diff --git a/notebooks/examples/italy-covid-19.ipynb b/notebooks/examples/italy-covid-19.ipynb
index 9b38f6dde0569104a69572b9b99f4bb8248e13b4..03cbf73d4e6a6d90b01fb33782079ff531f26d42 100644
--- a/notebooks/examples/italy-covid-19.ipynb
+++ b/notebooks/examples/italy-covid-19.ipynb
@@ -25,8 +25,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import ipywidgets as widgets\n",
-    "\n",
     "import pandas as pd\n",
     "import altair as alt\n",
     "\n",
@@ -814,4 +812,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}
\ No newline at end of file
diff --git a/notebooks/process/standardize_datasets.ipynb b/notebooks/process/standardize_datasets.ipynb
index af00ae37762bf09edf17e8cfc85aff1e05eb5130..1e406b6f2d290fd3854724471d11ad4c6e6045e8 100644
--- a/notebooks/process/standardize_datasets.ipynb
+++ b/notebooks/process/standardize_datasets.ipynb
@@ -47,20 +47,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "output_type": "stream",
      "name": "stdout",
-     "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"
+     "text": "Using <covid_19_dashboard.converters.switzerland.OpenZHCaseConverter object at 0x11fcb6390> for ../../data/openzh-covid-19\nUsing <covid_19_dashboard.converters.italy.ItalyRegionalCaseConverter object at 0x11fcb6310> for ../../data/covid-19-italy/dpc-covid19-ita-regioni.csv\nUsing <covid_19_dashboard.converters.covidtracking.CovidtrackingCaseConverter object at 0x11fcb6250> for ../../data/covidtracking/\nUsing <covid_19_dashboard.converters.spain.SpainCaseConverter object at 0x11fcb6450> for ../../data/covid-19-spain\nUsing <covid_19_dashboard.converters.jhu.JhuCsseGlobalCaseConverter object at 0x11fcb6410> for ../../data/covid-19_jhu-csse/\n"
     }
    ],
    "source": [
     "df_list = []\n",
     "for path in [\n",
     "    '../../data/openzh-covid-19', \n",
-    "    '../../data/covid-19-italy', \n",
+    "    '../../data/covid-19-italy/dpc-covid19-ita-regioni.csv', \n",
     "    '../../data/covidtracking/', \n",
     "    '../../data/covid-19-spain',\n",
     "    \"../../data/covid-19_jhu-csse/\"\n",
@@ -72,7 +72,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -82,7 +82,7 @@
       "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
+     "execution_count": 7
     }
    ],
    "source": [
@@ -91,27 +91,7 @@
   },
   {
    "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,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -120,17 +100,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "output_type": "execute_result",
      "data": {
-      "text/html": "\n<div id=\"altair-viz-39ba92d5bd424fa2a30bce33ed063ef0\"></div>\n<script type=\"text/javascript\">\n  (function(spec, embedOpt){\n    const outputDiv = document.getElementById(\"altair-viz-39ba92d5bd424fa2a30bce33ed063ef0\");\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@4.0.2?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function loadScript(lib) {\n      return new Promise(function(resolve, reject) {\n        var s = document.createElement('script');\n        s.src = paths[lib];\n        s.async = true;\n        s.onload = () => resolve(paths[lib]);\n        s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n        document.getElementsByTagName(\"head\")[0].appendChild(s);\n      });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${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: ${err.message}`));\n    } else if (typeof vegaEmbed === \"function\") {\n      displayChart(vegaEmbed);\n    } else {\n      loadScript(\"vega\")\n        .then(() => loadScript(\"vega-lite\"))\n        .then(() => loadScript(\"vega-embed\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"hconcat\": [{\"mark\": \"line\", \"encoding\": {\"color\": {\"type\": \"nominal\", \"field\": \"region_label\"}, \"opacity\": {\"condition\": {\"value\": 1, \"selection\": \"selector001\"}, \"value\": 0.2}, \"x\": {\"type\": \"temporal\", \"field\": \"date\", \"title\": \"Date\"}, \"y\": {\"type\": \"quantitative\", \"field\": \"positive_100k\", \"scale\": {\"type\": \"symlog\"}, \"title\": \"Cases per 100k\"}}, \"height\": 300, \"selection\": {\"selector001\": {\"type\": \"multi\", \"fields\": [\"region_label\"], \"bind\": \"legend\"}}, \"width\": 300}, {\"mark\": \"line\", \"encoding\": {\"color\": {\"type\": \"nominal\", \"field\": \"region_label\"}, \"opacity\": {\"condition\": {\"value\": 1, \"selection\": \"selector001\"}, \"value\": 0.2}, \"x\": {\"type\": \"temporal\", \"field\": \"date\", \"title\": \"Date\"}, \"y\": {\"type\": \"quantitative\", \"field\": \"deceased_100k\", \"scale\": {\"type\": \"symlog\"}, \"title\": \"Deaths per 100k\"}}, \"height\": 300, \"selection\": {\"selector001\": {\"type\": \"multi\", \"fields\": [\"region_label\"], \"bind\": \"legend\"}}, \"width\": 300}], \"data\": {\"name\": \"data-f0ffc72d901c0351e1fad8d2d34ad4b3\"}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.0.2.json\", \"datasets\": {\"data-f0ffc72d901c0351e1fad8d2d34ad4b3\": [{\"date\": \"2020-02-25T00:00:00\", \"country\": \"CHE\", \"country_label\": \"Switzerland\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": null, \"positive\": 1.0, \"deceased\": null, \"positive_100k\": 0.2830111251673303, \"deceased_100k\": null}, {\"date\": \"2020-02-26T00:00:00\", \"country\": \"CHE\", \"country_label\": \"Switzerland\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": null, \"positive\": null, \"deceased\": null, \"positive_100k\": null, \"deceased_100k\": null}, {\"date\": \"2020-02-27T00:00:00\", \"country\": \"CHE\", \"country_label\": \"Switzerland\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": null, \"positive\": null, \"deceased\": null, \"positive_100k\": null, \"deceased_100k\": null}, {\"date\": \"2020-02-28T00:00:00\", \"country\": \"CHE\", \"country_label\": \"Switzerland\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": null, \"positive\": null, \"deceased\": null, \"positive_100k\": null, \"deceased_100k\": null}, {\"date\": \"2020-02-29T00:00:00\", \"country\": \"CHE\", \"country_label\": \"Switzerland\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": null, \"positive\": null, \"deceased\": null, \"positive_100k\": null, \"deceased_100k\": null}, {\"date\": \"2020-03-01T00:00:00\", \"country\": \"CHE\", \"country_label\": \"Switzerland\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": null, \"positive\": null, \"deceased\": null, \"positive_100k\": null, \"deceased_100k\": null}, {\"date\": \"2020-03-02T00:00:00\", \"country\": \"CHE\", \"country_label\": \"Switzerland\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": null, \"positive\": 2.0, \"deceased\": null, \"positive_100k\": 0.5660222503346606, \"deceased_100k\": null}, {\"date\": \"2020-03-03T00:00:00\", \"country\": \"CHE\", \"country_label\": \"Switzerland\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": null, \"positive\": 4.0, \"deceased\": null, \"positive_100k\": 1.1320445006693212, \"deceased_100k\": null}, {\"date\": \"2020-03-04T00:00:00\", \"country\": \"CHE\", \"country_label\": \"Switzerland\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": null, \"positive\": 5.0, \"deceased\": null, \"positive_100k\": 1.4150556258366518, \"deceased_100k\": null}, {\"date\": \"2020-03-05T00:00:00\", \"country\": \"CHE\", \"country_label\": \"Switzerland\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": null, \"positive\": null, \"deceased\": null, \"positive_100k\": null, \"deceased_100k\": null}, {\"date\": \"2020-03-06T00:00:00\", \"country\": \"CHE\", \"country_label\": \"Switzerland\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": null, \"positive\": null, \"deceased\": null, \"positive_100k\": null, \"deceased_100k\": null}, {\"date\": \"2020-03-07T00:00:00\", \"country\": \"CHE\", \"country_label\": \"Switzerland\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": null, \"positive\": null, \"deceased\": null, \"positive_100k\": null, \"deceased_100k\": null}, {\"date\": \"2020-03-08T00:00:00\", \"country\": \"CHE\", \"country_label\": \"Switzerland\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": null, \"positive\": null, \"deceased\": null, \"positive_100k\": null, \"deceased_100k\": null}, {\"date\": \"2020-03-09T00:00:00\", 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       "text/plain": "alt.HConcatChart(...)"
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@@ -169,17 +149,17 @@
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   {
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-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
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\"admin2\": \"\", \"admin2_label\": \"\", \"tested\": 65462, \"positive\": 4896.0, \"deceased\": 195.0, \"positive_100k\": 68.28117619346668, \"deceased_100k\": 2.7195321400584156, \"sinceDay0\": 27}, {\"index\": 3038, \"date\": \"2020-04-01T00:00:00\", \"country\": \"USA\", \"country_label\": \"United States of America\", \"region_iso\": \"US-WA\", \"region_label\": \"Washington\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": 66200, \"positive\": 5634.0, \"deceased\": 224.0, \"positive_100k\": 78.57355936968776, \"deceased_100k\": 3.1239753814004363, \"sinceDay0\": 28}, {\"index\": 3037, \"date\": \"2020-04-02T00:00:00\", \"country\": \"USA\", \"country_label\": \"United States of America\", \"region_iso\": \"US-WA\", \"region_label\": \"Washington\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": 74798, \"positive\": 5984.0, \"deceased\": 247.0, \"positive_100k\": 83.45477090312595, \"deceased_100k\": 3.4447407107406596, \"sinceDay0\": 29}, {\"index\": 3036, \"date\": \"2020-04-03T00:00:00\", \"country\": \"USA\", \"country_label\": \"United States of America\", \"region_iso\": \"US-WA\", \"region_label\": \"Washington\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": 79418, \"positive\": 6585.0, \"deceased\": 262.0, \"positive_100k\": 91.83650842197264, \"deceased_100k\": 3.6539354907451536, \"sinceDay0\": 30}, {\"index\": 3035, \"date\": \"2020-04-04T00:00:00\", \"country\": \"USA\", \"country_label\": \"United States of America\", \"region_iso\": \"US-WA\", \"region_label\": \"Washington\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": 82599, \"positive\": 6966.0, \"deceased\": 284.0, \"positive_100k\": 97.15005583408679, \"deceased_100k\": 3.96075450141841, \"sinceDay0\": 31}, {\"index\": 3034, \"date\": \"2020-04-05T00:00:00\", \"country\": \"USA\", \"country_label\": \"United States of America\", \"region_iso\": \"US-WA\", \"region_label\": \"Washington\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": 87918, \"positive\": 7591.0, \"deceased\": 310.0, \"positive_100k\": 105.86650500094069, \"deceased_100k\": 4.323358786759533, \"sinceDay0\": 32}, {\"index\": 3033, \"date\": \"2020-04-06T00:00:00\", \"country\": \"USA\", \"country_label\": \"United States of America\", \"region_iso\": \"US-WA\", \"region_label\": \"Washington\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": 91375, \"positive\": 7984.0, \"deceased\": 338.0, \"positive_100k\": 111.3474082370584, \"deceased_100k\": 4.713855709434587, \"sinceDay0\": 33}, {\"index\": 413, \"date\": \"2020-03-27T00:00:00\", \"country\": \"CHE\", \"country_label\": \"Switzerland\", \"region_iso\": \"CH-ZH\", \"region_label\": \"Z\\u00fcrich\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": null, \"positive\": 1578.0, \"deceased\": 11.0, \"positive_100k\": 103.74971728530778, \"deceased_100k\": 0.723223631266404, \"sinceDay0\": 0}, {\"index\": 414, \"date\": \"2020-03-28T00:00:00\", \"country\": \"CHE\", \"country_label\": \"Switzerland\", \"region_iso\": \"CH-ZH\", \"region_label\": \"Z\\u00fcrich\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": null, \"positive\": 1720.0, \"deceased\": 15.0, \"positive_100k\": 113.08587688892862, \"deceased_100k\": 0.9862140426360054, \"sinceDay0\": 1}, {\"index\": 415, \"date\": \"2020-03-29T00:00:00\", \"country\": \"CHE\", \"country_label\": \"Switzerland\", \"region_iso\": \"CH-ZH\", \"region_label\": \"Z\\u00fcrich\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": null, \"positive\": 1758.0, \"deceased\": 15.0, \"positive_100k\": 115.58428579693985, \"deceased_100k\": 0.9862140426360054, \"sinceDay0\": 2}, {\"index\": 416, \"date\": \"2020-03-30T00:00:00\", \"country\": \"CHE\", \"country_label\": \"Switzerland\", \"region_iso\": \"CH-ZH\", \"region_label\": \"Z\\u00fcrich\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": null, \"positive\": 1874.0, \"deceased\": 21.0, \"positive_100k\": 123.2110077266583, \"deceased_100k\": 1.3806996596904075, \"sinceDay0\": 3}, {\"index\": 417, \"date\": \"2020-03-31T00:00:00\", \"country\": \"CHE\", \"country_label\": \"Switzerland\", \"region_iso\": \"CH-ZH\", \"region_label\": \"Z\\u00fcrich\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": null, \"positive\": 1960.0, \"deceased\": 25.0, \"positive_100k\": 128.8653015711047, \"deceased_100k\": 1.643690071060009, \"sinceDay0\": 4}, {\"index\": 418, \"date\": \"2020-04-01T00:00:00\", \"country\": \"CHE\", \"country_label\": \"Switzerland\", \"region_iso\": \"CH-ZH\", \"region_label\": \"Z\\u00fcrich\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": null, \"positive\": 2148.0, \"deceased\": 29.0, \"positive_100k\": 141.225850905476, \"deceased_100k\": 1.9066804824296106, \"sinceDay0\": 5}, {\"index\": 419, \"date\": \"2020-04-02T00:00:00\", \"country\": \"CHE\", \"country_label\": \"Switzerland\", \"region_iso\": \"CH-ZH\", \"region_label\": \"Z\\u00fcrich\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": null, \"positive\": 2323.0, \"deceased\": 36.0, \"positive_100k\": 152.73168140289604, \"deceased_100k\": 2.366913702326413, \"sinceDay0\": 6}, {\"index\": 420, \"date\": \"2020-04-03T00:00:00\", \"country\": \"CHE\", \"country_label\": \"Switzerland\", \"region_iso\": \"CH-ZH\", \"region_label\": \"Z\\u00fcrich\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": null, \"positive\": 2452.0, \"deceased\": 38.0, \"positive_100k\": 161.2131221695657, \"deceased_100k\": 2.4984089080112137, \"sinceDay0\": 7}, {\"index\": 421, \"date\": \"2020-04-04T00:00:00\", \"country\": \"CHE\", \"country_label\": \"Switzerland\", \"region_iso\": \"CH-ZH\", \"region_label\": \"Z\\u00fcrich\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": null, \"positive\": 2492.0, \"deceased\": 41.0, \"positive_100k\": 163.8430262832617, \"deceased_100k\": 2.695651716538415, \"sinceDay0\": 8}, {\"index\": 422, \"date\": \"2020-04-05T00:00:00\", \"country\": \"CHE\", \"country_label\": \"Switzerland\", \"region_iso\": \"CH-ZH\", \"region_label\": \"Z\\u00fcrich\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": null, \"positive\": 2522.0, \"deceased\": 45.0, \"positive_100k\": 165.81545436853372, \"deceased_100k\": 2.9586421279080164, \"sinceDay0\": 9}, {\"index\": 423, \"date\": \"2020-04-06T00:00:00\", \"country\": \"CHE\", \"country_label\": \"Switzerland\", \"region_iso\": \"CH-ZH\", \"region_label\": \"Z\\u00fcrich\", \"admin2\": \"\", \"admin2_label\": \"\", \"tested\": null, \"positive\": 2590.0, \"deceased\": 48.0, \"positive_100k\": 170.28629136181695, \"deceased_100k\": 3.1558849364352177, \"sinceDay0\": 10}]}}, {\"mode\": \"vega-lite\"});\n</script>",
       "text/plain": "alt.HConcatChart(...)"
      },
      "metadata": {},
-     "execution_count": 10
+     "execution_count": 11
     }
    ],
    "source": [
@@ -212,6 +192,13 @@
     "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 d90252255cb448e558c96d8f3885deb648408597..28576987ad94395092573b9cc81e0522c1ba7f15 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
@@ -43,6 +43,7 @@ class CaseConverterImpl:
 
     conversion_dict = {}
     column_list = []
+    neg_column_list = []
     common_columns = [
         "date",
         "country",
@@ -60,7 +61,7 @@ class CaseConverterImpl:
 
     def __init__(self, atlas_folder):
         """Initialze the converter with the path to the atlas"""
-        self.atlas_folder = atlas_folder
+        self.atlas_folder = Path(atlas_folder)
 
     def can_convert(self, path):
         """Returns true if the class can convert the Dataframe."""
@@ -68,7 +69,9 @@ class CaseConverterImpl:
             df = self.read_data(path)
         except (FileNotFoundError, ValueError):
             return False
-        return all([col in df.columns for col in self.__class__.column_list])
+        return all([col in df.columns for col in self.__class__.column_list]) and all(
+            [col not in df.columns for col in self.__class__.neg_column_list]
+        )
 
     def read_data(self, path):
         """Read in the data from a directory path."""
diff --git a/src/covid-19/covid_19_dashboard/covid_19_dashboard/converters/italy.py b/src/covid-19/covid_19_dashboard/covid_19_dashboard/converters/italy.py
index 48a85458851c2df831d1eddbeba7c9e10f8d29dc..66b5673f52cc945f491e92bd7c22f952bd31acf3 100644
--- a/src/covid-19/covid_19_dashboard/covid_19_dashboard/converters/italy.py
+++ b/src/covid-19/covid_19_dashboard/covid_19_dashboard/converters/italy.py
@@ -5,12 +5,13 @@ Converters for covid-19 data from Italy.
 from pathlib import Path
 
 import pandas as pd
+import zipfile
 
 from . import CaseConverterImpl as CaseConverter
 from .. import helper
 
 
-class ItalyCaseConverter(CaseConverter):
+class ItalyRegionalCaseConverter(CaseConverter):
     """
     Converter for data from Italian Civil Protection
     and made available at https://github.com/pcm-dpc/COVID-19
@@ -29,10 +30,10 @@ class ItalyCaseConverter(CaseConverter):
 
     def convert(self, df):
         # rename the existing columns
-        df_conv = df.rename(columns=ItalyCaseConverter.conversion_dict)
+        df_conv = df.rename(columns=ItalyRegionalCaseConverter.conversion_dict)
 
         # get metadata for regions of italy
-        metadata = pd.read_csv(self.atlas_folder / 'wikidata' / 'ita-population.csv')
+        metadata = pd.read_csv(self.atlas_folder / "wikidata" / "ita-population.csv")
         metadata["istatid"] = metadata.istatid.astype(int)
         df_conv = _correct_trentino(df_conv)
         merged = pd.merge(df_conv, metadata, on="istatid").drop_duplicates()
@@ -41,7 +42,47 @@ class ItalyCaseConverter(CaseConverter):
 
     def read_data(self, path):
         """Read in the data for Italy."""
-        df = pd.read_csv(Path(path) / "dpc-covid19-ita-regioni.csv")
+        if Path(path).is_dir():
+            raise ValueError("Must specify a specific file.")
+        df = pd.read_csv(Path(path))
+        return df
+
+
+class ItalyNationalCaseConverter(CaseConverter):
+    """
+    Converter for data from Italian Civil Protection
+    and made available at https://github.com/pcm-dpc/COVID-19
+    """
+
+    conversion_dict = {
+        "data": "date",
+        "totale_casi": "positive",
+        "tamponi": "tested",
+        "deceduti": "deceased",
+        "stato": "country",
+    }
+
+    column_list = ["data", "stato", "totale_casi"]
+    neg_column_list = ["codice_regione"]
+
+    def convert(self, df):
+        # get population data from worldbank
+        zf = zipfile.ZipFile(Path("../../data/atlas") / "worldbank" / "SP.POP.TOTL.zip")
+        pop_df = pd.read_csv(
+            zf.open("API_SP.POP.TOTL_DS2_en_csv_v2_821007.csv"), skiprows=4
+        )
+        df["population"] = float(pop_df[pop_df["Country Code"] == "ITA"]["2018"])
+
+        # rename the existing columns
+        df_conv = df.rename(columns=ItalyRegionalCaseConverter.conversion_dict)
+
+        return self._set_common_columns(df_conv)
+
+    def read_data(self, path):
+        """Read in the data for Italy."""
+        if Path(path).is_dir():
+            raise ValueError("Must specify a specific file.")
+        df = pd.read_csv(Path(path))
         return df
 
 
@@ -62,4 +103,5 @@ def _correct_trentino(df):
     return df
 
 
-ItalyCaseConverter._register()
+ItalyRegionalCaseConverter._register()
+ItalyNationalCaseConverter._register()
\ No newline at end of file
diff --git a/src/covid-19/covid_19_dashboard/covid_19_dashboard/converters/switzerland.py b/src/covid-19/covid_19_dashboard/covid_19_dashboard/converters/switzerland.py
index b8f19e776ee292f54ceff7ed8d40f0e862b0c491..14c4267396567a4002dd4ccf80650f9f84880cd4 100644
--- a/src/covid-19/covid_19_dashboard/covid_19_dashboard/converters/switzerland.py
+++ b/src/covid-19/covid_19_dashboard/covid_19_dashboard/converters/switzerland.py
@@ -51,7 +51,7 @@ class OpenZHCaseConverter(CaseConverter):
         merged["country"] = "CHE"
 
         # standardize the canton names
-        merged["regionLabel"] = merged.apply(
+        merged["region_label"] = merged.apply(
             lambda row: _standardize_canton_name(row["region_label"]), axis=1
         )