diff --git a/notebooks/process/standardize_datasets.ipynb b/notebooks/process/standardize_datasets.ipynb
index 5cf76d3079d488168d8c34dcf4d93339f437f599..dff7b67c745897750d470c91d407c74f252e68d8 100644
--- a/notebooks/process/standardize_datasets.ipynb
+++ b/notebooks/process/standardize_datasets.ipynb
@@ -1,27 +1,4 @@
 {
- "nbformat": 4,
- "nbformat_minor": 2,
- "metadata": {
-  "language_info": {
-   "name": "python",
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "version": "3.7.7-final"
-  },
-  "orig_nbformat": 2,
-  "file_extension": ".py",
-  "mimetype": "text/x-python",
-  "name": "python",
-  "npconvert_exporter": "python",
-  "pygments_lexer": "ipython3",
-  "version": 3,
-  "kernelspec": {
-   "name": "python37764bitvenvvenv814492364d964019a25eb1cf3dc3e99c",
-   "display_name": "Python 3.7.7 64-bit ('.venv': venv)"
-  }
- },
  "cells": [
   {
    "cell_type": "code",
@@ -90,46 +67,311 @@
    "execution_count": 5,
    "metadata": {},
    "outputs": [],
+   "source": [
+    "df_usa = pd.read_json('../../data/covidtracking/states-daily.json')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "df_all = pd.DataFrame()\n",
-    "for df in [df_ch, df_ita]:\n",
+    "for df in [df_ch, df_ita, df_usa]:\n",
     "    df_all = df_all.append(CaseConverter.convert(df))\n",
     "df_all['date'] = pd.to_datetime(df_all.date)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
-      "text/plain": "                   date country region_iso          region_label   tested  \\\n0   2020-02-28 00:00:00     CHE      CH-AG                Aargau      NaN   \n1   2020-03-02 00:00:00     CHE      CH-AG                Aargau      NaN   \n2   2020-03-03 00:00:00     CHE      CH-AG                Aargau      NaN   \n3   2020-03-04 00:00:00     CHE      CH-AG                Aargau      NaN   \n4   2020-03-05 00:00:00     CHE      CH-AG                Aargau      NaN   \n..                  ...     ...        ...                   ...      ...   \n715 2020-03-26 17:00:00     ITA      IT-32  Trentino-South Tyrol  12344.0   \n716 2020-03-27 17:00:00     ITA      IT-32  Trentino-South Tyrol  13443.0   \n717 2020-03-28 17:00:00     ITA      IT-32  Trentino-South Tyrol  14729.0   \n718 2020-03-29 17:00:00     ITA      IT-32  Trentino-South Tyrol  16087.0   \n719 2020-03-30 17:00:00     ITA      IT-32  Trentino-South Tyrol  17017.0   \n\n     positive  deceased  population  positive_100k  deceased_100k  \n0         1.0       NaN      678207       0.147448            NaN  \n1         2.0       NaN      678207       0.294895            NaN  \n2         6.0       NaN      678207       0.884686            NaN  \n3         7.0       NaN      678207       1.032133            NaN  \n4         9.0       NaN      678207       1.327028            NaN  \n..        ...       ...         ...            ...            ...  \n715    2203.0     134.0     1072276     205.450835      12.496783  \n716    2394.0     162.0     1072276     223.263414      15.108051  \n717    2614.0     184.0     1072276     243.780519      17.159761  \n718    2808.0     193.0     1072276     261.872876      17.999097  \n719    3007.0     221.0     1072276     280.431531      20.610365  \n\n[1209 rows x 10 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>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 00:00:00</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</td>\n      <td>0.147448</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2020-03-02 00:00:00</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</td>\n      <td>0.294895</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2020-03-03 00:00:00</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</td>\n      <td>0.884686</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2020-03-04 00:00:00</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</td>\n      <td>1.032133</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2020-03-05 00:00:00</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</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    </tr>\n    <tr>\n      <th>715</th>\n      <td>2020-03-26 17:00:00</td>\n      <td>ITA</td>\n      <td>IT-32</td>\n      <td>Trentino-South Tyrol</td>\n      <td>12344.0</td>\n      <td>2203.0</td>\n      <td>134.0</td>\n      <td>1072276</td>\n      <td>205.450835</td>\n      <td>12.496783</td>\n    </tr>\n    <tr>\n      <th>716</th>\n      <td>2020-03-27 17:00:00</td>\n      <td>ITA</td>\n      <td>IT-32</td>\n      <td>Trentino-South Tyrol</td>\n      <td>13443.0</td>\n      <td>2394.0</td>\n      <td>162.0</td>\n      <td>1072276</td>\n      <td>223.263414</td>\n      <td>15.108051</td>\n    </tr>\n    <tr>\n      <th>717</th>\n      <td>2020-03-28 17:00:00</td>\n      <td>ITA</td>\n      <td>IT-32</td>\n      <td>Trentino-South Tyrol</td>\n      <td>14729.0</td>\n      <td>2614.0</td>\n      <td>184.0</td>\n      <td>1072276</td>\n      <td>243.780519</td>\n      <td>17.159761</td>\n    </tr>\n    <tr>\n      <th>718</th>\n      <td>2020-03-29 17:00:00</td>\n      <td>ITA</td>\n      <td>IT-32</td>\n      <td>Trentino-South Tyrol</td>\n      <td>16087.0</td>\n      <td>2808.0</td>\n      <td>193.0</td>\n      <td>1072276</td>\n      <td>261.872876</td>\n      <td>17.999097</td>\n    </tr>\n    <tr>\n      <th>719</th>\n      <td>2020-03-30 17:00:00</td>\n      <td>ITA</td>\n      <td>IT-32</td>\n      <td>Trentino-South Tyrol</td>\n      <td>17017.0</td>\n      <td>3007.0</td>\n      <td>221.0</td>\n      <td>1072276</td>\n      <td>280.431531</td>\n      <td>20.610365</td>\n    </tr>\n  </tbody>\n</table>\n<p>1209 rows × 10 columns</p>\n</div>"
+      "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",
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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>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-VS</td>\n",
+       "      <td>Valais</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>343955</td>\n",
+       "      <td>0.290736</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-02-29</td>\n",
+       "      <td>CHE</td>\n",
+       "      <td>CH-VS</td>\n",
+       "      <td>Valais</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>343955</td>\n",
+       "      <td>0.290736</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-03-01</td>\n",
+       "      <td>CHE</td>\n",
+       "      <td>CH-VS</td>\n",
+       "      <td>Valais</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>343955</td>\n",
+       "      <td>0.581471</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-03-02</td>\n",
+       "      <td>CHE</td>\n",
+       "      <td>CH-VS</td>\n",
+       "      <td>Valais</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>343955</td>\n",
+       "      <td>0.872207</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-03-03</td>\n",
+       "      <td>CHE</td>\n",
+       "      <td>CH-VS</td>\n",
+       "      <td>Valais</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>343955</td>\n",
+       "      <td>0.872207</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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1267</th>\n",
+       "      <td>2020-03-11</td>\n",
+       "      <td>USA</td>\n",
+       "      <td>US-WY</td>\n",
+       "      <td>Wyoming</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>586107</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1268</th>\n",
+       "      <td>2020-03-10</td>\n",
+       "      <td>USA</td>\n",
+       "      <td>US-WY</td>\n",
+       "      <td>Wyoming</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>586107</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1269</th>\n",
+       "      <td>2020-03-09</td>\n",
+       "      <td>USA</td>\n",
+       "      <td>US-WY</td>\n",
+       "      <td>Wyoming</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>586107</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1270</th>\n",
+       "      <td>2020-03-08</td>\n",
+       "      <td>USA</td>\n",
+       "      <td>US-WY</td>\n",
+       "      <td>Wyoming</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>586107</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1271</th>\n",
+       "      <td>2020-03-07</td>\n",
+       "      <td>USA</td>\n",
+       "      <td>US-WY</td>\n",
+       "      <td>Wyoming</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>586107</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2481 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           date country region_iso region_label  tested  positive  deceased  \\\n",
+       "0    2020-02-28     CHE      CH-VS       Valais     NaN       1.0       NaN   \n",
+       "1    2020-02-29     CHE      CH-VS       Valais     NaN       1.0       NaN   \n",
+       "2    2020-03-01     CHE      CH-VS       Valais     NaN       2.0       NaN   \n",
+       "3    2020-03-02     CHE      CH-VS       Valais     NaN       3.0       NaN   \n",
+       "4    2020-03-03     CHE      CH-VS       Valais     NaN       3.0       NaN   \n",
+       "...         ...     ...        ...          ...     ...       ...       ...   \n",
+       "1267 2020-03-11     USA      US-WY      Wyoming     0.0       0.0       NaN   \n",
+       "1268 2020-03-10     USA      US-WY      Wyoming     0.0       0.0       NaN   \n",
+       "1269 2020-03-09     USA      US-WY      Wyoming     0.0       0.0       NaN   \n",
+       "1270 2020-03-08     USA      US-WY      Wyoming     0.0       0.0       NaN   \n",
+       "1271 2020-03-07     USA      US-WY      Wyoming     0.0       0.0       NaN   \n",
+       "\n",
+       "      population  positive_100k  deceased_100k  \n",
+       "0         343955       0.290736            NaN  \n",
+       "1         343955       0.290736            NaN  \n",
+       "2         343955       0.581471            NaN  \n",
+       "3         343955       0.872207            NaN  \n",
+       "4         343955       0.872207            NaN  \n",
+       "...          ...            ...            ...  \n",
+       "1267      586107       0.000000            NaN  \n",
+       "1268      586107       0.000000            NaN  \n",
+       "1269      586107       0.000000            NaN  \n",
+       "1270      586107       0.000000            NaN  \n",
+       "1271      586107       0.000000            NaN  \n",
+       "\n",
+       "[2481 rows x 10 columns]"
+      ]
      },
+     "execution_count": 7,
      "metadata": {},
-     "execution_count": 6
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "\n",
     "df_all"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
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-      "text/plain": "alt.Chart(...)"
+      "text/html": [
+       "\n",
+       "<div id=\"altair-viz-a73f3de605f449fabf55c3905fe34b7c\"></div>\n",
+       "<script type=\"text/javascript\">\n",
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+       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
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+       "        .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",
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+       "        .then(() => displayChart(vegaEmbed));\n",
+       "    }\n",
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+      "text/plain": [
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@@ -139,24 +381,67 @@
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   {
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-   "metadata": {},
-   "outputs": [],
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-  {
-   "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 9,
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@@ -169,17 +454,67 @@
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\"tested\": 107398.0, \"positive\": 41007.0, \"deceased\": 6360.0, \"population\": 10067494, \"positive_100k\": 407.32082879810997, \"deceased_100k\": 63.17361599619528, \"sinceDay0\": 31}, {\"index\": 323, \"date\": \"2020-03-30T17:00:00\", \"country\": \"ITA\", \"region_iso\": \"IT-25\", \"region_label\": \"Lombardy\", \"tested\": 111057.0, \"positive\": 42161.0, \"deceased\": 6818.0, \"population\": 10067494, \"positive_100k\": 418.7834628955329, \"deceased_100k\": 67.72291098460053, \"sinceDay0\": 32}, {\"index\": 303, \"date\": \"2020-03-17T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"tested\": null, \"positive\": 422.0, \"deceased\": 10.0, \"population\": 353343, \"positive_100k\": 119.43069482061341, \"deceased_100k\": 2.8301112516733036, \"sinceDay0\": 0}, {\"index\": 304, \"date\": \"2020-03-18T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"tested\": null, \"positive\": 511.0, \"deceased\": 14.0, \"population\": 353343, \"positive_100k\": 144.6186849605058, \"deceased_100k\": 3.9621557523426247, \"sinceDay0\": 1}, {\"index\": 305, \"date\": \"2020-03-19T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"tested\": null, \"positive\": 638.0, \"deceased\": 15.0, \"population\": 353343, \"positive_100k\": 180.56109785675676, \"deceased_100k\": 4.245166877509955, \"sinceDay0\": 2}, {\"index\": 306, \"date\": \"2020-03-20T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"tested\": null, \"positive\": 834.0, \"deceased\": 22.0, \"population\": 353343, \"positive_100k\": 236.0312783895535, \"deceased_100k\": 6.226244753681267, \"sinceDay0\": 3}, {\"index\": 307, \"date\": \"2020-03-21T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"tested\": null, \"positive\": 918.0, \"deceased\": 28.0, \"population\": 353343, \"positive_100k\": 259.8042129036092, \"deceased_100k\": 7.9243115046852495, \"sinceDay0\": 4}, {\"index\": 308, \"date\": \"2020-03-22T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"tested\": null, \"positive\": 939.0, \"deceased\": 37.0, \"population\": 353343, \"positive_100k\": 265.74744653212315, \"deceased_100k\": 10.471411631191222, \"sinceDay0\": 5}, {\"index\": 309, \"date\": \"2020-03-23T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"tested\": null, \"positive\": 1165.0, \"deceased\": 48.0, \"population\": 353343, \"positive_100k\": 329.70796081993984, \"deceased_100k\": 13.584534008031856, \"sinceDay0\": 6}, {\"index\": 310, \"date\": \"2020-03-24T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"tested\": null, \"positive\": 1211.0, \"deceased\": 53.0, \"population\": 353343, \"positive_100k\": 342.726472577637, \"deceased_100k\": 14.999589633868506, \"sinceDay0\": 7}, {\"index\": 311, \"date\": \"2020-03-25T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"tested\": null, \"positive\": 1354.0, \"deceased\": 60.0, \"population\": 353343, \"positive_100k\": 383.19706347656523, \"deceased_100k\": 16.98066751003982, \"sinceDay0\": 8}, {\"index\": 312, \"date\": \"2020-03-26T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"tested\": null, \"positive\": 1401.0, \"deceased\": 67.0, \"population\": 353343, \"positive_100k\": 396.49858635942974, \"deceased_100k\": 18.961745386211135, \"sinceDay0\": 9}, {\"index\": 313, \"date\": \"2020-03-27T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"tested\": null, \"positive\": 1688.0, \"deceased\": 76.0, \"population\": 353343, \"positive_100k\": 477.72277928245364, \"deceased_100k\": 21.508845512717105, \"sinceDay0\": 10}, {\"index\": 314, \"date\": \"2020-03-28T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"tested\": null, \"positive\": 1727.0, \"deceased\": 87.0, \"population\": 353343, \"positive_100k\": 488.7602131639795, \"deceased_100k\": 24.621967889557737, \"sinceDay0\": 11}, {\"index\": 315, \"date\": \"2020-03-29T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"tested\": null, \"positive\": 1837.0, \"deceased\": 93.0, \"population\": 353343, \"positive_100k\": 519.8914369323858, \"deceased_100k\": 26.32003464056172, \"sinceDay0\": 12}, {\"index\": 316, \"date\": \"2020-03-30T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-TI\", \"region_label\": \"Ticino\", \"tested\": null, \"positive\": 1962.0, \"deceased\": 105.0, \"population\": 353343, \"positive_100k\": 555.2678275783021, \"deceased_100k\": 29.716168142569686, \"sinceDay0\": 13}, {\"index\": 434, \"date\": \"2020-03-20T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-VD\", \"region_label\": \"Vaud\", \"tested\": null, \"positive\": 1432.0, \"deceased\": 12.0, \"population\": 799145, \"positive_100k\": 179.19151092730357, \"deceased_100k\": 1.5016048401729347, \"sinceDay0\": 0}, {\"index\": 435, \"date\": \"2020-03-21T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-VD\", \"region_label\": \"Vaud\", \"tested\": null, \"positive\": 1676.0, \"deceased\": 15.0, \"population\": 799145, \"positive_100k\": 209.72414267748655, \"deceased_100k\": 1.8770060502161685, \"sinceDay0\": 1}, {\"index\": 436, \"date\": \"2020-03-22T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-VD\", \"region_label\": \"Vaud\", \"tested\": null, \"positive\": 1782.0, \"deceased\": 16.0, \"population\": 799145, \"positive_100k\": 222.98831876568082, \"deceased_100k\": 2.0021397868972466, \"sinceDay0\": 2}, {\"index\": 437, \"date\": \"2020-03-23T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-VD\", \"region_label\": \"Vaud\", \"tested\": null, \"positive\": 1822.0, \"deceased\": 25.0, \"population\": 799145, \"positive_100k\": 227.99366823292394, \"deceased_100k\": 3.1283434170269477, \"sinceDay0\": 3}, {\"index\": 438, \"date\": \"2020-03-24T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-VD\", \"region_label\": \"Vaud\", \"tested\": null, \"positive\": 2162.0, \"deceased\": 29.0, \"population\": 799145, \"positive_100k\": 270.5391387044904, \"deceased_100k\": 3.6288783637512587, \"sinceDay0\": 4}, {\"index\": 439, \"date\": \"2020-03-25T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-VD\", \"region_label\": \"Vaud\", \"tested\": null, \"positive\": 2215.0, \"deceased\": 36.0, \"population\": 799145, \"positive_100k\": 277.1712267485875, \"deceased_100k\": 4.504814520518805, \"sinceDay0\": 5}, {\"index\": 440, \"date\": \"2020-03-26T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-VD\", \"region_label\": \"Vaud\", \"tested\": null, \"positive\": 2532.0, \"deceased\": 47.0, \"population\": 799145, \"positive_100k\": 316.8386212764893, \"deceased_100k\": 5.881285624010661, \"sinceDay0\": 6}, {\"index\": 441, \"date\": \"2020-03-27T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-VD\", \"region_label\": \"Vaud\", \"tested\": null, \"positive\": 2745.0, \"deceased\": 48.0, \"population\": 799145, \"positive_100k\": 343.49210718955885, \"deceased_100k\": 6.006419360691739, \"sinceDay0\": 7}, {\"index\": 442, \"date\": \"2020-03-28T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-VD\", \"region_label\": \"Vaud\", \"tested\": null, \"positive\": 2936.0, \"deceased\": 55.0, \"population\": 799145, \"positive_100k\": 367.39265089564475, \"deceased_100k\": 6.882355517459285, \"sinceDay0\": 8}, {\"index\": 443, \"date\": \"2020-03-29T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-VD\", \"region_label\": \"Vaud\", \"tested\": null, \"positive\": 3168.0, \"deceased\": 66.0, \"population\": 799145, \"positive_100k\": 396.42367780565485, \"deceased_100k\": 8.258826620951142, \"sinceDay0\": 9}, {\"index\": 381, \"date\": \"2020-03-27T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-ZH\", \"region_label\": \"Z\\u00fcrich\", \"tested\": null, \"positive\": 1578.0, \"deceased\": 11.0, \"population\": 1520968, \"positive_100k\": 103.74971728530778, \"deceased_100k\": 0.723223631266404, \"sinceDay0\": 0}, {\"index\": 382, \"date\": \"2020-03-28T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-ZH\", \"region_label\": \"Z\\u00fcrich\", \"tested\": null, \"positive\": 1720.0, \"deceased\": 15.0, \"population\": 1520968, \"positive_100k\": 113.08587688892862, \"deceased_100k\": 0.9862140426360054, \"sinceDay0\": 1}, {\"index\": 383, \"date\": \"2020-03-29T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-ZH\", \"region_label\": \"Z\\u00fcrich\", \"tested\": null, \"positive\": 1758.0, \"deceased\": 15.0, \"population\": 1520968, \"positive_100k\": 115.58428579693985, \"deceased_100k\": 0.9862140426360054, \"sinceDay0\": 2}, {\"index\": 384, \"date\": \"2020-03-30T00:00:00\", \"country\": \"CHE\", \"region_iso\": \"CH-ZH\", \"region_label\": \"Z\\u00fcrich\", \"tested\": null, \"positive\": 1874.0, \"deceased\": 21.0, \"population\": 1520968, \"positive_100k\": 123.2110077266583, \"deceased_100k\": 1.3806996596904075, \"sinceDay0\": 3}]}}, {\"mode\": \"vega-lite\"});\n",
+       "</script>"
+      ],
+      "text/plain": [
+       "alt.HConcatChart(...)"
+      ]
      },
+     "execution_count": 10,
      "metadata": {},
-     "execution_count": 26
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -189,13 +524,33 @@
     "days_log_100k = plotting.make_region_since_chart(base, 'deceased_100k', 'sinceDay0', 'region_label', 'Days since 100th case', 'Deaths/100k', 'Deaths/100k', 'Region')\n",
     "alt.hconcat(days_log, days_log_100k)"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
- ]
-}
\ No newline at end of file
+ ],
+ "metadata": {
+  "file_extension": ".py",
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  },
+  "mimetype": "text/x-python",
+  "name": "python",
+  "npconvert_exporter": "python",
+  "pygments_lexer": "ipython3",
+  "version": 3
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/src/covid-19/covid_19_dashboard/covid_19_dashboard/__init__.py b/src/covid-19/covid_19_dashboard/covid_19_dashboard/__init__.py
index 157af333f16b8e145958993fab92eb54df95aad0..e14fd9fba05e21cb62f3b7aa50bc7d7b80167757 100644
--- a/src/covid-19/covid_19_dashboard/covid_19_dashboard/__init__.py
+++ b/src/covid-19/covid_19_dashboard/covid_19_dashboard/__init__.py
@@ -4,6 +4,6 @@ __author__ = """Chandrasekhar Ramakrishnan"""
 __email__ = 'cramakri@ethz.ch'
 __version__ = '0.1.0'
 
-from .converters import italy, switzerland
+from .converters import italy, switzerland, covidtracking
 
 from .helper import *
\ No newline at end of file
diff --git a/src/covid-19/covid_19_dashboard/covid_19_dashboard/converters/covidtracking.py b/src/covid-19/covid_19_dashboard/covid_19_dashboard/converters/covidtracking.py
new file mode 100644
index 0000000000000000000000000000000000000000..da04a74e8778260daff46c39842f9cda6e349ac2
--- /dev/null
+++ b/src/covid-19/covid_19_dashboard/covid_19_dashboard/converters/covidtracking.py
@@ -0,0 +1,73 @@
+"""
+Covid-19 converters for data from the covidtracking.com (USA).
+"""
+
+import pandas as pd
+
+from . import CaseConverter
+from .. import helper
+
+class CovidtrackingCaseConverter(CaseConverter):
+    """
+    Converter for data from the United States, collected by
+    the Covid tracking project https://covidtracking.com/
+    """
+
+    conversion_dict = {
+        "totalTestResults": "tested",
+        "total": "positive",
+        "death": "deceased",
+        "positive": "new_positive_tests",
+        "negative": "new_negative_tests",
+    }
+    column_list = [
+        "date",
+        "state",
+        "positive",
+        "negative",
+        "pending",
+        "hospitalized",
+        "death",
+        "total",
+        "hash",
+        "dateChecked",
+        "totalTestResults",
+        "fips",
+        "deathIncrease",
+        "hospitalizedIncrease",
+        "negativeIncrease",
+        "positiveIncrease",
+        "totalTestResultsIncrease",
+    ]
+
+    @classmethod
+    def convert(cls, df):
+        # rename the existing columns
+        df_conv = df.rename(columns=cls.conversion_dict)
+        
+        # convert date
+        df_conv["date"] = pd.to_datetime(df_conv["date"], format="%Y%m%d")
+        
+        # make states iso-3116 2 compliant
+        df_conv["region_iso"] = df_conv.apply(
+            lambda row: f'US-{row["state"]}', axis=1
+        )
+
+        # get population data for US states through right-join type operation
+        metadata = pd.DataFrame(
+            helper.get_region_populations("USA")
+        ).rename(columns={"regionLabel": "region_label"})
+        
+        merged = pd.merge(df_conv, metadata, on="region_iso", how="right")
+        
+        # add country information
+        merged["country"] = "USA"
+        
+        # calculate incidence rates
+        merged["population"] = merged.population.astype(int)
+        merged["positive_100k"] = merged["positive"] / merged["population"] * 100000
+        merged["deceased_100k"] = merged["deceased"] / merged["population"] * 100000
+
+        return merged[CaseConverter.common_columns]
+
+CovidtrackingCaseConverter._register()
\ No newline at end of file