1 1240 1060 1349 1162 1113 \n",
+ "2 1339 1195 1450 1573 1272 \n",
+ "3 1278 1106 1407 1457 1073 \n",
+ "4 1187 1024 1231 1410 1028 \n",
+ "5 1136 1015 1262 1286 1092 \n",
+ "\n",
+ " South East South West Wales England deaths \n",
+ "1 1814 1225 787 11467 \n",
+ "2 2132 1487 939 13119 \n",
+ "3 2064 1466 767 12223 \n",
+ "4 1833 1253 723 11133 \n",
+ "5 1820 1233 727 10885 \n",
+ "\n",
+ "[5 rows x 92 columns]"
+ ]
+ },
+ "execution_count": 439,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "eng_xls.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 440,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
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+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>week</th>\n",
+ " <th>date_up_to</th>\n",
+ " <th>deaths</th>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
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+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>2020-01-03 00:00:00</td>\n",
+ " <td>11467</td>\n",
+ " <td>2020</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
+ " <td>2020-01-10 00:00:00</td>\n",
+ " <td>13119</td>\n",
+ " <td>2020</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3</td>\n",
+ " <td>2020-01-17 00:00:00</td>\n",
+ " <td>12223</td>\n",
+ " <td>2020</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4</td>\n",
+ " <td>2020-01-24 00:00:00</td>\n",
+ " <td>11133</td>\n",
+ " <td>2020</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5</td>\n",
+ " <td>2020-01-31 00:00:00</td>\n",
+ " <td>10885</td>\n",
+ " <td>2020</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " week date_up_to deaths year nation\n",
+ "0 1 2020-01-03 00:00:00 11467 2020 England\n",
+ "1 2 2020-01-10 00:00:00 13119 2020 England\n",
+ "2 3 2020-01-17 00:00:00 12223 2020 England\n",
+ "3 4 2020-01-24 00:00:00 11133 2020 England\n",
+ "4 5 2020-01-31 00:00:00 10885 2020 England"
+ ]
+ },
+ "execution_count": 440,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rd = eng_xls[['Week ended', 'England deaths']].reset_index(level=0).rename(\n",
+ " columns={'Week ended': 'date_up_to', 'England deaths': 'deaths',\n",
+ " 'index': 'week'}\n",
+ " )\n",
+ "rd['year'] = 2020\n",
+ "rd['nation'] = 'England'\n",
+ "rd.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 441,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " * postgresql://covid:***@localhost/covid\n",
+ "0 rows affected.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "[]"
+ ]
+ },
+ "execution_count": 441,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "%sql delete from all_causes_deaths where nation = 'England'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 442,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "rd.to_sql(\n",
+ " 'all_causes_deaths',\n",
+ " conn,\n",
+ " if_exists='append',\n",
+ " index=False)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 443,
+ "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>week</th>\n",
+ " <th>date_up_to</th>\n",
+ " <th>deaths</th>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>48</th>\n",
+ " <td>49</td>\n",
+ " <td>2020-12-04 00:00:00</td>\n",
+ " <td>11467</td>\n",
+ " <td>2020</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>49</th>\n",
+ " <td>50</td>\n",
+ " <td>2020-12-11 00:00:00</td>\n",
+ " <td>11478</td>\n",
+ " <td>2020</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50</th>\n",
+ " <td>51</td>\n",
+ " <td>2020-12-18 00:00:00</td>\n",
+ " <td>12129</td>\n",
+ " <td>2020</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>51</th>\n",
+ " <td>52</td>\n",
+ " <td>2020-12-25 00:00:00</td>\n",
+ " <td>10695</td>\n",
+ " <td>2020</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>52</th>\n",
+ " <td>53</td>\n",
+ " <td>2021-01-01 00:00:00</td>\n",
+ " <td>9342</td>\n",
+ " <td>2020</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " week date_up_to deaths year nation\n",
+ "48 49 2020-12-04 00:00:00 11467 2020 England\n",
+ "49 50 2020-12-11 00:00:00 11478 2020 England\n",
+ "50 51 2020-12-18 00:00:00 12129 2020 England\n",
+ "51 52 2020-12-25 00:00:00 10695 2020 England\n",
+ "52 53 2021-01-01 00:00:00 9342 2020 England"
+ ]
+ },
+ "execution_count": 443,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rd.tail()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 444,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " * postgresql://covid:***@localhost/covid\n",
+ "14 rows affected.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<table>\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " <th>count</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>England</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2015</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2016</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2017</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2015</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2016</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2017</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>Wales</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>"
+ ],
+ "text/plain": [
+ "[(2020, 'England', 53),\n",
+ " (2015, 'Northern Ireland', 53),\n",
+ " (2016, 'Northern Ireland', 52),\n",
+ " (2017, 'Northern Ireland', 52),\n",
+ " (2018, 'Northern Ireland', 52),\n",
+ " (2019, 'Northern Ireland', 52),\n",
+ " (2020, 'Northern Ireland', 53),\n",
+ " (2015, 'Scotland', 53),\n",
+ " (2016, 'Scotland', 52),\n",
+ " (2017, 'Scotland', 52),\n",
+ " (2018, 'Scotland', 52),\n",
+ " (2019, 'Scotland', 52),\n",
+ " (2020, 'Scotland', 53),\n",
+ " (2020, 'Wales', 53)]"
+ ]
+ },
+ "execution_count": 444,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 445,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "# raw_data_2020 = pd.read_csv('uk-deaths-data/publishedweek272020.csv', \n",
+ "# parse_dates=[1], dayfirst=True,\n",
+ "# index_col=0,\n",
+ "# header=[0, 1])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 446,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "# raw_data_2020.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 447,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "# raw_data_2020['W92000004', 'Wales']"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 448,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "raw_data_2019 = pd.read_csv('uk-deaths-data/publishedweek522019.csv', \n",
+ " parse_dates=[1], dayfirst=True,\n",
+ "# index_col=0,\n",
+ " header=[0, 1])\n",
+ "# raw_data_2019.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 449,
+ "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>Week number</th>\n",
+ " <th>Week ended</th>\n",
+ " <th>Total deaths, all ages</th>\n",
+ " <th>W92000004</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>2019-01-04</td>\n",
+ " <td>10955</td>\n",
+ " <td>718</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
+ " <td>2019-01-11</td>\n",
+ " <td>12609</td>\n",
+ " <td>809</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3</td>\n",
+ " <td>2019-01-18</td>\n",
+ " <td>11860</td>\n",
+ " <td>683</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4</td>\n",
+ " <td>2019-01-25</td>\n",
+ " <td>11740</td>\n",
+ " <td>734</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5</td>\n",
+ " <td>2019-02-01</td>\n",
+ " <td>11297</td>\n",
+ " <td>745</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " Week number Week ended Total deaths, all ages W92000004\n",
+ "0 1 2019-01-04 10955 718\n",
+ "1 2 2019-01-11 12609 809\n",
+ "2 3 2019-01-18 11860 683\n",
+ "3 4 2019-01-25 11740 734\n",
+ "4 5 2019-02-01 11297 745"
+ ]
+ },
+ "execution_count": 449,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rdew = raw_data_2019.iloc[:, [0, 1, 2, -1]].droplevel(axis=1, level=1)\n",
+ "rdew.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 450,
+ "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>week</th>\n",
+ " <th>date_up_to</th>\n",
+ " <th>deaths</th>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>2019-01-04</td>\n",
+ " <td>718</td>\n",
+ " <td>2019</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
+ " <td>2019-01-11</td>\n",
+ " <td>809</td>\n",
+ " <td>2019</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3</td>\n",
+ " <td>2019-01-18</td>\n",
+ " <td>683</td>\n",
+ " <td>2019</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4</td>\n",
+ " <td>2019-01-25</td>\n",
+ " <td>734</td>\n",
+ " <td>2019</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5</td>\n",
+ " <td>2019-02-01</td>\n",
+ " <td>745</td>\n",
+ " <td>2019</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " week date_up_to deaths year nation\n",
+ "0 1 2019-01-04 718 2019 Wales\n",
+ "1 2 2019-01-11 809 2019 Wales\n",
+ "2 3 2019-01-18 683 2019 Wales\n",
+ "3 4 2019-01-25 734 2019 Wales\n",
+ "4 5 2019-02-01 745 2019 Wales"
+ ]
+ },
+ "execution_count": 450,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rd = rdew.drop(columns=['Total deaths, all ages']).rename(\n",
+ " columns={'Week ended': 'date_up_to', 'W92000004': 'deaths',\n",
+ " 'Week number': 'week'}\n",
+ " )\n",
+ "rd['year'] = 2019\n",
+ "rd['nation'] = 'Wales'\n",
+ "rd.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 451,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "rd.to_sql(\n",
+ " 'all_causes_deaths',\n",
+ " conn,\n",
+ " if_exists='append',\n",
+ " index=False)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 452,
+ "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>date_up_to</th>\n",
+ " <th>week</th>\n",
+ " <th>deaths</th>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>2019-01-04</td>\n",
+ " <td>1</td>\n",
+ " <td>10237</td>\n",
+ " <td>2019</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2019-01-11</td>\n",
+ " <td>2</td>\n",
+ " <td>11800</td>\n",
+ " <td>2019</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>2019-01-18</td>\n",
+ " <td>3</td>\n",
+ " <td>11177</td>\n",
+ " <td>2019</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>2019-01-25</td>\n",
+ " <td>4</td>\n",
+ " <td>11006</td>\n",
+ " <td>2019</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>2019-02-01</td>\n",
+ " <td>5</td>\n",
+ " <td>10552</td>\n",
+ " <td>2019</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " date_up_to week deaths year nation\n",
+ "0 2019-01-04 1 10237 2019 England\n",
+ "1 2019-01-11 2 11800 2019 England\n",
+ "2 2019-01-18 3 11177 2019 England\n",
+ "3 2019-01-25 4 11006 2019 England\n",
+ "4 2019-02-01 5 10552 2019 England"
+ ]
+ },
+ "execution_count": 452,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rd = rdew.loc[:, ['Week ended','Week number']]\n",
+ "rd['deaths'] = rdew['Total deaths, all ages'] - rdew['W92000004']\n",
+ "rd = rd.rename(\n",
+ " columns={'Week ended': 'date_up_to', 'Week number': 'week'}\n",
+ " )\n",
+ "rd['year'] = 2019\n",
+ "rd['nation'] = 'England'\n",
+ "rd.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 453,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "rd.to_sql(\n",
+ " 'all_causes_deaths',\n",
+ " conn,\n",
+ " if_exists='append',\n",
+ " index=False)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 454,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " * postgresql://covid:***@localhost/covid\n",
+ "16 rows affected.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<table>\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " <th>count</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>England</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>England</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2015</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2016</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2017</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2015</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2016</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2017</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>Wales</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>Wales</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>"
+ ],
+ "text/plain": [
+ "[(2019, 'England', 52),\n",
+ " (2020, 'England', 53),\n",
+ " (2015, 'Northern Ireland', 53),\n",
+ " (2016, 'Northern Ireland', 52),\n",
+ " (2017, 'Northern Ireland', 52),\n",
+ " (2018, 'Northern Ireland', 52),\n",
+ " (2019, 'Northern Ireland', 52),\n",
+ " (2020, 'Northern Ireland', 53),\n",
+ " (2015, 'Scotland', 53),\n",
+ " (2016, 'Scotland', 52),\n",
+ " (2017, 'Scotland', 52),\n",
+ " (2018, 'Scotland', 52),\n",
+ " (2019, 'Scotland', 52),\n",
+ " (2020, 'Scotland', 53),\n",
+ " (2019, 'Wales', 52),\n",
+ " (2020, 'Wales', 53)]"
+ ]
+ },
+ "execution_count": 454,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 455,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "raw_data_2018 = pd.read_csv('uk-deaths-data/publishedweek522018.csv', \n",
+ " parse_dates=[1], dayfirst=True,\n",
+ "# index_col=0,\n",
+ " header=[0, 1])\n",
+ "# raw_data_2018.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 456,
+ "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>Week number</th>\n",
+ " <th>Week ended</th>\n",
+ " <th>Total deaths, all ages</th>\n",
+ " <th>W92000004</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>2018-01-05</td>\n",
+ " <td>12723</td>\n",
+ " <td>783</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
+ " <td>2018-01-12</td>\n",
+ " <td>15050</td>\n",
+ " <td>904</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3</td>\n",
+ " <td>2018-01-19</td>\n",
+ " <td>14256</td>\n",
+ " <td>885</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4</td>\n",
+ " <td>2018-01-26</td>\n",
+ " <td>13935</td>\n",
+ " <td>850</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5</td>\n",
+ " <td>2018-02-02</td>\n",
+ " <td>13285</td>\n",
+ " <td>815</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " Week number Week ended Total deaths, all ages W92000004\n",
+ "0 1 2018-01-05 12723 783\n",
+ "1 2 2018-01-12 15050 904\n",
+ "2 3 2018-01-19 14256 885\n",
+ "3 4 2018-01-26 13935 850\n",
+ "4 5 2018-02-02 13285 815"
+ ]
+ },
+ "execution_count": 456,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rdew = raw_data_2018.iloc[:, [0, 1, 2, -1]].droplevel(axis=1, level=1)\n",
+ "rdew.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 457,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
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+ " .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>week</th>\n",
+ " <th>date_up_to</th>\n",
+ " <th>deaths</th>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>2018-01-05</td>\n",
+ " <td>783</td>\n",
+ " <td>2018</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
+ " <td>2018-01-12</td>\n",
+ " <td>904</td>\n",
+ " <td>2018</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3</td>\n",
+ " <td>2018-01-19</td>\n",
+ " <td>885</td>\n",
+ " <td>2018</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4</td>\n",
+ " <td>2018-01-26</td>\n",
+ " <td>850</td>\n",
+ " <td>2018</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5</td>\n",
+ " <td>2018-02-02</td>\n",
+ " <td>815</td>\n",
+ " <td>2018</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " week date_up_to deaths year nation\n",
+ "0 1 2018-01-05 783 2018 Wales\n",
+ "1 2 2018-01-12 904 2018 Wales\n",
+ "2 3 2018-01-19 885 2018 Wales\n",
+ "3 4 2018-01-26 850 2018 Wales\n",
+ "4 5 2018-02-02 815 2018 Wales"
+ ]
+ },
+ "execution_count": 457,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rd = rdew.drop(columns=['Total deaths, all ages']).rename(\n",
+ " columns={'Week ended': 'date_up_to', 'W92000004': 'deaths',\n",
+ " 'Week number': 'week'}\n",
+ " )\n",
+ "rd['year'] = 2018\n",
+ "rd['nation'] = 'Wales'\n",
+ "rd.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 458,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "rd.to_sql(\n",
+ " 'all_causes_deaths',\n",
+ " conn,\n",
+ " if_exists='append',\n",
+ " index=False)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 459,
+ "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>date_up_to</th>\n",
+ " <th>week</th>\n",
+ " <th>deaths</th>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>2018-01-05</td>\n",
+ " <td>1</td>\n",
+ " <td>11940</td>\n",
+ " <td>2018</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2018-01-12</td>\n",
+ " <td>2</td>\n",
+ " <td>14146</td>\n",
+ " <td>2018</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>2018-01-19</td>\n",
+ " <td>3</td>\n",
+ " <td>13371</td>\n",
+ " <td>2018</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>2018-01-26</td>\n",
+ " <td>4</td>\n",
+ " <td>13085</td>\n",
+ " <td>2018</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>2018-02-02</td>\n",
+ " <td>5</td>\n",
+ " <td>12470</td>\n",
+ " <td>2018</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " date_up_to week deaths year nation\n",
+ "0 2018-01-05 1 11940 2018 England\n",
+ "1 2018-01-12 2 14146 2018 England\n",
+ "2 2018-01-19 3 13371 2018 England\n",
+ "3 2018-01-26 4 13085 2018 England\n",
+ "4 2018-02-02 5 12470 2018 England"
+ ]
+ },
+ "execution_count": 459,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rd = rdew.loc[:, ['Week ended','Week number']]\n",
+ "rd['deaths'] = rdew['Total deaths, all ages'] - rdew['W92000004']\n",
+ "rd = rd.rename(\n",
+ " columns={'Week ended': 'date_up_to', 'Week number': 'week'}\n",
+ " )\n",
+ "rd['year'] = 2018\n",
+ "rd['nation'] = 'England'\n",
+ "rd.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 460,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "rd.to_sql(\n",
+ " 'all_causes_deaths',\n",
+ " conn,\n",
+ " if_exists='append',\n",
+ " index=False)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 461,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " * postgresql://covid:***@localhost/covid\n",
+ "18 rows affected.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<table>\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " <th>count</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>England</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>England</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>England</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2015</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2016</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2017</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2015</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2016</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2017</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>Wales</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>Wales</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>Wales</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>"
+ ],
+ "text/plain": [
+ "[(2018, 'England', 52),\n",
+ " (2019, 'England', 52),\n",
+ " (2020, 'England', 53),\n",
+ " (2015, 'Northern Ireland', 53),\n",
+ " (2016, 'Northern Ireland', 52),\n",
+ " (2017, 'Northern Ireland', 52),\n",
+ " (2018, 'Northern Ireland', 52),\n",
+ " (2019, 'Northern Ireland', 52),\n",
+ " (2020, 'Northern Ireland', 53),\n",
+ " (2015, 'Scotland', 53),\n",
+ " (2016, 'Scotland', 52),\n",
+ " (2017, 'Scotland', 52),\n",
+ " (2018, 'Scotland', 52),\n",
+ " (2019, 'Scotland', 52),\n",
+ " (2020, 'Scotland', 53),\n",
+ " (2018, 'Wales', 52),\n",
+ " (2019, 'Wales', 52),\n",
+ " (2020, 'Wales', 53)]"
+ ]
+ },
+ "execution_count": 461,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 462,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "raw_data_2017 = pd.read_csv('uk-deaths-data/publishedweek522017.csv', \n",
+ " parse_dates=[1], dayfirst=True,\n",
+ "# index_col=0,\n",
+ " header=[0, 1])\n",
+ "# raw_data_2017.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 463,
+ "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>Week number</th>\n",
+ " <th>Week ended</th>\n",
+ " <th>Total deaths, all ages</th>\n",
+ " <th>W92000004</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>2017-01-06</td>\n",
+ " <td>11991</td>\n",
+ " <td>744</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
+ " <td>2017-01-13</td>\n",
+ " <td>13715</td>\n",
+ " <td>825</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3</td>\n",
+ " <td>2017-01-20</td>\n",
+ " <td>13610</td>\n",
+ " <td>835</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4</td>\n",
+ " <td>2017-01-27</td>\n",
+ " <td>12877</td>\n",
+ " <td>881</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5</td>\n",
+ " <td>2017-02-03</td>\n",
+ " <td>12485</td>\n",
+ " <td>749</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " Week number Week ended Total deaths, all ages W92000004\n",
+ "0 1 2017-01-06 11991 744\n",
+ "1 2 2017-01-13 13715 825\n",
+ "2 3 2017-01-20 13610 835\n",
+ "3 4 2017-01-27 12877 881\n",
+ "4 5 2017-02-03 12485 749"
+ ]
+ },
+ "execution_count": 463,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rdew = raw_data_2017.iloc[:, [0, 1, 2, -1]].droplevel(axis=1, level=1)\n",
+ "rdew.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 464,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
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+ " .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>week</th>\n",
+ " <th>date_up_to</th>\n",
+ " <th>deaths</th>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>2017-01-06</td>\n",
+ " <td>744</td>\n",
+ " <td>2017</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
+ " <td>2017-01-13</td>\n",
+ " <td>825</td>\n",
+ " <td>2017</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3</td>\n",
+ " <td>2017-01-20</td>\n",
+ " <td>835</td>\n",
+ " <td>2017</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4</td>\n",
+ " <td>2017-01-27</td>\n",
+ " <td>881</td>\n",
+ " <td>2017</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5</td>\n",
+ " <td>2017-02-03</td>\n",
+ " <td>749</td>\n",
+ " <td>2017</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " week date_up_to deaths year nation\n",
+ "0 1 2017-01-06 744 2017 Wales\n",
+ "1 2 2017-01-13 825 2017 Wales\n",
+ "2 3 2017-01-20 835 2017 Wales\n",
+ "3 4 2017-01-27 881 2017 Wales\n",
+ "4 5 2017-02-03 749 2017 Wales"
+ ]
+ },
+ "execution_count": 464,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rd = rdew.drop(columns=['Total deaths, all ages']).rename(\n",
+ " columns={'Week ended': 'date_up_to', 'W92000004': 'deaths',\n",
+ " 'Week number': 'week'}\n",
+ " )\n",
+ "rd['year'] = 2017\n",
+ "rd['nation'] = 'Wales'\n",
+ "rd.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 465,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "rd.to_sql(\n",
+ " 'all_causes_deaths',\n",
+ " conn,\n",
+ " if_exists='append',\n",
+ " index=False)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 466,
+ "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>date_up_to</th>\n",
+ " <th>week</th>\n",
+ " <th>deaths</th>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>2017-01-06</td>\n",
+ " <td>1</td>\n",
+ " <td>11247</td>\n",
+ " <td>2017</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2017-01-13</td>\n",
+ " <td>2</td>\n",
+ " <td>12890</td>\n",
+ " <td>2017</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>2017-01-20</td>\n",
+ " <td>3</td>\n",
+ " <td>12775</td>\n",
+ " <td>2017</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>2017-01-27</td>\n",
+ " <td>4</td>\n",
+ " <td>11996</td>\n",
+ " <td>2017</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>2017-02-03</td>\n",
+ " <td>5</td>\n",
+ " <td>11736</td>\n",
+ " <td>2017</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " date_up_to week deaths year nation\n",
+ "0 2017-01-06 1 11247 2017 England\n",
+ "1 2017-01-13 2 12890 2017 England\n",
+ "2 2017-01-20 3 12775 2017 England\n",
+ "3 2017-01-27 4 11996 2017 England\n",
+ "4 2017-02-03 5 11736 2017 England"
+ ]
+ },
+ "execution_count": 466,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rd = rdew.loc[:, ['Week ended','Week number']]\n",
+ "rd['deaths'] = rdew['Total deaths, all ages'] - rdew['W92000004']\n",
+ "rd = rd.rename(\n",
+ " columns={'Week ended': 'date_up_to', 'Week number': 'week'}\n",
+ " )\n",
+ "rd['year'] = 2017\n",
+ "rd['nation'] = 'England'\n",
+ "rd.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 467,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "rd.to_sql(\n",
+ " 'all_causes_deaths',\n",
+ " conn,\n",
+ " if_exists='append',\n",
+ " index=False)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 468,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " * postgresql://covid:***@localhost/covid\n",
+ "20 rows affected.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<table>\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " <th>count</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <td>2017</td>\n",
+ " <td>England</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>England</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>England</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>England</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2015</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2016</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2017</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2015</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2016</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2017</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2017</td>\n",
+ " <td>Wales</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>Wales</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>Wales</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>Wales</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>"
+ ],
+ "text/plain": [
+ "[(2017, 'England', 52),\n",
+ " (2018, 'England', 52),\n",
+ " (2019, 'England', 52),\n",
+ " (2020, 'England', 53),\n",
+ " (2015, 'Northern Ireland', 53),\n",
+ " (2016, 'Northern Ireland', 52),\n",
+ " (2017, 'Northern Ireland', 52),\n",
+ " (2018, 'Northern Ireland', 52),\n",
+ " (2019, 'Northern Ireland', 52),\n",
+ " (2020, 'Northern Ireland', 53),\n",
+ " (2015, 'Scotland', 53),\n",
+ " (2016, 'Scotland', 52),\n",
+ " (2017, 'Scotland', 52),\n",
+ " (2018, 'Scotland', 52),\n",
+ " (2019, 'Scotland', 52),\n",
+ " (2020, 'Scotland', 53),\n",
+ " (2017, 'Wales', 52),\n",
+ " (2018, 'Wales', 52),\n",
+ " (2019, 'Wales', 52),\n",
+ " (2020, 'Wales', 53)]"
+ ]
+ },
+ "execution_count": 468,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 469,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "raw_data_2016 = pd.read_csv('uk-deaths-data/publishedweek522016.csv', \n",
+ " parse_dates=[1], dayfirst=True,\n",
+ "# index_col=0,\n",
+ " header=[0, 1])\n",
+ "# raw_data_2016.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 470,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead tr th {\n",
+ " text-align: left;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th></th>\n",
+ " <th>Week number</th>\n",
+ " <th>Week ended</th>\n",
+ " <th>Total deaths, all ages</th>\n",
+ " <th>Total deaths: average of corresponding</th>\n",
+ " <th>Unnamed: 4_level_0</th>\n",
+ " <th>Unnamed: 5_level_0</th>\n",
+ " <th>Persons</th>\n",
+ " <th>Unnamed: 7_level_0</th>\n",
+ " <th>Unnamed: 8_level_0</th>\n",
+ " <th>Unnamed: 9_level_0</th>\n",
+ " <th>...</th>\n",
+ " <th>E12000001</th>\n",
+ " <th>E12000002</th>\n",
+ " <th>E12000003</th>\n",
+ " <th>E12000004</th>\n",
+ " <th>E12000005</th>\n",
+ " <th>E12000006</th>\n",
+ " <th>E12000007</th>\n",
+ " <th>E12000008</th>\n",
+ " <th>E12000009</th>\n",
+ " <th>W92000004</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th></th>\n",
+ " <th>Unnamed: 0_level_1</th>\n",
+ " <th>Unnamed: 1_level_1</th>\n",
+ " <th>Unnamed: 2_level_1</th>\n",
+ " <th>Unnamed: 3_level_1</th>\n",
+ " <th>Deaths by underlying cause</th>\n",
+ " <th>All respiratory diseases (ICD-10 J00-J99)\\nICD-10 v 2013 (IRIS)</th>\n",
+ " <th>Deaths by age group</th>\n",
+ " <th>Under 1 year</th>\n",
+ " <th>01-14</th>\n",
+ " <th>15-44</th>\n",
+ " <th>...</th>\n",
+ " <th>North East</th>\n",
+ " <th>North West</th>\n",
+ " <th>Yorkshire and The Humber</th>\n",
+ " <th>East Midlands</th>\n",
+ " <th>West Midlands</th>\n",
+ " <th>East</th>\n",
+ " <th>London</th>\n",
+ " <th>South East</th>\n",
+ " <th>South West</th>\n",
+ " <th>Wales</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>2016-01-08</td>\n",
+ " <td>13045</td>\n",
+ " <td>11701.4</td>\n",
+ " <td>NaN</td>\n",
+ " <td>2046</td>\n",
+ " <td>NaN</td>\n",
+ " <td>49</td>\n",
+ " <td>17</td>\n",
+ " <td>299</td>\n",
+ " <td>...</td>\n",
+ " <td>705</td>\n",
+ " <td>1748</td>\n",
+ " <td>1284</td>\n",
+ " <td>1067</td>\n",
+ " <td>1396</td>\n",
+ " <td>1401</td>\n",
+ " <td>1226</td>\n",
+ " <td>1951</td>\n",
+ " <td>1424</td>\n",
+ " <td>809</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
+ " <td>2016-01-15</td>\n",
+ " <td>11501</td>\n",
+ " <td>13016.4</td>\n",
+ " <td>NaN</td>\n",
+ " <td>1835</td>\n",
+ " <td>NaN</td>\n",
+ " <td>64</td>\n",
+ " <td>24</td>\n",
+ " <td>326</td>\n",
+ " <td>...</td>\n",
+ " <td>600</td>\n",
+ " <td>1532</td>\n",
+ " <td>1148</td>\n",
+ " <td>956</td>\n",
+ " <td>1208</td>\n",
+ " <td>1237</td>\n",
+ " <td>1048</td>\n",
+ " <td>1771</td>\n",
+ " <td>1263</td>\n",
+ " <td>711</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3</td>\n",
+ " <td>2016-01-22</td>\n",
+ " <td>11473</td>\n",
+ " <td>11765.4</td>\n",
+ " <td>NaN</td>\n",
+ " <td>1775</td>\n",
+ " <td>NaN</td>\n",
+ " <td>50</td>\n",
+ " <td>18</td>\n",
+ " <td>345</td>\n",
+ " <td>...</td>\n",
+ " <td>612</td>\n",
+ " <td>1602</td>\n",
+ " <td>1119</td>\n",
+ " <td>929</td>\n",
+ " <td>1209</td>\n",
+ " <td>1253</td>\n",
+ " <td>1068</td>\n",
+ " <td>1710</td>\n",
+ " <td>1219</td>\n",
+ " <td>720</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4</td>\n",
+ " <td>2016-01-29</td>\n",
+ " <td>11317</td>\n",
+ " <td>11289.0</td>\n",
+ " <td>NaN</td>\n",
+ " <td>1810</td>\n",
+ " <td>NaN</td>\n",
+ " <td>47</td>\n",
+ " <td>14</td>\n",
+ " <td>324</td>\n",
+ " <td>...</td>\n",
+ " <td>631</td>\n",
+ " <td>1516</td>\n",
+ " <td>1131</td>\n",
+ " <td>858</td>\n",
+ " <td>1195</td>\n",
+ " <td>1236</td>\n",
+ " <td>1065</td>\n",
+ " <td>1730</td>\n",
+ " <td>1207</td>\n",
+ " <td>717</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5</td>\n",
+ " <td>2016-02-05</td>\n",
+ " <td>11052</td>\n",
+ " <td>10965.6</td>\n",
+ " <td>NaN</td>\n",
+ " <td>1748</td>\n",
+ " <td>NaN</td>\n",
+ " <td>60</td>\n",
+ " <td>22</td>\n",
+ " <td>314</td>\n",
+ " <td>...</td>\n",
+ " <td>620</td>\n",
+ " <td>1459</td>\n",
+ " <td>1109</td>\n",
+ " <td>954</td>\n",
+ " <td>1197</td>\n",
+ " <td>1160</td>\n",
+ " <td>1059</td>\n",
+ " <td>1604</td>\n",
+ " <td>1169</td>\n",
+ " <td>690</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>5 rows × 41 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " Week number Week ended Total deaths, all ages \\\n",
+ " Unnamed: 0_level_1 Unnamed: 1_level_1 Unnamed: 2_level_1 \n",
+ "0 1 2016-01-08 13045 \n",
+ "1 2 2016-01-15 11501 \n",
+ "2 3 2016-01-22 11473 \n",
+ "3 4 2016-01-29 11317 \n",
+ "4 5 2016-02-05 11052 \n",
+ "\n",
+ " Total deaths: average of corresponding Unnamed: 4_level_0 \\\n",
+ " Unnamed: 3_level_1 Deaths by underlying cause \n",
+ "0 11701.4 NaN \n",
+ "1 13016.4 NaN \n",
+ "2 11765.4 NaN \n",
+ "3 11289.0 NaN \n",
+ "4 10965.6 NaN \n",
+ "\n",
+ " Unnamed: 5_level_0 \\\n",
+ " All respiratory diseases (ICD-10 J00-J99)\\nICD-10 v 2013 (IRIS) \n",
+ "0 2046 \n",
+ "1 1835 \n",
+ "2 1775 \n",
+ "3 1810 \n",
+ "4 1748 \n",
+ "\n",
+ " Persons Unnamed: 7_level_0 Unnamed: 8_level_0 \\\n",
+ " Deaths by age group Under 1 year 01-14 \n",
+ "0 NaN 49 17 \n",
+ "1 NaN 64 24 \n",
+ "2 NaN 50 18 \n",
+ "3 NaN 47 14 \n",
+ "4 NaN 60 22 \n",
+ "\n",
+ " Unnamed: 9_level_0 ... E12000001 E12000002 E12000003 \\\n",
+ " 15-44 ... North East North West Yorkshire and The Humber \n",
+ "0 299 ... 705 1748 1284 \n",
+ "1 326 ... 600 1532 1148 \n",
+ "2 345 ... 612 1602 1119 \n",
+ "3 324 ... 631 1516 1131 \n",
+ "4 314 ... 620 1459 1109 \n",
+ "\n",
+ " E12000004 E12000005 E12000006 E12000007 E12000008 E12000009 \\\n",
+ " East Midlands West Midlands East London South East South West \n",
+ "0 1067 1396 1401 1226 1951 1424 \n",
+ "1 956 1208 1237 1048 1771 1263 \n",
+ "2 929 1209 1253 1068 1710 1219 \n",
+ "3 858 1195 1236 1065 1730 1207 \n",
+ "4 954 1197 1160 1059 1604 1169 \n",
+ "\n",
+ " W92000004 \n",
+ " Wales \n",
+ "0 809 \n",
+ "1 711 \n",
+ "2 720 \n",
+ "3 717 \n",
+ "4 690 \n",
+ "\n",
+ "[5 rows x 41 columns]"
+ ]
+ },
+ "execution_count": 470,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "raw_data_2016.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 471,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
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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>Week number</th>\n",
+ " <th>Week ended</th>\n",
+ " <th>Total deaths, all ages</th>\n",
+ " <th>W92000004</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>2016-01-08</td>\n",
+ " <td>13045</td>\n",
+ " <td>809</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
+ " <td>2016-01-15</td>\n",
+ " <td>11501</td>\n",
+ " <td>711</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3</td>\n",
+ " <td>2016-01-22</td>\n",
+ " <td>11473</td>\n",
+ " <td>720</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4</td>\n",
+ " <td>2016-01-29</td>\n",
+ " <td>11317</td>\n",
+ " <td>717</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5</td>\n",
+ " <td>2016-02-05</td>\n",
+ " <td>11052</td>\n",
+ " <td>690</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " Week number Week ended Total deaths, all ages W92000004\n",
+ "0 1 2016-01-08 13045 809\n",
+ "1 2 2016-01-15 11501 711\n",
+ "2 3 2016-01-22 11473 720\n",
+ "3 4 2016-01-29 11317 717\n",
+ "4 5 2016-02-05 11052 690"
+ ]
+ },
+ "execution_count": 471,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rdew = raw_data_2016.iloc[:, [0, 1, 2, -1]].droplevel(axis=1, level=1)\n",
+ "rdew.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 472,
+ "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>week</th>\n",
+ " <th>date_up_to</th>\n",
+ " <th>deaths</th>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>2016-01-08</td>\n",
+ " <td>809</td>\n",
+ " <td>2016</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
+ " <td>2016-01-15</td>\n",
+ " <td>711</td>\n",
+ " <td>2016</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3</td>\n",
+ " <td>2016-01-22</td>\n",
+ " <td>720</td>\n",
+ " <td>2016</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4</td>\n",
+ " <td>2016-01-29</td>\n",
+ " <td>717</td>\n",
+ " <td>2016</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5</td>\n",
+ " <td>2016-02-05</td>\n",
+ " <td>690</td>\n",
+ " <td>2016</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " week date_up_to deaths year nation\n",
+ "0 1 2016-01-08 809 2016 Wales\n",
+ "1 2 2016-01-15 711 2016 Wales\n",
+ "2 3 2016-01-22 720 2016 Wales\n",
+ "3 4 2016-01-29 717 2016 Wales\n",
+ "4 5 2016-02-05 690 2016 Wales"
+ ]
+ },
+ "execution_count": 472,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rd = rdew.drop(columns=['Total deaths, all ages']).rename(\n",
+ " columns={'Week ended': 'date_up_to', 'W92000004': 'deaths',\n",
+ " 'Week number': 'week'}\n",
+ " )\n",
+ "rd['year'] = 2016\n",
+ "rd['nation'] = 'Wales'\n",
+ "rd.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 473,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "rd.to_sql(\n",
+ " 'all_causes_deaths',\n",
+ " conn,\n",
+ " if_exists='append',\n",
+ " index=False)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 474,
+ "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>date_up_to</th>\n",
+ " <th>week</th>\n",
+ " <th>deaths</th>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>2016-01-08</td>\n",
+ " <td>1</td>\n",
+ " <td>12236</td>\n",
+ " <td>2016</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2016-01-15</td>\n",
+ " <td>2</td>\n",
+ " <td>10790</td>\n",
+ " <td>2016</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>2016-01-22</td>\n",
+ " <td>3</td>\n",
+ " <td>10753</td>\n",
+ " <td>2016</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>2016-01-29</td>\n",
+ " <td>4</td>\n",
+ " <td>10600</td>\n",
+ " <td>2016</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>2016-02-05</td>\n",
+ " <td>5</td>\n",
+ " <td>10362</td>\n",
+ " <td>2016</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " date_up_to week deaths year nation\n",
+ "0 2016-01-08 1 12236 2016 England\n",
+ "1 2016-01-15 2 10790 2016 England\n",
+ "2 2016-01-22 3 10753 2016 England\n",
+ "3 2016-01-29 4 10600 2016 England\n",
+ "4 2016-02-05 5 10362 2016 England"
+ ]
+ },
+ "execution_count": 474,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rd = rdew.loc[:, ['Week ended','Week number']]\n",
+ "rd['deaths'] = rdew['Total deaths, all ages'] - rdew['W92000004']\n",
+ "rd = rd.rename(\n",
+ " columns={'Week ended': 'date_up_to', 'Week number': 'week'}\n",
+ " )\n",
+ "rd['year'] = 2016\n",
+ "rd['nation'] = 'England'\n",
+ "rd.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 475,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "rd.to_sql(\n",
+ " 'all_causes_deaths',\n",
+ " conn,\n",
+ " if_exists='append',\n",
+ " index=False)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 476,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " * postgresql://covid:***@localhost/covid\n",
+ "22 rows affected.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<table>\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " <th>count</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <td>2016</td>\n",
+ " <td>England</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2017</td>\n",
+ " <td>England</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>England</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>England</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>England</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2015</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2016</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2017</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2015</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2016</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2017</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2016</td>\n",
+ " <td>Wales</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2017</td>\n",
+ " <td>Wales</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>Wales</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>Wales</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>Wales</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>"
+ ],
+ "text/plain": [
+ "[(2016, 'England', 52),\n",
+ " (2017, 'England', 52),\n",
+ " (2018, 'England', 52),\n",
+ " (2019, 'England', 52),\n",
+ " (2020, 'England', 53),\n",
+ " (2015, 'Northern Ireland', 53),\n",
+ " (2016, 'Northern Ireland', 52),\n",
+ " (2017, 'Northern Ireland', 52),\n",
+ " (2018, 'Northern Ireland', 52),\n",
+ " (2019, 'Northern Ireland', 52),\n",
+ " (2020, 'Northern Ireland', 53),\n",
+ " (2015, 'Scotland', 53),\n",
+ " (2016, 'Scotland', 52),\n",
+ " (2017, 'Scotland', 52),\n",
+ " (2018, 'Scotland', 52),\n",
+ " (2019, 'Scotland', 52),\n",
+ " (2020, 'Scotland', 53),\n",
+ " (2016, 'Wales', 52),\n",
+ " (2017, 'Wales', 52),\n",
+ " (2018, 'Wales', 52),\n",
+ " (2019, 'Wales', 52),\n",
+ " (2020, 'Wales', 53)]"
+ ]
+ },
+ "execution_count": 476,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ " %sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 477,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "raw_data_2015 = pd.read_csv('uk-deaths-data/publishedweek2015.csv', \n",
+ " parse_dates=[1], dayfirst=True,\n",
+ "# index_col=0,\n",
+ " header=[0, 1])\n",
+ "# raw_data_2015.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 478,
+ "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>Week number</th>\n",
+ " <th>Week ended</th>\n",
+ " <th>Total deaths, all ages</th>\n",
+ " <th>W92000004</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>2015-01-02</td>\n",
+ " <td>12286</td>\n",
+ " <td>725</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
+ " <td>2015-01-09</td>\n",
+ " <td>16237</td>\n",
+ " <td>1031</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3</td>\n",
+ " <td>2015-01-16</td>\n",
+ " <td>14866</td>\n",
+ " <td>936</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4</td>\n",
+ " <td>2015-01-23</td>\n",
+ " <td>13934</td>\n",
+ " <td>828</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5</td>\n",
+ " <td>2015-01-30</td>\n",
+ " <td>12900</td>\n",
+ " <td>801</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " Week number Week ended Total deaths, all ages W92000004\n",
+ "0 1 2015-01-02 12286 725\n",
+ "1 2 2015-01-09 16237 1031\n",
+ "2 3 2015-01-16 14866 936\n",
+ "3 4 2015-01-23 13934 828\n",
+ "4 5 2015-01-30 12900 801"
+ ]
+ },
+ "execution_count": 478,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rdew = raw_data_2015.iloc[:, [0, 1, 2, -1]].droplevel(axis=1, level=1)\n",
+ "rdew.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 479,
+ "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>week</th>\n",
+ " <th>date_up_to</th>\n",
+ " <th>deaths</th>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>2015-01-02</td>\n",
+ " <td>725</td>\n",
+ " <td>2015</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
+ " <td>2015-01-09</td>\n",
+ " <td>1031</td>\n",
+ " <td>2015</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3</td>\n",
+ " <td>2015-01-16</td>\n",
+ " <td>936</td>\n",
+ " <td>2015</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4</td>\n",
+ " <td>2015-01-23</td>\n",
+ " <td>828</td>\n",
+ " <td>2015</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5</td>\n",
+ " <td>2015-01-30</td>\n",
+ " <td>801</td>\n",
+ " <td>2015</td>\n",
+ " <td>Wales</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " week date_up_to deaths year nation\n",
+ "0 1 2015-01-02 725 2015 Wales\n",
+ "1 2 2015-01-09 1031 2015 Wales\n",
+ "2 3 2015-01-16 936 2015 Wales\n",
+ "3 4 2015-01-23 828 2015 Wales\n",
+ "4 5 2015-01-30 801 2015 Wales"
+ ]
+ },
+ "execution_count": 479,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rd = rdew.drop(columns=['Total deaths, all ages']).rename(\n",
+ " columns={'Week ended': 'date_up_to', 'W92000004': 'deaths',\n",
+ " 'Week number': 'week'}\n",
+ " )\n",
+ "rd['year'] = 2015\n",
+ "rd['nation'] = 'Wales'\n",
+ "rd.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 480,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "rd.to_sql(\n",
+ " 'all_causes_deaths',\n",
+ " conn,\n",
+ " if_exists='append',\n",
+ " index=False)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 481,
+ "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>date_up_to</th>\n",
+ " <th>week</th>\n",
+ " <th>deaths</th>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>2015-01-02</td>\n",
+ " <td>1</td>\n",
+ " <td>11561</td>\n",
+ " <td>2015</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2015-01-09</td>\n",
+ " <td>2</td>\n",
+ " <td>15206</td>\n",
+ " <td>2015</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>2015-01-16</td>\n",
+ " <td>3</td>\n",
+ " <td>13930</td>\n",
+ " <td>2015</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>2015-01-23</td>\n",
+ " <td>4</td>\n",
+ " <td>13106</td>\n",
+ " <td>2015</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>2015-01-30</td>\n",
+ " <td>5</td>\n",
+ " <td>12099</td>\n",
+ " <td>2015</td>\n",
+ " <td>England</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " date_up_to week deaths year nation\n",
+ "0 2015-01-02 1 11561 2015 England\n",
+ "1 2015-01-09 2 15206 2015 England\n",
+ "2 2015-01-16 3 13930 2015 England\n",
+ "3 2015-01-23 4 13106 2015 England\n",
+ "4 2015-01-30 5 12099 2015 England"
+ ]
+ },
+ "execution_count": 481,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rd = rdew.loc[:, ['Week ended','Week number']]\n",
+ "rd['deaths'] = rdew['Total deaths, all ages'] - rdew['W92000004']\n",
+ "rd = rd.rename(\n",
+ " columns={'Week ended': 'date_up_to', 'Week number': 'week'}\n",
+ " )\n",
+ "rd['year'] = 2015\n",
+ "rd['nation'] = 'England'\n",
+ "rd.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 482,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "rd.to_sql(\n",
+ " 'all_causes_deaths',\n",
+ " conn,\n",
+ " if_exists='append',\n",
+ " index=False)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 483,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " * postgresql://covid:***@localhost/covid\n",
+ "24 rows affected.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<table>\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th>year</th>\n",
+ " <th>nation</th>\n",
+ " <th>count</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <td>2015</td>\n",
+ " <td>England</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2015</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2015</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2015</td>\n",
+ " <td>Wales</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2016</td>\n",
+ " <td>England</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2016</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2016</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2016</td>\n",
+ " <td>Wales</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2017</td>\n",
+ " <td>England</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2017</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2017</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2017</td>\n",
+ " <td>Wales</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>England</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2018</td>\n",
+ " <td>Wales</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>England</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2019</td>\n",
+ " <td>Wales</td>\n",
+ " <td>52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>England</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>Northern Ireland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>Scotland</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020</td>\n",
+ " <td>Wales</td>\n",
+ " <td>53</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>"
+ ],
+ "text/plain": [
+ "[(2015, 'England', 53),\n",
+ " (2015, 'Northern Ireland', 53),\n",
+ " (2015, 'Scotland', 53),\n",
+ " (2015, 'Wales', 53),\n",
+ " (2016, 'England', 52),\n",
+ " (2016, 'Northern Ireland', 52),\n",
+ " (2016, 'Scotland', 52),\n",
+ " (2016, 'Wales', 52),\n",
+ " (2017, 'England', 52),\n",
+ " (2017, 'Northern Ireland', 52),\n",
+ " (2017, 'Scotland', 52),\n",
+ " (2017, 'Wales', 52),\n",
+ " (2018, 'England', 52),\n",
+ " (2018, 'Northern Ireland', 52),\n",
+ " (2018, 'Scotland', 52),\n",
+ " (2018, 'Wales', 52),\n",
+ " (2019, 'England', 52),\n",
+ " (2019, 'Northern Ireland', 52),\n",
+ " (2019, 'Scotland', 52),\n",
+ " (2019, 'Wales', 52),\n",
+ " (2020, 'England', 53),\n",
+ " (2020, 'Northern Ireland', 53),\n",
+ " (2020, 'Scotland', 53),\n",
+ " (2020, 'Wales', 53)]"
+ ]
+ },
+ "execution_count": 483,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by year, nation"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 568,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " * postgresql://covid:***@localhost/covid\n",
+ "314 rows affected.\n",
+ "Returning data to local variable res\n"
+ ]
+ }
+ ],
+ "source": [
+ "%%sql res << select week, year, deaths\n",
+ "from all_causes_deaths\n",
+ "where nation = 'England'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 569,
+ "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>year</th>\n",
+ " <th>2015</th>\n",
+ " <th>2016</th>\n",
+ " <th>2017</th>\n",
+ " <th>2018</th>\n",
+ " <th>2019</th>\n",
+ " <th>2020</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>week</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>11561.0</td>\n",
+ " <td>12236.0</td>\n",
+ " <td>11247.0</td>\n",
+ " <td>11940.0</td>\n",
+ " <td>10237.0</td>\n",
+ " <td>11467.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>15206.0</td>\n",
+ " <td>10790.0</td>\n",
+ " <td>12890.0</td>\n",
+ " <td>14146.0</td>\n",
+ " <td>11800.0</td>\n",
+ " <td>13119.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>13930.0</td>\n",
+ " <td>10753.0</td>\n",
+ " <td>12775.0</td>\n",
+ " <td>13371.0</td>\n",
+ " <td>11177.0</td>\n",
+ " <td>12223.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>13106.0</td>\n",
+ " <td>10600.0</td>\n",
+ " <td>11996.0</td>\n",
+ " <td>13085.0</td>\n",
+ " <td>11006.0</td>\n",
+ " <td>11133.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5</th>\n",
+ " <td>12099.0</td>\n",
+ " <td>10362.0</td>\n",
+ " <td>11736.0</td>\n",
+ " <td>12470.0</td>\n",
+ " <td>10552.0</td>\n",
+ " <td>10885.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6</th>\n",
+ " <td>11319.0</td>\n",
+ " <td>10470.0</td>\n",
+ " <td>11546.0</td>\n",
+ " <td>11694.0</td>\n",
+ " <td>10959.0</td>\n",
+ " <td>10296.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7</th>\n",
+ " <td>11112.0</td>\n",
+ " <td>9933.0</td>\n",
+ " <td>10954.0</td>\n",
+ " <td>11443.0</td>\n",
+ " <td>11076.0</td>\n",
+ " <td>10216.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8</th>\n",
+ " <td>10695.0</td>\n",
+ " <td>10360.0</td>\n",
+ " <td>11093.0</td>\n",
+ " <td>11353.0</td>\n",
+ " <td>10600.0</td>\n",
+ " <td>10162.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9</th>\n",
+ " <td>10736.0</td>\n",
+ " <td>10564.0</td>\n",
+ " <td>10533.0</td>\n",
+ " <td>10220.0</td>\n",
+ " <td>10360.0</td>\n",
+ " <td>10165.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>10</th>\n",
+ " <td>10757.0</td>\n",
+ " <td>10276.0</td>\n",
+ " <td>10443.0</td>\n",
+ " <td>12101.0</td>\n",
+ " <td>10276.0</td>\n",
+ " <td>10243.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>11</th>\n",
+ " <td>10290.0</td>\n",
+ " <td>10284.0</td>\n",
+ " <td>10044.0</td>\n",
+ " <td>11870.0</td>\n",
+ " <td>9901.0</td>\n",
+ " <td>10344.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>12</th>\n",
+ " <td>9888.0</td>\n",
+ " <td>8967.0</td>\n",
+ " <td>9690.0</td>\n",
+ " <td>11139.0</td>\n",
+ " <td>9774.0</td>\n",
+ " <td>9926.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>13</th>\n",
+ " <td>9827.0</td>\n",
+ " <td>9574.0</td>\n",
+ " <td>9369.0</td>\n",
+ " <td>9308.0</td>\n",
+ " <td>9213.0</td>\n",
+ " <td>10422.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>14</th>\n",
+ " <td>8482.0</td>\n",
+ " <td>10857.0</td>\n",
+ " <td>9297.0</td>\n",
+ " <td>10064.0</td>\n",
+ " <td>9484.0</td>\n",
+ " <td>15467.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15</th>\n",
+ " <td>9429.0</td>\n",
+ " <td>10679.0</td>\n",
+ " <td>7916.0</td>\n",
+ " <td>11558.0</td>\n",
+ " <td>9654.0</td>\n",
+ " <td>17588.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16</th>\n",
+ " <td>10968.0</td>\n",
+ " <td>10211.0</td>\n",
+ " <td>8990.0</td>\n",
+ " <td>10535.0</td>\n",
+ " <td>8445.0</td>\n",
+ " <td>21182.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17</th>\n",
+ " <td>9937.0</td>\n",
+ " <td>9784.0</td>\n",
+ " <td>10181.0</td>\n",
+ " <td>9692.0</td>\n",
+ " <td>9381.0</td>\n",
+ " <td>20873.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>18</th>\n",
+ " <td>9506.0</td>\n",
+ " <td>8568.0</td>\n",
+ " <td>8464.0</td>\n",
+ " <td>9520.0</td>\n",
+ " <td>10519.0</td>\n",
+ " <td>17024.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>19</th>\n",
+ " <td>8273.0</td>\n",
+ " <td>9985.0</td>\n",
+ " <td>10006.0</td>\n",
+ " <td>8094.0</td>\n",
+ " <td>8455.0</td>\n",
+ " <td>11965.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>20</th>\n",
+ " <td>9668.0</td>\n",
+ " <td>9342.0</td>\n",
+ " <td>9673.0</td>\n",
+ " <td>9474.0</td>\n",
+ " <td>9614.0</td>\n",
+ " <td>13801.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>21</th>\n",
+ " <td>9391.0</td>\n",
+ " <td>9115.0</td>\n",
+ " <td>9438.0</td>\n",
+ " <td>9033.0</td>\n",
+ " <td>9657.0</td>\n",
+ " <td>11596.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>22</th>\n",
+ " <td>7625.0</td>\n",
+ " <td>7409.0</td>\n",
+ " <td>7746.0</td>\n",
+ " <td>7609.0</td>\n",
+ " <td>7742.0</td>\n",
+ " <td>9237.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>23</th>\n",
+ " <td>9509.0</td>\n",
+ " <td>9289.0</td>\n",
+ " <td>9182.0</td>\n",
+ " <td>9343.0</td>\n",
+ " <td>9514.0</td>\n",
+ " <td>10009.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24</th>\n",
+ " <td>8942.0</td>\n",
+ " <td>8808.0</td>\n",
+ " <td>8768.0</td>\n",
+ " <td>8782.0</td>\n",
+ " <td>8847.0</td>\n",
+ " <td>9402.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>25</th>\n",
+ " <td>8717.0</td>\n",
+ " <td>8807.0</td>\n",
+ " <td>9019.0</td>\n",
+ " <td>8694.0</td>\n",
+ " <td>8916.0</td>\n",
+ " <td>8722.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>26</th>\n",
+ " <td>8593.0</td>\n",
+ " <td>8679.0</td>\n",
+ " <td>8788.0</td>\n",
+ " <td>8613.0</td>\n",
+ " <td>8947.0</td>\n",
+ " <td>8427.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>27</th>\n",
+ " <td>8670.0</td>\n",
+ " <td>8614.0</td>\n",
+ " <td>8707.0</td>\n",
+ " <td>8633.0</td>\n",
+ " <td>8528.0</td>\n",
+ " <td>8556.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>28</th>\n",
+ " <td>8461.0</td>\n",
+ " <td>8789.0</td>\n",
+ " <td>8812.0</td>\n",
+ " <td>8710.0</td>\n",
+ " <td>8591.0</td>\n",
+ " <td>8118.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>29</th>\n",
+ " <td>8228.0</td>\n",
+ " <td>8790.0</td>\n",
+ " <td>8562.0</td>\n",
+ " <td>8579.0</td>\n",
+ " <td>8527.0</td>\n",
+ " <td>8273.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>30</th>\n",
+ " <td>8262.0</td>\n",
+ " <td>8725.0</td>\n",
+ " <td>8296.0</td>\n",
+ " <td>8581.0</td>\n",
+ " <td>8569.0</td>\n",
+ " <td>8326.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>31</th>\n",
+ " <td>8071.0</td>\n",
+ " <td>8602.0</td>\n",
+ " <td>8351.0</td>\n",
+ " <td>8587.0</td>\n",
+ " <td>8701.0</td>\n",
+ " <td>8415.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>32</th>\n",
+ " <td>8298.0</td>\n",
+ " <td>8531.0</td>\n",
+ " <td>8466.0</td>\n",
+ " <td>8782.0</td>\n",
+ " <td>8580.0</td>\n",
+ " <td>8382.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>33</th>\n",
+ " <td>8600.0</td>\n",
+ " <td>8496.0</td>\n",
+ " <td>8707.0</td>\n",
+ " <td>8312.0</td>\n",
+ " <td>8504.0</td>\n",
+ " <td>8775.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>34</th>\n",
+ " <td>8564.0</td>\n",
+ " <td>8700.0</td>\n",
+ " <td>8812.0</td>\n",
+ " <td>8413.0</td>\n",
+ " <td>8441.0</td>\n",
+ " <td>9037.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>35</th>\n",
+ " <td>8423.0</td>\n",
+ " <td>7453.0</td>\n",
+ " <td>7594.0</td>\n",
+ " <td>7354.0</td>\n",
+ " <td>7684.0</td>\n",
+ " <td>8441.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>36</th>\n",
+ " <td>7389.0</td>\n",
+ " <td>8847.0</td>\n",
+ " <td>8955.0</td>\n",
+ " <td>8851.0</td>\n",
+ " <td>9113.0</td>\n",
+ " <td>7251.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>37</th>\n",
+ " <td>8704.0</td>\n",
+ " <td>8548.0</td>\n",
+ " <td>8845.0</td>\n",
+ " <td>8612.0</td>\n",
+ " <td>8946.0</td>\n",
+ " <td>9233.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>38</th>\n",
+ " <td>8542.0</td>\n",
+ " <td>8382.0</td>\n",
+ " <td>8949.0</td>\n",
+ " <td>8707.0</td>\n",
+ " <td>8868.0</td>\n",
+ " <td>8968.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>39</th>\n",
+ " <td>8865.0</td>\n",
+ " <td>8402.0</td>\n",
+ " <td>9096.0</td>\n",
+ " <td>8590.0</td>\n",
+ " <td>8906.0</td>\n",
+ " <td>9017.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>40</th>\n",
+ " <td>8858.0</td>\n",
+ " <td>8729.0</td>\n",
+ " <td>9147.0</td>\n",
+ " <td>8908.0</td>\n",
+ " <td>9202.0</td>\n",
+ " <td>9274.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>41</th>\n",
+ " <td>9124.0</td>\n",
+ " <td>9132.0</td>\n",
+ " <td>9300.0</td>\n",
+ " <td>9043.0</td>\n",
+ " <td>9383.0</td>\n",
+ " <td>9316.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>42</th>\n",
+ " <td>8899.0</td>\n",
+ " <td>9144.0</td>\n",
+ " <td>9381.0</td>\n",
+ " <td>9224.0</td>\n",
+ " <td>9534.0</td>\n",
+ " <td>9846.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>43</th>\n",
+ " <td>9104.0</td>\n",
+ " <td>9100.0</td>\n",
+ " <td>9131.0</td>\n",
+ " <td>8970.0</td>\n",
+ " <td>9351.0</td>\n",
+ " <td>10078.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>44</th>\n",
+ " <td>9025.0</td>\n",
+ " <td>9508.0</td>\n",
+ " <td>9389.0</td>\n",
+ " <td>8925.0</td>\n",
+ " <td>9522.0</td>\n",
+ " <td>10175.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>45</th>\n",
+ " <td>9388.0</td>\n",
+ " <td>9844.0</td>\n",
+ " <td>9748.0</td>\n",
+ " <td>9509.0</td>\n",
+ " <td>10044.0</td>\n",
+ " <td>10980.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>46</th>\n",
+ " <td>9325.0</td>\n",
+ " <td>10013.0</td>\n",
+ " <td>9609.0</td>\n",
+ " <td>9537.0</td>\n",
+ " <td>9976.0</td>\n",
+ " <td>11512.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>47</th>\n",
+ " <td>9219.0</td>\n",
+ " <td>9942.0</td>\n",
+ " <td>9982.0</td>\n",
+ " <td>9300.0</td>\n",
+ " <td>10183.0</td>\n",
+ " <td>11687.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>48</th>\n",
+ " <td>9233.0</td>\n",
+ " <td>9796.0</td>\n",
+ " <td>9902.0</td>\n",
+ " <td>9360.0</td>\n",
+ " <td>10269.0</td>\n",
+ " <td>11659.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>49</th>\n",
+ " <td>9706.0</td>\n",
+ " <td>10530.0</td>\n",
+ " <td>10151.0</td>\n",
+ " <td>9613.0</td>\n",
+ " <td>10079.0</td>\n",
+ " <td>11467.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50</th>\n",
+ " <td>9581.0</td>\n",
+ " <td>9870.0</td>\n",
+ " <td>10509.0</td>\n",
+ " <td>9842.0</td>\n",
+ " <td>10489.0</td>\n",
+ " <td>11478.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>51</th>\n",
+ " <td>10043.0</td>\n",
+ " <td>10802.0</td>\n",
+ " <td>11755.0</td>\n",
+ " <td>10392.0</td>\n",
+ " <td>11159.0</td>\n",
+ " <td>12129.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>52</th>\n",
+ " <td>8095.0</td>\n",
+ " <td>7445.0</td>\n",
+ " <td>7946.0</td>\n",
+ " <td>6670.0</td>\n",
+ " <td>7037.0</td>\n",
+ " <td>10695.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>53</th>\n",
+ " <td>7008.0</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9342.0</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ "year 2015 2016 2017 2018 2019 2020\n",
+ "week \n",
+ "1 11561.0 12236.0 11247.0 11940.0 10237.0 11467.0\n",
+ "2 15206.0 10790.0 12890.0 14146.0 11800.0 13119.0\n",
+ "3 13930.0 10753.0 12775.0 13371.0 11177.0 12223.0\n",
+ "4 13106.0 10600.0 11996.0 13085.0 11006.0 11133.0\n",
+ "5 12099.0 10362.0 11736.0 12470.0 10552.0 10885.0\n",
+ "6 11319.0 10470.0 11546.0 11694.0 10959.0 10296.0\n",
+ "7 11112.0 9933.0 10954.0 11443.0 11076.0 10216.0\n",
+ "8 10695.0 10360.0 11093.0 11353.0 10600.0 10162.0\n",
+ "9 10736.0 10564.0 10533.0 10220.0 10360.0 10165.0\n",
+ "10 10757.0 10276.0 10443.0 12101.0 10276.0 10243.0\n",
+ "11 10290.0 10284.0 10044.0 11870.0 9901.0 10344.0\n",
+ "12 9888.0 8967.0 9690.0 11139.0 9774.0 9926.0\n",
+ "13 9827.0 9574.0 9369.0 9308.0 9213.0 10422.0\n",
+ "14 8482.0 10857.0 9297.0 10064.0 9484.0 15467.0\n",
+ "15 9429.0 10679.0 7916.0 11558.0 9654.0 17588.0\n",
+ "16 10968.0 10211.0 8990.0 10535.0 8445.0 21182.0\n",
+ "17 9937.0 9784.0 10181.0 9692.0 9381.0 20873.0\n",
+ "18 9506.0 8568.0 8464.0 9520.0 10519.0 17024.0\n",
+ "19 8273.0 9985.0 10006.0 8094.0 8455.0 11965.0\n",
+ "20 9668.0 9342.0 9673.0 9474.0 9614.0 13801.0\n",
+ "21 9391.0 9115.0 9438.0 9033.0 9657.0 11596.0\n",
+ "22 7625.0 7409.0 7746.0 7609.0 7742.0 9237.0\n",
+ "23 9509.0 9289.0 9182.0 9343.0 9514.0 10009.0\n",
+ "24 8942.0 8808.0 8768.0 8782.0 8847.0 9402.0\n",
+ "25 8717.0 8807.0 9019.0 8694.0 8916.0 8722.0\n",
+ "26 8593.0 8679.0 8788.0 8613.0 8947.0 8427.0\n",
+ "27 8670.0 8614.0 8707.0 8633.0 8528.0 8556.0\n",
+ "28 8461.0 8789.0 8812.0 8710.0 8591.0 8118.0\n",
+ "29 8228.0 8790.0 8562.0 8579.0 8527.0 8273.0\n",
+ "30 8262.0 8725.0 8296.0 8581.0 8569.0 8326.0\n",
+ "31 8071.0 8602.0 8351.0 8587.0 8701.0 8415.0\n",
+ "32 8298.0 8531.0 8466.0 8782.0 8580.0 8382.0\n",
+ "33 8600.0 8496.0 8707.0 8312.0 8504.0 8775.0\n",
+ "34 8564.0 8700.0 8812.0 8413.0 8441.0 9037.0\n",
+ "35 8423.0 7453.0 7594.0 7354.0 7684.0 8441.0\n",
+ "36 7389.0 8847.0 8955.0 8851.0 9113.0 7251.0\n",
+ "37 8704.0 8548.0 8845.0 8612.0 8946.0 9233.0\n",
+ "38 8542.0 8382.0 8949.0 8707.0 8868.0 8968.0\n",
+ "39 8865.0 8402.0 9096.0 8590.0 8906.0 9017.0\n",
+ "40 8858.0 8729.0 9147.0 8908.0 9202.0 9274.0\n",
+ "41 9124.0 9132.0 9300.0 9043.0 9383.0 9316.0\n",
+ "42 8899.0 9144.0 9381.0 9224.0 9534.0 9846.0\n",
+ "43 9104.0 9100.0 9131.0 8970.0 9351.0 10078.0\n",
+ "44 9025.0 9508.0 9389.0 8925.0 9522.0 10175.0\n",
+ "45 9388.0 9844.0 9748.0 9509.0 10044.0 10980.0\n",
+ "46 9325.0 10013.0 9609.0 9537.0 9976.0 11512.0\n",
+ "47 9219.0 9942.0 9982.0 9300.0 10183.0 11687.0\n",
+ "48 9233.0 9796.0 9902.0 9360.0 10269.0 11659.0\n",
+ "49 9706.0 10530.0 10151.0 9613.0 10079.0 11467.0\n",
+ "50 9581.0 9870.0 10509.0 9842.0 10489.0 11478.0\n",
+ "51 10043.0 10802.0 11755.0 10392.0 11159.0 12129.0\n",
+ "52 8095.0 7445.0 7946.0 6670.0 7037.0 10695.0\n",
+ "53 7008.0 NaN NaN NaN NaN 9342.0"
+ ]
+ },
+ "execution_count": 569,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "deaths_headlines_e = res.DataFrame().pivot(index='week', columns='year', values='deaths')\n",
+ "deaths_headlines_e"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 570,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " * postgresql://covid:***@localhost/covid\n",
+ "314 rows affected.\n",
+ "Returning data to local variable res\n"
+ ]
+ }
+ ],
+ "source": [
+ "%%sql res << select week, year, deaths\n",
+ "from all_causes_deaths\n",
+ "where nation = 'Scotland'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 571,
+ "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>year</th>\n",
+ " <th>2015</th>\n",
+ " <th>2016</th>\n",
+ " <th>2017</th>\n",
+ " <th>2018</th>\n",
+ " <th>2019</th>\n",
+ " <th>2020</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>week</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>1146.0</td>\n",
+ " <td>1394.0</td>\n",
+ " <td>1205.0</td>\n",
+ " <td>1531.0</td>\n",
+ " <td>1104.0</td>\n",
+ " <td>1161.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>1708.0</td>\n",
+ " <td>1305.0</td>\n",
+ " <td>1379.0</td>\n",
+ " <td>1899.0</td>\n",
+ " <td>1507.0</td>\n",
+ " <td>1567.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>1489.0</td>\n",
+ " <td>1215.0</td>\n",
+ " <td>1224.0</td>\n",
+ " <td>1629.0</td>\n",
+ " <td>1353.0</td>\n",
+ " <td>1322.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>1381.0</td>\n",
+ " <td>1187.0</td>\n",
+ " <td>1197.0</td>\n",
+ " <td>1610.0</td>\n",
+ " <td>1208.0</td>\n",
+ " <td>1226.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5</th>\n",
+ " <td>1286.0</td>\n",
+ " <td>1205.0</td>\n",
+ " <td>1332.0</td>\n",
+ " <td>1369.0</td>\n",
+ " <td>1206.0</td>\n",
+ " <td>1188.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6</th>\n",
+ " <td>1344.0</td>\n",
+ " <td>1217.0</td>\n",
+ " <td>1200.0</td>\n",
+ " <td>1265.0</td>\n",
+ " <td>1243.0</td>\n",
+ " <td>1216.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7</th>\n",
+ " <td>1360.0</td>\n",
+ " <td>1209.0</td>\n",
+ " <td>1231.0</td>\n",
+ " <td>1315.0</td>\n",
+ " <td>1181.0</td>\n",
+ " <td>1162.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8</th>\n",
+ " <td>1320.0</td>\n",
+ " <td>1239.0</td>\n",
+ " <td>1185.0</td>\n",
+ " <td>1245.0</td>\n",
+ " <td>1245.0</td>\n",
+ " <td>1162.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9</th>\n",
+ " <td>1308.0</td>\n",
+ " <td>1150.0</td>\n",
+ " <td>1219.0</td>\n",
+ " <td>1022.0</td>\n",
+ " <td>1125.0</td>\n",
+ " <td>1171.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>10</th>\n",
+ " <td>1192.0</td>\n",
+ " <td>1174.0</td>\n",
+ " <td>1146.0</td>\n",
+ " <td>1475.0</td>\n",
+ " <td>1156.0</td>\n",
+ " <td>1208.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>11</th>\n",
+ " <td>1201.0</td>\n",
+ " <td>1175.0</td>\n",
+ " <td>1141.0</td>\n",
+ " <td>1220.0</td>\n",
+ " <td>1108.0</td>\n",
+ " <td>1156.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>12</th>\n",
+ " <td>1149.0</td>\n",
+ " <td>1042.0</td>\n",
+ " <td>1152.0</td>\n",
+ " <td>1158.0</td>\n",
+ " <td>1101.0</td>\n",
+ " <td>1196.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>13</th>\n",
+ " <td>1171.0</td>\n",
+ " <td>1172.0</td>\n",
+ " <td>1112.0</td>\n",
+ " <td>1050.0</td>\n",
+ " <td>1086.0</td>\n",
+ " <td>1079.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>14</th>\n",
+ " <td>1042.0</td>\n",
+ " <td>1166.0</td>\n",
+ " <td>1060.0</td>\n",
+ " <td>1192.0</td>\n",
+ " <td>1032.0</td>\n",
+ " <td>1744.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15</th>\n",
+ " <td>1192.0</td>\n",
+ " <td>1048.0</td>\n",
+ " <td>998.0</td>\n",
+ " <td>1192.0</td>\n",
+ " <td>1069.0</td>\n",
+ " <td>1978.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16</th>\n",
+ " <td>1095.0</td>\n",
+ " <td>1092.0</td>\n",
+ " <td>1111.0</td>\n",
+ " <td>1136.0</td>\n",
+ " <td>902.0</td>\n",
+ " <td>1916.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17</th>\n",
+ " <td>1108.0</td>\n",
+ " <td>1076.0</td>\n",
+ " <td>1121.0</td>\n",
+ " <td>1008.0</td>\n",
+ " <td>1121.0</td>\n",
+ " <td>1836.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>18</th>\n",
+ " <td>1117.0</td>\n",
+ " <td>1006.0</td>\n",
+ " <td>1050.0</td>\n",
+ " <td>1093.0</td>\n",
+ " <td>1131.0</td>\n",
+ " <td>1679.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>19</th>\n",
+ " <td>1020.0</td>\n",
+ " <td>1047.0</td>\n",
+ " <td>1119.0</td>\n",
+ " <td>967.0</td>\n",
+ " <td>1018.0</td>\n",
+ " <td>1435.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>20</th>\n",
+ " <td>1103.0</td>\n",
+ " <td>1010.0</td>\n",
+ " <td>1115.0</td>\n",
+ " <td>977.0</td>\n",
+ " <td>1115.0</td>\n",
+ " <td>1421.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>21</th>\n",
+ " <td>1039.0</td>\n",
+ " <td>994.0</td>\n",
+ " <td>1063.0</td>\n",
+ " <td>1070.0</td>\n",
+ " <td>1061.0</td>\n",
+ " <td>1226.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>22</th>\n",
+ " <td>1043.0</td>\n",
+ " <td>999.0</td>\n",
+ " <td>1015.0</td>\n",
+ " <td>998.0</td>\n",
+ " <td>1029.0</td>\n",
+ " <td>1125.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>23</th>\n",
+ " <td>1106.0</td>\n",
+ " <td>1023.0</td>\n",
+ " <td>1076.0</td>\n",
+ " <td>1033.0</td>\n",
+ " <td>1042.0</td>\n",
+ " <td>1093.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24</th>\n",
+ " <td>1038.0</td>\n",
+ " <td>988.0</td>\n",
+ " <td>1031.0</td>\n",
+ " <td>915.0</td>\n",
+ " <td>1028.0</td>\n",
+ " <td>1034.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>25</th>\n",
+ " <td>1025.0</td>\n",
+ " <td>994.0</td>\n",
+ " <td>1032.0</td>\n",
+ " <td>993.0</td>\n",
+ " <td>1053.0</td>\n",
+ " <td>1065.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>26</th>\n",
+ " <td>1032.0</td>\n",
+ " <td>1007.0</td>\n",
+ " <td>994.0</td>\n",
+ " <td>1046.0</td>\n",
+ " <td>1051.0</td>\n",
+ " <td>1008.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>27</th>\n",
+ " <td>1040.0</td>\n",
+ " <td>988.0</td>\n",
+ " <td>1040.0</td>\n",
+ " <td>1041.0</td>\n",
+ " <td>981.0</td>\n",
+ " <td>983.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>28</th>\n",
+ " <td>1011.0</td>\n",
+ " <td>1022.0</td>\n",
+ " <td>1014.0</td>\n",
+ " <td>1002.0</td>\n",
+ " <td>1077.0</td>\n",
+ " <td>976.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>29</th>\n",
+ " <td>1023.0</td>\n",
+ " <td>1041.0</td>\n",
+ " <td>1025.0</td>\n",
+ " <td>928.0</td>\n",
+ " <td>964.0</td>\n",
+ " <td>1033.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>30</th>\n",
+ " <td>956.0</td>\n",
+ " <td>979.0</td>\n",
+ " <td>978.0</td>\n",
+ " <td>933.0</td>\n",
+ " <td>1041.0</td>\n",
+ " <td>961.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>31</th>\n",
+ " <td>985.0</td>\n",
+ " <td>987.0</td>\n",
+ " <td>1011.0</td>\n",
+ " <td>969.0</td>\n",
+ " <td>1020.0</td>\n",
+ " <td>1043.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>32</th>\n",
+ " <td>1043.0</td>\n",
+ " <td>997.0</td>\n",
+ " <td>1002.0</td>\n",
+ " <td>953.0</td>\n",
+ " <td>1018.0</td>\n",
+ " <td>1011.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>33</th>\n",
+ " <td>969.0</td>\n",
+ " <td>982.0</td>\n",
+ " <td>1004.0</td>\n",
+ " <td>978.0</td>\n",
+ " <td>1028.0</td>\n",
+ " <td>922.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>34</th>\n",
+ " <td>982.0</td>\n",
+ " <td>1017.0</td>\n",
+ " <td>1045.0</td>\n",
+ " <td>941.0</td>\n",
+ " <td>1011.0</td>\n",
+ " <td>1046.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>35</th>\n",
+ " <td>954.0</td>\n",
+ " <td>1039.0</td>\n",
+ " <td>980.0</td>\n",
+ " <td>930.0</td>\n",
+ " <td>1013.0</td>\n",
+ " <td>1029.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>36</th>\n",
+ " <td>977.0</td>\n",
+ " <td>1007.0</td>\n",
+ " <td>1006.0</td>\n",
+ " <td>970.0</td>\n",
+ " <td>980.0</td>\n",
+ " <td>1050.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>37</th>\n",
+ " <td>991.0</td>\n",
+ " <td>983.0</td>\n",
+ " <td>972.0</td>\n",
+ " <td>1020.0</td>\n",
+ " <td>1074.0</td>\n",
+ " <td>1069.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>38</th>\n",
+ " <td>1001.0</td>\n",
+ " <td>966.0</td>\n",
+ " <td>1049.0</td>\n",
+ " <td>946.0</td>\n",
+ " <td>1071.0</td>\n",
+ " <td>952.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>39</th>\n",
+ " <td>1010.0</td>\n",
+ " <td>1009.0</td>\n",
+ " <td>1056.0</td>\n",
+ " <td>1015.0</td>\n",
+ " <td>1142.0</td>\n",
+ " <td>933.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>40</th>\n",
+ " <td>1008.0</td>\n",
+ " <td>1072.0</td>\n",
+ " <td>1016.0</td>\n",
+ " <td>1042.0</td>\n",
+ " <td>1051.0</td>\n",
+ " <td>1195.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>41</th>\n",
+ " <td>1028.0</td>\n",
+ " <td>1009.0</td>\n",
+ " <td>1133.0</td>\n",
+ " <td>1081.0</td>\n",
+ " <td>1143.0</td>\n",
+ " <td>1071.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>42</th>\n",
+ " <td>989.0</td>\n",
+ " <td>1070.0</td>\n",
+ " <td>1067.0</td>\n",
+ " <td>1031.0</td>\n",
+ " <td>1153.0</td>\n",
+ " <td>1131.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>43</th>\n",
+ " <td>981.0</td>\n",
+ " <td>1052.0</td>\n",
+ " <td>1095.0</td>\n",
+ " <td>1019.0</td>\n",
+ " <td>1115.0</td>\n",
+ " <td>1187.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>44</th>\n",
+ " <td>1116.0</td>\n",
+ " <td>1032.0</td>\n",
+ " <td>1062.0</td>\n",
+ " <td>1085.0</td>\n",
+ " <td>1101.0</td>\n",
+ " <td>1262.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>45</th>\n",
+ " <td>1028.0</td>\n",
+ " <td>1043.0</td>\n",
+ " <td>1126.0</td>\n",
+ " <td>1144.0</td>\n",
+ " <td>1184.0</td>\n",
+ " <td>1250.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>46</th>\n",
+ " <td>1103.0</td>\n",
+ " <td>1174.0</td>\n",
+ " <td>1175.0</td>\n",
+ " <td>1084.0</td>\n",
+ " <td>1160.0</td>\n",
+ " <td>1138.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>47</th>\n",
+ " <td>1054.0</td>\n",
+ " <td>1132.0</td>\n",
+ " <td>1178.0</td>\n",
+ " <td>1058.0</td>\n",
+ " <td>1229.0</td>\n",
+ " <td>1360.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>48</th>\n",
+ " <td>1115.0</td>\n",
+ " <td>1159.0</td>\n",
+ " <td>1153.0</td>\n",
+ " <td>1062.0</td>\n",
+ " <td>1163.0</td>\n",
+ " <td>1328.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>49</th>\n",
+ " <td>1089.0</td>\n",
+ " <td>1188.0</td>\n",
+ " <td>1237.0</td>\n",
+ " <td>1076.0</td>\n",
+ " <td>1108.0</td>\n",
+ " <td>1296.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50</th>\n",
+ " <td>1101.0</td>\n",
+ " <td>1219.0</td>\n",
+ " <td>1335.0</td>\n",
+ " <td>1212.0</td>\n",
+ " <td>1312.0</td>\n",
+ " <td>1284.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>51</th>\n",
+ " <td>1146.0</td>\n",
+ " <td>1284.0</td>\n",
+ " <td>1437.0</td>\n",
+ " <td>1216.0</td>\n",
+ " <td>1277.0</td>\n",
+ " <td>1297.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>52</th>\n",
+ " <td>944.0</td>\n",
+ " <td>1133.0</td>\n",
+ " <td>1168.0</td>\n",
+ " <td>1058.0</td>\n",
+ " <td>1000.0</td>\n",
+ " <td>1205.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>53</th>\n",
+ " <td>1018.0</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>1178.0</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ "year 2015 2016 2017 2018 2019 2020\n",
+ "week \n",
+ "1 1146.0 1394.0 1205.0 1531.0 1104.0 1161.0\n",
+ "2 1708.0 1305.0 1379.0 1899.0 1507.0 1567.0\n",
+ "3 1489.0 1215.0 1224.0 1629.0 1353.0 1322.0\n",
+ "4 1381.0 1187.0 1197.0 1610.0 1208.0 1226.0\n",
+ "5 1286.0 1205.0 1332.0 1369.0 1206.0 1188.0\n",
+ "6 1344.0 1217.0 1200.0 1265.0 1243.0 1216.0\n",
+ "7 1360.0 1209.0 1231.0 1315.0 1181.0 1162.0\n",
+ "8 1320.0 1239.0 1185.0 1245.0 1245.0 1162.0\n",
+ "9 1308.0 1150.0 1219.0 1022.0 1125.0 1171.0\n",
+ "10 1192.0 1174.0 1146.0 1475.0 1156.0 1208.0\n",
+ "11 1201.0 1175.0 1141.0 1220.0 1108.0 1156.0\n",
+ "12 1149.0 1042.0 1152.0 1158.0 1101.0 1196.0\n",
+ "13 1171.0 1172.0 1112.0 1050.0 1086.0 1079.0\n",
+ "14 1042.0 1166.0 1060.0 1192.0 1032.0 1744.0\n",
+ "15 1192.0 1048.0 998.0 1192.0 1069.0 1978.0\n",
+ "16 1095.0 1092.0 1111.0 1136.0 902.0 1916.0\n",
+ "17 1108.0 1076.0 1121.0 1008.0 1121.0 1836.0\n",
+ "18 1117.0 1006.0 1050.0 1093.0 1131.0 1679.0\n",
+ "19 1020.0 1047.0 1119.0 967.0 1018.0 1435.0\n",
+ "20 1103.0 1010.0 1115.0 977.0 1115.0 1421.0\n",
+ "21 1039.0 994.0 1063.0 1070.0 1061.0 1226.0\n",
+ "22 1043.0 999.0 1015.0 998.0 1029.0 1125.0\n",
+ "23 1106.0 1023.0 1076.0 1033.0 1042.0 1093.0\n",
+ "24 1038.0 988.0 1031.0 915.0 1028.0 1034.0\n",
+ "25 1025.0 994.0 1032.0 993.0 1053.0 1065.0\n",
+ "26 1032.0 1007.0 994.0 1046.0 1051.0 1008.0\n",
+ "27 1040.0 988.0 1040.0 1041.0 981.0 983.0\n",
+ "28 1011.0 1022.0 1014.0 1002.0 1077.0 976.0\n",
+ "29 1023.0 1041.0 1025.0 928.0 964.0 1033.0\n",
+ "30 956.0 979.0 978.0 933.0 1041.0 961.0\n",
+ "31 985.0 987.0 1011.0 969.0 1020.0 1043.0\n",
+ "32 1043.0 997.0 1002.0 953.0 1018.0 1011.0\n",
+ "33 969.0 982.0 1004.0 978.0 1028.0 922.0\n",
+ "34 982.0 1017.0 1045.0 941.0 1011.0 1046.0\n",
+ "35 954.0 1039.0 980.0 930.0 1013.0 1029.0\n",
+ "36 977.0 1007.0 1006.0 970.0 980.0 1050.0\n",
+ "37 991.0 983.0 972.0 1020.0 1074.0 1069.0\n",
+ "38 1001.0 966.0 1049.0 946.0 1071.0 952.0\n",
+ "39 1010.0 1009.0 1056.0 1015.0 1142.0 933.0\n",
+ "40 1008.0 1072.0 1016.0 1042.0 1051.0 1195.0\n",
+ "41 1028.0 1009.0 1133.0 1081.0 1143.0 1071.0\n",
+ "42 989.0 1070.0 1067.0 1031.0 1153.0 1131.0\n",
+ "43 981.0 1052.0 1095.0 1019.0 1115.0 1187.0\n",
+ "44 1116.0 1032.0 1062.0 1085.0 1101.0 1262.0\n",
+ "45 1028.0 1043.0 1126.0 1144.0 1184.0 1250.0\n",
+ "46 1103.0 1174.0 1175.0 1084.0 1160.0 1138.0\n",
+ "47 1054.0 1132.0 1178.0 1058.0 1229.0 1360.0\n",
+ "48 1115.0 1159.0 1153.0 1062.0 1163.0 1328.0\n",
+ "49 1089.0 1188.0 1237.0 1076.0 1108.0 1296.0\n",
+ "50 1101.0 1219.0 1335.0 1212.0 1312.0 1284.0\n",
+ "51 1146.0 1284.0 1437.0 1216.0 1277.0 1297.0\n",
+ "52 944.0 1133.0 1168.0 1058.0 1000.0 1205.0\n",
+ "53 1018.0 NaN NaN NaN NaN 1178.0"
+ ]
+ },
+ "execution_count": 571,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "deaths_headlines_s = res.DataFrame().pivot(index='week', columns='year', values='deaths')\n",
+ "deaths_headlines_s"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 572,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " * postgresql://covid:***@localhost/covid\n",
+ "314 rows affected.\n",
+ "Returning data to local variable res\n"
+ ]
+ }
+ ],
+ "source": [
+ "%%sql res << select week, year, deaths\n",
+ "from all_causes_deaths\n",
+ "where nation = 'Wales'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 573,
+ "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>year</th>\n",
+ " <th>2015</th>\n",
+ " <th>2016</th>\n",
+ " <th>2017</th>\n",
+ " <th>2018</th>\n",
+ " <th>2019</th>\n",
+ " <th>2020</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>week</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>725.0</td>\n",
+ " <td>809.0</td>\n",
+ " <td>744.0</td>\n",
+ " <td>783.0</td>\n",
+ " <td>718.0</td>\n",
+ " <td>787.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>1031.0</td>\n",
+ " <td>711.0</td>\n",
+ " <td>825.0</td>\n",
+ " <td>904.0</td>\n",
+ " <td>809.0</td>\n",
+ " <td>939.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>936.0</td>\n",
+ " <td>720.0</td>\n",
+ " <td>835.0</td>\n",
+ " <td>885.0</td>\n",
+ " <td>683.0</td>\n",
+ " <td>767.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>828.0</td>\n",
+ " <td>717.0</td>\n",
+ " <td>881.0</td>\n",
+ " <td>850.0</td>\n",
+ " <td>734.0</td>\n",
+ " <td>723.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5</th>\n",
+ " <td>801.0</td>\n",
+ " <td>690.0</td>\n",
+ " <td>749.0</td>\n",
+ " <td>815.0</td>\n",
+ " <td>745.0</td>\n",
+ " <td>727.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6</th>\n",
+ " <td>720.0</td>\n",
+ " <td>700.0</td>\n",
+ " <td>723.0</td>\n",
+ " <td>801.0</td>\n",
+ " <td>701.0</td>\n",
+ " <td>690.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7</th>\n",
+ " <td>710.0</td>\n",
+ " <td>657.0</td>\n",
+ " <td>690.0</td>\n",
+ " <td>803.0</td>\n",
+ " <td>748.0</td>\n",
+ " <td>728.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8</th>\n",
+ " <td>739.0</td>\n",
+ " <td>696.0</td>\n",
+ " <td>701.0</td>\n",
+ " <td>789.0</td>\n",
+ " <td>695.0</td>\n",
+ " <td>679.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9</th>\n",
+ " <td>736.0</td>\n",
+ " <td>721.0</td>\n",
+ " <td>715.0</td>\n",
+ " <td>634.0</td>\n",
+ " <td>684.0</td>\n",
+ " <td>651.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>10</th>\n",
+ " <td>712.0</td>\n",
+ " <td>734.0</td>\n",
+ " <td>634.0</td>\n",
+ " <td>896.0</td>\n",
+ " <td>622.0</td>\n",
+ " <td>652.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>11</th>\n",
+ " <td>661.0</td>\n",
+ " <td>738.0</td>\n",
+ " <td>653.0</td>\n",
+ " <td>918.0</td>\n",
+ " <td>666.0</td>\n",
+ " <td>675.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>12</th>\n",
+ " <td>680.0</td>\n",
+ " <td>668.0</td>\n",
+ " <td>635.0</td>\n",
+ " <td>774.0</td>\n",
+ " <td>628.0</td>\n",
+ " <td>719.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>13</th>\n",
+ " <td>666.0</td>\n",
+ " <td>712.0</td>\n",
+ " <td>658.0</td>\n",
+ " <td>633.0</td>\n",
+ " <td>654.0</td>\n",
+ " <td>719.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>14</th>\n",
+ " <td>580.0</td>\n",
+ " <td>742.0</td>\n",
+ " <td>642.0</td>\n",
+ " <td>730.0</td>\n",
+ " <td>642.0</td>\n",
+ " <td>920.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15</th>\n",
+ " <td>660.0</td>\n",
+ " <td>738.0</td>\n",
+ " <td>577.0</td>\n",
+ " <td>743.0</td>\n",
+ " <td>637.0</td>\n",
+ " <td>928.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16</th>\n",
+ " <td>671.0</td>\n",
+ " <td>714.0</td>\n",
+ " <td>654.0</td>\n",
+ " <td>688.0</td>\n",
+ " <td>580.0</td>\n",
+ " <td>1169.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17</th>\n",
+ " <td>662.0</td>\n",
+ " <td>629.0</td>\n",
+ " <td>727.0</td>\n",
+ " <td>614.0</td>\n",
+ " <td>678.0</td>\n",
+ " <td>1124.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>18</th>\n",
+ " <td>628.0</td>\n",
+ " <td>569.0</td>\n",
+ " <td>600.0</td>\n",
+ " <td>633.0</td>\n",
+ " <td>688.0</td>\n",
+ " <td>929.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>19</th>\n",
+ " <td>589.0</td>\n",
+ " <td>652.0</td>\n",
+ " <td>687.0</td>\n",
+ " <td>530.0</td>\n",
+ " <td>600.0</td>\n",
+ " <td>692.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>20</th>\n",
+ " <td>622.0</td>\n",
+ " <td>611.0</td>\n",
+ " <td>615.0</td>\n",
+ " <td>667.0</td>\n",
+ " <td>658.0</td>\n",
+ " <td>772.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>21</th>\n",
+ " <td>614.0</td>\n",
+ " <td>624.0</td>\n",
+ " <td>602.0</td>\n",
+ " <td>603.0</td>\n",
+ " <td>627.0</td>\n",
+ " <td>692.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>22</th>\n",
+ " <td>588.0</td>\n",
+ " <td>500.0</td>\n",
+ " <td>586.0</td>\n",
+ " <td>538.0</td>\n",
+ " <td>518.0</td>\n",
+ " <td>587.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>23</th>\n",
+ " <td>648.0</td>\n",
+ " <td>584.0</td>\n",
+ " <td>584.0</td>\n",
+ " <td>607.0</td>\n",
+ " <td>626.0</td>\n",
+ " <td>700.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24</th>\n",
+ " <td>606.0</td>\n",
+ " <td>578.0</td>\n",
+ " <td>599.0</td>\n",
+ " <td>561.0</td>\n",
+ " <td>598.0</td>\n",
+ " <td>574.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>25</th>\n",
+ " <td>595.0</td>\n",
+ " <td>558.0</td>\n",
+ " <td>608.0</td>\n",
+ " <td>562.0</td>\n",
+ " <td>542.0</td>\n",
+ " <td>617.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>26</th>\n",
+ " <td>597.0</td>\n",
+ " <td>549.0</td>\n",
+ " <td>546.0</td>\n",
+ " <td>599.0</td>\n",
+ " <td>564.0</td>\n",
+ " <td>552.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>27</th>\n",
+ " <td>535.0</td>\n",
+ " <td>524.0</td>\n",
+ " <td>556.0</td>\n",
+ " <td>625.0</td>\n",
+ " <td>534.0</td>\n",
+ " <td>584.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>28</th>\n",
+ " <td>554.0</td>\n",
+ " <td>599.0</td>\n",
+ " <td>564.0</td>\n",
+ " <td>583.0</td>\n",
+ " <td>588.0</td>\n",
+ " <td>572.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>29</th>\n",
+ " <td>574.0</td>\n",
+ " <td>560.0</td>\n",
+ " <td>551.0</td>\n",
+ " <td>548.0</td>\n",
+ " <td>553.0</td>\n",
+ " <td>550.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>30</th>\n",
+ " <td>529.0</td>\n",
+ " <td>610.0</td>\n",
+ " <td>586.0</td>\n",
+ " <td>560.0</td>\n",
+ " <td>543.0</td>\n",
+ " <td>565.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>31</th>\n",
+ " <td>546.0</td>\n",
+ " <td>580.0</td>\n",
+ " <td>590.0</td>\n",
+ " <td>574.0</td>\n",
+ " <td>570.0</td>\n",
+ " <td>531.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>32</th>\n",
+ " <td>564.0</td>\n",
+ " <td>641.0</td>\n",
+ " <td>572.0</td>\n",
+ " <td>537.0</td>\n",
+ " <td>542.0</td>\n",
+ " <td>563.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>33</th>\n",
+ " <td>548.0</td>\n",
+ " <td>574.0</td>\n",
+ " <td>592.0</td>\n",
+ " <td>518.0</td>\n",
+ " <td>589.0</td>\n",
+ " <td>617.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>34</th>\n",
+ " <td>557.0</td>\n",
+ " <td>619.0</td>\n",
+ " <td>570.0</td>\n",
+ " <td>565.0</td>\n",
+ " <td>553.0</td>\n",
+ " <td>594.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>35</th>\n",
+ " <td>603.0</td>\n",
+ " <td>470.0</td>\n",
+ " <td>555.0</td>\n",
+ " <td>511.0</td>\n",
+ " <td>558.0</td>\n",
+ " <td>591.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>36</th>\n",
+ " <td>489.0</td>\n",
+ " <td>552.0</td>\n",
+ " <td>542.0</td>\n",
+ " <td>594.0</td>\n",
+ " <td>582.0</td>\n",
+ " <td>488.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>37</th>\n",
+ " <td>554.0</td>\n",
+ " <td>576.0</td>\n",
+ " <td>609.0</td>\n",
+ " <td>579.0</td>\n",
+ " <td>567.0</td>\n",
+ " <td>578.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>38</th>\n",
+ " <td>555.0</td>\n",
+ " <td>563.0</td>\n",
+ " <td>585.0</td>\n",
+ " <td>598.0</td>\n",
+ " <td>572.0</td>\n",
+ " <td>555.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>39</th>\n",
+ " <td>664.0</td>\n",
+ " <td>592.0</td>\n",
+ " <td>593.0</td>\n",
+ " <td>560.0</td>\n",
+ " <td>611.0</td>\n",
+ " <td>617.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>40</th>\n",
+ " <td>552.0</td>\n",
+ " <td>562.0</td>\n",
+ " <td>631.0</td>\n",
+ " <td>595.0</td>\n",
+ " <td>597.0</td>\n",
+ " <td>671.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>41</th>\n",
+ " <td>652.0</td>\n",
+ " <td>587.0</td>\n",
+ " <td>640.0</td>\n",
+ " <td>606.0</td>\n",
+ " <td>590.0</td>\n",
+ " <td>638.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>42</th>\n",
+ " <td>612.0</td>\n",
+ " <td>624.0</td>\n",
+ " <td>650.0</td>\n",
+ " <td>640.0</td>\n",
+ " <td>622.0</td>\n",
+ " <td>688.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>43</th>\n",
+ " <td>607.0</td>\n",
+ " <td>624.0</td>\n",
+ " <td>608.0</td>\n",
+ " <td>633.0</td>\n",
+ " <td>670.0</td>\n",
+ " <td>661.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>44</th>\n",
+ " <td>593.0</td>\n",
+ " <td>644.0</td>\n",
+ " <td>595.0</td>\n",
+ " <td>604.0</td>\n",
+ " <td>642.0</td>\n",
+ " <td>712.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>45</th>\n",
+ " <td>606.0</td>\n",
+ " <td>626.0</td>\n",
+ " <td>598.0</td>\n",
+ " <td>642.0</td>\n",
+ " <td>653.0</td>\n",
+ " <td>832.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>46</th>\n",
+ " <td>613.0</td>\n",
+ " <td>681.0</td>\n",
+ " <td>666.0</td>\n",
+ " <td>656.0</td>\n",
+ " <td>674.0</td>\n",
+ " <td>742.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>47</th>\n",
+ " <td>611.0</td>\n",
+ " <td>661.0</td>\n",
+ " <td>639.0</td>\n",
+ " <td>657.0</td>\n",
+ " <td>699.0</td>\n",
+ " <td>848.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>48</th>\n",
+ " <td>589.0</td>\n",
+ " <td>643.0</td>\n",
+ " <td>636.0</td>\n",
+ " <td>673.0</td>\n",
+ " <td>689.0</td>\n",
+ " <td>797.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>49</th>\n",
+ " <td>659.0</td>\n",
+ " <td>693.0</td>\n",
+ " <td>630.0</td>\n",
+ " <td>674.0</td>\n",
+ " <td>737.0</td>\n",
+ " <td>836.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50</th>\n",
+ " <td>688.0</td>\n",
+ " <td>663.0</td>\n",
+ " <td>708.0</td>\n",
+ " <td>708.0</td>\n",
+ " <td>699.0</td>\n",
+ " <td>814.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>51</th>\n",
+ " <td>646.0</td>\n",
+ " <td>691.0</td>\n",
+ " <td>762.0</td>\n",
+ " <td>724.0</td>\n",
+ " <td>767.0</td>\n",
+ " <td>882.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>52</th>\n",
+ " <td>535.0</td>\n",
+ " <td>558.0</td>\n",
+ " <td>541.0</td>\n",
+ " <td>461.0</td>\n",
+ " <td>496.0</td>\n",
+ " <td>825.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>53</th>\n",
+ " <td>516.0</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>727.0</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ "year 2015 2016 2017 2018 2019 2020\n",
+ "week \n",
+ "1 725.0 809.0 744.0 783.0 718.0 787.0\n",
+ "2 1031.0 711.0 825.0 904.0 809.0 939.0\n",
+ "3 936.0 720.0 835.0 885.0 683.0 767.0\n",
+ "4 828.0 717.0 881.0 850.0 734.0 723.0\n",
+ "5 801.0 690.0 749.0 815.0 745.0 727.0\n",
+ "6 720.0 700.0 723.0 801.0 701.0 690.0\n",
+ "7 710.0 657.0 690.0 803.0 748.0 728.0\n",
+ "8 739.0 696.0 701.0 789.0 695.0 679.0\n",
+ "9 736.0 721.0 715.0 634.0 684.0 651.0\n",
+ "10 712.0 734.0 634.0 896.0 622.0 652.0\n",
+ "11 661.0 738.0 653.0 918.0 666.0 675.0\n",
+ "12 680.0 668.0 635.0 774.0 628.0 719.0\n",
+ "13 666.0 712.0 658.0 633.0 654.0 719.0\n",
+ "14 580.0 742.0 642.0 730.0 642.0 920.0\n",
+ "15 660.0 738.0 577.0 743.0 637.0 928.0\n",
+ "16 671.0 714.0 654.0 688.0 580.0 1169.0\n",
+ "17 662.0 629.0 727.0 614.0 678.0 1124.0\n",
+ "18 628.0 569.0 600.0 633.0 688.0 929.0\n",
+ "19 589.0 652.0 687.0 530.0 600.0 692.0\n",
+ "20 622.0 611.0 615.0 667.0 658.0 772.0\n",
+ "21 614.0 624.0 602.0 603.0 627.0 692.0\n",
+ "22 588.0 500.0 586.0 538.0 518.0 587.0\n",
+ "23 648.0 584.0 584.0 607.0 626.0 700.0\n",
+ "24 606.0 578.0 599.0 561.0 598.0 574.0\n",
+ "25 595.0 558.0 608.0 562.0 542.0 617.0\n",
+ "26 597.0 549.0 546.0 599.0 564.0 552.0\n",
+ "27 535.0 524.0 556.0 625.0 534.0 584.0\n",
+ "28 554.0 599.0 564.0 583.0 588.0 572.0\n",
+ "29 574.0 560.0 551.0 548.0 553.0 550.0\n",
+ "30 529.0 610.0 586.0 560.0 543.0 565.0\n",
+ "31 546.0 580.0 590.0 574.0 570.0 531.0\n",
+ "32 564.0 641.0 572.0 537.0 542.0 563.0\n",
+ "33 548.0 574.0 592.0 518.0 589.0 617.0\n",
+ "34 557.0 619.0 570.0 565.0 553.0 594.0\n",
+ "35 603.0 470.0 555.0 511.0 558.0 591.0\n",
+ "36 489.0 552.0 542.0 594.0 582.0 488.0\n",
+ "37 554.0 576.0 609.0 579.0 567.0 578.0\n",
+ "38 555.0 563.0 585.0 598.0 572.0 555.0\n",
+ "39 664.0 592.0 593.0 560.0 611.0 617.0\n",
+ "40 552.0 562.0 631.0 595.0 597.0 671.0\n",
+ "41 652.0 587.0 640.0 606.0 590.0 638.0\n",
+ "42 612.0 624.0 650.0 640.0 622.0 688.0\n",
+ "43 607.0 624.0 608.0 633.0 670.0 661.0\n",
+ "44 593.0 644.0 595.0 604.0 642.0 712.0\n",
+ "45 606.0 626.0 598.0 642.0 653.0 832.0\n",
+ "46 613.0 681.0 666.0 656.0 674.0 742.0\n",
+ "47 611.0 661.0 639.0 657.0 699.0 848.0\n",
+ "48 589.0 643.0 636.0 673.0 689.0 797.0\n",
+ "49 659.0 693.0 630.0 674.0 737.0 836.0\n",
+ "50 688.0 663.0 708.0 708.0 699.0 814.0\n",
+ "51 646.0 691.0 762.0 724.0 767.0 882.0\n",
+ "52 535.0 558.0 541.0 461.0 496.0 825.0\n",
+ "53 516.0 NaN NaN NaN NaN 727.0"
+ ]
+ },
+ "execution_count": 573,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "deaths_headlines_w = res.DataFrame().pivot(index='week', columns='year', values='deaths')\n",
+ "deaths_headlines_w"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 574,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " * postgresql://covid:***@localhost/covid\n",
+ "314 rows affected.\n",
+ "Returning data to local variable res\n"
+ ]
+ }
+ ],
+ "source": [
+ "%%sql res << select week, year, deaths\n",
+ "from all_causes_deaths\n",
+ "where nation = 'Northern Ireland'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 575,
+ "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>year</th>\n",
+ " <th>2015</th>\n",
+ " <th>2016</th>\n",
+ " <th>2017</th>\n",
+ " <th>2018</th>\n",
+ " <th>2019</th>\n",
+ " <th>2020</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>week</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>319.0</td>\n",
+ " <td>424.0</td>\n",
+ " <td>416.0</td>\n",
+ " <td>447.0</td>\n",
+ " <td>365.0</td>\n",
+ " <td>353.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>373.0</td>\n",
+ " <td>348.0</td>\n",
+ " <td>434.0</td>\n",
+ " <td>481.0</td>\n",
+ " <td>371.0</td>\n",
+ " <td>395.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>383.0</td>\n",
+ " <td>372.0</td>\n",
+ " <td>397.0</td>\n",
+ " <td>470.0</td>\n",
+ " <td>332.0</td>\n",
+ " <td>411.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>397.0</td>\n",
+ " <td>355.0</td>\n",
+ " <td>387.0</td>\n",
+ " <td>426.0</td>\n",
+ " <td>335.0</td>\n",
+ " <td>347.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5</th>\n",
+ " <td>374.0</td>\n",
+ " <td>314.0</td>\n",
+ " <td>371.0</td>\n",
+ " <td>433.0</td>\n",
+ " <td>296.0</td>\n",
+ " <td>323.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6</th>\n",
+ " <td>347.0</td>\n",
+ " <td>310.0</td>\n",
+ " <td>336.0</td>\n",
+ " <td>351.0</td>\n",
+ " <td>319.0</td>\n",
+ " <td>332.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7</th>\n",
+ " <td>328.0</td>\n",
+ " <td>217.0</td>\n",
+ " <td>337.0</td>\n",
+ " <td>364.0</td>\n",
+ " <td>342.0</td>\n",
+ " <td>306.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8</th>\n",
+ " <td>317.0</td>\n",
+ " <td>423.0</td>\n",
+ " <td>351.0</td>\n",
+ " <td>366.0</td>\n",
+ " <td>337.0</td>\n",
+ " <td>297.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9</th>\n",
+ " <td>401.0</td>\n",
+ " <td>298.0</td>\n",
+ " <td>352.0</td>\n",
+ " <td>314.0</td>\n",
+ " <td>310.0</td>\n",
+ " <td>347.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>10</th>\n",
+ " <td>346.0</td>\n",
+ " <td>309.0</td>\n",
+ " <td>357.0</td>\n",
+ " <td>387.0</td>\n",
+ " <td>342.0</td>\n",
+ " <td>312.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>11</th>\n",
+ " <td>323.0</td>\n",
+ " <td>292.0</td>\n",
+ " <td>251.0</td>\n",
+ " <td>359.0</td>\n",
+ " <td>343.0</td>\n",
+ " <td>324.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>12</th>\n",
+ " <td>310.0</td>\n",
+ " <td>306.0</td>\n",
+ " <td>356.0</td>\n",
+ " <td>326.0</td>\n",
+ " <td>294.0</td>\n",
+ " <td>271.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>13</th>\n",
+ " <td>323.0</td>\n",
+ " <td>280.0</td>\n",
+ " <td>314.0</td>\n",
+ " <td>319.0</td>\n",
+ " <td>307.0</td>\n",
+ " <td>287.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>14</th>\n",
+ " <td>221.0</td>\n",
+ " <td>295.0</td>\n",
+ " <td>306.0</td>\n",
+ " <td>286.0</td>\n",
+ " <td>287.0</td>\n",
+ " <td>434.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15</th>\n",
+ " <td>294.0</td>\n",
+ " <td>292.0</td>\n",
+ " <td>270.0</td>\n",
+ " <td>350.0</td>\n",
+ " <td>301.0</td>\n",
+ " <td>435.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16</th>\n",
+ " <td>327.0</td>\n",
+ " <td>293.0</td>\n",
+ " <td>245.0</td>\n",
+ " <td>280.0</td>\n",
+ " <td>316.0</td>\n",
+ " <td>424.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17</th>\n",
+ " <td>316.0</td>\n",
+ " <td>306.0</td>\n",
+ " <td>327.0</td>\n",
+ " <td>282.0</td>\n",
+ " <td>272.0</td>\n",
+ " <td>470.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>18</th>\n",
+ " <td>335.0</td>\n",
+ " <td>258.0</td>\n",
+ " <td>258.0</td>\n",
+ " <td>292.0</td>\n",
+ " <td>357.0</td>\n",
+ " <td>427.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>19</th>\n",
+ " <td>256.0</td>\n",
+ " <td>318.0</td>\n",
+ " <td>302.0</td>\n",
+ " <td>230.0</td>\n",
+ " <td>288.0</td>\n",
+ " <td>336.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>20</th>\n",
+ " <td>299.0</td>\n",
+ " <td>259.0</td>\n",
+ " <td>315.0</td>\n",
+ " <td>268.0</td>\n",
+ " <td>330.0</td>\n",
+ " <td>396.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>21</th>\n",
+ " <td>290.0</td>\n",
+ " <td>280.0</td>\n",
+ " <td>328.0</td>\n",
+ " <td>268.0</td>\n",
+ " <td>308.0</td>\n",
+ " <td>325.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>22</th>\n",
+ " <td>258.0</td>\n",
+ " <td>284.0</td>\n",
+ " <td>256.0</td>\n",
+ " <td>252.0</td>\n",
+ " <td>245.0</td>\n",
+ " <td>316.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>23</th>\n",
+ " <td>340.0</td>\n",
+ " <td>275.0</td>\n",
+ " <td>292.0</td>\n",
+ " <td>276.0</td>\n",
+ " <td>279.0</td>\n",
+ " <td>304.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24</th>\n",
+ " <td>272.0</td>\n",
+ " <td>299.0</td>\n",
+ " <td>300.0</td>\n",
+ " <td>277.0</td>\n",
+ " <td>281.0</td>\n",
+ " <td>292.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>25</th>\n",
+ " <td>292.0</td>\n",
+ " <td>252.0</td>\n",
+ " <td>271.0</td>\n",
+ " <td>265.0</td>\n",
+ " <td>296.0</td>\n",
+ " <td>290.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>26</th>\n",
+ " <td>303.0</td>\n",
+ " <td>291.0</td>\n",
+ " <td>296.0</td>\n",
+ " <td>271.0</td>\n",
+ " <td>262.0</td>\n",
+ " <td>295.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>27</th>\n",
+ " <td>300.0</td>\n",
+ " <td>286.0</td>\n",
+ " <td>262.0</td>\n",
+ " <td>266.0</td>\n",
+ " <td>285.0</td>\n",
+ " <td>289.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>28</th>\n",
+ " <td>252.0</td>\n",
+ " <td>237.0</td>\n",
+ " <td>253.0</td>\n",
+ " <td>172.0</td>\n",
+ " <td>256.0</td>\n",
+ " <td>275.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>29</th>\n",
+ " <td>203.0</td>\n",
+ " <td>281.0</td>\n",
+ " <td>288.0</td>\n",
+ " <td>298.0</td>\n",
+ " <td>280.0</td>\n",
+ " <td>240.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>30</th>\n",
+ " <td>274.0</td>\n",
+ " <td>298.0</td>\n",
+ " <td>287.0</td>\n",
+ " <td>282.0</td>\n",
+ " <td>269.0</td>\n",
+ " <td>307.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>31</th>\n",
+ " <td>291.0</td>\n",
+ " <td>264.0</td>\n",
+ " <td>287.0</td>\n",
+ " <td>278.0</td>\n",
+ " <td>273.0</td>\n",
+ " <td>273.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>32</th>\n",
+ " <td>248.0</td>\n",
+ " <td>270.0</td>\n",
+ " <td>238.0</td>\n",
+ " <td>270.0</td>\n",
+ " <td>266.0</td>\n",
+ " <td>280.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>33</th>\n",
+ " <td>235.0</td>\n",
+ " <td>260.0</td>\n",
+ " <td>266.0</td>\n",
+ " <td>283.0</td>\n",
+ " <td>284.0</td>\n",
+ " <td>278.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>34</th>\n",
+ " <td>251.0</td>\n",
+ " <td>301.0</td>\n",
+ " <td>271.0</td>\n",
+ " <td>280.0</td>\n",
+ " <td>274.0</td>\n",
+ " <td>313.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>35</th>\n",
+ " <td>259.0</td>\n",
+ " <td>264.0</td>\n",
+ " <td>243.0</td>\n",
+ " <td>251.0</td>\n",
+ " <td>223.0</td>\n",
+ " <td>303.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>36</th>\n",
+ " <td>237.0</td>\n",
+ " <td>275.0</td>\n",
+ " <td>278.0</td>\n",
+ " <td>265.0</td>\n",
+ " <td>243.0</td>\n",
+ " <td>234.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>37</th>\n",
+ " <td>324.0</td>\n",
+ " <td>294.0</td>\n",
+ " <td>266.0</td>\n",
+ " <td>285.0</td>\n",
+ " <td>305.0</td>\n",
+ " <td>296.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>38</th>\n",
+ " <td>283.0</td>\n",
+ " <td>272.0</td>\n",
+ " <td>292.0</td>\n",
+ " <td>247.0</td>\n",
+ " <td>281.0</td>\n",
+ " <td>322.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>39</th>\n",
+ " <td>287.0</td>\n",
+ " <td>275.0</td>\n",
+ " <td>282.0</td>\n",
+ " <td>298.0</td>\n",
+ " <td>295.0</td>\n",
+ " <td>323.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>40</th>\n",
+ " <td>282.0</td>\n",
+ " <td>308.0</td>\n",
+ " <td>307.0</td>\n",
+ " <td>324.0</td>\n",
+ " <td>263.0</td>\n",
+ " <td>328.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>41</th>\n",
+ " <td>304.0</td>\n",
+ " <td>288.0</td>\n",
+ " <td>284.0</td>\n",
+ " <td>318.0</td>\n",
+ " <td>287.0</td>\n",
+ " <td>348.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>42</th>\n",
+ " <td>299.0</td>\n",
+ " <td>296.0</td>\n",
+ " <td>291.0</td>\n",
+ " <td>282.0</td>\n",
+ " <td>316.0</td>\n",
+ " <td>278.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>43</th>\n",
+ " <td>274.0</td>\n",
+ " <td>272.0</td>\n",
+ " <td>318.0</td>\n",
+ " <td>263.0</td>\n",
+ " <td>279.0</td>\n",
+ " <td>391.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>44</th>\n",
+ " <td>292.0</td>\n",
+ " <td>279.0</td>\n",
+ " <td>320.0</td>\n",
+ " <td>252.0</td>\n",
+ " <td>302.0</td>\n",
+ " <td>368.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>45</th>\n",
+ " <td>290.0</td>\n",
+ " <td>290.0</td>\n",
+ " <td>295.0</td>\n",
+ " <td>293.0</td>\n",
+ " <td>296.0</td>\n",
+ " <td>386.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>46</th>\n",
+ " <td>297.0</td>\n",
+ " <td>341.0</td>\n",
+ " <td>323.0</td>\n",
+ " <td>275.0</td>\n",
+ " <td>336.0</td>\n",
+ " <td>406.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>47</th>\n",
+ " <td>294.0</td>\n",
+ " <td>329.0</td>\n",
+ " <td>303.0</td>\n",
+ " <td>274.0</td>\n",
+ " <td>361.0</td>\n",
+ " <td>396.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>48</th>\n",
+ " <td>279.0</td>\n",
+ " <td>303.0</td>\n",
+ " <td>355.0</td>\n",
+ " <td>297.0</td>\n",
+ " <td>334.0</td>\n",
+ " <td>348.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>49</th>\n",
+ " <td>294.0</td>\n",
+ " <td>322.0</td>\n",
+ " <td>324.0</td>\n",
+ " <td>324.0</td>\n",
+ " <td>351.0</td>\n",
+ " <td>387.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50</th>\n",
+ " <td>343.0</td>\n",
+ " <td>324.0</td>\n",
+ " <td>372.0</td>\n",
+ " <td>316.0</td>\n",
+ " <td>353.0</td>\n",
+ " <td>366.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>51</th>\n",
+ " <td>301.0</td>\n",
+ " <td>360.0</td>\n",
+ " <td>354.0</td>\n",
+ " <td>317.0</td>\n",
+ " <td>363.0</td>\n",
+ " <td>350.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>52</th>\n",
+ " <td>232.0</td>\n",
+ " <td>199.0</td>\n",
+ " <td>249.0</td>\n",
+ " <td>195.0</td>\n",
+ " <td>194.0</td>\n",
+ " <td>310.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>53</th>\n",
+ " <td>232.0</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>333.0</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ "year 2015 2016 2017 2018 2019 2020\n",
+ "week \n",
+ "1 319.0 424.0 416.0 447.0 365.0 353.0\n",
+ "2 373.0 348.0 434.0 481.0 371.0 395.0\n",
+ "3 383.0 372.0 397.0 470.0 332.0 411.0\n",
+ "4 397.0 355.0 387.0 426.0 335.0 347.0\n",
+ "5 374.0 314.0 371.0 433.0 296.0 323.0\n",
+ "6 347.0 310.0 336.0 351.0 319.0 332.0\n",
+ "7 328.0 217.0 337.0 364.0 342.0 306.0\n",
+ "8 317.0 423.0 351.0 366.0 337.0 297.0\n",
+ "9 401.0 298.0 352.0 314.0 310.0 347.0\n",
+ "10 346.0 309.0 357.0 387.0 342.0 312.0\n",
+ "11 323.0 292.0 251.0 359.0 343.0 324.0\n",
+ "12 310.0 306.0 356.0 326.0 294.0 271.0\n",
+ "13 323.0 280.0 314.0 319.0 307.0 287.0\n",
+ "14 221.0 295.0 306.0 286.0 287.0 434.0\n",
+ "15 294.0 292.0 270.0 350.0 301.0 435.0\n",
+ "16 327.0 293.0 245.0 280.0 316.0 424.0\n",
+ "17 316.0 306.0 327.0 282.0 272.0 470.0\n",
+ "18 335.0 258.0 258.0 292.0 357.0 427.0\n",
+ "19 256.0 318.0 302.0 230.0 288.0 336.0\n",
+ "20 299.0 259.0 315.0 268.0 330.0 396.0\n",
+ "21 290.0 280.0 328.0 268.0 308.0 325.0\n",
+ "22 258.0 284.0 256.0 252.0 245.0 316.0\n",
+ "23 340.0 275.0 292.0 276.0 279.0 304.0\n",
+ "24 272.0 299.0 300.0 277.0 281.0 292.0\n",
+ "25 292.0 252.0 271.0 265.0 296.0 290.0\n",
+ "26 303.0 291.0 296.0 271.0 262.0 295.0\n",
+ "27 300.0 286.0 262.0 266.0 285.0 289.0\n",
+ "28 252.0 237.0 253.0 172.0 256.0 275.0\n",
+ "29 203.0 281.0 288.0 298.0 280.0 240.0\n",
+ "30 274.0 298.0 287.0 282.0 269.0 307.0\n",
+ "31 291.0 264.0 287.0 278.0 273.0 273.0\n",
+ "32 248.0 270.0 238.0 270.0 266.0 280.0\n",
+ "33 235.0 260.0 266.0 283.0 284.0 278.0\n",
+ "34 251.0 301.0 271.0 280.0 274.0 313.0\n",
+ "35 259.0 264.0 243.0 251.0 223.0 303.0\n",
+ "36 237.0 275.0 278.0 265.0 243.0 234.0\n",
+ "37 324.0 294.0 266.0 285.0 305.0 296.0\n",
+ "38 283.0 272.0 292.0 247.0 281.0 322.0\n",
+ "39 287.0 275.0 282.0 298.0 295.0 323.0\n",
+ "40 282.0 308.0 307.0 324.0 263.0 328.0\n",
+ "41 304.0 288.0 284.0 318.0 287.0 348.0\n",
+ "42 299.0 296.0 291.0 282.0 316.0 278.0\n",
+ "43 274.0 272.0 318.0 263.0 279.0 391.0\n",
+ "44 292.0 279.0 320.0 252.0 302.0 368.0\n",
+ "45 290.0 290.0 295.0 293.0 296.0 386.0\n",
+ "46 297.0 341.0 323.0 275.0 336.0 406.0\n",
+ "47 294.0 329.0 303.0 274.0 361.0 396.0\n",
+ "48 279.0 303.0 355.0 297.0 334.0 348.0\n",
+ "49 294.0 322.0 324.0 324.0 351.0 387.0\n",
+ "50 343.0 324.0 372.0 316.0 353.0 366.0\n",
+ "51 301.0 360.0 354.0 317.0 363.0 350.0\n",
+ "52 232.0 199.0 249.0 195.0 194.0 310.0\n",
+ "53 232.0 NaN NaN NaN NaN 333.0"
+ ]
+ },
+ "execution_count": 575,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "deaths_headlines_i = res.DataFrame().pivot(index='week', columns='year', values='deaths')\n",
+ "deaths_headlines_i"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 579,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "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",
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+ " }\n",
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+ " .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>year</th>\n",
+ " <th>2015</th>\n",
+ " <th>2016</th>\n",
+ " <th>2017</th>\n",
+ " <th>2018</th>\n",
+ " <th>2019</th>\n",
+ " <th>2020</th>\n",
+ " <th>previous_mean</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>week</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>13751.0</td>\n",
+ " <td>14863.0</td>\n",
+ " <td>13612.0</td>\n",
+ " <td>14701.0</td>\n",
+ " <td>12424.0</td>\n",
+ " <td>13768.0</td>\n",
+ " <td>13870.2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>18318.0</td>\n",
+ " <td>13154.0</td>\n",
+ " <td>15528.0</td>\n",
+ " <td>17430.0</td>\n",
+ " <td>14487.0</td>\n",
+ " <td>16020.0</td>\n",
+ " <td>15783.4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>16738.0</td>\n",
+ " <td>13060.0</td>\n",
+ " <td>15231.0</td>\n",
+ " <td>16355.0</td>\n",
+ " <td>13545.0</td>\n",
+ " <td>14723.0</td>\n",
+ " <td>14985.8</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>15712.0</td>\n",
+ " <td>12859.0</td>\n",
+ " <td>14461.0</td>\n",
+ " <td>15971.0</td>\n",
+ " <td>13283.0</td>\n",
+ " <td>13429.0</td>\n",
+ " <td>14457.2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5</th>\n",
+ " <td>14560.0</td>\n",
+ " <td>12571.0</td>\n",
+ " <td>14188.0</td>\n",
+ " <td>15087.0</td>\n",
+ " <td>12799.0</td>\n",
+ " <td>13123.0</td>\n",
+ " <td>13841.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6</th>\n",
+ " <td>13730.0</td>\n",
+ " <td>12697.0</td>\n",
+ " <td>13805.0</td>\n",
+ " <td>14111.0</td>\n",
+ " <td>13222.0</td>\n",
+ " <td>12534.0</td>\n",
+ " <td>13513.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7</th>\n",
+ " <td>13510.0</td>\n",
+ " <td>12016.0</td>\n",
+ " <td>13212.0</td>\n",
+ " <td>13925.0</td>\n",
+ " <td>13347.0</td>\n",
+ " <td>12412.0</td>\n",
+ " <td>13202.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8</th>\n",
+ " <td>13071.0</td>\n",
+ " <td>12718.0</td>\n",
+ " <td>13330.0</td>\n",
+ " <td>13753.0</td>\n",
+ " <td>12877.0</td>\n",
+ " <td>12300.0</td>\n",
+ " <td>13149.8</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9</th>\n",
+ " <td>13181.0</td>\n",
+ " <td>12733.0</td>\n",
+ " <td>12819.0</td>\n",
+ " <td>12190.0</td>\n",
+ " <td>12479.0</td>\n",
+ " <td>12334.0</td>\n",
+ " <td>12680.4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>10</th>\n",
+ " <td>13007.0</td>\n",
+ " <td>12493.0</td>\n",
+ " <td>12580.0</td>\n",
+ " <td>14859.0</td>\n",
+ " <td>12396.0</td>\n",
+ " <td>12415.0</td>\n",
+ " <td>13067.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>11</th>\n",
+ " <td>12475.0</td>\n",
+ " <td>12489.0</td>\n",
+ " <td>12089.0</td>\n",
+ " <td>14367.0</td>\n",
+ " <td>12018.0</td>\n",
+ " <td>12499.0</td>\n",
+ " <td>12687.6</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>12</th>\n",
+ " <td>12027.0</td>\n",
+ " <td>10983.0</td>\n",
+ " <td>11833.0</td>\n",
+ " <td>13397.0</td>\n",
+ " <td>11797.0</td>\n",
+ " <td>12112.0</td>\n",
+ " <td>12007.4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>13</th>\n",
+ " <td>11987.0</td>\n",
+ " <td>11738.0</td>\n",
+ " <td>11453.0</td>\n",
+ " <td>11310.0</td>\n",
+ " <td>11260.0</td>\n",
+ " <td>12507.0</td>\n",
+ " <td>11549.6</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>14</th>\n",
+ " <td>10325.0</td>\n",
+ " <td>13060.0</td>\n",
+ " <td>11305.0</td>\n",
+ " <td>12272.0</td>\n",
+ " <td>11445.0</td>\n",
+ " <td>18565.0</td>\n",
+ " <td>11681.4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15</th>\n",
+ " <td>11575.0</td>\n",
+ " <td>12757.0</td>\n",
+ " <td>9761.0</td>\n",
+ " <td>13843.0</td>\n",
+ " <td>11661.0</td>\n",
+ " <td>20929.0</td>\n",
+ " <td>11919.4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16</th>\n",
+ " <td>13061.0</td>\n",
+ " <td>12310.0</td>\n",
+ " <td>11000.0</td>\n",
+ " <td>12639.0</td>\n",
+ " <td>10243.0</td>\n",
+ " <td>24691.0</td>\n",
+ " <td>11850.6</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17</th>\n",
+ " <td>12023.0</td>\n",
+ " <td>11795.0</td>\n",
+ " <td>12356.0</td>\n",
+ " <td>11596.0</td>\n",
+ " <td>11452.0</td>\n",
+ " <td>24303.0</td>\n",
+ " <td>11844.4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>18</th>\n",
+ " <td>11586.0</td>\n",
+ " <td>10401.0</td>\n",
+ " <td>10372.0</td>\n",
+ " <td>11538.0</td>\n",
+ " <td>12695.0</td>\n",
+ " <td>20059.0</td>\n",
+ " <td>11318.4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>19</th>\n",
+ " <td>10138.0</td>\n",
+ " <td>12002.0</td>\n",
+ " <td>12114.0</td>\n",
+ " <td>9821.0</td>\n",
+ " <td>10361.0</td>\n",
+ " <td>14428.0</td>\n",
+ " <td>10887.2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>20</th>\n",
+ " <td>11692.0</td>\n",
+ " <td>11222.0</td>\n",
+ " <td>11718.0</td>\n",
+ " <td>11386.0</td>\n",
+ " <td>11717.0</td>\n",
+ " <td>16390.0</td>\n",
+ " <td>11547.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>21</th>\n",
+ " <td>11334.0</td>\n",
+ " <td>11013.0</td>\n",
+ " <td>11431.0</td>\n",
+ " <td>10974.0</td>\n",
+ " <td>11653.0</td>\n",
+ " <td>13839.0</td>\n",
+ " <td>11281.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>22</th>\n",
+ " <td>9514.0</td>\n",
+ " <td>9192.0</td>\n",
+ " <td>9603.0</td>\n",
+ " <td>9397.0</td>\n",
+ " <td>9534.0</td>\n",
+ " <td>11265.0</td>\n",
+ " <td>9448.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>23</th>\n",
+ " <td>11603.0</td>\n",
+ " <td>11171.0</td>\n",
+ " <td>11134.0</td>\n",
+ " <td>11259.0</td>\n",
+ " <td>11461.0</td>\n",
+ " <td>12106.0</td>\n",
+ " <td>11325.6</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24</th>\n",
+ " <td>10858.0</td>\n",
+ " <td>10673.0</td>\n",
+ " <td>10698.0</td>\n",
+ " <td>10535.0</td>\n",
+ " <td>10754.0</td>\n",
+ " <td>11302.0</td>\n",
+ " <td>10703.6</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>25</th>\n",
+ " <td>10629.0</td>\n",
+ " <td>10611.0</td>\n",
+ " <td>10930.0</td>\n",
+ " <td>10514.0</td>\n",
+ " <td>10807.0</td>\n",
+ " <td>10694.0</td>\n",
+ " <td>10698.2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>26</th>\n",
+ " <td>10525.0</td>\n",
+ " <td>10526.0</td>\n",
+ " <td>10624.0</td>\n",
+ " <td>10529.0</td>\n",
+ " <td>10824.0</td>\n",
+ " <td>10282.0</td>\n",
+ " <td>10605.6</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>27</th>\n",
+ " <td>10545.0</td>\n",
+ " <td>10412.0</td>\n",
+ " <td>10565.0</td>\n",
+ " <td>10565.0</td>\n",
+ " <td>10328.0</td>\n",
+ " <td>10412.0</td>\n",
+ " <td>10483.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>28</th>\n",
+ " <td>10278.0</td>\n",
+ " <td>10647.0</td>\n",
+ " <td>10643.0</td>\n",
+ " <td>10467.0</td>\n",
+ " <td>10512.0</td>\n",
+ " <td>9941.0</td>\n",
+ " <td>10509.4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>29</th>\n",
+ " <td>10028.0</td>\n",
+ " <td>10672.0</td>\n",
+ " <td>10426.0</td>\n",
+ " <td>10353.0</td>\n",
+ " <td>10324.0</td>\n",
+ " <td>10096.0</td>\n",
+ " <td>10360.6</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>30</th>\n",
+ " <td>10021.0</td>\n",
+ " <td>10612.0</td>\n",
+ " <td>10147.0</td>\n",
+ " <td>10356.0</td>\n",
+ " <td>10422.0</td>\n",
+ " <td>10159.0</td>\n",
+ " <td>10311.6</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>31</th>\n",
+ " <td>9893.0</td>\n",
+ " <td>10433.0</td>\n",
+ " <td>10239.0</td>\n",
+ " <td>10408.0</td>\n",
+ " <td>10564.0</td>\n",
+ " <td>10262.0</td>\n",
+ " <td>10307.4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>32</th>\n",
+ " <td>10153.0</td>\n",
+ " <td>10439.0</td>\n",
+ " <td>10278.0</td>\n",
+ " <td>10542.0</td>\n",
+ " <td>10406.0</td>\n",
+ " <td>10236.0</td>\n",
+ " <td>10363.6</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>33</th>\n",
+ " <td>10352.0</td>\n",
+ " <td>10312.0</td>\n",
+ " <td>10569.0</td>\n",
+ " <td>10091.0</td>\n",
+ " <td>10405.0</td>\n",
+ " <td>10592.0</td>\n",
+ " <td>10345.8</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>34</th>\n",
+ " <td>10354.0</td>\n",
+ " <td>10637.0</td>\n",
+ " <td>10698.0</td>\n",
+ " <td>10199.0</td>\n",
+ " <td>10279.0</td>\n",
+ " <td>10990.0</td>\n",
+ " <td>10433.4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>35</th>\n",
+ " <td>10239.0</td>\n",
+ " <td>9226.0</td>\n",
+ " <td>9372.0</td>\n",
+ " <td>9046.0</td>\n",
+ " <td>9478.0</td>\n",
+ " <td>10364.0</td>\n",
+ " <td>9472.2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>36</th>\n",
+ " <td>9092.0</td>\n",
+ " <td>10681.0</td>\n",
+ " <td>10781.0</td>\n",
+ " <td>10680.0</td>\n",
+ " <td>10918.0</td>\n",
+ " <td>9023.0</td>\n",
+ " <td>10430.4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>37</th>\n",
+ " <td>10573.0</td>\n",
+ " <td>10401.0</td>\n",
+ " <td>10692.0</td>\n",
+ " <td>10496.0</td>\n",
+ " <td>10892.0</td>\n",
+ " <td>11176.0</td>\n",
+ " <td>10610.8</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>38</th>\n",
+ " <td>10381.0</td>\n",
+ " <td>10183.0</td>\n",
+ " <td>10875.0</td>\n",
+ " <td>10498.0</td>\n",
+ " <td>10792.0</td>\n",
+ " <td>10797.0</td>\n",
+ " <td>10545.8</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>39</th>\n",
+ " <td>10826.0</td>\n",
+ " <td>10278.0</td>\n",
+ " <td>11027.0</td>\n",
+ " <td>10463.0</td>\n",
+ " <td>10954.0</td>\n",
+ " <td>10890.0</td>\n",
+ " <td>10709.6</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>40</th>\n",
+ " <td>10700.0</td>\n",
+ " <td>10671.0</td>\n",
+ " <td>11101.0</td>\n",
+ " <td>10869.0</td>\n",
+ " <td>11113.0</td>\n",
+ " <td>11468.0</td>\n",
+ " <td>10890.8</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>41</th>\n",
+ " <td>11108.0</td>\n",
+ " <td>11016.0</td>\n",
+ " <td>11357.0</td>\n",
+ " <td>11048.0</td>\n",
+ " <td>11403.0</td>\n",
+ " <td>11373.0</td>\n",
+ " <td>11186.4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>42</th>\n",
+ " <td>10799.0</td>\n",
+ " <td>11134.0</td>\n",
+ " <td>11389.0</td>\n",
+ " <td>11177.0</td>\n",
+ " <td>11625.0</td>\n",
+ " <td>11943.0</td>\n",
+ " <td>11224.8</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>43</th>\n",
+ " <td>10966.0</td>\n",
+ " <td>11048.0</td>\n",
+ " <td>11152.0</td>\n",
+ " <td>10885.0</td>\n",
+ " <td>11415.0</td>\n",
+ " <td>12317.0</td>\n",
+ " <td>11093.2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>44</th>\n",
+ " <td>11026.0</td>\n",
+ " <td>11463.0</td>\n",
+ " <td>11366.0</td>\n",
+ " <td>10866.0</td>\n",
+ " <td>11567.0</td>\n",
+ " <td>12517.0</td>\n",
+ " <td>11257.6</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>45</th>\n",
+ " <td>11312.0</td>\n",
+ " <td>11803.0</td>\n",
+ " <td>11767.0</td>\n",
+ " <td>11588.0</td>\n",
+ " <td>12177.0</td>\n",
+ " <td>13448.0</td>\n",
+ " <td>11729.4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>46</th>\n",
+ " <td>11338.0</td>\n",
+ " <td>12209.0</td>\n",
+ " <td>11773.0</td>\n",
+ " <td>11552.0</td>\n",
+ " <td>12146.0</td>\n",
+ " <td>13798.0</td>\n",
+ " <td>11803.6</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>47</th>\n",
+ " <td>11178.0</td>\n",
+ " <td>12064.0</td>\n",
+ " <td>12102.0</td>\n",
+ " <td>11289.0</td>\n",
+ " <td>12472.0</td>\n",
+ " <td>14291.0</td>\n",
+ " <td>11821.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>48</th>\n",
+ " <td>11216.0</td>\n",
+ " <td>11901.0</td>\n",
+ " <td>12046.0</td>\n",
+ " <td>11392.0</td>\n",
+ " <td>12455.0</td>\n",
+ " <td>14132.0</td>\n",
+ " <td>11802.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>49</th>\n",
+ " <td>11748.0</td>\n",
+ " <td>12733.0</td>\n",
+ " <td>12342.0</td>\n",
+ " <td>11687.0</td>\n",
+ " <td>12275.0</td>\n",
+ " <td>13986.0</td>\n",
+ " <td>12157.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50</th>\n",
+ " <td>11713.0</td>\n",
+ " <td>12076.0</td>\n",
+ " <td>12924.0</td>\n",
+ " <td>12078.0</td>\n",
+ " <td>12853.0</td>\n",
+ " <td>13942.0</td>\n",
+ " <td>12328.8</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>51</th>\n",
+ " <td>12136.0</td>\n",
+ " <td>13137.0</td>\n",
+ " <td>14308.0</td>\n",
+ " <td>12649.0</td>\n",
+ " <td>13566.0</td>\n",
+ " <td>14658.0</td>\n",
+ " <td>13159.2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>52</th>\n",
+ " <td>9806.0</td>\n",
+ " <td>9335.0</td>\n",
+ " <td>9904.0</td>\n",
+ " <td>8384.0</td>\n",
+ " <td>8727.0</td>\n",
+ " <td>13035.0</td>\n",
+ " <td>9231.2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>53</th>\n",
+ " <td>8774.0</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11580.0</td>\n",
+ " <td>8774.0</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ "year 2015 2016 2017 2018 2019 2020 previous_mean\n",
+ "week \n",
+ "1 13751.0 14863.0 13612.0 14701.0 12424.0 13768.0 13870.2\n",
+ "2 18318.0 13154.0 15528.0 17430.0 14487.0 16020.0 15783.4\n",
+ "3 16738.0 13060.0 15231.0 16355.0 13545.0 14723.0 14985.8\n",
+ "4 15712.0 12859.0 14461.0 15971.0 13283.0 13429.0 14457.2\n",
+ "5 14560.0 12571.0 14188.0 15087.0 12799.0 13123.0 13841.0\n",
+ "6 13730.0 12697.0 13805.0 14111.0 13222.0 12534.0 13513.0\n",
+ "7 13510.0 12016.0 13212.0 13925.0 13347.0 12412.0 13202.0\n",
+ "8 13071.0 12718.0 13330.0 13753.0 12877.0 12300.0 13149.8\n",
+ "9 13181.0 12733.0 12819.0 12190.0 12479.0 12334.0 12680.4\n",
+ "10 13007.0 12493.0 12580.0 14859.0 12396.0 12415.0 13067.0\n",
+ "11 12475.0 12489.0 12089.0 14367.0 12018.0 12499.0 12687.6\n",
+ "12 12027.0 10983.0 11833.0 13397.0 11797.0 12112.0 12007.4\n",
+ "13 11987.0 11738.0 11453.0 11310.0 11260.0 12507.0 11549.6\n",
+ "14 10325.0 13060.0 11305.0 12272.0 11445.0 18565.0 11681.4\n",
+ "15 11575.0 12757.0 9761.0 13843.0 11661.0 20929.0 11919.4\n",
+ "16 13061.0 12310.0 11000.0 12639.0 10243.0 24691.0 11850.6\n",
+ "17 12023.0 11795.0 12356.0 11596.0 11452.0 24303.0 11844.4\n",
+ "18 11586.0 10401.0 10372.0 11538.0 12695.0 20059.0 11318.4\n",
+ "19 10138.0 12002.0 12114.0 9821.0 10361.0 14428.0 10887.2\n",
+ "20 11692.0 11222.0 11718.0 11386.0 11717.0 16390.0 11547.0\n",
+ "21 11334.0 11013.0 11431.0 10974.0 11653.0 13839.0 11281.0\n",
+ "22 9514.0 9192.0 9603.0 9397.0 9534.0 11265.0 9448.0\n",
+ "23 11603.0 11171.0 11134.0 11259.0 11461.0 12106.0 11325.6\n",
+ "24 10858.0 10673.0 10698.0 10535.0 10754.0 11302.0 10703.6\n",
+ "25 10629.0 10611.0 10930.0 10514.0 10807.0 10694.0 10698.2\n",
+ "26 10525.0 10526.0 10624.0 10529.0 10824.0 10282.0 10605.6\n",
+ "27 10545.0 10412.0 10565.0 10565.0 10328.0 10412.0 10483.0\n",
+ "28 10278.0 10647.0 10643.0 10467.0 10512.0 9941.0 10509.4\n",
+ "29 10028.0 10672.0 10426.0 10353.0 10324.0 10096.0 10360.6\n",
+ "30 10021.0 10612.0 10147.0 10356.0 10422.0 10159.0 10311.6\n",
+ "31 9893.0 10433.0 10239.0 10408.0 10564.0 10262.0 10307.4\n",
+ "32 10153.0 10439.0 10278.0 10542.0 10406.0 10236.0 10363.6\n",
+ "33 10352.0 10312.0 10569.0 10091.0 10405.0 10592.0 10345.8\n",
+ "34 10354.0 10637.0 10698.0 10199.0 10279.0 10990.0 10433.4\n",
+ "35 10239.0 9226.0 9372.0 9046.0 9478.0 10364.0 9472.2\n",
+ "36 9092.0 10681.0 10781.0 10680.0 10918.0 9023.0 10430.4\n",
+ "37 10573.0 10401.0 10692.0 10496.0 10892.0 11176.0 10610.8\n",
+ "38 10381.0 10183.0 10875.0 10498.0 10792.0 10797.0 10545.8\n",
+ "39 10826.0 10278.0 11027.0 10463.0 10954.0 10890.0 10709.6\n",
+ "40 10700.0 10671.0 11101.0 10869.0 11113.0 11468.0 10890.8\n",
+ "41 11108.0 11016.0 11357.0 11048.0 11403.0 11373.0 11186.4\n",
+ "42 10799.0 11134.0 11389.0 11177.0 11625.0 11943.0 11224.8\n",
+ "43 10966.0 11048.0 11152.0 10885.0 11415.0 12317.0 11093.2\n",
+ "44 11026.0 11463.0 11366.0 10866.0 11567.0 12517.0 11257.6\n",
+ "45 11312.0 11803.0 11767.0 11588.0 12177.0 13448.0 11729.4\n",
+ "46 11338.0 12209.0 11773.0 11552.0 12146.0 13798.0 11803.6\n",
+ "47 11178.0 12064.0 12102.0 11289.0 12472.0 14291.0 11821.0\n",
+ "48 11216.0 11901.0 12046.0 11392.0 12455.0 14132.0 11802.0\n",
+ "49 11748.0 12733.0 12342.0 11687.0 12275.0 13986.0 12157.0\n",
+ "50 11713.0 12076.0 12924.0 12078.0 12853.0 13942.0 12328.8\n",
+ "51 12136.0 13137.0 14308.0 12649.0 13566.0 14658.0 13159.2\n",
+ "52 9806.0 9335.0 9904.0 8384.0 8727.0 13035.0 9231.2\n",
+ "53 8774.0 NaN NaN NaN NaN 11580.0 8774.0"
+ ]
+ },
+ "execution_count": 579,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "deaths_headlines = deaths_headlines_e + deaths_headlines_w + deaths_headlines_i + deaths_headlines_s\n",
+ "deaths_headlines"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 577,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Int64Index([2015, 2016, 2017, 2018, 2019, 2020], dtype='int64', name='year')"
+ ]
+ },
+ "execution_count": 577,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "deaths_headlines_e.columns"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 578,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
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+ " .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>year</th>\n",
+ " <th>2015</th>\n",
+ " <th>2016</th>\n",
+ " <th>2017</th>\n",
+ " <th>2018</th>\n",
+ " <th>2019</th>\n",
+ " <th>2020</th>\n",
+ " <th>previous_mean</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>week</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>13751.0</td>\n",
+ " <td>14863.0</td>\n",
+ " <td>13612.0</td>\n",
+ " <td>14701.0</td>\n",
+ " <td>12424.0</td>\n",
+ " <td>13768.0</td>\n",
+ " <td>13870.2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>18318.0</td>\n",
+ " <td>13154.0</td>\n",
+ " <td>15528.0</td>\n",
+ " <td>17430.0</td>\n",
+ " <td>14487.0</td>\n",
+ " <td>16020.0</td>\n",
+ " <td>15783.4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>16738.0</td>\n",
+ " <td>13060.0</td>\n",
+ " <td>15231.0</td>\n",
+ " <td>16355.0</td>\n",
+ " <td>13545.0</td>\n",
+ " <td>14723.0</td>\n",
+ " <td>14985.8</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>15712.0</td>\n",
+ " <td>12859.0</td>\n",
+ " <td>14461.0</td>\n",
+ " <td>15971.0</td>\n",
+ " <td>13283.0</td>\n",
+ " <td>13429.0</td>\n",
+ " <td>14457.2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5</th>\n",
+ " <td>14560.0</td>\n",
+ " <td>12571.0</td>\n",
+ " <td>14188.0</td>\n",
+ " <td>15087.0</td>\n",
+ " <td>12799.0</td>\n",
+ " <td>13123.0</td>\n",
+ " <td>13841.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6</th>\n",
+ " <td>13730.0</td>\n",
+ " <td>12697.0</td>\n",
+ " <td>13805.0</td>\n",
+ " <td>14111.0</td>\n",
+ " <td>13222.0</td>\n",
+ " <td>12534.0</td>\n",
+ " <td>13513.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7</th>\n",
+ " <td>13510.0</td>\n",
+ " <td>12016.0</td>\n",
+ " <td>13212.0</td>\n",
+ " <td>13925.0</td>\n",
+ " <td>13347.0</td>\n",
+ " <td>12412.0</td>\n",
+ " <td>13202.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8</th>\n",
+ " <td>13071.0</td>\n",
+ " <td>12718.0</td>\n",
+ " <td>13330.0</td>\n",
+ " <td>13753.0</td>\n",
+ " <td>12877.0</td>\n",
+ " <td>12300.0</td>\n",
+ " <td>13149.8</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9</th>\n",
+ " <td>13181.0</td>\n",
+ " <td>12733.0</td>\n",
+ " <td>12819.0</td>\n",
+ " <td>12190.0</td>\n",
+ " <td>12479.0</td>\n",
+ " <td>12334.0</td>\n",
+ " <td>12680.4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>10</th>\n",
+ " <td>13007.0</td>\n",
+ " <td>12493.0</td>\n",
+ " <td>12580.0</td>\n",
+ " <td>14859.0</td>\n",
+ " <td>12396.0</td>\n",
+ " <td>12415.0</td>\n",
+ " <td>13067.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>11</th>\n",
+ " <td>12475.0</td>\n",
+ " <td>12489.0</td>\n",
+ " <td>12089.0</td>\n",
+ " <td>14367.0</td>\n",
+ " <td>12018.0</td>\n",
+ " <td>12499.0</td>\n",
+ " <td>12687.6</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>12</th>\n",
+ " <td>12027.0</td>\n",
+ " <td>10983.0</td>\n",
+ " <td>11833.0</td>\n",
+ " <td>13397.0</td>\n",
+ " <td>11797.0</td>\n",
+ " <td>12112.0</td>\n",
+ " <td>12007.4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>13</th>\n",
+ " <td>11987.0</td>\n",
+ " <td>11738.0</td>\n",
+ " <td>11453.0</td>\n",
+ " <td>11310.0</td>\n",
+ " <td>11260.0</td>\n",
+ " <td>12507.0</td>\n",
+ " <td>11549.6</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>14</th>\n",
+ " <td>10325.0</td>\n",
+ " <td>13060.0</td>\n",
+ " <td>11305.0</td>\n",
+ " <td>12272.0</td>\n",
+ " <td>11445.0</td>\n",
+ " <td>18565.0</td>\n",
+ " <td>11681.4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15</th>\n",
+ " <td>11575.0</td>\n",
+ " <td>12757.0</td>\n",
+ " <td>9761.0</td>\n",
+ " <td>13843.0</td>\n",
+ " <td>11661.0</td>\n",
+ " <td>20929.0</td>\n",
+ " <td>11919.4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16</th>\n",
+ " <td>13061.0</td>\n",
+ " <td>12310.0</td>\n",
+ " <td>11000.0</td>\n",
+ " <td>12639.0</td>\n",
+ " <td>10243.0</td>\n",
+ " <td>24691.0</td>\n",
+ " <td>11850.6</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17</th>\n",
+ " <td>12023.0</td>\n",
+ " <td>11795.0</td>\n",
+ " <td>12356.0</td>\n",
+ " <td>11596.0</td>\n",
+ " <td>11452.0</td>\n",
+ " <td>24303.0</td>\n",
+ " <td>11844.4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>18</th>\n",
+ " <td>11586.0</td>\n",
+ " <td>10401.0</td>\n",
+ " <td>10372.0</td>\n",
+ " <td>11538.0</td>\n",
+ " <td>12695.0</td>\n",
+ " <td>20059.0</td>\n",
+ " <td>11318.4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>19</th>\n",
+ " <td>10138.0</td>\n",
+ " <td>12002.0</td>\n",
+ " <td>12114.0</td>\n",
+ " <td>9821.0</td>\n",
+ " <td>10361.0</td>\n",
+ " <td>14428.0</td>\n",
+ " <td>10887.2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>20</th>\n",
+ " <td>11692.0</td>\n",
+ " <td>11222.0</td>\n",
+ " <td>11718.0</td>\n",
+ " <td>11386.0</td>\n",
+ " <td>11717.0</td>\n",
+ " <td>16390.0</td>\n",
+ " <td>11547.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>21</th>\n",
+ " <td>11334.0</td>\n",
+ " <td>11013.0</td>\n",
+ " <td>11431.0</td>\n",
+ " <td>10974.0</td>\n",
+ " <td>11653.0</td>\n",
+ " <td>13839.0</td>\n",
+ " <td>11281.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>22</th>\n",
+ " <td>9514.0</td>\n",
+ " <td>9192.0</td>\n",
+ " <td>9603.0</td>\n",
+ " <td>9397.0</td>\n",
+ " <td>9534.0</td>\n",
+ " <td>11265.0</td>\n",
+ " <td>9448.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>23</th>\n",
+ " <td>11603.0</td>\n",
+ " <td>11171.0</td>\n",
+ " <td>11134.0</td>\n",
+ " <td>11259.0</td>\n",
+ " <td>11461.0</td>\n",
+ " <td>12106.0</td>\n",
+ " <td>11325.6</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24</th>\n",
+ " <td>10858.0</td>\n",
+ " <td>10673.0</td>\n",
+ " <td>10698.0</td>\n",
+ " <td>10535.0</td>\n",
+ " <td>10754.0</td>\n",
+ " <td>11302.0</td>\n",
+ " <td>10703.6</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>25</th>\n",
+ " <td>10629.0</td>\n",
+ " <td>10611.0</td>\n",
+ " <td>10930.0</td>\n",
+ " <td>10514.0</td>\n",
+ " <td>10807.0</td>\n",
+ " <td>10694.0</td>\n",
+ " <td>10698.2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>26</th>\n",
+ " <td>10525.0</td>\n",
+ " <td>10526.0</td>\n",
+ " <td>10624.0</td>\n",
+ " <td>10529.0</td>\n",
+ " <td>10824.0</td>\n",
+ " <td>10282.0</td>\n",
+ " <td>10605.6</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>27</th>\n",
+ " <td>10545.0</td>\n",
+ " <td>10412.0</td>\n",
+ " <td>10565.0</td>\n",
+ " <td>10565.0</td>\n",
+ " <td>10328.0</td>\n",
+ " <td>10412.0</td>\n",
+ " <td>10483.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>28</th>\n",
+ " <td>10278.0</td>\n",
+ " <td>10647.0</td>\n",
+ " <td>10643.0</td>\n",
+ " <td>10467.0</td>\n",
+ " <td>10512.0</td>\n",
+ " <td>9941.0</td>\n",
+ " <td>10509.4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>29</th>\n",
+ " <td>10028.0</td>\n",
+ " <td>10672.0</td>\n",
+ " <td>10426.0</td>\n",
+ " <td>10353.0</td>\n",
+ " <td>10324.0</td>\n",
+ " <td>10096.0</td>\n",
+ " <td>10360.6</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>30</th>\n",
+ " <td>10021.0</td>\n",
+ " <td>10612.0</td>\n",
+ " <td>10147.0</td>\n",
+ " <td>10356.0</td>\n",
+ " <td>10422.0</td>\n",
+ " <td>10159.0</td>\n",
+ " <td>10311.6</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>31</th>\n",
+ " <td>9893.0</td>\n",
+ " <td>10433.0</td>\n",
+ " <td>10239.0</td>\n",
+ " <td>10408.0</td>\n",
+ " <td>10564.0</td>\n",
+ " <td>10262.0</td>\n",
+ " <td>10307.4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>32</th>\n",
+ " <td>10153.0</td>\n",
+ " <td>10439.0</td>\n",
+ " <td>10278.0</td>\n",
+ " <td>10542.0</td>\n",
+ " <td>10406.0</td>\n",
+ " <td>10236.0</td>\n",
+ " <td>10363.6</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>33</th>\n",
+ " <td>10352.0</td>\n",
+ " <td>10312.0</td>\n",
+ " <td>10569.0</td>\n",
+ " <td>10091.0</td>\n",
+ " <td>10405.0</td>\n",
+ " <td>10592.0</td>\n",
+ " <td>10345.8</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>34</th>\n",
+ " <td>10354.0</td>\n",
+ " <td>10637.0</td>\n",
+ " <td>10698.0</td>\n",
+ " <td>10199.0</td>\n",
+ " <td>10279.0</td>\n",
+ " <td>10990.0</td>\n",
+ " <td>10433.4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>35</th>\n",
+ " <td>10239.0</td>\n",
+ " <td>9226.0</td>\n",
+ " <td>9372.0</td>\n",
+ " <td>9046.0</td>\n",
+ " <td>9478.0</td>\n",
+ " <td>10364.0</td>\n",
+ " <td>9472.2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>36</th>\n",
+ " <td>9092.0</td>\n",
+ " <td>10681.0</td>\n",
+ " <td>10781.0</td>\n",
+ " <td>10680.0</td>\n",
+ " <td>10918.0</td>\n",
+ " <td>9023.0</td>\n",
+ " <td>10430.4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>37</th>\n",
+ " <td>10573.0</td>\n",
+ " <td>10401.0</td>\n",
+ " <td>10692.0</td>\n",
+ " <td>10496.0</td>\n",
+ " <td>10892.0</td>\n",
+ " <td>11176.0</td>\n",
+ " <td>10610.8</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>38</th>\n",
+ " <td>10381.0</td>\n",
+ " <td>10183.0</td>\n",
+ " <td>10875.0</td>\n",
+ " <td>10498.0</td>\n",
+ " <td>10792.0</td>\n",
+ " <td>10797.0</td>\n",
+ " <td>10545.8</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>39</th>\n",
+ " <td>10826.0</td>\n",
+ " <td>10278.0</td>\n",
+ " <td>11027.0</td>\n",
+ " <td>10463.0</td>\n",
+ " <td>10954.0</td>\n",
+ " <td>10890.0</td>\n",
+ " <td>10709.6</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>40</th>\n",
+ " <td>10700.0</td>\n",
+ " <td>10671.0</td>\n",
+ " <td>11101.0</td>\n",
+ " <td>10869.0</td>\n",
+ " <td>11113.0</td>\n",
+ " <td>11468.0</td>\n",
+ " <td>10890.8</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>41</th>\n",
+ " <td>11108.0</td>\n",
+ " <td>11016.0</td>\n",
+ " <td>11357.0</td>\n",
+ " <td>11048.0</td>\n",
+ " <td>11403.0</td>\n",
+ " <td>11373.0</td>\n",
+ " <td>11186.4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>42</th>\n",
+ " <td>10799.0</td>\n",
+ " <td>11134.0</td>\n",
+ " <td>11389.0</td>\n",
+ " <td>11177.0</td>\n",
+ " <td>11625.0</td>\n",
+ " <td>11943.0</td>\n",
+ " <td>11224.8</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>43</th>\n",
+ " <td>10966.0</td>\n",
+ " <td>11048.0</td>\n",
+ " <td>11152.0</td>\n",
+ " <td>10885.0</td>\n",
+ " <td>11415.0</td>\n",
+ " <td>12317.0</td>\n",
+ " <td>11093.2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>44</th>\n",
+ " <td>11026.0</td>\n",
+ " <td>11463.0</td>\n",
+ " <td>11366.0</td>\n",
+ " <td>10866.0</td>\n",
+ " <td>11567.0</td>\n",
+ " <td>12517.0</td>\n",
+ " <td>11257.6</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>45</th>\n",
+ " <td>11312.0</td>\n",
+ " <td>11803.0</td>\n",
+ " <td>11767.0</td>\n",
+ " <td>11588.0</td>\n",
+ " <td>12177.0</td>\n",
+ " <td>13448.0</td>\n",
+ " <td>11729.4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>46</th>\n",
+ " <td>11338.0</td>\n",
+ " <td>12209.0</td>\n",
+ " <td>11773.0</td>\n",
+ " <td>11552.0</td>\n",
+ " <td>12146.0</td>\n",
+ " <td>13798.0</td>\n",
+ " <td>11803.6</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>47</th>\n",
+ " <td>11178.0</td>\n",
+ " <td>12064.0</td>\n",
+ " <td>12102.0</td>\n",
+ " <td>11289.0</td>\n",
+ " <td>12472.0</td>\n",
+ " <td>14291.0</td>\n",
+ " <td>11821.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>48</th>\n",
+ " <td>11216.0</td>\n",
+ " <td>11901.0</td>\n",
+ " <td>12046.0</td>\n",
+ " <td>11392.0</td>\n",
+ " <td>12455.0</td>\n",
+ " <td>14132.0</td>\n",
+ " <td>11802.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>49</th>\n",
+ " <td>11748.0</td>\n",
+ " <td>12733.0</td>\n",
+ " <td>12342.0</td>\n",
+ " <td>11687.0</td>\n",
+ " <td>12275.0</td>\n",
+ " <td>13986.0</td>\n",
+ " <td>12157.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50</th>\n",
+ " <td>11713.0</td>\n",
+ " <td>12076.0</td>\n",
+ " <td>12924.0</td>\n",
+ " <td>12078.0</td>\n",
+ " <td>12853.0</td>\n",
+ " <td>13942.0</td>\n",
+ " <td>12328.8</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>51</th>\n",
+ " <td>12136.0</td>\n",
+ " <td>13137.0</td>\n",
+ " <td>14308.0</td>\n",
+ " <td>12649.0</td>\n",
+ " <td>13566.0</td>\n",
+ " <td>14658.0</td>\n",
+ " <td>13159.2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>52</th>\n",
+ " <td>9806.0</td>\n",
+ " <td>9335.0</td>\n",
+ " <td>9904.0</td>\n",
+ " <td>8384.0</td>\n",
+ " <td>8727.0</td>\n",
+ " <td>13035.0</td>\n",
+ " <td>9231.2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>53</th>\n",
+ " <td>8774.0</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11580.0</td>\n",
+ " <td>8774.0</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ "year 2015 2016 2017 2018 2019 2020 previous_mean\n",
+ "week \n",
+ "1 13751.0 14863.0 13612.0 14701.0 12424.0 13768.0 13870.2\n",
+ "2 18318.0 13154.0 15528.0 17430.0 14487.0 16020.0 15783.4\n",
+ "3 16738.0 13060.0 15231.0 16355.0 13545.0 14723.0 14985.8\n",
+ "4 15712.0 12859.0 14461.0 15971.0 13283.0 13429.0 14457.2\n",
+ "5 14560.0 12571.0 14188.0 15087.0 12799.0 13123.0 13841.0\n",
+ "6 13730.0 12697.0 13805.0 14111.0 13222.0 12534.0 13513.0\n",
+ "7 13510.0 12016.0 13212.0 13925.0 13347.0 12412.0 13202.0\n",
+ "8 13071.0 12718.0 13330.0 13753.0 12877.0 12300.0 13149.8\n",
+ "9 13181.0 12733.0 12819.0 12190.0 12479.0 12334.0 12680.4\n",
+ "10 13007.0 12493.0 12580.0 14859.0 12396.0 12415.0 13067.0\n",
+ "11 12475.0 12489.0 12089.0 14367.0 12018.0 12499.0 12687.6\n",
+ "12 12027.0 10983.0 11833.0 13397.0 11797.0 12112.0 12007.4\n",
+ "13 11987.0 11738.0 11453.0 11310.0 11260.0 12507.0 11549.6\n",
+ "14 10325.0 13060.0 11305.0 12272.0 11445.0 18565.0 11681.4\n",
+ "15 11575.0 12757.0 9761.0 13843.0 11661.0 20929.0 11919.4\n",
+ "16 13061.0 12310.0 11000.0 12639.0 10243.0 24691.0 11850.6\n",
+ "17 12023.0 11795.0 12356.0 11596.0 11452.0 24303.0 11844.4\n",
+ "18 11586.0 10401.0 10372.0 11538.0 12695.0 20059.0 11318.4\n",
+ "19 10138.0 12002.0 12114.0 9821.0 10361.0 14428.0 10887.2\n",
+ "20 11692.0 11222.0 11718.0 11386.0 11717.0 16390.0 11547.0\n",
+ "21 11334.0 11013.0 11431.0 10974.0 11653.0 13839.0 11281.0\n",
+ "22 9514.0 9192.0 9603.0 9397.0 9534.0 11265.0 9448.0\n",
+ "23 11603.0 11171.0 11134.0 11259.0 11461.0 12106.0 11325.6\n",
+ "24 10858.0 10673.0 10698.0 10535.0 10754.0 11302.0 10703.6\n",
+ "25 10629.0 10611.0 10930.0 10514.0 10807.0 10694.0 10698.2\n",
+ "26 10525.0 10526.0 10624.0 10529.0 10824.0 10282.0 10605.6\n",
+ "27 10545.0 10412.0 10565.0 10565.0 10328.0 10412.0 10483.0\n",
+ "28 10278.0 10647.0 10643.0 10467.0 10512.0 9941.0 10509.4\n",
+ "29 10028.0 10672.0 10426.0 10353.0 10324.0 10096.0 10360.6\n",
+ "30 10021.0 10612.0 10147.0 10356.0 10422.0 10159.0 10311.6\n",
+ "31 9893.0 10433.0 10239.0 10408.0 10564.0 10262.0 10307.4\n",
+ "32 10153.0 10439.0 10278.0 10542.0 10406.0 10236.0 10363.6\n",
+ "33 10352.0 10312.0 10569.0 10091.0 10405.0 10592.0 10345.8\n",
+ "34 10354.0 10637.0 10698.0 10199.0 10279.0 10990.0 10433.4\n",
+ "35 10239.0 9226.0 9372.0 9046.0 9478.0 10364.0 9472.2\n",
+ "36 9092.0 10681.0 10781.0 10680.0 10918.0 9023.0 10430.4\n",
+ "37 10573.0 10401.0 10692.0 10496.0 10892.0 11176.0 10610.8\n",
+ "38 10381.0 10183.0 10875.0 10498.0 10792.0 10797.0 10545.8\n",
+ "39 10826.0 10278.0 11027.0 10463.0 10954.0 10890.0 10709.6\n",
+ "40 10700.0 10671.0 11101.0 10869.0 11113.0 11468.0 10890.8\n",
+ "41 11108.0 11016.0 11357.0 11048.0 11403.0 11373.0 11186.4\n",
+ "42 10799.0 11134.0 11389.0 11177.0 11625.0 11943.0 11224.8\n",
+ "43 10966.0 11048.0 11152.0 10885.0 11415.0 12317.0 11093.2\n",
+ "44 11026.0 11463.0 11366.0 10866.0 11567.0 12517.0 11257.6\n",
+ "45 11312.0 11803.0 11767.0 11588.0 12177.0 13448.0 11729.4\n",
+ "46 11338.0 12209.0 11773.0 11552.0 12146.0 13798.0 11803.6\n",
+ "47 11178.0 12064.0 12102.0 11289.0 12472.0 14291.0 11821.0\n",
+ "48 11216.0 11901.0 12046.0 11392.0 12455.0 14132.0 11802.0\n",
+ "49 11748.0 12733.0 12342.0 11687.0 12275.0 13986.0 12157.0\n",
+ "50 11713.0 12076.0 12924.0 12078.0 12853.0 13942.0 12328.8\n",
+ "51 12136.0 13137.0 14308.0 12649.0 13566.0 14658.0 13159.2\n",
+ "52 9806.0 9335.0 9904.0 8384.0 8727.0 13035.0 9231.2\n",
+ "53 8774.0 NaN NaN NaN NaN 11580.0 8774.0"
+ ]
+ },
+ "execution_count": 578,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "deaths_headlines_e['previous_mean'] = deaths_headlines_e[[int(y) for y in '2019 2018 2017 2016 2015'.split()]].apply(np.mean, axis=1)\n",
+ "deaths_headlines_w['previous_mean'] = deaths_headlines_w[[int(y) for y in '2019 2018 2017 2016 2015'.split()]].apply(np.mean, axis=1)\n",
+ "deaths_headlines_s['previous_mean'] = deaths_headlines_s[[int(y) for y in '2019 2018 2017 2016 2015'.split()]].apply(np.mean, axis=1)\n",
+ "deaths_headlines_i['previous_mean'] = deaths_headlines_i[[int(y) for y in '2019 2018 2017 2016 2015'.split()]].apply(np.mean, axis=1)\n",
+ "deaths_headlines['previous_mean'] = deaths_headlines[[int(y) for y in '2019 2018 2017 2016 2015'.split()]].apply(np.mean, axis=1)\n",
+ "deaths_headlines"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 580,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<AxesSubplot:xlabel='week'>"
+ ]
+ },
+ "execution_count": 580,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 1008x576 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "deaths_headlines[[2020, 2019, 2018, 2017, 2016, 2015]].plot(figsize=(14, 8))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 581,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<AxesSubplot:xlabel='week'>"
+ ]
+ },
+ "execution_count": 581,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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Pen7cuHH88MMPZGRkALB//37Wr18PwIknnsjixYt55plnDluiBDj++ON599132b9/P0VFRbzzzjscd9xxdOzYkZycHHbv3k1paSkffvghAFVVVWzbto2TTjqJBx98sHrWqqn69etHbm5u9fsrLy9n1apVABQUFJCamkp5eTkvv/xyk1+joRSMibSAJs+MuYMxldkTkbZgwIABzJw5k6FDh7Jnzx5uuOGGg55PTk5mxowZXHzxxQwdOpRx48axdu1aAFwuF2eddRaffPIJZ5111mH3Puqoo7jqqqsYM2YMY8eO5ZprrmHEiBGEhIRw9913M3bsWM466yz69+8POMuIl112GUOGDGHEiBH85je/IT4+vsnvLTQ0lDfffJPbbruNYcOGMXz4cH788UcA7r33XsaOHcvEiROrX78lGX/9oT9q1Ci7cOFCXw9D5DAVlVX0vesTbjypN7ee2q9R1z71zUb+/slaVv75NKLDlEUg0l6tWbOGAQMG+HQMh+5qlIar7fMzxiyy1o6q7XzNjIl42e6iMqps48paeCS5WyLt0lKliEi7oT+9RbxsZxOq73vULPzaIynKq+MSEWmMHj16tPlZseeff57//Oc/Bx079thjeeyxx3w0oqZRMCbiZU2pvu9RHYxpZkxEpF4///nP+fnPf+7rYTSblilFvMxT8LVjI5qEe1QvU6olkki756853e1dUz43BWMiXpadX4IryJAY1fhgLCEqlCCjmTGR9i48PJzdu3crIPMz1lp2795NeHjjVka0TCniZTvzSkmJCcMVZOo/+RCuIEOiao2JtHtdunQhMzOT3NxcXw9FGik8PJwuXbo06hoFYyJelp1f0qTkfY+k6DAtU4q0cyEhIfTs2dPXw5BWomVKES9rasFXD/WnFBFpXxSMiXiZMzPW+Hwxj2QtU4qItCsKxkS8aH9ZBQUlFXSMa97M2K7CMiXuioi0EwrGRLzIU/C1OcuUSdGhlFVWkV9c4a1hiYhIG6ZgTMSLsvOd5cXm5owB5BaWeGVMIiLStikYE/EiT8HXFG8EYwVlXhmTiIi0bQrGRLyouhVSc3LGog/0pxQRkcCnYEzEi3bmlRAdFkx0WNNL+Kk/pYhI+6JgTMSLcgqaV9YCIC4ihBCXUeFXEZF2QsGYiBftzGte9X0AYwxJqjUmItJuKBgT8aLs/NJm7aT0UBV+EZH2Q8GYiJdUVVlnmbIZyfseqsIvItJ+KBgT8ZI9+8sor7R0jGlezhh4qvArGBMRaQ8UjIl4SXX1fS/MjCVFh7G7qIzKKrVEEhEJdArGRLzEU/C1uQn84MyMVVZZ9u5X4VcRkUCnYEzES6pbIXkjZ8y91KmlShGRwKdgTMRLduaXYIyzxNhcnnsoiV9EJPApGBPxkuy8EpKiwwhxNf//VqrCLyLSfigYE/GS7IISr9QYAy1Tioi0JwrGRLzEG9X3PaJCXYSHBGlmTESkHVAwJuIl2fnN70vpYYxRFX4RkXZCwZiIF5SUV7J3f7nXlinBqcK/q1ClLUREAp2CMREv8MxgeaMVkoeahYuItA8KxkS8YKe74KtXZ8ZiwshVAr+ISMBTMCbiBZ5WSN5K4AcnGNu7v4zyyiqv3VNERNoeBWMiXpDdQjNj1sKeIuWNiYgEMgVjIl6QnV9CeEgQsRHBXrunqvCLiLQP9QZjxpiuxpivjDFrjDGrjDE3u48/ZIxZa4xZbox5xxgTX+OaO4wxGcaYdcaY02ocH2mMWeF+7hFjjHEfDzPGvOY+Ps8Y08P7b1Wk5ezML6VjbDju/6S9QlX4RUTah4bMjFUAt1prBwDjgBuNMQOBWcBga+1QYD1wB4D7uanAIGAS8LgxxuW+1xPAdUAf99ck9/FpwF5rbW/gX8ADXnhvIq0m24sFXz2SPTNjSuIXEQlo9QZj1tosa+1i9+MCYA2QZq393Fpb4T5tLtDF/Xgy8Kq1ttRauxnIAMYYY1KBWGvtHGutBV4AptS4Zqb78ZvABOPNKQaRFubNVkgemhkTEWkfGpUz5l4+HAHMO+Spq4FP3I/TgG01nst0H0tzPz70+EHXuAO8PCCxMWMT8RVrLTvzSujkxRpjAOEhLmLCghWMiYgEuAYHY8aYaOAt4NfW2vwax+/EWcp82XOolsttHcfruubQMVxnjFlojFmYm5vb0KGLtKi84nJKK6pIifFOK6SakmPC1CxcRCTANSgYM8aE4ARiL1tr365x/ErgLOBS99IjODNeXWtc3gXY4T7epZbjB11jjAkG4oA9h47DWvu0tXaUtXZUcnJyQ4Yu0uKqC756eWYMVIVfRKQ9aMhuSgNMB9ZYax+ucXwScBtwtrV2f41L3gemundI9sRJ1J9vrc0CCowx49z3vAJ4r8Y1V7ofnw/MrhHcibRp2flOsOTtnDFQFX4RkfagIUWRjgUuB1YYY5a6j/0BeAQIA2a5c+3nWmt/Ya1dZYx5HViNs3x5o7W20n3dDcAMIAInx8yTZzYdeNEYk4EzIza1me9LpNVkt0D1fY/kmDC+26BgTEQkkNUbjFlrv6f2nK6P67jmPuC+Wo4vBAbXcrwEuKC+sYi0RZ5lypRY7+eMJUWHkl9SQUl5JeEhrvovEBERv6MK/CLNlJ1fQkJUKGHB3g+WPOUtlMQvIhK4FIyJNFN2vvcLvnocCMbUn1JEJFApGBNppp35JXRqgSVKgORoJ8jTjkoRkcClYEykmXbmlbbYzFhSTCigYExEJJApGBNphvLKKnYXtVwwlhilnDERkUCnYEykGXILSrG2ZQq+AoQGB9EhMkQzYyIiAUzBmEgzeMpadGyhnDFQFX4RkUCnYEykGXLyW67gq4f6U4qIBDYFYyLNsNNdfb8lWiF5qCWSiEhgUzAm0gw780sJcRkSokJb7DW0TCkiEtgUjIk0Q3Z+CSkx4bj7s7aI5Jgw9pdVUlRa0WKvISIivqNgTKQZsvNLWmwnpUdytMpbiIgEMgVjIs3gVN9v2WAsyd0SSUuVIiKBScGYSDNk57VcX0oPz8yYgjERkcCkYEykiQpLKygqq2zRGmNQs1m4gjERkUCkYEykiarLWrRwzlhCVChBRjNjIiKBSsGYSBNlt0LBVwBXkCEhSrXGREQClYIxkSZqjYKvHskxYeQWlLX464iISOtTMCbSRNkFrTMzBqrCLyISyBSMiTRRdl4JseHBRIS6Wvy1kqJD2aWcMRGRgKRgTKSJdrZCwVcPz8yYtbZVXk9ERFqPgjGRJtq6p5i0+IhWea3k6DDKKqrIL1FLJBGRQKNgTKQJKqssG3ML6dMxplVeL1lV+EVEApaCMZEm2LpnP2UVVfRJiW6V11N/ShGRwKVgTKQJ1mcXAGhmTEREmk3BmEgTZOQUAtC7tWbGFIyJiAQsBWMiTbA+u4C0+Aiiw4Jb5fXiIkIIcRnVGhMRCUAKxkSaYEN2IX06ts6sGIAxhqToMNUaExEJQArGRBqpeidlKy1ReqgKv4hIYFIwJtJI2/bsp7SiqtWS9z2SosOUMyYiEoAUjIk0kmcnZd9WDsaSo8NU2kJEJAApGBNppA2tvJPSIzkmjF2FZVRVqSWSiEggUTAm0kgbWnknpUdSdCiVVZa9+8ta9XVFRKRlKRgTaaQNOYWtPisGkBzjNCXfVahgTEQkkCgYE2mEyipLRk4hfVuxrIWHCr+KiAQmBWMijZC5172TMqV1k/fBWaYEyC0safXXFhGRlqNgTKQR1mc7yfutWfDVwzMztqtAy5QiIoFEwZhII3jKWvgiZyw6LJjwkCAVfhURCTAKxkQaISOnkM5x4cSEh7T6axtjnCr8yhkTEQkoCsZEGmF9dgG9W7nYa01JKvwqIhJw6g3GjDFdjTFfGWPWGGNWGWNudh9PMMbMMsZscP/bocY1dxhjMowx64wxp9U4PtIYs8L93CPGGOM+HmaMec19fJ4xpkcLvFeRZqneSemDJUqPZLVEEhEJOA2ZGasAbrXWDgDGATcaYwYCtwNfWmv7AF+6v8f93FRgEDAJeNwY43Lf6wngOqCP+2uS+/g0YK+1tjfwL+ABL7w3Ea+q3knpg+R9Dy1TiogEnnqDMWttlrV2sftxAbAGSAMmAzPdp80EprgfTwZetdaWWms3AxnAGGNMKhBrrZ1jrbXAC4dc47nXm8AEz6yZSFuxoXonpW+XKffsL6OisspnYxAREe9qVM6Ye/lwBDAP6GitzQInYANS3KelAdtqXJbpPpbmfnzo8YOusdZWAHlAYmPGJtLS1uf4bielR0JUKNZCfkmFz8YgIiLe1eBgzBgTDbwF/Npam1/XqbUcs3Ucr+uaQ8dwnTFmoTFmYW5ubn1DFvGqjOxCUuPCifXBTkqP+EjntfepP6WISMBoUDBmjAnBCcRetta+7T6c7V56xP1vjvt4JtC1xuVdgB3u411qOX7QNcaYYCAO2HPoOKy1T1trR1lrRyUnJzdk6CJesz6nwKezYgBxEe5grLjcp+MQERHvachuSgNMB9ZYax+u8dT7wJXux1cC79U4PtW9Q7InTqL+fPdSZoExZpz7nlccco3nXucDs915ZSJtQlV1T0rf5YsBxEc6LZHy9isYExEJFMENOOdY4HJghTFmqfvYH4D7gdeNMdOArcAFANbaVcaY14HVODsxb7TWVrqvuwGYAUQAn7i/wAn2XjTGZODMiE1t3tsS8a7MvcWUlFfRp83MjGmZUkQkUNQbjFlrv6f2nC6ACUe45j7gvlqOLwQG13K8BHcwJ9IWedog+XInJUC8JxjTzJiISMBQBX6RBtiQ45S18HXOWKw7GMtTzpiISMBQMCbSABuyC+gUG169TOgrriBDbHiwZsZERAKIgjGRBtiQU+jTyvs1xUeGamZMRCSAKBgTqYdnJ2WfFN/mi3nER4aozpiISABRMCZSj+37iikur2wzM2NxESGqMyYiEkAUjInUw7OTsm8bCsZUZ0xEJHAoGBOpx4GdlG1omVIzYyIiAUPBmEg91mcX0DE2zOc7KT3iI5wEfjWpEBEJDArGROrRFtog1RQfGUJllaWwtMLXQxERES9QMCZSh6oqy4bsQp8Xe60pTlX4RUQCioIxkTp4dlK2rZkxd7Nw5Y2JiAQEBWMiddiQ4+5J2YZmxuIjNTMmIhJIFIyJ1GF9trOTsq0UfIUay5TFKvwqIhIIFIyJ1GFDdiEpMWHERbaNnZQA8coZExEJKArGROqwIaegTeWLAcS6gzHljImIBAYFYyJH4OlJ2ZZ2UgKEh7iICHEpGBMRCRAKxkSOYPu+YvaXta2dlB5qFi4iEjgUjIkcQYa7DVJbaRBeU1xEiHLGREQChIIxkSPwNAhvS2UtPOIi1J9SRCRQKBgTOYINOYUkx4RVF1ltS+IjQ8jTzJiISEBQMCZyBBuyC+jbBpcowWkWrjpjIiKBQcGYSC2stWzIKWxTxV5rchL4NTMmIhIIFIyJ1MKzk7ItJu8DxEWGUFpRRUl5pa+HIiIizaRgTKQWG9pgG6Sa4iPULFxEJFAoGBOpRVtsEF6TmoWLiAQOBWMitVifXUhSdBgdotreTkqo0SxchV9FRPyegjGRWmzIKWyzOymhRjCmZUoREb+nYEzkENZaMrIL2uwSJRxYplStMRER/6dgTOQQO/JKKCqrpE8b7Enp4SlEq1pjIiL+T8GYyCHachskj6hQF8FBRrspRUQCgIIxkUNkeMpatOGZMWOMCr+KiAQIBWMih9hVWEpYcBAJbXQnpYeahYuIBAYFYyKHyCsuJ9a9W7Eti4tQs3ARkUCgYEzkEHnF5dWlI9qy+Eg1CxcRCQQKxkQOkV9STmx4sK+HUa/4COWMiYgEAgVjIofwl5mxuEgtU4qIBAIFYyKHyC+u8ItgLD4ilILSCioqq3w9FBERaQYFYyKH8JcEfk8V/vySCh+PREREmkPBmEgNVVWW/BL/WKb0BGNqFi4i4t8UjInUUFhWgbUQG972g7FYNQsXEQkICsZEavAkxPvFzFiEmoWLiASCeoMxY8xzxpgcY8zKGseGG2PmGmOWGmMWGmPG1HjuDmNMhjFmnTHmtBrHRxpjVrife8QYY9zHw4wxr7mPzzPG9PDyexRpsPwSJ7Dxj5wxNQsXEQkEDZkZmwFMOuTYg8CfrbXDgbvd32OMGQhMBQa5r3ncGONyX/MEcB3Qx/3luec0YK+1tjfwL+CBJr4XkWbzNN6OjfCPOmOAao2JiPi5eoMxa+23wJ5DDwOx7sdxwA7348nAq9baUmvtZiADGGOMSQVirbVzrLUWeAGYUuOame7HbwITPLNmIq0tv9h/liljFYyJiASEpv75/2vgM2PMP3ACumPcx9OAuTXOy3QfK3c/PvS455ptANbaCmNMHpAI7Gri2ESaLL/YKRPhDwn8riBDbHhw9WyeiIj4p6Ym8N8A/MZa2xX4DTDdfby2GS1bx/G6rjmMMeY6d47awtzc3EYOWaR+nsAmLrLtB2Pg5I0pGBMR8W9NDcauBN52P34D8CTwZwJda5zXBWcJM9P9+NDjB11jjAnGWfY8dFkUAGvt09baUdbaUcnJyU0cusiR5ZeUE2QgOrTt54yBs5yqOmMiIv6tqcHYDuAE9+OTgQ3ux+8DU907JHviJOrPt9ZmAQXGmHHufLArgPdqXHOl+/H5wGx3XplIq8srLicmPISgIP9IW4yPDFGdMRERP1fvn//GmFeAE4EkY0wmcA9wLfAf90xWCc4uSay1q4wxrwOrgQrgRmttpftWN+DszIwAPnF/gbPE+aIxJgNnRmyqV96ZSBP4S5Nwj7iIELbvLfb1MEREpBnqDcastRcf4amRRzj/PuC+Wo4vBAbXcrwEuKC+cYi0hvzicr8oa+GhmTEREf+nCvwiNfjbzFh8hJPAr5V9ERH/pWBMpIb8kgr/CsYiQ6isshSWVvh6KCIi0kQKxkRqyCsu94saYx5xKvwqIuL3FIyJ1OBvy5SesarWmIiI/1IwJuJWUl5JWUWVXzQJ96huFq6ZMRERv6VgTMQtv7pJuD8FY+5lymIVfhUR8VcKxkTc8kv8p0m4R7xyxkRE/J6CMRE3T95VbLj/1BmLVc6YiIjfUzAm4lbdJNyPZsbCQ1xEhLgUjImI+DEFYyJu+cVOrS5/yhkDdxV+NQsXEfFbCsZE3PxxZgyc8SpnTETEfykYE3Gr3k3pR0VfwR2MaZlSRMRvKRgTccsrLicixEVosH/93yI+MoQ8zYyJiPgt//qtI9KC/K36vkd8RKjqjImI+DEFYyJu+SXlxEb4T1kLDyeBXzNjIiL+SsGYiJu/zozFRYZQWlFFSXmlr4ciIiJNoGBMxC2/uMI/gzEVfhUR8WsKxkTc8orL/W4nJTg5Y6CWSCIi/krBmIhbfnG53xV8hRrNwlX4VUTELykYEwEqqywFpRV+GYx5lilVa0xExD8pGBMBCkr8s/o+HJgZU60xERH/pGBMhAN9Kf0zGHPnjKnWmIiIX1IwJsKBnYix4f5XZywq1EVwkFECv4iIn1IwJoL/NgkHMMYQFxGi0hYiIn5KwZgITvV9wC8T+MEp/KoEfhER/6RgTAT/nhkDiI9Qs3AREX+lYEwEp8YY+HEwFqlm4SIi/krBmAjOzJgryBAZ6vL1UJokPkLNwkVE/JWCMREONAk3xvh6KE0SF6llShERf6VgTATIL6nwy7IWHvERoRSUVlBRWeXroYiISCMpGBPhwMyYv4qLcALJ/JIKH49EREQaS8GYCP7bJNyjugq/moWLiPgdBWMi+H8wFhepZuEiIv5KwZgI/r9MGR+hZuEiIv5KwZi0e9Za8kvKiQ3342CsCc3CrbXc+PJiPlmR1VLDEhGRBlAwJu1ecXkl5ZU2IGbGGlNrLDu/lI9WZPHpqp0tNSwREWkABWPS7uUXOzsQ/TkYi21CMLZiex4AG3MLW2RMIiLSMArGpN3z9KWMjfDfOmOuIENMeHD1e2kITzC2ObcIa21LDU1EROqhYEzaPX9vEu4RHxnSuGAscx8ARWWVZOeXttCoRESkPgrGpN3zNAn35wR+cKrwN7TOmLWWFdvzSYuPALRUKSLiSwrGpN0LpJmxhtYZy84vZVdhKT8b1hmATQrGRER8pt5gzBjznDEmxxiz8pDjvzTGrDPGrDLGPFjj+B3GmAz3c6fVOD7SGLPC/dwjxt2R2RgTZox5zX18njGmhxffn0i98ksCIxiLi2h4s3BPvtjEgSlEhbrYmFvUkkMTEZE6NGRmbAYwqeYBY8xJwGRgqLV2EPAP9/GBwFRgkPuax40xLvdlTwDXAX3cX557TgP2Wmt7A/8CHmjG+xFpNM/MWIwfNwqHxs2MrcjcR5CBgalxpCdHa5lSRMSH6g3GrLXfAnsOOXwDcL+1ttR9To77+GTgVWttqbV2M5ABjDHGpAKx1to51tm29QIwpcY1M92P3wQmeGbN/MHCLXt47KsMXw9DmiGvuJzosGCCXf69au/JGauqqn9n5IrtefRJiSEi1EV6chSbNDMmIuIzTf3t0xc4zr2s+I0xZrT7eBqwrcZ5me5jae7Hhx4/6BprbQWQByQ2cVyt7oU5P/HQZ+vYsa/Y10ORJsovriDWz2fFwFmmrLJQWFZR53me5P3BaXEApCdFs31fMcVlla0xTBEROURTg7FgoAMwDvgd8Lp7Nqu2GS1bx3Hqee4gxpjrjDELjTELc3NzGz/qFrBuZwEAX67NqedMaavy/LxJuIenWXh9eWOe5P2hXZxgrFdKFACbd2l2TETEF5oajGUCb1vHfKAKSHIf71rjvC7ADvfxLrUcp+Y1xphgII7Dl0UBsNY+ba0dZa0dlZyc3MShe09ZRVV1rs0Xq7N9PBppqvwS/24S7lHdLLyevLHl7vpiNWfGQOUtRER8panB2LvAyQDGmL5AKLALeB+Y6t4h2RMnUX++tTYLKDDGjHPPoF0BvOe+1/vAle7H5wOzrZ+UA9+8q4iKKkvnuHDmbNxNYWndy0PSNuUHyMxYdbPwembGVm7PcyfvxwLQMykKY1DemIiIjzSktMUrwBygnzEm0xgzDXgOSHeXu3gVuNI9S7YKeB1YDXwK3Git9SSi3AA8i5PUvxH4xH18OpBojMkAbgFu99q7a2Frd+YDcN3x6ZRVVvH9hraxdCqNk1ccIDNj7mXKfcV1F36tmbwPEBHqonNchGbGRER8pN6sZWvtxUd46rIjnH8fcF8txxcCg2s5XgJcUN842qL12QVMci3isuwP+Hf4FGatzmHS4FRfD0saKb+43O+r78OBZcq6ZsY8yfsn9D14mT89OYpNuxSMiYj4gn/v5fexdTsLuCLiO4KXv8JNaRv4al0OlQ0oKyBtR3llFUVllQExMxbbgJyxnfklByXve/RKjmaTGoaLiPiEgrFmWLuzgIF2EwDnF/2PPUWlLNm618ejksYoKHHy/OIi/L+0RXiIi/CQoDr7U67IdCrve5L3PXolR7G/rJKd+SUtOkYRETmcgrEmKiytoGzvDuIrd0HnEcTvW80prqV8sUYlLvyJZxYpEBL4wSn8WtfM2KHJ+x69kp0dlUriFxFpfQrGmmh9dgFDg5xZMU79K8R34/bI9/li9U7fDkwaJVCahHvER4bUmTN2aPK+R3qyyluIiPiKgrEmWrezgKFBG7HGBZ2PguNupXf5Ojrv/pEtKp7pN/IDbGYsLuLI/Smd5P08hhySLwbQMTaMqFCXZsZERHxAwVgTrdtZwAjXFkjpD6GRMOwSKqI7c3Pw25od8yOBODN2pAr8TvJ+GUPSDg/GjDFqGC4i4iMKxppoXVY+w4I2YTof5RwIDiX4hFsZGbSBncs+9+3gpMHySwIsGIsIPWKdsSMl73uoYbiIiG8oGGsCay352ZuItfnQecSBJ0ZcTkFoMhNzZ9TbH1DahuoE/gCoMwZOf8oj5YwdKXnfo1eyGoaLiPiCgrEm2FVYRveStc43aUcdeCI4jH1H3cjYoLWs+PEj3wxOGiWvuJxQVxDhIYHxf4W4iBBKK6ooKT88oFq+PY++HQ9P3vdIT3Yahqv4q4hI6wqM30CtzEne30RVUCikDDroubSTrmcX8SQv/o+PRieNkV9cQWxEME7LVP/naYl0aHkLay0rt+cdcYkSDjQM11KliEjrUjDWBGt35jPUbKIyZRAEhx70XFBYJHM6XUa//Yup2PyDj0YoDRUoTcI94iNqbxZeV/K+hxqGi4j4hoKxJtiwM4+hri2EdDmq1ufDj76GXBtL4ed/a+WRSWPllwRGk3CP6mbhh1Thry95H9QwXETEVxSMNUHB9nVEs//gfLEajh3QleeqfkZ81vewbX4rj04aIy9AmoR7eALLQ2uNrdiehyvIHDF536NXSrRyxkREWpmCsUaqqrJE71nhfFNzJ2UNkaHBbOk5lX3EYr95sBVHJ42VVxyYM2OH7uZ1Ku9HHzF53yM9KUoNw0VEWpmCsUbatnc//asyqHBFQFK/I543flB3nio/A5MxC7YvasURSmM4OWP+3yTc48DM2IFlyoYk73uoYbiISOtTMNZIa907KUuSBoPryL/EJ/TvyAuVEykJjoNvHmrFEUpDWWvJL6kIqJmx6LBgXEHmoAT+hiTve3gahm/MURK/iEhrUTDWSBuy9jLIbCGs28g6z+sUF056WifeDjsb1n8CWctaaYTSUEVllVRW2YAKxowxxB/Sn3J5A5L3PTwNw5U3JiLSehSMNVLetpVEmDJCuo6q99xTBnTk/j0nUBUWC8oda3MCrfq+R1xkyEF1xlY2MHkf1DBcRMQXFIw1Uli2e4brCMn7NU0YkEK+jWRNt0th7Yewc2ULj04aw5PkHkgzYwDxEQc3C29o8j6oYbiIiC8oGGuE0opKUovWUOKKhoT0es8f1DmW1Lhwni0/DUJjYNbdoF1qbYanSXggFX0FiI880Cy8Mcn7Hr3UMFxEpFUpGGuEjTlFDDEbKUgYDEH1/09njGHCgBQ+3VhK+Yl3wcYvYc5jrTBSaQjPUl4gzox5Eviz8hqevO+R7m4Yvr+soqWGKCIiNSgYa4QNO3bR32zFdYTK+7U5ZUBHissr+b7DOdD/LPjiHshUqYu2ID9Ag7HYGsuUK7Y7yftDujQmGHMahm/epdkxEZHWoGCsEfZuXkqoqSQ2fUyDrxmXnkhkqIsv1ubA5EchpjO8eRUU72uxcUrDBGoCf3xkCAWlFZRXVjUqed/DU95CS5UiIq1DwVgjBGUtASC4a91lLWoKD3FxfJ9kvlyTgw2Ph/Ofg/wd8P5Nyh/zsfzicoyBmPDAKfoKzjIlOO/Pk7wfHlJ/8r6Hp2G4kvhFRFqHgrFGSNi3kkJXHMR1bdR1EwaksDO/hFU78qHraJhwD6z5ABY820IjlYbIL6kgOiyYoCDj66F4VXxkKOD0p1yR2bjkfXD+gEiLj9DMmIhIK1Ew1kD5JeX0qtjA7rjBYBr3y/vk/ikYA7NWZzsHjr4J+pwKn/1BxWB9KND6UnrEuftTrs0qYHdRGUMbkS/mofIWIiKtR8FYA2Vsy6avyaQydXijr02MDuOobh34Yo07GAsKgilPQmQivHEVlBZ4dazSMPkBGox5lim/z8gFGlZ5/1DpSVFs3qWG4SIirUHBWAPt2rgQl7GNSt6v6ZQBHVm1I5+svGLnQFQinDcd9m6BD36t/DEfyCsuD7jkfTiwTPndhl2NTt736JUSrYbhItImvb04kxv/t9jXw/AqBWMNVLnNKUeR2Gdsk66fODAFgC/W5Bw42ONYOPEPsPJNWPxCs8cojROwy5Tu95S5t7jRyfsevZKc8hZqGC4ibUne/nL+/MFqPlqeRebe/b4ejtcoGGug6N0r2B2UiIlNbdL1vZKj6Z4YyZeepUqP426B9BPhk99D9urmD1QaLL+knNiIwNpJCRBbY3doY4q91tQrRQ3DRaTteezrjOqyRAu27PHxaLxHwVgDWGvpWrKWndEDm3wPYwynDOjIjxm7KSqtUdk8yAXnPA1hsU7+WJlmIlpLoM6MBbuCqst1NKbYa00pMU7D8I05CsZEpG3Ytmc/M37YwrlHpREbHsz8zQrG2pXc3Bx6kEVpyrBm3eeUAR0pq6ziuw25Bz8R0xHOfRp2rYePf9+s15CGKa2opKS8KiCDMXAKv0LTkvfhQMPwTarCLyJtxD8/X4cx8LvT+jG6RwLzFIy1L1lr5wEQ3n10s+4zqkcH4iJCDs4b8+h1Ehz/W1j6Eqx4s1mvI/XLL3ZmJwOtSbhHfERok5P3PdQwXETaipXb83h36Q6mje9JalwEY3omsCm3iNyCUl8PzSsUjDVA6U8LAOg8YFyz7hPiCuLEfsnMXptDZVUtuydPuB3SRjn5Y0W7m/VaUrdAbRLu0TE2jAGpMU1K3vdQw3ARaQustfzt4zUkRIXyixN7ATCmZwIQOHljCsYaICxnOZl0JD6pU7PvdcqAjuwpKmPJ1r2HP+kKhrMfgZI8pyCstJj8ksDsS+lx75TBPHFpw9t21cbTo1INw0XEl75en8uPG3fzq5N7V//MHpwWR0SIK2DyxhSMNUCnotVkRvT3yr1O6JdMcJCpfakSoOMgOPbXsPxVyPjSK68ph6tuEh6gM2OpcRF0TYhs1j3Sk93lLbRUKSI+Ullluf/jtfRIjOSSsd2rj4e4ghjZvUPA5I0pGKtHZUEuHatyKEwc4pX7xYaHMDY94UA1/toc/ztI7A0f/ka7K1tIfoAvU3qDp2H4JrVFEml3Plqexc2vLuGb9blU1ZZW00reWpTJuuwCfj+pP6HBB4csY3omsHZnPnn7y300Ou9RMFaPnHVzAHB1bd6ST02nDOhIRk4hW460/BMSDj/7D+z7Cb7+u9deVw7Ir54ZC7w6Y97iaRiumTGR9mXptn385rWlfLBsB1c+N58T//E1j3+d0erJ8sVllfxz1jpGdIvn9MGHpwmN6ZmAtbDwJ/+fHVMwVo+CTQuosobkPk1rg1SbUwZ0BKh7dqzHeDjqSpjzGOxY6rXXFkf1MmWA5ox5S3pytGbGRNqR3IJSfvHiIlJiw5h7xwQeuXgEqXHhPPjpOo65/0tu+t9ifty4q1X61k7/fhPZ+aX84YwBGGMOe35413hCXUEBkTemYKwerp1L2Gg706tL0yrv16ZrQiT9O8XUHYwBTPwLRCXD+7+ESu1o86b8kgrCgoOatduwPfCUt/DlMoWItI7yyipu/N9i9hWX8dTlI0mJDefsYZ157fqj+eKW47l8XA++27CLS56Zx4SHv+HZ7zaxb39Zi4xlV2EpT36ziVMHdmR0j4RazwkPcTGsa1xA5I0pGKuLtSTlrWJzaB8iQr37S3vCgBQWbNlb93/IEfFw+oOwcznMfdyrr9/e5e0PzOr73paeHE1xuRqGi7QH9320hvmb9/DAeUMZ1PnggtG9U2K4+2cDmfeHCfzzgmHER4Tw14/WMOZvX3Lzq0v4dn1u7SWbmui/X26guLyS206ve/PcmJ4JrNyed3BnGz9UbzBmjHnOGJNjjFlZy3O/NcZYY0xSjWN3GGMyjDHrjDGn1Tg+0hizwv3cI8Y952iMCTPGvOY+Ps8Y08NL7635CrKIq9zDnvjBXr/1KQM6Ulll+Xpdbt0nDpwM/c6Ar/4GezZ7fRztVX6JgrGG6OXeUaniryKB7a1Fmcz4cQvTxvdk8vC0I54XHuLivJFdePv/juWTm4/jolFd+WptDlc8N59j75/NA5+uJaOZbdQ25Rby8rytXDyma3WJnSMZ0zORiirLkq37mvWavtaQmbEZwKRDDxpjugITga01jg0EpgKD3Nc8bozxTCk9AVwH9HF/ee45Ddhrre0N/At4oClvpCWUbV0IgE0d4fV7D+sST1J0WP1LlcbAGf+AoGD48NfQCuv07UFecXnAlrXwJs8Pwo3KGxMJWCsy8/jDOysYl57AHfXMRNU0IDWWe6cMZv6dp/DYJUcxsHMsT3+7iVMe/obJj/3Ai3N/atIy5kOfrSMsOIibJ/St99yR3TsQZGD+Zv8ulF5vMGat/RaobUH2X8DvgZrRwWTgVWttqbV2M5ABjDHGpAKx1to51sn6ewGYUuOame7HbwITTG2Zej6wL2M+FTaIDr28t5PSIyjIcMqAFL5Zl0tZRVXdJ8elwSn3wKavYdmrXh9LexSoTcK9zdMwXEn8IoFpd2Epv3hpEYlRoTx2yVEEuxqfvRQe4uLMoak8d9Vo5txxMnedOYDS8kr++O5Kxtz3Jf/38iK+XJNNbkFpvfmni37awycrd3L9Cb1Ijgmr97Wjw4IZ1Nn/88aatK/fGHM2sN1au+yQuCkNmFvj+0z3sXL340OPe67ZBmCtrTDG5AGJwK5aXvc6nNk1unXr1pShN4rdvoj1tiu9Oye3yP0nDOjIqwu2MX/zHsb3Sar75FHTYMUbTmX+PhMhqp7zpU75JeX0Sal7+luchuG9UtQwXCQQVVRWcdP/lpBbWMpbvziGxOj6g5/6pMSEc81x6Uwb35NVO/J5a3Em7y3dwccrdgIQ6gqiY1wYqXERdI4Lp1NcBJ3jw+kUG07n+Aj+9vFaUmLCuOa4ng1+zTE9E3hx7k+UVlQSFuyfm7IaHYwZYyKBO4FTa3u6lmO2juN1XXP4QWufBp4GGDVqVMuu11lLzJ6VfMMozk1sXiXzIxnfO4mw4CC+WJNdfzAWFAQ/ewSeHA+f3gHnPdMiY2ovlMDfcOlJUQGxdVxEDnb/J2uZs2k3/7xgGEO6xNV/QSMYYxicFsfgtDjuOH0AczbtZsuuInbkFZO1r4SdeSUs/Gkv2flZlFce/Ov8/nOHEBna8PBkTM8Epn+/meWZeUfcednWNWVmrBfQE/DMinUBFhtjxuDMeHWtcW4XYIf7eJdajlPjmkxjTDAQR+3Loq1r7xYiK/PJjh7YpGnbhogIdXFcnyS+WJPNPT8bWGsdlYOk9IfjboFvHoChF0GfU1pkXIGuqspSUFqhYKyBeiVH8+7SHewvq2jUD0gRabveW7qdZ7/fzFXH9OC8kV3qv6AZQoODOKFvMif0PXyVqarKsquolKx9JWTllVBSXsnPhnVu1P09Adj8zXv8NhhrdJRhrV1hrU2x1vaw1vbACaaOstbuBN4Hprp3SPbESdSfb63NAgqMMePc+WBXAO+5b/k+cKX78fnAbNsa1eTqs2MJAGUpw1r0ZSYM6Ejm3mLWZRc07ILjboWkvk6rpP2+j1n9UUFpBdYGbl9Kb0t3J/FrR6VIYFi1I4/b3lrOmB4J3HnmAJ+OJSjIkBITzrCu8Uwa3IkpI9JwBTUubTwhKpS+HaP9Om+sIaUtXgHmAP2MMZnGmGlHOtdauwp4HVgNfArcaK2tdD99A/AsTlL/RuAT9/HpQKIxJgO4Bbi9ie/Fq/K6TuC80nuI7T60RV9nQv8UAL48UuPwQwWHwdmPQmE2PHMy5K5vwdEFpvwAbxLubZ6G4cobE/F/uwpLuf7FRcRHhPLYpUcR0kIrP61tTM8EFm3ZQ0VlPRvi2qiG7Ka82Fqbaq0NsdZ2sdZOP+T5HtbaXTW+v89a28ta289a+0mN4wuttYPdz93kmf2y1pZYay+w1va21o6x1m7y5htsqrW7K1hk+9G7c8tOeabEOn8RzFpdT4mLmrqNhas+hLJCePYUyPiy5QYYgNQKqXHUMFwkMPy0u4jzn/jRqW5/+cgG7Vb0F2N6JlJUVsnqrHxfD6VJAiMkbgEWGN2jAwM6xbb4a00ckMLSbfvIKWhElfOuY+Da2RDfFV4+H+Y9pRpkDeSZGVPOWMOEh7joHBehZUoRP7Y8cx/nPfEjecXlvHzNOIZ3jff1kLxqTI28MX+kYOwIxqUn8sYvjqFTXHiLv9YEd+Pwr9Y2cKnSI74bXP0Z9D0dPvk9fHQLVJa3wAgDS36JgrHGSk+OYtMuzYyJ+KOv1uUw9em5hIe4ePOGYxjZvYOvh+R1neLC6Z4YqWBMmq5/pxjS4iOYtbqRwRhAWDRc9BKM/w0sfA5eOleJ/fWoXqaM0M7AhuqVHM3m3CLawt4aEWm4NxZu45qZC+mZFMXb/3dMve2F/NmYHgks2LKn3sKybZGCsTbAGMPEgR35PiOXkvLK+i84VFAQnPInmPIkbJ3r5JHt2uD1cQaKPC1TNlqv5CiKyirJzi/19VBEpAGstTw6ewO/e3M5x/RK5LXrjyYlpuVXenxpTM8E9u4vJ8MP81sVjLUREwakUFJexQ8ZhzUeaLjhF8OVH0BJHjw7ATbO9t4AA0h+cQVBBqJUM6vBDpS38L8fciLtTWWV5a53V/KPz9dzzog0pl85muiwwP95N7ZnIoBflrhQMNZGjO2ZSHRYcP2Nw+vTbZyT2B/bBV46H+Y/o8T+Q3iahAc1spZNe+Ypb6GG4SJtW3FZJb94aREvz9vKDSf24uELhxEa3D5+1XdNiKBTbLhf5o21j0/ID4QGB3FCv2S+WJPT/PXuDt1h2mfQ51T4+Lfw3k1Q3oidmgEuv0StkBqrU2w4kaEuNmpHpUibtbeojEufncsXa7L589mDuG1S//o7uwQQYwxjeiYwf/Nuv8tvVTDWhkwc0JHcglKWZe5r/s3CYmDq/+D438PSl+D5SbBvW/PvGwDyistVY6yRjDH0TIpS4VeRNqqkvJILnprDyh35PHHpUVx5TA9fD8knxvRMIDu/lK179vt6KI2iYKwNObFfMuEhQfz6taWs3uGFwnVBQXDynU5QtisDnj4BNn/b/Pv6ubxizYw1RXpytHLGRNqo95fuICOnkCcuPYpJg1N9PRyfGdvTqTfmb3ljCsbakPjIUF6+Ziwl5ZWc+8QPvL040zs37n8mXPcVRCbBC1Pgx0fbdR5ZfnG5ylo0QXpSFNv3FTdtx6+ItBhrLTN+3EL/TjGc7G6x1171TokmISrU7/LGFIy1MSO7J/DBL8czrEs8t7y+jLveXUFphRd++SX1gWu/dAKzz++Et6ZBWftccsorrtDMWBOkJ0dhLWzZ3T7/uxFpqxZv3cvqrHyuOLpHu8oRq40xhtE9OigYk+ZLiQnn5WvGct3x6bw0dysXPTWXrLzi5t84LAYufAEm3AOr3oFnJ8KeNtEKtFXll5SrSXgT9Koub6FgTKQtmfnjT8SEBzNlRGdfD6VNGNMzka179nvn92YrUTDWRgW7gvjDGQN4/NKj2JBdwFmPfM+PzalB5mEMHHcLXPomFOyAp0+EDbOaf18/UVJeSVlFlRL4m6BnklPeQnljIm1HTn4JH6/I4sJRXYlU7UTgQN6YP82OKRhr484Yksp7N42nQ1Qol02fxxNfb/TOlt3eE+C6r53+li9fAG9cBV/9DZb+D376EfJ3QFVV81+njVH1/aaLCgumU2y4ZsZE2pBX5m+jospy+bjuvh5KmzEgNZbosGC/CsYURvuB3inRvHfjsfz+reU88Olalmzdyz8uHNb82Z0OPeDqz+Hzu5zZsdXvga0RgLnCnJplHXq4v3rCsKkQmdC81/Wh/Oq+lArGmiI9OYqNKm8h0iaUV1bx8ryfOLFfMj3cM9ftwvZFkLkQxl5f69OuIMMoP8sbUzDmJ6LCgnn04hGM6BrP3z9Zy+RHf+C168c1v9dYaCSc9bDzuKIM8rbB3i2Hf22dC6X5sOJ1uOpj5zo/pJmx5klPjuK9pTuw1rb7RGERX/ts1U5yCkp54Ogevh5K67EW3r8ZclbD6GsgyFXraWN6JvDgunXsLiwlMTqslQfZeArG/IgxhmuOS2dIWhyXPzefu95ZyVOXj/TeL8XgUEjs5XwdylpY9zG8eim8ewOc/7xTx6ypivc6mwfSRjb9Hk2QX6JgrDnSk6IpKKlgV2EZyTFt/wecSCB74cef6JYQyQl9k309lNazYRZkr3Ae798N0bWX8vDkjS3YspdJgzu11uiaTDljfmhseiK/PbUvn6/O5v1lO1rnRY1xymJM/Ausfhe+ub/p9yrYCdNPhWdOhnlPe22IDeGZGYsN198hTdErRQ3DRdqC1Tvymb9lD5eP696++ux+//CBxwVZRzxtSFo8YcFBfrNUqWDMT00bn86IbvHc8/4qcgpase/kMb+E4ZfBNw/Aijcbf33+DphxJuRthx7HwSe/gx/+4/1xHkHefs2MNUe6Z0el8sZEfOrFuVsIDwniglFdfD2U1vPTHNg6B4Zc6HxfkH3EU0ODgxjZvQM/bvRCFYJWoGDMT7mCDA+dP4z9ZZXc9c7K1muKaoyTY9btGHj3/5wkyobKy4Tnz3D+D3T523D5OzDoXJh1N3zzYMuNuYb8kgpACfxNlRYfQVhwkGbGRHwob3857yzZzpThacRHhvp6OK3n+4edTjLH/875vo6ZMYBjeyexdmcBuQWlrTC45lEw5sd6p0S3/nIlQHAYXPQSxHSCVy9xgqz67NvqBGL7dztBWLdx4AqB856FYRfDV/fBl39p8TZNecXlRIa6CHHpP/2mCApyNwxXeQsRn3lj0TZKyqu4/Oh2VM5i5wrY8DmM+4Wzux+clJc6HNcnCYAfvFGjs4XpN5Kf89lyZVQiXPI6lBfDK1OhtI6Zkr1b4PkzoWQfXPEudB194LkgF0x+HEZeBd/9Ez67s0UDsnw1CW+29OQoNmpmTMQnqqosL8z5idE9OjCoc5yvh9N6vv8XhMbA6GudzWaRiVBYdzA2qHMc8ZEhfLdBwZi0sJrLlXe25nIlQEp/OP85yF4F71xfe5HYPZtgxllOWYwr3qt992RQEJz1bxj7C5j7GHx0a4sVnM0rLlf1/WZKT4pm295iyioCryiwSFv3zfpctu7ZzxXtqZzF7o1OC7/RV0NEvHMsJrXemTFXkOHY3kl8n5Hbur8bm0DBWADwLFfOau3lSoA+E+G0v8HaD2H2vQc/t3ujE4iVFcGVH0DnEUe+jzEw6X449tewcDq8/0uo8kKD9EPkaWas2dKTo6issmzdo6VKkdY2c84WUmLCOG1Q2y/X4DU/PgJBITDuxgPHojvWG4wBHNc7iez8UjJy2vZsvoKxAOGz5UpwZrRGXuUkVy571Tm2a4Oza7KixAnEUofWfx9j4JQ/wYl3wNKXnNm2ygqvDjW/pILYCJW1aI50d8PwjcobE2lVW3YV8fW6XC4Z243Q4Hby6zs/y2nTN+JSiOl44HgDZsYAxrvzxtr6UmU7+TQDn0+XK42BM/7hlKp4/5ew5CUnEKuqgCs/hE6DG3evE293grIVb8CbVzmdAbwkv7hcOymbKT3Z0zBcwZhIa3px7k8EBxkuGdPN10NpPXMedX6XHPOrg4/HdILC7HpXULp0iKRnUhTft/EkfgVjAaTmcuV7S1t5udIVAhe+AHFd4D33VPJVH0HHgU273/jfOMuWaz6A92/y2jCVwN98seEhJEWHqbyFSCvaX1bB6wu3cfqQVFJim9kGz1/s3wMLn4fB50FCz4Ofi+kEttLZoV+P8b2TmLtpd5vOc1UwFmB8ulwZmQCXvAGDz3cCseR+zbvfuBvg+N/D8tdgy/fNHl5llaWgtEIJ/F6Qnhylwq8irejdJTsoKKngyvZUzmL+M1Be5PxxfqgYd85cPbXGwFmq3F9WyeKte708QO9RMBZgPMuVxeU+WK4ESOoN50+HpD7eud9xt0BcV/jk9mYn9OerSbjX9EqO0syYSCux1vLCnC0MTI1lZPcOvh5O6ygrgnlPQt9J0HHQ4c9He4KxI1fh9zi6VyKuIMP3bThvTMFYAPLpcqW3hUTAqfc6jWEXv9CsW3mahCtnrPnSk6LZu7+cvUXey+cTkdrN37yHtTsLuPKY7hjTTvpQLpoJxXtg/C21P9+ImbHY8BCGdYnjuzacN6ZgLEB5litvfWMZU5+ew/TvN7Ntz35fD6tRqqosm3ILKUg/02m/NPteKN7X5PvlaWbMa3qleHpUanZMpCXl5Jfwry/WExcRwtnD0nw9nNZRUeYk7nc/FrqNrf2caPfOygbsqAQY3yeZFZn7qvsTtzXa4x+gXEGGpy8fxcwft/D56p3c++Fq7v1wNf07xXDqoE6cOrAjgzrHtqm/snYVlrJ06z6WZe5j6bZ9LNu2j/ySClJiwnjrnHvo+vokp4flpL81+t4l5ZX84/P1GAM9EiNbYPTtS3rSgfIWI7sn+Hg0IoFnV2EpT3y9kZfm/kRFleXuswYSEery9bBax/LXIH87/OyRI5/TwCr8Hsf1SeKRLzfw48ZdnD4k1UsD9R4FYwEsOSaM357Wj9+e1o8tu4qYtTqbWauzeXT2Bh75cgNp8RGcMiCFUwd1YkzPhFbt11hcVsmqHXks3bav+itzbzHgBJL9OsZw5tDO9O8Uw39nb+Dcdwr5YuDFxM1/Ckb9vFE5aSXllVz/4iK+XZ/Lg+cNpU/HmJZ6W+1Glw4RhLiMyluIeNmeojKe+nYjL/z4E6UVlZwzogu/mtCb7olRvh5a66iqhB/+DZ2GQu8JdZ/bwFpjAMO7xhMdFsx3GQrGxId6JEVx7fHpXHt8OrsLS/lybQ6fr8rm1QXbmDnnJ2LCgjm2dxIn9kvmxH4pdIrz3tbp8soq1u0sYFnmPpZvy2P59jzWZxdQWeVsLkiLj2B413iuOLo7w7t2YHBaLJGhB/7TPLZ3Ihc/M4/z103g0+APcH32B7j0jQa9dmlFJTe8tIhv1udy/7lDuHB0V6+9r/Ys2BVE90Ql8Yt4S97+cp75bhPP/7CZ/eWVnD2sMzdP6FNdZLndWPMB7M6A85936k7WpYFV+AFCXEGMS09ss0n8CsbaocToMC4c1ZULR3WluKyS7zbk8tW6HL5el8unq5z/sPt3iuGEfsmc1C+Fkd07NGjWzFqndETWvhJWbM9jReY+lmXmsTorv7q+S3xkCEPS4pjQvxdDu8QxvGt8vTVzeqfE8Op147jkmbn8u/xcbt0wE9Z/Dn1PrfM6JxBbzFfrcvn7uUOY2p4KJbaC9CSVtxBprvyScp77fjPTv9tMQWkFZw5J5den9GmfM/jWwnf/hIReMHBy/efHpELOmgbf/rg+SXyxJpufdhe1uZlGBWPtXESoy8khG9QJay3rswv52h2YTf9uM099s4nosGCO7Z3I8X2TCQ92sbuolN2FZeQWOv96vt9dWEZZ5YGielGhLganxXHl0d0Z2iWeYV3i6ZoQ0aQ8tV7J0bx63dFc/lQF55V/TupHtxOWfqKTN1CL0opK/u+lxcxem8PfzhnCxQrEvC49OZqv1uVQUVlFcCsucYsEircWZfKXD1eTV1zOaYM68utT+jIgNdbXw2p91sK2efDjf2HncidXLKgB+XE1q/A34PyarZEUjEmbZYyhX6cY+nWK4foTelFYWsEPGbuqg7PPVh2o5xIaHERydBiJ0aEkR4cxoFMsidFhJEWHkhwTxsDUWNKTo3EFeW+DQM+kKF7+xXH894mf84+8v5H1xX9JnXTrYeeVVVRx48uL+XJtDvedM5hLxioQawnpyVGUV1q27S2mZ1Lb+sEm0tY99/1m/vLhasb0SODunw1kcFqcr4fU+irKYPW7MPdx2LEEwuPhuN/C8Esadn3NKvzRKfWenp4URee4cL7fsIvLxrWt4rkKxuSIosOCOW1QJ05zz5pt3lVEkDEkRocSHRbsk52Y3ROjuPmGm5jz2CcMmvsPVqZPYXDfXtXPl1VU8X8vL+aLNTncO2Uwl45tW/+HCyS9qntUFioYE2mEx77K4KHP1nHaoI48cvEIwoLbyS5Jj6LdsOg5mP+ssxsyqS+c+TAMmwqhjfhZUrPWWAOCMWMM4/sk8enKnVRWWa9OFjSX1hakQYwxpCdH0yMpipjwEJ+WxOiaGEXPS/9NJKWsfvn3LHG3uCirqOLG/y3mizXZ3Dt5EJe3sb98Ao2nvIV2VIo0jLWWBz9dy0OfrWPK8M48dslR7SsQy14N7/8S/jUQZv/Vqax/6Vvwf/Ng9LTGBWLQqCr8HuP7JJNfUsHyzH2Ne60Wppkx8Uudeg2ncMQ0zl/yDBdMf53fXXk+z/+wmVmrs/nL5EFcfnQPXw8x4HWICqVDZIgKv4o0QFWV5S8frmbGj1u4eEw37psymKA2NDPToop2wTu/gIxZEBwBwy6Gsb+AlP7Nu28jqvB7HNsrEYDvN+xiRLe201qq3pkxY8xzxpgcY8zKGsceMsasNcYsN8a8Y4yJr/HcHcaYDGPMOmPMaTWOjzTGrHA/94hxT60YY8KMMa+5j88zxvTw7luUQBV96h+wER34o+sFpj49h89WZfOnnw3kCgVirSY9OZqNjZwZW7k9j/mb97TQiETansoqy21vLWfGj1u4ZnxP/nZOOwrE9m6B6RNhy3cw4W64ZTX87N/ND8Sg0VX4wakmMKhzbJtrjdSQZcoZwKRDjs0CBltrhwLrgTsAjDEDganAIPc1jxtjPHOwTwDXAX3cX557TgP2Wmt7A/8CHmjqm5F2JqIDrpPvYnjVSn7TeQ33ThnMVcf29PWo2pX0pKhGLVNWVFbxi5cWMW3mgupeoSKBrLyyiptfXcIbizL51YQ+3HnmgDbV+aRFZS2H6afC/j1wxftw3K0Q6cWOHY2swu8xvk8SS7bupai0wntjaaZ6gzFr7bfAnkOOfW6t9byLuUAX9+PJwKvW2lJr7WYgAxhjjEkFYq21c6y1FngBmFLjmpnux28CE0y7+S9Vmm3kVdBxMDdXvsDlI+tP4BTvSk+OZldhaYMDq49WZJG5t5iCkgpm/rClZQcn4mMl5U7R6Q+XZ3HH6f25ZWLf9hOIbf4OZpwJQcFw9WdH7jHZXI2owu9xfJ9kyist8zbvbpkxNYE3EvivBj5xP04DttV4LtN9LM39+NDjB13jDvDygEQvjEvagyAXTPo75G2FL+/19WjanfTqHZX1z45Za3nym030TolmQv8Upv+wmcI29JepiDcVlVYwbeYCZ2f35EFcf0Kv+i8KFKvehZfOhdjOMG2Wd5Ykj6QRVfg9RnbvQFhwEN+1oWr8zQrGjDF3AhXAy55DtZxm6zhe1zW1vd51xpiFxpiFubm5jR2uBKqex8OY62DuY7DwOV+Ppl3plezZUVl/Ev8363NZk5XP9cen86sJfdi3v5wX5/zU0kMUaXUFJeVc8dx85mzczT8uGNa+NhTNfwbeuAo6HwU//wTi0uq9pFmaMDMWHuJiTM+ENtUaqcnBmDHmSuAs4FL30iM4M141m/91AXa4j3ep5fhB1xhjgoE4DlkW9bDWPm2tHWWtHZWcnNzUoUsgOu3v0OdU+Oi3kPFFy79e3nZ4+3onH+KDm2He07Dleyc3oh3plhCJK6hhDcOf+HojqXHhTB6exrCu8RzfN5lnv9vE/jLNjklguee9VSzdto9HLzmK80d2qf+CQGCtU67i499C30lw+TvezQ87kppV+BvhuD5JbMgpJCuvuIUG1jhNCsaMMZOA24CzrbX7azz1PjDVvUOyJ06i/nxrbRZQYIwZ584HuwJ4r8Y1V7ofnw/MrhHciTSMKxjOfw5SBsLrV0H2qpZ5ncpy+OEReHS0Uzka40zJf/I7Jz/iwZ7wz/7w4jnw2Z2w9H+wYyns/ckJ4AqynYKHxfugtBDKS6CywvlB5odCg4PolhBZb3mLxVv3Mm/zHqaN70losPNj51cn92Z3URn/m7e1NYYq0io+WZHF20u2c9NJvTljSKqvh9M6Kivgg1/Btw/BiMvhopcgNLJ1XrtmFf5GGN/bmdBpK7Nj9dYZM8a8ApwIJBljMoF7cHZPhgGz3MmIc621v7DWrjLGvA6sxlm+vNFa6wlXb8DZmRmBk2PmyTObDrxojMnAmRGb6p23Ju1OWAxc8ho8OwH+dxFc88WBOjTesOUH+OhWyF3j/OU36X5I6OkEUgVZTkHDnFVO49rsVc50fWVpw+8fHg8XzoT0E7035lbQkB2VT369kbiIkIN6hI7qkcDR6Yk8/e0mLhvXnfCQdlT8UgJSTkEJf3hnBUPS4rjp5N6+Hk7dKsuhrAjK9zv/1va4qsIpxBoa4/43yvk5GxoFodEQEgkVJfDWNFj3MRz/OzjpTmjNTQqNrMLv0b9TDEnRoXyfsYsLRnWt/4IWVm8wZq29uJbD0+s4/z7gvlqOLwQG13K8BLigvnGINEhcGlz8Kjx/BrwyFa76qPFVnQ9VkA2z/gjLX4O4bjD1Feh/xoHnjXESVWM7Q59TDhyvrIA9m5zgrbTA+cFWVeFMp1c/rvH9yrfgrWvgF997N4hsYenJUXyfsYuqKltr7aSMnAI+X53Nryb0ISrs4B85v5zQm0uemcfrC7epPpz4NWstd7y1gv1llfzromGEuNpIg5uSPNi5EnaucH8tg10bnCDKG1yhTmB3xj9gzLXeuWdj1KzC34iJyKAgw7G9k/ihjp9drUkV+CXwdB4O50+HVy+Bt6+DC19wdl02VmUFLJzu5EGUFzs1co77bcOn313BkNzX+WqIQefA0yc5AdkV7zVtzD6QnhxNaUUV2/cV0zXh8P9tnvpmE+EhQVx1TI/Dnjs6PZFR3Tvw5NcbmTq6W/USpoi/eW3BNr5cm8PdZw2kd0qMbwZRmAvbF7mDruXO194tB56PTILUodDzBAiPc/5QDYl0ZrlCIw9/HOSCsv1QVuh8lRa6Z87c35cVOcd6nXzwH6KtqQlV+D3G907ivaU7WLuzgIGdY708sMZRMCaBqd/pTlL/p7fBrLvhtMMma+u2bQF89Bvnh1r6ic5ffUl9WmSo1VIGwBkPwfs3wTcPwkl3tOzreUm6u0n4pl1FhwVjWXnFvLt0O5eO7U5CVOhh1xpj+NWEPlzx3HzeWpx50DKmiL/Yuns/9364mmN6Jdb6R0frDGIuvDD5wIxXQi9IHe7kcKUOg05DnDIQgVbnrAlV+D2O6+POG8vIVTAm0mLG/cJZJpzzKCSkO41o67J/D6z9EFa9AxtnO1umz3/embFqrR9gIy5zdmV+8wB0PwbST2id122G9BrlLU7oe/Au5+nfbabKwrTxR+6McFyfJIZ1jefxrzM4f2SXtrO8I9IAlVWWW99YSpAxPHTBMN8sd+39CV69FGLTYPJj0Gmwk9vVHjSxCj9Ap7hweqdE892GXVx3vG/rwOmnngS2SX+HPqfBx7+DDbWUvCjeC0tegpfOg3/0gfd/6QRwJ9wGNy2Awee27l+SxsCZ/3Rm4d6+FgpzWu+1mygpOpSY8GA2HlJrbN/+Mv43fytnD+tc6/KlhzGGX53cm217inl3yfaWHq6IVz373SYWbNnLn84eRFp8ROsPoLQAXrkYqsqdDUzdj24/gZhHE2qNeYzvncT8zXsoKW9caQxvUzAmgS3I5ZS86DjQKUS4c6VTVmLp/+DlC+ChPvDejbBrPRx9I1z3NfxqKZz0B9/9QAuLhgtmOIm3b1/b6Po5rc0YQ3py9GE7Kl+c8xP7yyq5/oT0eu9xcv8UBnWO5fGvN1JZ5Z9lPqT9Wbszn39+vp7TBnXk3KNauLhpbaqqnLzY3LXOz4yWTqVoq5pQhd/j+L5JlFZUseinvV4eVOMoGJPAFxYNl7zuBFczzoCHesO7N0DOWhh3A1w7G25eDhP/Ap1HtI2cio6D4PQHYNPX8N3DLfc6C551XqOZeh1S3qK4rJLnf9zCyf1T6N+p/lwMYwy/PLk3m3cV8eHyHfWeL+JrpRWV/Oa1ZcRGBPO3c4b4pufkl392SkpMut9Jom+vmjEzNrZnIiEuw/zNvi3YrZwxaR9iOztT+B/dCl3HwKBzIe2othF4HclRVzrNdr/+m7P00GO8d++//jPnfw+AUVfDxHudwLUJ0pOjeHvJdopKK4gKC+aNRdvYU1TGDSc2PA/j1IGd6NcxhkdnZ/CzoZ19vtVcpC7/+WIDa7LyeeaKUSRGh7X+AJb+D374t/P/XV+UlGhLalbhb+Qu9KiwYGbfeiJdOvhgibkGzYxJ+5E6FK6Z5eys7DKybQdi4IzvZ/+GDj2dchdFXqwUXV4Cn9wGSX3h6Jtg4fPwxDHO5oEm8CTxb95VREVlFU9/u4mR3TswukfD26EEBRluPLk3G3IK+XRV0/7KFWmqF+f+xMOfr+P7DbvqbdG16Kc9PPnNRi4c1YWJAzu20ghr2DrPacPW83g4/cG2/7OspTWxCr9H14RI38xs1qCZMZG2LCzGyQV59hQnN+TSNyHIC39Dzfkv7N3s9I/rdTL0P8tZup1xlrN0O+FuCGn4X4qehuEbcwvZmFtI5t5i/vSzQY0e1plDUvn3F+v57+wMTh/cyec/IKV9+GZ9Ln98d6X7uwyCgwyD0+IY2zOBMT0TGNU9gbjIEACKSiu45fVldI6P4I9nDWz9we7b6tRQjOsCF8wEV0jrj6GtaWIV/rZEwZhIW5c61NkV+tEtzrLEcbc07377tsK3/4QBZx/IM+l+NNzwA3zxJ5j7OGz4HKY8CV1HN+iW3RMjMQY25hbx+aqd9EmJ5uT+jf+h6Aoy3Hhib259YxlfrMnxzayDtCt5+8u57c3l9EmJ5tXrxrFyRz7zN+9m/uY9PP/DFp76dhPGQP9OsYzp0YHs/FK27tnPq9eOIya8lQOh0kJn52RlOVz8Wus04vYHTazC35YoGBPxB6Ouhi3fOd0Auh3tBE9N9dmdzr+n/e3g46FRTtHZ/mfCezfBc6fCsTfDiXdAcN05MeEhLrp0iOD1BdvYmV/CP+uqt1RV5SwpHOEv+snDO/OfLzfw39kbOGVAimbHpEX9+YNV5BaWVud+ndA3ubpeXkl5Jcu27WP+5j3M37KH1xdmUlxeyXXHpzM2PbF1B+rZOZmzBi59o+GdPdqDZlThbysUjIn4A2PgZ4/AjqXw5tVOE/S4Jmyl3zgb1rwPJ98F8Udojpt+ItzwI3z2B/j+X06i/5QnnDZTdUhPiuab9bl0jgvn7OGdj3zi+7+E7BVwzZe1BmTBriD+78Re3P72Cr5en8tJ/fxz2UHavk9X7uTtJdu5eUIfhnSJO+z58BAXY9MTqwOv8soqNuUW0TulaRtdmmX2X2DdR06OWO8Jrf/6bVkzqvC3FUrgF/EX4bFw0YtOkceXznU6BjRGRRl8/HunG8Exv6r/tSY/Cpe84bzOsxOc1lB1SE922iJdc1x63VX0N86GrGXw4yNHPOXco7rQNSGCez9c7fNijBKYdheWcuc7KxjUOZabTu7doGtCXEH06xSDqzV3+lZVwvxnnD+MRv4cxlzXeq/tL5pRhb+tUDAm4k86DYGL/+d0CXhlqtPEt6HmPQG7N8CkB+pddqzW91S4/huoqoANs+o89eT+KYzu0YGpY44w4waQnwUFOyAsFr5+AHZvrPW00OAg7psyhE25RTw6O6NhYxVpIGstd76zkoKSCh6+cHjzWnBVlMG+bZC5ENZ86NTum30ffH4XbPwKKuvemXlE+/fA9/+GR4bDx791mnuf8ZB2Th5JM2qNtQVaphTxNz2Ph/OehdevdLoKTH25/h1V+Tuc4Kfv6U6A1RgxnZymw9sX1XnacX2SqxvvHtGOxc6/kx918tI+/A1c8V6tv2CO75vMuUel8eQ3GzljSKrPG/lK61m8dS/9O8UQGdoyv6LeX7aDT1ft5PbT+9OvUyM6bRTtdvrG7lrv1LUq2AnFtcxQmyAICoYf/+vM2Aw42+lx2/1YcNXznrYvgvnPwsq3oLIUehzn1ADsf6Z2TtalGVX42wIFYyL+aOBkOOthJ5h5/1cw5fG6/2L+/I/O7Nakvzft9dJGwuZvwdrm/WW+fREYF/Q5FU75k7NDdNmrMPziWk//45kD+XZ9Lre9tZx3/u8YgtVEPOBt3lXEuY//yIhu8cz4+RjiIrwbgGTnl/DHd1dyVLd4rj2u/lZd1bbOdfI1i3KdGeoOPaHbOGcnX0xHZ2YmuqPzx0tkktMrMuMLWPUOLH8dFj3vHB9YIzDzFCgtL3HOm/+08wdLSBSMuAxGX+O0cpP6xaQ6mxv8lIIxEX816moozHUq9Eclwan31n7elu9h5ZtO8/OEnk17rS6jYMXrkL/dqW/UVNsXO79cQiKc/JflrzkbBfqcClGH707rEBXKn84exE3/W8JzP2zmuuMbXtFf/NOK7XkALN22j0uemcuL08aSEBXqlXtba7ntreWUVVbxzwuHNyz3q6rKqcv3xZ8hvpuzeSZ1WP3XuYJhwM+cr7L9kDELVr3r/PGx8DmISnGeC4uGJS85BUuT+sLpD8GwqU7epjRcM6rwtwX6M1PEn53wexh9rZMM/0MtCfGV5fDx75xfIuN/0/TXSRvl/FvPUmWdrHX+6k8b6XwfFAQ/+4+zIeHzO4942ZlDUjllQEcenrWeLbuKjnieBIa1WfmEuAxPXz6KjJxCLn56LrkFpV6592sLtvH1ulxun9SfnklR9V+wf4+TmznrbhhwlpM/2ZBA7FChkc5s9gXPw+82OsVaux/jtDT68b9OuZor3oMb58PY6xSINUUzq/D7moIxEX9mjNNQfNA5MOuPsPSVg59f8CzkrIbT/t6oivqH6TQYXKFOknJT7dkEJXkHgjGAlAEw/tew7BUn2bkWxhj+OmUwIUFB3PH2Cqy1TR+DtHlrsvLplRzNxIEdef6q0Wzds5+Lnp7DzrySZt1325793Pvhao5OT+SKo3s04IIF8ORxsOkrZ7bqgpkQfnj5i0YLjYRBU+DCmfD7jfDbDCfvM/1EJec3h5/XGlMwJuLvglxwzlPObqv3bnTqggEU5sBXf4PepzjJv80RHAadhjZvZsxzbeejDj5+3G+dDQIf/gbKi2u9tFNcOHecMYA5m3bz2oJtTR+DNMq8Tbu59fVlFJY2cUdgE6zJKmBAqjMzdEzvJF6YNoac/FIufGoO2/Y0YvdwDVVVlt+9uQxjDA+eP7TuJvTWOrNVz09y/r919WfObFVLBEqhUbUuz0sTVFfh988kfgVjIoEgOMz567rTEGeX5dZ5MOseJ7iZ9IB3fpF0GQU7ljR9q/72RRASCcn9Dz4eEu40RN+7Gb558IiXTx3dlbE9E7jv4zVk5zdvlkTqN2/Tbq56fgFvLc7kn5+va5XX3FtUxs78EgakHtjhOLpHAi9dM5Z9+8u46Kk5bG7CUvXMOVuYu2kPfzxrAF0TIo98YvFep+/j53dBv9Ph+m8h7agjny9tR4yCMRFpC8JinEbisZ3h5fNh2f/gmJsgqWEFLeuVNhLK90NuE3csbV/s5NvUtrW/5/Ew/FIn923nysOfB4KCDPefN5Syiir++O5KLVe2oAVb9vDzGQtI6xDBOSPSmPnjFpZn7mvx112zMx+gembMY3jXeF65bhwlFVVc9NQcNmQXNOh+1lqWbtvHA5+u5aR+yVw4qo4aeFvnwZPHO/X0Jj0AF74IEfFNfSvS2vy8Cr+CMZFAEp0Ml7/tzEDFpsHxv/PevT25Xk3JG6ssh53LD84XO9Spf3Vycj642dkRVYueSVH8ZmJfPl+dzScr/fOHblu36Kc9XPXcfDrFhfO/a8fy58mDSIoO4/a3VlBRWdWir70mywmy+nc6PIF9UOc4Xr1uHBaY+vRcVu/IP+ycisoqVmTmMf37zfzixUWMvu8Lpjz2A+EhLu4/b+jhfU6tdTpCvDDZ6cVqcJYlx/1C+Vv+xs+r8Ku0hUig6dADbvjBqSsW2oAdYw2VkA4RCc5y46ifN+7anNVQUQKdRxz5nMgEmHQ/vH2ts/V/zLW1nnbN+J58uHwHd7+3imN6JRIf6Z2yBwJLtu7lyucWkBIbzivXjiMlJhyAP589iBteXsyMH7dwTWNqczXSmqx8kqLDSI6pvUNE344xvH790VzyzFwufmYuz1wxioqqKhZs3svCn/aw+Ke9FJU5gXyXDhEc3yeZUT0SOKl/Mh1jww/cqLICVr8LP/zbafMV3QlO+bNTLkY7Gf2XH1fhVzAmEoiikrx/T2Ocma2mJPF7rqlrZgxgyAXOzsov/gz9zqi1GXqwK4gHzhvK2Y/+wF8/WsM/LmhCqQE5zLJt+7hi+nwSo0N55dpxBwUvkwZ3YkL/FP75+XomDe5Elw515F01w9qd+Qfli9WmZ1KUE5A9O5cLn5oDOP9p9usYw7lHdWF0zwRG9+hAalwtu4fLimDJy07dsH1bnbpeZz8KQy9seIswabuiO/rtbkoFYyLScF1GwddfOLXBwhrRRmb7YmdWrUOPus8zBs58GB4/Gj75vbMpoRaDOsdx/fHpPP71RiYP71x/Gyap04rMPC6fPo/4qBBeuXYcneLCD3reGMNfpgxm4sPfcPd7q5h+5ajDl/yaqaKyivXZhfz8mB71nts1IZI3rj+GD5btoHdKNEd160BcZB2V+ot2Oc225z/ttC/qMsaZhe17ulPvTgKDH1fhVzAmIg2XNgqwzq7Knsc3/Lrti51daQ35BZ7QE068Db74E7x6qdNUPMjd68+4nH+DXNxCEF1jdrDhtXcZffaZhPca3zIzggFu5fY8Lps+j9gIJxDrHF97Pbq0+AhumdiXv360ho9X7OTMoaleHcemXUWUVVTRv56ZMY9OceFce3w9S6bZq5wgbNmrUFHszLYee7PTxkgCjx9X4VcwJiIN59nmn7mw4cFYWZGzA3PAWQ1/naNvgh1LIWup84O1qtLJgbPuf6uqCK6q4KKqSoKqyuDt153rEvtA96OdiubdjnZm4pSIfUSrd+Rz2fR5RIcF88q14+pdfrzqmB68u3Q7f/pgFcf1TSI23Ht9I9dk1b6TstEqymDN+07B461zIDgchpwPx/wKkvt5YaTSZtWswh+d4uvRNIqCMRFpuMgEJ5G/MXljWcvAVh1e7LUurhCnQnk9goA3523klXff45LU7ZyTsI2g1e/B4hecE6I7ObMg3Y9xvjoOVnDmtnZnPpc+O5eIEBevXDuu7vpbbsGuIP5+zlAmP/Y9D366lr9OGeK18azJKiDEZeiVEAYZXzplJZL6Ob0bGyJvOyya4XwV5TiB+MR7nYbbkQleG6e0YTWr8CsYE5GAljYKtnzX8POrk/dbpnjm+WN7UVR5Lre+v4pvUzrz8O+G4tq1zpkV2ToHts51ds4BxHV1uhH0PxO6HVN7zbN2YOX2PK58bj5hwU4g1i2x4Qn5Q7rEceUxPZjx4xbOGdGFkd07eGVMm7fv5LexXxLy6O8gP/PAE3HdnBmtlP5OweDk/s73YTFOaYrN38KCZ2Dtx07Q3+dUZydurwnKB2tvalbhb0oPUR9qnz+JRKTpuoyCFa87MxG17HY8zPbFThDUgn+pXnlMD/aXVfLAp2uJCHHx93OHYDoOhNHTnBP2bYNNX8O6j52Zk3lPQkQH6DvJCcx6nezdMiBt2I8Zu7juxUXERYTw4rQx9GhIw+xD3HpqPz5duZM/vL2CD381nhBXM4KegmyY/xQPZT5JLEWQMh5Ovx8wzvJ27jrIWesEXZU1GobHdnGC6b1bnM/y6Bud0hQJPZs+FvFvflyFX8GYiDRO2ijn3+0LGxiMLWqVljI3nNiL/WUV/Hd2BhGhLu4+a+CBHX/xXeGoy52vsiKn0Ofaj2DdJ04pjeBwSD/JCcw6DnIampfsg+J9Toscz+MSz/d5zpLn8Eug+7F+s/T54fId3PLaMnomRTHz6jGH7ZpsqOiwYP589iCue3ERz3y3if87sQldHnZtcHpALnsFW1nOd5WjqRj7SyafdfaBc2rmGVZVOoFX7lr31zonN+iE22DQORBS+8YDaUf8uAq/gjERaZxOg8EV6iTxD5xc97lFu2HfTwdmqFrYLRP7UlRayXM/bCYqNJjfnlZLwnZoFAz4mfNVWQFbf3QCs7UfwfpPar+xK9SZfQmPd3KZIhNh9fuw9GUnN2n4pTDsYifoa6NemLOFe95fxajuHXj2itF1l4JogFMHdeK0QR35zxcbOHNIKt0TGzjDtnWe0/Zq7UdOba8Rl7M47RJufC2bl/qNPfJ1QS5I7OV8NbfxvQQmP67Cr2BMRBonOAw6DW1YEv+Oxc6/jUnebwZjDH88awD7yyp49CtnhuzGk+qYtXEFO7tCex5PxcS/sWrJD8SWZtOza9qBwCs83pl1OXT2q6wI1nwAS16Cr+6Dr/4G6SfA8MucGZ02MlNjreXhWev57+wMThnQkUcvGUF4SB3b/guyIXM+bJsPmQucGcGff1xrEvyfzx7MKQ9/w13vruSFq8fUX3vszath5VtOYHv872DMdRCdzJLvNgHZ9RZ8FamXn1bhVzAmIo3XZZSzY7Gyou4k+O2LAQOdh7fWyDDGcN85Qygur+Shz9YRFeriqmNrzyOqqKxi3uY9fLQii89W7mR3URmhwdG8dt0ARnSsJzE9NAqGTXW+9m6Bpa/A0v/B29dAWBwMPteZMUsd2nrV3StKYe9PUFUOoVFUuCL582dbeHFRDlNHd+OvUwYTXDO/q7LcaQeUucAdfM13KtODMxvYcbCTt7X0ZTjml4e9XKe4cH57al/+9MFq3l+2g8nD61i2zlrmBGJjrodT7jkoR29NVgEpMWEkRqsKvjSTn1bhVzAmIo2XNtJJgs9d6yxbHsn2RQd2vrUiV5DhHxcMo7iskj99sJrI0GAuHO0sIVZUVjFn024+XpHFZ6uy2VNURmSoi5P7pzBxYEf+8fk6rntxEe/deOwRC6AepkMPOOkOJ39py3dO8LLsFVj0vPN8TCrEd6vlqzvEdWlcsFZR6gR/ezbB7o3Ov3s2wu5NkLcNsNWnBgP3An8JN7AuCvOvKCcIColylv1y1znFUAFiOkPX0U6w1HWMsxstOAymn+b0Ch13Y627Ey8/ugfvLNnOg5+u4+xhnY88O7ZgOgRHwEl/OGyzxJqs/ObXFxMBv63Cr2BMRBrP02Ny+8IjB2PWOsuUfU5tvXHVEOIK4r+XjODaFxZx29vLyS0sZevu/Xy+eid795cTFepiwoCOnDGkEyf0TSEi1Fm6G5Aay7mP/8g1Mxfy5g1HExnaiB+TQUHOUmX6CXDGQ7BhlhMw7dvq5M5tmw8r33YKU9YUmQhBIU6AZFzOkmj146ADj0vzIC/TKeHgER4HCb2g21hIuAQSelJUGcyMr1eRs3s3PxsQz6jOoc6yquerfL/TuH3Uz6HLaCf4iutS+3saPc1p3r75G+h10mFPu4IMl4ztxm1vrWDtzoLag6qSPFjxBgw5z1n6raG8soqMnEKO66vuCeIFflqFX8GYiDReQrrTazJzIYy8qvZz8rZBUS50HtGqQ6spLNjFU5eN5Mrn5/PQZ+uIDgtmwoAUzhiSygl9k2vNnerbMYb/XjyCaTMXcMtry3j80qMICmrCbsnwOKfy+6EqK5xllH1bD3wV7qzuLICtcncaqARbRUVlBXsLi9lTWEp+ZUfyUyZQHN2d8rie2IR0IuKSiYsIITYihLiIECqqLL94cRGbdkfyr4uGM2po5yb8L1fDgLMh4jZYOL3WYAzgpH5O2ZLZa3NqD8aWveYEgKMO38ixKbeIssoqBmpmTLzBT6vwKxgTkcYzxpkdqyuJv7rY68jWGdMRRIS6mPHz0Szduo+juneoO3nd7aT+KfzhjAH89aM1PDxrfe27MpvKFezsuozvChx72NNlFVUs3baPHzJ28ePGXSzZuo+KKkuoK4jU+HDyc8vJ31ZBZZUFtrm/DhYV6mLGz8dwbG8vzDaFhDtV7Oc8Bvk7IPbw4C4lNpzBabF8tTbn8A0T1jqBXOcRtZY48VobJBHw2yr8CsZEpGm6jIKvv4DSgtpzwrYvPpAE7mORocEc08jAZNr4nmzILuTRrzLo0zG67uT0ZiivrGJ9dgE/Zuzmh427mL95D/vLKjEGhqTFcc1x6RzbO5FR3ROql1KttRSVVZJXXE7e/nLn3+Jy8ovLyS8p54S+yfTp6MU8vVE/d8pRLH7RaeJei5P7pfDoVxnsLSqjQ1TogSd++tHJLTz70VqvW5OVT6griJ5NKD4rchg/rcKvYExEmiZtFGBhx5Lam4ZvXwydhji1f/yQMYZ7pwxm8+4ifvfmcrolRDKiW9Nb/xSXVbIxt5CMnBpfuYX8tLuI8kon6T49OYrzR3bhmF5JHJ2eeMRaYMYYosOCiQ4LJq2hmwyaIyHd6VKwaAYcd2utO2hP6p/CI7Mz+HZD7sGB68LpzpLt4PNqvfXqrHz6dIxuXhV/EQ8/rcJfbzBmjHkOOAvIsdYOdh9LAF4DegBbgAuttXvdz90BTAMqgV9Zaz9zHx8JzAAigI+Bm6211hgTBrwAjAR2AxdZa7d47R2KSMvwLDllLjw8GKuqhKylToV6PxYaHMSTl41kymM/cO0Li3j/pobvsFy9I5/3l+1g7c58NmQXsn1fcfVzriBD94RIeqVEc+rAjvTtGMO49MQmV8RvFaOmwWuXwobPai26OqxLPIlRocxem3MgGCvMcYrjjr4GQmvvf7l2ZwEn9E1uyZFLe+KnVfgbMjM2A3gUJ2DyuB340lp7vzHmdvf3txljBgJTgUFAZ+ALY0xfa20l8ARwHTAXJxibBHyCE7jttdb2NsZMBR4ALvLGmxORFhSZ4MyY1JY3tms9lBW2WrHXlpQQFcr0K0c1aIdlYWkF7y/dwasLtrI8M48Ql6FPSgwju3fgotFd6Z0STe+UaHokRhEa7GczQX0nOeUvFkyvNRgLCjKc0C+Z2WtzqKyyuIKMUxC3qtzpGVmLXYWl5BaU0r+Tir2Kl/hpFf56gzFr7bfGmB6HHJ4MnOh+PBP4GrjNffxVa20psNkYkwGMMcZsAWKttXMAjDEvAFNwgrHJwJ/c93oTeNQYY6y1B4rliEjblDbKqat1qO3uyvs+Tt73lj4dY3jkkhFMm7GA37y2lCcuHVm9w9Jay9Jt+3h1/jY+WL6D/WWV9O0Yzd1nDeTco9KIj/TPZdrDuIJh5JXw9d+d2mYJ6YedcnL/FN5evJ0lW/cyqlucU2etx3GQ3LfWW3qS97WTUrzKD6vwN/VPs47W2iwA97+eLQtpHLy1J9N9LM39+NDjB11jra0A8oDEJo5LRFpTl1HOrqW87Qcf374IwmIhsQkNpNuok/o5Oyw/W5XNw7PWk7e/nBk/bOb0/3zHOY//yPvLdnDmkFTeuuEYPvv18Vw9vmfgBGIeR13h1DtbNKPWp4/rk4wryDB7bQ5kfOmU7TjCrBjA2qwCAPorGBNv8sMq/N5O4K+tGI+t43hd1xx+c2Ouw1nqpFu3bk0Zn4h4U9oo59/tCyGuRtL2jsVOC6RaKrb7s2nje5KR4+ywfPq7TZRVVDE4LZa/ThnM5OGdiQlvXvPtNi+2M/Q73Vl+POnOwzoHxEWEMLJ7B2avzeH3e6ZDVAr0P+uIt1uTlU/H2DASogIsaBXf8sMq/E0NxrKNManW2ixjTCqQ4z6eCXStcV4XYIf7eJdajte8JtMYEwzEAXtqe1Fr7dPA0wCjRo3SMqaIr3Ua7JSvyFwIAyc7x8pLYOdKOPpG346tBRhj+MvkwVRUWcKCg7h4TDcGp8X5elita/Q0WPuhk5g/9ILDnj65fwovfvIddt9nmONurXM37Wq1QZKW4IdV+Jv6Z+v7wJXux1cC79U4PtUYE2aM6Qn0Aea7lzILjDHjjNO47IpDrvHc63xgtvLFRPxEcBh0GnpwEn/2SidpO0DyxQ4VGhzEPy4Yxn3nDGl/gRhAzxOdfLGF02t9+uT+KVwcPBuLOXJ3BpzithtzCxWMiffVrMLvJ+oNxowxrwBzgH7GmExjzDTgfmCiMWYDMNH9PdbaVcDrwGrgU+BG905KgBuAZ4EMYCNO8j7AdCDRnex/C87OTBHxF2kjnVpjlRXO9wGWvC+HCAqCkT+HrXMge9VhT/dJDOWS4K9ZHjnW3WWgdhtzCymvtArGxPtqVuH3E/UGY9bai621qdbaEGttF2vtdGvtbmvtBGttH/e/e2qcf5+1tpe1tp+19pMaxxdaawe7n7vJM/tlrS2x1l5gre1trR1jrd3UMm9VRFpEl1FO38Hctc732xc5CbS1tM2RADH8UnCFwcLnD3vKrP2QBPJ4vOAESsora7nYUd0GSWUtxNui/a/wa2Bl14pI6/PMgG1f6Py7Y7FzzDShubb4h6hEGDQFlr0KpYUHP7fgOYqjujCrfDBzNx15mWhNVj6hwWqDJC3AD6vwKxgTkeZJSIeIBCeJvyTPKfgaAMVepR6jpkFZAax888CxnLXw0/cEj5lGWEgwX63NOeLla3cW0K9jDMFqgyTe5odV+PX/AhFpHmOcmbDti2DHUudYmoKxgNd1jNMEfsF08Oy5WvgcBIUQMuoKjumVxOx1ORxpP9aarHxV3peW4YdV+BWMiUjzdRnl1PXZ/I3zfecRvh2PtDxjYNTPYedyJxAvK4JlrzglTqKSOKl/Ctv2FLMxt/CwS3MKSthVWKbkfWk5flaFX8GYiDRf2kjAwuIXnWXLyARfj0haw9CLIDTamRFb8SaU5jt1yHBKXABONf5DeCrvKxiTFuNnVfgVjIlI83mS+ItyVNKiPQmLgaEXwsq3YO7jkDwAuh0NQFp8BP06xtQajFXvpEzVMqW0kJhUKMj29SgaTMGYiDRfZMKBxtFK3m9fRl0NFSVOaZPR0w7aRXtS/xQWbtlLfkn5QZesyconNS488Hp3SttRswq/H1AwJiLe4elTqZmx9qXTEOgyBkKinGXLGk7un0JFleW79bsOOr4mq0BLlNKy/KwKv4IxEfGOfqdDXFdIHerrkUhrO+dJuPxtCD84wDqqWzxxESF8te7AUmVpRaW7DZKWKKUF+VkVfgVjIuIdg8+F36yEkAhfj0RaW2Iv6DbusMPBriCO75vM1+tyqKpySlxk5BRSUWXp30kzY9KC/KwKv4IxERFpMSf3T2ZXYRkrtucBzhIlaCeltDA/q8KvYExERFrMCX1TMOZAiYu1WfmEqQ2StDQ/q8KvYExERFpMQlQoI7rGV+eNrdmZT79OMbiC1LtUWpCfVeFXMCYiIi3q5P4pLM/MI6egxNlJqXwxaQ2xnWHbfCgv8fVI6qVgTEREWtRJ7mr8byzMZE9RmXZSSus47reQvRLe+z+oqvL1aOqkYExERFrUwNRYOsWG89z3mwHor+R9aQ2DpsCEe5wOEV//zdejqZOCMRERaVHGGE7qn8zuojIALVNK6xn/GxhxOXz7ECz9n69Hc0QKxkREpMWd1M9ZqkyLjyAuMsTHo5F2wxg461/Q8wR4/1ew+Vtfj6hWCsZERKTFHds7iVBXEP07KV9MWpkrBC58wSlO/NplkLve1yM6jIIxERFpcVFhwTx0wVBuOrm3r4ci7VFEPFzyOrhC4eXzoWhXvZe0JgVjIiLSKiYPT2NEtw6+Hoa0Vx26w8WvQWE2vHIxlBf7ekTVFIyJiIhI+9BlJJz7NGQugHdvaDMlLxSMiYiISPsxcDJM/Ausegdm3+vr0QAQ7OsBiIiIiLSqY34JezbB9w9DQk846gqfDkfBmIiIiLQvxsAZ/4B9W+HD30BcV+h1ks+Go2VKERERaX9cwXDBDOg0BIr3+nQomhkTERGR9ik8Fq75EoJcPh2GZsZERESk/fJxIAYKxkRERER8SsGYiIiIiA8pGBMRERHxIQVjIiIiIj6kYExERETEhxSMiYiIiPiQgjERERERH1IwJiIiIuJDCsZEREREfEjBmIiIiIgPKRgTERER8SEFYyIiIiI+pGBMRERExIeaFYwZY35jjFlljFlpjHnFGBNujEkwxswyxmxw/9uhxvl3GGMyjDHrjDGn1Tg+0hizwv3cI8YY05xxiYiIiPiLJgdjxpg04FfAKGvtYMAFTAVuB7601vYBvnR/jzFmoPv5QcAk4HFjjMt9uyeA64A+7q9JTR2XiIiIiD9p7jJlMBBhjAkGIoEdwGRgpvv5mcAU9+PJwKvW2lJr7WYgAxhjjEkFYq21c6y1FnihxjUiIiIiAa3JwZi1djvwD2ArkAXkWWs/Bzpaa7Pc52QBKe5L0oBtNW6R6T6W5n586PHDGGOuM8YsNMYszM3NberQRURERNqM4KZe6M4Fmwz0BPYBbxhjLqvrklqO2TqOH37Q2qeBp92vn2uM+akxYz5EErCrGddL8+kzaBv0OfiePoO2QZ+D7wXyZ9D9SE80ORgDTgE2W2tzAYwxbwPHANnGmFRrbZZ7CTLHfX4m0LXG9V1wljUz3Y8PPV4na21yM8aOMWahtXZUc+4hzaPPoG3Q5+B7+gzaBn0OvtdeP4Pm5IxtBcYZYyLdux8nAGuA94Er3edcCbznfvw+MNUYE2aM6YmTqD/fvZRZYIwZ577PFTWuEREREQloTZ4Zs9bOM8a8CSwGKoAlOEuI0cDrxphpOAHbBe7zVxljXgdWu8+/0Vpb6b7dDcAMIAL4xP0lIiIiEvCMs4Gx/THGXOfOQRMf0WfQNuhz8D19Bm2DPgffa6+fQbsNxkRERETaArVDEhEREfGhdheMGWMmudsxZRhjbvf1eNoLY8xzxpgcY8zKGseO2DpLvM8Y09UY85UxZo27jdnN7uP6HFqRu23cfGPMMvfn8Gf3cX0OrcwY4zLGLDHGfOj+Xp9BKzPGbHG3Q1xqjFnoPtbuPod2FYy52y89BpwODAQudrdpkpY3g8PbXNXaOktaTAVwq7V2ADAOuNH9378+h9ZVCpxsrR0GDAcmGWPGoc/BF27GqQLgoc/AN06y1g6vUdKi3X0O7SoYA8YAGdbaTdbaMuBVnMK10sKstd8Cew45fKTWWdICrLVZ1trF7scFOL+E0tDn0Kqso9D9bYj7y6LPoVUZY7oAZwLP1jisz6BtaHefQ3sLxo7Ukkl840its6SFGWN6ACOAeehzaHXu5bGlOEWxZ1lr9Tm0vn8DvweqahzTZ9D6LPC5MWaRMeY697F29zk0pwK/P2pw6yWRQGWMiQbeAn5trc13ai1La3LXWBxujIkH3jHGDPbxkNoVY8xZQI61dpEx5kQfD6e9O9Zau8MYkwLMMsas9fWAfKG9zYwdqSWT+Ea2u2UWh7TOkhZijAnBCcRetta+7T6sz8FHrLX7gK9x8in1ObSeY4GzjTFbcNJVTjbGvIQ+g1Znrd3h/jcHeAcnnajdfQ7tLRhbAPQxxvQ0xoQCU3HaNIlvHKl1lrQAd7ux6cAaa+3DNZ7S59CKjDHJ7hkxjDEROH1+16LPodVYa++w1nax1vbA+T0w21p7GfoMWpUxJsoYE+N5DJwKrKQdfg7truirMeYMnFwBF/CctfY+346ofTDGvAKcCCQB2cA9wLvA60A33K2zrLWHJvmLlxhjxgPfASs4kCfzB5y8MX0OrcQYMxQnKdmF8wfx69bavxhjEtHn0Orcy5S/tdaepc+gdRlj0nFmw8BJm/qftfa+9vg5tLtgTERERKQtaW/LlCIiIiJtioIxERERER9SMCYiIiLiQwrGRERERHxIwZiIiIiIDykYExFpIGPM18aYUfWfKSLScArGRERERHxIwZiIBCxjzO+NMb9yP/6XMWa2+/EEY8xLxphTjTFzjDGLjTFvuPt2YowZaYz5xt28+DNPa5Ya9w0yxsw0xvy19d+ViAQaBWMiEsi+BY5zPx4FRLv7c47H6URwF3CKtfYoYCFwi/v5/wLnW2tHAs8BNTt1BAMvA+uttXe1ztsQkUAW7OsBiIi0oEXASHf/u1JgMU5QdhxO/7uBwA9O205CgTlAP2AwMMt93AVk1bjnUzgtjNRKTUS8QsGYiAQsa225MWYL8HPgR2A5cBLQC9gMzLLWXlzzGmPMEGCVtfboI9z2R+AkY8w/rbUlLTZ4EWk3tEwpIoHuW+C37n+/A34BLAXmAscaY3oDGGMijTF9gXVAsjHmaPfxEGPMoBr3mw58DLxhjNEftCLSbArGRCTQfQekAnOstdlACfCdtTYXuAp4xRizHCc462+tLQPOBx4wxizDCdyOqXlDa+3DOEueLxpj9HNURJrFWGt9PQYRERGRdkt/0YmIiIj4kIIxERERER9SMCYiIiLiQwrGRERERHxIwZiIiIiIDykYExEREfEhBWMiIiIiPqRgTERERMSH/h/y9XJgQ6s1lAAAAABJRU5ErkJggg==\n",
+ "text/plain": [
+ "<Figure size 720x576 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "deaths_headlines[[2020, 'previous_mean']].plot(figsize=(10, 8))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 582,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<AxesSubplot:xlabel='week'>"
+ ]
+ },
+ "execution_count": 582,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "deaths_headlines_i.plot()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 591,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "83207.6000000001"
+ ]
+ },
+ "execution_count": 591,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "deaths_headlines[2020].sum() - deaths_headlines.previous_mean.sum()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 583,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 720x720 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#\n",
+ "\n",
+ "dhna = deaths_headlines.dropna()\n",
+ "\n",
+ "fig = plt.figure(figsize=(10, 10))\n",
+ "ax = fig.add_subplot(111, projection=\"polar\")\n",
+ "\n",
+ "theta = np.roll(\n",
+ " np.flip(\n",
+ " np.arange(len(dhna))/float(len(dhna))*2.*np.pi),\n",
+ " 14)\n",
+ "# l15, = ax.plot(theta, deaths_headlines['total_2015'], color=\"#b56363\", label=\"2015\") # 0\n",
+ "# l16, = ax.plot(theta, deaths_headlines['total_2016'], color=\"#a4b563\", label=\"2016\") # 72\n",
+ "# l17, = ax.plot(theta, deaths_headlines['total_2017'], color=\"#63b584\", label=\"2017\") # 144\n",
+ "# l18, = ax.plot(theta, deaths_headlines['total_2018'], color=\"#6384b5\", label=\"2018\") # 216\n",
+ "# l19, = ax.plot(theta, deaths_headlines['total_2019'], color=\"#a4635b\", label=\"2019\") # 288\n",
+ "l15, = ax.plot(theta, dhna[2015], color=\"#e47d7d\", label=\"2015\") # 0\n",
+ "l16, = ax.plot(theta, dhna[2016], color=\"#afc169\", label=\"2016\") # 72 , d0e47d\n",
+ "l17, = ax.plot(theta, dhna[2017], color=\"#7de4a6\", label=\"2017\") # 144\n",
+ "l18, = ax.plot(theta, dhna[2018], color=\"#7da6e4\", label=\"2018\") # 216\n",
+ "l19, = ax.plot(theta, dhna[2019], color=\"#d07de4\", label=\"2019\") # 288\n",
+ "\n",
+ "lmean, = ax.plot(theta, dhna['previous_mean'], color=\"black\", linestyle='dashed', label=\"mean\")\n",
+ "\n",
+ "l20, = ax.plot(theta, dhna[2020], color=\"red\", label=\"2020\")\n",
+ "\n",
+ "# deaths_headlines.total_2019.plot(ax=ax)\n",
+ "\n",
+ "def _closeline(line):\n",
+ " x, y = line.get_data()\n",
+ " x = np.concatenate((x, [x[0]]))\n",
+ " y = np.concatenate((y, [y[0]]))\n",
+ " line.set_data(x, y)\n",
+ "\n",
+ "[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]\n",
+ "\n",
+ "\n",
+ "ax.set_xticks(theta)\n",
+ "ax.set_xticklabels(dhna.index)\n",
+ "plt.legend()\n",
+ "plt.title(\"Deaths by week over years, all UK\")\n",
+ "plt.savefig('deaths-radar.png')\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "source": [
+ "# Plots for UK nations"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 584,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 720x720 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#\n",
+ "\n",
+ "fig = plt.figure(figsize=(10, 10))\n",
+ "ax = fig.add_subplot(111, projection=\"polar\")\n",
+ "\n",
+ "theta = np.roll(\n",
+ " np.flip(\n",
+ " np.arange(len(deaths_headlines_e))/float(len(deaths_headlines_e))*2.*np.pi),\n",
+ " 14)\n",
+ "l15, = ax.plot(theta, deaths_headlines_e[2015], color=\"#e47d7d\", label=\"2015\") # 0\n",
+ "l16, = ax.plot(theta, deaths_headlines_e[2016], color=\"#afc169\", label=\"2016\") # 72 , d0e47d\n",
+ "l17, = ax.plot(theta, deaths_headlines_e[2017], color=\"#7de4a6\", label=\"2017\") # 144\n",
+ "l18, = ax.plot(theta, deaths_headlines_e[2018], color=\"#7da6e4\", label=\"2018\") # 216\n",
+ "l19, = ax.plot(theta, deaths_headlines_e[2019], color=\"#d07de4\", label=\"2019\") # 288\n",
+ "\n",
+ "lmean, = ax.plot(theta, deaths_headlines_e['previous_mean'], color=\"black\", linestyle='dashed', label=\"mean\")\n",
+ "\n",
+ "l20, = ax.plot(theta, deaths_headlines_e[2020], color=\"red\", label=\"2020\")\n",
+ "\n",
+ "# deaths_headlines.total_2019.plot(ax=ax)\n",
+ "\n",
+ "def _closeline(line):\n",
+ " x, y = line.get_data()\n",
+ " x = np.concatenate((x, [x[0]]))\n",
+ " y = np.concatenate((y, [y[0]]))\n",
+ " line.set_data(x, y)\n",
+ "\n",
+ "[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]\n",
+ "\n",
+ "\n",
+ "ax.set_xticks(theta)\n",
+ "ax.set_xticklabels(deaths_headlines_e.index)\n",
+ "plt.legend()\n",
+ "plt.title(\"Deaths by week over years, England\")\n",
+ "plt.savefig('deaths-radar_england.png')\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 585,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 720x720 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#\n",
+ "\n",
+ "fig = plt.figure(figsize=(10, 10))\n",
+ "ax = fig.add_subplot(111, projection=\"polar\")\n",
+ "\n",
+ "theta = np.roll(\n",
+ " np.flip(\n",
+ " np.arange(len(deaths_headlines_w))/float(len(deaths_headlines_w))*2.*np.pi),\n",
+ " 14)\n",
+ "l15, = ax.plot(theta, deaths_headlines_w[2015], color=\"#e47d7d\", label=\"2015\") # 0\n",
+ "l16, = ax.plot(theta, deaths_headlines_w[2016], color=\"#afc169\", label=\"2016\") # 72 , d0e47d\n",
+ "l17, = ax.plot(theta, deaths_headlines_w[2017], color=\"#7de4a6\", label=\"2017\") # 144\n",
+ "l18, = ax.plot(theta, deaths_headlines_w[2018], color=\"#7da6e4\", label=\"2018\") # 216\n",
+ "l19, = ax.plot(theta, deaths_headlines_w[2019], color=\"#d07de4\", label=\"2019\") # 288\n",
+ "\n",
+ "lmean, = ax.plot(theta, deaths_headlines_w['previous_mean'], color=\"black\", linestyle='dashed', label=\"mean\")\n",
+ "\n",
+ "l20, = ax.plot(theta, deaths_headlines_w[2020], color=\"red\", label=\"2020\")\n",
+ "\n",
+ "\n",
+ "def _closeline(line):\n",
+ " x, y = line.get_data()\n",
+ " x = np.concatenate((x, [x[0]]))\n",
+ " y = np.concatenate((y, [y[0]]))\n",
+ " line.set_data(x, y)\n",
+ "\n",
+ "[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]\n",
+ "\n",
+ "\n",
+ "ax.set_xticks(theta)\n",
+ "ax.set_xticklabels(deaths_headlines_w.index)\n",
+ "plt.legend()\n",
+ "plt.title(\"Deaths by week over years, Wales\")\n",
+ "plt.savefig('deaths-radar_wales.png')\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 586,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 720x720 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#\n",
+ "\n",
+ "fig = plt.figure(figsize=(10, 10))\n",
+ "ax = fig.add_subplot(111, projection=\"polar\")\n",
+ "\n",
+ "theta = np.roll(\n",
+ " np.flip(\n",
+ " np.arange(len(deaths_headlines_s))/float(len(deaths_headlines_s))*2.*np.pi),\n",
+ " 14)\n",
+ "l15, = ax.plot(theta, deaths_headlines_s[2015], color=\"#e47d7d\", label=\"2015\") # 0\n",
+ "l16, = ax.plot(theta, deaths_headlines_s[2016], color=\"#afc169\", label=\"2016\") # 72 , d0e47d\n",
+ "l17, = ax.plot(theta, deaths_headlines_s[2017], color=\"#7de4a6\", label=\"2017\") # 144\n",
+ "l18, = ax.plot(theta, deaths_headlines_s[2018], color=\"#7da6e4\", label=\"2018\") # 216\n",
+ "l19, = ax.plot(theta, deaths_headlines_s[2019], color=\"#d07de4\", label=\"2019\") # 288\n",
+ "\n",
+ "lmean, = ax.plot(theta, deaths_headlines_s['previous_mean'], color=\"black\", linestyle='dashed', label=\"mean\")\n",
+ "\n",
+ "l20, = ax.plot(theta, deaths_headlines_s[2020], color=\"red\", label=\"2020\")\n",
+ "\n",
+ "\n",
+ "def _closeline(line):\n",
+ " x, y = line.get_data()\n",
+ " x = np.concatenate((x, [x[0]]))\n",
+ " y = np.concatenate((y, [y[0]]))\n",
+ " line.set_data(x, y)\n",
+ "\n",
+ "[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]\n",
+ "\n",
+ "\n",
+ "ax.set_xticks(theta)\n",
+ "ax.set_xticklabels(deaths_headlines_s.index)\n",
+ "plt.legend()\n",
+ "plt.title(\"Deaths by week over years, Scotland\")\n",
+ "plt.savefig('deaths-radar_scotland.png')\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 587,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 720x720 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#\n",
+ "\n",
+ "fig = plt.figure(figsize=(10, 10))\n",
+ "ax = fig.add_subplot(111, projection=\"polar\")\n",
+ "\n",
+ "theta = np.roll(\n",
+ " np.flip(\n",
+ " np.arange(len(deaths_headlines_i))/float(len(deaths_headlines_i))*2.*np.pi),\n",
+ " 14)\n",
+ "l15, = ax.plot(theta, deaths_headlines_i[2015], color=\"#e47d7d\", label=\"2015\") # 0\n",
+ "l16, = ax.plot(theta, deaths_headlines_i[2016], color=\"#afc169\", label=\"2016\") # 72 , d0e47d\n",
+ "l17, = ax.plot(theta, deaths_headlines_i[2017], color=\"#7de4a6\", label=\"2017\") # 144\n",
+ "l18, = ax.plot(theta, deaths_headlines_i[2018], color=\"#7da6e4\", label=\"2018\") # 216\n",
+ "l19, = ax.plot(theta, deaths_headlines_i[2019], color=\"#d07de4\", label=\"2019\") # 288\n",
+ "\n",
+ "lmean, = ax.plot(theta, deaths_headlines_i['previous_mean'], color=\"black\", linestyle='dashed', label=\"mean\")\n",
+ "\n",
+ "l20, = ax.plot(theta, deaths_headlines_i[2020], color=\"red\", label=\"2020\")\n",
+ "\n",
+ "\n",
+ "def _closeline(line):\n",
+ " x, y = line.get_data()\n",
+ " x = np.concatenate((x, [x[0]]))\n",
+ " y = np.concatenate((y, [y[0]]))\n",
+ " line.set_data(x, y)\n",
+ "\n",
+ "[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]\n",
+ "\n",
+ "\n",
+ "ax.set_xticks(theta)\n",
+ "ax.set_xticklabels(deaths_headlines_i.index)\n",
+ "plt.legend()\n",
+ "plt.title(\"Deaths by week over years, Northern Ireland\")\n",
+ "plt.savefig('deaths-radar_northern_ireland.png')\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "jupytext": {
+ "formats": "ipynb,md"
+ },
+ "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": "3.8.5"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
projects / covid19.git / blobdiff