diff --git a/src/HowBadIsMyBatch.ipynb b/src/HowBadIsMyBatch.ipynb
index 4c36f3838d6..82d1db84686 100644
--- a/src/HowBadIsMyBatch.ipynb
+++ b/src/HowBadIsMyBatch.ipynb
@@ -163,9 +163,34 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from HistogramTable2JsonTableConverter import HistogramTable2JsonTableConverter\n",
-    "jsonTable = HistogramTable2JsonTableConverter.convertHistogramTable2JsonTable(symptomHistogramByBatchcodeTable)\n",
-    "jsonTable"
+    "from HistogramTable2DictTableConverter import HistogramTable2DictTableConverter\n",
+    "dictByBatchcodeTable = HistogramTable2DictTableConverter.convertHistogramTable2DictTable(symptomHistogramByBatchcodeTable)\n",
+    "dictByBatchcodeTable"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ba9f665a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from TableByBatchcodeFilter import TableByBatchcodeFilter\n",
+    "filteredTable = TableByBatchcodeFilter.filterTableByBatchcode('FE6208', dictByBatchcodeTable)\n",
+    "filteredTable"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c7027164",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from DictByBatchcodeTable2JsonConverter import DictByBatchcodeTable2JsonConverter\n",
+    "import json\n",
+    "jsonActual = DictByBatchcodeTable2JsonConverter.convertDictByBatchcodeTable2Json(filteredTable, 'FE6208')\n",
+    "print(json.dumps(json.loads(jsonActual), indent=2))"
    ]
   },
   {
@@ -178,6 +203,50 @@
     "jsonTable.to_excel('tmp/jsonTable.xlsx')"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1d5a7864",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "filteredTable.to_excel('tmp/filteredTable.xlsx')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0daf7fdc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from TestHelper import TestHelper\n",
+    "batchcode = '1808982'\n",
+    "symptomHistogramByBatchcodeTable = TestHelper.createDataFrame(\n",
+    "        columns = ['SYMPTOM_COUNT_BY_VAX_LOT'],\n",
+    "        data = [  ['{\"Blood pressure orthostatic abnormal\":5,\"Chest discomfort\":1}'],\n",
+    "                    ['{\"Chest discomfort\":2}']],\n",
+    "        index = pd.MultiIndex.from_tuples(\n",
+    "            names =   ['VAX_LOT1', 'VAX_LOT2'],\n",
+    "            tuples = [[batchcode,  'EW0175'],\n",
+    "                        ['015M20A',  batchcode]]))\n",
+    "symptomHistogramByBatchcodeTable"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8e63a507",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "result= symptomHistogramByBatchcodeTable.to_json()\n",
+    "parsed = json.loads(result)\n",
+    "parsed\n",
+    "#print(json.dumps(parsed, indent=4))"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -199,18 +268,6 @@
     "res.to_json()"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "f2e59589",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df = symptomHistogramByBatchcodeTable[:].reset_index()\n",
-    "vax_lot = '094F21A'\n",
-    "df[(df['VAX_LOT1'] == vax_lot) | (df['VAX_LOT2'] == vax_lot) | (df['VAX_LOT3'] == vax_lot) | (df['VAX_LOT4'] == vax_lot) | (df['VAX_LOT5'] == vax_lot) | (df['VAX_LOT6'] == vax_lot) | (df['VAX_LOT7'] == vax_lot) | (df['VAX_LOT8'] == vax_lot) | (df['VAX_LOT9'] == vax_lot) | (df['VAX_LOT10'] == vax_lot)]"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -231,51 +288,6 @@
     "symptomHistogramByBatchcodeTable.sort_values(by='SYMPTOM_COUNT_BY_VAX_LOT', ascending=False)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "206980b7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df = symptomByBatchcodeTable[:].reset_index()\n",
-    "df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "690197ca",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "table = df.groupby(['VAX_LOT1', 'VAX_LOT2'])['SYMPTOM'].value_counts()\n",
-    "table.name = 'SYMPTOM_count'\n",
-    "# table = table.reset_index(level = table.index.names.difference(['VAX_LOT1', 'VAX_LOT2']))\n",
-    "table"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c6e2c82e",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "table2 = table.reset_index(level=2)\n",
-    "table2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "cb7bf7e4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "table2.index"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -473,7 +485,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8 (main, Nov 24 2022, 14:13:03) [GCC 11.2.0]"
+   "version": "3.10.8"
   },
   "vscode": {
    "interpreter": {