{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7090d448-336a-4cdd-95c9-7d743304d712",
   "metadata": {},
   "source": [
    "# Visualizing corona case data with altair\n",
    "\n",
    "Norway has stopped tracking and reporting data about the ongoing covid pandemic, but we can view data from 2020-2022."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5ed80523-0e3b-4f3b-bb1b-b9109bac0583",
   "metadata": {},
   "outputs": [],
   "source": [
    "import io\n",
    "from functools import lru_cache\n",
    "\n",
    "import altair as alt\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import requests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1325b8a7-1525-44ad-8ba8-82d3520a113c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading https://raw.githubusercontent.com/thohan88/covid19-nor-data/HEAD/data/01_infected/msis/municipality_and_district.csv\n",
      "Downloaded 31065kB\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\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>date</th>\n",
       "      <th>date_time</th>\n",
       "      <th>kommune_bydel_no</th>\n",
       "      <th>kommune_bydel_name</th>\n",
       "      <th>bydel_no</th>\n",
       "      <th>bydel_name</th>\n",
       "      <th>kommune_no</th>\n",
       "      <th>kommune_name</th>\n",
       "      <th>fylke_no</th>\n",
       "      <th>fylke_name</th>\n",
       "      <th>population</th>\n",
       "      <th>cases</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>2020-03-26T04:00:00Z</td>\n",
       "      <td>30101</td>\n",
       "      <td>Gamle Oslo</td>\n",
       "      <td>30101.0</td>\n",
       "      <td>Gamle Oslo</td>\n",
       "      <td>301</td>\n",
       "      <td>Oslo</td>\n",
       "      <td>3</td>\n",
       "      <td>Oslo</td>\n",
       "      <td>58671</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>2020-03-26T04:00:00Z</td>\n",
       "      <td>30102</td>\n",
       "      <td>Grünerløkka</td>\n",
       "      <td>30102.0</td>\n",
       "      <td>Grünerløkka</td>\n",
       "      <td>301</td>\n",
       "      <td>Oslo</td>\n",
       "      <td>3</td>\n",
       "      <td>Oslo</td>\n",
       "      <td>62423</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>2020-03-26T04:00:00Z</td>\n",
       "      <td>30103</td>\n",
       "      <td>Sagene</td>\n",
       "      <td>30103.0</td>\n",
       "      <td>Sagene</td>\n",
       "      <td>301</td>\n",
       "      <td>Oslo</td>\n",
       "      <td>3</td>\n",
       "      <td>Oslo</td>\n",
       "      <td>45089</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>2020-03-26T04:00:00Z</td>\n",
       "      <td>30104</td>\n",
       "      <td>St. Hanshaugen</td>\n",
       "      <td>30104.0</td>\n",
       "      <td>St. Hanshaugen</td>\n",
       "      <td>301</td>\n",
       "      <td>Oslo</td>\n",
       "      <td>3</td>\n",
       "      <td>Oslo</td>\n",
       "      <td>38945</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>2020-03-26T04:00:00Z</td>\n",
       "      <td>30105</td>\n",
       "      <td>Frogner</td>\n",
       "      <td>30105.0</td>\n",
       "      <td>Frogner</td>\n",
       "      <td>301</td>\n",
       "      <td>Oslo</td>\n",
       "      <td>3</td>\n",
       "      <td>Oslo</td>\n",
       "      <td>59269</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>377250</th>\n",
       "      <td>2022-12-07</td>\n",
       "      <td>2022-12-07T04:00:00Z</td>\n",
       "      <td>5442</td>\n",
       "      <td>Nesseby</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5442</td>\n",
       "      <td>Nesseby</td>\n",
       "      <td>54</td>\n",
       "      <td>Troms og Finnmark</td>\n",
       "      <td>926</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>377251</th>\n",
       "      <td>2022-12-07</td>\n",
       "      <td>2022-12-07T04:00:00Z</td>\n",
       "      <td>5443</td>\n",
       "      <td>Båtsfjord</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5443</td>\n",
       "      <td>Båtsfjord</td>\n",
       "      <td>54</td>\n",
       "      <td>Troms og Finnmark</td>\n",
       "      <td>2221</td>\n",
       "      <td>447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>377252</th>\n",
       "      <td>2022-12-07</td>\n",
       "      <td>2022-12-07T04:00:00Z</td>\n",
       "      <td>5444</td>\n",
       "      <td>Sør-Varanger</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5444</td>\n",
       "      <td>Sør-Varanger</td>\n",
       "      <td>54</td>\n",
       "      <td>Troms og Finnmark</td>\n",
       "      <td>10158</td>\n",
       "      <td>1601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>377253</th>\n",
       "      <td>2022-12-07</td>\n",
       "      <td>2022-12-07T04:00:00Z</td>\n",
       "      <td>9998</td>\n",
       "      <td>Svalbard</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9998</td>\n",
       "      <td>Svalbard</td>\n",
       "      <td>99</td>\n",
       "      <td>Svalbard</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>377254</th>\n",
       "      <td>2022-12-07</td>\n",
       "      <td>2022-12-07T04:00:00Z</td>\n",
       "      <td>9999</td>\n",
       "      <td>Ukjent Kommune</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9999</td>\n",
       "      <td>Ukjent Kommune</td>\n",
       "      <td>99</td>\n",
       "      <td>Ukjent Fylke</td>\n",
       "      <td>0</td>\n",
       "      <td>19722</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>377255 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             date             date_time  kommune_bydel_no kommune_bydel_name   \n",
       "0      2020-03-26  2020-03-26T04:00:00Z             30101         Gamle Oslo  \\\n",
       "1      2020-03-26  2020-03-26T04:00:00Z             30102        Grünerløkka   \n",
       "2      2020-03-26  2020-03-26T04:00:00Z             30103             Sagene   \n",
       "3      2020-03-26  2020-03-26T04:00:00Z             30104     St. Hanshaugen   \n",
       "4      2020-03-26  2020-03-26T04:00:00Z             30105            Frogner   \n",
       "...           ...                   ...               ...                ...   \n",
       "377250 2022-12-07  2022-12-07T04:00:00Z              5442            Nesseby   \n",
       "377251 2022-12-07  2022-12-07T04:00:00Z              5443          Båtsfjord   \n",
       "377252 2022-12-07  2022-12-07T04:00:00Z              5444       Sør-Varanger   \n",
       "377253 2022-12-07  2022-12-07T04:00:00Z              9998           Svalbard   \n",
       "377254 2022-12-07  2022-12-07T04:00:00Z              9999     Ukjent Kommune   \n",
       "\n",
       "        bydel_no      bydel_name  kommune_no    kommune_name  fylke_no   \n",
       "0        30101.0      Gamle Oslo         301            Oslo         3  \\\n",
       "1        30102.0     Grünerløkka         301            Oslo         3   \n",
       "2        30103.0          Sagene         301            Oslo         3   \n",
       "3        30104.0  St. Hanshaugen         301            Oslo         3   \n",
       "4        30105.0         Frogner         301            Oslo         3   \n",
       "...          ...             ...         ...             ...       ...   \n",
       "377250       NaN             NaN        5442         Nesseby        54   \n",
       "377251       NaN             NaN        5443       Båtsfjord        54   \n",
       "377252       NaN             NaN        5444    Sør-Varanger        54   \n",
       "377253       NaN             NaN        9998        Svalbard        99   \n",
       "377254       NaN             NaN        9999  Ukjent Kommune        99   \n",
       "\n",
       "               fylke_name  population  cases  \n",
       "0                    Oslo       58671     67  \n",
       "1                    Oslo       62423     59  \n",
       "2                    Oslo       45089     47  \n",
       "3                    Oslo       38945     33  \n",
       "4                    Oslo       59269     67  \n",
       "...                   ...         ...    ...  \n",
       "377250  Troms og Finnmark         926     88  \n",
       "377251  Troms og Finnmark        2221    447  \n",
       "377252  Troms og Finnmark       10158   1601  \n",
       "377253           Svalbard           0      0  \n",
       "377254       Ukjent Fylke           0  19722  \n",
       "\n",
       "[377255 rows x 12 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_url = \"https://raw.githubusercontent.com/thohan88/covid19-nor-data/HEAD/data\"\n",
    "\n",
    "\n",
    "@lru_cache()\n",
    "def download_dataset(path):\n",
    "    \"\"\"Download a dataset from covid19-nor-data archive\"\"\"\n",
    "    url = f\"{data_url}/{path}\"\n",
    "    print(f\"Downloading {url}\")\n",
    "    r = requests.get(f\"{data_url}/{path}\")\n",
    "    r.raise_for_status()\n",
    "    print(f\"Downloaded {len(r.content) // 1024}kB\")\n",
    "    if path.endswith(\".csv\"):\n",
    "        read = pd.read_csv\n",
    "    elif path.endswith(\".xlsx\"):\n",
    "        read = pd.read_excel\n",
    "    return read(io.BytesIO(r.content), parse_dates=[\"date\"])\n",
    "\n",
    "\n",
    "all_cases = download_dataset(\"01_infected/msis/municipality_and_district.csv\")\n",
    "all_cases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b67e5347-7a65-480c-88fd-0873d653dd5f",
   "metadata": {},
   "outputs": [
    {
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       "      <td>148</td>\n",
       "      <td>307231</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
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       "    <tr>\n",
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       "      <td>1241165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12802</th>\n",
       "      <td>Viken</td>\n",
       "      <td>2022-12-05</td>\n",
       "      <td>393410</td>\n",
       "      <td>1241165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12803</th>\n",
       "      <td>Viken</td>\n",
       "      <td>2022-12-06</td>\n",
       "      <td>393463</td>\n",
       "      <td>1241165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12804</th>\n",
       "      <td>Viken</td>\n",
       "      <td>2022-12-07</td>\n",
       "      <td>393518</td>\n",
       "      <td>1241165</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12805 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      fylke_name       date   cases  population\n",
       "0          Agder 2020-03-26     133      307231\n",
       "1          Agder 2020-03-27     148      307231\n",
       "2          Agder 2020-03-28     159      307231\n",
       "3          Agder 2020-03-29     161      307231\n",
       "4          Agder 2020-03-30     166      307231\n",
       "...          ...        ...     ...         ...\n",
       "12800      Viken 2022-12-03  393395     1241165\n",
       "12801      Viken 2022-12-04  393399     1241165\n",
       "12802      Viken 2022-12-05  393410     1241165\n",
       "12803      Viken 2022-12-06  393463     1241165\n",
       "12804      Viken 2022-12-07  393518     1241165\n",
       "\n",
       "[12805 rows x 4 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# aggregate data by fylke\n",
    "cases = (\n",
    "    all_cases.groupby([\"fylke_name\", \"date\"])[[\"cases\", \"population\"]]\n",
    "    .sum()\n",
    "    .reset_index()\n",
    ").copy()\n",
    "cases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "54dc578e-fb67-4562-9b93-eaa4c92d89f7",
   "metadata": {},
   "outputs": [
    {
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       "    <tr>\n",
       "      <th>12803</th>\n",
       "      <td>Viken</td>\n",
       "      <td>2022-12-06</td>\n",
       "      <td>393463</td>\n",
       "      <td>1241165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12804</th>\n",
       "      <td>Viken</td>\n",
       "      <td>2022-12-07</td>\n",
       "      <td>393518</td>\n",
       "      <td>1241165</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11820 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      fylke_name       date   cases  population\n",
       "0          Agder 2020-03-26     133      307231\n",
       "1          Agder 2020-03-27     148      307231\n",
       "2          Agder 2020-03-28     159      307231\n",
       "3          Agder 2020-03-29     161      307231\n",
       "4          Agder 2020-03-30     166      307231\n",
       "...          ...        ...     ...         ...\n",
       "12800      Viken 2022-12-03  393395     1241165\n",
       "12801      Viken 2022-12-04  393399     1241165\n",
       "12802      Viken 2022-12-05  393410     1241165\n",
       "12803      Viken 2022-12-06  393463     1241165\n",
       "12804      Viken 2022-12-07  393518     1241165\n",
       "\n",
       "[11820 rows x 4 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# discard ukjent fylke where population 100k doesn't make sense\n",
    "cases = cases[~cases.fylke_name.str.contains(\"Ukjent\")].copy()\n",
    "cases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b70a9654-e208-4a1b-aca4-00b6089ef17b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\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>fylke_name</th>\n",
       "      <th>date</th>\n",
       "      <th>cases</th>\n",
       "      <th>population</th>\n",
       "      <th>daily cases</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Agder</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>133</td>\n",
       "      <td>307231</td>\n",
       "      <td>133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Agder</td>\n",
       "      <td>2020-03-27</td>\n",
       "      <td>148</td>\n",
       "      <td>307231</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Agder</td>\n",
       "      <td>2020-03-28</td>\n",
       "      <td>159</td>\n",
       "      <td>307231</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Agder</td>\n",
       "      <td>2020-03-29</td>\n",
       "      <td>161</td>\n",
       "      <td>307231</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Agder</td>\n",
       "      <td>2020-03-30</td>\n",
       "      <td>166</td>\n",
       "      <td>307231</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>12800</th>\n",
       "      <td>Viken</td>\n",
       "      <td>2022-12-03</td>\n",
       "      <td>393395</td>\n",
       "      <td>1241165</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12801</th>\n",
       "      <td>Viken</td>\n",
       "      <td>2022-12-04</td>\n",
       "      <td>393399</td>\n",
       "      <td>1241165</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12802</th>\n",
       "      <td>Viken</td>\n",
       "      <td>2022-12-05</td>\n",
       "      <td>393410</td>\n",
       "      <td>1241165</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12803</th>\n",
       "      <td>Viken</td>\n",
       "      <td>2022-12-06</td>\n",
       "      <td>393463</td>\n",
       "      <td>1241165</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12804</th>\n",
       "      <td>Viken</td>\n",
       "      <td>2022-12-07</td>\n",
       "      <td>393518</td>\n",
       "      <td>1241165</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11820 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      fylke_name       date   cases  population  daily cases\n",
       "0          Agder 2020-03-26     133      307231          133\n",
       "1          Agder 2020-03-27     148      307231           15\n",
       "2          Agder 2020-03-28     159      307231           11\n",
       "3          Agder 2020-03-29     161      307231            2\n",
       "4          Agder 2020-03-30     166      307231            5\n",
       "...          ...        ...     ...         ...          ...\n",
       "12800      Viken 2022-12-03  393395     1241165           47\n",
       "12801      Viken 2022-12-04  393399     1241165            4\n",
       "12802      Viken 2022-12-05  393410     1241165           11\n",
       "12803      Viken 2022-12-06  393463     1241165           53\n",
       "12804      Viken 2022-12-07  393518     1241165           55\n",
       "\n",
       "[11820 rows x 5 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 'cases' is a cumulative sum\n",
    "# reverse that to calculate the daily new case count\n",
    "\n",
    "# 1. createe a new column\n",
    "cases[\"daily cases\"] = 0\n",
    "\n",
    "# 2. populate it per fylke\n",
    "for fylke in cases.fylke_name.unique():\n",
    "    mask = cases.fylke_name == fylke\n",
    "    fylke_cases = cases.loc[mask]\n",
    "    diff = fylke_cases.cases.diff()\n",
    "    # set first value from cases\n",
    "    diff.iloc[0] = fylke_cases.iloc[0].cases\n",
    "    cases.loc[fylke_cases.index, \"daily cases\"] = diff.astype(int)\n",
    "\n",
    "cases"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a01ad141-cea7-4efa-9f38-398f9f3483a0",
   "metadata": {},
   "source": [
    "# Add per-100,000 population column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1ec6a2cc-1b26-4c51-a0e3-78fe1970aad6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "\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>fylke_name</th>\n",
       "      <th>date</th>\n",
       "      <th>cases</th>\n",
       "      <th>population</th>\n",
       "      <th>daily cases</th>\n",
       "      <th>per100k</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Agder</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>133</td>\n",
       "      <td>307231</td>\n",
       "      <td>133</td>\n",
       "      <td>43.289761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Agder</td>\n",
       "      <td>2020-03-27</td>\n",
       "      <td>148</td>\n",
       "      <td>307231</td>\n",
       "      <td>15</td>\n",
       "      <td>4.882304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Agder</td>\n",
       "      <td>2020-03-28</td>\n",
       "      <td>159</td>\n",
       "      <td>307231</td>\n",
       "      <td>11</td>\n",
       "      <td>3.580356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Agder</td>\n",
       "      <td>2020-03-29</td>\n",
       "      <td>161</td>\n",
       "      <td>307231</td>\n",
       "      <td>2</td>\n",
       "      <td>0.650974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Agder</td>\n",
       "      <td>2020-03-30</td>\n",
       "      <td>166</td>\n",
       "      <td>307231</td>\n",
       "      <td>5</td>\n",
       "      <td>1.627435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12800</th>\n",
       "      <td>Viken</td>\n",
       "      <td>2022-12-03</td>\n",
       "      <td>393395</td>\n",
       "      <td>1241165</td>\n",
       "      <td>47</td>\n",
       "      <td>3.786762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12801</th>\n",
       "      <td>Viken</td>\n",
       "      <td>2022-12-04</td>\n",
       "      <td>393399</td>\n",
       "      <td>1241165</td>\n",
       "      <td>4</td>\n",
       "      <td>0.322278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12802</th>\n",
       "      <td>Viken</td>\n",
       "      <td>2022-12-05</td>\n",
       "      <td>393410</td>\n",
       "      <td>1241165</td>\n",
       "      <td>11</td>\n",
       "      <td>0.886263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12803</th>\n",
       "      <td>Viken</td>\n",
       "      <td>2022-12-06</td>\n",
       "      <td>393463</td>\n",
       "      <td>1241165</td>\n",
       "      <td>53</td>\n",
       "      <td>4.270178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12804</th>\n",
       "      <td>Viken</td>\n",
       "      <td>2022-12-07</td>\n",
       "      <td>393518</td>\n",
       "      <td>1241165</td>\n",
       "      <td>55</td>\n",
       "      <td>4.431317</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11820 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      fylke_name       date   cases  population  daily cases    per100k\n",
       "0          Agder 2020-03-26     133      307231          133  43.289761\n",
       "1          Agder 2020-03-27     148      307231           15   4.882304\n",
       "2          Agder 2020-03-28     159      307231           11   3.580356\n",
       "3          Agder 2020-03-29     161      307231            2   0.650974\n",
       "4          Agder 2020-03-30     166      307231            5   1.627435\n",
       "...          ...        ...     ...         ...          ...        ...\n",
       "12800      Viken 2022-12-03  393395     1241165           47   3.786762\n",
       "12801      Viken 2022-12-04  393399     1241165            4   0.322278\n",
       "12802      Viken 2022-12-05  393410     1241165           11   0.886263\n",
       "12803      Viken 2022-12-06  393463     1241165           53   4.270178\n",
       "12804      Viken 2022-12-07  393518     1241165           55   4.431317\n",
       "\n",
       "[11820 rows x 6 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# per100k is \"daily new cases per 100k population\"\n",
    "cases[\"per100k\"] = cases[\"daily cases\"] * 1e5 / (cases[\"population\"] + 1)\n",
    "cases"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "441bdc42-2255-418d-9510-e6aac7507dfd",
   "metadata": {},
   "source": [
    "## Exercise\n",
    "\n",
    "plot cases per 1000 by fylke over time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "aef07907-687f-49f0-aa44-d14078755dfd",
   "metadata": {},
   "outputs": [],
   "source": [
    "latest_cases = cases[-5000:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f06eb6de-7a56-4f7b-aa4a-6ecd9ced80f4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['fylke_name', 'date', 'cases', 'population', 'daily cases', 'per100k'], dtype='object')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "latest_cases.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "eac314cb-7181-4265-8401-5a37972992fa",
   "metadata": {},
   "outputs": [
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     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "subset = cases[cases.fylke_name.isin([\"Oslo\", \"Viken\"])]\n",
    "\n",
    "\n",
    "daily = (\n",
    "    alt.Chart(subset)\n",
    "    .mark_point()\n",
    "    .encode(\n",
    "        x=\"date:T\",\n",
    "        y=\"per100k\",\n",
    "        color=\"fylke_name\",\n",
    "        tooltip=[\n",
    "            \"fylke_name\",\n",
    "            \"population\",\n",
    "            \"per100k\",\n",
    "            \"cases\",\n",
    "        ],\n",
    "    )\n",
    ")\n",
    "daily"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8f8a7ece-b14c-4d39-ba56-32f8c1786e3b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  }\n",
       "</style>\n",
       "<div id=\"altair-viz-38a790048dec47b2bf13673390ebe7ce\"></div>\n",
       "<script type=\"text/javascript\">\n",
       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
       "  (function(spec, embedOpt){\n",
       "    let outputDiv = document.currentScript.previousElementSibling;\n",
       "    if (outputDiv.id !== \"altair-viz-38a790048dec47b2bf13673390ebe7ce\") {\n",
       "      outputDiv = document.getElementById(\"altair-viz-38a790048dec47b2bf13673390ebe7ce\");\n",
       "    }\n",
       "    const paths = {\n",
       "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.8.0?noext\",\n",
       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
       "    };\n",
       "\n",
       "    function maybeLoadScript(lib, version) {\n",
       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
       "      return (VEGA_DEBUG[key] == version) ?\n",
       "        Promise.resolve(paths[lib]) :\n",
       "        new Promise(function(resolve, reject) {\n",
       "          var s = document.createElement('script');\n",
       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "          s.async = true;\n",
       "          s.onload = () => {\n",
       "            VEGA_DEBUG[key] = version;\n",
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       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
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       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
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       "    function displayChart(vegaEmbed) {\n",
       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
       "    }\n",
       "\n",
       "    if(typeof define === \"function\" && define.amd) {\n",
       "      requirejs.config({paths});\n",
       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
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       "      maybeLoadScript(\"vega\", \"5\")\n",
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\"date\": \"2022-11-07T00:00:00\", \"cases\": 392546, \"population\": 1241165, \"daily cases\": 6, \"per100k\": 0.48341640038479944}, {\"fylke_name\": \"Viken\", \"date\": \"2022-11-08T00:00:00\", \"cases\": 392599, \"population\": 1241165, \"daily cases\": 53, \"per100k\": 4.270178203399062}, {\"fylke_name\": \"Viken\", \"date\": \"2022-11-09T00:00:00\", \"cases\": 392635, \"population\": 1241165, \"daily cases\": 36, \"per100k\": 2.9004984023087967}, {\"fylke_name\": \"Viken\", \"date\": \"2022-11-10T00:00:00\", \"cases\": 392679, \"population\": 1241165, \"daily cases\": 44, \"per100k\": 3.545053602821863}, {\"fylke_name\": \"Viken\", \"date\": \"2022-11-11T00:00:00\", \"cases\": 392715, \"population\": 1241165, \"daily cases\": 36, \"per100k\": 2.9004984023087967}, {\"fylke_name\": \"Viken\", \"date\": \"2022-11-12T00:00:00\", \"cases\": 392749, \"population\": 1241165, \"daily cases\": 34, \"per100k\": 2.73935960218053}, {\"fylke_name\": \"Viken\", \"date\": 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\"per100k\": 4.431317003527329}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.Chart(...)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weekly = (\n",
    "    alt.Chart(subset)\n",
    "    .mark_line()\n",
    "    .transform_window(\n",
    "        weekly_avg=\"mean(per100k)\",\n",
    "        frame=[-3, 3],\n",
    "    )\n",
    "    .encode(\n",
    "        x=\"date:T\",\n",
    "        y=\"weekly_avg:Q\",\n",
    "        color=\"fylke_name\",\n",
    "        tooltip=[\n",
    "            \"fylke_name\",\n",
    "            \"population\",\n",
    "            \"per100k\",\n",
    "            \"cases\",\n",
    "            \"date\",\n",
    "        ],\n",
    "    )\n",
    ")\n",
    "weekly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e2cfada9-f324-4da0-9231-01a3b21dbc8f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       "  #altair-viz-7022b38069b845c1b74b415b8148d080.vega-embed {\n",
       "    width: 100%;\n",
       "    display: flex;\n",
       "  }\n",
       "\n",
       "  #altair-viz-7022b38069b845c1b74b415b8148d080.vega-embed details,\n",
       "  #altair-viz-7022b38069b845c1b74b415b8148d080.vega-embed details summary {\n",
       "    position: relative;\n",
       "  }\n",
       "</style>\n",
       "<div id=\"altair-viz-7022b38069b845c1b74b415b8148d080\"></div>\n",
       "<script type=\"text/javascript\">\n",
       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
       "  (function(spec, embedOpt){\n",
       "    let outputDiv = document.currentScript.previousElementSibling;\n",
       "    if (outputDiv.id !== \"altair-viz-7022b38069b845c1b74b415b8148d080\") {\n",
       "      outputDiv = document.getElementById(\"altair-viz-7022b38069b845c1b74b415b8148d080\");\n",
       "    }\n",
       "    const paths = {\n",
       "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.8.0?noext\",\n",
       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
       "    };\n",
       "\n",
       "    function maybeLoadScript(lib, version) {\n",
       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
       "      return (VEGA_DEBUG[key] == version) ?\n",
       "        Promise.resolve(paths[lib]) :\n",
       "        new Promise(function(resolve, reject) {\n",
       "          var s = document.createElement('script');\n",
       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "          s.async = true;\n",
       "          s.onload = () => {\n",
       "            VEGA_DEBUG[key] = version;\n",
       "            return resolve(paths[lib]);\n",
       "          };\n",
       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
       "          s.src = paths[lib];\n",
       "        });\n",
       "    }\n",
       "\n",
       "    function showError(err) {\n",
       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
       "      throw err;\n",
       "    }\n",
       "\n",
       "    function displayChart(vegaEmbed) {\n",
       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
       "    }\n",
       "\n",
       "    if(typeof define === \"function\" && define.amd) {\n",
       "      requirejs.config({paths});\n",
       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
       "    } else {\n",
       "      maybeLoadScript(\"vega\", \"5\")\n",
       "        .then(() => maybeLoadScript(\"vega-lite\", \"5.8.0\"))\n",
       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
       "        .catch(showError)\n",
       "        .then(() => displayChart(vegaEmbed));\n",
       "    }\n",
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       "</script>"
      ],
      "text/plain": [
       "alt.HConcatChart(...)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weekly | daily"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "382f04f4-1042-4ade-b7f6-5a315c5f377e",
   "metadata": {},
   "source": [
    "We can also do the same with matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a66bad26-5b87-4b76-89c0-7355c14e1ad4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "fylke_name\n",
       "Oslo     Axes(0.125,0.2;0.775x0.68)\n",
       "Viken    Axes(0.125,0.2;0.775x0.68)\n",
       "dtype: object"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1000x618.034 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 510,
       "width": 840
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1000x618.034 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 510,
       "width": 840
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "subset.groupby(\"fylke_name\")[[\"date\", \"per100k\"]].plot(\n",
    "    x=\"date\", y=\"per100k\", legend=True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "7ee65a0a-5d81-46ae-b682-e9070417551a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "fylke_name\n",
       "Oslo     Axes(0.125,0.2;0.775x0.68)\n",
       "Viken    Axes(0.125,0.2;0.775x0.68)\n",
       "Name: per100k, dtype: object"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x618.034 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 510,
       "width": 840
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "subset.set_index(\"date\").groupby(\"fylke_name\").per100k.plot(legend=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b380031e-d566-4699-8047-269edb58b386",
   "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>Dato</th>\n",
       "      <th>Kumulativt antall</th>\n",
       "      <th>Nye sykehusinnlegelser</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-02-21</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-02-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-02-23</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-02-24</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-02-25</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>973</th>\n",
       "      <td>2022-10-21</td>\n",
       "      <td>16348</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>974</th>\n",
       "      <td>2022-10-22</td>\n",
       "      <td>16359</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>975</th>\n",
       "      <td>2022-10-23</td>\n",
       "      <td>16374</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>976</th>\n",
       "      <td>2022-10-24</td>\n",
       "      <td>16389</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>977</th>\n",
       "      <td>2022-10-25</td>\n",
       "      <td>16390</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>978 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Dato  Kumulativt antall  Nye sykehusinnlegelser\n",
       "0   2020-02-21                  0                       0\n",
       "1   2020-02-22                  0                       0\n",
       "2   2020-02-23                  0                       0\n",
       "3   2020-02-24                  0                       0\n",
       "4   2020-02-25                  0                       0\n",
       "..         ...                ...                     ...\n",
       "973 2022-10-21              16348                      13\n",
       "974 2022-10-22              16359                      11\n",
       "975 2022-10-23              16374                      15\n",
       "976 2022-10-24              16389                      15\n",
       "977 2022-10-25              16390                       1\n",
       "\n",
       "[978 rows x 3 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "admissions = pd.read_csv(\n",
    "    \"pasienter-innlagt-i-syke.csv\",\n",
    "    parse_dates=[\"Dato\"],\n",
    "    dayfirst=True,\n",
    ")\n",
    "admissions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "2d4e4f83-2745-46ff-b018-c9edd688820c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    width: 100%;\n",
       "    display: flex;\n",
       "  }\n",
       "\n",
       "  #altair-viz-9b2635a5e8f74a3aac20dfeacc56d40d.vega-embed details,\n",
       "  #altair-viz-9b2635a5e8f74a3aac20dfeacc56d40d.vega-embed details summary {\n",
       "    position: relative;\n",
       "  }\n",
       "</style>\n",
       "<div id=\"altair-viz-9b2635a5e8f74a3aac20dfeacc56d40d\"></div>\n",
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       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
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       "    if (outputDiv.id !== \"altair-viz-9b2635a5e8f74a3aac20dfeacc56d40d\") {\n",
       "      outputDiv = document.getElementById(\"altair-viz-9b2635a5e8f74a3aac20dfeacc56d40d\");\n",
       "    }\n",
       "    const paths = {\n",
       "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.8.0?noext\",\n",
       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
       "    };\n",
       "\n",
       "    function maybeLoadScript(lib, version) {\n",
       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
       "      return (VEGA_DEBUG[key] == version) ?\n",
       "        Promise.resolve(paths[lib]) :\n",
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       "    function showError(err) {\n",
       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
       "      throw err;\n",
       "    }\n",
       "\n",
       "    function displayChart(vegaEmbed) {\n",
       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
       "    }\n",
       "\n",
       "    if(typeof define === \"function\" && define.amd) {\n",
       "      requirejs.config({paths});\n",
       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
       "    } else {\n",
       "      maybeLoadScript(\"vega\", \"5\")\n",
       "        .then(() => maybeLoadScript(\"vega-lite\", \"5.8.0\"))\n",
       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
       "        .catch(showError)\n",
       "        .then(() => displayChart(vegaEmbed));\n",
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       "  })({\"config\": {\"view\": {\"continuousWidth\": 300, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-c71ca1b34e7e8ef0823a8d6088d0810b\"}, \"mark\": {\"type\": \"line\"}, \"encoding\": {\"x\": {\"field\": \"Dato\", \"type\": \"temporal\"}, \"y\": {\"field\": \"Nye sykehusinnlegelser\", \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v5.8.0.json\", \"datasets\": {\"data-c71ca1b34e7e8ef0823a8d6088d0810b\": [{\"Dato\": \"2020-02-21T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-02-22T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-02-23T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-02-24T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-02-25T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-02-26T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-02-27T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-02-28T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-02-29T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-03-01T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-03-02T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-03-03T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-03-04T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-03-05T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-03-06T00:00:00\", \"Kumulativt antall\": 1, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-03-07T00:00:00\", \"Kumulativt antall\": 1, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-03-08T00:00:00\", \"Kumulativt antall\": 2, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-03-09T00:00:00\", \"Kumulativt antall\": 5, \"Nye sykehusinnlegelser\": 3}, {\"Dato\": \"2020-03-10T00:00:00\", \"Kumulativt antall\": 12, \"Nye sykehusinnlegelser\": 7}, {\"Dato\": \"2020-03-11T00:00:00\", \"Kumulativt antall\": 20, \"Nye sykehusinnlegelser\": 8}, {\"Dato\": \"2020-03-12T00:00:00\", \"Kumulativt antall\": 24, \"Nye sykehusinnlegelser\": 4}, {\"Dato\": \"2020-03-13T00:00:00\", \"Kumulativt antall\": 33, \"Nye sykehusinnlegelser\": 9}, {\"Dato\": \"2020-03-14T00:00:00\", \"Kumulativt antall\": 44, \"Nye sykehusinnlegelser\": 11}, {\"Dato\": \"2020-03-15T00:00:00\", \"Kumulativt antall\": 52, \"Nye sykehusinnlegelser\": 8}, {\"Dato\": \"2020-03-16T00:00:00\", \"Kumulativt antall\": 71, \"Nye sykehusinnlegelser\": 19}, {\"Dato\": \"2020-03-17T00:00:00\", \"Kumulativt antall\": 90, \"Nye sykehusinnlegelser\": 19}, {\"Dato\": \"2020-03-18T00:00:00\", \"Kumulativt antall\": 114, \"Nye sykehusinnlegelser\": 24}, {\"Dato\": \"2020-03-19T00:00:00\", \"Kumulativt antall\": 152, \"Nye sykehusinnlegelser\": 38}, {\"Dato\": \"2020-03-20T00:00:00\", \"Kumulativt antall\": 184, \"Nye sykehusinnlegelser\": 32}, {\"Dato\": \"2020-03-21T00:00:00\", \"Kumulativt antall\": 212, \"Nye sykehusinnlegelser\": 28}, {\"Dato\": \"2020-03-22T00:00:00\", \"Kumulativt antall\": 240, \"Nye sykehusinnlegelser\": 28}, {\"Dato\": \"2020-03-23T00:00:00\", \"Kumulativt antall\": 283, \"Nye sykehusinnlegelser\": 43}, {\"Dato\": \"2020-03-24T00:00:00\", \"Kumulativt antall\": 329, \"Nye sykehusinnlegelser\": 46}, {\"Dato\": \"2020-03-25T00:00:00\", \"Kumulativt antall\": 389, \"Nye sykehusinnlegelser\": 60}, {\"Dato\": \"2020-03-26T00:00:00\", \"Kumulativt antall\": 434, \"Nye sykehusinnlegelser\": 45}, {\"Dato\": \"2020-03-27T00:00:00\", \"Kumulativt antall\": 470, \"Nye sykehusinnlegelser\": 36}, {\"Dato\": \"2020-03-28T00:00:00\", \"Kumulativt antall\": 504, \"Nye sykehusinnlegelser\": 34}, {\"Dato\": \"2020-03-29T00:00:00\", \"Kumulativt antall\": 528, \"Nye sykehusinnlegelser\": 24}, {\"Dato\": \"2020-03-30T00:00:00\", \"Kumulativt antall\": 561, \"Nye sykehusinnlegelser\": 33}, {\"Dato\": \"2020-03-31T00:00:00\", \"Kumulativt antall\": 599, \"Nye sykehusinnlegelser\": 38}, {\"Dato\": \"2020-04-01T00:00:00\", \"Kumulativt antall\": 626, \"Nye sykehusinnlegelser\": 27}, {\"Dato\": \"2020-04-02T00:00:00\", \"Kumulativt antall\": 663, \"Nye sykehusinnlegelser\": 37}, {\"Dato\": \"2020-04-03T00:00:00\", \"Kumulativt antall\": 684, \"Nye sykehusinnlegelser\": 21}, {\"Dato\": \"2020-04-04T00:00:00\", \"Kumulativt antall\": 711, \"Nye sykehusinnlegelser\": 27}, {\"Dato\": \"2020-04-05T00:00:00\", \"Kumulativt antall\": 725, \"Nye sykehusinnlegelser\": 14}, {\"Dato\": \"2020-04-06T00:00:00\", \"Kumulativt antall\": 744, \"Nye sykehusinnlegelser\": 19}, {\"Dato\": \"2020-04-07T00:00:00\", \"Kumulativt antall\": 758, \"Nye sykehusinnlegelser\": 14}, {\"Dato\": \"2020-04-08T00:00:00\", \"Kumulativt antall\": 780, \"Nye sykehusinnlegelser\": 22}, {\"Dato\": \"2020-04-09T00:00:00\", \"Kumulativt antall\": 790, \"Nye sykehusinnlegelser\": 10}, {\"Dato\": \"2020-04-10T00:00:00\", \"Kumulativt antall\": 796, \"Nye sykehusinnlegelser\": 6}, {\"Dato\": \"2020-04-11T00:00:00\", \"Kumulativt antall\": 807, \"Nye sykehusinnlegelser\": 11}, {\"Dato\": \"2020-04-12T00:00:00\", \"Kumulativt antall\": 816, \"Nye sykehusinnlegelser\": 9}, {\"Dato\": \"2020-04-13T00:00:00\", \"Kumulativt antall\": 826, \"Nye sykehusinnlegelser\": 10}, {\"Dato\": \"2020-04-14T00:00:00\", \"Kumulativt antall\": 837, \"Nye sykehusinnlegelser\": 11}, {\"Dato\": \"2020-04-15T00:00:00\", \"Kumulativt antall\": 849, \"Nye sykehusinnlegelser\": 12}, {\"Dato\": \"2020-04-16T00:00:00\", \"Kumulativt antall\": 853, \"Nye sykehusinnlegelser\": 4}, {\"Dato\": \"2020-04-17T00:00:00\", \"Kumulativt antall\": 868, \"Nye sykehusinnlegelser\": 15}, {\"Dato\": \"2020-04-18T00:00:00\", \"Kumulativt antall\": 877, \"Nye sykehusinnlegelser\": 9}, {\"Dato\": \"2020-04-19T00:00:00\", \"Kumulativt antall\": 882, \"Nye sykehusinnlegelser\": 5}, {\"Dato\": \"2020-04-20T00:00:00\", \"Kumulativt antall\": 887, \"Nye sykehusinnlegelser\": 5}, {\"Dato\": \"2020-04-21T00:00:00\", \"Kumulativt antall\": 891, \"Nye sykehusinnlegelser\": 4}, {\"Dato\": \"2020-04-22T00:00:00\", \"Kumulativt antall\": 899, \"Nye sykehusinnlegelser\": 8}, {\"Dato\": \"2020-04-23T00:00:00\", \"Kumulativt antall\": 904, \"Nye sykehusinnlegelser\": 5}, {\"Dato\": \"2020-04-24T00:00:00\", \"Kumulativt antall\": 912, \"Nye sykehusinnlegelser\": 8}, {\"Dato\": \"2020-04-25T00:00:00\", \"Kumulativt antall\": 916, \"Nye sykehusinnlegelser\": 4}, {\"Dato\": \"2020-04-26T00:00:00\", \"Kumulativt antall\": 922, \"Nye sykehusinnlegelser\": 6}, {\"Dato\": \"2020-04-27T00:00:00\", \"Kumulativt antall\": 924, \"Nye sykehusinnlegelser\": 2}, {\"Dato\": \"2020-04-28T00:00:00\", \"Kumulativt antall\": 931, \"Nye sykehusinnlegelser\": 7}, {\"Dato\": \"2020-04-29T00:00:00\", \"Kumulativt antall\": 931, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-04-30T00:00:00\", \"Kumulativt antall\": 933, \"Nye sykehusinnlegelser\": 2}, {\"Dato\": \"2020-05-01T00:00:00\", \"Kumulativt antall\": 935, \"Nye sykehusinnlegelser\": 2}, {\"Dato\": \"2020-05-02T00:00:00\", \"Kumulativt antall\": 937, \"Nye sykehusinnlegelser\": 2}, {\"Dato\": \"2020-05-03T00:00:00\", \"Kumulativt antall\": 938, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-05-04T00:00:00\", \"Kumulativt antall\": 940, \"Nye sykehusinnlegelser\": 2}, {\"Dato\": \"2020-05-05T00:00:00\", \"Kumulativt antall\": 943, \"Nye sykehusinnlegelser\": 3}, {\"Dato\": \"2020-05-06T00:00:00\", \"Kumulativt antall\": 947, \"Nye sykehusinnlegelser\": 4}, {\"Dato\": \"2020-05-07T00:00:00\", \"Kumulativt antall\": 949, \"Nye sykehusinnlegelser\": 2}, {\"Dato\": \"2020-05-08T00:00:00\", \"Kumulativt antall\": 953, \"Nye sykehusinnlegelser\": 4}, {\"Dato\": \"2020-05-09T00:00:00\", \"Kumulativt antall\": 954, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-05-10T00:00:00\", \"Kumulativt antall\": 955, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-05-11T00:00:00\", \"Kumulativt antall\": 957, \"Nye sykehusinnlegelser\": 2}, {\"Dato\": \"2020-05-12T00:00:00\", \"Kumulativt antall\": 960, \"Nye sykehusinnlegelser\": 3}, {\"Dato\": \"2020-05-13T00:00:00\", \"Kumulativt antall\": 963, \"Nye sykehusinnlegelser\": 3}, {\"Dato\": \"2020-05-14T00:00:00\", \"Kumulativt antall\": 965, \"Nye sykehusinnlegelser\": 2}, {\"Dato\": \"2020-05-15T00:00:00\", \"Kumulativt antall\": 966, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-05-16T00:00:00\", \"Kumulativt antall\": 966, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-05-17T00:00:00\", \"Kumulativt antall\": 966, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-05-18T00:00:00\", \"Kumulativt antall\": 971, \"Nye sykehusinnlegelser\": 5}, {\"Dato\": \"2020-05-19T00:00:00\", \"Kumulativt antall\": 972, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-05-20T00:00:00\", \"Kumulativt antall\": 973, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-05-21T00:00:00\", \"Kumulativt antall\": 975, \"Nye sykehusinnlegelser\": 2}, {\"Dato\": \"2020-05-22T00:00:00\", \"Kumulativt antall\": 976, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-05-23T00:00:00\", \"Kumulativt antall\": 976, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-05-24T00:00:00\", \"Kumulativt antall\": 976, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-05-25T00:00:00\", \"Kumulativt antall\": 976, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-05-26T00:00:00\", \"Kumulativt antall\": 977, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-05-27T00:00:00\", \"Kumulativt antall\": 981, \"Nye sykehusinnlegelser\": 4}, {\"Dato\": \"2020-05-28T00:00:00\", \"Kumulativt antall\": 983, \"Nye sykehusinnlegelser\": 2}, {\"Dato\": \"2020-05-29T00:00:00\", \"Kumulativt antall\": 984, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-05-30T00:00:00\", \"Kumulativt antall\": 984, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-05-31T00:00:00\", \"Kumulativt antall\": 986, \"Nye sykehusinnlegelser\": 2}, {\"Dato\": \"2020-06-01T00:00:00\", \"Kumulativt antall\": 987, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-06-02T00:00:00\", \"Kumulativt antall\": 987, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-06-03T00:00:00\", \"Kumulativt antall\": 987, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-06-04T00:00:00\", \"Kumulativt antall\": 987, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-06-05T00:00:00\", \"Kumulativt antall\": 988, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-06-06T00:00:00\", \"Kumulativt antall\": 988, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-06-07T00:00:00\", \"Kumulativt antall\": 988, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-06-08T00:00:00\", \"Kumulativt antall\": 989, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-06-09T00:00:00\", \"Kumulativt antall\": 991, \"Nye sykehusinnlegelser\": 2}, {\"Dato\": \"2020-06-10T00:00:00\", \"Kumulativt antall\": 992, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-06-11T00:00:00\", \"Kumulativt antall\": 994, \"Nye sykehusinnlegelser\": 2}, {\"Dato\": \"2020-06-12T00:00:00\", \"Kumulativt antall\": 995, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-06-13T00:00:00\", \"Kumulativt antall\": 995, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-06-14T00:00:00\", \"Kumulativt antall\": 996, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-06-15T00:00:00\", \"Kumulativt antall\": 997, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-06-16T00:00:00\", \"Kumulativt antall\": 998, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-06-17T00:00:00\", \"Kumulativt antall\": 1001, \"Nye sykehusinnlegelser\": 3}, {\"Dato\": \"2020-06-18T00:00:00\", \"Kumulativt antall\": 1002, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": 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0}, {\"Dato\": \"2020-07-20T00:00:00\", \"Kumulativt antall\": 1032, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-07-21T00:00:00\", \"Kumulativt antall\": 1032, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-07-22T00:00:00\", \"Kumulativt antall\": 1032, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-07-23T00:00:00\", \"Kumulativt antall\": 1032, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-07-24T00:00:00\", \"Kumulativt antall\": 1034, \"Nye sykehusinnlegelser\": 2}, {\"Dato\": \"2020-07-25T00:00:00\", \"Kumulativt antall\": 1034, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-07-26T00:00:00\", \"Kumulativt antall\": 1035, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-07-27T00:00:00\", \"Kumulativt antall\": 1036, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-07-28T00:00:00\", \"Kumulativt antall\": 1036, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-07-29T00:00:00\", \"Kumulativt antall\": 1036, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": 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10}, {\"Dato\": \"2020-10-10T00:00:00\", \"Kumulativt antall\": 1214, \"Nye sykehusinnlegelser\": 4}, {\"Dato\": \"2020-10-11T00:00:00\", \"Kumulativt antall\": 1221, \"Nye sykehusinnlegelser\": 7}, {\"Dato\": \"2020-10-12T00:00:00\", \"Kumulativt antall\": 1225, \"Nye sykehusinnlegelser\": 4}, {\"Dato\": \"2020-10-13T00:00:00\", \"Kumulativt antall\": 1227, \"Nye sykehusinnlegelser\": 2}, {\"Dato\": \"2020-10-14T00:00:00\", \"Kumulativt antall\": 1228, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-10-15T00:00:00\", \"Kumulativt antall\": 1231, \"Nye sykehusinnlegelser\": 3}, {\"Dato\": \"2020-10-16T00:00:00\", \"Kumulativt antall\": 1236, \"Nye sykehusinnlegelser\": 5}, {\"Dato\": \"2020-10-17T00:00:00\", \"Kumulativt antall\": 1240, \"Nye sykehusinnlegelser\": 4}, {\"Dato\": \"2020-10-18T00:00:00\", \"Kumulativt antall\": 1243, \"Nye sykehusinnlegelser\": 3}, {\"Dato\": \"2020-10-19T00:00:00\", \"Kumulativt antall\": 1244, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": 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1453, \"Nye sykehusinnlegelser\": 15}, {\"Dato\": \"2020-11-10T00:00:00\", \"Kumulativt antall\": 1466, \"Nye sykehusinnlegelser\": 13}, {\"Dato\": \"2020-11-11T00:00:00\", \"Kumulativt antall\": 1487, \"Nye sykehusinnlegelser\": 21}, {\"Dato\": \"2020-11-12T00:00:00\", \"Kumulativt antall\": 1505, \"Nye sykehusinnlegelser\": 18}, {\"Dato\": \"2020-11-13T00:00:00\", \"Kumulativt antall\": 1525, \"Nye sykehusinnlegelser\": 20}, {\"Dato\": \"2020-11-14T00:00:00\", \"Kumulativt antall\": 1535, \"Nye sykehusinnlegelser\": 10}, {\"Dato\": \"2020-11-15T00:00:00\", \"Kumulativt antall\": 1548, \"Nye sykehusinnlegelser\": 13}, {\"Dato\": \"2020-11-16T00:00:00\", \"Kumulativt antall\": 1567, \"Nye sykehusinnlegelser\": 19}, {\"Dato\": \"2020-11-17T00:00:00\", \"Kumulativt antall\": 1583, \"Nye sykehusinnlegelser\": 16}, {\"Dato\": \"2020-11-18T00:00:00\", \"Kumulativt antall\": 1595, \"Nye sykehusinnlegelser\": 12}, {\"Dato\": \"2020-11-19T00:00:00\", \"Kumulativt antall\": 1611, \"Nye sykehusinnlegelser\": 16}, {\"Dato\": \"2020-11-20T00:00:00\", \"Kumulativt antall\": 1624, \"Nye sykehusinnlegelser\": 13}, {\"Dato\": \"2020-11-21T00:00:00\", \"Kumulativt antall\": 1642, \"Nye sykehusinnlegelser\": 18}, {\"Dato\": \"2020-11-22T00:00:00\", \"Kumulativt antall\": 1657, \"Nye sykehusinnlegelser\": 15}, {\"Dato\": \"2020-11-23T00:00:00\", \"Kumulativt antall\": 1672, \"Nye sykehusinnlegelser\": 15}, {\"Dato\": \"2020-11-24T00:00:00\", \"Kumulativt antall\": 1685, \"Nye sykehusinnlegelser\": 13}, {\"Dato\": \"2020-11-25T00:00:00\", \"Kumulativt antall\": 1704, \"Nye sykehusinnlegelser\": 19}, {\"Dato\": \"2020-11-26T00:00:00\", \"Kumulativt antall\": 1714, \"Nye sykehusinnlegelser\": 10}, {\"Dato\": \"2020-11-27T00:00:00\", \"Kumulativt antall\": 1731, \"Nye sykehusinnlegelser\": 17}, {\"Dato\": \"2020-11-28T00:00:00\", \"Kumulativt antall\": 1745, \"Nye sykehusinnlegelser\": 14}, {\"Dato\": \"2020-11-29T00:00:00\", \"Kumulativt antall\": 1752, \"Nye 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\"2022-09-26T00:00:00\", \"Kumulativt antall\": 15970, \"Nye sykehusinnlegelser\": 18}, {\"Dato\": \"2022-09-27T00:00:00\", \"Kumulativt antall\": 15988, \"Nye sykehusinnlegelser\": 18}, {\"Dato\": \"2022-09-28T00:00:00\", \"Kumulativt antall\": 15999, \"Nye sykehusinnlegelser\": 11}, {\"Dato\": \"2022-09-29T00:00:00\", \"Kumulativt antall\": 16013, \"Nye sykehusinnlegelser\": 14}, {\"Dato\": \"2022-09-30T00:00:00\", \"Kumulativt antall\": 16031, \"Nye sykehusinnlegelser\": 18}, {\"Dato\": \"2022-10-01T00:00:00\", \"Kumulativt antall\": 16045, \"Nye sykehusinnlegelser\": 14}, {\"Dato\": \"2022-10-02T00:00:00\", \"Kumulativt antall\": 16055, \"Nye sykehusinnlegelser\": 10}, {\"Dato\": \"2022-10-03T00:00:00\", \"Kumulativt antall\": 16071, \"Nye sykehusinnlegelser\": 16}, {\"Dato\": \"2022-10-04T00:00:00\", \"Kumulativt antall\": 16088, \"Nye sykehusinnlegelser\": 17}, {\"Dato\": \"2022-10-05T00:00:00\", \"Kumulativt antall\": 16098, \"Nye sykehusinnlegelser\": 10}, {\"Dato\": \"2022-10-06T00:00:00\", \"Kumulativt antall\": 16115, \"Nye sykehusinnlegelser\": 17}, {\"Dato\": \"2022-10-07T00:00:00\", \"Kumulativt antall\": 16129, \"Nye sykehusinnlegelser\": 14}, {\"Dato\": \"2022-10-08T00:00:00\", \"Kumulativt antall\": 16141, \"Nye sykehusinnlegelser\": 12}, {\"Dato\": \"2022-10-09T00:00:00\", \"Kumulativt antall\": 16155, \"Nye sykehusinnlegelser\": 14}, {\"Dato\": \"2022-10-10T00:00:00\", \"Kumulativt antall\": 16169, \"Nye sykehusinnlegelser\": 14}, {\"Dato\": \"2022-10-11T00:00:00\", \"Kumulativt antall\": 16187, \"Nye sykehusinnlegelser\": 18}, {\"Dato\": \"2022-10-12T00:00:00\", \"Kumulativt antall\": 16205, \"Nye sykehusinnlegelser\": 18}, {\"Dato\": \"2022-10-13T00:00:00\", \"Kumulativt antall\": 16217, \"Nye sykehusinnlegelser\": 12}, {\"Dato\": \"2022-10-14T00:00:00\", \"Kumulativt antall\": 16236, \"Nye sykehusinnlegelser\": 19}, {\"Dato\": \"2022-10-15T00:00:00\", \"Kumulativt antall\": 16256, \"Nye sykehusinnlegelser\": 20}, {\"Dato\": \"2022-10-16T00:00:00\", \"Kumulativt antall\": 16271, \"Nye sykehusinnlegelser\": 15}, {\"Dato\": \"2022-10-17T00:00:00\", \"Kumulativt antall\": 16283, \"Nye sykehusinnlegelser\": 12}, {\"Dato\": \"2022-10-18T00:00:00\", \"Kumulativt antall\": 16304, \"Nye sykehusinnlegelser\": 21}, {\"Dato\": \"2022-10-19T00:00:00\", \"Kumulativt antall\": 16319, \"Nye sykehusinnlegelser\": 15}, {\"Dato\": \"2022-10-20T00:00:00\", \"Kumulativt antall\": 16335, \"Nye sykehusinnlegelser\": 16}, {\"Dato\": \"2022-10-21T00:00:00\", \"Kumulativt antall\": 16348, \"Nye sykehusinnlegelser\": 13}, {\"Dato\": \"2022-10-22T00:00:00\", \"Kumulativt antall\": 16359, \"Nye sykehusinnlegelser\": 11}, {\"Dato\": \"2022-10-23T00:00:00\", \"Kumulativt antall\": 16374, \"Nye sykehusinnlegelser\": 15}, {\"Dato\": \"2022-10-24T00:00:00\", \"Kumulativt antall\": 16389, \"Nye sykehusinnlegelser\": 15}, {\"Dato\": \"2022-10-25T00:00:00\", \"Kumulativt antall\": 16390, \"Nye sykehusinnlegelser\": 1}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.Chart(...)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(admissions).mark_line().encode(\n",
    "    x=\"Dato\",\n",
    "    y=\"Nye sykehusinnlegelser:Q\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "65974d6c-f8f1-4c1b-a071-bad3032a1db3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       "  #altair-viz-94bb4fda19bb475992f383f22cb0a7fd.vega-embed {\n",
       "    width: 100%;\n",
       "    display: flex;\n",
       "  }\n",
       "\n",
       "  #altair-viz-94bb4fda19bb475992f383f22cb0a7fd.vega-embed details,\n",
       "  #altair-viz-94bb4fda19bb475992f383f22cb0a7fd.vega-embed details summary {\n",
       "    position: relative;\n",
       "  }\n",
       "</style>\n",
       "<div id=\"altair-viz-94bb4fda19bb475992f383f22cb0a7fd\"></div>\n",
       "<script type=\"text/javascript\">\n",
       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
       "  (function(spec, embedOpt){\n",
       "    let outputDiv = document.currentScript.previousElementSibling;\n",
       "    if (outputDiv.id !== \"altair-viz-94bb4fda19bb475992f383f22cb0a7fd\") {\n",
       "      outputDiv = document.getElementById(\"altair-viz-94bb4fda19bb475992f383f22cb0a7fd\");\n",
       "    }\n",
       "    const paths = {\n",
       "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.8.0?noext\",\n",
       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
       "    };\n",
       "\n",
       "    function maybeLoadScript(lib, version) {\n",
       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
       "      return (VEGA_DEBUG[key] == version) ?\n",
       "        Promise.resolve(paths[lib]) :\n",
       "        new Promise(function(resolve, reject) {\n",
       "          var s = document.createElement('script');\n",
       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "          s.async = true;\n",
       "          s.onload = () => {\n",
       "            VEGA_DEBUG[key] = version;\n",
       "            return resolve(paths[lib]);\n",
       "          };\n",
       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
       "          s.src = paths[lib];\n",
       "        });\n",
       "    }\n",
       "\n",
       "    function showError(err) {\n",
       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
       "      throw err;\n",
       "    }\n",
       "\n",
       "    function displayChart(vegaEmbed) {\n",
       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
       "    }\n",
       "\n",
       "    if(typeof define === \"function\" && define.amd) {\n",
       "      requirejs.config({paths});\n",
       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
       "    } else {\n",
       "      maybeLoadScript(\"vega\", \"5\")\n",
       "        .then(() => maybeLoadScript(\"vega-lite\", \"5.8.0\"))\n",
       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
       "        .catch(showError)\n",
       "        .then(() => displayChart(vegaEmbed));\n",
       "    }\n",
       "  })({\"config\": {\"view\": {\"continuousWidth\": 300, \"continuousHeight\": 300}}, \"vconcat\": [{\"data\": {\"name\": \"data-c71ca1b34e7e8ef0823a8d6088d0810b\"}, \"mark\": {\"type\": \"line\"}, \"encoding\": {\"x\": {\"field\": \"Dato\", \"type\": \"temporal\"}, \"y\": {\"field\": \"admissions\", \"type\": \"quantitative\"}}, \"transform\": [{\"window\": [{\"op\": \"mean\", \"field\": \"Nye sykehusinnlegelser\", \"as\": \"admissions\"}], \"frame\": [-30, 0]}]}, {\"data\": {\"name\": \"data-a0cd27ddeffd015da6e0a33ea4e42e50\"}, \"mark\": {\"type\": \"line\"}, \"encoding\": {\"color\": {\"field\": \"fylke_name\", \"type\": \"nominal\"}, \"tooltip\": [{\"field\": \"fylke_name\", \"type\": \"nominal\"}, {\"field\": \"population\", \"type\": \"quantitative\"}, {\"field\": \"per100k\", \"type\": \"quantitative\"}, {\"field\": \"cases\", \"type\": \"quantitative\"}, {\"field\": \"date\", \"type\": \"temporal\"}], \"x\": {\"field\": \"date\", \"type\": \"temporal\"}, \"y\": {\"field\": \"weekly_avg\", \"type\": \"quantitative\"}}, \"transform\": [{\"window\": [{\"op\": \"mean\", \"field\": \"per100k\", \"as\": \"weekly_avg\"}], \"frame\": [-3, 3]}]}], \"$schema\": \"https://vega.github.io/schema/vega-lite/v5.8.0.json\", \"datasets\": {\"data-c71ca1b34e7e8ef0823a8d6088d0810b\": [{\"Dato\": \"2020-02-21T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-02-22T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-02-23T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-02-24T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-02-25T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-02-26T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-02-27T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-02-28T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-02-29T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-03-01T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-03-02T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-03-03T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-03-04T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-03-05T00:00:00\", \"Kumulativt antall\": 0, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-03-06T00:00:00\", \"Kumulativt antall\": 1, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-03-07T00:00:00\", \"Kumulativt antall\": 1, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-03-08T00:00:00\", \"Kumulativt antall\": 2, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-03-09T00:00:00\", \"Kumulativt antall\": 5, \"Nye sykehusinnlegelser\": 3}, {\"Dato\": \"2020-03-10T00:00:00\", \"Kumulativt antall\": 12, \"Nye sykehusinnlegelser\": 7}, {\"Dato\": \"2020-03-11T00:00:00\", \"Kumulativt antall\": 20, \"Nye sykehusinnlegelser\": 8}, {\"Dato\": \"2020-03-12T00:00:00\", \"Kumulativt antall\": 24, \"Nye sykehusinnlegelser\": 4}, {\"Dato\": \"2020-03-13T00:00:00\", \"Kumulativt antall\": 33, \"Nye sykehusinnlegelser\": 9}, {\"Dato\": \"2020-03-14T00:00:00\", \"Kumulativt antall\": 44, \"Nye sykehusinnlegelser\": 11}, {\"Dato\": \"2020-03-15T00:00:00\", \"Kumulativt antall\": 52, \"Nye sykehusinnlegelser\": 8}, {\"Dato\": \"2020-03-16T00:00:00\", \"Kumulativt antall\": 71, \"Nye sykehusinnlegelser\": 19}, {\"Dato\": \"2020-03-17T00:00:00\", \"Kumulativt antall\": 90, \"Nye sykehusinnlegelser\": 19}, {\"Dato\": \"2020-03-18T00:00:00\", \"Kumulativt antall\": 114, \"Nye sykehusinnlegelser\": 24}, {\"Dato\": \"2020-03-19T00:00:00\", \"Kumulativt antall\": 152, \"Nye sykehusinnlegelser\": 38}, {\"Dato\": \"2020-03-20T00:00:00\", \"Kumulativt antall\": 184, \"Nye sykehusinnlegelser\": 32}, {\"Dato\": \"2020-03-21T00:00:00\", \"Kumulativt antall\": 212, \"Nye sykehusinnlegelser\": 28}, {\"Dato\": \"2020-03-22T00:00:00\", \"Kumulativt antall\": 240, \"Nye sykehusinnlegelser\": 28}, {\"Dato\": \"2020-03-23T00:00:00\", \"Kumulativt antall\": 283, \"Nye sykehusinnlegelser\": 43}, {\"Dato\": \"2020-03-24T00:00:00\", \"Kumulativt antall\": 329, \"Nye sykehusinnlegelser\": 46}, {\"Dato\": \"2020-03-25T00:00:00\", \"Kumulativt antall\": 389, \"Nye sykehusinnlegelser\": 60}, {\"Dato\": \"2020-03-26T00:00:00\", \"Kumulativt antall\": 434, \"Nye sykehusinnlegelser\": 45}, {\"Dato\": \"2020-03-27T00:00:00\", \"Kumulativt antall\": 470, \"Nye sykehusinnlegelser\": 36}, {\"Dato\": \"2020-03-28T00:00:00\", \"Kumulativt antall\": 504, \"Nye sykehusinnlegelser\": 34}, {\"Dato\": \"2020-03-29T00:00:00\", \"Kumulativt antall\": 528, \"Nye sykehusinnlegelser\": 24}, {\"Dato\": \"2020-03-30T00:00:00\", \"Kumulativt antall\": 561, \"Nye sykehusinnlegelser\": 33}, {\"Dato\": \"2020-03-31T00:00:00\", \"Kumulativt antall\": 599, \"Nye sykehusinnlegelser\": 38}, {\"Dato\": \"2020-04-01T00:00:00\", \"Kumulativt antall\": 626, \"Nye sykehusinnlegelser\": 27}, {\"Dato\": \"2020-04-02T00:00:00\", \"Kumulativt antall\": 663, \"Nye sykehusinnlegelser\": 37}, {\"Dato\": \"2020-04-03T00:00:00\", \"Kumulativt antall\": 684, \"Nye sykehusinnlegelser\": 21}, {\"Dato\": \"2020-04-04T00:00:00\", \"Kumulativt antall\": 711, \"Nye sykehusinnlegelser\": 27}, {\"Dato\": \"2020-04-05T00:00:00\", \"Kumulativt antall\": 725, \"Nye sykehusinnlegelser\": 14}, {\"Dato\": \"2020-04-06T00:00:00\", \"Kumulativt antall\": 744, \"Nye sykehusinnlegelser\": 19}, {\"Dato\": \"2020-04-07T00:00:00\", \"Kumulativt antall\": 758, \"Nye sykehusinnlegelser\": 14}, {\"Dato\": \"2020-04-08T00:00:00\", \"Kumulativt antall\": 780, \"Nye sykehusinnlegelser\": 22}, {\"Dato\": \"2020-04-09T00:00:00\", \"Kumulativt antall\": 790, \"Nye sykehusinnlegelser\": 10}, {\"Dato\": \"2020-04-10T00:00:00\", \"Kumulativt antall\": 796, \"Nye sykehusinnlegelser\": 6}, {\"Dato\": \"2020-04-11T00:00:00\", \"Kumulativt antall\": 807, \"Nye sykehusinnlegelser\": 11}, {\"Dato\": \"2020-04-12T00:00:00\", \"Kumulativt antall\": 816, \"Nye sykehusinnlegelser\": 9}, {\"Dato\": \"2020-04-13T00:00:00\", \"Kumulativt antall\": 826, \"Nye sykehusinnlegelser\": 10}, {\"Dato\": \"2020-04-14T00:00:00\", \"Kumulativt antall\": 837, \"Nye sykehusinnlegelser\": 11}, {\"Dato\": \"2020-04-15T00:00:00\", \"Kumulativt antall\": 849, \"Nye sykehusinnlegelser\": 12}, {\"Dato\": \"2020-04-16T00:00:00\", \"Kumulativt antall\": 853, \"Nye sykehusinnlegelser\": 4}, {\"Dato\": \"2020-04-17T00:00:00\", \"Kumulativt antall\": 868, \"Nye sykehusinnlegelser\": 15}, {\"Dato\": \"2020-04-18T00:00:00\", \"Kumulativt antall\": 877, \"Nye sykehusinnlegelser\": 9}, {\"Dato\": \"2020-04-19T00:00:00\", \"Kumulativt antall\": 882, \"Nye sykehusinnlegelser\": 5}, {\"Dato\": \"2020-04-20T00:00:00\", \"Kumulativt antall\": 887, \"Nye sykehusinnlegelser\": 5}, {\"Dato\": \"2020-04-21T00:00:00\", \"Kumulativt antall\": 891, \"Nye sykehusinnlegelser\": 4}, {\"Dato\": \"2020-04-22T00:00:00\", \"Kumulativt antall\": 899, \"Nye sykehusinnlegelser\": 8}, {\"Dato\": \"2020-04-23T00:00:00\", \"Kumulativt antall\": 904, \"Nye sykehusinnlegelser\": 5}, {\"Dato\": \"2020-04-24T00:00:00\", \"Kumulativt antall\": 912, \"Nye sykehusinnlegelser\": 8}, {\"Dato\": \"2020-04-25T00:00:00\", \"Kumulativt antall\": 916, \"Nye sykehusinnlegelser\": 4}, {\"Dato\": \"2020-04-26T00:00:00\", \"Kumulativt antall\": 922, \"Nye sykehusinnlegelser\": 6}, {\"Dato\": \"2020-04-27T00:00:00\", \"Kumulativt antall\": 924, \"Nye sykehusinnlegelser\": 2}, {\"Dato\": \"2020-04-28T00:00:00\", \"Kumulativt antall\": 931, \"Nye sykehusinnlegelser\": 7}, {\"Dato\": \"2020-04-29T00:00:00\", \"Kumulativt antall\": 931, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-04-30T00:00:00\", \"Kumulativt antall\": 933, \"Nye sykehusinnlegelser\": 2}, {\"Dato\": \"2020-05-01T00:00:00\", \"Kumulativt antall\": 935, \"Nye sykehusinnlegelser\": 2}, {\"Dato\": \"2020-05-02T00:00:00\", \"Kumulativt antall\": 937, \"Nye sykehusinnlegelser\": 2}, {\"Dato\": \"2020-05-03T00:00:00\", \"Kumulativt antall\": 938, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-05-04T00:00:00\", \"Kumulativt antall\": 940, \"Nye sykehusinnlegelser\": 2}, {\"Dato\": \"2020-05-05T00:00:00\", \"Kumulativt antall\": 943, \"Nye sykehusinnlegelser\": 3}, {\"Dato\": \"2020-05-06T00:00:00\", \"Kumulativt antall\": 947, \"Nye sykehusinnlegelser\": 4}, {\"Dato\": \"2020-05-07T00:00:00\", \"Kumulativt antall\": 949, \"Nye sykehusinnlegelser\": 2}, {\"Dato\": \"2020-05-08T00:00:00\", \"Kumulativt antall\": 953, \"Nye sykehusinnlegelser\": 4}, {\"Dato\": \"2020-05-09T00:00:00\", \"Kumulativt antall\": 954, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-05-10T00:00:00\", \"Kumulativt antall\": 955, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-05-11T00:00:00\", \"Kumulativt antall\": 957, \"Nye sykehusinnlegelser\": 2}, {\"Dato\": \"2020-05-12T00:00:00\", \"Kumulativt antall\": 960, \"Nye sykehusinnlegelser\": 3}, {\"Dato\": \"2020-05-13T00:00:00\", \"Kumulativt antall\": 963, \"Nye sykehusinnlegelser\": 3}, {\"Dato\": \"2020-05-14T00:00:00\", \"Kumulativt antall\": 965, \"Nye sykehusinnlegelser\": 2}, {\"Dato\": \"2020-05-15T00:00:00\", \"Kumulativt antall\": 966, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-05-16T00:00:00\", \"Kumulativt antall\": 966, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-05-17T00:00:00\", \"Kumulativt antall\": 966, \"Nye sykehusinnlegelser\": 0}, {\"Dato\": \"2020-05-18T00:00:00\", \"Kumulativt antall\": 971, \"Nye sykehusinnlegelser\": 5}, {\"Dato\": \"2020-05-19T00:00:00\", \"Kumulativt antall\": 972, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": \"2020-05-20T00:00:00\", \"Kumulativt antall\": 973, \"Nye sykehusinnlegelser\": 1}, {\"Dato\": 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       "</script>"
      ],
      "text/plain": [
       "alt.VConcatChart(...)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "monthly_hospital = (\n",
    "    alt.Chart(admissions)\n",
    "    .mark_line()\n",
    "    .transform_window(\n",
    "        frame=[-30, 0],\n",
    "        admissions=\"mean(Nye sykehusinnlegelser)\",\n",
    "    )\n",
    "    .encode(\n",
    "        x=\"Dato\",\n",
    "        y=\"admissions:Q\",\n",
    "    )\n",
    ")\n",
    "\n",
    "alt.vconcat(monthly_hospital, weekly)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "28e4ad9c-c631-4bf6-8883-78171f9c3a0f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  #altair-viz-e9af1408b4bb411fa1cdbd8250b26edb.vega-embed details summary {\n",
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       "</style>\n",
       "<div id=\"altair-viz-e9af1408b4bb411fa1cdbd8250b26edb\"></div>\n",
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       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
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       "    let outputDiv = document.currentScript.previousElementSibling;\n",
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       "      outputDiv = document.getElementById(\"altair-viz-e9af1408b4bb411fa1cdbd8250b26edb\");\n",
       "    }\n",
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       "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.8.0?noext\",\n",
       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
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       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
       "      return (VEGA_DEBUG[key] == version) ?\n",
       "        Promise.resolve(paths[lib]) :\n",
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       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
       "      throw err;\n",
       "    }\n",
       "\n",
       "    function displayChart(vegaEmbed) {\n",
       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
       "    }\n",
       "\n",
       "    if(typeof define === \"function\" && define.amd) {\n",
       "      requirejs.config({paths});\n",
       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
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       "      maybeLoadScript(\"vega\", \"5\")\n",
       "        .then(() => maybeLoadScript(\"vega-lite\", \"5.8.0\"))\n",
       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
       "        .catch(showError)\n",
       "        .then(() => displayChart(vegaEmbed));\n",
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