getDateRangeOfVAERSReportsBeforeDeletionOfCountryCodes()

src/CountriesByBatchcodeProvider.py

@@ -10,13 +10,17 @@ def getCountryCountsByBatchcodeTable():
 
 
 def _getCountryCountsByBatchcodeBeforeDeletion():
-    internationalVaersCovid19 = getInternationalVaersCovid19(dataDir = 'VAERS/VAERSBeforeDeletion', years = [2020, 2021, 2022])
+    internationalVaersCovid19 = _getInternationalVaersCovid19BeforeDeletion()
     return (internationalVaersCovid19
             .groupby('VAX_LOT')
             ['COUNTRY'].value_counts()
             .to_frame(name = 'COUNTRY_COUNT_BY_VAX_LOT'))
 
 
+def _getInternationalVaersCovid19BeforeDeletion():
+    return getInternationalVaersCovid19(dataDir = 'VAERS/VAERSBeforeDeletion', years = [2020, 2021, 2022])
+
+
 def _combineCountryCountsByBatchcodeTables(countryCountsByClickedBatchcode, countryCountsByBatchcodeBeforeDeletion):
     countryCountsByBatchcode = pd.merge(
         countryCountsByClickedBatchcode,
@@ -31,5 +35,10 @@ def _combineCountryCountsByBatchcodeTables(countryCountsByClickedBatchcode, coun
     return countryCountsByBatchcode
 
 
+def getDateRangeOfVAERSReportsBeforeDeletionOfCountryCodes():
+    dates = _getInternationalVaersCovid19BeforeDeletion()['RECVDATE']
+    return dates.min(), dates.max()
+
+
 def filterByBatchcodes(countryCountsByBatchcode, batchcodes2Retain):
     return countryCountsByBatchcode.loc[(batchcodes2Retain, slice(None)), :]

src/HowBadIsMyBatch.ipynb

@@ -221,10 +221,12 @@
    "outputs": [],
    "source": [
     "from GoogleAnalyticsReader import GoogleAnalyticsReader\n",
+    "from CountriesByBatchcodeProvider import getDateRangeOfVAERSReportsBeforeDeletionOfCountryCodes\n",
     "\n",
     "dateRange = GoogleAnalyticsReader(dataDir = 'data/GoogleAnalytics').getDateRange()\n",
     "barChartDescriptions = {\n",
     "    'dateRange guessed': dateRange2Str(dateRange),\n",
+    "    'dateRange before deletion': dateRange2Str(getDateRangeOfVAERSReportsBeforeDeletionOfCountryCodes()),\n",
     "    'barChartDescriptions': barChartDescriptionTable['BAR_CHART_DESCRIPTION'].to_dict()\n",
     "}\n"
    ]