diff --git a/HowBadIsMyBatch.ipynb b/HowBadIsMyBatch.ipynb
index 3f351e53388..a5105c503ff 100644
--- a/HowBadIsMyBatch.ipynb
+++ b/HowBadIsMyBatch.ipynb
@@ -17,40 +17,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "7b5d6df0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def createDataFrameFromDescr(vaersDescr):\n",
-    "    return pd.merge(\n",
-    "            vaersDescr['VAERSDATA'],\n",
-    "            vaersDescr['VAERSVAX'],\n",
-    "            how = 'left',\n",
-    "            left_index = True,\n",
-    "            right_index = True,\n",
-    "            validate = 'one_to_many')\n",
-    "\n",
-    "def createDataFrameFromDescrs(vaersDescrs):\n",
-    "    dataFrames = map(createDataFrameFromDescr, vaersDescrs)\n",
-    "    return pd.concat(dataFrames)\n",
-    "\n",
-    "def filterDataFrame(df, manufacturer = None, dose = None):\n",
-    "    isCovid19 = df[\"VAX_TYPE\"] == \"COVID19\"\n",
-    "    isManufacturer = df[\"VAX_MANU\"] == manufacturer if manufacturer is not None else True\n",
-    "    isDose = df[\"VAX_DOSE_SERIES\"].str.contains(dose) if dose is not None else True\n",
-    "    return df[isCovid19 & isManufacturer & isDose]\n",
-    "\n",
-    "def createAndFilterDataFrameFromDescrs(vaersDescrs, manufacturer, dose):\n",
-    "    return filterDataFrame(createDataFrameFromDescrs(vaersDescrs), manufacturer = manufacturer, dose = dose)\n",
-    "\n",
-    "def createDataFrameSevereEffectsFromDescrs(vaersDescrs, dose):\n",
-    "    return filterDataFrame(createDataFrameFromDescrs(vaersDescrs), dose = dose)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "233bc590",
+   "id": "a271254b",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -78,8 +45,57 @@
     "        }\n",
     "\n",
     "def readVaersDescrs(dataDir, years):\n",
-    "    return [readVaersDescr(dataDir, year) for year in years]\n",
+    "    return [readVaersDescr(dataDir, year) for year in years]\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7b5d6df0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def createDataFrameFromDescr(vaersDescr):\n",
+    "    return pd.merge(\n",
+    "            vaersDescr['VAERSDATA'],\n",
+    "            vaersDescr['VAERSVAX'],\n",
+    "            how = 'left',\n",
+    "            left_index = True,\n",
+    "            right_index = True,\n",
+    "            validate = 'one_to_many')\n",
     "\n",
+    "def createDataFrameFromDescrs(vaersDescrs):\n",
+    "    dataFrames = map(createDataFrameFromDescr, vaersDescrs)\n",
+    "    return pd.concat(dataFrames)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3ebcba86",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def filterDataFrame(df, manufacturer = None, dose = None):\n",
+    "    isCovid19 = df[\"VAX_TYPE\"] == \"COVID19\"\n",
+    "    isManufacturer = df[\"VAX_MANU\"] == manufacturer if manufacturer is not None else True\n",
+    "    isDose = df[\"VAX_DOSE_SERIES\"].str.contains(dose) if dose is not None else True\n",
+    "    return df[isCovid19 & isManufacturer & isDose]\n",
+    "\n",
+    "def createAndFilterDataFrameFromDescrs(vaersDescrs, manufacturer, dose):\n",
+    "    return filterDataFrame(createDataFrameFromDescrs(vaersDescrs), manufacturer = manufacturer, dose = dose)\n",
+    "\n",
+    "def createDataFrameSevereEffectsFromDescrs(vaersDescrs, dose):\n",
+    "    return filterDataFrame(createDataFrameFromDescrs(vaersDescrs), dose = dose)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5d2d2f93",
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "def createAndFilterDataFrameFromFiles(dataDir, manufacturer, dose):\n",
     "    return createAndFilterDataFrameFromDescrs(readVaersDescrs(dataDir, [\"2021\", \"2022\"]), manufacturer, dose)\n",
     "\n",