diff --git a/HowBadIsMyBatch.ipynb b/HowBadIsMyBatch.ipynb
index ec135989ac0..c21ba2622c6 100644
--- a/HowBadIsMyBatch.ipynb
+++ b/HowBadIsMyBatch.ipynb
@@ -261,18 +261,21 @@
     "    \n",
     "    @staticmethod\n",
     "    def getDoseTable(dataFrame):\n",
-    "        return DoseAnalysis._getDoseTable(dataFrame.groupby('VAX_DOSE_SERIES'))\n",
+    "        doseTable =  DoseAnalysis._getDoseTable(dataFrame.groupby('VAX_DOSE_SERIES'))\n",
+    "        doseTable.index.set_names('Dose', inplace = True)\n",
+    "        return doseTable\n",
     "\n",
     "    @staticmethod\n",
     "    def getDoseByMonthTable(dataFrame):\n",
     "        # https://stackoverflow.com/questions/61879166/pandas-groupby-month-and-year-date-as-datetime64ns-and-summarized-by-count\n",
-    "        return DoseAnalysis._getDoseTable(\n",
+    "        doseByMonthTable = DoseAnalysis._getDoseTable(\n",
     "            dataFrame.groupby(\n",
     "            [\n",
-    "                dataFrame['RECVDATE'].dt.year.rename('year'),\n",
-    "                dataFrame['RECVDATE'].dt.month.rename('month'),\n",
-    "                dataFrame['VAX_DOSE_SERIES']\n",
+    "                dataFrame['RECVDATE'].dt.year.rename('Year'),\n",
+    "                dataFrame['RECVDATE'].dt.month.rename('Month'),\n",
+    "                dataFrame['VAX_DOSE_SERIES'].rename('Dose')\n",
     "            ]))\n",
+    "        return doseByMonthTable\n",
     "\n",
     "    @staticmethod\n",
     "    def _getDoseTable(dataFrame):\n",
@@ -635,7 +638,7 @@
     "                    'Life Threatening Illnesses': [1,                   0],\n",
     "                    'Severe reports (%)':         [(2 + 1 + 1)/2 * 100, (1 + 0 + 0)/1 * 100]\n",
     "                },\n",
-    "                index = pd.Index(['1', '2'], dtype = \"string\", name = 'VAX_DOSE_SERIES')))\n",
+    "                index = pd.Index(['1', '2'], dtype = \"string\", name = 'Dose')))\n",
     "                \n",
     "    def test_getDoseByMonthTable(self):\n",
     "        # Given\n",
@@ -670,7 +673,7 @@
     "                        (2021,  1, '1'),\n",
     "                        (2021,  1, '2'),\n",
     "                    ],\n",
-    "                names = ('year', 'month', 'VAX_DOSE_SERIES'))),\n",
+    "                names = ('Year', 'Month', 'Dose'))),\n",
     "                check_index_type = False)\n",
     "\n",
     "    def createDataFrame(self, index, columns, data, dtypes = {}):\n",
@@ -788,6 +791,14 @@
     "doseByMonthTable.to_excel('results/doseByMonthTable.xlsx')\n",
     "doseByMonthTable"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8f915532",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {