5601 lines
455 KiB
Text
5601 lines
455 KiB
Text
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "84dcd475",
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"metadata": {},
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"source": [
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"# DDRA - Pablo's EDA\n",
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"\n",
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"General fuck around to understand what might drive claims.\n",
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"\n",
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"A handful of ideas I want to give a first shot to:\n",
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"- Time features\n",
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" - Length of stay\n",
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" - Check In and Check out dates\n",
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" - Lead time between creation and check out\n",
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" - checkin as week/month/year cycle, checkout as week/month/year cycle\n",
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" - Duration between starting GJ and booking checkin\n",
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"- Same country, same town features\n",
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"- Tokenize listing names and correlate them\n",
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" - And specifically get bedrooms with regex\n",
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"- Number of active listings of host\n",
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"- Number of bookings created by host in last 12 months (and monthly/per listing average?)\n",
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"- Number of bookings cancelled on the host in last 12 months (and monthly/per listing average?)\n",
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"- Number of claims created by host in last 12 months (and monthly/per listing average?)\n",
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"- Number of claims with positive settlemend by host in last 12 months (and monthly/per listing average?)\n",
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"- Total invoiced to host in last 12 months (and monthly/per listing average?)\n",
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"- Guest age\n",
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"- Paid for waiver\n",
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"- Paid for CIH\n",
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"\n"
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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": 1,
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"id": "12368ce1",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"🔌 Testing connection using credentials at: /home/pablo/.superhog-dwh/credentials.yml\n",
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"✅ Connection successful.\n"
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]
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}
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],
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"source": [
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"import sys\n",
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"import os\n",
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"sys.path.append(os.path.abspath(\"../../utils\")) # Adjust path if needed\n",
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"\n",
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"from dwh_utils import read_credentials, create_postgres_engine, query_to_dataframe, test_connection\n",
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"\n",
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"# --- Connect to DWH ---\n",
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"creds = read_credentials()\n",
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"dwh_pg_engine = create_postgres_engine(creds)\n",
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"\n",
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"# --- Test Query ---\n",
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"test_connection()"
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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": 29,
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"id": "385c350b",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Other imports\n",
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"import pandas as pd\n",
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"import numpy as np\n",
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"from sklearn.feature_extraction.text import TfidfVectorizer\n",
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"from sklearn.decomposition import TruncatedSVD\n",
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"import string"
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]
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},
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{
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"cell_type": "markdown",
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"id": "78cbf43d",
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"metadata": {},
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"source": [
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"# Getting data"
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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": null,
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"id": "ba87ff74",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Get all bookings and their claims\n",
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"df_bookings_and_claims = query_to_dataframe(\n",
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" engine=dwh_pg_engine, \n",
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" query=\"\"\"\n",
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" select \n",
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" -- Unique ID --\n",
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" ibs.id_booking,\n",
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" -- Target (Boolean) --\n",
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" ibs.has_resolution_incident,\n",
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" -- Various features -- \n",
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" ibs.booking_created_date_utc, \n",
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" ibs.booking_check_in_date_utc,\n",
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" ibs.booking_check_out_date_utc,\n",
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" vr.link_used_date_utc as guest_journey_started_date_utc,\n",
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"\n",
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" -- Other --\n",
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" ibs.id_accommodation\n",
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"\n",
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"from intermediate.int_booking_summary ibs\n",
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"left join intermediate.int_core__verification_requests vr\n",
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" on ibs.id_verification_request = vr.id_verification_request\n",
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"where \n",
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" -- 1. Bookings from New Dash users with Id Deal\n",
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" ibs.is_user_in_new_dash = True and \n",
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" ibs.is_missing_id_deal = False and\n",
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" -- 2. Protected Bookings with a Protection or a Deposit Management service\n",
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" (ibs.has_protection_service_business_type or \n",
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" ibs.has_deposit_management_service_business_type) and\n",
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" -- 3. Bookings with flagging categorisation (this excludes Cancelled/Incomplete/Rejected bookings)\n",
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" ibs.is_booking_flagged_as_risk is not null and \n",
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" -- 4. Booking is completed\n",
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" ibs.is_booking_past_completion_date = True\n",
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" \"\"\"\n",
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")\n",
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"\n",
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"# Get listing details\n",
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"\n",
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"df_listing_details = query_to_dataframe(\n",
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|
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" engine=dwh_pg_engine,\n",
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" query=\"\"\"\n",
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" select\n",
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" a.id_accommodation,\n",
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" a.friendly_name\n",
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|
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" from intermediate.int_core__accommodation a\n",
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" where a.id_accommodation in (\n",
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|||
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" select distinct id_accommodation\n",
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" from intermediate.int_booking_summary ibs\n",
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" where \n",
|
|||
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" -- 1. Bookings from New Dash users with Id Deal\n",
|
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|
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" ibs.is_user_in_new_dash = True and \n",
|
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" ibs.is_missing_id_deal = False and\n",
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" -- 2. Protected Bookings with a Protection or a Deposit Management service\n",
|
|||
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" (ibs.has_protection_service_business_type or \n",
|
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" ibs.has_deposit_management_service_business_type) and\n",
|
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|
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" -- 3. Bookings with flagging categorisation (this excludes Cancelled/Incomplete/Rejected bookings)\n",
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" ibs.is_booking_flagged_as_risk is not null and \n",
|
|||
|
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" -- 4. Booking is completed\n",
|
|||
|
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" ibs.is_booking_past_completion_date = True)\n",
|
|||
|
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" \"\"\"\n",
|
|||
|
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")\n",
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|||
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"\n",
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|||
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"# Get last 12 months host KPIs \n",
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"\n",
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"# Get guest data\n",
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"\n",
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|||
|
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"# Get host data\n",
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|||
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"\n",
|
|||
|
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"# Get guest journey sales\n"
|
|||
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]
|
|||
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},
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{
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|||
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"cell_type": "code",
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|||
|
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"execution_count": 3,
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|||
|
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"id": "9848916e",
|
|||
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"metadata": {},
|
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"outputs": [
|
|||
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{
|
|||
|
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"data": {
|
|||
|
|
"application/vnd.microsoft.datawrangler.viewer.v0+json": {
|
|||
|
|
"columns": [
|
|||
|
|
{
|
|||
|
|
"name": "index",
|
|||
|
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"rawType": "int64",
|
|||
|
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"type": "integer"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "id_booking",
|
|||
|
|
"rawType": "int64",
|
|||
|
|
"type": "integer"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "has_resolution_incident",
|
|||
|
|
"rawType": "bool",
|
|||
|
|
"type": "boolean"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "booking_created_date_utc",
|
|||
|
|
"rawType": "object",
|
|||
|
|
"type": "unknown"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "booking_check_in_date_utc",
|
|||
|
|
"rawType": "object",
|
|||
|
|
"type": "unknown"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "booking_check_out_date_utc",
|
|||
|
|
"rawType": "object",
|
|||
|
|
"type": "unknown"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "guest_journey_started_date_utc",
|
|||
|
|
"rawType": "object",
|
|||
|
|
"type": "unknown"
|
|||
|
|
}
|
|||
|
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],
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"ref": "b9c31069-7ef4-4cf3-8954-d283b42f6e64",
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"2024-12-29",
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"2024-12-14"
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],
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[
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[
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"2025-02-10",
|
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"2025-02-15",
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],
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[
|
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"17",
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"989579",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-17",
|
|||
|
|
"2024-12-23",
|
|||
|
|
"2024-12-26",
|
|||
|
|
"2024-12-17"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"18",
|
|||
|
|
"989580",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-17",
|
|||
|
|
"2024-12-20",
|
|||
|
|
"2024-12-22",
|
|||
|
|
"2024-12-17"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"19",
|
|||
|
|
"989581",
|
|||
|
|
"True",
|
|||
|
|
"2024-12-17",
|
|||
|
|
"2024-12-31",
|
|||
|
|
"2025-01-02",
|
|||
|
|
"2024-12-24"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"20",
|
|||
|
|
"989582",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-17",
|
|||
|
|
"2024-12-23",
|
|||
|
|
"2024-12-26",
|
|||
|
|
"2024-12-17"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"21",
|
|||
|
|
"990071",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-17",
|
|||
|
|
"2024-12-31",
|
|||
|
|
"2025-01-02",
|
|||
|
|
"2024-12-19"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"22",
|
|||
|
|
"990606",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-17",
|
|||
|
|
"2024-12-18",
|
|||
|
|
"2024-12-22",
|
|||
|
|
"2024-12-17"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"23",
|
|||
|
|
"991162",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-18",
|
|||
|
|
"2024-12-29",
|
|||
|
|
"2024-12-31",
|
|||
|
|
"2024-12-19"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"24",
|
|||
|
|
"991894",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-18",
|
|||
|
|
"2025-02-28",
|
|||
|
|
"2025-03-03",
|
|||
|
|
"2024-12-18"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"25",
|
|||
|
|
"993698",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-20",
|
|||
|
|
"2024-12-30",
|
|||
|
|
"2024-12-31",
|
|||
|
|
"2024-12-20"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"26",
|
|||
|
|
"994300",
|
|||
|
|
"True",
|
|||
|
|
"2024-12-20",
|
|||
|
|
"2025-01-18",
|
|||
|
|
"2025-01-20",
|
|||
|
|
"2024-12-20"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"27",
|
|||
|
|
"994888",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-21",
|
|||
|
|
"2024-12-23",
|
|||
|
|
"2024-12-24",
|
|||
|
|
"2024-12-21"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"28",
|
|||
|
|
"994974",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-21",
|
|||
|
|
"2024-12-30",
|
|||
|
|
"2025-01-02",
|
|||
|
|
"2024-12-21"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"29",
|
|||
|
|
"995617",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-22",
|
|||
|
|
"2024-12-28",
|
|||
|
|
"2024-12-30",
|
|||
|
|
"2024-12-22"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"30",
|
|||
|
|
"995692",
|
|||
|
|
"True",
|
|||
|
|
"2024-12-22",
|
|||
|
|
"2024-12-30",
|
|||
|
|
"2025-01-02",
|
|||
|
|
"2024-12-22"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"31",
|
|||
|
|
"996081",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-22",
|
|||
|
|
"2025-01-27",
|
|||
|
|
"2025-02-02",
|
|||
|
|
"2024-12-29"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"32",
|
|||
|
|
"996092",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-22",
|
|||
|
|
"2025-01-30",
|
|||
|
|
"2025-02-04",
|
|||
|
|
"2024-12-22"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"33",
|
|||
|
|
"996397",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-22",
|
|||
|
|
"2025-01-11",
|
|||
|
|
"2025-01-15",
|
|||
|
|
"2024-12-22"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"34",
|
|||
|
|
"997018",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-23",
|
|||
|
|
"2025-02-15",
|
|||
|
|
"2025-02-21",
|
|||
|
|
"2024-12-24"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"35",
|
|||
|
|
"997710",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-24",
|
|||
|
|
"2025-01-09",
|
|||
|
|
"2025-01-13",
|
|||
|
|
"2024-12-24"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"36",
|
|||
|
|
"997777",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-24",
|
|||
|
|
"2024-12-23",
|
|||
|
|
"2024-12-26",
|
|||
|
|
"2024-12-24"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"37",
|
|||
|
|
"998900",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-25",
|
|||
|
|
"2025-01-02",
|
|||
|
|
"2025-01-05",
|
|||
|
|
"2024-12-27"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"38",
|
|||
|
|
"998926",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-25",
|
|||
|
|
"2024-12-26",
|
|||
|
|
"2024-12-31",
|
|||
|
|
"2024-12-25"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"39",
|
|||
|
|
"999495",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-25",
|
|||
|
|
"2024-12-27",
|
|||
|
|
"2024-12-28",
|
|||
|
|
"2024-12-25"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"40",
|
|||
|
|
"999663",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-26",
|
|||
|
|
"2024-12-26",
|
|||
|
|
"2024-12-30",
|
|||
|
|
"2024-12-26"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"41",
|
|||
|
|
"1000059",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-26",
|
|||
|
|
"2024-12-27",
|
|||
|
|
"2024-12-30",
|
|||
|
|
"2024-12-27"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"42",
|
|||
|
|
"1000743",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-27",
|
|||
|
|
"2025-03-22",
|
|||
|
|
"2025-03-29",
|
|||
|
|
"2024-12-27"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"43",
|
|||
|
|
"1000745",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-27",
|
|||
|
|
"2024-12-27",
|
|||
|
|
"2024-12-29",
|
|||
|
|
"2024-12-27"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"44",
|
|||
|
|
"1000746",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-27",
|
|||
|
|
"2024-12-29",
|
|||
|
|
"2025-01-02",
|
|||
|
|
"2024-12-27"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"45",
|
|||
|
|
"1000808",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-27",
|
|||
|
|
"2024-12-27",
|
|||
|
|
"2024-12-29",
|
|||
|
|
null
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"46",
|
|||
|
|
"1000809",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-27",
|
|||
|
|
"2025-02-06",
|
|||
|
|
"2025-02-07",
|
|||
|
|
"2024-12-28"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"47",
|
|||
|
|
"1000883",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-27",
|
|||
|
|
"2025-01-01",
|
|||
|
|
"2025-01-05",
|
|||
|
|
"2024-12-27"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"48",
|
|||
|
|
"1000951",
|
|||
|
|
"True",
|
|||
|
|
"2024-12-27",
|
|||
|
|
"2025-01-09",
|
|||
|
|
"2025-01-15",
|
|||
|
|
"2024-12-27"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"49",
|
|||
|
|
"1001807",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-27",
|
|||
|
|
"2024-12-27",
|
|||
|
|
"2024-12-28",
|
|||
|
|
"2024-12-27"
|
|||
|
|
]
|
|||
|
|
],
|
|||
|
|
"shape": {
|
|||
|
|
"columns": 6,
|
|||
|
|
"rows": 20280
|
|||
|
|
}
|
|||
|
|
},
|
|||
|
|
"text/html": [
|
|||
|
|
"<div>\n",
|
|||
|
|
"<style scoped>\n",
|
|||
|
|
" .dataframe tbody tr th:only-of-type {\n",
|
|||
|
|
" vertical-align: middle;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe tbody tr th {\n",
|
|||
|
|
" vertical-align: top;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe thead th {\n",
|
|||
|
|
" text-align: right;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"</style>\n",
|
|||
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|||
|
|
" <thead>\n",
|
|||
|
|
" <tr style=\"text-align: right;\">\n",
|
|||
|
|
" <th></th>\n",
|
|||
|
|
" <th>id_booking</th>\n",
|
|||
|
|
" <th>has_resolution_incident</th>\n",
|
|||
|
|
" <th>booking_created_date_utc</th>\n",
|
|||
|
|
" <th>booking_check_in_date_utc</th>\n",
|
|||
|
|
" <th>booking_check_out_date_utc</th>\n",
|
|||
|
|
" <th>guest_journey_started_date_utc</th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </thead>\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>0</th>\n",
|
|||
|
|
" <td>975057</td>\n",
|
|||
|
|
" <td>False</td>\n",
|
|||
|
|
" <td>2024-12-04</td>\n",
|
|||
|
|
" <td>2024-12-05</td>\n",
|
|||
|
|
" <td>2025-03-31</td>\n",
|
|||
|
|
" <td>None</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>1</th>\n",
|
|||
|
|
" <td>975059</td>\n",
|
|||
|
|
" <td>False</td>\n",
|
|||
|
|
" <td>2024-12-04</td>\n",
|
|||
|
|
" <td>2024-12-06</td>\n",
|
|||
|
|
" <td>2024-12-08</td>\n",
|
|||
|
|
" <td>2024-12-07</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>2</th>\n",
|
|||
|
|
" <td>975060</td>\n",
|
|||
|
|
" <td>False</td>\n",
|
|||
|
|
" <td>2024-12-04</td>\n",
|
|||
|
|
" <td>2025-01-26</td>\n",
|
|||
|
|
" <td>2025-01-29</td>\n",
|
|||
|
|
" <td>2024-12-07</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>3</th>\n",
|
|||
|
|
" <td>975061</td>\n",
|
|||
|
|
" <td>False</td>\n",
|
|||
|
|
" <td>2024-12-04</td>\n",
|
|||
|
|
" <td>2024-12-15</td>\n",
|
|||
|
|
" <td>2025-03-15</td>\n",
|
|||
|
|
" <td>None</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>4</th>\n",
|
|||
|
|
" <td>975062</td>\n",
|
|||
|
|
" <td>False</td>\n",
|
|||
|
|
" <td>2024-12-04</td>\n",
|
|||
|
|
" <td>2024-12-11</td>\n",
|
|||
|
|
" <td>2025-03-10</td>\n",
|
|||
|
|
" <td>2024-12-10</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>...</th>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>20275</th>\n",
|
|||
|
|
" <td>931096</td>\n",
|
|||
|
|
" <td>False</td>\n",
|
|||
|
|
" <td>2024-10-31</td>\n",
|
|||
|
|
" <td>2024-11-08</td>\n",
|
|||
|
|
" <td>2024-11-13</td>\n",
|
|||
|
|
" <td>None</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>20276</th>\n",
|
|||
|
|
" <td>931086</td>\n",
|
|||
|
|
" <td>False</td>\n",
|
|||
|
|
" <td>2024-10-31</td>\n",
|
|||
|
|
" <td>2024-11-15</td>\n",
|
|||
|
|
" <td>2024-11-18</td>\n",
|
|||
|
|
" <td>None</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>20277</th>\n",
|
|||
|
|
" <td>931082</td>\n",
|
|||
|
|
" <td>False</td>\n",
|
|||
|
|
" <td>2024-10-31</td>\n",
|
|||
|
|
" <td>2024-12-20</td>\n",
|
|||
|
|
" <td>2024-12-27</td>\n",
|
|||
|
|
" <td>None</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>20278</th>\n",
|
|||
|
|
" <td>926634</td>\n",
|
|||
|
|
" <td>False</td>\n",
|
|||
|
|
" <td>2024-10-27</td>\n",
|
|||
|
|
" <td>2025-02-13</td>\n",
|
|||
|
|
" <td>2025-02-16</td>\n",
|
|||
|
|
" <td>None</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>20279</th>\n",
|
|||
|
|
" <td>919656</td>\n",
|
|||
|
|
" <td>False</td>\n",
|
|||
|
|
" <td>2024-10-21</td>\n",
|
|||
|
|
" <td>2025-01-16</td>\n",
|
|||
|
|
" <td>2025-01-20</td>\n",
|
|||
|
|
" <td>None</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
"</table>\n",
|
|||
|
|
"<p>20280 rows × 6 columns</p>\n",
|
|||
|
|
"</div>"
|
|||
|
|
],
|
|||
|
|
"text/plain": [
|
|||
|
|
" id_booking has_resolution_incident booking_created_date_utc \\\n",
|
|||
|
|
"0 975057 False 2024-12-04 \n",
|
|||
|
|
"1 975059 False 2024-12-04 \n",
|
|||
|
|
"2 975060 False 2024-12-04 \n",
|
|||
|
|
"3 975061 False 2024-12-04 \n",
|
|||
|
|
"4 975062 False 2024-12-04 \n",
|
|||
|
|
"... ... ... ... \n",
|
|||
|
|
"20275 931096 False 2024-10-31 \n",
|
|||
|
|
"20276 931086 False 2024-10-31 \n",
|
|||
|
|
"20277 931082 False 2024-10-31 \n",
|
|||
|
|
"20278 926634 False 2024-10-27 \n",
|
|||
|
|
"20279 919656 False 2024-10-21 \n",
|
|||
|
|
"\n",
|
|||
|
|
" booking_check_in_date_utc booking_check_out_date_utc \\\n",
|
|||
|
|
"0 2024-12-05 2025-03-31 \n",
|
|||
|
|
"1 2024-12-06 2024-12-08 \n",
|
|||
|
|
"2 2025-01-26 2025-01-29 \n",
|
|||
|
|
"3 2024-12-15 2025-03-15 \n",
|
|||
|
|
"4 2024-12-11 2025-03-10 \n",
|
|||
|
|
"... ... ... \n",
|
|||
|
|
"20275 2024-11-08 2024-11-13 \n",
|
|||
|
|
"20276 2024-11-15 2024-11-18 \n",
|
|||
|
|
"20277 2024-12-20 2024-12-27 \n",
|
|||
|
|
"20278 2025-02-13 2025-02-16 \n",
|
|||
|
|
"20279 2025-01-16 2025-01-20 \n",
|
|||
|
|
"\n",
|
|||
|
|
" guest_journey_started_date_utc \n",
|
|||
|
|
"0 None \n",
|
|||
|
|
"1 2024-12-07 \n",
|
|||
|
|
"2 2024-12-07 \n",
|
|||
|
|
"3 None \n",
|
|||
|
|
"4 2024-12-10 \n",
|
|||
|
|
"... ... \n",
|
|||
|
|
"20275 None \n",
|
|||
|
|
"20276 None \n",
|
|||
|
|
"20277 None \n",
|
|||
|
|
"20278 None \n",
|
|||
|
|
"20279 None \n",
|
|||
|
|
"\n",
|
|||
|
|
"[20280 rows x 6 columns]"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 3,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"df_bookings_and_claims"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 36,
|
|||
|
|
"id": "faf0b7de",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"application/vnd.microsoft.datawrangler.viewer.v0+json": {
|
|||
|
|
"columns": [
|
|||
|
|
{
|
|||
|
|
"name": "index",
|
|||
|
|
"rawType": "int64",
|
|||
|
|
"type": "integer"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "id_accommodation",
|
|||
|
|
"rawType": "int64",
|
|||
|
|
"type": "integer"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "friendly_name",
|
|||
|
|
"rawType": "object",
|
|||
|
|
"type": "unknown"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"ref": "39e34129-92b9-452c-982e-db106a6a71e0",
|
|||
|
|
"rows": [
|
|||
|
|
[
|
|||
|
|
"0",
|
|||
|
|
"10368",
|
|||
|
|
"Maddox St"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"1",
|
|||
|
|
"11059",
|
|||
|
|
"HIL-1"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"2",
|
|||
|
|
"14345",
|
|||
|
|
"SUS-2"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"3",
|
|||
|
|
"277469",
|
|||
|
|
"4000 sqft Lakefront Retreat | Private Hot Tub #NH"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"4",
|
|||
|
|
"28561",
|
|||
|
|
"LAN-3"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"5",
|
|||
|
|
"163044",
|
|||
|
|
"Rosa Negra Suite Near Stadium"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"6",
|
|||
|
|
"164229",
|
|||
|
|
"Stadio Aparta | Rosa Negra Suite"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"7",
|
|||
|
|
"202702",
|
|||
|
|
"Ocean View - 2nd from Beach @ Surf City, LBI, NJ"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"8",
|
|||
|
|
"203920",
|
|||
|
|
"Poplar"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"9",
|
|||
|
|
"261554",
|
|||
|
|
"Steps to Beach | Linens + Towels included | AC"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"10",
|
|||
|
|
"33910",
|
|||
|
|
"WAR-2"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"11",
|
|||
|
|
"277505",
|
|||
|
|
"Incredible SeaPoint Oasis W Pool"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"12",
|
|||
|
|
"277507",
|
|||
|
|
"181 Palisades"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"13",
|
|||
|
|
"277508",
|
|||
|
|
"585 Jacks -3 Bedroom"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"14",
|
|||
|
|
"119411",
|
|||
|
|
""
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"15",
|
|||
|
|
"48607",
|
|||
|
|
"200 Palms"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"16",
|
|||
|
|
"48896",
|
|||
|
|
"Chilworth Paddington"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"17",
|
|||
|
|
"83345",
|
|||
|
|
"King Bed | Private Parking | Strong WiFi"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"18",
|
|||
|
|
"84166",
|
|||
|
|
"Cozy Escape | Strong Wi-Fi | Prime Location"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"19",
|
|||
|
|
"48900",
|
|||
|
|
"Bakers Passage 1"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"20",
|
|||
|
|
"48902",
|
|||
|
|
"Bakers Passage 2"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"21",
|
|||
|
|
"105022",
|
|||
|
|
"Flamingo Cove 7"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"22",
|
|||
|
|
"51902",
|
|||
|
|
"La Camilla, comfortable private villa with pool"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"23",
|
|||
|
|
"105038",
|
|||
|
|
"Casa Prieta"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"24",
|
|||
|
|
"105039",
|
|||
|
|
"Casa Ironbark"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"25",
|
|||
|
|
"105041",
|
|||
|
|
"Villa Catalina #8"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"26",
|
|||
|
|
"51921",
|
|||
|
|
"Agriturismo Molino Verde, modern and comfortable"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"27",
|
|||
|
|
"51926",
|
|||
|
|
"Villa Farneta, large luxury villa with fenced pool"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"28",
|
|||
|
|
"51928",
|
|||
|
|
"Villa La Ginestra, private villa with pool"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"29",
|
|||
|
|
"51938",
|
|||
|
|
"Villa Badia, spacious villa with private infinity pool"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"30",
|
|||
|
|
"51941",
|
|||
|
|
"Casa Paciano, near town, apartments with pool"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"31",
|
|||
|
|
"51942",
|
|||
|
|
"La Pergola, agriturismo with large pool"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"32",
|
|||
|
|
"52082",
|
|||
|
|
"The Pom Pom House - In the heart of Palm Springs"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"33",
|
|||
|
|
"52083",
|
|||
|
|
"Silver Lake Views! The Hummingbird - Guest Suite"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"34",
|
|||
|
|
"105055",
|
|||
|
|
"Sunset Heights 500"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"35",
|
|||
|
|
"105056",
|
|||
|
|
"Casa Mango"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"36",
|
|||
|
|
"105059",
|
|||
|
|
"Marina Resort #502"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"37",
|
|||
|
|
"105062",
|
|||
|
|
"Casa Tranquility"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"38",
|
|||
|
|
"105073",
|
|||
|
|
"La Antigua 36"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"39",
|
|||
|
|
"105077",
|
|||
|
|
"La Antigua 28"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"40",
|
|||
|
|
"53623",
|
|||
|
|
"2 Napolean Richmond"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"41",
|
|||
|
|
"53625",
|
|||
|
|
"81 Miramar HiddenBay"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"42",
|
|||
|
|
"53627",
|
|||
|
|
"24 Marlborough S/Bay"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"43",
|
|||
|
|
"53629",
|
|||
|
|
"326 Churchill Ave SB"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"44",
|
|||
|
|
"53637",
|
|||
|
|
"241 Bathurst BOSTANE"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"45",
|
|||
|
|
"53638",
|
|||
|
|
"3/5HomeAve/Modern"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"46",
|
|||
|
|
"53639",
|
|||
|
|
"2/165Camb Retreat"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"47",
|
|||
|
|
"53641",
|
|||
|
|
"165 Cambr-Residence"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"48",
|
|||
|
|
"53643",
|
|||
|
|
"87 Kingston View Dv"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"49",
|
|||
|
|
"53960",
|
|||
|
|
"3-Bedroom Oasis in Miami "
|
|||
|
|
]
|
|||
|
|
],
|
|||
|
|
"shape": {
|
|||
|
|
"columns": 2,
|
|||
|
|
"rows": 3632
|
|||
|
|
}
|
|||
|
|
},
|
|||
|
|
"text/html": [
|
|||
|
|
"<div>\n",
|
|||
|
|
"<style scoped>\n",
|
|||
|
|
" .dataframe tbody tr th:only-of-type {\n",
|
|||
|
|
" vertical-align: middle;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe tbody tr th {\n",
|
|||
|
|
" vertical-align: top;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe thead th {\n",
|
|||
|
|
" text-align: right;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"</style>\n",
|
|||
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|||
|
|
" <thead>\n",
|
|||
|
|
" <tr style=\"text-align: right;\">\n",
|
|||
|
|
" <th></th>\n",
|
|||
|
|
" <th>id_accommodation</th>\n",
|
|||
|
|
" <th>friendly_name</th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </thead>\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>0</th>\n",
|
|||
|
|
" <td>10368</td>\n",
|
|||
|
|
" <td>Maddox St</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>1</th>\n",
|
|||
|
|
" <td>11059</td>\n",
|
|||
|
|
" <td>HIL-1</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>2</th>\n",
|
|||
|
|
" <td>14345</td>\n",
|
|||
|
|
" <td>SUS-2</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>3</th>\n",
|
|||
|
|
" <td>277469</td>\n",
|
|||
|
|
" <td>4000 sqft Lakefront Retreat | Private Hot Tub #NH</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>4</th>\n",
|
|||
|
|
" <td>28561</td>\n",
|
|||
|
|
" <td>LAN-3</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>...</th>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>3627</th>\n",
|
|||
|
|
" <td>197269</td>\n",
|
|||
|
|
" <td>Luxury Glamping | Hot Tub, Firepit & Grill</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>3628</th>\n",
|
|||
|
|
" <td>198130</td>\n",
|
|||
|
|
" <td>Brick Haven House: 10min Walk to Shakespeare F...</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>3629</th>\n",
|
|||
|
|
" <td>205403</td>\n",
|
|||
|
|
" <td>NO FEES! Pool+Hot Tub/Volley&Bocce Ball+Firepit</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>3630</th>\n",
|
|||
|
|
" <td>263762</td>\n",
|
|||
|
|
" <td>Brasada Ranch | Hot Tub | Guest Casita | 5 Bed</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>3631</th>\n",
|
|||
|
|
" <td>267589</td>\n",
|
|||
|
|
" <td>10% Off July 6-10 • Creek • 3 Dogs • Fenced Yard</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
"</table>\n",
|
|||
|
|
"<p>3632 rows × 2 columns</p>\n",
|
|||
|
|
"</div>"
|
|||
|
|
],
|
|||
|
|
"text/plain": [
|
|||
|
|
" id_accommodation friendly_name\n",
|
|||
|
|
"0 10368 Maddox St\n",
|
|||
|
|
"1 11059 HIL-1\n",
|
|||
|
|
"2 14345 SUS-2\n",
|
|||
|
|
"3 277469 4000 sqft Lakefront Retreat | Private Hot Tub #NH\n",
|
|||
|
|
"4 28561 LAN-3\n",
|
|||
|
|
"... ... ...\n",
|
|||
|
|
"3627 197269 Luxury Glamping | Hot Tub, Firepit & Grill\n",
|
|||
|
|
"3628 198130 Brick Haven House: 10min Walk to Shakespeare F...\n",
|
|||
|
|
"3629 205403 NO FEES! Pool+Hot Tub/Volley&Bocce Ball+Firepit\n",
|
|||
|
|
"3630 263762 Brasada Ranch | Hot Tub | Guest Casita | 5 Bed\n",
|
|||
|
|
"3631 267589 10% Off July 6-10 • Creek • 3 Dogs • Fenced Yard\n",
|
|||
|
|
"\n",
|
|||
|
|
"[3632 rows x 2 columns]"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 36,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"df_listing_details"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "5acb3488",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"# Processing"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": null,
|
|||
|
|
"id": "3fe386f8",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": [
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Ensure date columns are datetime objects\n",
|
|||
|
|
"df = df_bookings_and_claims.copy()\n",
|
|||
|
|
"df['booking_created_date_utc'] = pd.to_datetime(df['booking_created_date_utc'])\n",
|
|||
|
|
"df['booking_check_in_date_utc'] = pd.to_datetime(df['booking_check_in_date_utc'])\n",
|
|||
|
|
"df['booking_check_out_date_utc'] = pd.to_datetime(df['booking_check_out_date_utc'])\n",
|
|||
|
|
"df['guest_journey_started_date_utc'] = pd.to_datetime(df['guest_journey_started_date_utc'])\n",
|
|||
|
|
"\n",
|
|||
|
|
"# 1. Length of stay (in days)\n",
|
|||
|
|
"df['length_of_stay_days'] = (df['booking_check_out_date_utc'] - df['booking_check_in_date_utc']).dt.days\n",
|
|||
|
|
"\n",
|
|||
|
|
"# 2. Lead time between creation and check-in (in days)\n",
|
|||
|
|
"df['lead_time_to_checkin_days'] = (df['booking_check_in_date_utc'] - df['booking_created_date_utc']).dt.days\n",
|
|||
|
|
"\n",
|
|||
|
|
"# 3. Cyclical transformations\n",
|
|||
|
|
"def add_cyclical_features(df, col, prefix, period):\n",
|
|||
|
|
" df[f'{prefix}_cycle_sin'] = np.sin(2 * np.pi * df[col] / period)\n",
|
|||
|
|
" df[f'{prefix}_cos'] = np.cos(2 * np.pi * df[col] / period)\n",
|
|||
|
|
" return df\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Check-in and check-out day-of-year\n",
|
|||
|
|
"df['checkin_doy'] = df['booking_check_in_date_utc'].dt.dayofyear\n",
|
|||
|
|
"df['checkout_doy'] = df['booking_check_out_date_utc'].dt.dayofyear\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Apply cyclical encoding for week, month, and year cycles\n",
|
|||
|
|
"df = add_cyclical_features(df, 'checkin_doy', 'checkin_week_cycle', 7)\n",
|
|||
|
|
"df = add_cyclical_features(df, 'checkin_doy', 'checkin_month_cycle', 30)\n",
|
|||
|
|
"df = add_cyclical_features(df, 'checkin_doy', 'checkin_year_cycle', 365)\n",
|
|||
|
|
"\n",
|
|||
|
|
"df = add_cyclical_features(df, 'checkout_doy', 'checkout_week_cycle', 7)\n",
|
|||
|
|
"df = add_cyclical_features(df, 'checkout_doy', 'checkout_month_cycle', 30)\n",
|
|||
|
|
"df = add_cyclical_features(df, 'checkout_doy', 'checkout_year_cycle', 365)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# 4. Time in days between GJ start and check-in\n",
|
|||
|
|
"df['gj_start_to_checkin_days'] = (df['booking_check_in_date_utc'] - df['guest_journey_started_date_utc']).dt.days\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Clean up temporary columns if needed\n",
|
|||
|
|
"df.drop(['checkin_doy', 'checkout_doy'], axis=1, inplace=True)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Final transformed DataFrame\n",
|
|||
|
|
"df_bookings_and_claims = df\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 37,
|
|||
|
|
"id": "95814ea4",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"application/vnd.microsoft.datawrangler.viewer.v0+json": {
|
|||
|
|
"columns": [
|
|||
|
|
{
|
|||
|
|
"name": "index",
|
|||
|
|
"rawType": "int64",
|
|||
|
|
"type": "integer"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "id_booking",
|
|||
|
|
"rawType": "int64",
|
|||
|
|
"type": "integer"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "has_resolution_incident",
|
|||
|
|
"rawType": "bool",
|
|||
|
|
"type": "boolean"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "booking_created_date_utc",
|
|||
|
|
"rawType": "object",
|
|||
|
|
"type": "unknown"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "booking_check_in_date_utc",
|
|||
|
|
"rawType": "object",
|
|||
|
|
"type": "unknown"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "booking_check_out_date_utc",
|
|||
|
|
"rawType": "object",
|
|||
|
|
"type": "unknown"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "guest_journey_started_date_utc",
|
|||
|
|
"rawType": "object",
|
|||
|
|
"type": "unknown"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "id_accommodation",
|
|||
|
|
"rawType": "int64",
|
|||
|
|
"type": "integer"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"ref": "10c05935-d77f-4555-ab33-945e8d49fbd0",
|
|||
|
|
"rows": [
|
|||
|
|
[
|
|||
|
|
"0",
|
|||
|
|
"975057",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-04",
|
|||
|
|
"2024-12-05",
|
|||
|
|
"2025-03-31",
|
|||
|
|
null,
|
|||
|
|
"196871"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"1",
|
|||
|
|
"975059",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-04",
|
|||
|
|
"2024-12-06",
|
|||
|
|
"2024-12-08",
|
|||
|
|
"2024-12-07",
|
|||
|
|
"196875"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"2",
|
|||
|
|
"975060",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-04",
|
|||
|
|
"2025-01-26",
|
|||
|
|
"2025-01-29",
|
|||
|
|
"2024-12-07",
|
|||
|
|
"196876"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"3",
|
|||
|
|
"975061",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-04",
|
|||
|
|
"2024-12-15",
|
|||
|
|
"2025-03-15",
|
|||
|
|
null,
|
|||
|
|
"196872"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"4",
|
|||
|
|
"975062",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-04",
|
|||
|
|
"2024-12-11",
|
|||
|
|
"2025-03-10",
|
|||
|
|
"2024-12-10",
|
|||
|
|
"196875"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"5",
|
|||
|
|
"975063",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-04",
|
|||
|
|
"2024-12-10",
|
|||
|
|
"2025-03-11",
|
|||
|
|
"2024-12-04",
|
|||
|
|
"196877"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"6",
|
|||
|
|
"975065",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-04",
|
|||
|
|
"2024-12-05",
|
|||
|
|
"2024-12-10",
|
|||
|
|
"2024-12-04",
|
|||
|
|
"196876"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"7",
|
|||
|
|
"975066",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-04",
|
|||
|
|
"2024-12-20",
|
|||
|
|
"2024-12-23",
|
|||
|
|
"2024-12-04",
|
|||
|
|
"196876"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"8",
|
|||
|
|
"975067",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-04",
|
|||
|
|
"2025-01-14",
|
|||
|
|
"2025-01-18",
|
|||
|
|
"2025-01-03",
|
|||
|
|
"196876"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"9",
|
|||
|
|
"975068",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-04",
|
|||
|
|
"2025-05-20",
|
|||
|
|
"2025-05-23",
|
|||
|
|
null,
|
|||
|
|
"196875"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"10",
|
|||
|
|
"975070",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-04",
|
|||
|
|
"2025-01-25",
|
|||
|
|
"2025-01-27",
|
|||
|
|
"2024-12-04",
|
|||
|
|
"196869"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"11",
|
|||
|
|
"975071",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-04",
|
|||
|
|
"2025-01-27",
|
|||
|
|
"2025-01-30",
|
|||
|
|
"2024-12-04",
|
|||
|
|
"196869"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"12",
|
|||
|
|
"982700",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-11",
|
|||
|
|
"2024-12-13",
|
|||
|
|
"2024-12-14",
|
|||
|
|
"2024-12-11",
|
|||
|
|
"196876"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"13",
|
|||
|
|
"984590",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-12",
|
|||
|
|
"2025-02-05",
|
|||
|
|
"2025-02-10",
|
|||
|
|
"2024-12-12",
|
|||
|
|
"199063"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"14",
|
|||
|
|
"985483",
|
|||
|
|
"False",
|
|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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[
|
|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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[
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|||
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|||
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|||
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"False",
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|||
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|||
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|||
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"2024-12-31",
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|||
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|||
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"196869"
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|||
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[
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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[
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|||
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"40",
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|||
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"999663",
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|||
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"False",
|
|||
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"2024-12-26",
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|||
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"2024-12-26",
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|||
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|
"2024-12-30",
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|||
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|||
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"203017"
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|||
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|||
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[
|
|||
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"41",
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|||
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|
"1000059",
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|||
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|
"False",
|
|||
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|
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|
|||
|
|
"2024-12-27",
|
|||
|
|
"2024-12-30",
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|||
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|
"2024-12-27",
|
|||
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|
"199199"
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|||
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|
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|||
|
|
[
|
|||
|
|
"42",
|
|||
|
|
"1000743",
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|||
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|
"False",
|
|||
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|
"2024-12-27",
|
|||
|
|
"2025-03-22",
|
|||
|
|
"2025-03-29",
|
|||
|
|
"2024-12-27",
|
|||
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|
"199360"
|
|||
|
|
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|
|||
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|
[
|
|||
|
|
"43",
|
|||
|
|
"1000745",
|
|||
|
|
"False",
|
|||
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|
"2024-12-27",
|
|||
|
|
"2024-12-27",
|
|||
|
|
"2024-12-29",
|
|||
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|
"2024-12-27",
|
|||
|
|
"200858"
|
|||
|
|
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|
|||
|
|
[
|
|||
|
|
"44",
|
|||
|
|
"1000746",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-27",
|
|||
|
|
"2024-12-29",
|
|||
|
|
"2025-01-02",
|
|||
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|
"2024-12-27",
|
|||
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|
"200858"
|
|||
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|
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|||
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|
[
|
|||
|
|
"45",
|
|||
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|
"1000808",
|
|||
|
|
"False",
|
|||
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|
"2024-12-27",
|
|||
|
|
"2024-12-27",
|
|||
|
|
"2024-12-29",
|
|||
|
|
null,
|
|||
|
|
"202455"
|
|||
|
|
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|
|||
|
|
[
|
|||
|
|
"46",
|
|||
|
|
"1000809",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-27",
|
|||
|
|
"2025-02-06",
|
|||
|
|
"2025-02-07",
|
|||
|
|
"2024-12-28",
|
|||
|
|
"200860"
|
|||
|
|
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|
|||
|
|
[
|
|||
|
|
"47",
|
|||
|
|
"1000883",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-27",
|
|||
|
|
"2025-01-01",
|
|||
|
|
"2025-01-05",
|
|||
|
|
"2024-12-27",
|
|||
|
|
"202594"
|
|||
|
|
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|
|||
|
|
[
|
|||
|
|
"48",
|
|||
|
|
"1000951",
|
|||
|
|
"True",
|
|||
|
|
"2024-12-27",
|
|||
|
|
"2025-01-09",
|
|||
|
|
"2025-01-15",
|
|||
|
|
"2024-12-27",
|
|||
|
|
"203382"
|
|||
|
|
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|
|||
|
|
[
|
|||
|
|
"49",
|
|||
|
|
"1001807",
|
|||
|
|
"False",
|
|||
|
|
"2024-12-27",
|
|||
|
|
"2024-12-27",
|
|||
|
|
"2024-12-28",
|
|||
|
|
"2024-12-27",
|
|||
|
|
"196876"
|
|||
|
|
]
|
|||
|
|
],
|
|||
|
|
"shape": {
|
|||
|
|
"columns": 7,
|
|||
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|
"rows": 20280
|
|||
|
|
}
|
|||
|
|
},
|
|||
|
|
"text/html": [
|
|||
|
|
"<div>\n",
|
|||
|
|
"<style scoped>\n",
|
|||
|
|
" .dataframe tbody tr th:only-of-type {\n",
|
|||
|
|
" vertical-align: middle;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe tbody tr th {\n",
|
|||
|
|
" vertical-align: top;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
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|
|||
|
|
" text-align: right;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"</style>\n",
|
|||
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|||
|
|
" <thead>\n",
|
|||
|
|
" <tr style=\"text-align: right;\">\n",
|
|||
|
|
" <th></th>\n",
|
|||
|
|
" <th>id_booking</th>\n",
|
|||
|
|
" <th>has_resolution_incident</th>\n",
|
|||
|
|
" <th>booking_created_date_utc</th>\n",
|
|||
|
|
" <th>booking_check_in_date_utc</th>\n",
|
|||
|
|
" <th>booking_check_out_date_utc</th>\n",
|
|||
|
|
" <th>guest_journey_started_date_utc</th>\n",
|
|||
|
|
" <th>id_accommodation</th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </thead>\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>0</th>\n",
|
|||
|
|
" <td>975057</td>\n",
|
|||
|
|
" <td>False</td>\n",
|
|||
|
|
" <td>2024-12-04</td>\n",
|
|||
|
|
" <td>2024-12-05</td>\n",
|
|||
|
|
" <td>2025-03-31</td>\n",
|
|||
|
|
" <td>None</td>\n",
|
|||
|
|
" <td>196871</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>1</th>\n",
|
|||
|
|
" <td>975059</td>\n",
|
|||
|
|
" <td>False</td>\n",
|
|||
|
|
" <td>2024-12-04</td>\n",
|
|||
|
|
" <td>2024-12-06</td>\n",
|
|||
|
|
" <td>2024-12-08</td>\n",
|
|||
|
|
" <td>2024-12-07</td>\n",
|
|||
|
|
" <td>196875</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>2</th>\n",
|
|||
|
|
" <td>975060</td>\n",
|
|||
|
|
" <td>False</td>\n",
|
|||
|
|
" <td>2024-12-04</td>\n",
|
|||
|
|
" <td>2025-01-26</td>\n",
|
|||
|
|
" <td>2025-01-29</td>\n",
|
|||
|
|
" <td>2024-12-07</td>\n",
|
|||
|
|
" <td>196876</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>3</th>\n",
|
|||
|
|
" <td>975061</td>\n",
|
|||
|
|
" <td>False</td>\n",
|
|||
|
|
" <td>2024-12-04</td>\n",
|
|||
|
|
" <td>2024-12-15</td>\n",
|
|||
|
|
" <td>2025-03-15</td>\n",
|
|||
|
|
" <td>None</td>\n",
|
|||
|
|
" <td>196872</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>4</th>\n",
|
|||
|
|
" <td>975062</td>\n",
|
|||
|
|
" <td>False</td>\n",
|
|||
|
|
" <td>2024-12-04</td>\n",
|
|||
|
|
" <td>2024-12-11</td>\n",
|
|||
|
|
" <td>2025-03-10</td>\n",
|
|||
|
|
" <td>2024-12-10</td>\n",
|
|||
|
|
" <td>196875</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>...</th>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>20275</th>\n",
|
|||
|
|
" <td>931096</td>\n",
|
|||
|
|
" <td>False</td>\n",
|
|||
|
|
" <td>2024-10-31</td>\n",
|
|||
|
|
" <td>2024-11-08</td>\n",
|
|||
|
|
" <td>2024-11-13</td>\n",
|
|||
|
|
" <td>None</td>\n",
|
|||
|
|
" <td>187560</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>20276</th>\n",
|
|||
|
|
" <td>931086</td>\n",
|
|||
|
|
" <td>False</td>\n",
|
|||
|
|
" <td>2024-10-31</td>\n",
|
|||
|
|
" <td>2024-11-15</td>\n",
|
|||
|
|
" <td>2024-11-18</td>\n",
|
|||
|
|
" <td>None</td>\n",
|
|||
|
|
" <td>187585</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>20277</th>\n",
|
|||
|
|
" <td>931082</td>\n",
|
|||
|
|
" <td>False</td>\n",
|
|||
|
|
" <td>2024-10-31</td>\n",
|
|||
|
|
" <td>2024-12-20</td>\n",
|
|||
|
|
" <td>2024-12-27</td>\n",
|
|||
|
|
" <td>None</td>\n",
|
|||
|
|
" <td>187585</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>20278</th>\n",
|
|||
|
|
" <td>926634</td>\n",
|
|||
|
|
" <td>False</td>\n",
|
|||
|
|
" <td>2024-10-27</td>\n",
|
|||
|
|
" <td>2025-02-13</td>\n",
|
|||
|
|
" <td>2025-02-16</td>\n",
|
|||
|
|
" <td>None</td>\n",
|
|||
|
|
" <td>185004</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>20279</th>\n",
|
|||
|
|
" <td>919656</td>\n",
|
|||
|
|
" <td>False</td>\n",
|
|||
|
|
" <td>2024-10-21</td>\n",
|
|||
|
|
" <td>2025-01-16</td>\n",
|
|||
|
|
" <td>2025-01-20</td>\n",
|
|||
|
|
" <td>None</td>\n",
|
|||
|
|
" <td>185004</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
"</table>\n",
|
|||
|
|
"<p>20280 rows × 7 columns</p>\n",
|
|||
|
|
"</div>"
|
|||
|
|
],
|
|||
|
|
"text/plain": [
|
|||
|
|
" id_booking has_resolution_incident booking_created_date_utc \\\n",
|
|||
|
|
"0 975057 False 2024-12-04 \n",
|
|||
|
|
"1 975059 False 2024-12-04 \n",
|
|||
|
|
"2 975060 False 2024-12-04 \n",
|
|||
|
|
"3 975061 False 2024-12-04 \n",
|
|||
|
|
"4 975062 False 2024-12-04 \n",
|
|||
|
|
"... ... ... ... \n",
|
|||
|
|
"20275 931096 False 2024-10-31 \n",
|
|||
|
|
"20276 931086 False 2024-10-31 \n",
|
|||
|
|
"20277 931082 False 2024-10-31 \n",
|
|||
|
|
"20278 926634 False 2024-10-27 \n",
|
|||
|
|
"20279 919656 False 2024-10-21 \n",
|
|||
|
|
"\n",
|
|||
|
|
" booking_check_in_date_utc booking_check_out_date_utc \\\n",
|
|||
|
|
"0 2024-12-05 2025-03-31 \n",
|
|||
|
|
"1 2024-12-06 2024-12-08 \n",
|
|||
|
|
"2 2025-01-26 2025-01-29 \n",
|
|||
|
|
"3 2024-12-15 2025-03-15 \n",
|
|||
|
|
"4 2024-12-11 2025-03-10 \n",
|
|||
|
|
"... ... ... \n",
|
|||
|
|
"20275 2024-11-08 2024-11-13 \n",
|
|||
|
|
"20276 2024-11-15 2024-11-18 \n",
|
|||
|
|
"20277 2024-12-20 2024-12-27 \n",
|
|||
|
|
"20278 2025-02-13 2025-02-16 \n",
|
|||
|
|
"20279 2025-01-16 2025-01-20 \n",
|
|||
|
|
"\n",
|
|||
|
|
" guest_journey_started_date_utc id_accommodation \n",
|
|||
|
|
"0 None 196871 \n",
|
|||
|
|
"1 2024-12-07 196875 \n",
|
|||
|
|
"2 2024-12-07 196876 \n",
|
|||
|
|
"3 None 196872 \n",
|
|||
|
|
"4 2024-12-10 196875 \n",
|
|||
|
|
"... ... ... \n",
|
|||
|
|
"20275 None 187560 \n",
|
|||
|
|
"20276 None 187585 \n",
|
|||
|
|
"20277 None 187585 \n",
|
|||
|
|
"20278 None 185004 \n",
|
|||
|
|
"20279 None 185004 \n",
|
|||
|
|
"\n",
|
|||
|
|
"[20280 rows x 7 columns]"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 37,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"df_bookings_and_claims "
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 38,
|
|||
|
|
"id": "2c9927b0",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": [
|
|||
|
|
"# Tokenizing friendly name\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Minimal preprocessing: lowercase, remove punctuation\n",
|
|||
|
|
"def preprocess(text):\n",
|
|||
|
|
" text = str(text).lower()\n",
|
|||
|
|
" text = text.translate(str.maketrans('', '', string.punctuation))\n",
|
|||
|
|
" return text\n",
|
|||
|
|
"\n",
|
|||
|
|
"df_listing_details['clean_name'] = df_listing_details['friendly_name'].apply(preprocess)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Basic length features\n",
|
|||
|
|
"df_listing_details['char_count'] = df_listing_details['clean_name'].apply(len)\n",
|
|||
|
|
"df_listing_details['word_count'] = df_listing_details['clean_name'].apply(lambda x: len(x.split()))\n",
|
|||
|
|
"df_listing_details['unique_word_count'] = df_listing_details['clean_name'].apply(lambda x: len(set(x.split())))\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Vectorize with TF-IDF (unigrams + bigrams)\n",
|
|||
|
|
"vectorizer = TfidfVectorizer(ngram_range=(1,2), max_features=1000)\n",
|
|||
|
|
"X_tfidf = vectorizer.fit_transform(df_listing_details['clean_name'])\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Dimensionality reduction to get dense features\n",
|
|||
|
|
"svd = TruncatedSVD(n_components=30, random_state=42)\n",
|
|||
|
|
"X_reduced = svd.fit_transform(X_tfidf)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Append the SVD components as features\n",
|
|||
|
|
"for i in range(X_reduced.shape[1]):\n",
|
|||
|
|
" df_listing_details[f'tfidf_svd_{i}'] = X_reduced[:, i]\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 39,
|
|||
|
|
"id": "0e845d47",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"application/vnd.microsoft.datawrangler.viewer.v0+json": {
|
|||
|
|
"columns": [
|
|||
|
|
{
|
|||
|
|
"name": "index",
|
|||
|
|
"rawType": "int64",
|
|||
|
|
"type": "integer"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "id_accommodation",
|
|||
|
|
"rawType": "int64",
|
|||
|
|
"type": "integer"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "friendly_name",
|
|||
|
|
"rawType": "object",
|
|||
|
|
"type": "unknown"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "clean_name",
|
|||
|
|
"rawType": "object",
|
|||
|
|
"type": "string"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "char_count",
|
|||
|
|
"rawType": "int64",
|
|||
|
|
"type": "integer"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "word_count",
|
|||
|
|
"rawType": "int64",
|
|||
|
|
"type": "integer"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "unique_word_count",
|
|||
|
|
"rawType": "int64",
|
|||
|
|
"type": "integer"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "tfidf_svd_0",
|
|||
|
|
"rawType": "float64",
|
|||
|
|
"type": "float"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "tfidf_svd_1",
|
|||
|
|
"rawType": "float64",
|
|||
|
|
"type": "float"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "tfidf_svd_2",
|
|||
|
|
"rawType": "float64",
|
|||
|
|
"type": "float"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "tfidf_svd_3",
|
|||
|
|
"rawType": "float64",
|
|||
|
|
"type": "float"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "tfidf_svd_4",
|
|||
|
|
"rawType": "float64",
|
|||
|
|
"type": "float"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "tfidf_svd_5",
|
|||
|
|
"rawType": "float64",
|
|||
|
|
"type": "float"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "tfidf_svd_6",
|
|||
|
|
"rawType": "float64",
|
|||
|
|
"type": "float"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "tfidf_svd_7",
|
|||
|
|
"rawType": "float64",
|
|||
|
|
"type": "float"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "tfidf_svd_8",
|
|||
|
|
"rawType": "float64",
|
|||
|
|
"type": "float"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "tfidf_svd_9",
|
|||
|
|
"rawType": "float64",
|
|||
|
|
"type": "float"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "tfidf_svd_10",
|
|||
|
|
"rawType": "float64",
|
|||
|
|
"type": "float"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "tfidf_svd_11",
|
|||
|
|
"rawType": "float64",
|
|||
|
|
"type": "float"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "tfidf_svd_12",
|
|||
|
|
"rawType": "float64",
|
|||
|
|
"type": "float"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "tfidf_svd_13",
|
|||
|
|
"rawType": "float64",
|
|||
|
|
"type": "float"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "tfidf_svd_14",
|
|||
|
|
"rawType": "float64",
|
|||
|
|
"type": "float"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "tfidf_svd_15",
|
|||
|
|
"rawType": "float64",
|
|||
|
|
"type": "float"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "tfidf_svd_16",
|
|||
|
|
"rawType": "float64",
|
|||
|
|
"type": "float"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "tfidf_svd_17",
|
|||
|
|
"rawType": "float64",
|
|||
|
|
"type": "float"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "tfidf_svd_18",
|
|||
|
|
"rawType": "float64",
|
|||
|
|
"type": "float"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "tfidf_svd_19",
|
|||
|
|
"rawType": "float64",
|
|||
|
|
"type": "float"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "tfidf_svd_20",
|
|||
|
|
"rawType": "float64",
|
|||
|
|
"type": "float"
|
|||
|
|
},
|
|||
|
|
{
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|
|
"Poplar",
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|||
|
|
"poplar",
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|||
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|
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|||
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|||
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],
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|
[
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|||
|
|
"9",
|
|||
|
|
"261554",
|
|||
|
|
"Steps to Beach | Linens + Towels included | AC",
|
|||
|
|
"steps to beach linens towels included ac",
|
|||
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|
"43",
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|||
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|
"7",
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|||
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|
"7",
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|||
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|
[
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|||
|
|
"10",
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|||
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|
"33910",
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|||
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|
"WAR-2",
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|||
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|
"war2",
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|||
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|
"4",
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|||
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|
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|||
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|
[
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|||
|
|
"11",
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|||
|
|
"277505",
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|||
|
|
"Incredible SeaPoint Oasis W Pool",
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|||
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|
"incredible seapoint oasis w pool",
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|||
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|
"32",
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|||
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|
"5",
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|||
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|
"5",
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|||
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|
[
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|||
|
|
"12",
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|||
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|
"277507",
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|||
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|
"181 Palisades",
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|||
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|
"181 palisades",
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|||
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|
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|||
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|||
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|||
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|||
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|
[
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|||
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|
"13",
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|||
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|
"277508",
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|||
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|
"585 Jacks -3 Bedroom",
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|||
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|
"585 jacks 3 bedroom",
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|||
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|
"19",
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|||
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|
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|||
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|||
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|||
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[
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|||
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|
"14",
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|||
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|
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|||
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|||
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|||
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|
[
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|||
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|
"15",
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|||
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|
"48607",
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|||
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|
"200 Palms",
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|||
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|
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|||
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|
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|||
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|
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|
[
|
|||
|
|
"16",
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|||
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|
"48896",
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|||
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|
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|
|||
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|
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|
|||
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|
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|||
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|
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|||
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|
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|||
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|||
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|||
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|||
|
|
[
|
|||
|
|
"17",
|
|||
|
|
"83345",
|
|||
|
|
"King Bed | Private Parking | Strong WiFi",
|
|||
|
|
"king bed private parking strong wifi",
|
|||
|
|
"38",
|
|||
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|
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|||
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|
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|||
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|||
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|||
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|
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|||
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|
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|||
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|
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|||
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|
],
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|||
|
|
[
|
|||
|
|
"18",
|
|||
|
|
"84166",
|
|||
|
|
"Cozy Escape | Strong Wi-Fi | Prime Location",
|
|||
|
|
"cozy escape strong wifi prime location",
|
|||
|
|
"40",
|
|||
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|
"6",
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|||
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|
"6",
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|
[
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|||
|
|
"19",
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|||
|
|
"48900",
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|||
|
|
"Bakers Passage 1",
|
|||
|
|
"bakers passage 1",
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|||
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|
"16",
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|||
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|
"3",
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|
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|||
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|
[
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|||
|
|
"20",
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|||
|
|
"48902",
|
|||
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|
"Bakers Passage 2",
|
|||
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|
"bakers passage 2",
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|||
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|
"16",
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|||
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|
"3",
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|
"3",
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|||
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],
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|||
|
|
[
|
|||
|
|
"21",
|
|||
|
|
"105022",
|
|||
|
|
"Flamingo Cove 7",
|
|||
|
|
"flamingo cove 7",
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|||
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|
"15",
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|||
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|
"3",
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|||
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|
"3",
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|
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|||
|
|
[
|
|||
|
|
"22",
|
|||
|
|
"51902",
|
|||
|
|
"La Camilla, comfortable private villa with pool",
|
|||
|
|
"la camilla comfortable private villa with pool",
|
|||
|
|
"46",
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|||
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|
"7",
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|||
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|
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
|
|
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|||
|
|
[
|
|||
|
|
"23",
|
|||
|
|
"105038",
|
|||
|
|
"Casa Prieta",
|
|||
|
|
"casa prieta",
|
|||
|
|
"11",
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|||
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|
"2",
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|||
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|
"2",
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|||
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|
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|||
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|||
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|
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|||
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|||
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|||
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|
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|
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|||
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|
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|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"24",
|
|||
|
|
"105039",
|
|||
|
|
"Casa Ironbark",
|
|||
|
|
"casa ironbark",
|
|||
|
|
"13",
|
|||
|
|
"2",
|
|||
|
|
"2",
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|||
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|
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|||
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|||
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|||
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|
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|||
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|
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|||
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|||
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|||
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"25",
|
|||
|
|
"105041",
|
|||
|
|
"Villa Catalina #8",
|
|||
|
|
"villa catalina 8",
|
|||
|
|
"16",
|
|||
|
|
"3",
|
|||
|
|
"3",
|
|||
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|
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|||
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|
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|||
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|||
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|||
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|
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|||
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|
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|||
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|||
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|
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|||
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|||
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|||
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|
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|
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|||
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|
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|||
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|
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|||
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|||
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|||
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|||
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|
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|||
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|||
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|||
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|
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|||
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|
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|||
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|
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|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"26",
|
|||
|
|
"51921",
|
|||
|
|
"Agriturismo Molino Verde, modern and comfortable",
|
|||
|
|
"agriturismo molino verde modern and comfortable",
|
|||
|
|
"47",
|
|||
|
|
"6",
|
|||
|
|
"6",
|
|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|
|||
|
|
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|
|||
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|||
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|
[
|
|||
|
|
"27",
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|||
|
|
"51926",
|
|||
|
|
"Villa Farneta, large luxury villa with fenced pool",
|
|||
|
|
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|
|||
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|
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|||
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[
|
|||
|
|
"28",
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|||
|
|
"51928",
|
|||
|
|
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|
|||
|
|
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|
|||
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|
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|
[
|
|||
|
|
"29",
|
|||
|
|
"51938",
|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|||
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|||
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|||
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|
[
|
|||
|
|
"30",
|
|||
|
|
"51941",
|
|||
|
|
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|
|||
|
|
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|
|||
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|
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|||
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|||
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|||
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|||
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|
[
|
|||
|
|
"31",
|
|||
|
|
"51942",
|
|||
|
|
"La Pergola, agriturismo with large pool",
|
|||
|
|
"la pergola agriturismo with large pool",
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|||
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|
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|||
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|
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|||
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|||
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|||
|
|
[
|
|||
|
|
"32",
|
|||
|
|
"52082",
|
|||
|
|
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|
|||
|
|
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|
|||
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|
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|||
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|
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|||
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|||
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|||
|
|
[
|
|||
|
|
"33",
|
|||
|
|
"52083",
|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|||
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|
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|||
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|
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|||
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|||
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|
[
|
|||
|
|
"34",
|
|||
|
|
"105055",
|
|||
|
|
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|
|||
|
|
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|
|||
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|
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|||
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|
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|
|||
|
|
"0.002509402300183974"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"35",
|
|||
|
|
"105056",
|
|||
|
|
"Casa Mango",
|
|||
|
|
"casa mango",
|
|||
|
|
"10",
|
|||
|
|
"2",
|
|||
|
|
"2",
|
|||
|
|
"0.00833919328416586",
|
|||
|
|
"-0.03278268995755237",
|
|||
|
|
"-0.000286235909429752",
|
|||
|
|
"-0.01719667352971122",
|
|||
|
|
"-0.0024463937540799754",
|
|||
|
|
"0.005318977501265963",
|
|||
|
|
"-0.06018469418609671",
|
|||
|
|
"0.02737170641307136",
|
|||
|
|
"-0.03883186523284652",
|
|||
|
|
"0.8825292227416641",
|
|||
|
|
"0.43296326469419283",
|
|||
|
|
"-0.009506828680307082",
|
|||
|
|
"-0.07218032749992064",
|
|||
|
|
"0.045356926476299575",
|
|||
|
|
"0.0013101185109432218",
|
|||
|
|
"-0.04169698164412125",
|
|||
|
|
"-0.008905818293634571",
|
|||
|
|
"0.03296062345028381",
|
|||
|
|
"-0.014074450513948749",
|
|||
|
|
"-0.010259462101118586",
|
|||
|
|
"-0.0007853519779285374",
|
|||
|
|
"-0.0024170040787492705",
|
|||
|
|
"0.01957309267931248",
|
|||
|
|
"-0.00895385126435955",
|
|||
|
|
"0.017673141492270665",
|
|||
|
|
"-0.00488709030316019",
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|||
|
|
"0.008702225600353242",
|
|||
|
|
"0.01122997891016899",
|
|||
|
|
"-0.007553132909815195",
|
|||
|
|
"-0.007814798648288476"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"36",
|
|||
|
|
"105059",
|
|||
|
|
"Marina Resort #502",
|
|||
|
|
"marina resort 502",
|
|||
|
|
"17",
|
|||
|
|
"3",
|
|||
|
|
"3",
|
|||
|
|
"0.008171699583572396",
|
|||
|
|
"-0.0227802970026047",
|
|||
|
|
"-0.0005163782477629944",
|
|||
|
|
"-0.011485139451001186",
|
|||
|
|
"0.02025094618675094",
|
|||
|
|
"-0.012406694027830725",
|
|||
|
|
"0.0029792698227323194",
|
|||
|
|
"-0.006822657273073952",
|
|||
|
|
"0.011562357950796747",
|
|||
|
|
"0.02692559560330674",
|
|||
|
|
"-0.0027148747186378714",
|
|||
|
|
"-0.008809656963187145",
|
|||
|
|
"0.03246604554754141",
|
|||
|
|
"0.02253309861734156",
|
|||
|
|
"0.016990540282637856",
|
|||
|
|
"0.10533585518524495",
|
|||
|
|
"0.0427952974230254",
|
|||
|
|
"-0.04587202775897223",
|
|||
|
|
"0.010272769310035509",
|
|||
|
|
"0.05757337749248109",
|
|||
|
|
"-0.052974340790144694",
|
|||
|
|
"-0.03797583241318291",
|
|||
|
|
"-0.006340099953806995",
|
|||
|
|
"0.03646973897951955",
|
|||
|
|
"0.014392734644564652",
|
|||
|
|
"-0.033584479812595235",
|
|||
|
|
"0.02126952049732214",
|
|||
|
|
"-0.0327923431253457",
|
|||
|
|
"0.029107526379160774",
|
|||
|
|
"-0.006864097669665933"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"37",
|
|||
|
|
"105062",
|
|||
|
|
"Casa Tranquility",
|
|||
|
|
"casa tranquility",
|
|||
|
|
"16",
|
|||
|
|
"2",
|
|||
|
|
"2",
|
|||
|
|
"0.006473783230104777",
|
|||
|
|
"-0.023454205467309114",
|
|||
|
|
"-0.00034391697755243016",
|
|||
|
|
"-0.012253041857486362",
|
|||
|
|
"0.0015553166319760743",
|
|||
|
|
"0.00021542493680614273",
|
|||
|
|
"-0.03987092506597992",
|
|||
|
|
"0.010469839211077053",
|
|||
|
|
"-0.021813566472350096",
|
|||
|
|
"0.5528210304353214",
|
|||
|
|
"0.26949105865309086",
|
|||
|
|
"-0.00913059106884039",
|
|||
|
|
"-0.047932820987733035",
|
|||
|
|
"0.030283945272475753",
|
|||
|
|
"-0.0015207986551071901",
|
|||
|
|
"-0.018976845604350877",
|
|||
|
|
"-0.0037988500981941675",
|
|||
|
|
"0.01534792605194138",
|
|||
|
|
"-0.0049339058056842265",
|
|||
|
|
"-0.007218054456388164",
|
|||
|
|
"4.541889694994225e-05",
|
|||
|
|
"-0.0006560524285581598",
|
|||
|
|
"0.010107525988090614",
|
|||
|
|
"-0.0026947242755388586",
|
|||
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|
"0.013696951552949659",
|
|||
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|
"-0.00042024384284062005",
|
|||
|
|
"0.0041861703255469725",
|
|||
|
|
"0.0036645502137903087",
|
|||
|
|
"-0.00345405820824307",
|
|||
|
|
"-0.011176834316694612"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"38",
|
|||
|
|
"105073",
|
|||
|
|
"La Antigua 36",
|
|||
|
|
"la antigua 36",
|
|||
|
|
"13",
|
|||
|
|
"3",
|
|||
|
|
"3",
|
|||
|
|
"0.009299959586004072",
|
|||
|
|
"-0.019090602381279253",
|
|||
|
|
"-0.011920072386306864",
|
|||
|
|
"0.00434740986655745",
|
|||
|
|
"0.03310933627038319",
|
|||
|
|
"0.004706275412120669",
|
|||
|
|
"-0.012648733079146175",
|
|||
|
|
"-0.006915236062084281",
|
|||
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|
"-0.009560553742609078",
|
|||
|
|
"0.02195843645273749",
|
|||
|
|
"0.02130755673567668",
|
|||
|
|
"0.00037699925952072873",
|
|||
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|
"0.023269163220454508",
|
|||
|
|
"0.009190557549054014",
|
|||
|
|
"-0.002482976170051882",
|
|||
|
|
"0.01666971959755067",
|
|||
|
|
"-0.04622746497426695",
|
|||
|
|
"0.02315701577718638",
|
|||
|
|
"-0.013363337884269246",
|
|||
|
|
"0.01045728799539511",
|
|||
|
|
"0.012529237565662392",
|
|||
|
|
"-0.0014316488185984165",
|
|||
|
|
"-0.005537778218539432",
|
|||
|
|
"-0.0280471607370384",
|
|||
|
|
"-0.013238088960290335",
|
|||
|
|
"0.04237538116227747",
|
|||
|
|
"-0.000725689346784577",
|
|||
|
|
"0.01813419284971483",
|
|||
|
|
"-0.009187819194969006",
|
|||
|
|
"-0.011503534162050971"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"39",
|
|||
|
|
"105077",
|
|||
|
|
"La Antigua 28",
|
|||
|
|
"la antigua 28",
|
|||
|
|
"13",
|
|||
|
|
"3",
|
|||
|
|
"3",
|
|||
|
|
"0.009299959586004072",
|
|||
|
|
"-0.019090602381279253",
|
|||
|
|
"-0.011920072386306864",
|
|||
|
|
"0.00434740986655745",
|
|||
|
|
"0.03310933627038319",
|
|||
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|
"0.004706275412120669",
|
|||
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|
"-0.012648733079146175",
|
|||
|
|
"-0.006915236062084281",
|
|||
|
|
"-0.009560553742609078",
|
|||
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|
"0.02195843645273749",
|
|||
|
|
"0.02130755673567668",
|
|||
|
|
"0.00037699925952072873",
|
|||
|
|
"0.023269163220454508",
|
|||
|
|
"0.009190557549054014",
|
|||
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|
"-0.002482976170051882",
|
|||
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|
"0.01666971959755067",
|
|||
|
|
"-0.04622746497426695",
|
|||
|
|
"0.02315701577718638",
|
|||
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|
"-0.013363337884269246",
|
|||
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|
"0.01045728799539511",
|
|||
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|
"0.012529237565662392",
|
|||
|
|
"-0.0014316488185984165",
|
|||
|
|
"-0.005537778218539432",
|
|||
|
|
"-0.0280471607370384",
|
|||
|
|
"-0.013238088960290335",
|
|||
|
|
"0.04237538116227747",
|
|||
|
|
"-0.000725689346784577",
|
|||
|
|
"0.01813419284971483",
|
|||
|
|
"-0.009187819194969006",
|
|||
|
|
"-0.011503534162050971"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"40",
|
|||
|
|
"53623",
|
|||
|
|
"2 Napolean Richmond",
|
|||
|
|
"2 napolean richmond",
|
|||
|
|
"19",
|
|||
|
|
"3",
|
|||
|
|
"3",
|
|||
|
|
"0.0",
|
|||
|
|
"0.0",
|
|||
|
|
"0.0",
|
|||
|
|
"0.0",
|
|||
|
|
"0.0",
|
|||
|
|
"0.0",
|
|||
|
|
"0.0",
|
|||
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|
"0.0",
|
|||
|
|
"0.0",
|
|||
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|
"0.0",
|
|||
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|
"0.0",
|
|||
|
|
"0.0",
|
|||
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|
"0.0",
|
|||
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|
"0.0",
|
|||
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|
"0.0",
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|||
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|
"0.0",
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|||
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|
"0.0",
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|||
|
|
"0.0",
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|||
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|
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|||
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|
"0.0",
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|||
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|
"0.0",
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|||
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|
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|||
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|
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|||
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|
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|||
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|
"0.0",
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|
|||
|
|
"0.0"
|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"41",
|
|||
|
|
"53625",
|
|||
|
|
"81 Miramar HiddenBay",
|
|||
|
|
"81 miramar hiddenbay",
|
|||
|
|
"20",
|
|||
|
|
"3",
|
|||
|
|
"3",
|
|||
|
|
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|
|||
|
|
"-0.0029586712513799515",
|
|||
|
|
"0.0009615538131952004",
|
|||
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|
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|
|||
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|
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|||
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|
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|||
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|
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|
|||
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|
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|
|||
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|
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|
|||
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|
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|
|||
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|
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|
|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|
|||
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|
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|
|||
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|
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|
|||
|
|
"3.063964016197705e-05",
|
|||
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|
"-0.006992245246129906",
|
|||
|
|
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|
|||
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|
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|
|||
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|
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|
|||
|
|
"-6.975151471279348e-05",
|
|||
|
|
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|||
|
|
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|
|||
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|
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|
|||
|
|
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|
|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"42",
|
|||
|
|
"53627",
|
|||
|
|
"24 Marlborough S/Bay",
|
|||
|
|
"24 marlborough sbay",
|
|||
|
|
"19",
|
|||
|
|
"3",
|
|||
|
|
"3",
|
|||
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|
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|
|||
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|
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|||
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|
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|
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|||
|
|
],
|
|||
|
|
[
|
|||
|
|
"43",
|
|||
|
|
"53629",
|
|||
|
|
"326 Churchill Ave SB",
|
|||
|
|
"326 churchill ave sb",
|
|||
|
|
"20",
|
|||
|
|
"4",
|
|||
|
|
"4",
|
|||
|
|
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|
|||
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|
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|||
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|
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|||
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|
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|
|||
|
|
"8.476333617688126e-05",
|
|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|
|||
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|
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|
|||
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|
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|
|||
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"text/html": [
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|||
|
|
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|
|||
|
|
" <th></th>\n",
|
|||
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|
" <th>id_accommodation</th>\n",
|
|||
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|
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|
|||
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|
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|
|||
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|
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|
|||
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|
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|
|||
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|
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|
|||
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|
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|
|||
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|
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|
|||
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|
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|
|||
|
|
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|
|||
|
|
" <th>...</th>\n",
|
|||
|
|
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|
|||
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|
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|
|||
|
|
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|
|||
|
|
" <th>tfidf_svd_23</th>\n",
|
|||
|
|
" <th>tfidf_svd_24</th>\n",
|
|||
|
|
" <th>tfidf_svd_25</th>\n",
|
|||
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|
" <th>tfidf_svd_26</th>\n",
|
|||
|
|
" <th>tfidf_svd_27</th>\n",
|
|||
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|
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|
|||
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|
" <th>tfidf_svd_29</th>\n",
|
|||
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|
" </tr>\n",
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|||
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|
" </thead>\n",
|
|||
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|
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|||
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|
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|||
|
|
" <th>0</th>\n",
|
|||
|
|
" <td>10368</td>\n",
|
|||
|
|
" <td>Maddox St</td>\n",
|
|||
|
|
" <td>maddox st</td>\n",
|
|||
|
|
" <td>9</td>\n",
|
|||
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|
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|||
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|
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|||
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|
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|||
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|
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|
|||
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|
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|||
|
|
" <td>0.009316</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>0.004607</td>\n",
|
|||
|
|
" <td>-0.010669</td>\n",
|
|||
|
|
" <td>0.022564</td>\n",
|
|||
|
|
" <td>0.009577</td>\n",
|
|||
|
|
" <td>-0.004964</td>\n",
|
|||
|
|
" <td>0.002377</td>\n",
|
|||
|
|
" <td>0.008182</td>\n",
|
|||
|
|
" <td>0.020271</td>\n",
|
|||
|
|
" <td>0.011362</td>\n",
|
|||
|
|
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|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>1</th>\n",
|
|||
|
|
" <td>11059</td>\n",
|
|||
|
|
" <td>HIL-1</td>\n",
|
|||
|
|
" <td>hil1</td>\n",
|
|||
|
|
" <td>4</td>\n",
|
|||
|
|
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|
|||
|
|
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|||
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|
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|||
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|
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|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>2</th>\n",
|
|||
|
|
" <td>14345</td>\n",
|
|||
|
|
" <td>SUS-2</td>\n",
|
|||
|
|
" <td>sus2</td>\n",
|
|||
|
|
" <td>4</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>3</th>\n",
|
|||
|
|
" <td>277469</td>\n",
|
|||
|
|
" <td>4000 sqft Lakefront Retreat | Private Hot Tub #NH</td>\n",
|
|||
|
|
" <td>4000 sqft lakefront retreat private hot tub nh</td>\n",
|
|||
|
|
" <td>47</td>\n",
|
|||
|
|
" <td>8</td>\n",
|
|||
|
|
" <td>8</td>\n",
|
|||
|
|
" <td>0.118079</td>\n",
|
|||
|
|
" <td>-0.331729</td>\n",
|
|||
|
|
" <td>-0.036329</td>\n",
|
|||
|
|
" <td>-0.111210</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>-0.036141</td>\n",
|
|||
|
|
" <td>-0.052405</td>\n",
|
|||
|
|
" <td>0.093227</td>\n",
|
|||
|
|
" <td>0.019269</td>\n",
|
|||
|
|
" <td>-0.006774</td>\n",
|
|||
|
|
" <td>0.070027</td>\n",
|
|||
|
|
" <td>0.102554</td>\n",
|
|||
|
|
" <td>-0.007378</td>\n",
|
|||
|
|
" <td>0.041281</td>\n",
|
|||
|
|
" <td>0.015410</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>4</th>\n",
|
|||
|
|
" <td>28561</td>\n",
|
|||
|
|
" <td>LAN-3</td>\n",
|
|||
|
|
" <td>lan3</td>\n",
|
|||
|
|
" <td>4</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" <td>0.000000</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>...</th>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>3627</th>\n",
|
|||
|
|
" <td>197269</td>\n",
|
|||
|
|
" <td>Luxury Glamping | Hot Tub, Firepit & Grill</td>\n",
|
|||
|
|
" <td>luxury glamping hot tub firepit grill</td>\n",
|
|||
|
|
" <td>39</td>\n",
|
|||
|
|
" <td>6</td>\n",
|
|||
|
|
" <td>6</td>\n",
|
|||
|
|
" <td>0.086114</td>\n",
|
|||
|
|
" <td>-0.296208</td>\n",
|
|||
|
|
" <td>-0.030307</td>\n",
|
|||
|
|
" <td>-0.076856</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>0.100707</td>\n",
|
|||
|
|
" <td>0.100131</td>\n",
|
|||
|
|
" <td>-0.025985</td>\n",
|
|||
|
|
" <td>0.049267</td>\n",
|
|||
|
|
" <td>0.009551</td>\n",
|
|||
|
|
" <td>0.043639</td>\n",
|
|||
|
|
" <td>0.076095</td>\n",
|
|||
|
|
" <td>-0.009465</td>\n",
|
|||
|
|
" <td>0.057498</td>\n",
|
|||
|
|
" <td>0.044279</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>3628</th>\n",
|
|||
|
|
" <td>198130</td>\n",
|
|||
|
|
" <td>Brick Haven House: 10min Walk to Shakespeare F...</td>\n",
|
|||
|
|
" <td>brick haven house 10min walk to shakespeare fest</td>\n",
|
|||
|
|
" <td>48</td>\n",
|
|||
|
|
" <td>8</td>\n",
|
|||
|
|
" <td>8</td>\n",
|
|||
|
|
" <td>0.152979</td>\n",
|
|||
|
|
" <td>-0.182920</td>\n",
|
|||
|
|
" <td>0.248066</td>\n",
|
|||
|
|
" <td>0.178298</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>0.018835</td>\n",
|
|||
|
|
" <td>0.034150</td>\n",
|
|||
|
|
" <td>-0.033340</td>\n",
|
|||
|
|
" <td>0.000108</td>\n",
|
|||
|
|
" <td>-0.001094</td>\n",
|
|||
|
|
" <td>0.028110</td>\n",
|
|||
|
|
" <td>0.066771</td>\n",
|
|||
|
|
" <td>-0.008312</td>\n",
|
|||
|
|
" <td>0.007832</td>\n",
|
|||
|
|
" <td>0.015454</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>3629</th>\n",
|
|||
|
|
" <td>205403</td>\n",
|
|||
|
|
" <td>NO FEES! Pool+Hot Tub/Volley&Bocce Ball+Firepit</td>\n",
|
|||
|
|
" <td>no fees poolhot tubvolleybocce ballfirepit</td>\n",
|
|||
|
|
" <td>42</td>\n",
|
|||
|
|
" <td>5</td>\n",
|
|||
|
|
" <td>5</td>\n",
|
|||
|
|
" <td>0.005290</td>\n",
|
|||
|
|
" <td>-0.007561</td>\n",
|
|||
|
|
" <td>0.000197</td>\n",
|
|||
|
|
" <td>-0.004329</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>0.004708</td>\n",
|
|||
|
|
" <td>-0.005517</td>\n",
|
|||
|
|
" <td>0.004417</td>\n",
|
|||
|
|
" <td>-0.006661</td>\n",
|
|||
|
|
" <td>-0.006363</td>\n",
|
|||
|
|
" <td>-0.003132</td>\n",
|
|||
|
|
" <td>-0.005854</td>\n",
|
|||
|
|
" <td>0.012305</td>\n",
|
|||
|
|
" <td>-0.005357</td>\n",
|
|||
|
|
" <td>-0.006805</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>3630</th>\n",
|
|||
|
|
" <td>263762</td>\n",
|
|||
|
|
" <td>Brasada Ranch | Hot Tub | Guest Casita | 5 Bed</td>\n",
|
|||
|
|
" <td>brasada ranch hot tub guest casita 5 bed</td>\n",
|
|||
|
|
" <td>43</td>\n",
|
|||
|
|
" <td>8</td>\n",
|
|||
|
|
" <td>8</td>\n",
|
|||
|
|
" <td>0.076370</td>\n",
|
|||
|
|
" <td>-0.220398</td>\n",
|
|||
|
|
" <td>-0.006391</td>\n",
|
|||
|
|
" <td>-0.042772</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>0.033248</td>\n",
|
|||
|
|
" <td>0.035303</td>\n",
|
|||
|
|
" <td>0.025965</td>\n",
|
|||
|
|
" <td>0.063088</td>\n",
|
|||
|
|
" <td>0.014874</td>\n",
|
|||
|
|
" <td>0.003055</td>\n",
|
|||
|
|
" <td>-0.013777</td>\n",
|
|||
|
|
" <td>-0.012340</td>\n",
|
|||
|
|
" <td>-0.018223</td>\n",
|
|||
|
|
" <td>0.016823</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>3631</th>\n",
|
|||
|
|
" <td>267589</td>\n",
|
|||
|
|
" <td>10% Off July 6-10 • Creek • 3 Dogs • Fenced Yard</td>\n",
|
|||
|
|
" <td>10 off july 610 • creek • 3 dogs • fenced yard</td>\n",
|
|||
|
|
" <td>46</td>\n",
|
|||
|
|
" <td>12</td>\n",
|
|||
|
|
" <td>10</td>\n",
|
|||
|
|
" <td>0.015270</td>\n",
|
|||
|
|
" <td>-0.046531</td>\n",
|
|||
|
|
" <td>0.000051</td>\n",
|
|||
|
|
" <td>-0.017550</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>-0.074968</td>\n",
|
|||
|
|
" <td>-0.004176</td>\n",
|
|||
|
|
" <td>-0.051906</td>\n",
|
|||
|
|
" <td>-0.114376</td>\n",
|
|||
|
|
" <td>-0.010725</td>\n",
|
|||
|
|
" <td>-0.071384</td>\n",
|
|||
|
|
" <td>0.044820</td>\n",
|
|||
|
|
" <td>-0.035996</td>\n",
|
|||
|
|
" <td>-0.038547</td>\n",
|
|||
|
|
" <td>0.000560</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
"</table>\n",
|
|||
|
|
"<p>3632 rows × 36 columns</p>\n",
|
|||
|
|
"</div>"
|
|||
|
|
],
|
|||
|
|
"text/plain": [
|
|||
|
|
" id_accommodation friendly_name \\\n",
|
|||
|
|
"0 10368 Maddox St \n",
|
|||
|
|
"1 11059 HIL-1 \n",
|
|||
|
|
"2 14345 SUS-2 \n",
|
|||
|
|
"3 277469 4000 sqft Lakefront Retreat | Private Hot Tub #NH \n",
|
|||
|
|
"4 28561 LAN-3 \n",
|
|||
|
|
"... ... ... \n",
|
|||
|
|
"3627 197269 Luxury Glamping | Hot Tub, Firepit & Grill \n",
|
|||
|
|
"3628 198130 Brick Haven House: 10min Walk to Shakespeare F... \n",
|
|||
|
|
"3629 205403 NO FEES! Pool+Hot Tub/Volley&Bocce Ball+Firepit \n",
|
|||
|
|
"3630 263762 Brasada Ranch | Hot Tub | Guest Casita | 5 Bed \n",
|
|||
|
|
"3631 267589 10% Off July 6-10 • Creek • 3 Dogs • Fenced Yard \n",
|
|||
|
|
"\n",
|
|||
|
|
" clean_name char_count \\\n",
|
|||
|
|
"0 maddox st 9 \n",
|
|||
|
|
"1 hil1 4 \n",
|
|||
|
|
"2 sus2 4 \n",
|
|||
|
|
"3 4000 sqft lakefront retreat private hot tub nh 47 \n",
|
|||
|
|
"4 lan3 4 \n",
|
|||
|
|
"... ... ... \n",
|
|||
|
|
"3627 luxury glamping hot tub firepit grill 39 \n",
|
|||
|
|
"3628 brick haven house 10min walk to shakespeare fest 48 \n",
|
|||
|
|
"3629 no fees poolhot tubvolleybocce ballfirepit 42 \n",
|
|||
|
|
"3630 brasada ranch hot tub guest casita 5 bed 43 \n",
|
|||
|
|
"3631 10 off july 610 • creek • 3 dogs • fenced yard 46 \n",
|
|||
|
|
"\n",
|
|||
|
|
" word_count unique_word_count tfidf_svd_0 tfidf_svd_1 tfidf_svd_2 \\\n",
|
|||
|
|
"0 2 2 0.010855 -0.029763 -0.021051 \n",
|
|||
|
|
"1 1 1 0.000000 0.000000 0.000000 \n",
|
|||
|
|
"2 1 1 0.000000 0.000000 0.000000 \n",
|
|||
|
|
"3 8 8 0.118079 -0.331729 -0.036329 \n",
|
|||
|
|
"4 1 1 0.000000 0.000000 0.000000 \n",
|
|||
|
|
"... ... ... ... ... ... \n",
|
|||
|
|
"3627 6 6 0.086114 -0.296208 -0.030307 \n",
|
|||
|
|
"3628 8 8 0.152979 -0.182920 0.248066 \n",
|
|||
|
|
"3629 5 5 0.005290 -0.007561 0.000197 \n",
|
|||
|
|
"3630 8 8 0.076370 -0.220398 -0.006391 \n",
|
|||
|
|
"3631 12 10 0.015270 -0.046531 0.000051 \n",
|
|||
|
|
"\n",
|
|||
|
|
" tfidf_svd_3 ... tfidf_svd_20 tfidf_svd_21 tfidf_svd_22 \\\n",
|
|||
|
|
"0 0.009316 ... 0.004607 -0.010669 0.022564 \n",
|
|||
|
|
"1 0.000000 ... 0.000000 0.000000 0.000000 \n",
|
|||
|
|
"2 0.000000 ... 0.000000 0.000000 0.000000 \n",
|
|||
|
|
"3 -0.111210 ... -0.036141 -0.052405 0.093227 \n",
|
|||
|
|
"4 0.000000 ... 0.000000 0.000000 0.000000 \n",
|
|||
|
|
"... ... ... ... ... ... \n",
|
|||
|
|
"3627 -0.076856 ... 0.100707 0.100131 -0.025985 \n",
|
|||
|
|
"3628 0.178298 ... 0.018835 0.034150 -0.033340 \n",
|
|||
|
|
"3629 -0.004329 ... 0.004708 -0.005517 0.004417 \n",
|
|||
|
|
"3630 -0.042772 ... 0.033248 0.035303 0.025965 \n",
|
|||
|
|
"3631 -0.017550 ... -0.074968 -0.004176 -0.051906 \n",
|
|||
|
|
"\n",
|
|||
|
|
" tfidf_svd_23 tfidf_svd_24 tfidf_svd_25 tfidf_svd_26 tfidf_svd_27 \\\n",
|
|||
|
|
"0 0.009577 -0.004964 0.002377 0.008182 0.020271 \n",
|
|||
|
|
"1 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
|
|||
|
|
"2 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
|
|||
|
|
"3 0.019269 -0.006774 0.070027 0.102554 -0.007378 \n",
|
|||
|
|
"4 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
|
|||
|
|
"... ... ... ... ... ... \n",
|
|||
|
|
"3627 0.049267 0.009551 0.043639 0.076095 -0.009465 \n",
|
|||
|
|
"3628 0.000108 -0.001094 0.028110 0.066771 -0.008312 \n",
|
|||
|
|
"3629 -0.006661 -0.006363 -0.003132 -0.005854 0.012305 \n",
|
|||
|
|
"3630 0.063088 0.014874 0.003055 -0.013777 -0.012340 \n",
|
|||
|
|
"3631 -0.114376 -0.010725 -0.071384 0.044820 -0.035996 \n",
|
|||
|
|
"\n",
|
|||
|
|
" tfidf_svd_28 tfidf_svd_29 \n",
|
|||
|
|
"0 0.011362 0.014186 \n",
|
|||
|
|
"1 0.000000 0.000000 \n",
|
|||
|
|
"2 0.000000 0.000000 \n",
|
|||
|
|
"3 0.041281 0.015410 \n",
|
|||
|
|
"4 0.000000 0.000000 \n",
|
|||
|
|
"... ... ... \n",
|
|||
|
|
"3627 0.057498 0.044279 \n",
|
|||
|
|
"3628 0.007832 0.015454 \n",
|
|||
|
|
"3629 -0.005357 -0.006805 \n",
|
|||
|
|
"3630 -0.018223 0.016823 \n",
|
|||
|
|
"3631 -0.038547 0.000560 \n",
|
|||
|
|
"\n",
|
|||
|
|
"[3632 rows x 36 columns]"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 39,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"df_listing_details"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "18bbd6f2",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"# Relating vars"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "2d4d57c0",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"## Time related vars"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "5a701a5f",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"### Boruta"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 13,
|
|||
|
|
"id": "63a15eb4",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"Iteration: \t1 / 100\n",
|
|||
|
|
"Confirmed: \t0\n",
|
|||
|
|
"Tentative: \t15\n",
|
|||
|
|
"Rejected: \t0\n",
|
|||
|
|
"Iteration: \t2 / 100\n",
|
|||
|
|
"Confirmed: \t0\n",
|
|||
|
|
"Tentative: \t15\n",
|
|||
|
|
"Rejected: \t0\n",
|
|||
|
|
"Iteration: \t3 / 100\n",
|
|||
|
|
"Confirmed: \t0\n",
|
|||
|
|
"Tentative: \t15\n",
|
|||
|
|
"Rejected: \t0\n",
|
|||
|
|
"Iteration: \t4 / 100\n",
|
|||
|
|
"Confirmed: \t0\n",
|
|||
|
|
"Tentative: \t15\n",
|
|||
|
|
"Rejected: \t0\n",
|
|||
|
|
"Iteration: \t5 / 100\n",
|
|||
|
|
"Confirmed: \t0\n",
|
|||
|
|
"Tentative: \t15\n",
|
|||
|
|
"Rejected: \t0\n",
|
|||
|
|
"Iteration: \t6 / 100\n",
|
|||
|
|
"Confirmed: \t0\n",
|
|||
|
|
"Tentative: \t15\n",
|
|||
|
|
"Rejected: \t0\n",
|
|||
|
|
"Iteration: \t7 / 100\n",
|
|||
|
|
"Confirmed: \t0\n",
|
|||
|
|
"Tentative: \t15\n",
|
|||
|
|
"Rejected: \t0\n",
|
|||
|
|
"Iteration: \t8 / 100\n",
|
|||
|
|
"Confirmed: \t0\n",
|
|||
|
|
"Tentative: \t2\n",
|
|||
|
|
"Rejected: \t13\n",
|
|||
|
|
"Iteration: \t9 / 100\n",
|
|||
|
|
"Confirmed: \t0\n",
|
|||
|
|
"Tentative: \t2\n",
|
|||
|
|
"Rejected: \t13\n",
|
|||
|
|
"Iteration: \t10 / 100\n",
|
|||
|
|
"Confirmed: \t0\n",
|
|||
|
|
"Tentative: \t2\n",
|
|||
|
|
"Rejected: \t13\n",
|
|||
|
|
"Iteration: \t11 / 100\n",
|
|||
|
|
"Confirmed: \t0\n",
|
|||
|
|
"Tentative: \t2\n",
|
|||
|
|
"Rejected: \t13\n",
|
|||
|
|
"Iteration: \t12 / 100\n",
|
|||
|
|
"Confirmed: \t0\n",
|
|||
|
|
"Tentative: \t2\n",
|
|||
|
|
"Rejected: \t13\n",
|
|||
|
|
"Iteration: \t13 / 100\n",
|
|||
|
|
"Confirmed: \t0\n",
|
|||
|
|
"Tentative: \t2\n",
|
|||
|
|
"Rejected: \t13\n",
|
|||
|
|
"Iteration: \t14 / 100\n",
|
|||
|
|
"Confirmed: \t0\n",
|
|||
|
|
"Tentative: \t2\n",
|
|||
|
|
"Rejected: \t13\n",
|
|||
|
|
"Iteration: \t15 / 100\n",
|
|||
|
|
"Confirmed: \t0\n",
|
|||
|
|
"Tentative: \t2\n",
|
|||
|
|
"Rejected: \t13\n",
|
|||
|
|
"Iteration: \t16 / 100\n",
|
|||
|
|
"Confirmed: \t1\n",
|
|||
|
|
"Tentative: \t1\n",
|
|||
|
|
"Rejected: \t13\n",
|
|||
|
|
"Iteration: \t17 / 100\n",
|
|||
|
|
"Confirmed: \t1\n",
|
|||
|
|
"Tentative: \t1\n",
|
|||
|
|
"Rejected: \t13\n",
|
|||
|
|
"Iteration: \t18 / 100\n",
|
|||
|
|
"Confirmed: \t1\n",
|
|||
|
|
"Tentative: \t1\n",
|
|||
|
|
"Rejected: \t13\n",
|
|||
|
|
"Iteration: \t19 / 100\n",
|
|||
|
|
"Confirmed: \t1\n",
|
|||
|
|
"Tentative: \t1\n",
|
|||
|
|
"Rejected: \t13\n",
|
|||
|
|
"Iteration: \t20 / 100\n",
|
|||
|
|
"Confirmed: \t1\n",
|
|||
|
|
"Tentative: \t1\n",
|
|||
|
|
"Rejected: \t13\n",
|
|||
|
|
"Iteration: \t21 / 100\n",
|
|||
|
|
"Confirmed: \t1\n",
|
|||
|
|
"Tentative: \t1\n",
|
|||
|
|
"Rejected: \t13\n",
|
|||
|
|
"Iteration: \t22 / 100\n",
|
|||
|
|
"Confirmed: \t1\n",
|
|||
|
|
"Tentative: \t1\n",
|
|||
|
|
"Rejected: \t13\n",
|
|||
|
|
"Iteration: \t23 / 100\n",
|
|||
|
|
"Confirmed: \t1\n",
|
|||
|
|
"Tentative: \t1\n",
|
|||
|
|
"Rejected: \t13\n",
|
|||
|
|
"Iteration: \t24 / 100\n",
|
|||
|
|
"Confirmed: \t1\n",
|
|||
|
|
"Tentative: \t1\n",
|
|||
|
|
"Rejected: \t13\n",
|
|||
|
|
"Iteration: \t25 / 100\n",
|
|||
|
|
"Confirmed: \t1\n",
|
|||
|
|
"Tentative: \t1\n",
|
|||
|
|
"Rejected: \t13\n",
|
|||
|
|
"Iteration: \t26 / 100\n",
|
|||
|
|
"Confirmed: \t1\n",
|
|||
|
|
"Tentative: \t1\n",
|
|||
|
|
"Rejected: \t13\n",
|
|||
|
|
"Iteration: \t27 / 100\n",
|
|||
|
|
"Confirmed: \t1\n",
|
|||
|
|
"Tentative: \t1\n",
|
|||
|
|
"Rejected: \t13\n",
|
|||
|
|
"Iteration: \t28 / 100\n",
|
|||
|
|
"Confirmed: \t1\n",
|
|||
|
|
"Tentative: \t1\n",
|
|||
|
|
"Rejected: \t13\n",
|
|||
|
|
"Iteration: \t29 / 100\n",
|
|||
|
|
"Confirmed: \t2\n",
|
|||
|
|
"Tentative: \t0\n",
|
|||
|
|
"Rejected: \t13\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
"BorutaPy finished running.\n",
|
|||
|
|
"\n",
|
|||
|
|
"Iteration: \t30 / 100\n",
|
|||
|
|
"Confirmed: \t2\n",
|
|||
|
|
"Tentative: \t0\n",
|
|||
|
|
"Rejected: \t13\n",
|
|||
|
|
"\n",
|
|||
|
|
"📊 Boruta Feature Selection Results:\n",
|
|||
|
|
" feature rank status\n",
|
|||
|
|
"12 length_of_stay_days 1 Selected ✅\n",
|
|||
|
|
"13 lead_time_to_checkin_days 1 Selected ✅\n",
|
|||
|
|
"5 checkin_year_cycle_cos 2 Rejected ❌\n",
|
|||
|
|
"14 gj_start_to_checkin_days 2 Rejected ❌\n",
|
|||
|
|
"4 checkin_year_cycle_sin 3 Rejected ❌\n",
|
|||
|
|
"11 checkout_year_cycle_cos 4 Rejected ❌\n",
|
|||
|
|
"3 checkin_month_cycle_cos 6 Rejected ❌\n",
|
|||
|
|
"10 checkout_year_cycle_sin 6 Rejected ❌\n",
|
|||
|
|
"8 checkout_month_cycle_sin 7 Rejected ❌\n",
|
|||
|
|
"2 checkin_month_cycle_sin 8 Rejected ❌\n",
|
|||
|
|
"9 checkout_month_cycle_cos 9 Rejected ❌\n",
|
|||
|
|
"1 checkin_week_cycle_cos 10 Rejected ❌\n",
|
|||
|
|
"6 checkout_week_cycle_sin 11 Rejected ❌\n",
|
|||
|
|
"0 checkin_week_cycle_sin 12 Rejected ❌\n",
|
|||
|
|
"7 checkout_week_cycle_cos 13 Rejected ❌\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1000x600 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"# Boruta for time related features\n",
|
|||
|
|
"import pandas as pd\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"from sklearn.ensemble import RandomForestClassifier\n",
|
|||
|
|
"from boruta import BorutaPy\n",
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Prepare your feature matrix and target\n",
|
|||
|
|
"# Only keep valid rows (no NaNs in features or target)\n",
|
|||
|
|
"features = [\n",
|
|||
|
|
" # check-in cyclical\n",
|
|||
|
|
" 'checkin_week_cycle_sin', 'checkin_week_cycle_cos',\n",
|
|||
|
|
" 'checkin_month_cycle_sin', 'checkin_month_cycle_cos',\n",
|
|||
|
|
" 'checkin_year_cycle_sin', 'checkin_year_cycle_cos',\n",
|
|||
|
|
" \n",
|
|||
|
|
" # check-out cyclical\n",
|
|||
|
|
" 'checkout_week_cycle_sin', 'checkout_week_cycle_cos',\n",
|
|||
|
|
" 'checkout_month_cycle_sin', 'checkout_month_cycle_cos',\n",
|
|||
|
|
" 'checkout_year_cycle_sin', 'checkout_year_cycle_cos',\n",
|
|||
|
|
" \n",
|
|||
|
|
" # scalar features\n",
|
|||
|
|
" 'length_of_stay_days',\n",
|
|||
|
|
" 'lead_time_to_checkin_days',\n",
|
|||
|
|
" 'gj_start_to_checkin_days'\n",
|
|||
|
|
"]\n",
|
|||
|
|
"df_model = df_bookings_and_claims[features + ['has_resolution_incident']].dropna()\n",
|
|||
|
|
"\n",
|
|||
|
|
"X = df_model[features].values\n",
|
|||
|
|
"y = df_model['has_resolution_incident'].values.astype(int)\n",
|
|||
|
|
"# Random Forest\n",
|
|||
|
|
"rf = RandomForestClassifier(\n",
|
|||
|
|
" n_estimators=100,\n",
|
|||
|
|
" max_depth=5,\n",
|
|||
|
|
" random_state=42,\n",
|
|||
|
|
" n_jobs=-1,\n",
|
|||
|
|
" class_weight='balanced'\n",
|
|||
|
|
")\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Boruta setup\n",
|
|||
|
|
"boruta_selector = BorutaPy(\n",
|
|||
|
|
" estimator=rf,\n",
|
|||
|
|
" n_estimators='auto',\n",
|
|||
|
|
" verbose=2,\n",
|
|||
|
|
" random_state=42\n",
|
|||
|
|
")\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Fit selector\n",
|
|||
|
|
"boruta_selector.fit(X, y)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Prepare results\n",
|
|||
|
|
"feature_rankings = pd.DataFrame({\n",
|
|||
|
|
" 'feature': features,\n",
|
|||
|
|
" 'rank': boruta_selector.ranking_,\n",
|
|||
|
|
" 'selected': boruta_selector.support_,\n",
|
|||
|
|
" 'tentative': boruta_selector.support_weak_,\n",
|
|||
|
|
"})\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Status column\n",
|
|||
|
|
"def determine_status(row):\n",
|
|||
|
|
" if row['selected']:\n",
|
|||
|
|
" return 'Selected ✅'\n",
|
|||
|
|
" elif row['tentative']:\n",
|
|||
|
|
" return 'Tentative 🤔'\n",
|
|||
|
|
" else:\n",
|
|||
|
|
" return 'Rejected ❌'\n",
|
|||
|
|
"\n",
|
|||
|
|
"feature_rankings['status'] = feature_rankings.apply(determine_status, axis=1)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Sort by rank\n",
|
|||
|
|
"feature_rankings = feature_rankings.sort_values(by='rank')\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Show results\n",
|
|||
|
|
"print(\"\\n📊 Boruta Feature Selection Results:\")\n",
|
|||
|
|
"print(feature_rankings[['feature', 'rank', 'status']])\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Optional plot\n",
|
|||
|
|
"plt.figure(figsize=(10, 6))\n",
|
|||
|
|
"colors = feature_rankings['status'].map({\n",
|
|||
|
|
" 'Selected ✅': 'green',\n",
|
|||
|
|
" 'Tentative 🤔': 'orange',\n",
|
|||
|
|
" 'Rejected ❌': 'red'\n",
|
|||
|
|
"})\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.barh(\n",
|
|||
|
|
" feature_rankings['feature'],\n",
|
|||
|
|
" -feature_rankings['rank'], # Negative to flip axis: rank 1 = top\n",
|
|||
|
|
" color=colors\n",
|
|||
|
|
")\n",
|
|||
|
|
"plt.xlabel(\"Feature Rank (lower = better)\")\n",
|
|||
|
|
"plt.title(\"Boruta Feature Ranking\")\n",
|
|||
|
|
"plt.gca().invert_yaxis()\n",
|
|||
|
|
"plt.tight_layout()\n",
|
|||
|
|
"plt.show()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 20,
|
|||
|
|
"id": "11deba4b",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAABWgAAAPWCAYAAAB9Y3F7AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/GU6VOAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd1gUZ9cG8BsWRFBpChaUqJgFBERAQawRNdiigj2KGGNLLLHFFmOMXey9F7BFjWCLJZpYYsOCig2NnWABpUsRduf7w2/nZd2lLG1R7t91eSU788zMmZ3Z2eHsM+fREQRBABEREREREREREREVO11tB0BERERERERERERUWjFBS0RERERERERERKQlTNASERERERERERERaQkTtERERERERERERERawgQtERERERERERERkZYwQUtERERERERERESkJUzQEhEREREREREREWkJE7REREREREREREREWsIELREREREREREREZGWMEFLRIXGy8sLtra24j87Ozu4uLigefPm8PPzw7x58xAeHp7jOvz8/GBra4vQ0NBiijpnin3677//lKaXtDgBYOLEibC1tUVwcLC2Q/kk/ffff7C1tYWXl5dGy334uVD8c3FxQadOnbBw4ULExcUVUdRFKzg4GLa2tpg4caK2QylWiYmJ+PXXX9GyZUs4OjrC1tYWfn5+uS6neL9yOof27NkDe3t72NnZYfPmzYUZdoF9eA7b2dnBzc0NLVu2xLfffovFixfjwYMH2g6z0OX3s1/c1F1nPvx34sQJbYdJJYjimvTh59rV1RVdunTBwoULERsbq+0wNaKtz6vi/SvJFPcj2rxPzO/7VBLvu4mICpuetgMgok+Pq6srPvvsMwBAWloa4uLicPfuXVy6dAmbNm2Cu7s7Zs+ejRo1ahRZDF5eXoiKisJff/2F6tWrF9l2iktwcDAmTZoEHx8fzJ07V9vhUD5k/VzI5XJER0fj2rVrWLduHfbt24cdO3YU6WfiY7B8+XKsWLECw4cPx4gRI7QdTrZ+/vlnHD16FFZWVmjTpg0MDAxQu3btAq93/fr1WLBgASQSCWbNmgVfX99CiLbwNW3aFBYWFgCAlJQUxMbGIiwsDGfPnsWaNWvw5ZdfYtq0aahYsaKWI82bT+37Iuvx+VDVqlWLORogNDQU/fr1g7u7O7Zu3Vrs26fcGRkZwdvbGwAgk8nw/PlzXL9+HXfv3kVwcDC2b9+OmjVrajdILfLz88OlS5cQFBQEDw8PbYdDWvSpfV8QUcnCBC0RFbru3burJBYEQcCZM2cwe/ZsXLp0Cb169cJvv/2mkpCaN28eUlNTUa1ateIMOVtbtmxBRkYGKleurO1QcjVmzBgMGjQIlpaW2g6F1FD3uYiJiUHfvn3x5MkTzJ8/H8uWLdNSdJRXGRkZOHHiBAwMDHDgwAGUL1++UNa7YMECrF+/HmXKlMHixYvRunXrQllvURg8eLBKkiIzMxNHjhzB3Llz8eeff+LBgwf47bffYGJioqUoC0/lypVx+PBh6OvrazuUPFF3fIhyYmZmpvLj77///ou+ffvi9evXmD17NtatW6el6D4Ohw8f1nYIHwW+T0RE2WOJAyIqFjo6OmjRogX27NmDmjVr4vXr15gyZYpKu2rVqsHGxgaGhoZaiFKVtbU1bGxsPoo/zC0tLWFjY4MKFSpoOxTKIwsLCwwcOBAAcOHCBS1HQ3kRExODzMxMVKpUqVCSs3K5HD///DPWr1+PcuXKYcOGDSU6OZsdPT09fPXVV9izZw/MzMzw6NEjzJs3T9thFQp9fX3Y2NjA2tpa26EQFZvPP/8c33zzDQDg/PnzePfunZYjKtlsbGxgY2Oj7TBKPL5PRETZY4KWiIqVsbExJk+eDAC4ePEibt26pTQ/uxpT7969w4YNG+Dr6wsXFxc4OjqiSZMm6Nq1KwICAhAfHw/gf/XUoqKiAACtWrVSqq2mWG9oaKhYNzI1NRVLly5Fu3bt4OzsrFS3LLsatFldunQJAwYMgLu7O5ydndGtWzfs27dPbdvcamgtX74ctra2WL58uVIMkyZNAgCEhIQo7U/Wupe51aD9448/4O/vD3d3dzg6OqJly5aYNGkSHj9+rLZ91n2/ePEiBgwYgIYNG6JevXrw8fHJdh+TkpKwePFifPXVV6hfvz4cHR3RtGlT9OrVC0uXLkVGRoba5dQJDw9HQEAAunXrhiZNmsDR0RGNGzfG0KFDcf78ebXLZK2LmpKSgoULF6JNmzbiOTNhwgS8evUq222ePHkSffv2hYuLC9zc3PD1118Xad3GSpUqAXjfA1Gd1NRUrFu3Dj4+PnBxcYGzszM6dOiAxYsXIyEhQant0aNHYWtri0aNGuHly5cq6/rnn39gb28PNzc3PHnyRJye9dyJiIjA8OHD0ahRI9SrVw9fffUVAgMDIZPJNN638PBw/PDDD2jatCkcHR3h6emJoUOH4ty5cyptbW1tsWLFCgDAihUrlM7zrDVuo6OjMXPmTHh7e8PJyQnOzs5o0aIF/P39sXHjRo1jfPjwISZNmiTWk3V3d4e/v7/aXj62trZo2bIlACAqKkrttUUT7969w5gxY7B7926Ym5vn+PhsWloaNm3ahB49eqBBgwZwcnKCt7c3AgICVGoYL1u2DLa2tpg6dWq22w4PD4etrS2aNWuW7bmXH9WqVRPLU+zfvx+vX78W5+WlNmR219ys00+cOCE+Mp/1vY+NjUVQUBAGDRoELy8v1KtXD66urvD19cW6deuQnp6utM68fl/kFvfLly8xY8YMfPnll3BycoKbm5v4lIi6z01Br1GF6cKFCxg+fLjSZ3TYsGG4du2a2vaaXpP9/PzQr18/AO+/K7O+v1nfz/x8N344/fnz55g8eTJatGgBBwcHldrYR48exbfffotGjRrB0dERzZo1w7hx47Ktm3zr1i2MGjUKzZs3h6OjI1xdXdGqVSuMGDEiz98JCxcuzPWzeP/+fdja2qJx48ZK34/nz5/H0KFD0bhxYzg4OKBhw4b48ssvMW7cOFy+fDlP2y8oRa3QjIwM8T4rq4SEBCxbtgydO3cWv5+++uorrFq1CqmpqSrt5XI5du3ahV69eqFBgwZwcHCAp6cnOnXqhBkzZqi914qPj8eiRYvQoUMHODs7w8XFBb6+vli/fj3S0tLyvC/5uf4o7hUvXboEAOjXr5/SOZz1fiun2qqa7kPWe9SMjAysW7cOHTp0QL169eDh4YHhw4fj4cOHed733GT9HMXGxuLXX39FixYt4OjoiBYtWmDGjBlITEzMdvnHjx9j2rRp8Pb2hrOzM1xdXdG+fXtMmzYN9+/fV2qb0/v04sULTJo0CU2bNoWTkxO+/PJLLF68OE/HWZPPd9ZzQRAE7Nq1C76+vqhfvz7c3NwwYMAAlWtgXr8viIgKgiUOiKjYNW/eHKampoiPj8f58+fh6OiYY3u5XI7BgwfjwoULKF++PBo0aABjY2PExsbi6dOn2LhxI7766iuYmprC2toaPj4+OHbsGFJSUuDt7Q0jIyNxXYpkmEJ6ejr8/Pzw8OFDNGjQAHZ2dmr/CMnO8ePHsX37dtSuXRtNmzZFdHQ0rl69igkTJiAiIqJQBk/y9vbG9evXERYWBmtra7i5uYnz8lL3UhAETJw4Efv27YOenh4aNGiAihUr4vbt2wgODsaRI0ewbNkyNG/eXO3ye/fuxerVq1G3bl00a9YMUVFRuH79OiZMmID4+Hj0799fbJuamoqvv/4a9+/fh7m5ORo1agQjIyPExMTg8ePHWLVqFb755ps890hetGgRQkNDUadOHTg4OMDQ0BCRkZE4efIkTp48icmTJ8Pf31/tsklJSejVqxdevHgBNzc3fP7557h+/Tr27duHy5cvY//+/Sq9jbds2YI5c+YAAOrVqwdra2s8efIEw4YNE3sSFTbFwHmff/65yjzF+3v37l2UL18ejRo1gr6+Pi5duoQ1a9bg0KFDCAwMFOugtW3bFn5+fti6dSvGjBmDoKAg6Om9/6p/9eoVxo8fD7lcjhkzZqitJxgeHo5p06ahUqVK8PT0RGJ
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1400x1000 with 4 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import seaborn as sns\n",
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Ensure clean data\n",
|
|||
|
|
"df_viz = df_bookings_and_claims[[\n",
|
|||
|
|
" 'length_of_stay_days',\n",
|
|||
|
|
" 'lead_time_to_checkin_days',\n",
|
|||
|
|
" 'has_resolution_incident'\n",
|
|||
|
|
"]].dropna()\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Setup\n",
|
|||
|
|
"sns.set(style=\"whitegrid\", palette=\"muted\")\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Create subplots\n",
|
|||
|
|
"fig, axes = plt.subplots(2, 2, figsize=(14, 10))\n",
|
|||
|
|
"fig.suptitle(\"Distributions and Boxplots of Key Duration Features vs. Resolution Incident\", fontsize=16)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Length of Stay - KDE/Histogram\n",
|
|||
|
|
"sns.histplot(\n",
|
|||
|
|
" data=df_viz,\n",
|
|||
|
|
" x='length_of_stay_days',\n",
|
|||
|
|
" hue='has_resolution_incident',\n",
|
|||
|
|
" element='step',\n",
|
|||
|
|
" common_norm=False,\n",
|
|||
|
|
" ax=axes[0, 0],\n",
|
|||
|
|
" stat='probability'\n",
|
|||
|
|
")\n",
|
|||
|
|
"axes[0, 0].set_title(\"Length of Stay Distribution\")\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Length of Stay - Boxplot\n",
|
|||
|
|
"sns.boxplot(\n",
|
|||
|
|
" data=df_viz,\n",
|
|||
|
|
" x='has_resolution_incident',\n",
|
|||
|
|
" y='length_of_stay_days',\n",
|
|||
|
|
" ax=axes[0, 1]\n",
|
|||
|
|
")\n",
|
|||
|
|
"axes[0, 1].set_title(\"Length of Stay by Incident\")\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Lead Time - KDE/Histogram\n",
|
|||
|
|
"sns.histplot(\n",
|
|||
|
|
" data=df_viz,\n",
|
|||
|
|
" x='lead_time_to_checkin_days',\n",
|
|||
|
|
" hue='has_resolution_incident',\n",
|
|||
|
|
" element='step',\n",
|
|||
|
|
" common_norm=False,\n",
|
|||
|
|
" ax=axes[1, 0],\n",
|
|||
|
|
" stat='probability'\n",
|
|||
|
|
")\n",
|
|||
|
|
"axes[1, 0].set_title(\"Lead Time Distribution\")\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Lead Time - Boxplot\n",
|
|||
|
|
"sns.boxplot(\n",
|
|||
|
|
" data=df_viz,\n",
|
|||
|
|
" x='has_resolution_incident',\n",
|
|||
|
|
" y='lead_time_to_checkin_days',\n",
|
|||
|
|
" ax=axes[1, 1]\n",
|
|||
|
|
")\n",
|
|||
|
|
"axes[1, 1].set_title(\"Lead Time by Incident\")\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Adjust\n",
|
|||
|
|
"for ax in axes.flat:\n",
|
|||
|
|
" ax.set_xlabel(\"\")\n",
|
|||
|
|
" ax.set_ylabel(\"\")\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.tight_layout(rect=[0, 0, 1, 0.96])\n",
|
|||
|
|
"plt.show()\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "7774f0eb",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"It seems that:\n",
|
|||
|
|
"- Longer stays (specially beyond two weeks) have higher chances of claiming.\n",
|
|||
|
|
"- Longer lead times have less chances of claiming (although it looks like we simply need to have more samples)."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "2a6fb142",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"## Listing NPL features"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 40,
|
|||
|
|
"id": "b8d9a007",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"Iteration: \t1 / 100\n",
|
|||
|
|
"Confirmed: \t0\n",
|
|||
|
|
"Tentative: \t30\n",
|
|||
|
|
"Rejected: \t0\n",
|
|||
|
|
"Iteration: \t2 / 100\n",
|
|||
|
|
"Confirmed: \t0\n",
|
|||
|
|
"Tentative: \t30\n",
|
|||
|
|
"Rejected: \t0\n",
|
|||
|
|
"Iteration: \t3 / 100\n",
|
|||
|
|
"Confirmed: \t0\n",
|
|||
|
|
"Tentative: \t30\n",
|
|||
|
|
"Rejected: \t0\n",
|
|||
|
|
"Iteration: \t4 / 100\n",
|
|||
|
|
"Confirmed: \t0\n",
|
|||
|
|
"Tentative: \t30\n",
|
|||
|
|
"Rejected: \t0\n",
|
|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|||
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|
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|||
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|
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|||
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|||
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|
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|||
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|
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|||
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|||
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|
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|||
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|
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|||
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|||
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|
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|
|||
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|
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|||
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|
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|||
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|
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|||
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|
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|
|||
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|
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|
|||
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|
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|||
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|
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|||
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|
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|
|||
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|
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|
|||
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|
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|||
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|
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|||
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|
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|
|||
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|
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|||
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|
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|||
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|
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|||
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|
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|
|||
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|
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|
|||
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|
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|||
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|
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|||
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|
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|
|||
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|
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|
|||
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|
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|
|||
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|
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|||
|
|
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|
|||
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|
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|
|||
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|
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|
|||
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|
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|||
|
|
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|
|||
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|
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|
|||
|
|
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|
|||
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|
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|||
|
|
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|
|||
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|
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|
|||
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|
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|
|||
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|
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|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
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|
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|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
"Confirmed: \t12\n",
|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
"Confirmed: \t12\n",
|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
"Confirmed: \t12\n",
|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
"Confirmed: \t12\n",
|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
"Confirmed: \t12\n",
|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
"Confirmed: \t12\n",
|
|||
|
|
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|
|||
|
|
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|
|||
|
|
"Iteration: \t80 / 100\n",
|
|||
|
|
"Confirmed: \t12\n",
|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
"Confirmed: \t12\n",
|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
"Confirmed: \t12\n",
|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
"Confirmed: \t12\n",
|
|||
|
|
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|
|||
|
|
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|
|||
|
|
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|
|||
|
|
"Confirmed: \t12\n",
|
|||
|
|
"Tentative: \t10\n",
|
|||
|
|
"Rejected: \t8\n",
|
|||
|
|
"Iteration: \t85 / 100\n",
|
|||
|
|
"Confirmed: \t12\n",
|
|||
|
|
"Tentative: \t10\n",
|
|||
|
|
"Rejected: \t8\n",
|
|||
|
|
"Iteration: \t86 / 100\n",
|
|||
|
|
"Confirmed: \t12\n",
|
|||
|
|
"Tentative: \t10\n",
|
|||
|
|
"Rejected: \t8\n",
|
|||
|
|
"Iteration: \t87 / 100\n",
|
|||
|
|
"Confirmed: \t12\n",
|
|||
|
|
"Tentative: \t10\n",
|
|||
|
|
"Rejected: \t8\n",
|
|||
|
|
"Iteration: \t88 / 100\n",
|
|||
|
|
"Confirmed: \t14\n",
|
|||
|
|
"Tentative: \t8\n",
|
|||
|
|
"Rejected: \t8\n",
|
|||
|
|
"Iteration: \t89 / 100\n",
|
|||
|
|
"Confirmed: \t14\n",
|
|||
|
|
"Tentative: \t8\n",
|
|||
|
|
"Rejected: \t8\n",
|
|||
|
|
"Iteration: \t90 / 100\n",
|
|||
|
|
"Confirmed: \t14\n",
|
|||
|
|
"Tentative: \t8\n",
|
|||
|
|
"Rejected: \t8\n",
|
|||
|
|
"Iteration: \t91 / 100\n",
|
|||
|
|
"Confirmed: \t14\n",
|
|||
|
|
"Tentative: \t8\n",
|
|||
|
|
"Rejected: \t8\n",
|
|||
|
|
"Iteration: \t92 / 100\n",
|
|||
|
|
"Confirmed: \t14\n",
|
|||
|
|
"Tentative: \t8\n",
|
|||
|
|
"Rejected: \t8\n",
|
|||
|
|
"Iteration: \t93 / 100\n",
|
|||
|
|
"Confirmed: \t14\n",
|
|||
|
|
"Tentative: \t8\n",
|
|||
|
|
"Rejected: \t8\n",
|
|||
|
|
"Iteration: \t94 / 100\n",
|
|||
|
|
"Confirmed: \t14\n",
|
|||
|
|
"Tentative: \t8\n",
|
|||
|
|
"Rejected: \t8\n",
|
|||
|
|
"Iteration: \t95 / 100\n",
|
|||
|
|
"Confirmed: \t14\n",
|
|||
|
|
"Tentative: \t8\n",
|
|||
|
|
"Rejected: \t8\n",
|
|||
|
|
"Iteration: \t96 / 100\n",
|
|||
|
|
"Confirmed: \t14\n",
|
|||
|
|
"Tentative: \t8\n",
|
|||
|
|
"Rejected: \t8\n",
|
|||
|
|
"Iteration: \t97 / 100\n",
|
|||
|
|
"Confirmed: \t14\n",
|
|||
|
|
"Tentative: \t8\n",
|
|||
|
|
"Rejected: \t8\n",
|
|||
|
|
"Iteration: \t98 / 100\n",
|
|||
|
|
"Confirmed: \t14\n",
|
|||
|
|
"Tentative: \t8\n",
|
|||
|
|
"Rejected: \t8\n",
|
|||
|
|
"Iteration: \t99 / 100\n",
|
|||
|
|
"Confirmed: \t14\n",
|
|||
|
|
"Tentative: \t8\n",
|
|||
|
|
"Rejected: \t8\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
"BorutaPy finished running.\n",
|
|||
|
|
"\n",
|
|||
|
|
"Iteration: \t100 / 100\n",
|
|||
|
|
"Confirmed: \t14\n",
|
|||
|
|
"Tentative: \t7\n",
|
|||
|
|
"Rejected: \t9\n",
|
|||
|
|
"\n",
|
|||
|
|
"📊 Boruta Feature Selection Results:\n",
|
|||
|
|
" feature rank status\n",
|
|||
|
|
"1 tfidf_svd_1 1 Selected ✅\n",
|
|||
|
|
"7 tfidf_svd_7 1 Selected ✅\n",
|
|||
|
|
"5 tfidf_svd_5 1 Selected ✅\n",
|
|||
|
|
"4 tfidf_svd_4 1 Selected ✅\n",
|
|||
|
|
"11 tfidf_svd_11 1 Selected ✅\n",
|
|||
|
|
"10 tfidf_svd_10 1 Selected ✅\n",
|
|||
|
|
"9 tfidf_svd_9 1 Selected ✅\n",
|
|||
|
|
"8 tfidf_svd_8 1 Selected ✅\n",
|
|||
|
|
"12 tfidf_svd_12 1 Selected ✅\n",
|
|||
|
|
"19 tfidf_svd_19 1 Selected ✅\n",
|
|||
|
|
"18 tfidf_svd_18 1 Selected ✅\n",
|
|||
|
|
"29 tfidf_svd_29 1 Selected ✅\n",
|
|||
|
|
"24 tfidf_svd_24 1 Selected ✅\n",
|
|||
|
|
"17 tfidf_svd_17 1 Selected ✅\n",
|
|||
|
|
"6 tfidf_svd_6 2 Tentative 🤔\n",
|
|||
|
|
"13 tfidf_svd_13 2 Tentative 🤔\n",
|
|||
|
|
"3 tfidf_svd_3 2 Tentative 🤔\n",
|
|||
|
|
"26 tfidf_svd_26 2 Tentative 🤔\n",
|
|||
|
|
"25 tfidf_svd_25 2 Tentative 🤔\n",
|
|||
|
|
"14 tfidf_svd_14 2 Tentative 🤔\n",
|
|||
|
|
"23 tfidf_svd_23 2 Tentative 🤔\n",
|
|||
|
|
"15 tfidf_svd_15 3 Rejected ❌\n",
|
|||
|
|
"16 tfidf_svd_16 4 Rejected ❌\n",
|
|||
|
|
"2 tfidf_svd_2 4 Rejected ❌\n",
|
|||
|
|
"0 tfidf_svd_0 6 Rejected ❌\n",
|
|||
|
|
"21 tfidf_svd_21 7 Rejected ❌\n",
|
|||
|
|
"27 tfidf_svd_27 8 Rejected ❌\n",
|
|||
|
|
"28 tfidf_svd_28 9 Rejected ❌\n",
|
|||
|
|
"22 tfidf_svd_22 10 Rejected ❌\n",
|
|||
|
|
"20 tfidf_svd_20 11 Rejected ❌\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1000x800 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"df = df_bookings_and_claims.merge(\n",
|
|||
|
|
" df_listing_details[['id_accommodation'] + [f'tfidf_svd_{i}' for i in range(30)]],\n",
|
|||
|
|
" on='id_accommodation',\n",
|
|||
|
|
" how='left'\n",
|
|||
|
|
")\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
"svd_features = [f'tfidf_svd_{i}' for i in range(30)]\n",
|
|||
|
|
"all_features = svd_features\n",
|
|||
|
|
"\n",
|
|||
|
|
"df_model = df[all_features + ['has_resolution_incident']].dropna()\n",
|
|||
|
|
"\n",
|
|||
|
|
"X = df_model[all_features].values\n",
|
|||
|
|
"y = df_model['has_resolution_incident'].values.astype(int)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# --- Step 4: Boruta setup and fit ---\n",
|
|||
|
|
"rf = RandomForestClassifier(\n",
|
|||
|
|
" n_estimators=100,\n",
|
|||
|
|
" max_depth=5,\n",
|
|||
|
|
" random_state=42,\n",
|
|||
|
|
" n_jobs=-1,\n",
|
|||
|
|
" class_weight='balanced'\n",
|
|||
|
|
")\n",
|
|||
|
|
"\n",
|
|||
|
|
"boruta_selector = BorutaPy(\n",
|
|||
|
|
" estimator=rf,\n",
|
|||
|
|
" n_estimators='auto',\n",
|
|||
|
|
" verbose=2,\n",
|
|||
|
|
" random_state=42\n",
|
|||
|
|
")\n",
|
|||
|
|
"\n",
|
|||
|
|
"boruta_selector.fit(X, y)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# --- Step 5: Prepare and show results ---\n",
|
|||
|
|
"feature_rankings = pd.DataFrame({\n",
|
|||
|
|
" 'feature': all_features,\n",
|
|||
|
|
" 'rank': boruta_selector.ranking_,\n",
|
|||
|
|
" 'selected': boruta_selector.support_,\n",
|
|||
|
|
" 'tentative': boruta_selector.support_weak_,\n",
|
|||
|
|
"})\n",
|
|||
|
|
"\n",
|
|||
|
|
"def determine_status(row):\n",
|
|||
|
|
" if row['selected']:\n",
|
|||
|
|
" return 'Selected ✅'\n",
|
|||
|
|
" elif row['tentative']:\n",
|
|||
|
|
" return 'Tentative 🤔'\n",
|
|||
|
|
" else:\n",
|
|||
|
|
" return 'Rejected ❌'\n",
|
|||
|
|
"\n",
|
|||
|
|
"feature_rankings['status'] = feature_rankings.apply(determine_status, axis=1)\n",
|
|||
|
|
"feature_rankings = feature_rankings.sort_values(by='rank')\n",
|
|||
|
|
"\n",
|
|||
|
|
"print(\"\\n📊 Boruta Feature Selection Results:\")\n",
|
|||
|
|
"print(feature_rankings[['feature', 'rank', 'status']])\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Optional plot\n",
|
|||
|
|
"plt.figure(figsize=(10, 8))\n",
|
|||
|
|
"colors = feature_rankings['status'].map({\n",
|
|||
|
|
" 'Selected ✅': 'green',\n",
|
|||
|
|
" 'Tentative 🤔': 'orange',\n",
|
|||
|
|
" 'Rejected ❌': 'red'\n",
|
|||
|
|
"})\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.barh(\n",
|
|||
|
|
" feature_rankings['feature'],\n",
|
|||
|
|
" -feature_rankings['rank'], # Flip axis so rank 1 is top\n",
|
|||
|
|
" color=colors\n",
|
|||
|
|
")\n",
|
|||
|
|
"plt.xlabel(\"Feature Rank (lower = better)\")\n",
|
|||
|
|
"plt.title(\"Boruta Feature Ranking Including Text SVD Features\")\n",
|
|||
|
|
"plt.gca().invert_yaxis()\n",
|
|||
|
|
"plt.tight_layout()\n",
|
|||
|
|
"plt.show()"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"metadata": {
|
|||
|
|
"kernelspec": {
|
|||
|
|
"display_name": "venv",
|
|||
|
|
"language": "python",
|
|||
|
|
"name": "python3"
|
|||
|
|
},
|
|||
|
|
"language_info": {
|
|||
|
|
"codemirror_mode": {
|
|||
|
|
"name": "ipython",
|
|||
|
|
"version": 3
|
|||
|
|
},
|
|||
|
|
"file_extension": ".py",
|
|||
|
|
"mimetype": "text/x-python",
|
|||
|
|
"name": "python",
|
|||
|
|
"nbconvert_exporter": "python",
|
|||
|
|
"pygments_lexer": "ipython3",
|
|||
|
|
"version": "3.10.12"
|
|||
|
|
}
|
|||
|
|
},
|
|||
|
|
"nbformat": 4,
|
|||
|
|
"nbformat_minor": 5
|
|||
|
|
}
|