{
"cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "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": 127,
+ "execution_count": 137,
"metadata": {},
"outputs": [],
"source": [
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 138,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- " publishedweek1620201.xlsx publishedweek522018withupdatedrespiratoryrow.xls\n",
- " publishedweek172020.csv publishedweek522019.xls\n",
- " publishedweek172020.ods 'Weekly_Deaths - Historical_NI.xls'\n",
- " publishedweek172020.xlsx Weekly_Deaths_NI_2020.xls\n",
- " publishedweek522016.xls weekly-march-20-scotland.zip\n",
+ " publishedweek1620201.xlsx publishedweek522018.csv\n",
+ " publishedweek172020.csv publishedweek522018.ods\n",
+ " publishedweek172020.ods publishedweek522018withupdatedrespiratoryrow.xls\n",
+ " publishedweek172020.xlsx publishedweek522019.csv\n",
+ " publishedweek182020.csv publishedweek522019.ods\n",
+ " publishedweek182020.ods publishedweek522019.xls\n",
+ " publishedweek182020.xlsx 'Weekly_Deaths - Historical_NI.xls'\n",
+ " publishedweek2015.csv\t Weekly_Deaths_NI_2015.csv\n",
+ " publishedweek2015.ods\t Weekly_Deaths_NI_2016.csv\n",
+ " publishedweek2015.xls\t Weekly_Deaths_NI_2017.csv\n",
+ " publishedweek522016.csv Weekly_Deaths_NI_2018.csv\n",
+ " publishedweek522016.ods Weekly_Deaths_NI_2019.csv\n",
+ " publishedweek522016.xls Weekly_Deaths_NI_2020.csv\n",
+ " publishedweek522017.csv Weekly_Deaths_NI_2020.xls\n",
+ " publishedweek522017.ods weekly-march-20-scotland.zip\n",
" publishedweek522017.xls\n"
]
}
},
{
"cell_type": "code",
- "execution_count": 49,
+ "execution_count": 139,
"metadata": {},
"outputs": [],
"source": [
- "raw_data_2020 = pd.read_csv('uk-deaths-data/publishedweek172020.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
+ "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])"
+ " header=[0, 1]\n",
+ " )\n",
+ "dh15i = raw_data_2015.iloc[:, [2]]\n",
+ "dh15i.columns = ['total_2015']\n",
+ "# dh15i.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 140,
+ "metadata": {},
+ "outputs": [],
+ "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",
+ "dh16i = raw_data_2016.iloc[:, [2]]\n",
+ "dh16i.columns = ['total_2016']\n",
+ "# dh16i.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 141,
+ "metadata": {},
+ "outputs": [],
+ "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",
+ "dh17i = raw_data_2017.iloc[:, [2]]\n",
+ "dh17i.columns = ['total_2017']\n",
+ "# dh17i.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 142,
+ "metadata": {},
+ "outputs": [],
+ "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",
+ "dh18i = raw_data_2018.iloc[:, [2]]\n",
+ "dh18i.columns = ['total_2018']\n",
+ "# dh18i.head()"
]
},
{
"cell_type": "code",
- "execution_count": 50,
+ "execution_count": 143,
+ "metadata": {},
+ "outputs": [],
+ "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",
+ "dh19i = raw_data_2019.iloc[:, [2]]\n",
+ "dh19i.columns = ['total_2019']\n",
+ "# dh19i.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 144,
"metadata": {},
"outputs": [
{
" vertical-align: top;\n",
" }\n",
"\n",
- " .dataframe thead tr th {\n",
- " text-align: left;\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
- " <tr>\n",
- " <th>Week number</th>\n",
- " <th>Week ended</th>\n",
- " <th>Total deaths, all ages</th>\n",
- " <th>Total deaths: average of corresponding week over the previous 5 years 1 (England and Wales)</th>\n",
- " <th>Total deaths: average of corresponding week over the previous 5 years 1 (England)</th>\n",
- " <th>Total deaths: average of corresponding week over the previous 5 years (Wales)</th>\n",
- " <th>Unnamed: 6_level_0</th>\n",
- " <th>Unnamed: 7_level_0</th>\n",
- " <th>Unnamed: 8_level_0</th>\n",
- " <th>Persons</th>\n",
- " <th>Deaths by age group</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",
+ " <tr style=\"text-align: right;\">\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>Unnamed: 4_level_1</th>\n",
- " <th>Unnamed: 5_level_1</th>\n",
- " <th>Deaths by cause</th>\n",
- " <th>Deaths where the underlying cause was respiratory disease (ICD-10 J00-J99)</th>\n",
- " <th>Deaths where COVID-19 was mentioned on the death certificate (ICD-10 U07.1 and U07.2)</th>\n",
- " <th>Unnamed: 9_level_1</th>\n",
- " <th><1</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",
+ " <th>total_2020</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td>1</td>\n",
- " <td>2020-01-03</td>\n",
- " <td>12254</td>\n",
- " <td>12175</td>\n",
- " <td>11412</td>\n",
- " <td>756</td>\n",
- " <td>NaN</td>\n",
- " <td>2141</td>\n",
- " <td>0</td>\n",
- " <td>NaN</td>\n",
- " <td>48</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",
+ " <td>353</td>\n",
" </tr>\n",
" <tr>\n",
" <td>2</td>\n",
- " <td>2020-01-10</td>\n",
- " <td>14058</td>\n",
- " <td>13822</td>\n",
- " <td>12933</td>\n",
- " <td>856</td>\n",
- " <td>NaN</td>\n",
- " <td>2477</td>\n",
- " <td>0</td>\n",
- " <td>NaN</td>\n",
- " <td>50</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",
+ " <td>395</td>\n",
" </tr>\n",
" <tr>\n",
" <td>3</td>\n",
- " <td>2020-01-17</td>\n",
- " <td>12990</td>\n",
- " <td>13216</td>\n",
- " <td>12370</td>\n",
- " <td>812</td>\n",
- " <td>NaN</td>\n",
- " <td>2189</td>\n",
- " <td>0</td>\n",
- " <td>NaN</td>\n",
- " <td>69</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",
+ " <td>411</td>\n",
" </tr>\n",
" <tr>\n",
" <td>4</td>\n",
- " <td>2020-01-24</td>\n",
- " <td>11856</td>\n",
- " <td>12760</td>\n",
- " <td>11933</td>\n",
- " <td>802</td>\n",
- " <td>NaN</td>\n",
- " <td>1893</td>\n",
- " <td>0</td>\n",
- " <td>NaN</td>\n",
- " <td>53</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",
+ " <td>347</td>\n",
" </tr>\n",
" <tr>\n",
" <td>5</td>\n",
- " <td>2020-01-31</td>\n",
- " <td>11612</td>\n",
- " <td>12206</td>\n",
- " <td>11419</td>\n",
- " <td>760</td>\n",
- " <td>NaN</td>\n",
- " <td>1746</td>\n",
- " <td>0</td>\n",
- " <td>NaN</td>\n",
- " <td>50</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",
+ " <td>323</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
- "<p>5 rows × 84 columns</p>\n",
"</div>"
],
"text/plain": [
- "Week number Week ended Total deaths, all ages \\\n",
- " Unnamed: 1_level_1 Unnamed: 2_level_1 \n",
- "1 2020-01-03 12254 \n",
- "2 2020-01-10 14058 \n",
- "3 2020-01-17 12990 \n",
- "4 2020-01-24 11856 \n",
- "5 2020-01-31 11612 \n",
- "\n",
- "Week number Total deaths: average of corresponding week over the previous 5 years 1 (England and Wales) \\\n",
- " Unnamed: 3_level_1 \n",
- "1 12175 \n",
- "2 13822 \n",
- "3 13216 \n",
- "4 12760 \n",
- "5 12206 \n",
- "\n",
- "Week number Total deaths: average of corresponding week over the previous 5 years 1 (England) \\\n",
- " Unnamed: 4_level_1 \n",
- "1 11412 \n",
- "2 12933 \n",
- "3 12370 \n",
- "4 11933 \n",
- "5 11419 \n",
- "\n",
- "Week number Total deaths: average of corresponding week over the previous 5 years (Wales) \\\n",
- " Unnamed: 5_level_1 \n",
- "1 756 \n",
- "2 856 \n",
- "3 812 \n",
- "4 802 \n",
- "5 760 \n",
- "\n",
- "Week number Unnamed: 6_level_0 \\\n",
- " Deaths by cause \n",
- "1 NaN \n",
- "2 NaN \n",
- "3 NaN \n",
- "4 NaN \n",
- "5 NaN \n",
- "\n",
- "Week number Unnamed: 7_level_0 \\\n",
- " Deaths where the underlying cause was respiratory disease (ICD-10 J00-J99) \n",
- "1 2141 \n",
- "2 2477 \n",
- "3 2189 \n",
- "4 1893 \n",
- "5 1746 \n",
- "\n",
- "Week number Unnamed: 8_level_0 \\\n",
- " Deaths where COVID-19 was mentioned on the death certificate (ICD-10 U07.1 and U07.2) \n",
- "1 0 \n",
- "2 0 \n",
- "3 0 \n",
- "4 0 \n",
- "5 0 \n",
- "\n",
- "Week number Persons Deaths by age group ... E12000001 E12000002 \\\n",
- " Unnamed: 9_level_1 <1 ... North East North West \n",
- "1 NaN 48 ... 673 1806 \n",
- "2 NaN 50 ... 707 1932 \n",
- "3 NaN 69 ... 647 1696 \n",
- "4 NaN 53 ... 612 1529 \n",
- "5 NaN 50 ... 561 1461 \n",
- "\n",
- "Week number E12000003 E12000004 E12000005 E12000006 \\\n",
- " Yorkshire and The Humber East Midlands West Midlands East \n",
- "1 1240 1060 1349 1162 \n",
- "2 1339 1195 1450 1573 \n",
- "3 1278 1106 1407 1457 \n",
- "4 1187 1024 1231 1410 \n",
- "5 1136 1015 1262 1286 \n",
- "\n",
- "Week number E12000007 E12000008 E12000009 W92000004 \n",
- " London South East South West Wales \n",
- "1 1113 1814 1225 787 \n",
- "2 1272 2132 1487 939 \n",
- "3 1073 2064 1466 767 \n",
- "4 1028 1833 1253 723 \n",
- "5 1092 1820 1233 727 \n",
- "\n",
- "[5 rows x 84 columns]"
+ " total_2020\n",
+ "1 353\n",
+ "2 395\n",
+ "3 411\n",
+ "4 347\n",
+ "5 323"
]
},
- "execution_count": 50,
+ "execution_count": 144,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "raw_data_2020.head()"
+ "raw_data_2020_i = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2020.csv', \n",
+ " parse_dates=[1], dayfirst=True,\n",
+ " index_col=0,\n",
+ " header=[0, 1]\n",
+ " )\n",
+ "deaths_headlines_i = raw_data_2020_i.iloc[:, [1]]\n",
+ "deaths_headlines_i.columns = ['total_2020']\n",
+ "deaths_headlines_i.head()"
]
},
{
"cell_type": "code",
- "execution_count": 78,
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
"metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 185,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [],
+ "source": [
+ "raw_data_s = pd.read_csv('uk-deaths-data/weekly-deaths-april-20-scotland.csv', \n",
+ " index_col=0,\n",
+ " header=0,\n",
+ " skiprows=2\n",
+ " )\n",
+ "# raw_data_s"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 184,
+ "metadata": {
+ "scrolled": true
+ },
"outputs": [
{
"data": {
" vertical-align: top;\n",
" }\n",
"\n",
- " .dataframe thead tr th {\n",
- " text-align: left;\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
- " <tr>\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>Unnamed: 10_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",
+ " <tr style=\"text-align: right;\">\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>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>45-64</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",
+ " <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",
" <td>1</td>\n",
- " <td>2019-01-04</td>\n",
- " <td>10955</td>\n",
- " <td>12273</td>\n",
- " <td>NaN</td>\n",
- " <td>1736</td>\n",
- " <td>NaN</td>\n",
- " <td>43</td>\n",
- " <td>15</td>\n",
- " <td>215</td>\n",
- " <td>1199</td>\n",
- " <td>...</td>\n",
- " <td>574</td>\n",
- " <td>1456</td>\n",
- " <td>1148</td>\n",
- " <td>964</td>\n",
- " <td>1180</td>\n",
- " <td>1136</td>\n",
- " <td>1021</td>\n",
- " <td>1586</td>\n",
- " <td>1136</td>\n",
- " <td>718</td>\n",
+ " <td>1161.0</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",
" <td>2</td>\n",
- " <td>2019-01-11</td>\n",
- " <td>12609</td>\n",
- " <td>13670</td>\n",
- " <td>NaN</td>\n",
- " <td>2214</td>\n",
- " <td>NaN</td>\n",
- " <td>50</td>\n",
- " <td>20</td>\n",
- " <td>280</td>\n",
- " <td>1419</td>\n",
- " <td>...</td>\n",
- " <td>643</td>\n",
- " <td>1612</td>\n",
- " <td>1279</td>\n",
- " <td>1089</td>\n",
- " <td>1299</td>\n",
- " <td>1386</td>\n",
- " <td>1137</td>\n",
- " <td>1927</td>\n",
- " <td>1394</td>\n",
- " <td>809</td>\n",
+ " <td>1567.0</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",
" <td>3</td>\n",
- " <td>2019-01-18</td>\n",
- " <td>11860</td>\n",
- " <td>13056</td>\n",
- " <td>NaN</td>\n",
- " <td>1972</td>\n",
- " <td>NaN</td>\n",
- " <td>59</td>\n",
- " <td>29</td>\n",
- " <td>319</td>\n",
- " <td>1373</td>\n",
- " <td>...</td>\n",
- " <td>627</td>\n",
- " <td>1566</td>\n",
- " <td>1197</td>\n",
- " <td>979</td>\n",
- " <td>1187</td>\n",
- " <td>1344</td>\n",
- " <td>1073</td>\n",
- " <td>1936</td>\n",
- " <td>1236</td>\n",
- " <td>683</td>\n",
+ " <td>1322.0</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",
" <td>4</td>\n",
- " <td>2019-01-25</td>\n",
- " <td>11740</td>\n",
- " <td>12486</td>\n",
- " <td>NaN</td>\n",
- " <td>1942</td>\n",
- " <td>NaN</td>\n",
- " <td>42</td>\n",
- " <td>22</td>\n",
- " <td>339</td>\n",
- " <td>1438</td>\n",
- " <td>...</td>\n",
- " <td>640</td>\n",
- " <td>1593</td>\n",
- " <td>1137</td>\n",
- " <td>1037</td>\n",
- " <td>1131</td>\n",
- " <td>1291</td>\n",
- " <td>1045</td>\n",
- " <td>1875</td>\n",
- " <td>1229</td>\n",
- " <td>734</td>\n",
+ " <td>1226.0</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",
" <td>5</td>\n",
- " <td>2019-02-01</td>\n",
- " <td>11297</td>\n",
- " <td>11998</td>\n",
- " <td>NaN</td>\n",
- " <td>1931</td>\n",
- " <td>NaN</td>\n",
- " <td>57</td>\n",
+ " <td>1188.0</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",
+ " <td>6</td>\n",
+ " <td>1216.0</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",
+ " <td>7</td>\n",
+ " <td>1162.0</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",
+ " <td>8</td>\n",
+ " <td>1162.0</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",
+ " <td>9</td>\n",
+ " <td>1171.0</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",
+ " <td>10</td>\n",
+ " <td>1208.0</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",
+ " <td>11</td>\n",
+ " <td>1156.0</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",
+ " <td>12</td>\n",
+ " <td>1196.0</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",
+ " <td>13</td>\n",
+ " <td>1079.0</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",
+ " <td>14</td>\n",
+ " <td>1744.0</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",
" <td>15</td>\n",
- " <td>307</td>\n",
- " <td>1367</td>\n",
- " <td>...</td>\n",
- " <td>618</td>\n",
- " <td>1485</td>\n",
- " <td>1131</td>\n",
- " <td>963</td>\n",
- " <td>1150</td>\n",
- " <td>1202</td>\n",
- " <td>1066</td>\n",
- " <td>1718</td>\n",
- " <td>1191</td>\n",
- " <td>745</td>\n",
+ " <td>1978.0</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",
- " </tbody>\n",
- "</table>\n",
- "<p>5 rows × 40 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- "Week number Week ended Total deaths, all ages \\\n",
- " Unnamed: 1_level_1 Unnamed: 2_level_1 \n",
- "1 2019-01-04 10955 \n",
- "2 2019-01-11 12609 \n",
- "3 2019-01-18 11860 \n",
- "4 2019-01-25 11740 \n",
- "5 2019-02-01 11297 \n",
- "\n",
- "Week number Total deaths: average of corresponding Unnamed: 4_level_0 \\\n",
- " Unnamed: 3_level_1 Deaths by underlying cause \n",
- "1 12273 NaN \n",
- "2 13670 NaN \n",
- "3 13056 NaN \n",
- "4 12486 NaN \n",
- "5 11998 NaN \n",
- "\n",
- "Week number Unnamed: 5_level_0 \\\n",
- " All respiratory diseases (ICD-10 J00-J99)\\nICD-10 v 2013 (IRIS) \n",
- "1 1736 \n",
- "2 2214 \n",
- "3 1972 \n",
- "4 1942 \n",
- "5 1931 \n",
- "\n",
- "Week number Persons Unnamed: 7_level_0 Unnamed: 8_level_0 \\\n",
- " Deaths by age group Under 1 year 01-14 \n",
- "1 NaN 43 15 \n",
- "2 NaN 50 20 \n",
- "3 NaN 59 29 \n",
- "4 NaN 42 22 \n",
- "5 NaN 57 15 \n",
- "\n",
- "Week number Unnamed: 9_level_0 Unnamed: 10_level_0 ... E12000001 E12000002 \\\n",
- " 15-44 45-64 ... North East North West \n",
- "1 215 1199 ... 574 1456 \n",
- "2 280 1419 ... 643 1612 \n",
- "3 319 1373 ... 627 1566 \n",
- "4 339 1438 ... 640 1593 \n",
- "5 307 1367 ... 618 1485 \n",
- "\n",
- "Week number E12000003 E12000004 E12000005 E12000006 \\\n",
- " Yorkshire and The Humber East Midlands West Midlands East \n",
- "1 1148 964 1180 1136 \n",
- "2 1279 1089 1299 1386 \n",
- "3 1197 979 1187 1344 \n",
- "4 1137 1037 1131 1291 \n",
- "5 1131 963 1150 1202 \n",
- "\n",
- "Week number E12000007 E12000008 E12000009 W92000004 \n",
- " London South East South West Wales \n",
- "1 1021 1586 1136 718 \n",
- "2 1137 1927 1394 809 \n",
- "3 1073 1936 1236 683 \n",
- "4 1045 1875 1229 734 \n",
- "5 1066 1718 1191 745 \n",
- "\n",
- "[5 rows x 40 columns]"
- ]
- },
- "execution_count": 78,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "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": 79,
- "metadata": {},
- "outputs": [
- {
- "data": {
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- " <thead>\n",
" <tr>\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",
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- " <th>E12000009</th>\n",
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+ " <td>1916.0</td>\n",
+ " <td>902.0</td>\n",
+ " <td>1136.0</td>\n",
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+ " <td>1092.0</td>\n",
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" <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>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>45-64</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",
+ " <td>17</td>\n",
+ " <td>1836.0</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",
- " </thead>\n",
- " <tbody>\n",
" <tr>\n",
- " <td>1</td>\n",
- " <td>2018-01-05</td>\n",
- " <td>12723</td>\n",
- " <td>12079</td>\n",
- " <td>NaN</td>\n",
- " <td>2361</td>\n",
- " <td>NaN</td>\n",
- " <td>52</td>\n",
" <td>18</td>\n",
- " <td>208</td>\n",
- " <td>1290</td>\n",
- " <td>...</td>\n",
- " <td>640</td>\n",
- " <td>1747</td>\n",
- " <td>1300</td>\n",
- " <td>1085</td>\n",
- " <td>1313</td>\n",
- " <td>1404</td>\n",
- " <td>1130</td>\n",
- " <td>1902</td>\n",
- " <td>1393</td>\n",
- " <td>783</td>\n",
+ " <td>1679.0</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",
- " <td>2</td>\n",
- " <td>2018-01-12</td>\n",
- " <td>15050</td>\n",
- " <td>13167</td>\n",
- " <td>NaN</td>\n",
- " <td>3075</td>\n",
- " <td>NaN</td>\n",
- " <td>73</td>\n",
- " <td>17</td>\n",
- " <td>302</td>\n",
- " <td>1561</td>\n",
- " <td>...</td>\n",
- " <td>837</td>\n",
- " <td>2113</td>\n",
- " <td>1481</td>\n",
- " <td>1266</td>\n",
- " <td>1468</td>\n",
- " <td>1677</td>\n",
- " <td>1342</td>\n",
- " <td>2371</td>\n",
- " <td>1552</td>\n",
- " <td>904</td>\n",
+ " <td>19</td>\n",
+ " <td>1434.0</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",
- " <td>3</td>\n",
- " <td>2018-01-19</td>\n",
- " <td>14256</td>\n",
- " <td>12418</td>\n",
- " <td>NaN</td>\n",
- " <td>2829</td>\n",
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" <td>NaN</td>\n",
- " <td>59</td>\n",
- " <td>22</td>\n",
- " <td>286</td>\n",
- " <td>1507</td>\n",
- " <td>...</td>\n",
- " <td>783</td>\n",
- " <td>1828</td>\n",
- " <td>1387</td>\n",
- " <td>1175</td>\n",
- " <td>1544</td>\n",
- " <td>1562</td>\n",
- " <td>1239</td>\n",
- " <td>2287</td>\n",
- " <td>1535</td>\n",
- " <td>885</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",
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" <tr>\n",
- " <td>4</td>\n",
- " <td>2018-01-26</td>\n",
- " <td>13935</td>\n",
- " <td>11954</td>\n",
- " <td>NaN</td>\n",
- " <td>2672</td>\n",
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- " <td>1459</td>\n",
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- " <td>779</td>\n",
- " <td>1855</td>\n",
- " <td>1363</td>\n",
- " <td>1165</td>\n",
- " <td>1433</td>\n",
- " <td>1553</td>\n",
- " <td>1264</td>\n",
- " <td>2184</td>\n",
- " <td>1460</td>\n",
- " <td>850</td>\n",
+ " <td>1061.0</td>\n",
+ " <td>1070.0</td>\n",
+ " <td>1063.0</td>\n",
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+ " <td>1039</td>\n",
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" <tr>\n",
- " <td>5</td>\n",
- " <td>2018-02-02</td>\n",
- " <td>13285</td>\n",
- " <td>11605</td>\n",
- " <td>NaN</td>\n",
- " <td>2479</td>\n",
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" <td>NaN</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",
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+ " <td>23</td>\n",
+ " <td>NaN</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",
+ " <td>24</td>\n",
+ " <td>NaN</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",
+ " <td>25</td>\n",
+ " <td>NaN</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",
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+ " <td>26</td>\n",
+ " <td>NaN</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",
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+ " <td>1040.0</td>\n",
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+ " <td>1077.0</td>\n",
+ " <td>1002.0</td>\n",
+ " <td>1014.0</td>\n",
+ " <td>1022.0</td>\n",
+ " <td>1011</td>\n",
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+ " <td>NaN</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",
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+ " <td>30</td>\n",
+ " <td>NaN</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",
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+ " <tr>\n",
+ " <td>31</td>\n",
+ " <td>NaN</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",
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+ " <tr>\n",
+ " <td>32</td>\n",
+ " <td>NaN</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",
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+ " <tr>\n",
+ " <td>33</td>\n",
+ " <td>NaN</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",
+ " <td>34</td>\n",
+ " <td>NaN</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",
+ " <td>35</td>\n",
+ " <td>NaN</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",
+ " <td>36</td>\n",
+ " <td>NaN</td>\n",
+ " <td>980.0</td>\n",
+ " <td>970.0</td>\n",
+ " <td>1006.0</td>\n",
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+ " </tr>\n",
+ " <tr>\n",
+ " <td>37</td>\n",
+ " <td>NaN</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",
+ " <td>38</td>\n",
+ " <td>NaN</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",
+ " <td>39</td>\n",
+ " <td>NaN</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",
+ " <td>40</td>\n",
+ " <td>NaN</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",
+ " <td>41</td>\n",
+ " <td>NaN</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",
+ " <td>42</td>\n",
+ " <td>NaN</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",
+ " <td>43</td>\n",
+ " <td>NaN</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",
+ " <td>44</td>\n",
+ " <td>NaN</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",
+ " <td>45</td>\n",
+ " <td>NaN</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",
+ " <td>46</td>\n",
+ " <td>NaN</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",
+ " <td>47</td>\n",
+ " <td>NaN</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",
+ " <td>48</td>\n",
+ " <td>NaN</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",
+ " <td>49</td>\n",
+ " <td>NaN</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",
+ " <td>50</td>\n",
+ " <td>NaN</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",
+ " <td>51</td>\n",
+ " <td>NaN</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",
+ " <td>52</td>\n",
+ " <td>NaN</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",
+ " <td>53</td>\n",
+ " <td>NaN</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 1161.0 1104.0 1531.0 1205.0 1394.0 1146\n",
+ "2 1567.0 1507.0 1899.0 1379.0 1305.0 1708\n",
+ "3 1322.0 1353.0 1629.0 1224.0 1215.0 1489\n",
+ "4 1226.0 1208.0 1610.0 1197.0 1187.0 1381\n",
+ "5 1188.0 1206.0 1369.0 1332.0 1205.0 1286\n",
+ "6 1216.0 1243.0 1265.0 1200.0 1217.0 1344\n",
+ "7 1162.0 1181.0 1315.0 1231.0 1209.0 1360\n",
+ "8 1162.0 1245.0 1245.0 1185.0 1239.0 1320\n",
+ "9 1171.0 1125.0 1022.0 1219.0 1150.0 1308\n",
+ "10 1208.0 1156.0 1475.0 1146.0 1174.0 1192\n",
+ "11 1156.0 1108.0 1220.0 1141.0 1175.0 1201\n",
+ "12 1196.0 1101.0 1158.0 1152.0 1042.0 1149\n",
+ "13 1079.0 1086.0 1050.0 1112.0 1172.0 1171\n",
+ "14 1744.0 1032.0 1192.0 1060.0 1166.0 1042\n",
+ "15 1978.0 1069.0 1192.0 998.0 1048.0 1192\n",
+ "16 1916.0 902.0 1136.0 1111.0 1092.0 1095\n",
+ "17 1836.0 1121.0 1008.0 1121.0 1076.0 1108\n",
+ "18 1679.0 1131.0 1093.0 1050.0 1006.0 1117\n",
+ "19 1434.0 1018.0 967.0 1119.0 1047.0 1020\n",
+ "20 NaN 1115.0 977.0 1115.0 1010.0 1103\n",
+ "21 NaN 1061.0 1070.0 1063.0 994.0 1039\n",
+ "22 NaN 1029.0 998.0 1015.0 999.0 1043\n",
+ "23 NaN 1042.0 1033.0 1076.0 1023.0 1106\n",
+ "24 NaN 1028.0 915.0 1031.0 988.0 1038\n",
+ "25 NaN 1053.0 993.0 1032.0 994.0 1025\n",
+ "26 NaN 1051.0 1046.0 994.0 1007.0 1032\n",
+ "27 NaN 981.0 1041.0 1040.0 988.0 1040\n",
+ "28 NaN 1077.0 1002.0 1014.0 1022.0 1011\n",
+ "29 NaN 964.0 928.0 1025.0 1041.0 1023\n",
+ "30 NaN 1041.0 933.0 978.0 979.0 956\n",
+ "31 NaN 1020.0 969.0 1011.0 987.0 985\n",
+ "32 NaN 1018.0 953.0 1002.0 997.0 1043\n",
+ "33 NaN 1028.0 978.0 1004.0 982.0 969\n",
+ "34 NaN 1011.0 941.0 1045.0 1017.0 982\n",
+ "35 NaN 1013.0 930.0 980.0 1039.0 954\n",
+ "36 NaN 980.0 970.0 1006.0 1007.0 977\n",
+ "37 NaN 1074.0 1020.0 972.0 983.0 991\n",
+ "38 NaN 1071.0 946.0 1049.0 966.0 1001\n",
+ "39 NaN 1142.0 1015.0 1056.0 1009.0 1010\n",
+ "40 NaN 1051.0 1042.0 1016.0 1072.0 1008\n",
+ "41 NaN 1143.0 1081.0 1133.0 1009.0 1028\n",
+ "42 NaN 1153.0 1031.0 1067.0 1070.0 989\n",
+ "43 NaN 1115.0 1019.0 1095.0 1052.0 981\n",
+ "44 NaN 1101.0 1085.0 1062.0 1032.0 1116\n",
+ "45 NaN 1184.0 1144.0 1126.0 1043.0 1028\n",
+ "46 NaN 1160.0 1084.0 1175.0 1174.0 1103\n",
+ "47 NaN 1229.0 1058.0 1178.0 1132.0 1054\n",
+ "48 NaN 1163.0 1062.0 1153.0 1159.0 1115\n",
+ "49 NaN 1108.0 1076.0 1237.0 1188.0 1089\n",
+ "50 NaN 1312.0 1212.0 1335.0 1219.0 1101\n",
+ "51 NaN 1277.0 1216.0 1437.0 1284.0 1146\n",
+ "52 NaN 1000.0 1058.0 1168.0 1133.0 944\n",
+ "53 NaN NaN NaN NaN NaN 1018"
+ ]
+ },
+ "execution_count": 184,
+ "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": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 145,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "raw_data_2020 = pd.read_csv('uk-deaths-data/publishedweek182020.csv', \n",
+ " parse_dates=[1], dayfirst=True,\n",
+ " index_col=0,\n",
+ " header=[0, 1])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 146,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# raw_data_2020.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 147,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "1 787\n",
+ "2 939\n",
+ "3 767\n",
+ "4 723\n",
+ "5 727\n",
+ "6 690\n",
+ "7 728\n",
+ "8 679\n",
+ "9 651\n",
+ "10 652\n",
+ "11 675\n",
+ "12 719\n",
+ "13 719\n",
+ "14 920\n",
+ "15 928\n",
+ "16 1169\n",
+ "17 1124\n",
+ "18 929\n",
+ "Name: (W92000004, Wales), dtype: int64"
+ ]
+ },
+ "execution_count": 147,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "raw_data_2020['W92000004', 'Wales']"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 148,
+ "metadata": {},
+ "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": 149,
+ "metadata": {},
+ "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": 150,
+ "metadata": {},
+ "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": 151,
+ "metadata": {},
+ "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": 152,
+ "metadata": {},
+ "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": 153,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\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",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <td>1</td>\n",
+ " <td>11467</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2</td>\n",
+ " <td>13119</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>3</td>\n",
+ " <td>12223</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>4</td>\n",
+ " <td>11133</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>5</td>\n",
+ " <td>10885</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>6</td>\n",
+ " <td>10296</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>7</td>\n",
+ " <td>10216</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>8</td>\n",
+ " <td>10162</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>9</td>\n",
+ " <td>10165</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>10</td>\n",
+ " <td>10243</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>11</td>\n",
+ " <td>10344</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>12</td>\n",
+ " <td>9926</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>13</td>\n",
+ " <td>10422</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>14</td>\n",
+ " <td>15467</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>15</td>\n",
+ " <td>17588</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>16</td>\n",
+ " <td>21182</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>17</td>\n",
+ " <td>20873</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>18</td>\n",
+ " <td>17024</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " total_2020\n",
+ "1 11467\n",
+ "2 13119\n",
+ "3 12223\n",
+ "4 11133\n",
+ "5 10885\n",
+ "6 10296\n",
+ "7 10216\n",
+ "8 10162\n",
+ "9 10165\n",
+ "10 10243\n",
+ "11 10344\n",
+ "12 9926\n",
+ "13 10422\n",
+ "14 15467\n",
+ "15 17588\n",
+ "16 21182\n",
+ "17 20873\n",
+ "18 17024"
+ ]
+ },
+ "execution_count": 153,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "deaths_headlines_e = raw_data_2020.iloc[:, [1]]\n",
+ "deaths_headlines_e.columns = ['total_2020']\n",
+ "deaths_headlines_w = raw_data_2020['W92000004']\n",
+ "deaths_headlines_e.columns = ['total_2020']\n",
+ "deaths_headlines_w.columns = ['total_2020']\n",
+ "deaths_headlines_e.total_2020 -= deaths_headlines_w.total_2020\n",
+ "deaths_headlines_e.head()\n",
+ "deaths_headlines_e"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 154,
+ "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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+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>total_2019</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <td>1</td>\n",
+ " <td>10237</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2</td>\n",
+ " <td>11800</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>3</td>\n",
+ " <td>11177</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>4</td>\n",
+ " <td>11006</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>5</td>\n",
+ " <td>10552</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " total_2019\n",
+ "1 10237\n",
+ "2 11800\n",
+ "3 11177\n",
+ "4 11006\n",
+ "5 10552"
+ ]
+ },
+ "execution_count": 154,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "dh19e = raw_data_2019.iloc[:, [1]]\n",
+ "dh19w = raw_data_2019['W92000004']\n",
+ "dh19e.columns = ['total_2019']\n",
+ "dh19w.columns = ['total_2019']\n",
+ "dh19e.total_2019 -= dh19w.total_2019\n",
+ "dh19e.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 155,
+ "metadata": {},
+ "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>total_2019</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <td>1</td>\n",
+ " <td>718</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2</td>\n",
+ " <td>809</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>3</td>\n",
+ " <td>683</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>4</td>\n",
+ " <td>734</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>5</td>\n",
+ " <td>745</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " total_2019\n",
+ "1 718\n",
+ "2 809\n",
+ "3 683\n",
+ "4 734\n",
+ "5 745"
+ ]
+ },
+ "execution_count": 155,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "dh19w.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 156,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "dh18e = raw_data_2018.iloc[:, [1]]\n",
+ "dh18w = raw_data_2018['W92000004']\n",
+ "dh18e.columns = ['total_2018']\n",
+ "dh18w.columns = ['total_2018']\n",
+ "dh18e.total_2018 -= dh18w.total_2018\n",
+ "# dh18e.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 157,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "dh17e = raw_data_2017.iloc[:, [1]]\n",
+ "dh17w = raw_data_2017['W92000004']\n",
+ "dh17e.columns = ['total_2017']\n",
+ "dh17w.columns = ['total_2017']\n",
+ "dh17e.total_2017 -= dh17w.total_2017\n",
+ "# dh17e.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 158,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "dh16e = raw_data_2016.iloc[:, [1]]\n",
+ "dh16w = raw_data_2016['W92000004']\n",
+ "dh16e.columns = ['total_2016']\n",
+ "dh16w.columns = ['total_2016']\n",
+ "dh16e.total_2016 -= dh16w.total_2016\n",
+ "# dh16e.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 159,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "dh15e = raw_data_2015.iloc[:, [1]]\n",
+ "dh15w = raw_data_2015['W92000004']\n",
+ "dh15e.columns = ['total_2015']\n",
+ "dh15w.columns = ['total_2015']\n",
+ "dh15e.total_2015 -= dh15w.total_2015\n",
+ "# dh15e.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 160,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# dh18 = raw_data_2018.iloc[:, [1, 2]]\n",
+ "# dh18.columns = ['total_2018', 'total_previous']\n",
+ "# # dh18.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 161,
+ "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>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",
+ " <td>1</td>\n",
+ " <td>11467.0</td>\n",
+ " <td>10237</td>\n",
+ " <td>11940</td>\n",
+ " <td>11247</td>\n",
+ " <td>12236</td>\n",
+ " <td>11561</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2</td>\n",
+ " <td>13119.0</td>\n",
+ " <td>11800</td>\n",
+ " <td>14146</td>\n",
+ " <td>12890</td>\n",
+ " <td>10790</td>\n",
+ " <td>15206</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>3</td>\n",
+ " <td>12223.0</td>\n",
+ " <td>11177</td>\n",
+ " <td>13371</td>\n",
+ " <td>12775</td>\n",
+ " <td>10753</td>\n",
+ " <td>13930</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>4</td>\n",
+ " <td>11133.0</td>\n",
+ " <td>11006</td>\n",
+ " <td>13085</td>\n",
+ " <td>11996</td>\n",
+ " <td>10600</td>\n",
+ " <td>13106</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>5</td>\n",
+ " <td>10885.0</td>\n",
+ " <td>10552</td>\n",
+ " <td>12470</td>\n",
+ " <td>11736</td>\n",
+ " <td>10362</td>\n",
+ " <td>12099</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>6</td>\n",
+ " <td>10296.0</td>\n",
+ " <td>10959</td>\n",
+ " <td>11694</td>\n",
+ " <td>11546</td>\n",
+ " <td>10470</td>\n",
+ " <td>11319</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>7</td>\n",
+ " <td>10216.0</td>\n",
+ " <td>11076</td>\n",
+ " <td>11443</td>\n",
+ " <td>10954</td>\n",
+ " <td>9933</td>\n",
+ " <td>11112</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>8</td>\n",
+ " <td>10162.0</td>\n",
+ " <td>10600</td>\n",
+ " <td>11353</td>\n",
+ " <td>11093</td>\n",
+ " <td>10360</td>\n",
+ " <td>10695</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>9</td>\n",
+ " <td>10165.0</td>\n",
+ " <td>10360</td>\n",
+ " <td>10220</td>\n",
+ " <td>10533</td>\n",
+ " <td>10564</td>\n",
+ " <td>10736</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>10</td>\n",
+ " <td>10243.0</td>\n",
+ " <td>10276</td>\n",
+ " <td>12101</td>\n",
+ " <td>10443</td>\n",
+ " <td>10276</td>\n",
+ " <td>10757</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>11</td>\n",
+ " <td>10344.0</td>\n",
+ " <td>9901</td>\n",
+ " <td>11870</td>\n",
+ " <td>10044</td>\n",
+ " <td>10284</td>\n",
+ " <td>10290</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>12</td>\n",
+ " <td>9926.0</td>\n",
+ " <td>9774</td>\n",
+ " <td>11139</td>\n",
+ " <td>9690</td>\n",
+ " <td>8967</td>\n",
+ " <td>9888</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>13</td>\n",
+ " <td>10422.0</td>\n",
+ " <td>9213</td>\n",
+ " <td>9308</td>\n",
+ " <td>9369</td>\n",
+ " <td>9574</td>\n",
+ " <td>9827</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>14</td>\n",
+ " <td>15467.0</td>\n",
+ " <td>9484</td>\n",
+ " <td>10064</td>\n",
+ " <td>9297</td>\n",
+ " <td>10857</td>\n",
+ " <td>8482</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>15</td>\n",
+ " <td>17588.0</td>\n",
+ " <td>9654</td>\n",
+ " <td>11558</td>\n",
+ " <td>7916</td>\n",
+ " <td>10679</td>\n",
+ " <td>9429</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>16</td>\n",
+ " <td>21182.0</td>\n",
+ " <td>8445</td>\n",
+ " <td>10535</td>\n",
+ " <td>8990</td>\n",
+ " <td>10211</td>\n",
+ " <td>10968</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>17</td>\n",
+ " <td>20873.0</td>\n",
+ " <td>9381</td>\n",
+ " <td>9692</td>\n",
+ " <td>10181</td>\n",
+ " <td>9784</td>\n",
+ " <td>9937</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>18</td>\n",
+ " <td>17024.0</td>\n",
+ " <td>10519</td>\n",
+ " <td>9520</td>\n",
+ " <td>8464</td>\n",
+ " <td>8568</td>\n",
+ " <td>9506</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>19</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8455</td>\n",
+ " <td>8094</td>\n",
+ " <td>10006</td>\n",
+ " <td>9985</td>\n",
+ " <td>8273</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>20</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9614</td>\n",
+ " <td>9474</td>\n",
+ " <td>9673</td>\n",
+ " <td>9342</td>\n",
+ " <td>9668</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>21</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9657</td>\n",
+ " <td>9033</td>\n",
+ " <td>9438</td>\n",
+ " <td>9115</td>\n",
+ " <td>9391</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>22</td>\n",
+ " <td>NaN</td>\n",
+ " <td>7742</td>\n",
+ " <td>7609</td>\n",
+ " <td>7746</td>\n",
+ " <td>7409</td>\n",
+ " <td>7625</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>23</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9514</td>\n",
+ " <td>9343</td>\n",
+ " <td>9182</td>\n",
+ " <td>9289</td>\n",
+ " <td>9509</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>24</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8847</td>\n",
+ " <td>8782</td>\n",
+ " <td>8768</td>\n",
+ " <td>8808</td>\n",
+ " <td>8942</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>25</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8916</td>\n",
+ " <td>8694</td>\n",
+ " <td>9019</td>\n",
+ " <td>8807</td>\n",
+ " <td>8717</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>26</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8947</td>\n",
+ " <td>8613</td>\n",
+ " <td>8788</td>\n",
+ " <td>8679</td>\n",
+ " <td>8593</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>27</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8528</td>\n",
+ " <td>8633</td>\n",
+ " <td>8707</td>\n",
+ " <td>8614</td>\n",
+ " <td>8670</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>28</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8591</td>\n",
+ " <td>8710</td>\n",
+ " <td>8812</td>\n",
+ " <td>8789</td>\n",
+ " <td>8461</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>29</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8527</td>\n",
+ " <td>8579</td>\n",
+ " <td>8562</td>\n",
+ " <td>8790</td>\n",
+ " <td>8228</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>30</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8569</td>\n",
+ " <td>8581</td>\n",
+ " <td>8296</td>\n",
+ " <td>8725</td>\n",
+ " <td>8262</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>31</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8701</td>\n",
+ " <td>8587</td>\n",
+ " <td>8351</td>\n",
+ " <td>8602</td>\n",
+ " <td>8071</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>32</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8580</td>\n",
+ " <td>8782</td>\n",
+ " <td>8466</td>\n",
+ " <td>8531</td>\n",
+ " <td>8298</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>33</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8504</td>\n",
+ " <td>8312</td>\n",
+ " <td>8707</td>\n",
+ " <td>8496</td>\n",
+ " <td>8600</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>34</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8441</td>\n",
+ " <td>8413</td>\n",
+ " <td>8812</td>\n",
+ " <td>8700</td>\n",
+ " <td>8564</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>35</td>\n",
+ " <td>NaN</td>\n",
+ " <td>7684</td>\n",
+ " <td>7354</td>\n",
+ " <td>7594</td>\n",
+ " <td>7453</td>\n",
+ " <td>8423</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>36</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9113</td>\n",
+ " <td>8851</td>\n",
+ " <td>8955</td>\n",
+ " <td>8847</td>\n",
+ " <td>7389</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>37</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8946</td>\n",
+ " <td>8612</td>\n",
+ " <td>8845</td>\n",
+ " <td>8548</td>\n",
+ " <td>8704</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>38</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8868</td>\n",
+ " <td>8707</td>\n",
+ " <td>8949</td>\n",
+ " <td>8382</td>\n",
+ " <td>8542</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>39</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8906</td>\n",
+ " <td>8590</td>\n",
+ " <td>9096</td>\n",
+ " <td>8402</td>\n",
+ " <td>8865</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>40</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9202</td>\n",
+ " <td>8908</td>\n",
+ " <td>9147</td>\n",
+ " <td>8729</td>\n",
+ " <td>8858</td>\n",
+ " </tr>\n",
+ " <tr>\n",
" <td>41</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9383</td>\n",
+ " <td>9043</td>\n",
+ " <td>9300</td>\n",
+ " <td>9132</td>\n",
+ " <td>9124</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>42</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9534</td>\n",
+ " <td>9224</td>\n",
+ " <td>9381</td>\n",
+ " <td>9144</td>\n",
+ " <td>8899</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>43</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9351</td>\n",
+ " <td>8970</td>\n",
+ " <td>9131</td>\n",
+ " <td>9100</td>\n",
+ " <td>9104</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>44</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9522</td>\n",
+ " <td>8925</td>\n",
+ " <td>9389</td>\n",
+ " <td>9508</td>\n",
+ " <td>9025</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>45</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10044</td>\n",
+ " <td>9509</td>\n",
+ " <td>9748</td>\n",
+ " <td>9844</td>\n",
+ " <td>9388</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>46</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9976</td>\n",
+ " <td>9537</td>\n",
+ " <td>9609</td>\n",
+ " <td>10013</td>\n",
+ " <td>9325</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>47</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10183</td>\n",
+ " <td>9300</td>\n",
+ " <td>9982</td>\n",
+ " <td>9942</td>\n",
+ " <td>9219</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>48</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10269</td>\n",
+ " <td>9360</td>\n",
+ " <td>9902</td>\n",
+ " <td>9796</td>\n",
+ " <td>9233</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>49</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10079</td>\n",
+ " <td>9613</td>\n",
+ " <td>10151</td>\n",
+ " <td>10530</td>\n",
+ " <td>9706</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>50</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10489</td>\n",
+ " <td>9842</td>\n",
+ " <td>10509</td>\n",
+ " <td>9870</td>\n",
+ " <td>9581</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>51</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11159</td>\n",
+ " <td>10392</td>\n",
+ " <td>11755</td>\n",
+ " <td>10802</td>\n",
+ " <td>10043</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>52</td>\n",
+ " <td>NaN</td>\n",
+ " <td>7037</td>\n",
+ " <td>6670</td>\n",
+ " <td>7946</td>\n",
+ " <td>7445</td>\n",
+ " <td>8095</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 11467.0 10237 11940 11247 12236 11561\n",
+ "2 13119.0 11800 14146 12890 10790 15206\n",
+ "3 12223.0 11177 13371 12775 10753 13930\n",
+ "4 11133.0 11006 13085 11996 10600 13106\n",
+ "5 10885.0 10552 12470 11736 10362 12099\n",
+ "6 10296.0 10959 11694 11546 10470 11319\n",
+ "7 10216.0 11076 11443 10954 9933 11112\n",
+ "8 10162.0 10600 11353 11093 10360 10695\n",
+ "9 10165.0 10360 10220 10533 10564 10736\n",
+ "10 10243.0 10276 12101 10443 10276 10757\n",
+ "11 10344.0 9901 11870 10044 10284 10290\n",
+ "12 9926.0 9774 11139 9690 8967 9888\n",
+ "13 10422.0 9213 9308 9369 9574 9827\n",
+ "14 15467.0 9484 10064 9297 10857 8482\n",
+ "15 17588.0 9654 11558 7916 10679 9429\n",
+ "16 21182.0 8445 10535 8990 10211 10968\n",
+ "17 20873.0 9381 9692 10181 9784 9937\n",
+ "18 17024.0 10519 9520 8464 8568 9506\n",
+ "19 NaN 8455 8094 10006 9985 8273\n",
+ "20 NaN 9614 9474 9673 9342 9668\n",
+ "21 NaN 9657 9033 9438 9115 9391\n",
+ "22 NaN 7742 7609 7746 7409 7625\n",
+ "23 NaN 9514 9343 9182 9289 9509\n",
+ "24 NaN 8847 8782 8768 8808 8942\n",
+ "25 NaN 8916 8694 9019 8807 8717\n",
+ "26 NaN 8947 8613 8788 8679 8593\n",
+ "27 NaN 8528 8633 8707 8614 8670\n",
+ "28 NaN 8591 8710 8812 8789 8461\n",
+ "29 NaN 8527 8579 8562 8790 8228\n",
+ "30 NaN 8569 8581 8296 8725 8262\n",
+ "31 NaN 8701 8587 8351 8602 8071\n",
+ "32 NaN 8580 8782 8466 8531 8298\n",
+ "33 NaN 8504 8312 8707 8496 8600\n",
+ "34 NaN 8441 8413 8812 8700 8564\n",
+ "35 NaN 7684 7354 7594 7453 8423\n",
+ "36 NaN 9113 8851 8955 8847 7389\n",
+ "37 NaN 8946 8612 8845 8548 8704\n",
+ "38 NaN 8868 8707 8949 8382 8542\n",
+ "39 NaN 8906 8590 9096 8402 8865\n",
+ "40 NaN 9202 8908 9147 8729 8858\n",
+ "41 NaN 9383 9043 9300 9132 9124\n",
+ "42 NaN 9534 9224 9381 9144 8899\n",
+ "43 NaN 9351 8970 9131 9100 9104\n",
+ "44 NaN 9522 8925 9389 9508 9025\n",
+ "45 NaN 10044 9509 9748 9844 9388\n",
+ "46 NaN 9976 9537 9609 10013 9325\n",
+ "47 NaN 10183 9300 9982 9942 9219\n",
+ "48 NaN 10269 9360 9902 9796 9233\n",
+ "49 NaN 10079 9613 10151 10530 9706\n",
+ "50 NaN 10489 9842 10509 9870 9581\n",
+ "51 NaN 11159 10392 11755 10802 10043\n",
+ "52 NaN 7037 6670 7946 7445 8095"
+ ]
+ },
+ "execution_count": 161,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "deaths_headlines_e = deaths_headlines_e.merge(dh19e['total_2019'], how='outer', left_index=True, right_index=True)\n",
+ "deaths_headlines_e = deaths_headlines_e.merge(dh18e['total_2018'], how='outer', left_index=True, right_index=True)\n",
+ "deaths_headlines_e = deaths_headlines_e.merge(dh17e['total_2017'], how='outer', left_index=True, right_index=True)\n",
+ "deaths_headlines_e = deaths_headlines_e.merge(dh16e['total_2016'], how='outer', left_index=True, right_index=True)\n",
+ "# deaths_headlines = deaths_headlines.merge(dh15['total_2015'], how='outer', left_index=True, right_index=True)\n",
+ "deaths_headlines_e = deaths_headlines_e.merge(dh15e['total_2015'], how='left', left_index=True, right_index=True)\n",
+ "deaths_headlines_e"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 182,
+ "metadata": {
+ "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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+ "<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",
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+ " <tbody>\n",
+ " <tr>\n",
+ " <td>1</td>\n",
+ " <td>1161.0</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",
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+ " <tr>\n",
+ " <td>2</td>\n",
+ " <td>1567.0</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",
+ " <td>3</td>\n",
+ " <td>1322.0</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",
+ " <td>4</td>\n",
+ " <td>1226.0</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",
+ " <td>5</td>\n",
+ " <td>1188.0</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",
+ " <td>6</td>\n",
+ " <td>1216.0</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",
+ " <td>7</td>\n",
+ " <td>1162.0</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",
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+ " <td>8</td>\n",
+ " <td>1162.0</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",
+ " <td>9</td>\n",
+ " <td>1171.0</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",
+ " <td>10</td>\n",
+ " <td>1208.0</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",
+ " <td>11</td>\n",
+ " <td>1156.0</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",
+ " <td>12</td>\n",
+ " <td>1196.0</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",
+ " <td>13</td>\n",
+ " <td>1079.0</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",
" <td>14</td>\n",
- " <td>339</td>\n",
- " <td>1404</td>\n",
- " <td>...</td>\n",
- " <td>740</td>\n",
- " <td>1728</td>\n",
- " <td>1285</td>\n",
- " <td>1154</td>\n",
- " <td>1441</td>\n",
- " <td>1468</td>\n",
- " <td>1208</td>\n",
- " <td>2046</td>\n",
- " <td>1382</td>\n",
- " <td>815</td>\n",
+ " <td>1744.0</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",
+ " <td>15</td>\n",
+ " <td>1978.0</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",
+ " <td>16</td>\n",
+ " <td>1916.0</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",
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+ " <td>17</td>\n",
+ " <td>1836.0</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",
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+ " <td>18</td>\n",
+ " <td>1679.0</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",
+ " <td>19</td>\n",
+ " <td>1434.0</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",
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+ " <td>1115.0</td>\n",
+ " <td>977.0</td>\n",
+ " <td>1115.0</td>\n",
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+ " <td>1103</td>\n",
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+ " <td>21</td>\n",
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+ " <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",
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+ " <td>22</td>\n",
+ " <td>NaN</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",
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+ " <td>23</td>\n",
+ " <td>NaN</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",
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+ " <td>24</td>\n",
+ " <td>NaN</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",
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+ " <td>1007.0</td>\n",
+ " <td>1032</td>\n",
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+ " <td>981.0</td>\n",
+ " <td>1041.0</td>\n",
+ " <td>1040.0</td>\n",
+ " <td>988.0</td>\n",
+ " <td>1040</td>\n",
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+ " <td>NaN</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",
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+ " <td>NaN</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",
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+ " <td>933.0</td>\n",
+ " <td>978.0</td>\n",
+ " <td>979.0</td>\n",
+ " <td>956</td>\n",
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+ " <td>1020.0</td>\n",
+ " <td>969.0</td>\n",
+ " <td>1011.0</td>\n",
+ " <td>987.0</td>\n",
+ " <td>985</td>\n",
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+ " <tr>\n",
+ " <td>32</td>\n",
+ " <td>NaN</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",
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+ " <td>33</td>\n",
+ " <td>NaN</td>\n",
+ " <td>1028.0</td>\n",
+ " <td>978.0</td>\n",
+ " <td>1004.0</td>\n",
+ " <td>982.0</td>\n",
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+ " <td>34</td>\n",
+ " <td>NaN</td>\n",
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+ " <td>1045.0</td>\n",
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+ " <td>970.0</td>\n",
+ " <td>1006.0</td>\n",
+ " <td>1007.0</td>\n",
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+ " <td>972.0</td>\n",
+ " <td>983.0</td>\n",
+ " <td>991</td>\n",
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+ " <td>1049.0</td>\n",
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+ " <td>1067.0</td>\n",
+ " <td>1070.0</td>\n",
+ " <td>989</td>\n",
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+ " <td>NaN</td>\n",
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+ " <td>1052.0</td>\n",
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+ " <td>NaN</td>\n",
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+ " <td>1115</td>\n",
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+ " <td>1108.0</td>\n",
+ " <td>1076.0</td>\n",
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+ " <td>1188.0</td>\n",
+ " <td>1089</td>\n",
+ " </tr>\n",
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+ " <td>NaN</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",
+ " <td>51</td>\n",
+ " <td>NaN</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",
+ " <td>52</td>\n",
+ " <td>NaN</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",
+ " <td>53</td>\n",
+ " <td>NaN</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",
- "<p>5 rows × 40 columns</p>\n",
"</div>"
],
"text/plain": [
- "Week number Week ended Total deaths, all ages \\\n",
- " Unnamed: 1_level_1 Unnamed: 2_level_1 \n",
- "1 2018-01-05 12723 \n",
- "2 2018-01-12 15050 \n",
- "3 2018-01-19 14256 \n",
- "4 2018-01-26 13935 \n",
- "5 2018-02-02 13285 \n",
- "\n",
- "Week number Total deaths: average of corresponding Unnamed: 4_level_0 \\\n",
- " Unnamed: 3_level_1 Deaths by underlying cause \n",
- "1 12079 NaN \n",
- "2 13167 NaN \n",
- "3 12418 NaN \n",
- "4 11954 NaN \n",
- "5 11605 NaN \n",
- "\n",
- "Week number Unnamed: 5_level_0 \\\n",
- " All respiratory diseases (ICD-10 J00-J99)\\nICD-10 v 2013 (IRIS) \n",
- "1 2361 \n",
- "2 3075 \n",
- "3 2829 \n",
- "4 2672 \n",
- "5 2479 \n",
- "\n",
- "Week number Persons Unnamed: 7_level_0 Unnamed: 8_level_0 \\\n",
- " Deaths by age group Under 1 year 01-14 \n",
- "1 NaN 52 18 \n",
- "2 NaN 73 17 \n",
- "3 NaN 59 22 \n",
- "4 NaN 50 25 \n",
- "5 NaN 41 14 \n",
- "\n",
- "Week number Unnamed: 9_level_0 Unnamed: 10_level_0 ... E12000001 E12000002 \\\n",
- " 15-44 45-64 ... North East North West \n",
- "1 208 1290 ... 640 1747 \n",
- "2 302 1561 ... 837 2113 \n",
- "3 286 1507 ... 783 1828 \n",
- "4 298 1459 ... 779 1855 \n",
- "5 339 1404 ... 740 1728 \n",
- "\n",
- "Week number E12000003 E12000004 E12000005 E12000006 \\\n",
- " Yorkshire and The Humber East Midlands West Midlands East \n",
- "1 1300 1085 1313 1404 \n",
- "2 1481 1266 1468 1677 \n",
- "3 1387 1175 1544 1562 \n",
- "4 1363 1165 1433 1553 \n",
- "5 1285 1154 1441 1468 \n",
- "\n",
- "Week number E12000007 E12000008 E12000009 W92000004 \n",
- " London South East South West Wales \n",
- "1 1130 1902 1393 783 \n",
- "2 1342 2371 1552 904 \n",
- "3 1239 2287 1535 885 \n",
- "4 1264 2184 1460 850 \n",
- "5 1208 2046 1382 815 \n",
- "\n",
- "[5 rows x 40 columns]"
+ " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
+ "1 1161.0 1104.0 1531.0 1205.0 1394.0 1146\n",
+ "2 1567.0 1507.0 1899.0 1379.0 1305.0 1708\n",
+ "3 1322.0 1353.0 1629.0 1224.0 1215.0 1489\n",
+ "4 1226.0 1208.0 1610.0 1197.0 1187.0 1381\n",
+ "5 1188.0 1206.0 1369.0 1332.0 1205.0 1286\n",
+ "6 1216.0 1243.0 1265.0 1200.0 1217.0 1344\n",
+ "7 1162.0 1181.0 1315.0 1231.0 1209.0 1360\n",
+ "8 1162.0 1245.0 1245.0 1185.0 1239.0 1320\n",
+ "9 1171.0 1125.0 1022.0 1219.0 1150.0 1308\n",
+ "10 1208.0 1156.0 1475.0 1146.0 1174.0 1192\n",
+ "11 1156.0 1108.0 1220.0 1141.0 1175.0 1201\n",
+ "12 1196.0 1101.0 1158.0 1152.0 1042.0 1149\n",
+ "13 1079.0 1086.0 1050.0 1112.0 1172.0 1171\n",
+ "14 1744.0 1032.0 1192.0 1060.0 1166.0 1042\n",
+ "15 1978.0 1069.0 1192.0 998.0 1048.0 1192\n",
+ "16 1916.0 902.0 1136.0 1111.0 1092.0 1095\n",
+ "17 1836.0 1121.0 1008.0 1121.0 1076.0 1108\n",
+ "18 1679.0 1131.0 1093.0 1050.0 1006.0 1117\n",
+ "19 1434.0 1018.0 967.0 1119.0 1047.0 1020\n",
+ "20 NaN 1115.0 977.0 1115.0 1010.0 1103\n",
+ "21 NaN 1061.0 1070.0 1063.0 994.0 1039\n",
+ "22 NaN 1029.0 998.0 1015.0 999.0 1043\n",
+ "23 NaN 1042.0 1033.0 1076.0 1023.0 1106\n",
+ "24 NaN 1028.0 915.0 1031.0 988.0 1038\n",
+ "25 NaN 1053.0 993.0 1032.0 994.0 1025\n",
+ "26 NaN 1051.0 1046.0 994.0 1007.0 1032\n",
+ "27 NaN 981.0 1041.0 1040.0 988.0 1040\n",
+ "28 NaN 1077.0 1002.0 1014.0 1022.0 1011\n",
+ "29 NaN 964.0 928.0 1025.0 1041.0 1023\n",
+ "30 NaN 1041.0 933.0 978.0 979.0 956\n",
+ "31 NaN 1020.0 969.0 1011.0 987.0 985\n",
+ "32 NaN 1018.0 953.0 1002.0 997.0 1043\n",
+ "33 NaN 1028.0 978.0 1004.0 982.0 969\n",
+ "34 NaN 1011.0 941.0 1045.0 1017.0 982\n",
+ "35 NaN 1013.0 930.0 980.0 1039.0 954\n",
+ "36 NaN 980.0 970.0 1006.0 1007.0 977\n",
+ "37 NaN 1074.0 1020.0 972.0 983.0 991\n",
+ "38 NaN 1071.0 946.0 1049.0 966.0 1001\n",
+ "39 NaN 1142.0 1015.0 1056.0 1009.0 1010\n",
+ "40 NaN 1051.0 1042.0 1016.0 1072.0 1008\n",
+ "41 NaN 1143.0 1081.0 1133.0 1009.0 1028\n",
+ "42 NaN 1153.0 1031.0 1067.0 1070.0 989\n",
+ "43 NaN 1115.0 1019.0 1095.0 1052.0 981\n",
+ "44 NaN 1101.0 1085.0 1062.0 1032.0 1116\n",
+ "45 NaN 1184.0 1144.0 1126.0 1043.0 1028\n",
+ "46 NaN 1160.0 1084.0 1175.0 1174.0 1103\n",
+ "47 NaN 1229.0 1058.0 1178.0 1132.0 1054\n",
+ "48 NaN 1163.0 1062.0 1153.0 1159.0 1115\n",
+ "49 NaN 1108.0 1076.0 1237.0 1188.0 1089\n",
+ "50 NaN 1312.0 1212.0 1335.0 1219.0 1101\n",
+ "51 NaN 1277.0 1216.0 1437.0 1284.0 1146\n",
+ "52 NaN 1000.0 1058.0 1168.0 1133.0 944\n",
+ "53 NaN NaN NaN NaN NaN 1018"
]
},
- "execution_count": 79,
+ "execution_count": 182,
"metadata": {},
"output_type": "execute_result"
}
],
"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()"
+ "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": 89,
+ "execution_count": 162,
"metadata": {},
"outputs": [
{
" vertical-align: top;\n",
" }\n",
"\n",
- " .dataframe thead tr th {\n",
- " text-align: left;\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
- " <tr>\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>Unnamed: 10_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",
+ " <tr style=\"text-align: right;\">\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>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>45-64</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",
+ " <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",
" <td>1</td>\n",
- " <td>2017-01-06</td>\n",
- " <td>11991</td>\n",
- " <td>11782</td>\n",
- " <td>NaN</td>\n",
- " <td>2321</td>\n",
- " <td>NaN</td>\n",
- " <td>58</td>\n",
- " <td>18</td>\n",
- " <td>215</td>\n",
- " <td>1232</td>\n",
- " <td>...</td>\n",
- " <td>602</td>\n",
- " <td>1665</td>\n",
- " <td>1208</td>\n",
- " <td>1016</td>\n",
- " <td>1243</td>\n",
- " <td>1187</td>\n",
- " <td>1173</td>\n",
- " <td>1899</td>\n",
- " <td>1228</td>\n",
+ " <td>787.0</td>\n",
+ " <td>718</td>\n",
+ " <td>783</td>\n",
" <td>744</td>\n",
+ " <td>809</td>\n",
+ " <td>725</td>\n",
" </tr>\n",
" <tr>\n",
" <td>2</td>\n",
- " <td>2017-01-13</td>\n",
- " <td>13715</td>\n",
- " <td>12692</td>\n",
- " <td>NaN</td>\n",
- " <td>2690</td>\n",
- " <td>NaN</td>\n",
- " <td>56</td>\n",
- " <td>18</td>\n",
- " <td>287</td>\n",
- " <td>1372</td>\n",
- " <td>...</td>\n",
- " <td>738</td>\n",
- " <td>1840</td>\n",
- " <td>1351</td>\n",
- " <td>1170</td>\n",
- " <td>1439</td>\n",
- " <td>1450</td>\n",
- " <td>1296</td>\n",
- " <td>2161</td>\n",
- " <td>1419</td>\n",
+ " <td>939.0</td>\n",
+ " <td>809</td>\n",
+ " <td>904</td>\n",
" <td>825</td>\n",
+ " <td>711</td>\n",
+ " <td>1031</td>\n",
" </tr>\n",
" <tr>\n",
" <td>3</td>\n",
- " <td>2017-01-20</td>\n",
- " <td>13610</td>\n",
- " <td>11773</td>\n",
- " <td>NaN</td>\n",
- " <td>2625</td>\n",
- " <td>NaN</td>\n",
- " <td>54</td>\n",
- " <td>19</td>\n",
- " <td>301</td>\n",
- " <td>1374</td>\n",
- " <td>...</td>\n",
- " <td>676</td>\n",
- " <td>1786</td>\n",
- " <td>1383</td>\n",
- " <td>1190</td>\n",
- " <td>1414</td>\n",
- " <td>1484</td>\n",
- " <td>1276</td>\n",
- " <td>2195</td>\n",
- " <td>1346</td>\n",
+ " <td>767.0</td>\n",
+ " <td>683</td>\n",
+ " <td>885</td>\n",
" <td>835</td>\n",
+ " <td>720</td>\n",
+ " <td>936</td>\n",
" </tr>\n",
" <tr>\n",
" <td>4</td>\n",
- " <td>2017-01-27</td>\n",
- " <td>12877</td>\n",
- " <td>11441</td>\n",
+ " <td>723.0</td>\n",
+ " <td>734</td>\n",
+ " <td>850</td>\n",
+ " <td>881</td>\n",
+ " <td>717</td>\n",
+ " <td>828</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>5</td>\n",
+ " <td>727.0</td>\n",
+ " <td>745</td>\n",
+ " <td>815</td>\n",
+ " <td>749</td>\n",
+ " <td>690</td>\n",
+ " <td>801</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>6</td>\n",
+ " <td>690.0</td>\n",
+ " <td>701</td>\n",
+ " <td>801</td>\n",
+ " <td>723</td>\n",
+ " <td>700</td>\n",
+ " <td>720</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>7</td>\n",
+ " <td>728.0</td>\n",
+ " <td>748</td>\n",
+ " <td>803</td>\n",
+ " <td>690</td>\n",
+ " <td>657</td>\n",
+ " <td>710</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>8</td>\n",
+ " <td>679.0</td>\n",
+ " <td>695</td>\n",
+ " <td>789</td>\n",
+ " <td>701</td>\n",
+ " <td>696</td>\n",
+ " <td>739</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>9</td>\n",
+ " <td>651.0</td>\n",
+ " <td>684</td>\n",
+ " <td>634</td>\n",
+ " <td>715</td>\n",
+ " <td>721</td>\n",
+ " <td>736</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>10</td>\n",
+ " <td>652.0</td>\n",
+ " <td>622</td>\n",
+ " <td>896</td>\n",
+ " <td>634</td>\n",
+ " <td>734</td>\n",
+ " <td>712</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>11</td>\n",
+ " <td>675.0</td>\n",
+ " <td>666</td>\n",
+ " <td>918</td>\n",
+ " <td>653</td>\n",
+ " <td>738</td>\n",
+ " <td>661</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>12</td>\n",
+ " <td>719.0</td>\n",
+ " <td>628</td>\n",
+ " <td>774</td>\n",
+ " <td>635</td>\n",
+ " <td>668</td>\n",
+ " <td>680</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>13</td>\n",
+ " <td>719.0</td>\n",
+ " <td>654</td>\n",
+ " <td>633</td>\n",
+ " <td>658</td>\n",
+ " <td>712</td>\n",
+ " <td>666</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>14</td>\n",
+ " <td>920.0</td>\n",
+ " <td>642</td>\n",
+ " <td>730</td>\n",
+ " <td>642</td>\n",
+ " <td>742</td>\n",
+ " <td>580</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>15</td>\n",
+ " <td>928.0</td>\n",
+ " <td>637</td>\n",
+ " <td>743</td>\n",
+ " <td>577</td>\n",
+ " <td>738</td>\n",
+ " <td>660</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>16</td>\n",
+ " <td>1169.0</td>\n",
+ " <td>580</td>\n",
+ " <td>688</td>\n",
+ " <td>654</td>\n",
+ " <td>714</td>\n",
+ " <td>671</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>17</td>\n",
+ " <td>1124.0</td>\n",
+ " <td>678</td>\n",
+ " <td>614</td>\n",
+ " <td>727</td>\n",
+ " <td>629</td>\n",
+ " <td>662</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>18</td>\n",
+ " <td>929.0</td>\n",
+ " <td>688</td>\n",
+ " <td>633</td>\n",
+ " <td>600</td>\n",
+ " <td>569</td>\n",
+ " <td>628</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>19</td>\n",
" <td>NaN</td>\n",
- " <td>2373</td>\n",
+ " <td>600</td>\n",
+ " <td>530</td>\n",
+ " <td>687</td>\n",
+ " <td>652</td>\n",
+ " <td>589</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>20</td>\n",
+ " <td>NaN</td>\n",
+ " <td>658</td>\n",
+ " <td>667</td>\n",
+ " <td>615</td>\n",
+ " <td>611</td>\n",
+ " <td>622</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>21</td>\n",
" <td>NaN</td>\n",
- " <td>52</td>\n",
- " <td>16</td>\n",
- " <td>286</td>\n",
- " <td>1273</td>\n",
- " <td>...</td>\n",
" <td>627</td>\n",
- " <td>1666</td>\n",
- " <td>1242</td>\n",
- " <td>1116</td>\n",
- " <td>1362</td>\n",
- " <td>1488</td>\n",
- " <td>1198</td>\n",
- " <td>1999</td>\n",
- " <td>1278</td>\n",
- " <td>881</td>\n",
+ " <td>603</td>\n",
+ " <td>602</td>\n",
+ " <td>624</td>\n",
+ " <td>614</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>22</td>\n",
+ " <td>NaN</td>\n",
+ " <td>518</td>\n",
+ " <td>538</td>\n",
+ " <td>586</td>\n",
+ " <td>500</td>\n",
+ " <td>588</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>23</td>\n",
+ " <td>NaN</td>\n",
+ " <td>626</td>\n",
+ " <td>607</td>\n",
+ " <td>584</td>\n",
+ " <td>584</td>\n",
+ " <td>648</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>24</td>\n",
+ " <td>NaN</td>\n",
+ " <td>598</td>\n",
+ " <td>561</td>\n",
+ " <td>599</td>\n",
+ " <td>578</td>\n",
+ " <td>606</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>25</td>\n",
+ " <td>NaN</td>\n",
+ " <td>542</td>\n",
+ " <td>562</td>\n",
+ " <td>608</td>\n",
+ " <td>558</td>\n",
+ " <td>595</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>26</td>\n",
+ " <td>NaN</td>\n",
+ " <td>564</td>\n",
+ " <td>599</td>\n",
+ " <td>546</td>\n",
+ " <td>549</td>\n",
+ " <td>597</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>27</td>\n",
+ " <td>NaN</td>\n",
+ " <td>534</td>\n",
+ " <td>625</td>\n",
+ " <td>556</td>\n",
+ " <td>524</td>\n",
+ " <td>535</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>28</td>\n",
+ " <td>NaN</td>\n",
+ " <td>588</td>\n",
+ " <td>583</td>\n",
+ " <td>564</td>\n",
+ " <td>599</td>\n",
+ " <td>554</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>29</td>\n",
+ " <td>NaN</td>\n",
+ " <td>553</td>\n",
+ " <td>548</td>\n",
+ " <td>551</td>\n",
+ " <td>560</td>\n",
+ " <td>574</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>30</td>\n",
+ " <td>NaN</td>\n",
+ " <td>543</td>\n",
+ " <td>560</td>\n",
+ " <td>586</td>\n",
+ " <td>610</td>\n",
+ " <td>529</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>31</td>\n",
+ " <td>NaN</td>\n",
+ " <td>570</td>\n",
+ " <td>574</td>\n",
+ " <td>590</td>\n",
+ " <td>580</td>\n",
+ " <td>546</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>32</td>\n",
+ " <td>NaN</td>\n",
+ " <td>542</td>\n",
+ " <td>537</td>\n",
+ " <td>572</td>\n",
+ " <td>641</td>\n",
+ " <td>564</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>33</td>\n",
+ " <td>NaN</td>\n",
+ " <td>589</td>\n",
+ " <td>518</td>\n",
+ " <td>592</td>\n",
+ " <td>574</td>\n",
+ " <td>548</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>34</td>\n",
+ " <td>NaN</td>\n",
+ " <td>553</td>\n",
+ " <td>565</td>\n",
+ " <td>570</td>\n",
+ " <td>619</td>\n",
+ " <td>557</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>35</td>\n",
+ " <td>NaN</td>\n",
+ " <td>558</td>\n",
+ " <td>511</td>\n",
+ " <td>555</td>\n",
+ " <td>470</td>\n",
+ " <td>603</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>36</td>\n",
+ " <td>NaN</td>\n",
+ " <td>582</td>\n",
+ " <td>594</td>\n",
+ " <td>542</td>\n",
+ " <td>552</td>\n",
+ " <td>489</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>37</td>\n",
+ " <td>NaN</td>\n",
+ " <td>567</td>\n",
+ " <td>579</td>\n",
+ " <td>609</td>\n",
+ " <td>576</td>\n",
+ " <td>554</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>38</td>\n",
+ " <td>NaN</td>\n",
+ " <td>572</td>\n",
+ " <td>598</td>\n",
+ " <td>585</td>\n",
+ " <td>563</td>\n",
+ " <td>555</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>39</td>\n",
+ " <td>NaN</td>\n",
+ " <td>611</td>\n",
+ " <td>560</td>\n",
+ " <td>593</td>\n",
+ " <td>592</td>\n",
+ " <td>664</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>40</td>\n",
+ " <td>NaN</td>\n",
+ " <td>597</td>\n",
+ " <td>595</td>\n",
+ " <td>631</td>\n",
+ " <td>562</td>\n",
+ " <td>552</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>41</td>\n",
+ " <td>NaN</td>\n",
+ " <td>590</td>\n",
+ " <td>606</td>\n",
+ " <td>640</td>\n",
+ " <td>587</td>\n",
+ " <td>652</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>42</td>\n",
+ " <td>NaN</td>\n",
+ " <td>622</td>\n",
+ " <td>640</td>\n",
+ " <td>650</td>\n",
+ " <td>624</td>\n",
+ " <td>612</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>43</td>\n",
+ " <td>NaN</td>\n",
+ " <td>670</td>\n",
+ " <td>633</td>\n",
+ " <td>608</td>\n",
+ " <td>624</td>\n",
+ " <td>607</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>44</td>\n",
+ " <td>NaN</td>\n",
+ " <td>642</td>\n",
+ " <td>604</td>\n",
+ " <td>595</td>\n",
+ " <td>644</td>\n",
+ " <td>593</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>45</td>\n",
+ " <td>NaN</td>\n",
+ " <td>653</td>\n",
+ " <td>642</td>\n",
+ " <td>598</td>\n",
+ " <td>626</td>\n",
+ " <td>606</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>46</td>\n",
+ " <td>NaN</td>\n",
+ " <td>674</td>\n",
+ " <td>656</td>\n",
+ " <td>666</td>\n",
+ " <td>681</td>\n",
+ " <td>613</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>47</td>\n",
+ " <td>NaN</td>\n",
+ " <td>699</td>\n",
+ " <td>657</td>\n",
+ " <td>639</td>\n",
+ " <td>661</td>\n",
+ " <td>611</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>48</td>\n",
+ " <td>NaN</td>\n",
+ " <td>689</td>\n",
+ " <td>673</td>\n",
+ " <td>636</td>\n",
+ " <td>643</td>\n",
+ " <td>589</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>49</td>\n",
+ " <td>NaN</td>\n",
+ " <td>737</td>\n",
+ " <td>674</td>\n",
+ " <td>630</td>\n",
+ " <td>693</td>\n",
+ " <td>659</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>50</td>\n",
+ " <td>NaN</td>\n",
+ " <td>699</td>\n",
+ " <td>708</td>\n",
+ " <td>708</td>\n",
+ " <td>663</td>\n",
+ " <td>688</td>\n",
" </tr>\n",
" <tr>\n",
- " <td>5</td>\n",
- " <td>2017-02-03</td>\n",
- " <td>12485</td>\n",
- " <td>11128</td>\n",
+ " <td>51</td>\n",
" <td>NaN</td>\n",
- " <td>2147</td>\n",
+ " <td>767</td>\n",
+ " <td>724</td>\n",
+ " <td>762</td>\n",
+ " <td>691</td>\n",
+ " <td>646</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>52</td>\n",
" <td>NaN</td>\n",
- " <td>55</td>\n",
- " <td>14</td>\n",
- " <td>308</td>\n",
- " <td>1239</td>\n",
- " <td>...</td>\n",
- " <td>631</td>\n",
- " <td>1625</td>\n",
- " <td>1243</td>\n",
- " <td>1045</td>\n",
- " <td>1293</td>\n",
- " <td>1384</td>\n",
- " <td>1210</td>\n",
- " <td>1920</td>\n",
- " <td>1359</td>\n",
- " <td>749</td>\n",
+ " <td>496</td>\n",
+ " <td>461</td>\n",
+ " <td>541</td>\n",
+ " <td>558</td>\n",
+ " <td>535</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
- "<p>5 rows × 40 columns</p>\n",
"</div>"
],
"text/plain": [
- "Week number Week ended Total deaths, all ages \\\n",
- " Unnamed: 1_level_1 Unnamed: 2_level_1 \n",
- "1 2017-01-06 11991 \n",
- "2 2017-01-13 13715 \n",
- "3 2017-01-20 13610 \n",
- "4 2017-01-27 12877 \n",
- "5 2017-02-03 12485 \n",
- "\n",
- "Week number Total deaths: average of corresponding Unnamed: 4_level_0 \\\n",
- " Unnamed: 3_level_1 Deaths by underlying cause \n",
- "1 11782 NaN \n",
- "2 12692 NaN \n",
- "3 11773 NaN \n",
- "4 11441 NaN \n",
- "5 11128 NaN \n",
- "\n",
- "Week number Unnamed: 5_level_0 \\\n",
- " All respiratory diseases (ICD-10 J00-J99)\\nICD-10 v 2013 (IRIS) \n",
- "1 2321 \n",
- "2 2690 \n",
- "3 2625 \n",
- "4 2373 \n",
- "5 2147 \n",
- "\n",
- "Week number Persons Unnamed: 7_level_0 Unnamed: 8_level_0 \\\n",
- " Deaths by age group Under 1 year 01-14 \n",
- "1 NaN 58 18 \n",
- "2 NaN 56 18 \n",
- "3 NaN 54 19 \n",
- "4 NaN 52 16 \n",
- "5 NaN 55 14 \n",
- "\n",
- "Week number Unnamed: 9_level_0 Unnamed: 10_level_0 ... E12000001 E12000002 \\\n",
- " 15-44 45-64 ... North East North West \n",
- "1 215 1232 ... 602 1665 \n",
- "2 287 1372 ... 738 1840 \n",
- "3 301 1374 ... 676 1786 \n",
- "4 286 1273 ... 627 1666 \n",
- "5 308 1239 ... 631 1625 \n",
- "\n",
- "Week number E12000003 E12000004 E12000005 E12000006 \\\n",
- " Yorkshire and The Humber East Midlands West Midlands East \n",
- "1 1208 1016 1243 1187 \n",
- "2 1351 1170 1439 1450 \n",
- "3 1383 1190 1414 1484 \n",
- "4 1242 1116 1362 1488 \n",
- "5 1243 1045 1293 1384 \n",
- "\n",
- "Week number E12000007 E12000008 E12000009 W92000004 \n",
- " London South East South West Wales \n",
- "1 1173 1899 1228 744 \n",
- "2 1296 2161 1419 825 \n",
- "3 1276 2195 1346 835 \n",
- "4 1198 1999 1278 881 \n",
- "5 1210 1920 1359 749 \n",
- "\n",
- "[5 rows x 40 columns]"
+ " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
+ "1 787.0 718 783 744 809 725\n",
+ "2 939.0 809 904 825 711 1031\n",
+ "3 767.0 683 885 835 720 936\n",
+ "4 723.0 734 850 881 717 828\n",
+ "5 727.0 745 815 749 690 801\n",
+ "6 690.0 701 801 723 700 720\n",
+ "7 728.0 748 803 690 657 710\n",
+ "8 679.0 695 789 701 696 739\n",
+ "9 651.0 684 634 715 721 736\n",
+ "10 652.0 622 896 634 734 712\n",
+ "11 675.0 666 918 653 738 661\n",
+ "12 719.0 628 774 635 668 680\n",
+ "13 719.0 654 633 658 712 666\n",
+ "14 920.0 642 730 642 742 580\n",
+ "15 928.0 637 743 577 738 660\n",
+ "16 1169.0 580 688 654 714 671\n",
+ "17 1124.0 678 614 727 629 662\n",
+ "18 929.0 688 633 600 569 628\n",
+ "19 NaN 600 530 687 652 589\n",
+ "20 NaN 658 667 615 611 622\n",
+ "21 NaN 627 603 602 624 614\n",
+ "22 NaN 518 538 586 500 588\n",
+ "23 NaN 626 607 584 584 648\n",
+ "24 NaN 598 561 599 578 606\n",
+ "25 NaN 542 562 608 558 595\n",
+ "26 NaN 564 599 546 549 597\n",
+ "27 NaN 534 625 556 524 535\n",
+ "28 NaN 588 583 564 599 554\n",
+ "29 NaN 553 548 551 560 574\n",
+ "30 NaN 543 560 586 610 529\n",
+ "31 NaN 570 574 590 580 546\n",
+ "32 NaN 542 537 572 641 564\n",
+ "33 NaN 589 518 592 574 548\n",
+ "34 NaN 553 565 570 619 557\n",
+ "35 NaN 558 511 555 470 603\n",
+ "36 NaN 582 594 542 552 489\n",
+ "37 NaN 567 579 609 576 554\n",
+ "38 NaN 572 598 585 563 555\n",
+ "39 NaN 611 560 593 592 664\n",
+ "40 NaN 597 595 631 562 552\n",
+ "41 NaN 590 606 640 587 652\n",
+ "42 NaN 622 640 650 624 612\n",
+ "43 NaN 670 633 608 624 607\n",
+ "44 NaN 642 604 595 644 593\n",
+ "45 NaN 653 642 598 626 606\n",
+ "46 NaN 674 656 666 681 613\n",
+ "47 NaN 699 657 639 661 611\n",
+ "48 NaN 689 673 636 643 589\n",
+ "49 NaN 737 674 630 693 659\n",
+ "50 NaN 699 708 708 663 688\n",
+ "51 NaN 767 724 762 691 646\n",
+ "52 NaN 496 461 541 558 535"
]
},
- "execution_count": 89,
+ "execution_count": 162,
"metadata": {},
"output_type": "execute_result"
}
],
"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()"
+ "deaths_headlines_w = deaths_headlines_w.merge(dh19w['total_2019'], how='outer', left_index=True, right_index=True)\n",
+ "deaths_headlines_w = deaths_headlines_w.merge(dh18w['total_2018'], how='outer', left_index=True, right_index=True)\n",
+ "deaths_headlines_w = deaths_headlines_w.merge(dh17w['total_2017'], how='outer', left_index=True, right_index=True)\n",
+ "deaths_headlines_w = deaths_headlines_w.merge(dh16w['total_2016'], how='outer', left_index=True, right_index=True)\n",
+ "# deaths_headlines = deaths_headlines.merge(dh15['total_2015'], how='outer', left_index=True, right_index=True)\n",
+ "deaths_headlines_w = deaths_headlines_w.merge(dh15w['total_2015'], how='left', left_index=True, right_index=True)\n",
+ "deaths_headlines_w"
]
},
{
"cell_type": "code",
- "execution_count": 98,
+ "execution_count": 163,
"metadata": {},
"outputs": [
{
" vertical-align: top;\n",
" }\n",
"\n",
- " .dataframe thead tr th {\n",
- " text-align: left;\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
- " <tr>\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>Unnamed: 10_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",
+ " <tr style=\"text-align: right;\">\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>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>45-64</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",
+ " <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",
" <td>1</td>\n",
- " <td>2016-01-08</td>\n",
- " <td>13045</td>\n",
- " <td>11701.4</td>\n",
+ " <td>353.0</td>\n",
+ " <td>365</td>\n",
+ " <td>447</td>\n",
+ " <td>416</td>\n",
+ " <td>424</td>\n",
+ " <td>319</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2</td>\n",
+ " <td>395.0</td>\n",
+ " <td>371</td>\n",
+ " <td>481</td>\n",
+ " <td>434</td>\n",
+ " <td>348</td>\n",
+ " <td>373</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>3</td>\n",
+ " <td>411.0</td>\n",
+ " <td>332</td>\n",
+ " <td>470</td>\n",
+ " <td>397</td>\n",
+ " <td>372</td>\n",
+ " <td>383</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>4</td>\n",
+ " <td>347.0</td>\n",
+ " <td>335</td>\n",
+ " <td>426</td>\n",
+ " <td>387</td>\n",
+ " <td>355</td>\n",
+ " <td>397</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>5</td>\n",
+ " <td>323.0</td>\n",
+ " <td>296</td>\n",
+ " <td>433</td>\n",
+ " <td>371</td>\n",
+ " <td>314</td>\n",
+ " <td>374</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>6</td>\n",
+ " <td>332.0</td>\n",
+ " <td>319</td>\n",
+ " <td>351</td>\n",
+ " <td>336</td>\n",
+ " <td>310</td>\n",
+ " <td>347</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>7</td>\n",
+ " <td>306.0</td>\n",
+ " <td>342</td>\n",
+ " <td>364</td>\n",
+ " <td>337</td>\n",
+ " <td>217</td>\n",
+ " <td>328</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>8</td>\n",
+ " <td>297.0</td>\n",
+ " <td>337</td>\n",
+ " <td>366</td>\n",
+ " <td>351</td>\n",
+ " <td>423</td>\n",
+ " <td>317</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>9</td>\n",
+ " <td>347.0</td>\n",
+ " <td>310</td>\n",
+ " <td>314</td>\n",
+ " <td>352</td>\n",
+ " <td>298</td>\n",
+ " <td>401</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>10</td>\n",
+ " <td>312.0</td>\n",
+ " <td>342</td>\n",
+ " <td>387</td>\n",
+ " <td>357</td>\n",
+ " <td>309</td>\n",
+ " <td>346</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>11</td>\n",
+ " <td>324.0</td>\n",
+ " <td>343</td>\n",
+ " <td>359</td>\n",
+ " <td>251</td>\n",
+ " <td>292</td>\n",
+ " <td>323</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>12</td>\n",
+ " <td>271.0</td>\n",
+ " <td>294</td>\n",
+ " <td>326</td>\n",
+ " <td>356</td>\n",
+ " <td>306</td>\n",
+ " <td>310</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>13</td>\n",
+ " <td>287.0</td>\n",
+ " <td>307</td>\n",
+ " <td>319</td>\n",
+ " <td>314</td>\n",
+ " <td>280</td>\n",
+ " <td>323</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>14</td>\n",
+ " <td>434.0</td>\n",
+ " <td>287</td>\n",
+ " <td>286</td>\n",
+ " <td>306</td>\n",
+ " <td>295</td>\n",
+ " <td>221</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>15</td>\n",
+ " <td>435.0</td>\n",
+ " <td>301</td>\n",
+ " <td>350</td>\n",
+ " <td>270</td>\n",
+ " <td>292</td>\n",
+ " <td>294</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>16</td>\n",
+ " <td>424.0</td>\n",
+ " <td>316</td>\n",
+ " <td>280</td>\n",
+ " <td>245</td>\n",
+ " <td>293</td>\n",
+ " <td>327</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>17</td>\n",
+ " <td>470.0</td>\n",
+ " <td>272</td>\n",
+ " <td>282</td>\n",
+ " <td>327</td>\n",
+ " <td>306</td>\n",
+ " <td>316</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>18</td>\n",
+ " <td>427.0</td>\n",
+ " <td>357</td>\n",
+ " <td>292</td>\n",
+ " <td>258</td>\n",
+ " <td>258</td>\n",
+ " <td>335</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>19</td>\n",
" <td>NaN</td>\n",
- " <td>2046</td>\n",
+ " <td>288</td>\n",
+ " <td>230</td>\n",
+ " <td>302</td>\n",
+ " <td>318</td>\n",
+ " <td>256</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>20</td>\n",
" <td>NaN</td>\n",
- " <td>49</td>\n",
- " <td>17</td>\n",
+ " <td>330</td>\n",
+ " <td>268</td>\n",
+ " <td>315</td>\n",
+ " <td>259</td>\n",
" <td>299</td>\n",
- " <td>1482</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",
- " <td>2</td>\n",
- " <td>2016-01-15</td>\n",
- " <td>11501</td>\n",
- " <td>13016.4</td>\n",
+ " <td>21</td>\n",
+ " <td>NaN</td>\n",
+ " <td>308</td>\n",
+ " <td>268</td>\n",
+ " <td>328</td>\n",
+ " <td>280</td>\n",
+ " <td>290</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>22</td>\n",
" <td>NaN</td>\n",
- " <td>1835</td>\n",
+ " <td>245</td>\n",
+ " <td>252</td>\n",
+ " <td>256</td>\n",
+ " <td>284</td>\n",
+ " <td>258</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>23</td>\n",
" <td>NaN</td>\n",
- " <td>64</td>\n",
+ " <td>279</td>\n",
+ " <td>276</td>\n",
+ " <td>292</td>\n",
+ " <td>275</td>\n",
+ " <td>340</td>\n",
+ " </tr>\n",
+ " <tr>\n",
" <td>24</td>\n",
- " <td>326</td>\n",
- " <td>1363</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",
+ " <td>NaN</td>\n",
+ " <td>281</td>\n",
+ " <td>277</td>\n",
+ " <td>300</td>\n",
+ " <td>299</td>\n",
+ " <td>272</td>\n",
" </tr>\n",
" <tr>\n",
- " <td>3</td>\n",
- " <td>2016-01-22</td>\n",
- " <td>11473</td>\n",
- " <td>11765.4</td>\n",
+ " <td>25</td>\n",
" <td>NaN</td>\n",
- " <td>1775</td>\n",
+ " <td>296</td>\n",
+ " <td>265</td>\n",
+ " <td>271</td>\n",
+ " <td>252</td>\n",
+ " <td>292</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>26</td>\n",
" <td>NaN</td>\n",
- " <td>50</td>\n",
- " <td>18</td>\n",
- " <td>345</td>\n",
- " <td>1293</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",
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+ " <td>271</td>\n",
+ " <td>296</td>\n",
+ " <td>291</td>\n",
+ " <td>303</td>\n",
" </tr>\n",
" <tr>\n",
- " <td>4</td>\n",
- " <td>2016-01-29</td>\n",
- " <td>11317</td>\n",
- " <td>11289.0</td>\n",
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" <td>NaN</td>\n",
- " <td>1810</td>\n",
+ " <td>285</td>\n",
+ " <td>266</td>\n",
+ " <td>262</td>\n",
+ " <td>286</td>\n",
+ " <td>300</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>28</td>\n",
" <td>NaN</td>\n",
- " <td>47</td>\n",
- " <td>14</td>\n",
- " <td>324</td>\n",
- " <td>1322</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",
+ " <td>256</td>\n",
+ " <td>172</td>\n",
+ " <td>253</td>\n",
+ " <td>237</td>\n",
+ " <td>252</td>\n",
" </tr>\n",
" <tr>\n",
- " <td>5</td>\n",
- " <td>2016-02-05</td>\n",
- " <td>11052</td>\n",
- " <td>10965.6</td>\n",
+ " <td>29</td>\n",
" <td>NaN</td>\n",
- " <td>1748</td>\n",
+ " <td>280</td>\n",
+ " <td>298</td>\n",
+ " <td>288</td>\n",
+ " <td>281</td>\n",
+ " <td>203</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>30</td>\n",
" <td>NaN</td>\n",
- " <td>60</td>\n",
- " <td>22</td>\n",
- " <td>314</td>\n",
- " <td>1281</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",
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+ " <td>282</td>\n",
+ " <td>287</td>\n",
+ " <td>298</td>\n",
+ " <td>274</td>\n",
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+ " <td>31</td>\n",
+ " <td>NaN</td>\n",
+ " <td>273</td>\n",
+ " <td>278</td>\n",
+ " <td>287</td>\n",
+ " <td>264</td>\n",
+ " <td>291</td>\n",
+ " </tr>\n",
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+ " <td>32</td>\n",
+ " <td>NaN</td>\n",
+ " <td>266</td>\n",
+ " <td>270</td>\n",
+ " <td>238</td>\n",
+ " <td>270</td>\n",
+ " <td>248</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>33</td>\n",
+ " <td>NaN</td>\n",
+ " <td>284</td>\n",
+ " <td>283</td>\n",
+ " <td>266</td>\n",
+ " <td>260</td>\n",
+ " <td>235</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>34</td>\n",
+ " <td>NaN</td>\n",
+ " <td>274</td>\n",
+ " <td>280</td>\n",
+ " <td>271</td>\n",
+ " <td>301</td>\n",
+ " <td>251</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>35</td>\n",
+ " <td>NaN</td>\n",
+ " <td>223</td>\n",
+ " <td>251</td>\n",
+ " <td>243</td>\n",
+ " <td>264</td>\n",
+ " <td>259</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>36</td>\n",
+ " <td>NaN</td>\n",
+ " <td>243</td>\n",
+ " <td>265</td>\n",
+ " <td>278</td>\n",
+ " <td>275</td>\n",
+ " <td>237</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>37</td>\n",
+ " <td>NaN</td>\n",
+ " <td>305</td>\n",
+ " <td>285</td>\n",
+ " <td>266</td>\n",
+ " <td>294</td>\n",
+ " <td>324</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>38</td>\n",
+ " <td>NaN</td>\n",
+ " <td>281</td>\n",
+ " <td>247</td>\n",
+ " <td>292</td>\n",
+ " <td>272</td>\n",
+ " <td>283</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>39</td>\n",
+ " <td>NaN</td>\n",
+ " <td>295</td>\n",
+ " <td>298</td>\n",
+ " <td>282</td>\n",
+ " <td>275</td>\n",
+ " <td>287</td>\n",
" </tr>\n",
- " </tbody>\n",
- "</table>\n",
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- "</div>"
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- "text/plain": [
- "Week number Week ended Total deaths, all ages \\\n",
- " Unnamed: 1_level_1 Unnamed: 2_level_1 \n",
- "1 2016-01-08 13045 \n",
- "2 2016-01-15 11501 \n",
- "3 2016-01-22 11473 \n",
- "4 2016-01-29 11317 \n",
- "5 2016-02-05 11052 \n",
- "\n",
- "Week number Total deaths: average of corresponding Unnamed: 4_level_0 \\\n",
- " Unnamed: 3_level_1 Deaths by underlying cause \n",
- "1 11701.4 NaN \n",
- "2 13016.4 NaN \n",
- "3 11765.4 NaN \n",
- "4 11289.0 NaN \n",
- "5 10965.6 NaN \n",
- "\n",
- "Week number Unnamed: 5_level_0 \\\n",
- " All respiratory diseases (ICD-10 J00-J99)\\nICD-10 v 2013 (IRIS) \n",
- "1 2046 \n",
- "2 1835 \n",
- "3 1775 \n",
- "4 1810 \n",
- "5 1748 \n",
- "\n",
- "Week number Persons Unnamed: 7_level_0 Unnamed: 8_level_0 \\\n",
- " Deaths by age group Under 1 year 01-14 \n",
- "1 NaN 49 17 \n",
- "2 NaN 64 24 \n",
- "3 NaN 50 18 \n",
- "4 NaN 47 14 \n",
- "5 NaN 60 22 \n",
- "\n",
- "Week number Unnamed: 9_level_0 Unnamed: 10_level_0 ... E12000001 E12000002 \\\n",
- " 15-44 45-64 ... North East North West \n",
- "1 299 1482 ... 705 1748 \n",
- "2 326 1363 ... 600 1532 \n",
- "3 345 1293 ... 612 1602 \n",
- "4 324 1322 ... 631 1516 \n",
- "5 314 1281 ... 620 1459 \n",
- "\n",
- "Week number E12000003 E12000004 E12000005 E12000006 \\\n",
- " Yorkshire and The Humber East Midlands West Midlands East \n",
- "1 1284 1067 1396 1401 \n",
- "2 1148 956 1208 1237 \n",
- "3 1119 929 1209 1253 \n",
- "4 1131 858 1195 1236 \n",
- "5 1109 954 1197 1160 \n",
- "\n",
- "Week number E12000007 E12000008 E12000009 W92000004 \n",
- " London South East South West Wales \n",
- "1 1226 1951 1424 809 \n",
- "2 1048 1771 1263 711 \n",
- "3 1068 1710 1219 720 \n",
- "4 1065 1730 1207 717 \n",
- "5 1059 1604 1169 690 \n",
- "\n",
- "[5 rows x 40 columns]"
- ]
- },
- "execution_count": 98,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "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": 114,
- "metadata": {},
- "outputs": [
- {
- "data": {
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" </tr>\n",
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- " <td>1</td>\n",
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- " <td>12286</td>\n",
- " <td>11837.6</td>\n",
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- " <td>16</td>\n",
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- " <td>1233</td>\n",
- " <td>1811</td>\n",
- " <td>1272</td>\n",
- " <td>725</td>\n",
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- " <td>2</td>\n",
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- " <td>2015-01-16</td>\n",
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],
"text/plain": [
- "Week number Week ended Total deaths, all ages \\\n",
- " Unnamed: 1_level_1 Unnamed: 2_level_1 \n",
- "1 2015-01-02 12286 \n",
- "2 2015-01-09 16237 \n",
- "3 2015-01-16 14866 \n",
- "4 2015-01-23 13934 \n",
- "5 2015-01-30 12900 \n",
- "\n",
- "Week number Total deaths: average of corresponding Unnamed: 4_level_0 \\\n",
- " Unnamed: 3_level_1 Deaths by underlying cause \n",
- "1 11837.6 NaN \n",
- "2 12277.0 NaN \n",
- "3 11145.0 NaN \n",
- "4 10714.0 NaN \n",
- "5 10492.0 NaN \n",
- "\n",
- "Week number Unnamed: 5_level_0 \\\n",
- " All respiratory diseases (ICD-10 J00-J99)\\nICD-10 v 2013 (IRIS) \n",
- "1 2418 \n",
- "2 3521 \n",
- "3 3251 \n",
- "4 2734 \n",
- "5 2278 \n",
- "\n",
- "Week number Persons Unnamed: 7_level_0 Unnamed: 8_level_0 \\\n",
- " Deaths by age group Under 1 year 01-14 \n",
- "1 NaN 56 16 \n",
- "2 NaN 80 28 \n",
- "3 NaN 46 28 \n",
- "4 NaN 61 20 \n",
- "5 NaN 66 20 \n",
- "\n",
- "Week number Unnamed: 9_level_0 Unnamed: 10_level_0 ... E12000001 E12000002 \\\n",
- " 15-44 45-64 ... North East North West \n",
- "1 198 1229 ... 699 1718 \n",
- "2 298 1552 ... 753 2282 \n",
- "3 316 1393 ... 799 1968 \n",
- "4 318 1387 ... 798 1806 \n",
- "5 329 1368 ... 717 1669 \n",
- "\n",
- "Week number E12000003 E12000004 E12000005 E12000006 \\\n",
- " Yorkshire and The Humber East Midlands West Midlands East \n",
- "1 1261 1012 1296 1221 \n",
- "2 1607 1328 1713 1712 \n",
- "3 1442 1286 1542 1657 \n",
- "4 1386 1206 1400 1565 \n",
- "5 1220 1119 1395 1450 \n",
- "\n",
- "Week number E12000007 E12000008 E12000009 W92000004 \n",
- " London South East South West Wales \n",
- "1 1233 1811 1272 725 \n",
- "2 1549 2525 1697 1031 \n",
- "3 1275 2427 1498 936 \n",
- "4 1220 2196 1510 828 \n",
- "5 1119 1991 1398 801 \n",
- "\n",
- "[5 rows x 40 columns]"
+ " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
+ "1 353.0 365 447 416 424 319\n",
+ "2 395.0 371 481 434 348 373\n",
+ "3 411.0 332 470 397 372 383\n",
+ "4 347.0 335 426 387 355 397\n",
+ "5 323.0 296 433 371 314 374\n",
+ "6 332.0 319 351 336 310 347\n",
+ "7 306.0 342 364 337 217 328\n",
+ "8 297.0 337 366 351 423 317\n",
+ "9 347.0 310 314 352 298 401\n",
+ "10 312.0 342 387 357 309 346\n",
+ "11 324.0 343 359 251 292 323\n",
+ "12 271.0 294 326 356 306 310\n",
+ "13 287.0 307 319 314 280 323\n",
+ "14 434.0 287 286 306 295 221\n",
+ "15 435.0 301 350 270 292 294\n",
+ "16 424.0 316 280 245 293 327\n",
+ "17 470.0 272 282 327 306 316\n",
+ "18 427.0 357 292 258 258 335\n",
+ "19 NaN 288 230 302 318 256\n",
+ "20 NaN 330 268 315 259 299\n",
+ "21 NaN 308 268 328 280 290\n",
+ "22 NaN 245 252 256 284 258\n",
+ "23 NaN 279 276 292 275 340\n",
+ "24 NaN 281 277 300 299 272\n",
+ "25 NaN 296 265 271 252 292\n",
+ "26 NaN 262 271 296 291 303\n",
+ "27 NaN 285 266 262 286 300\n",
+ "28 NaN 256 172 253 237 252\n",
+ "29 NaN 280 298 288 281 203\n",
+ "30 NaN 269 282 287 298 274\n",
+ "31 NaN 273 278 287 264 291\n",
+ "32 NaN 266 270 238 270 248\n",
+ "33 NaN 284 283 266 260 235\n",
+ "34 NaN 274 280 271 301 251\n",
+ "35 NaN 223 251 243 264 259\n",
+ "36 NaN 243 265 278 275 237\n",
+ "37 NaN 305 285 266 294 324\n",
+ "38 NaN 281 247 292 272 283\n",
+ "39 NaN 295 298 282 275 287\n",
+ "40 NaN 263 324 307 308 282\n",
+ "41 NaN 287 318 284 288 304\n",
+ "42 NaN 316 282 291 296 299\n",
+ "43 NaN 279 263 318 272 274\n",
+ "44 NaN 302 252 320 279 292\n",
+ "45 NaN 296 293 295 290 290\n",
+ "46 NaN 336 275 323 341 297\n",
+ "47 NaN 361 274 303 329 294\n",
+ "48 NaN 334 297 355 303 279\n",
+ "49 NaN 351 324 324 322 294\n",
+ "50 NaN 353 316 372 324 343\n",
+ "51 NaN 363 317 354 360 301\n",
+ "52 NaN 194 195 249 199 232"
]
},
- "execution_count": 114,
+ "execution_count": 163,
"metadata": {},
"output_type": "execute_result"
}
],
"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()"
+ "deaths_headlines_i = deaths_headlines_i.merge(dh19i['total_2019'], how='outer', left_index=True, right_index=True)\n",
+ "deaths_headlines_i = deaths_headlines_i.merge(dh18i['total_2018'], how='outer', left_index=True, right_index=True)\n",
+ "deaths_headlines_i = deaths_headlines_i.merge(dh17i['total_2017'], how='outer', left_index=True, right_index=True)\n",
+ "deaths_headlines_i = deaths_headlines_i.merge(dh16i['total_2016'], how='outer', left_index=True, right_index=True)\n",
+ "deaths_headlines_i = deaths_headlines_i.merge(dh15i['total_2015'], how='left', left_index=True, right_index=True)\n",
+ "deaths_headlines_i"
]
},
{
"cell_type": "code",
- "execution_count": 115,
+ "execution_count": 186,
"metadata": {},
"outputs": [
{
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>total_2020</th>\n",
- " <th>total_previous</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",
" <td>1</td>\n",
- " <td>12254</td>\n",
- " <td>12175</td>\n",
+ " <td>13768.0</td>\n",
+ " <td>12424.0</td>\n",
+ " <td>14701.0</td>\n",
+ " <td>13612.0</td>\n",
+ " <td>14863.0</td>\n",
+ " <td>13751.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>2</td>\n",
- " <td>14058</td>\n",
- " <td>13822</td>\n",
+ " <td>16020.0</td>\n",
+ " <td>14487.0</td>\n",
+ " <td>17430.0</td>\n",
+ " <td>15528.0</td>\n",
+ " <td>13154.0</td>\n",
+ " <td>18318.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>3</td>\n",
- " <td>12990</td>\n",
- " <td>13216</td>\n",
+ " <td>14723.0</td>\n",
+ " <td>13545.0</td>\n",
+ " <td>16355.0</td>\n",
+ " <td>15231.0</td>\n",
+ " <td>13060.0</td>\n",
+ " <td>16738.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>4</td>\n",
- " <td>11856</td>\n",
- " <td>12760</td>\n",
+ " <td>13429.0</td>\n",
+ " <td>13283.0</td>\n",
+ " <td>15971.0</td>\n",
+ " <td>14461.0</td>\n",
+ " <td>12859.0</td>\n",
+ " <td>15712.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>5</td>\n",
- " <td>11612</td>\n",
- " <td>12206</td>\n",
+ " <td>13123.0</td>\n",
+ " <td>12799.0</td>\n",
+ " <td>15087.0</td>\n",
+ " <td>14188.0</td>\n",
+ " <td>12571.0</td>\n",
+ " <td>14560.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>6</td>\n",
- " <td>10986</td>\n",
- " <td>11925</td>\n",
+ " <td>12534.0</td>\n",
+ " <td>13222.0</td>\n",
+ " <td>14111.0</td>\n",
+ " <td>13805.0</td>\n",
+ " <td>12697.0</td>\n",
+ " <td>13730.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>7</td>\n",
- " <td>10944</td>\n",
- " <td>11627</td>\n",
+ " <td>12412.0</td>\n",
+ " <td>13347.0</td>\n",
+ " <td>13925.0</td>\n",
+ " <td>13212.0</td>\n",
+ " <td>12016.0</td>\n",
+ " <td>13510.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>8</td>\n",
- " <td>10841</td>\n",
- " <td>11548</td>\n",
+ " <td>12300.0</td>\n",
+ " <td>12877.0</td>\n",
+ " <td>13753.0</td>\n",
+ " <td>13330.0</td>\n",
+ " <td>12718.0</td>\n",
+ " <td>13071.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>9</td>\n",
- " <td>10816</td>\n",
- " <td>11183</td>\n",
+ " <td>12334.0</td>\n",
+ " <td>12479.0</td>\n",
+ " <td>12190.0</td>\n",
+ " <td>12819.0</td>\n",
+ " <td>12733.0</td>\n",
+ " <td>13181.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>10</td>\n",
- " <td>10895</td>\n",
- " <td>11498</td>\n",
+ " <td>12415.0</td>\n",
+ " <td>12396.0</td>\n",
+ " <td>14859.0</td>\n",
+ " <td>12580.0</td>\n",
+ " <td>12493.0</td>\n",
+ " <td>13007.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>11</td>\n",
- " <td>11019</td>\n",
- " <td>11205</td>\n",
+ " <td>12499.0</td>\n",
+ " <td>12018.0</td>\n",
+ " <td>14367.0</td>\n",
+ " <td>12089.0</td>\n",
+ " <td>12489.0</td>\n",
+ " <td>12475.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>12</td>\n",
- " <td>10645</td>\n",
- " <td>10573</td>\n",
+ " <td>12112.0</td>\n",
+ " <td>11797.0</td>\n",
+ " <td>13397.0</td>\n",
+ " <td>11833.0</td>\n",
+ " <td>10983.0</td>\n",
+ " <td>12027.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>13</td>\n",
- " <td>11141</td>\n",
- " <td>10130</td>\n",
+ " <td>12507.0</td>\n",
+ " <td>11260.0</td>\n",
+ " <td>11310.0</td>\n",
+ " <td>11453.0</td>\n",
+ " <td>11738.0</td>\n",
+ " <td>11987.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>14</td>\n",
- " <td>16387</td>\n",
- " <td>10305</td>\n",
+ " <td>18565.0</td>\n",
+ " <td>11445.0</td>\n",
+ " <td>12272.0</td>\n",
+ " <td>11305.0</td>\n",
+ " <td>13060.0</td>\n",
+ " <td>10325.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>15</td>\n",
- " <td>18516</td>\n",
- " <td>10520</td>\n",
+ " <td>20929.0</td>\n",
+ " <td>11661.0</td>\n",
+ " <td>13843.0</td>\n",
+ " <td>9761.0</td>\n",
+ " <td>12757.0</td>\n",
+ " <td>11575.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>16</td>\n",
- " <td>22351</td>\n",
- " <td>10497</td>\n",
+ " <td>24691.0</td>\n",
+ " <td>10243.0</td>\n",
+ " <td>12639.0</td>\n",
+ " <td>11000.0</td>\n",
+ " <td>12310.0</td>\n",
+ " <td>13061.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>17</td>\n",
- " <td>21997</td>\n",
- " <td>10458</td>\n",
+ " <td>24303.0</td>\n",
+ " <td>11452.0</td>\n",
+ " <td>11596.0</td>\n",
+ " <td>12356.0</td>\n",
+ " <td>11795.0</td>\n",
+ " <td>12023.0</td>\n",
" </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " total_2020 total_previous\n",
- "1 12254 12175\n",
- "2 14058 13822\n",
- "3 12990 13216\n",
- "4 11856 12760\n",
- "5 11612 12206\n",
- "6 10986 11925\n",
- "7 10944 11627\n",
- "8 10841 11548\n",
- "9 10816 11183\n",
- "10 10895 11498\n",
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- "13 11141 10130\n",
- "14 16387 10305\n",
- "15 18516 10520\n",
- "16 22351 10497\n",
- "17 21997 10458"
- ]
- },
- "execution_count": 115,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines = raw_data_2020.iloc[:, [1, 2]]\n",
- "deaths_headlines.columns = ['total_2020', 'total_previous']\n",
- "deaths_headlines"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 116,
- "metadata": {},
- "outputs": [
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- " <td>5</td>\n",
- " <td>11297</td>\n",
- " <td>11998</td>\n",
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- " </tbody>\n",
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- ],
- "text/plain": [
- " total_2019 total_previous\n",
- "1 10955 12273\n",
- "2 12609 13670\n",
- "3 11860 13056\n",
- "4 11740 12486\n",
- "5 11297 11998"
- ]
- },
- "execution_count": 116,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "dh19 = raw_data_2019.iloc[:, [1, 2]]\n",
- "dh19.columns = ['total_2019', 'total_previous']\n",
- "dh19.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 117,
- "metadata": {},
- "outputs": [
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+ " <td>10324.0</td>\n",
+ " <td>10353.0</td>\n",
+ " <td>10426.0</td>\n",
+ " <td>10672.0</td>\n",
+ " <td>10028.0</td>\n",
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- " </tbody>\n",
- "</table>\n",
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- ],
- "text/plain": [
- " total_2018 total_previous\n",
- "1 12723 12079\n",
- "2 15050 13167\n",
- "3 14256 12418\n",
- "4 13935 11954\n",
- "5 13285 11605"
- ]
- },
- "execution_count": 117,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "dh18 = raw_data_2018.iloc[:, [1, 2]]\n",
- "dh18.columns = ['total_2018', 'total_previous']\n",
- "dh18.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 118,
- "metadata": {},
- "outputs": [
- {
- "data": {
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- " <td>12692</td>\n",
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" <tr>\n",
- " <td>3</td>\n",
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- " <td>11773</td>\n",
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+ " <td>10199.0</td>\n",
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- " <td>4</td>\n",
- " <td>12877</td>\n",
- " <td>11441</td>\n",
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+ " <td>10239.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <td>5</td>\n",
- " <td>12485</td>\n",
- " <td>11128</td>\n",
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- "text/plain": [
- " total_2017 total_previous\n",
- "1 11991 11782\n",
- "2 13715 12692\n",
- "3 13610 11773\n",
- "4 12877 11441\n",
- "5 12485 11128"
- ]
- },
- "execution_count": 118,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "dh17 = raw_data_2017.iloc[:, [1, 2]]\n",
- "dh17.columns = ['total_2017', 'total_previous']\n",
- "dh17.head()"
- ]
- },
- {
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- " total_2016 total_previous\n",
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- ]
- },
- "execution_count": 119,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "dh16 = raw_data_2016.iloc[:, [1, 2]]\n",
- "dh16.columns = ['total_2016', 'total_previous']\n",
- "dh16.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 120,
- "metadata": {},
- "outputs": [
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+ " <td>12136.0</td>\n",
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"text/plain": [
- " total_2015 total_previous\n",
- "1 12286 11837.6\n",
- "2 16237 12277.0\n",
- "3 14866 11145.0\n",
- "4 13934 10714.0\n",
- "5 12900 10492.0"
+ " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
+ "1 13768.0 12424.0 14701.0 13612.0 14863.0 13751.0\n",
+ "2 16020.0 14487.0 17430.0 15528.0 13154.0 18318.0\n",
+ "3 14723.0 13545.0 16355.0 15231.0 13060.0 16738.0\n",
+ "4 13429.0 13283.0 15971.0 14461.0 12859.0 15712.0\n",
+ "5 13123.0 12799.0 15087.0 14188.0 12571.0 14560.0\n",
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+ "7 12412.0 13347.0 13925.0 13212.0 12016.0 13510.0\n",
+ "8 12300.0 12877.0 13753.0 13330.0 12718.0 13071.0\n",
+ "9 12334.0 12479.0 12190.0 12819.0 12733.0 13181.0\n",
+ "10 12415.0 12396.0 14859.0 12580.0 12493.0 13007.0\n",
+ "11 12499.0 12018.0 14367.0 12089.0 12489.0 12475.0\n",
+ "12 12112.0 11797.0 13397.0 11833.0 10983.0 12027.0\n",
+ "13 12507.0 11260.0 11310.0 11453.0 11738.0 11987.0\n",
+ "14 18565.0 11445.0 12272.0 11305.0 13060.0 10325.0\n",
+ "15 20929.0 11661.0 13843.0 9761.0 12757.0 11575.0\n",
+ "16 24691.0 10243.0 12639.0 11000.0 12310.0 13061.0\n",
+ "17 24303.0 11452.0 11596.0 12356.0 11795.0 12023.0\n",
+ "18 20059.0 12695.0 11538.0 10372.0 10401.0 11586.0\n",
+ "19 NaN 10361.0 9821.0 12114.0 12002.0 10138.0\n",
+ "20 NaN 11717.0 11386.0 11718.0 11222.0 11692.0\n",
+ "21 NaN 11653.0 10974.0 11431.0 11013.0 11334.0\n",
+ "22 NaN 9534.0 9397.0 9603.0 9192.0 9514.0\n",
+ "23 NaN 11461.0 11259.0 11134.0 11171.0 11603.0\n",
+ "24 NaN 10754.0 10535.0 10698.0 10673.0 10858.0\n",
+ "25 NaN 10807.0 10514.0 10930.0 10611.0 10629.0\n",
+ "26 NaN 10824.0 10529.0 10624.0 10526.0 10525.0\n",
+ "27 NaN 10328.0 10565.0 10565.0 10412.0 10545.0\n",
+ "28 NaN 10512.0 10467.0 10643.0 10647.0 10278.0\n",
+ "29 NaN 10324.0 10353.0 10426.0 10672.0 10028.0\n",
+ "30 NaN 10422.0 10356.0 10147.0 10612.0 10021.0\n",
+ "31 NaN 10564.0 10408.0 10239.0 10433.0 9893.0\n",
+ "32 NaN 10406.0 10542.0 10278.0 10439.0 10153.0\n",
+ "33 NaN 10405.0 10091.0 10569.0 10312.0 10352.0\n",
+ "34 NaN 10279.0 10199.0 10698.0 10637.0 10354.0\n",
+ "35 NaN 9478.0 9046.0 9372.0 9226.0 10239.0\n",
+ "36 NaN 10918.0 10680.0 10781.0 10681.0 9092.0\n",
+ "37 NaN 10892.0 10496.0 10692.0 10401.0 10573.0\n",
+ "38 NaN 10792.0 10498.0 10875.0 10183.0 10381.0\n",
+ "39 NaN 10954.0 10463.0 11027.0 10278.0 10826.0\n",
+ "40 NaN 11113.0 10869.0 11101.0 10671.0 10700.0\n",
+ "41 NaN 11403.0 11048.0 11357.0 11016.0 11108.0\n",
+ "42 NaN 11625.0 11177.0 11389.0 11134.0 10799.0\n",
+ "43 NaN 11415.0 10885.0 11152.0 11048.0 10966.0\n",
+ "44 NaN 11567.0 10866.0 11366.0 11463.0 11026.0\n",
+ "45 NaN 12177.0 11588.0 11767.0 11803.0 11312.0\n",
+ "46 NaN 12146.0 11552.0 11773.0 12209.0 11338.0\n",
+ "47 NaN 12472.0 11289.0 12102.0 12064.0 11178.0\n",
+ "48 NaN 12455.0 11392.0 12046.0 11901.0 11216.0\n",
+ "49 NaN 12275.0 11687.0 12342.0 12733.0 11748.0\n",
+ "50 NaN 12853.0 12078.0 12924.0 12076.0 11713.0\n",
+ "51 NaN 13566.0 12649.0 14308.0 13137.0 12136.0\n",
+ "52 NaN 8727.0 8384.0 9904.0 9335.0 9806.0\n",
+ "53 NaN NaN NaN NaN NaN NaN"
]
},
- "execution_count": 120,
+ "execution_count": 186,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "dh15 = raw_data_2015.iloc[:, [1, 2]]\n",
- "dh15.columns = ['total_2015', 'total_previous']\n",
- "dh15.head()"
+ "deaths_headlines = deaths_headlines_e + deaths_headlines_w + deaths_headlines_i + deaths_headlines_s\n",
+ "deaths_headlines"
]
},
{
"cell_type": "code",
- "execution_count": 121,
+ "execution_count": 187,
"metadata": {},
"outputs": [
{
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>total_2020</th>\n",
- " <th>total_previous</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",
+ " <th>previous_mean</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td>1</td>\n",
- " <td>12254.0</td>\n",
- " <td>12175.0</td>\n",
- " <td>10955.0</td>\n",
- " <td>12723.0</td>\n",
- " <td>11991.0</td>\n",
- " <td>13045.0</td>\n",
- " <td>12286</td>\n",
+ " <td>13768.0</td>\n",
+ " <td>12424.0</td>\n",
+ " <td>14701.0</td>\n",
+ " <td>13612.0</td>\n",
+ " <td>14863.0</td>\n",
+ " <td>13751.0</td>\n",
+ " <td>13870.2</td>\n",
" </tr>\n",
" <tr>\n",
" <td>2</td>\n",
- " <td>14058.0</td>\n",
- " <td>13822.0</td>\n",
- " <td>12609.0</td>\n",
- " <td>15050.0</td>\n",
- " <td>13715.0</td>\n",
- " <td>11501.0</td>\n",
- " <td>16237</td>\n",
+ " <td>16020.0</td>\n",
+ " <td>14487.0</td>\n",
+ " <td>17430.0</td>\n",
+ " <td>15528.0</td>\n",
+ " <td>13154.0</td>\n",
+ " <td>18318.0</td>\n",
+ " <td>15783.4</td>\n",
" </tr>\n",
" <tr>\n",
" <td>3</td>\n",
- " <td>12990.0</td>\n",
- " <td>13216.0</td>\n",
- " <td>11860.0</td>\n",
- " <td>14256.0</td>\n",
- " <td>13610.0</td>\n",
- " <td>11473.0</td>\n",
- " <td>14866</td>\n",
+ " <td>14723.0</td>\n",
+ " <td>13545.0</td>\n",
+ " <td>16355.0</td>\n",
+ " <td>15231.0</td>\n",
+ " <td>13060.0</td>\n",
+ " <td>16738.0</td>\n",
+ " <td>14985.8</td>\n",
" </tr>\n",
" <tr>\n",
" <td>4</td>\n",
- " <td>11856.0</td>\n",
- " <td>12760.0</td>\n",
- " <td>11740.0</td>\n",
- " <td>13935.0</td>\n",
- " <td>12877.0</td>\n",
- " <td>11317.0</td>\n",
- " <td>13934</td>\n",
+ " <td>13429.0</td>\n",
+ " <td>13283.0</td>\n",
+ " <td>15971.0</td>\n",
+ " <td>14461.0</td>\n",
+ " <td>12859.0</td>\n",
+ " <td>15712.0</td>\n",
+ " <td>14457.2</td>\n",
" </tr>\n",
" <tr>\n",
" <td>5</td>\n",
- " <td>11612.0</td>\n",
- " <td>12206.0</td>\n",
- " <td>11297.0</td>\n",
- " <td>13285.0</td>\n",
- " <td>12485.0</td>\n",
- " <td>11052.0</td>\n",
- " <td>12900</td>\n",
+ " <td>13123.0</td>\n",
+ " <td>12799.0</td>\n",
+ " <td>15087.0</td>\n",
+ " <td>14188.0</td>\n",
+ " <td>12571.0</td>\n",
+ " <td>14560.0</td>\n",
+ " <td>13841.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>6</td>\n",
- " <td>10986.0</td>\n",
- " <td>11925.0</td>\n",
- " <td>11660.0</td>\n",
- " <td>12495.0</td>\n",
- " <td>12269.0</td>\n",
- " <td>11170.0</td>\n",
- " <td>12039</td>\n",
+ " <td>12534.0</td>\n",
+ " <td>13222.0</td>\n",
+ " <td>14111.0</td>\n",
+ " <td>13805.0</td>\n",
+ " <td>12697.0</td>\n",
+ " <td>13730.0</td>\n",
+ " <td>13513.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>7</td>\n",
- " <td>10944.0</td>\n",
- " <td>11627.0</td>\n",
- " <td>11824.0</td>\n",
- " <td>12246.0</td>\n",
- " <td>11644.0</td>\n",
- " <td>10590.0</td>\n",
- " <td>11822</td>\n",
+ " <td>12412.0</td>\n",
+ " <td>13347.0</td>\n",
+ " <td>13925.0</td>\n",
+ " <td>13212.0</td>\n",
+ " <td>12016.0</td>\n",
+ " <td>13510.0</td>\n",
+ " <td>13202.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>8</td>\n",
- " <td>10841.0</td>\n",
- " <td>11548.0</td>\n",
- " <td>11295.0</td>\n",
- " <td>12142.0</td>\n",
- " <td>11794.0</td>\n",
- " <td>11056.0</td>\n",
- " <td>11434</td>\n",
+ " <td>12300.0</td>\n",
+ " <td>12877.0</td>\n",
+ " <td>13753.0</td>\n",
+ " <td>13330.0</td>\n",
+ " <td>12718.0</td>\n",
+ " <td>13071.0</td>\n",
+ " <td>13149.8</td>\n",
" </tr>\n",
" <tr>\n",
" <td>9</td>\n",
- " <td>10816.0</td>\n",
- " <td>11183.0</td>\n",
- " <td>11044.0</td>\n",
- " <td>10854.0</td>\n",
- " <td>11248.0</td>\n",
- " <td>11285.0</td>\n",
- " <td>11472</td>\n",
+ " <td>12334.0</td>\n",
+ " <td>12479.0</td>\n",
+ " <td>12190.0</td>\n",
+ " <td>12819.0</td>\n",
+ " <td>12733.0</td>\n",
+ " <td>13181.0</td>\n",
+ " <td>12680.4</td>\n",
" </tr>\n",
" <tr>\n",
" <td>10</td>\n",
- " <td>10895.0</td>\n",
- " <td>11498.0</td>\n",
- " <td>10898.0</td>\n",
- " <td>12997.0</td>\n",
- " <td>11077.0</td>\n",
- " <td>11010.0</td>\n",
- " <td>11469</td>\n",
+ " <td>12415.0</td>\n",
+ " <td>12396.0</td>\n",
+ " <td>14859.0</td>\n",
+ " <td>12580.0</td>\n",
+ " <td>12493.0</td>\n",
+ " <td>13007.0</td>\n",
+ " <td>13067.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>11</td>\n",
- " <td>11019.0</td>\n",
- " <td>11205.0</td>\n",
- " <td>10567.0</td>\n",
- " <td>12788.0</td>\n",
- " <td>10697.0</td>\n",
- " <td>11022.0</td>\n",
- " <td>10951</td>\n",
+ " <td>12499.0</td>\n",
+ " <td>12018.0</td>\n",
+ " <td>14367.0</td>\n",
+ " <td>12089.0</td>\n",
+ " <td>12489.0</td>\n",
+ " <td>12475.0</td>\n",
+ " <td>12687.6</td>\n",
" </tr>\n",
" <tr>\n",
" <td>12</td>\n",
- " <td>10645.0</td>\n",
- " <td>10573.0</td>\n",
- " <td>10402.0</td>\n",
- " <td>11913.0</td>\n",
- " <td>10325.0</td>\n",
- " <td>9635.0</td>\n",
- " <td>10568</td>\n",
+ " <td>12112.0</td>\n",
+ " <td>11797.0</td>\n",
+ " <td>13397.0</td>\n",
+ " <td>11833.0</td>\n",
+ " <td>10983.0</td>\n",
+ " <td>12027.0</td>\n",
+ " <td>12007.4</td>\n",
" </tr>\n",
" <tr>\n",
" <td>13</td>\n",
- " <td>11141.0</td>\n",
- " <td>10130.0</td>\n",
- " <td>9867.0</td>\n",
- " <td>9941.0</td>\n",
- " <td>10027.0</td>\n",
- " <td>10286.0</td>\n",
- " <td>10493</td>\n",
+ " <td>12507.0</td>\n",
+ " <td>11260.0</td>\n",
+ " <td>11310.0</td>\n",
+ " <td>11453.0</td>\n",
+ " <td>11738.0</td>\n",
+ " <td>11987.0</td>\n",
+ " <td>11549.6</td>\n",
" </tr>\n",
" <tr>\n",
" <td>14</td>\n",
- " <td>16387.0</td>\n",
- " <td>10305.0</td>\n",
- " <td>10126.0</td>\n",
- " <td>10794.0</td>\n",
- " <td>9939.0</td>\n",
- " <td>11599.0</td>\n",
- " <td>9062</td>\n",
+ " <td>18565.0</td>\n",
+ " <td>11445.0</td>\n",
+ " <td>12272.0</td>\n",
+ " <td>11305.0</td>\n",
+ " <td>13060.0</td>\n",
+ " <td>10325.0</td>\n",
+ " <td>11681.4</td>\n",
" </tr>\n",
" <tr>\n",
" <td>15</td>\n",
- " <td>18516.0</td>\n",
- " <td>10520.0</td>\n",
- " <td>10291.0</td>\n",
- " <td>12301.0</td>\n",
- " <td>8493.0</td>\n",
- " <td>11417.0</td>\n",
- " <td>10089</td>\n",
+ " <td>20929.0</td>\n",
+ " <td>11661.0</td>\n",
+ " <td>13843.0</td>\n",
+ " <td>9761.0</td>\n",
+ " <td>12757.0</td>\n",
+ " <td>11575.0</td>\n",
+ " <td>11919.4</td>\n",
" </tr>\n",
" <tr>\n",
" <td>16</td>\n",
- " <td>22351.0</td>\n",
- " <td>10497.0</td>\n",
- " <td>9025.0</td>\n",
- " <td>11223.0</td>\n",
- " <td>9644.0</td>\n",
- " <td>10925.0</td>\n",
- " <td>11639</td>\n",
+ " <td>24691.0</td>\n",
+ " <td>10243.0</td>\n",
+ " <td>12639.0</td>\n",
+ " <td>11000.0</td>\n",
+ " <td>12310.0</td>\n",
+ " <td>13061.0</td>\n",
+ " <td>11850.6</td>\n",
" </tr>\n",
" <tr>\n",
" <td>17</td>\n",
- " <td>21997.0</td>\n",
- " <td>10458.0</td>\n",
- " <td>10059.0</td>\n",
- " <td>10306.0</td>\n",
- " <td>10908.0</td>\n",
- " <td>10413.0</td>\n",
- " <td>10599</td>\n",
+ " <td>24303.0</td>\n",
+ " <td>11452.0</td>\n",
+ " <td>11596.0</td>\n",
+ " <td>12356.0</td>\n",
+ " <td>11795.0</td>\n",
+ " <td>12023.0</td>\n",
+ " <td>11844.4</td>\n",
" </tr>\n",
" <tr>\n",
" <td>18</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11207.0</td>\n",
- " <td>10153.0</td>\n",
- " <td>9064.0</td>\n",
- " <td>9137.0</td>\n",
- " <td>10134</td>\n",
+ " <td>20059.0</td>\n",
+ " <td>12695.0</td>\n",
+ " <td>11538.0</td>\n",
+ " <td>10372.0</td>\n",
+ " <td>10401.0</td>\n",
+ " <td>11586.0</td>\n",
+ " <td>11318.4</td>\n",
" </tr>\n",
" <tr>\n",
" <td>19</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9055.0</td>\n",
- " <td>8624.0</td>\n",
- " <td>10693.0</td>\n",
- " <td>10637.0</td>\n",
- " <td>8862</td>\n",
+ " <td>10361.0</td>\n",
+ " <td>9821.0</td>\n",
+ " <td>12114.0</td>\n",
+ " <td>12002.0</td>\n",
+ " <td>10138.0</td>\n",
+ " <td>10887.2</td>\n",
" </tr>\n",
" <tr>\n",
" <td>20</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10272.0</td>\n",
- " <td>10141.0</td>\n",
- " <td>10288.0</td>\n",
- " <td>9953.0</td>\n",
- " <td>10290</td>\n",
+ " <td>11717.0</td>\n",
+ " <td>11386.0</td>\n",
+ " <td>11718.0</td>\n",
+ " <td>11222.0</td>\n",
+ " <td>11692.0</td>\n",
+ " <td>11547.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>21</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10284.0</td>\n",
- " <td>9636.0</td>\n",
- " <td>10040.0</td>\n",
- " <td>9739.0</td>\n",
- " <td>10005</td>\n",
+ " <td>11653.0</td>\n",
+ " <td>10974.0</td>\n",
+ " <td>11431.0</td>\n",
+ " <td>11013.0</td>\n",
+ " <td>11334.0</td>\n",
+ " <td>11281.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>22</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8260.0</td>\n",
- " <td>8147.0</td>\n",
- " <td>8332.0</td>\n",
- " <td>7909.0</td>\n",
- " <td>8213</td>\n",
+ " <td>9534.0</td>\n",
+ " <td>9397.0</td>\n",
+ " <td>9603.0</td>\n",
+ " <td>9192.0</td>\n",
+ " <td>9514.0</td>\n",
+ " <td>9448.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>23</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10140.0</td>\n",
- " <td>9950.0</td>\n",
- " <td>9766.0</td>\n",
- " <td>9873.0</td>\n",
- " <td>10157</td>\n",
+ " <td>11461.0</td>\n",
+ " <td>11259.0</td>\n",
+ " <td>11134.0</td>\n",
+ " <td>11171.0</td>\n",
+ " <td>11603.0</td>\n",
+ " <td>11325.6</td>\n",
" </tr>\n",
" <tr>\n",
" <td>24</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9445.0</td>\n",
- " <td>9343.0</td>\n",
- " <td>9367.0</td>\n",
- " <td>9386.0</td>\n",
- " <td>9548</td>\n",
+ " <td>10754.0</td>\n",
+ " <td>10535.0</td>\n",
+ " <td>10698.0</td>\n",
+ " <td>10673.0</td>\n",
+ " <td>10858.0</td>\n",
+ " <td>10703.6</td>\n",
" </tr>\n",
" <tr>\n",
" <td>25</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9458.0</td>\n",
- " <td>9256.0</td>\n",
- " <td>9627.0</td>\n",
- " <td>9365.0</td>\n",
- " <td>9312</td>\n",
+ " <td>10807.0</td>\n",
+ " <td>10514.0</td>\n",
+ " <td>10930.0</td>\n",
+ " <td>10611.0</td>\n",
+ " <td>10629.0</td>\n",
+ " <td>10698.2</td>\n",
" </tr>\n",
" <tr>\n",
" <td>26</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9511.0</td>\n",
- " <td>9212.0</td>\n",
- " <td>9334.0</td>\n",
- " <td>9228.0</td>\n",
- " <td>9190</td>\n",
+ " <td>10824.0</td>\n",
+ " <td>10529.0</td>\n",
+ " <td>10624.0</td>\n",
+ " <td>10526.0</td>\n",
+ " <td>10525.0</td>\n",
+ " <td>10605.6</td>\n",
" </tr>\n",
" <tr>\n",
" <td>27</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9062.0</td>\n",
- " <td>9258.0</td>\n",
- " <td>9263.0</td>\n",
- " <td>9138.0</td>\n",
- " <td>9205</td>\n",
+ " <td>10328.0</td>\n",
+ " <td>10565.0</td>\n",
+ " <td>10565.0</td>\n",
+ " <td>10412.0</td>\n",
+ " <td>10545.0</td>\n",
+ " <td>10483.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>28</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9179.0</td>\n",
- " <td>9293.0</td>\n",
- " <td>9376.0</td>\n",
- " <td>9388.0</td>\n",
- " <td>9015</td>\n",
+ " <td>10512.0</td>\n",
+ " <td>10467.0</td>\n",
+ " <td>10643.0</td>\n",
+ " <td>10647.0</td>\n",
+ " <td>10278.0</td>\n",
+ " <td>10509.4</td>\n",
" </tr>\n",
" <tr>\n",
" <td>29</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9080.0</td>\n",
- " <td>9127.0</td>\n",
- " <td>9113.0</td>\n",
- " <td>9350.0</td>\n",
- " <td>8802</td>\n",
+ " <td>10324.0</td>\n",
+ " <td>10353.0</td>\n",
+ " <td>10426.0</td>\n",
+ " <td>10672.0</td>\n",
+ " <td>10028.0</td>\n",
+ " <td>10360.6</td>\n",
" </tr>\n",
" <tr>\n",
" <td>30</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9112.0</td>\n",
- " <td>9141.0</td>\n",
- " <td>8882.0</td>\n",
- " <td>9335.0</td>\n",
- " <td>8791</td>\n",
+ " <td>10422.0</td>\n",
+ " <td>10356.0</td>\n",
+ " <td>10147.0</td>\n",
+ " <td>10612.0</td>\n",
+ " <td>10021.0</td>\n",
+ " <td>10311.6</td>\n",
" </tr>\n",
" <tr>\n",
" <td>31</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9271.0</td>\n",
- " <td>9161.0</td>\n",
- " <td>8941.0</td>\n",
- " <td>9182.0</td>\n",
- " <td>8617</td>\n",
+ " <td>10564.0</td>\n",
+ " <td>10408.0</td>\n",
+ " <td>10239.0</td>\n",
+ " <td>10433.0</td>\n",
+ " <td>9893.0</td>\n",
+ " <td>10307.4</td>\n",
" </tr>\n",
" <tr>\n",
" <td>32</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9122.0</td>\n",
- " <td>9319.0</td>\n",
- " <td>9038.0</td>\n",
- " <td>9172.0</td>\n",
- " <td>8862</td>\n",
+ " <td>10406.0</td>\n",
+ " <td>10542.0</td>\n",
+ " <td>10278.0</td>\n",
+ " <td>10439.0</td>\n",
+ " <td>10153.0</td>\n",
+ " <td>10363.6</td>\n",
" </tr>\n",
" <tr>\n",
" <td>33</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9093.0</td>\n",
- " <td>8830.0</td>\n",
- " <td>9299.0</td>\n",
- " <td>9070.0</td>\n",
- " <td>9148</td>\n",
+ " <td>10405.0</td>\n",
+ " <td>10091.0</td>\n",
+ " <td>10569.0</td>\n",
+ " <td>10312.0</td>\n",
+ " <td>10352.0</td>\n",
+ " <td>10345.8</td>\n",
" </tr>\n",
" <tr>\n",
" <td>34</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8994.0</td>\n",
- " <td>8978.0</td>\n",
- " <td>9382.0</td>\n",
- " <td>9319.0</td>\n",
- " <td>9121</td>\n",
+ " <td>10279.0</td>\n",
+ " <td>10199.0</td>\n",
+ " <td>10698.0</td>\n",
+ " <td>10637.0</td>\n",
+ " <td>10354.0</td>\n",
+ " <td>10433.4</td>\n",
" </tr>\n",
" <tr>\n",
" <td>35</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8242.0</td>\n",
- " <td>7865.0</td>\n",
- " <td>8149.0</td>\n",
- " <td>7923.0</td>\n",
- " <td>9026</td>\n",
+ " <td>9478.0</td>\n",
+ " <td>9046.0</td>\n",
+ " <td>9372.0</td>\n",
+ " <td>9226.0</td>\n",
+ " <td>10239.0</td>\n",
+ " <td>9472.2</td>\n",
" </tr>\n",
" <tr>\n",
" <td>36</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9695.0</td>\n",
- " <td>9445.0</td>\n",
- " <td>9497.0</td>\n",
- " <td>9399.0</td>\n",
- " <td>7878</td>\n",
+ " <td>10918.0</td>\n",
+ " <td>10680.0</td>\n",
+ " <td>10781.0</td>\n",
+ " <td>10681.0</td>\n",
+ " <td>9092.0</td>\n",
+ " <td>10430.4</td>\n",
" </tr>\n",
" <tr>\n",
" <td>37</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9513.0</td>\n",
- " <td>9191.0</td>\n",
- " <td>9454.0</td>\n",
- " <td>9124.0</td>\n",
- " <td>9258</td>\n",
+ " <td>10892.0</td>\n",
+ " <td>10496.0</td>\n",
+ " <td>10692.0</td>\n",
+ " <td>10401.0</td>\n",
+ " <td>10573.0</td>\n",
+ " <td>10610.8</td>\n",
" </tr>\n",
" <tr>\n",
" <td>38</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9440.0</td>\n",
- " <td>9305.0</td>\n",
- " <td>9534.0</td>\n",
- " <td>8945.0</td>\n",
- " <td>9097</td>\n",
+ " <td>10792.0</td>\n",
+ " <td>10498.0</td>\n",
+ " <td>10875.0</td>\n",
+ " <td>10183.0</td>\n",
+ " <td>10381.0</td>\n",
+ " <td>10545.8</td>\n",
" </tr>\n",
" <tr>\n",
" <td>39</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9517.0</td>\n",
- " <td>9150.0</td>\n",
- " <td>9689.0</td>\n",
- " <td>8994.0</td>\n",
- " <td>9529</td>\n",
+ " <td>10954.0</td>\n",
+ " <td>10463.0</td>\n",
+ " <td>11027.0</td>\n",
+ " <td>10278.0</td>\n",
+ " <td>10826.0</td>\n",
+ " <td>10709.6</td>\n",
" </tr>\n",
" <tr>\n",
" <td>40</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9799.0</td>\n",
- " <td>9503.0</td>\n",
- " <td>9778.0</td>\n",
- " <td>9291.0</td>\n",
- " <td>9410</td>\n",
+ " <td>11113.0</td>\n",
+ " <td>10869.0</td>\n",
+ " <td>11101.0</td>\n",
+ " <td>10671.0</td>\n",
+ " <td>10700.0</td>\n",
+ " <td>10890.8</td>\n",
" </tr>\n",
" <tr>\n",
" <td>41</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9973.0</td>\n",
- " <td>9649.0</td>\n",
- " <td>9940.0</td>\n",
- " <td>9719.0</td>\n",
- " <td>9776</td>\n",
+ " <td>11403.0</td>\n",
+ " <td>11048.0</td>\n",
+ " <td>11357.0</td>\n",
+ " <td>11016.0</td>\n",
+ " <td>11108.0</td>\n",
+ " <td>11186.4</td>\n",
" </tr>\n",
" <tr>\n",
" <td>42</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10156.0</td>\n",
- " <td>9864.0</td>\n",
- " <td>10031.0</td>\n",
- " <td>9768.0</td>\n",
- " <td>9511</td>\n",
+ " <td>11625.0</td>\n",
+ " <td>11177.0</td>\n",
+ " <td>11389.0</td>\n",
+ " <td>11134.0</td>\n",
+ " <td>10799.0</td>\n",
+ " <td>11224.8</td>\n",
" </tr>\n",
" <tr>\n",
" <td>43</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10021.0</td>\n",
- " <td>9603.0</td>\n",
- " <td>9739.0</td>\n",
- " <td>9724.0</td>\n",
- " <td>9711</td>\n",
+ " <td>11415.0</td>\n",
+ " <td>10885.0</td>\n",
+ " <td>11152.0</td>\n",
+ " <td>11048.0</td>\n",
+ " <td>10966.0</td>\n",
+ " <td>11093.2</td>\n",
" </tr>\n",
" <tr>\n",
" <td>44</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10164.0</td>\n",
- " <td>9529.0</td>\n",
- " <td>9984.0</td>\n",
- " <td>10152.0</td>\n",
- " <td>9618</td>\n",
+ " <td>11567.0</td>\n",
+ " <td>10866.0</td>\n",
+ " <td>11366.0</td>\n",
+ " <td>11463.0</td>\n",
+ " <td>11026.0</td>\n",
+ " <td>11257.6</td>\n",
" </tr>\n",
" <tr>\n",
" <td>45</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10697.0</td>\n",
- " <td>10151.0</td>\n",
- " <td>10346.0</td>\n",
- " <td>10470.0</td>\n",
- " <td>9994</td>\n",
+ " <td>12177.0</td>\n",
+ " <td>11588.0</td>\n",
+ " <td>11767.0</td>\n",
+ " <td>11803.0</td>\n",
+ " <td>11312.0</td>\n",
+ " <td>11729.4</td>\n",
" </tr>\n",
" <tr>\n",
" <td>46</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10650.0</td>\n",
- " <td>10193.0</td>\n",
- " <td>10275.0</td>\n",
- " <td>10694.0</td>\n",
- " <td>9938</td>\n",
+ " <td>12146.0</td>\n",
+ " <td>11552.0</td>\n",
+ " <td>11773.0</td>\n",
+ " <td>12209.0</td>\n",
+ " <td>11338.0</td>\n",
+ " <td>11803.6</td>\n",
" </tr>\n",
" <tr>\n",
" <td>47</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10882.0</td>\n",
- " <td>9957.0</td>\n",
- " <td>10621.0</td>\n",
- " <td>10603.0</td>\n",
- " <td>9830</td>\n",
+ " <td>12472.0</td>\n",
+ " <td>11289.0</td>\n",
+ " <td>12102.0</td>\n",
+ " <td>12064.0</td>\n",
+ " <td>11178.0</td>\n",
+ " <td>11821.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>48</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10958.0</td>\n",
- " <td>10033.0</td>\n",
- " <td>10538.0</td>\n",
- " <td>10439.0</td>\n",
- " <td>9822</td>\n",
+ " <td>12455.0</td>\n",
+ " <td>11392.0</td>\n",
+ " <td>12046.0</td>\n",
+ " <td>11901.0</td>\n",
+ " <td>11216.0</td>\n",
+ " <td>11802.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>49</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10816.0</td>\n",
- " <td>10287.0</td>\n",
- " <td>10781.0</td>\n",
- " <td>11223.0</td>\n",
- " <td>10365</td>\n",
+ " <td>12275.0</td>\n",
+ " <td>11687.0</td>\n",
+ " <td>12342.0</td>\n",
+ " <td>12733.0</td>\n",
+ " <td>11748.0</td>\n",
+ " <td>12157.0</td>\n",
" </tr>\n",
" <tr>\n",
" <td>50</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11188.0</td>\n",
- " <td>10550.0</td>\n",
- " <td>11217.0</td>\n",
- " <td>10533.0</td>\n",
- " <td>10269</td>\n",
+ " <td>12853.0</td>\n",
+ " <td>12078.0</td>\n",
+ " <td>12924.0</td>\n",
+ " <td>12076.0</td>\n",
+ " <td>11713.0</td>\n",
+ " <td>12328.8</td>\n",
" </tr>\n",
" <tr>\n",
" <td>51</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11926.0</td>\n",
- " <td>11116.0</td>\n",
- " <td>12517.0</td>\n",
- " <td>11493.0</td>\n",
- " <td>10689</td>\n",
+ " <td>13566.0</td>\n",
+ " <td>12649.0</td>\n",
+ " <td>14308.0</td>\n",
+ " <td>13137.0</td>\n",
+ " <td>12136.0</td>\n",
+ " <td>13159.2</td>\n",
" </tr>\n",
" <tr>\n",
" <td>52</td>\n",
" <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>7533.0</td>\n",
- " <td>7131.0</td>\n",
- " <td>8487.0</td>\n",
- " <td>8003.0</td>\n",
- " <td>8630</td>\n",
+ " <td>8727.0</td>\n",
+ " <td>8384.0</td>\n",
+ " <td>9904.0</td>\n",
+ " <td>9335.0</td>\n",
+ " <td>9806.0</td>\n",
+ " <td>9231.2</td>\n",
" </tr>\n",
" <tr>\n",
" <td>53</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>7524</td>\n",
+ " <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
- " total_2020 total_previous total_2019 total_2018 total_2017 \\\n",
- "1 12254.0 12175.0 10955.0 12723.0 11991.0 \n",
- "2 14058.0 13822.0 12609.0 15050.0 13715.0 \n",
- "3 12990.0 13216.0 11860.0 14256.0 13610.0 \n",
- "4 11856.0 12760.0 11740.0 13935.0 12877.0 \n",
- "5 11612.0 12206.0 11297.0 13285.0 12485.0 \n",
- "6 10986.0 11925.0 11660.0 12495.0 12269.0 \n",
- "7 10944.0 11627.0 11824.0 12246.0 11644.0 \n",
- "8 10841.0 11548.0 11295.0 12142.0 11794.0 \n",
- "9 10816.0 11183.0 11044.0 10854.0 11248.0 \n",
- "10 10895.0 11498.0 10898.0 12997.0 11077.0 \n",
- "11 11019.0 11205.0 10567.0 12788.0 10697.0 \n",
- "12 10645.0 10573.0 10402.0 11913.0 10325.0 \n",
- "13 11141.0 10130.0 9867.0 9941.0 10027.0 \n",
- "14 16387.0 10305.0 10126.0 10794.0 9939.0 \n",
- "15 18516.0 10520.0 10291.0 12301.0 8493.0 \n",
- "16 22351.0 10497.0 9025.0 11223.0 9644.0 \n",
- "17 21997.0 10458.0 10059.0 10306.0 10908.0 \n",
- "18 NaN NaN 11207.0 10153.0 9064.0 \n",
- "19 NaN NaN 9055.0 8624.0 10693.0 \n",
- "20 NaN NaN 10272.0 10141.0 10288.0 \n",
- "21 NaN NaN 10284.0 9636.0 10040.0 \n",
- "22 NaN NaN 8260.0 8147.0 8332.0 \n",
- "23 NaN NaN 10140.0 9950.0 9766.0 \n",
- "24 NaN NaN 9445.0 9343.0 9367.0 \n",
- "25 NaN NaN 9458.0 9256.0 9627.0 \n",
- "26 NaN NaN 9511.0 9212.0 9334.0 \n",
- "27 NaN NaN 9062.0 9258.0 9263.0 \n",
- "28 NaN NaN 9179.0 9293.0 9376.0 \n",
- "29 NaN NaN 9080.0 9127.0 9113.0 \n",
- "30 NaN NaN 9112.0 9141.0 8882.0 \n",
- "31 NaN NaN 9271.0 9161.0 8941.0 \n",
- "32 NaN NaN 9122.0 9319.0 9038.0 \n",
- "33 NaN NaN 9093.0 8830.0 9299.0 \n",
- "34 NaN NaN 8994.0 8978.0 9382.0 \n",
- "35 NaN NaN 8242.0 7865.0 8149.0 \n",
- "36 NaN NaN 9695.0 9445.0 9497.0 \n",
- "37 NaN NaN 9513.0 9191.0 9454.0 \n",
- "38 NaN NaN 9440.0 9305.0 9534.0 \n",
- "39 NaN NaN 9517.0 9150.0 9689.0 \n",
- "40 NaN NaN 9799.0 9503.0 9778.0 \n",
- "41 NaN NaN 9973.0 9649.0 9940.0 \n",
- "42 NaN NaN 10156.0 9864.0 10031.0 \n",
- "43 NaN NaN 10021.0 9603.0 9739.0 \n",
- "44 NaN NaN 10164.0 9529.0 9984.0 \n",
- "45 NaN NaN 10697.0 10151.0 10346.0 \n",
- "46 NaN NaN 10650.0 10193.0 10275.0 \n",
- "47 NaN NaN 10882.0 9957.0 10621.0 \n",
- "48 NaN NaN 10958.0 10033.0 10538.0 \n",
- "49 NaN NaN 10816.0 10287.0 10781.0 \n",
- "50 NaN NaN 11188.0 10550.0 11217.0 \n",
- "51 NaN NaN 11926.0 11116.0 12517.0 \n",
- "52 NaN NaN 7533.0 7131.0 8487.0 \n",
- "53 NaN NaN NaN NaN NaN \n",
+ " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015 \\\n",
+ "1 13768.0 12424.0 14701.0 13612.0 14863.0 13751.0 \n",
+ "2 16020.0 14487.0 17430.0 15528.0 13154.0 18318.0 \n",
+ "3 14723.0 13545.0 16355.0 15231.0 13060.0 16738.0 \n",
+ "4 13429.0 13283.0 15971.0 14461.0 12859.0 15712.0 \n",
+ "5 13123.0 12799.0 15087.0 14188.0 12571.0 14560.0 \n",
+ "6 12534.0 13222.0 14111.0 13805.0 12697.0 13730.0 \n",
+ "7 12412.0 13347.0 13925.0 13212.0 12016.0 13510.0 \n",
+ "8 12300.0 12877.0 13753.0 13330.0 12718.0 13071.0 \n",
+ "9 12334.0 12479.0 12190.0 12819.0 12733.0 13181.0 \n",
+ "10 12415.0 12396.0 14859.0 12580.0 12493.0 13007.0 \n",
+ "11 12499.0 12018.0 14367.0 12089.0 12489.0 12475.0 \n",
+ "12 12112.0 11797.0 13397.0 11833.0 10983.0 12027.0 \n",
+ "13 12507.0 11260.0 11310.0 11453.0 11738.0 11987.0 \n",
+ "14 18565.0 11445.0 12272.0 11305.0 13060.0 10325.0 \n",
+ "15 20929.0 11661.0 13843.0 9761.0 12757.0 11575.0 \n",
+ "16 24691.0 10243.0 12639.0 11000.0 12310.0 13061.0 \n",
+ "17 24303.0 11452.0 11596.0 12356.0 11795.0 12023.0 \n",
+ "18 20059.0 12695.0 11538.0 10372.0 10401.0 11586.0 \n",
+ "19 NaN 10361.0 9821.0 12114.0 12002.0 10138.0 \n",
+ "20 NaN 11717.0 11386.0 11718.0 11222.0 11692.0 \n",
+ "21 NaN 11653.0 10974.0 11431.0 11013.0 11334.0 \n",
+ "22 NaN 9534.0 9397.0 9603.0 9192.0 9514.0 \n",
+ "23 NaN 11461.0 11259.0 11134.0 11171.0 11603.0 \n",
+ "24 NaN 10754.0 10535.0 10698.0 10673.0 10858.0 \n",
+ "25 NaN 10807.0 10514.0 10930.0 10611.0 10629.0 \n",
+ "26 NaN 10824.0 10529.0 10624.0 10526.0 10525.0 \n",
+ "27 NaN 10328.0 10565.0 10565.0 10412.0 10545.0 \n",
+ "28 NaN 10512.0 10467.0 10643.0 10647.0 10278.0 \n",
+ "29 NaN 10324.0 10353.0 10426.0 10672.0 10028.0 \n",
+ "30 NaN 10422.0 10356.0 10147.0 10612.0 10021.0 \n",
+ "31 NaN 10564.0 10408.0 10239.0 10433.0 9893.0 \n",
+ "32 NaN 10406.0 10542.0 10278.0 10439.0 10153.0 \n",
+ "33 NaN 10405.0 10091.0 10569.0 10312.0 10352.0 \n",
+ "34 NaN 10279.0 10199.0 10698.0 10637.0 10354.0 \n",
+ "35 NaN 9478.0 9046.0 9372.0 9226.0 10239.0 \n",
+ "36 NaN 10918.0 10680.0 10781.0 10681.0 9092.0 \n",
+ "37 NaN 10892.0 10496.0 10692.0 10401.0 10573.0 \n",
+ "38 NaN 10792.0 10498.0 10875.0 10183.0 10381.0 \n",
+ "39 NaN 10954.0 10463.0 11027.0 10278.0 10826.0 \n",
+ "40 NaN 11113.0 10869.0 11101.0 10671.0 10700.0 \n",
+ "41 NaN 11403.0 11048.0 11357.0 11016.0 11108.0 \n",
+ "42 NaN 11625.0 11177.0 11389.0 11134.0 10799.0 \n",
+ "43 NaN 11415.0 10885.0 11152.0 11048.0 10966.0 \n",
+ "44 NaN 11567.0 10866.0 11366.0 11463.0 11026.0 \n",
+ "45 NaN 12177.0 11588.0 11767.0 11803.0 11312.0 \n",
+ "46 NaN 12146.0 11552.0 11773.0 12209.0 11338.0 \n",
+ "47 NaN 12472.0 11289.0 12102.0 12064.0 11178.0 \n",
+ "48 NaN 12455.0 11392.0 12046.0 11901.0 11216.0 \n",
+ "49 NaN 12275.0 11687.0 12342.0 12733.0 11748.0 \n",
+ "50 NaN 12853.0 12078.0 12924.0 12076.0 11713.0 \n",
+ "51 NaN 13566.0 12649.0 14308.0 13137.0 12136.0 \n",
+ "52 NaN 8727.0 8384.0 9904.0 9335.0 9806.0 \n",
+ "53 NaN NaN NaN NaN NaN NaN \n",
"\n",
- " total_2016 total_2015 \n",
- "1 13045.0 12286 \n",
- "2 11501.0 16237 \n",
- "3 11473.0 14866 \n",
- "4 11317.0 13934 \n",
- "5 11052.0 12900 \n",
- "6 11170.0 12039 \n",
- "7 10590.0 11822 \n",
- "8 11056.0 11434 \n",
- "9 11285.0 11472 \n",
- "10 11010.0 11469 \n",
- "11 11022.0 10951 \n",
- "12 9635.0 10568 \n",
- "13 10286.0 10493 \n",
- "14 11599.0 9062 \n",
- "15 11417.0 10089 \n",
- "16 10925.0 11639 \n",
- "17 10413.0 10599 \n",
- "18 9137.0 10134 \n",
- "19 10637.0 8862 \n",
- "20 9953.0 10290 \n",
- "21 9739.0 10005 \n",
- "22 7909.0 8213 \n",
- "23 9873.0 10157 \n",
- "24 9386.0 9548 \n",
- "25 9365.0 9312 \n",
- "26 9228.0 9190 \n",
- "27 9138.0 9205 \n",
- "28 9388.0 9015 \n",
- "29 9350.0 8802 \n",
- "30 9335.0 8791 \n",
- "31 9182.0 8617 \n",
- "32 9172.0 8862 \n",
- "33 9070.0 9148 \n",
- "34 9319.0 9121 \n",
- "35 7923.0 9026 \n",
- "36 9399.0 7878 \n",
- "37 9124.0 9258 \n",
- "38 8945.0 9097 \n",
- "39 8994.0 9529 \n",
- "40 9291.0 9410 \n",
- "41 9719.0 9776 \n",
- "42 9768.0 9511 \n",
- "43 9724.0 9711 \n",
- "44 10152.0 9618 \n",
- "45 10470.0 9994 \n",
- "46 10694.0 9938 \n",
- "47 10603.0 9830 \n",
- "48 10439.0 9822 \n",
- "49 11223.0 10365 \n",
- "50 10533.0 10269 \n",
- "51 11493.0 10689 \n",
- "52 8003.0 8630 \n",
- "53 NaN 7524 "
+ " previous_mean \n",
+ "1 13870.2 \n",
+ "2 15783.4 \n",
+ "3 14985.8 \n",
+ "4 14457.2 \n",
+ "5 13841.0 \n",
+ "6 13513.0 \n",
+ "7 13202.0 \n",
+ "8 13149.8 \n",
+ "9 12680.4 \n",
+ "10 13067.0 \n",
+ "11 12687.6 \n",
+ "12 12007.4 \n",
+ "13 11549.6 \n",
+ "14 11681.4 \n",
+ "15 11919.4 \n",
+ "16 11850.6 \n",
+ "17 11844.4 \n",
+ "18 11318.4 \n",
+ "19 10887.2 \n",
+ "20 11547.0 \n",
+ "21 11281.0 \n",
+ "22 9448.0 \n",
+ "23 11325.6 \n",
+ "24 10703.6 \n",
+ "25 10698.2 \n",
+ "26 10605.6 \n",
+ "27 10483.0 \n",
+ "28 10509.4 \n",
+ "29 10360.6 \n",
+ "30 10311.6 \n",
+ "31 10307.4 \n",
+ "32 10363.6 \n",
+ "33 10345.8 \n",
+ "34 10433.4 \n",
+ "35 9472.2 \n",
+ "36 10430.4 \n",
+ "37 10610.8 \n",
+ "38 10545.8 \n",
+ "39 10709.6 \n",
+ "40 10890.8 \n",
+ "41 11186.4 \n",
+ "42 11224.8 \n",
+ "43 11093.2 \n",
+ "44 11257.6 \n",
+ "45 11729.4 \n",
+ "46 11803.6 \n",
+ "47 11821.0 \n",
+ "48 11802.0 \n",
+ "49 12157.0 \n",
+ "50 12328.8 \n",
+ "51 13159.2 \n",
+ "52 9231.2 \n",
+ "53 NaN "
]
},
- "execution_count": 121,
+ "execution_count": 187,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "deaths_headlines = deaths_headlines.merge(dh19['total_2019'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines = deaths_headlines.merge(dh18['total_2018'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines = deaths_headlines.merge(dh17['total_2017'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines = deaths_headlines.merge(dh16['total_2016'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines = deaths_headlines.merge(dh15['total_2015'], how='outer', left_index=True, right_index=True)\n",
+ "deaths_headlines['previous_mean'] = deaths_headlines['total_2019 total_2018 total_2017 total_2016 total_2015'.split()].apply(np.mean, axis=1)\n",
"deaths_headlines"
]
},
{
"cell_type": "code",
- "execution_count": 162,
+ "execution_count": 188,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7fc74803e650>"
+ "<matplotlib.axes._subplots.AxesSubplot at 0x7f98b809d1d0>"
]
},
- "execution_count": 162,
+ "execution_count": 188,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 720x576 with 1 Axes>"
]
},
{
"cell_type": "code",
- "execution_count": 164,
+ "execution_count": 190,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 720x720 with 1 Axes>"
]
" np.flip(\n",
" np.arange(len(deaths_headlines))/float(len(deaths_headlines))*2.*np.pi),\n",
" 14)\n",
- "l19, = ax.plot(theta, deaths_headlines['total_2019'], color=\"grey\", label=\"2019\")\n",
- "l18, = ax.plot(theta, deaths_headlines['total_2018'], color=\"grey\", label=\"2018\")\n",
- "l17, = ax.plot(theta, deaths_headlines['total_2017'], color=\"grey\", label=\"2017\")\n",
- "l16, = ax.plot(theta, deaths_headlines['total_2016'], color=\"grey\", label=\"2016\")\n",
- "l15, = ax.plot(theta, deaths_headlines['total_2015'], color=\"grey\", label=\"2015\")\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, deaths_headlines['total_2015'], color=\"#e47d7d\", label=\"2015\") # 0\n",
+ "l16, = ax.plot(theta, deaths_headlines['total_2016'], color=\"#afc169\", label=\"2016\") # 72 , d0e47d\n",
+ "l17, = ax.plot(theta, deaths_headlines['total_2017'], color=\"#7de4a6\", label=\"2017\") # 144\n",
+ "l18, = ax.plot(theta, deaths_headlines['total_2018'], color=\"#7da6e4\", label=\"2018\") # 216\n",
+ "l19, = ax.plot(theta, deaths_headlines['total_2019'], color=\"#d07de4\", label=\"2019\") # 288\n",
+ "\n",
+ "lmean, = ax.plot(theta, deaths_headlines['previous_mean'], color=\"black\", linestyle='dashed', label=\"mean\")\n",
+ "\n",
"l20, = ax.plot(theta, deaths_headlines['total_2020'], color=\"red\", label=\"2020\")\n",
"\n",
"# deaths_headlines.total_2019.plot(ax=ax)\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]]\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.index)\n",
"plt.legend()\n",
- "plt.title(\"Deaths by week over years\")\n",
+ "plt.title(\"Deaths by week over years, all UK\")\n",
"plt.savefig('deaths-radar.png')\n",
"plt.show()"
]
},
+ {
+ "cell_type": "code",
+ "execution_count": 193,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "50994.8"
+ ]
+ },
+ "execution_count": 193,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "(deaths_headlines.loc[12:].total_2020 - deaths_headlines.loc[12:].previous_mean).sum()"
+ ]
+ },
{
"cell_type": "code",
"execution_count": null,
}
],
"metadata": {
+ "jupytext": {
+ "formats": "ipynb,md"
+ },
"kernelspec": {
"display_name": "Python 3",
"language": "python",
projects / covid19.git / blobdiff