diff --git a/notebooks/process/standardize_datasets.ipynb b/notebooks/process/standardize_datasets.ipynb
index 4376b42fcf3d3992c4cc99f3df6ce4969427cafc..af00ae37762bf09edf17e8cfc85aff1e05eb5130 100644
--- a/notebooks/process/standardize_datasets.ipynb
+++ b/notebooks/process/standardize_datasets.ipynb
@@ -53,7 +53,7 @@
     {
      "output_type": "stream",
      "name": "stdout",
-     "text": "Using <covid_19_dashboard.converters.switzerland.OpenZHCaseConverter object at 0x110fe2d90> for ../../data/openzh-covid-19\nUsing <covid_19_dashboard.converters.italy.ItalyCaseConverter object at 0x102aafad0> for ../../data/covid-19-italy\nUsing <covid_19_dashboard.converters.covidtracking.CovidtrackingCaseConverter object at 0x102aaf650> for ../../data/covidtracking/\nUsing <covid_19_dashboard.converters.spain.SpainCaseConverter object at 0x110fe2a50> for ../../data/covid-19-spain\nUsing <covid_19_dashboard.converters.jhu.JhuCsseGlobalCaseConverter object at 0x110fe2950> for ../../data/covid-19_jhu-csse/\n"
+     "text": "Using <covid_19_dashboard.converters.switzerland.OpenZHCaseConverter object at 0x11cccf5d0> for ../../data/openzh-covid-19\nUsing <covid_19_dashboard.converters.italy.ItalyCaseConverter object at 0x11cccf550> for ../../data/covid-19-italy\nUsing <covid_19_dashboard.converters.covidtracking.CovidtrackingCaseConverter object at 0x11cccf410> for ../../data/covidtracking/\nUsing <covid_19_dashboard.converters.spain.SpainCaseConverter object at 0x11cccf590> for ../../data/covid-19-spain\nUsing <covid_19_dashboard.converters.jhu.JhuCsseGlobalCaseConverter object at 0x11cccf4d0> for ../../data/covid-19_jhu-csse/\n"
     }
    ],
    "source": [
@@ -78,8 +78,8 @@
     {
      "output_type": "execute_result",
      "data": {
-      "text/plain": "        date country region_iso region_label  tested  positive  deceased  \\\n0 2020-02-28     CHE      CH-AG       Aargau     NaN       1.0       NaN   \n1 2020-03-02     CHE      CH-AG       Aargau     NaN       2.0       NaN   \n2 2020-03-03     CHE      CH-AG       Aargau     NaN       6.0       NaN   \n3 2020-03-04     CHE      CH-AG       Aargau     NaN       7.0       NaN   \n4 2020-03-05     CHE      CH-AG       Aargau     NaN       9.0       NaN   \n\n   population  positive_100k  deceased_100k  \n0    678207.0       0.147448            NaN  \n1    678207.0       0.294895            NaN  \n2    678207.0       0.884686            NaN  \n3    678207.0       1.032133            NaN  \n4    678207.0       1.327028            NaN  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>country</th>\n      <th>region_iso</th>\n      <th>region_label</th>\n      <th>tested</th>\n      <th>positive</th>\n      <th>deceased</th>\n      <th>population</th>\n      <th>positive_100k</th>\n      <th>deceased_100k</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2020-02-28</td>\n      <td>CHE</td>\n      <td>CH-AG</td>\n      <td>Aargau</td>\n      <td>NaN</td>\n      <td>1.0</td>\n      <td>NaN</td>\n      <td>678207.0</td>\n      <td>0.147448</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2020-03-02</td>\n      <td>CHE</td>\n      <td>CH-AG</td>\n      <td>Aargau</td>\n      <td>NaN</td>\n      <td>2.0</td>\n      <td>NaN</td>\n      <td>678207.0</td>\n      <td>0.294895</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2020-03-03</td>\n      <td>CHE</td>\n      <td>CH-AG</td>\n      <td>Aargau</td>\n      <td>NaN</td>\n      <td>6.0</td>\n      <td>NaN</td>\n      <td>678207.0</td>\n      <td>0.884686</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2020-03-04</td>\n      <td>CHE</td>\n      <td>CH-AG</td>\n      <td>Aargau</td>\n      <td>NaN</td>\n      <td>7.0</td>\n      <td>NaN</td>\n      <td>678207.0</td>\n      <td>1.032133</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2020-03-05</td>\n      <td>CHE</td>\n      <td>CH-AG</td>\n      <td>Aargau</td>\n      <td>NaN</td>\n      <td>9.0</td>\n      <td>NaN</td>\n      <td>678207.0</td>\n      <td>1.327028</td>\n      <td>NaN</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "        date country country_label region_iso region_label admin2  \\\n0 2020-02-28     CHE   Switzerland      CH-AG       Aargau          \n1 2020-03-02     CHE   Switzerland      CH-AG       Aargau          \n2 2020-03-03     CHE   Switzerland      CH-AG       Aargau          \n3 2020-03-04     CHE   Switzerland      CH-AG       Aargau          \n4 2020-03-05     CHE   Switzerland      CH-AG       Aargau          \n\n  admin2_label tested  positive  deceased  positive_100k  deceased_100k  \n0                 NaN       1.0       NaN       0.147448            NaN  \n1                 NaN       2.0       NaN       0.294895            NaN  \n2                 NaN       6.0       NaN       0.884686            NaN  \n3                 NaN       7.0       NaN       1.032133            NaN  \n4                 NaN       9.0       NaN       1.327028            NaN  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>country</th>\n      <th>country_label</th>\n      <th>region_iso</th>\n      <th>region_label</th>\n      <th>admin2</th>\n      <th>admin2_label</th>\n      <th>tested</th>\n      <th>positive</th>\n      <th>deceased</th>\n      <th>positive_100k</th>\n      <th>deceased_100k</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2020-02-28</td>\n      <td>CHE</td>\n      <td>Switzerland</td>\n      <td>CH-AG</td>\n      <td>Aargau</td>\n      <td></td>\n      <td></td>\n      <td>NaN</td>\n      <td>1.0</td>\n      <td>NaN</td>\n      <td>0.147448</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2020-03-02</td>\n      <td>CHE</td>\n      <td>Switzerland</td>\n      <td>CH-AG</td>\n      <td>Aargau</td>\n      <td></td>\n      <td></td>\n      <td>NaN</td>\n      <td>2.0</td>\n      <td>NaN</td>\n      <td>0.294895</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2020-03-03</td>\n      <td>CHE</td>\n      <td>Switzerland</td>\n      <td>CH-AG</td>\n      <td>Aargau</td>\n      <td></td>\n      <td></td>\n      <td>NaN</td>\n      <td>6.0</td>\n      <td>NaN</td>\n      <td>0.884686</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2020-03-04</td>\n      <td>CHE</td>\n      <td>Switzerland</td>\n      <td>CH-AG</td>\n      <td>Aargau</td>\n      <td></td>\n      <td></td>\n      <td>NaN</td>\n      <td>7.0</td>\n      <td>NaN</td>\n      <td>1.032133</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2020-03-05</td>\n      <td>CHE</td>\n      <td>Switzerland</td>\n      <td>CH-AG</td>\n      <td>Aargau</td>\n      <td></td>\n      <td></td>\n      <td>NaN</td>\n      <td>9.0</td>\n      <td>NaN</td>\n      <td>1.327028</td>\n      <td>NaN</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
      "metadata": {},
      "execution_count": 5
@@ -93,6 +93,26 @@
    "cell_type": "code",
    "execution_count": 6,
    "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": "            date country country_label region_iso        region_label admin2  \\\n0     2020-02-28     CHE   Switzerland      CH-AG              Aargau          \n1     2020-03-02     CHE   Switzerland      CH-AG              Aargau          \n2     2020-03-03     CHE   Switzerland      CH-AG              Aargau          \n3     2020-03-04     CHE   Switzerland      CH-AG              Aargau          \n4     2020-03-05     CHE   Switzerland      CH-AG              Aargau          \n...          ...     ...           ...        ...                 ...    ...   \n14281 2020-03-30     UZB                      UZB          Uzbekistan          \n14282 2020-03-30     VNM                      VNM             Vietnam          \n14283 2020-03-30     PSE                      PSE  West Bank and Gaza          \n14284 2020-03-30     ZMB                      ZMB              Zambia          \n14285 2020-03-30     ZWE                      ZWE            Zimbabwe          \n\n      admin2_label tested  positive  deceased  positive_100k  deceased_100k  \n0                     NaN       1.0       NaN       0.147448            NaN  \n1                     NaN       2.0       NaN       0.294895            NaN  \n2                     NaN       6.0       NaN       0.884686            NaN  \n3                     NaN       7.0       NaN       1.032133            NaN  \n4                     NaN       9.0       NaN       1.327028            NaN  \n...            ...    ...       ...       ...            ...            ...  \n14281                         149.0       2.0       0.452126       0.006069  \n14282                         203.0       0.0       0.212476       0.000000  \n14283                         116.0       1.0       2.538800       0.021886  \n14284                          35.0       0.0       0.201708       0.000000  \n14285                           7.0       1.0       0.048480       0.006926  \n\n[14286 rows x 12 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>country</th>\n      <th>country_label</th>\n      <th>region_iso</th>\n      <th>region_label</th>\n      <th>admin2</th>\n      <th>admin2_label</th>\n      <th>tested</th>\n      <th>positive</th>\n      <th>deceased</th>\n      <th>positive_100k</th>\n      <th>deceased_100k</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2020-02-28</td>\n      <td>CHE</td>\n      <td>Switzerland</td>\n      <td>CH-AG</td>\n      <td>Aargau</td>\n      <td></td>\n      <td></td>\n      <td>NaN</td>\n      <td>1.0</td>\n      <td>NaN</td>\n      <td>0.147448</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2020-03-02</td>\n      <td>CHE</td>\n      <td>Switzerland</td>\n      <td>CH-AG</td>\n      <td>Aargau</td>\n      <td></td>\n      <td></td>\n      <td>NaN</td>\n      <td>2.0</td>\n      <td>NaN</td>\n      <td>0.294895</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2020-03-03</td>\n      <td>CHE</td>\n      <td>Switzerland</td>\n      <td>CH-AG</td>\n      <td>Aargau</td>\n      <td></td>\n      <td></td>\n      <td>NaN</td>\n      <td>6.0</td>\n      <td>NaN</td>\n      <td>0.884686</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2020-03-04</td>\n      <td>CHE</td>\n      <td>Switzerland</td>\n      <td>CH-AG</td>\n      <td>Aargau</td>\n      <td></td>\n      <td></td>\n      <td>NaN</td>\n      <td>7.0</td>\n      <td>NaN</td>\n      <td>1.032133</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2020-03-05</td>\n      <td>CHE</td>\n      <td>Switzerland</td>\n      <td>CH-AG</td>\n      <td>Aargau</td>\n      <td></td>\n      <td></td>\n      <td>NaN</td>\n      <td>9.0</td>\n      <td>NaN</td>\n      <td>1.327028</td>\n      <td>NaN</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>14281</th>\n      <td>2020-03-30</td>\n      <td>UZB</td>\n      <td></td>\n      <td>UZB</td>\n      <td>Uzbekistan</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>149.0</td>\n      <td>2.0</td>\n      <td>0.452126</td>\n      <td>0.006069</td>\n    </tr>\n    <tr>\n      <th>14282</th>\n      <td>2020-03-30</td>\n      <td>VNM</td>\n      <td></td>\n      <td>VNM</td>\n      <td>Vietnam</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>203.0</td>\n      <td>0.0</td>\n      <td>0.212476</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>14283</th>\n      <td>2020-03-30</td>\n      <td>PSE</td>\n      <td></td>\n      <td>PSE</td>\n      <td>West Bank and Gaza</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>116.0</td>\n      <td>1.0</td>\n      <td>2.538800</td>\n      <td>0.021886</td>\n    </tr>\n    <tr>\n      <th>14284</th>\n      <td>2020-03-30</td>\n      <td>ZMB</td>\n      <td></td>\n      <td>ZMB</td>\n      <td>Zambia</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>35.0</td>\n      <td>0.0</td>\n      <td>0.201708</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>14285</th>\n      <td>2020-03-30</td>\n      <td>ZWE</td>\n      <td></td>\n      <td>ZWE</td>\n      <td>Zimbabwe</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>7.0</td>\n      <td>1.0</td>\n      <td>0.048480</td>\n      <td>0.006926</td>\n    </tr>\n  </tbody>\n</table>\n<p>14286 rows × 12 columns</p>\n</div>"
+     },
+     "metadata": {},
+     "execution_count": 6
+    }
+   ],
+   "source": [
+    "\n",
+    "df_all"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [],
    "source": [
     "regions = ['Lombardy', 'Ticino', 'Zürich', 'Madrid', 'New York', 'Washington', 'Louisiana', 'China', 'Singapore', 'Sweden']"
@@ -100,17 +120,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "output_type": "execute_result",
      "data": {
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       "text/plain": "alt.HConcatChart(...)"
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@@ -172,17 +192,17 @@
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   {
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+   "execution_count": 10,
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\"2020-03-21T00:00:00\", \"country\": \"USA\", \"country_label\": \"United States of America\", \"region_iso\": \"US-WA\", \"region_label\": \"Washington\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": 23243, \"positive\": 1524.0, \"deceased\": 83.0, \"positive_100k\": 21.254189648456542, \"deceased_100k\": 1.1575444493581972, \"sinceDay0\": 10}, {\"index\": 2386, \"date\": \"2020-03-22T00:00:00\", \"country\": \"USA\", \"country_label\": \"United States of America\", \"region_iso\": \"US-WA\", \"region_label\": \"Washington\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": 27121, \"positive\": 1793.0, \"deceased\": 94.0, \"positive_100k\": 25.005749369870458, \"deceased_100k\": 1.310953954694826, \"sinceDay0\": 11}, {\"index\": 2385, \"date\": \"2020-03-23T00:00:00\", \"country\": \"USA\", \"country_label\": \"United States of America\", \"region_iso\": \"US-WA\", \"region_label\": \"Washington\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": 30875, \"positive\": 1996.0, \"deceased\": 95.0, \"positive_100k\": 27.8368520592646, \"deceased_100k\": 1.3249002733617923, \"sinceDay0\": 12}, {\"index\": 2384, \"date\": \"2020-03-24T00:00:00\", \"country\": \"USA\", \"country_label\": \"United States of America\", \"region_iso\": \"US-WA\", \"region_label\": \"Washington\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": 33933, \"positive\": 2221.0, \"deceased\": 110.0, \"positive_100k\": 30.974773759332006, \"deceased_100k\": 1.5340950533662856, \"sinceDay0\": 13}, {\"index\": 2383, \"date\": \"2020-03-25T00:00:00\", \"country\": \"USA\", \"country_label\": \"United States of America\", \"region_iso\": \"US-WA\", \"region_label\": \"Washington\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": 34181, \"positive\": 2469.0, \"deceased\": 123.0, \"positive_100k\": 34.43346078873963, \"deceased_100k\": 1.7153971960368468, \"sinceDay0\": 14}, {\"index\": 2382, \"date\": \"2020-03-26T00:00:00\", \"country\": \"USA\", \"country_label\": \"United States of America\", \"region_iso\": \"US-WA\", \"region_label\": \"Washington\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": 34292, \"positive\": 2580.0, \"deceased\": 132.0, \"positive_100k\": 35.981502160772884, \"deceased_100k\": 1.8409140640395427, \"sinceDay0\": 15}, {\"index\": 2381, \"date\": \"2020-03-27T00:00:00\", \"country\": \"USA\", \"country_label\": \"United States of America\", \"region_iso\": \"US-WA\", \"region_label\": \"Washington\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": 46380, \"positive\": 3207.0, \"deceased\": 147.0, \"positive_100k\": 44.72584396496071, \"deceased_100k\": 2.0501088440440363, \"sinceDay0\": 16}, {\"index\": 2380, \"date\": \"2020-03-28T00:00:00\", \"country\": \"USA\", \"country_label\": \"United States of America\", \"region_iso\": \"US-WA\", \"region_label\": \"Washington\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": 52738, \"positive\": 3723.0, \"deceased\": 175.0, \"positive_100k\": 51.92214439711529, \"deceased_100k\": 2.4406057667190906, \"sinceDay0\": 17}, {\"index\": 2379, \"date\": \"2020-03-29T00:00:00\", \"country\": \"USA\", \"country_label\": \"United States of America\", \"region_iso\": \"US-WA\", \"region_label\": \"Washington\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": 59206, \"positive\": 4310.0, \"deceased\": 189.0, \"positive_100k\": 60.10863345462447, \"deceased_100k\": 2.635854228056618, \"sinceDay0\": 18}, {\"index\": 2378, \"date\": \"2020-03-30T00:00:00\", \"country\": \"USA\", \"country_label\": \"United States of America\", \"region_iso\": \"US-WA\", \"region_label\": \"Washington\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": 65462, \"positive\": 4896.0, \"deceased\": 195.0, \"positive_100k\": 68.28117619346668, \"deceased_100k\": 2.7195321400584156, \"sinceDay0\": 19}]}}, {\"mode\": \"vega-lite\"});\n</script>",
       "text/plain": "alt.HConcatChart(...)"
      },
      "metadata": {},
-     "execution_count": 9
+     "execution_count": 10
     }
    ],
    "source": [
@@ -192,13 +212,6 @@
     "days_log_100k = plotting.make_region_since_chart(base, 'deceased_100k', 'sinceDay0', 'region_label', 'Days since 10th death', 'Deaths/100k', 'Deaths/100k', 'Region')\n",
     "alt.hconcat(days_log, days_log_100k)"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
diff --git a/src/covid-19/covid_19_dashboard/covid_19_dashboard/converters/__init__.py b/src/covid-19/covid_19_dashboard/covid_19_dashboard/converters/__init__.py
index 52dea73b366cc0e72808f797b0a5c4592867f6aa..d90252255cb448e558c96d8f3885deb648408597 100644
--- a/src/covid-19/covid_19_dashboard/covid_19_dashboard/converters/__init__.py
+++ b/src/covid-19/covid_19_dashboard/covid_19_dashboard/converters/__init__.py
@@ -54,7 +54,6 @@ class CaseConverterImpl:
         "tested",
         "positive",
         "deceased",
-        "population",
         "positive_100k",
         "deceased_100k",
     ]