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3e60560242
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@ -124,7 +124,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 32,
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"execution_count": 4,
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"id": "ba9d04ad-6cc1-4bac-b1a0-44bedfb09763",
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"metadata": {},
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"outputs": [],
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@ -148,7 +148,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 34,
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"execution_count": 5,
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"id": "cacaecc1-4d8a-4e20-8cd3-b452cf17db56",
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"metadata": {},
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"outputs": [],
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@ -161,7 +161,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 35,
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"execution_count": 6,
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"id": "2ec4b583-dc64-43e9-b3ae-6bbaee0bc135",
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"metadata": {},
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"outputs": [
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@ -192,28 +192,28 @@
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},
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{
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"cell_type": "code",
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"execution_count": 26,
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"execution_count": 7,
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"id": "77894273-b3e5-4f29-bd63-9f4df8082b9b",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"0 2021-03-28 18:01:09+02:00\n",
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"1 2021-03-28 18:01:09+02:00\n",
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"2 2021-03-28 18:00:59+02:00\n",
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"3 2021-03-28 18:00:59+02:00\n",
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"4 2021-03-28 18:01:06+02:00\n",
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" ... \n",
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"6214803 2023-10-23 11:32:33+02:00\n",
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"6214804 2023-10-23 11:32:49+02:00\n",
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"6214805 2023-10-23 11:33:28+02:00\n",
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"6214806 2023-10-23 11:31:53+02:00\n",
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"6214807 2023-10-23 11:33:54+02:00\n",
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"Name: sent_at, Length: 6214808, dtype: object"
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"0 2021-03-28 16:01:09+00:00\n",
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"1 2021-03-28 16:01:09+00:00\n",
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"2 2021-03-28 16:00:59+00:00\n",
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"3 2021-03-28 16:00:59+00:00\n",
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"4 2021-03-28 16:01:06+00:00\n",
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" ... \n",
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"6214803 2023-10-23 09:32:33+00:00\n",
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"6214804 2023-10-23 09:32:49+00:00\n",
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"6214805 2023-10-23 09:33:28+00:00\n",
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"6214806 2023-10-23 09:31:53+00:00\n",
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"6214807 2023-10-23 09:33:54+00:00\n",
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"Name: sent_at, Length: 6214808, dtype: datetime64[ns, UTC]"
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]
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},
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"execution_count": 26,
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -232,7 +232,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 50,
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"execution_count": 8,
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"id": "4223c873-cbd3-46d1-ac96-c9a3b9e97092",
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"metadata": {},
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"outputs": [
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@ -240,7 +240,7 @@
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/tmp/ipykernel_426/4118060109.py:9: DtypeWarning: Columns (20) have mixed types. Specify dtype option on import or set low_memory=False.\n",
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"/tmp/ipykernel_1362/4118060109.py:9: DtypeWarning: Columns (20) have mixed types. Specify dtype option on import or set low_memory=False.\n",
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" customers_plus_2 = pd.read_csv(file_in, sep=\",\")\n"
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]
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}
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@ -259,7 +259,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 39,
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"execution_count": 10,
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"id": "460f853a-68c0-42a7-9877-b83d3aaec813",
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"metadata": {},
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"outputs": [
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@ -280,81 +280,48 @@
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" dtype='object')"
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]
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},
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"execution_count": 39,
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"customers_plus.columns"
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"customers_plus_1.columns"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 43,
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"execution_count": null,
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"id": "d5a9398f-72fc-4548-9f53-b20b372144b2",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(151866, 43)"
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]
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},
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"execution_count": 43,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"outputs": [],
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"source": [
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"customers_plus.shape"
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"customers_plus_1.shape"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 52,
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"execution_count": null,
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"id": "7467ddbe-0bd4-44cc-8a16-84aa41853638",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"151866"
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]
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},
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"execution_count": 52,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"outputs": [],
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"source": [
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"customers_plus_1['id'].nunique()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 53,
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"execution_count": null,
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"id": "e15f05f8-3a89-4fc3-84a9-dae70e168440",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"275622"
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]
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},
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"execution_count": 53,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"outputs": [],
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"source": [
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"customers_plus_2['id'].nunique()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 55,
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"execution_count": null,
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"id": "b40a653e-013f-48d0-8b57-0284587b36c5",
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"metadata": {},
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"outputs": [],
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@ -445,7 +412,7 @@
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}
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],
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"source": [
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"print(customers_plus.isna().mean()*100)"
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"pd.DataFrame(customers_plus_1.isna().mean()*100)"
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]
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}
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],
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