diff --git a/HowBadIsMyBatch.ipynb b/HowBadIsMyBatch.ipynb
index 8e4dba5ebe7..4d7fa23b888 100644
--- a/HowBadIsMyBatch.ipynb
+++ b/HowBadIsMyBatch.ipynb
@@ -1176,7 +1176,10 @@
     "    dataFrame = DataFrameFilter().filterByCovid19(vaers)\n",
     "    dataFrame = DataFrameFilter().filterBy(dataFrame, manufacturer = manufacturer)\n",
     "    batchCodeTable = BatchCodeTableFactory._createSummationTableByVAX_LOT(dataFrame)[['ADRs']].reset_index()\n",
-    "    return batchCodeTable\n"
+    "    return batchCodeTable\n",
+    "\n",
+    "def filterColumnOfDataFrameWithRegexp(dataFrame, column, regexp):\n",
+    "    return dataFrame[dataFrame[column].apply(lambda columnValue: bool(regexp.match(columnValue)))]\n"
    ]
   },
   {
@@ -1193,9 +1196,9 @@
     "batchCodeTable = createADRsByVAX_LOTTable(vaers, \"PFIZER\\BIONTECH\")\n",
     "batchCodeTable['VAX_LOT_PREFIX'] = batchCodeTable['VAX_LOT'].str[:2]\n",
     "batchCodeTable = batchCodeTable.sort_values(by = 'VAX_LOT_PREFIX', ascending = True)\n",
-    "\n",
     "twoLetters = re.compile(r'^[a-zA-Z]{2}')\n",
-    "batchCodeTable = batchCodeTable[batchCodeTable['VAX_LOT_PREFIX'].apply(lambda vax_lot_prefix: bool(twoLetters.match(vax_lot_prefix)))]\n",
+    "batchCodeTable = filterColumnOfDataFrameWithRegexp(dataFrame = batchCodeTable, column = 'VAX_LOT_PREFIX', regexp = twoLetters)\n",
+    "batchCodeTable[batchCodeTable['VAX_LOT_PREFIX'].apply(lambda vax_lot_prefix: bool(twoLetters.match(vax_lot_prefix)))]\n",
     "batchCodeTable = batchCodeTable[batchCodeTable['VAX_LOT_PREFIX'].isin(['EN', 'EP', 'ER', 'EW', 'FA', 'FC', 'FD', 'FE', 'FH'])]\n",
     "batchCodeTable = batchCodeTable[batchCodeTable['ADRs'] > 400]\n",
     "batchCodeTable"
@@ -1212,8 +1215,7 @@
     "\n",
     "sns.set(rc = {'figure.figsize': (11.7, 8.27)})\n",
     "sns.set_theme()\n",
-    "chart = sns.stripplot(x = \"VAX_LOT_PREFIX\", y = \"ADRs\", data = batchCodeTable)\n",
-    "# _ = chart.set_xticklabels(chart.get_xticklabels(), rotation = 90)"
+    "chart = sns.stripplot(x = \"VAX_LOT_PREFIX\", y = \"ADRs\", data = batchCodeTable)"
    ]
   },
   {
@@ -1258,7 +1260,7 @@
     "\n",
     "batchCodeTable = createADRsByVAX_LOTTable(vaers, \"MODERNA\")\n",
     "modernaBatchCodePrefix = re.compile(r'^[0-9]{3}[a-zA-Z]')\n",
-    "batchCodeTable = batchCodeTable[batchCodeTable['VAX_LOT'].apply(lambda vax_lot: bool(modernaBatchCodePrefix.match(vax_lot)))]\n",
+    "batchCodeTable = filterColumnOfDataFrameWithRegexp(dataFrame = batchCodeTable, column = 'VAX_LOT', regexp = modernaBatchCodePrefix)\n",
     "batchCodeTable['CONCENTRATION'] = batchCodeTable['VAX_LOT'].str[3]\n",
     "batchCodeTable = batchCodeTable.sort_values(by = 'CONCENTRATION', ascending = True)\n",
     "batchCodeTable = batchCodeTable[batchCodeTable['ADRs'] > 400]\n",