diff --git a/HowBadIsMyBatch.ipynb b/HowBadIsMyBatch.ipynb
index 6a2efd5a818..b095492ea15 100644
--- a/HowBadIsMyBatch.ipynb
+++ b/HowBadIsMyBatch.ipynb
@@ -14,6 +14,26 @@
     "pd.set_option('display.max_columns', None)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b136967b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class DataFrameConverter:\n",
+    "    \n",
+    "    @staticmethod\n",
+    "    def convertColumnsOfDataFrameToNumerics(dataFrame, columns):\n",
+    "        for column in columns:\n",
+    "            DataFrameConverter._convertColumnOfDataFrameToNumeric(dataFrame, column)\n",
+    "\n",
+    "    @staticmethod\n",
+    "    def _convertColumnOfDataFrameToNumeric(dataFrame, column):\n",
+    "        dataFrame[column] = np.where(dataFrame[column] == 'Y', 1, 0)\n",
+    "    "
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -45,7 +65,7 @@
     "        VAERSDATA = self._read_csv(\n",
     "            file = file,\n",
     "            usecols = ['VAERS_ID', 'DIED', 'L_THREAT', 'DISABLE', 'HOSPITAL', 'ER_VISIT'])\n",
-    "        VaersDescrReader._convertColumnsOfDataFrameToNumerics(\n",
+    "        DataFrameConverter.convertColumnsOfDataFrameToNumerics(\n",
     "            VAERSDATA,\n",
     "            ['DIED', 'L_THREAT', 'DISABLE', 'HOSPITAL', 'ER_VISIT'])\n",
     "        return VAERSDATA\n",
@@ -62,16 +82,7 @@
     "            index_col = 'VAERS_ID',\n",
     "            encoding = 'latin1',\n",
     "            low_memory = False,\n",
-    "            **kwargs)\n",
-    "\n",
-    "    @staticmethod\n",
-    "    def _convertColumnsOfDataFrameToNumerics(dataFrame, columns):\n",
-    "        for column in columns:\n",
-    "            VaersDescrReader._convertColumnOfDataFrameToNumeric(dataFrame, column)\n",
-    "\n",
-    "    @staticmethod\n",
-    "    def _convertColumnOfDataFrameToNumeric(dataFrame, column):\n",
-    "        dataFrame[column] = np.where(dataFrame[column] == 'Y', 1, 0)\n"
+    "            **kwargs)\n"
    ]
   },
   {
@@ -141,7 +152,7 @@
     "class AggregationHelper:\n",
     "\n",
     "    @staticmethod\n",
-    "    def aggregateFlattenColumnsRenameColumns(dataFrame, aggFunctionsByColumn, columnNameMappingsDict):\n",
+    "    def aggregateAndFlattenColumnsAndRenameColumns(dataFrame, aggFunctionsByColumn, columnNameMappingsDict):\n",
     "        aggregatedDataFrame = dataFrame.agg(aggFunctionsByColumn)\n",
     "        AggregationHelper._flattenColumns(aggregatedDataFrame)\n",
     "        return aggregatedDataFrame.rename(columns = columnNameMappingsDict)\n",
@@ -166,7 +177,7 @@
     "        self.dataFrame = dataFrame        \n",
     "\n",
     "    def createBatchCodeTable(self):\n",
-    "        batchCodeTable = AggregationHelper.aggregateFlattenColumnsRenameColumns(\n",
+    "        batchCodeTable = AggregationHelper.aggregateAndFlattenColumnsAndRenameColumns(\n",
     "            dataFrame = self.dataFrame.groupby('VAX_LOT'),\n",
     "            aggFunctionsByColumn = {\n",
     "                'DIED': ['sum', 'size'],\n",
@@ -183,7 +194,7 @@
     "\n",
     "    # create table from https://www.howbadismybatch.com/combined.html\n",
     "    def createSevereEffectsBatchCodeTable(self):\n",
-    "        batchCodeTable = AggregationHelper.aggregateFlattenColumnsRenameColumns(\n",
+    "        batchCodeTable = AggregationHelper.aggregateAndFlattenColumnsAndRenameColumns(\n",
     "            dataFrame = self.dataFrame.groupby('VAX_LOT'),\n",
     "            aggFunctionsByColumn = {\n",
     "                'DIED': ['sum', 'size'],\n",
@@ -246,7 +257,7 @@
     "    \n",
     "    @staticmethod\n",
     "    def getDoseTable(dataFrame):\n",
-    "        doseTable = AggregationHelper.aggregateFlattenColumnsRenameColumns(\n",
+    "        doseTable = AggregationHelper.aggregateAndFlattenColumnsAndRenameColumns(\n",
     "            dataFrame = dataFrame.groupby('VAX_DOSE_SERIES'),\n",
     "            aggFunctionsByColumn = {\n",
     "                'DIED': ['sum', 'size'],\n",