diff --git a/src/HowBadIsMyBatch.ipynb b/src/HowBadIsMyBatch.ipynb
index 4c09064f351..793464623c9 100644
--- a/src/HowBadIsMyBatch.ipynb
+++ b/src/HowBadIsMyBatch.ipynb
@@ -213,8 +213,8 @@
    "outputs": [],
    "source": [
     "# df = countryCountsByBatchcode.loc[(slice(None), 'Germany'), :][['COUNTRY_COUNT_BY_VAX_LOT Clicked']].sort_values(by = 'COUNTRY_COUNT_BY_VAX_LOT Clicked', ascending = False)\n",
-    "dataframe = countryCountsByBatchcode.loc[(slice(None), 'Germany'), :].sort_values(by = 'COUNTRY_COUNT_BY_VAX_LOT Clicked', ascending = False)\n",
-    "dataframe"
+    "symptomByVaccineInPercent = countryCountsByBatchcode.loc[(slice(None), 'Germany'), :].sort_values(by = 'COUNTRY_COUNT_BY_VAX_LOT Clicked', ascending = False)\n",
+    "symptomByVaccineInPercent"
    ]
   },
   {
@@ -326,7 +326,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "OVERALL_DOSES_SHIPPED_by_LOT_NUMBER = vaccineDistributionByZipcode.groupby('LOT_NUMBER').agg(OVERALL_DOSES_SHIPPED = pd.NamedAgg(column = 'DOSES_SHIPPED', aggfunc = sum))\n",
+    "OVERALL_DOSES_SHIPPED_by_LOT_NUMBER = (\n",
+    "    vaccineDistributionByZipcode\n",
+    "        .groupby('LOT_NUMBER')\n",
+    "        .agg(OVERALL_DOSES_SHIPPED = pd.NamedAgg(column = 'DOSES_SHIPPED', aggfunc = sum)))\n",
     "OVERALL_DOSES_SHIPPED_by_LOT_NUMBER"
    ]
   },
@@ -425,6 +428,40 @@
     "IOUtils.saveDataFrameAsJson(vaccineDistributionByZipcode, '../docs/data/vaccineDistributionByZipcode/VaccineDistributionByZipcode.json')\n",
     "saveLastUpdated2HtmlFile(dateProvider.getLastUpdatedDataSource(), \"../docs/VaccineDistributionByZipcode.html\")"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3e47c62c",
+   "metadata": {},
+   "source": [
+    "# Symptoms caused by Vaccines\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6505ec4c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "symptomByVaccineInPercent = pd.read_csv(\n",
+    "    'data/ratings-1990-2022.csv',\n",
+    "    index_col = 'VAX_TYPE',\n",
+    "    usecols = lambda columnName: columnName != 'Unnamed: 0')\n",
+    "symptomByVaccineInPercent"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "90bde4c8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "symptomByVaccineInPercent.loc['COVID19'].sum()"
+   ]
   }
  ],
  "metadata": {