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adding heading "Google Analytics"

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frankknoll
2023-10-04 21:23:58 +02:00
parent 5cd36b8e1e
commit aeb4fcbf5e
1 changed files with 33 additions and 80 deletions
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113
src/HowBadIsMyBatch.ipynb
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@@ -22,7 +22,7 @@
"from CountryColumnsMerger import CountryColumnsMerger\n", "from CountryColumnsMerger import CountryColumnsMerger\n",
"from datetime import datetime\n", "from datetime import datetime\n",
"from VAERSFileDownloader import updateVAERSFiles\n", "from VAERSFileDownloader import updateVAERSFiles\n",
"from GoogleAnalytics.RegionCountsByBatchcodeTablesMerger import RegionCountsByBatchcodeTablesMerger\n", "from GoogleAnalytics.CityCountsByBatchcodeTablesMerger import CityCountsByBatchcodeTablesMerger\n",
"from IOUtils import IOUtils\n", "from IOUtils import IOUtils\n",
"import os\n", "import os\n",
"import pandas as pd\n", "import pandas as pd\n",
@@ -211,8 +211,8 @@
"outputs": [], "outputs": [],
"source": [ "source": [
"# df = countryCountsByBatchcode.loc[(slice(None), 'Germany'), :][['COUNTRY_COUNT_BY_VAX_LOT Clicked']].sort_values(by = 'COUNTRY_COUNT_BY_VAX_LOT Clicked', ascending = False)\n", "# df = countryCountsByBatchcode.loc[(slice(None), 'Germany'), :][['COUNTRY_COUNT_BY_VAX_LOT Clicked']].sort_values(by = 'COUNTRY_COUNT_BY_VAX_LOT Clicked', ascending = False)\n",
"df = countryCountsByBatchcode.loc[(slice(None), 'Germany'), :].sort_values(by = 'COUNTRY_COUNT_BY_VAX_LOT Clicked', ascending = False)\n", "dataframe = countryCountsByBatchcode.loc[(slice(None), 'Germany'), :].sort_values(by = 'COUNTRY_COUNT_BY_VAX_LOT Clicked', ascending = False)\n",
"df" "dataframe"
] ]
}, },
{ {
@@ -257,66 +257,6 @@
"# Google Analytics" "# Google Analytics"
] ]
}, },
{
"cell_type": "code",
"execution_count": null,
"id": "f2d4e5f9",
"metadata": {},
"outputs": [],
"source": [
"regionCountsByClickedBatchcodeTable = RegionCountsByBatchcodeTablesMerger.getRegionCountsByClickedBatchcode('data/GoogleAnalytics')\n",
"regionCountsByClickedBatchcodeTable"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "778564bb",
"metadata": {},
"outputs": [],
"source": [
"regionCountsByClickedBatchcodeTable4Germany = (regionCountsByClickedBatchcodeTable\n",
" .loc[(slice(None), 'Germany', slice(None)), :]\n",
" .sort_values(by = ['REGION', 'REGION_COUNT_BY_VAX_LOT'], ascending = False))\n",
"regionCountsByClickedBatchcodeTable4Germany"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7c0efbfb",
"metadata": {},
"outputs": [],
"source": [
"regionCountsByClickedBatchcodeTable4Germany.to_excel('tmp/regionCountsByClickedBatchcodeTable4Germany.xlsx')"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3c05fcfc",
"metadata": {},
"outputs": [],
"source": [
"# VAX_LOT: EX8679\n",
"(regionCountsByClickedBatchcodeTable4Germany\n",
" .groupby('VAX_LOT')\n",
" .sum()\n",
" .sort_values(by = 'REGION_COUNT_BY_VAX_LOT', ascending = False))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "370bf329",
"metadata": {},
"outputs": [],
"source": [
"(regionCountsByClickedBatchcodeTable4Germany\n",
" .loc[('EX8679', slice(None), slice(None)), :]\n",
" .sort_values(by = 'REGION_COUNT_BY_VAX_LOT', ascending = False))"
]
},
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
@@ -324,12 +264,34 @@
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"from GoogleAnalytics.CityCountsByBatchcodeTablesMerger import CityCountsByBatchcodeTablesMerger\n",
"\n",
"cityCountsByClickedBatchcodeTable = CityCountsByBatchcodeTablesMerger.getCityCountsByClickedBatchcode('data/GoogleAnalytics')\n", "cityCountsByClickedBatchcodeTable = CityCountsByBatchcodeTablesMerger.getCityCountsByClickedBatchcode('data/GoogleAnalytics')\n",
"cityCountsByClickedBatchcodeTable" "cityCountsByClickedBatchcodeTable"
] ]
}, },
{
"cell_type": "code",
"execution_count": null,
"id": "6883ba3a",
"metadata": {},
"outputs": [],
"source": [
"def dataframeWithoutIndexValue(dataframe, indexValue):\n",
" return dataframe[dataframe.index != indexValue]\n",
"\n",
"def getMaxBatch(cityCountsByClickedBatchcodeTable):\n",
" df_sorted = dataframeWithoutIndexValue(\n",
" dataframe = (cityCountsByClickedBatchcodeTable\n",
" .groupby('VAX_LOT')\n",
" .sum()\n",
" .sort_values(by = 'CITY_COUNT_BY_VAX_LOT', ascending = False)),\n",
" indexValue = '(not set)')\n",
" print(df_sorted)\n",
" return df_sorted.iloc[0].name\n",
"\n",
"maxBatch = getMaxBatch(cityCountsByClickedBatchcodeTable)\n",
"maxBatch"
]
},
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
@@ -337,8 +299,8 @@
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"cityCountsByClickedBatchcodeTable_EX8679_Germany = cityCountsByClickedBatchcodeTable.loc[('EX8679', 'Germany', slice(None), slice(None)), :]\n", "cityCountsByClickedBatchcodeTable_maxBatch = cityCountsByClickedBatchcodeTable.loc[(maxBatch, slice(None), slice(None), slice(None)), :]\n",
"cityCountsByClickedBatchcodeTable_EX8679_Germany" "cityCountsByClickedBatchcodeTable_maxBatch"
] ]
}, },
{ {
@@ -348,19 +310,10 @@
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"cityCountsByClickedBatchcodeTable_EX8679_Germany.to_excel('tmp/cityCountsByClickedBatchcodeTable_EX8679_Germany.xlsx')" "(cityCountsByClickedBatchcodeTable_maxBatch\n",
] " .reset_index()\n",
}, " .to_excel('tmp/cityCountsByClickedBatchcodeTable_maxBatch.xlsx'))\n",
{ "# import cityCountsByClickedBatchcodeTable_maxBatch.xlsx into https://www.google.com/mymaps"
"cell_type": "code",
"execution_count": null,
"id": "494943f3",
"metadata": {},
"outputs": [],
"source": [
"(cityCountsByClickedBatchcodeTable_EX8679_Germany\n",
" .sort_values(by = ['CITY_COUNT_BY_VAX_LOT'], ascending = False)\n",
" .to_excel('tmp/cityCountsByClickedBatchcodeTable_EX8679_Germany_sorted.xlsx'))"
] ]
}, },
{ {