diff --git a/src/HowBadIsMyBatch.ipynb b/src/HowBadIsMyBatch.ipynb
index f81388a2c8e..4c36f3838d6 100644
--- a/src/HowBadIsMyBatch.ipynb
+++ b/src/HowBadIsMyBatch.ipynb
@@ -16,7 +16,7 @@
     "from VAERSFileDownloader import updateVAERSFiles\n",
     "from datetime import datetime\n",
     "from DateProvider import DateProvider\n",
-    "from InternationalVaersCovid19Provider import getInternationalVaersCovid19\n",
+    "from InternationalVaersCovid19Provider import getInternationalVaersCovid19,get_international_VAERSVAX_VAERSSYMPTOMS_Covid19\n",
     "from BatchCodeTableHtmlUpdater import updateBatchCodeTableHtmlFile\n",
     "from BatchCodeTablePersister import createAndSaveBatchCodeTables"
    ]
@@ -67,6 +67,364 @@
     "        workingDirectory = os.getcwd())"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "58333a19",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "international_VAERSVAX_Covid19, international_VAERSSYMPTOMS = get_international_VAERSVAX_VAERSSYMPTOMS_Covid19(years = years_from_2020_to_present)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f10b558f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "international_VAERSVAX_Covid19"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4119f1a3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "international_VAERSSYMPTOMS"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "204af94d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from SymptomByBatchcodeTableFactory import SymptomByBatchcodeTableFactory\n",
+    "symptomByBatchcodeTable = SymptomByBatchcodeTableFactory.createSymptomByBatchcodeTable(international_VAERSVAX_Covid19, international_VAERSSYMPTOMS)\n",
+    "symptomByBatchcodeTable"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "817525c1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "symptomByBatchcodeTable.to_pickle('tmp/symptomByBatchcodeTable.pkl')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b5a70fa0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "symptomByBatchcodeTable = pd.read_pickle('tmp/symptomByBatchcodeTable.pkl')\n",
+    "symptomByBatchcodeTable"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d3b45ee3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# import cProfile\n",
+    "# from SymptomByBatchcodeTableFactory import SymptomByBatchcodeTableFactory\n",
+    "# cProfile.run('SymptomByBatchcodeTableFactory.createSymptomByBatchcodeTable(international_VAERSVAX_Covid19, international_VAERSSYMPTOMS)')\n",
+    "# # symptomByBatchcodeTable"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9268d60d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from SymptomHistogramByBatchcodeTableFactory import SymptomHistogramByBatchcodeTableFactory\n",
+    "\n",
+    "symptomHistogramByBatchcodeTable = SymptomHistogramByBatchcodeTableFactory.createSymptomHistogramByBatchcodeTable(symptomByBatchcodeTable)\n",
+    "symptomHistogramByBatchcodeTable"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5170efad",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from HistogramTable2JsonTableConverter import HistogramTable2JsonTableConverter\n",
+    "jsonTable = HistogramTable2JsonTableConverter.convertHistogramTable2JsonTable(symptomHistogramByBatchcodeTable)\n",
+    "jsonTable"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "25a0b41d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "jsonTable.to_excel('tmp/jsonTable.xlsx')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e55301c8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "res = jsonTable.loc[('!D0181', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan')]['SYMPTOM_COUNT_BY_VAX_LOT']\n",
+    "res"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b5710177",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "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,
+   "id": "6b2fc717",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "symptomHistogramByBatchcodeTable.loc[('!D0181', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan')].plot(kind='bar')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "07b1b418",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "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,
+   "id": "9acd49bc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "table.loc[('!D0181', 'nan')]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d9a7eb51",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "table.loc[('!D0181', 'nan')][:30].plot(kind='bar')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9e3f86a0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.groupby('VAX_LOT1')['SYMPTOMS']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6ab1c3f7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df[(df['VAX_LOT1'] != 'nan') & (df['VAX_LOT2'] != 'nan') & (df['VAX_LOT3'] != 'nan') & (df['VAX_LOT4'] != 'nan')& (df['VAX_LOT5'] != 'nan') & (df['VAX_LOT6'] != 'nan') & (df['VAX_LOT7'] != 'nan') & (df['VAX_LOT8'] != 'nan')]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4753dd56",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df[df['VAX_LOT3'] == 'EN6201']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ce3d6dfd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "# EN6201, FE6208\n",
+    "df[df['VAX_LOT2'] == 'EN6201'].hist(by=['VAX_LOT2'], column='SYMPTOMS', figsize=(200, 60))\n",
+    "# plt.savefig('EN6201.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cc962341",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['SYMPTOMS'].hist(by=df['VAX_LOT1'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "63fa4111",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.hist(by=['VAX_LOT1'], column='SYMPTOMS')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1e97b5e3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pandas import DataFrame\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "grouped = df.groupby(['VAX_LOT1'])\n",
+    "\n",
+    "for index, group in grouped:\n",
+    "  display(index, group)\n",
+    "  #plt.figure(figsize=(20, 10), edgecolor='green')\n",
+    "  #plt.title(index)\n",
+    "  #plt.hist(group['SYMPTOMS'], align='left')\n",
+    "  #plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6429c3d9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "type(pd.NA)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3ebf8ada",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pandas import DataFrame\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "x = ['A']*300 + ['B']*400 + ['C']*300\n",
+    "y = np.random.randn(1000)\n",
+    "df = DataFrame({'Letter':x, 'N':y})\n",
+    "grouped = df.groupby('Letter')\n",
+    "\n",
+    "for index, group in grouped:\n",
+    "  display(group)\n",
+    "  plt.figure()\n",
+    "  plt.title(index)\n",
+    "  plt.hist(group.N)\n",
+    "\n",
+    "# plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5b4df095",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "symptomByBatchcodeTable.iloc[:1000].to_excel('tmp/symptomByBatchcodeTable.xlsx')"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -101,7 +459,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3.10.8 ('howbadismybatch-venv')",
+   "display_name": "howbadismybatch-venv",
    "language": "python",
    "name": "python3"
   },