{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "provenance": [] }, "kernelspec": { "name": "python3", "display_name": "Python 3" }, "language_info": { "name": "python" } }, "cells": [ { "cell_type": "code", "execution_count": null, "metadata": { "id": "93YVMbfRxgWG" }, "outputs": [], "source": [ "import pandas as pd" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 608 }, "id": "856e2ad6", "outputId": "9535490d-5e7d-4830-deee-59ea2f434b54" }, "source": [ "project_df = pd.read_csv('/content/project.csv', sep=',', on_bad_lines='skip')\n", "display(project_df.head())" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " id projectType \\\n", "0 cmf53kkzy000fvcu8tx8jwjmr RESIDENTIAL \n", "1 cmf5r6hv00001vxptnfichhfl RESIDENTIAL \n", "2 cmfawdrno0007vc18l0fm0z2j RESIDENTIAL \n", "3 cmfaxq2oo0020vc1806nmle00 RESIDENTIAL \n", "4 cmfaycwy70036vc18ppmb8mwh RESIDENTIAL \n", "\n", " projectName projectCategory \\\n", "0 Ashwini STANDALONE \n", "1 Pristine02 STANDALONE \n", "2 Gurukripa COMPLEX \n", "3 Hari om STANDALONE \n", "4 Om makarand heights STANDALONE \n", "\n", " slug slugId \\\n", "0 luxury-ashwini-ashoknagar-chembur-mumbai-675058 \n", "1 pristine02-modelcolony-shivajinagar-pune-428955 \n", "2 gurukripa-ashoknagar-chembur-mumbai-086047 \n", "3 hari-om-ashoknagar-chembur-mumbai-650559 \n", "4 om-makarand-heights-ashoknagar-chembur-mumbai-716337 \n", "\n", " status projectAge \\\n", "0 UNDER_CONSTRUCTION \n", "1 READY_TO_MOVE 0.0 \n", "2 UNDER_CONSTRUCTION \n", "3 UNDER_CONSTRUCTION \n", "4 UNDER_CONSTRUCTION \n", "\n", " reraId \\\n", "0 \"[\"\"P99000056045\"\"]\" \n", "1 \"[\"\"P52100032109\"\"]\" \n", "2 \"[\"\"[\\\"\"P51800047648\\\"\"]\"\"]\" \n", "3 \"[\"\"P51800066536\"\"]\" \n", "4 \"[\"\"P51800052217\"\"]\" \n", "\n", " countryId stateId \\\n", "0 cmfw6qdtd0000vx6uelma0klf cmf3ze56e0002vcf8e0hjqnsw \n", "1 cmf3zcoe80000vcf8sd4qfpwd cmf3ze56e0002vcf8e0hjqnsw \n", "2 cmf3zcoe80000vcf8sd4qfpwd cmf3ze56e0002vcf8e0hjqnsw \n", "3 cmf3zcoe80000vcf8sd4qfpwd cmf3ze56e0002vcf8e0hjqnsw \n", "4 cmf3zcoe80000vcf8sd4qfpwd cmf3ze56e0002vcf8e0hjqnsw \n", "\n", " cityId localityId \\\n", "0 cmf6nu3ru000gvcxspxarll3v cmf6pksk30035vcxs7r2mo3iq \n", "1 cmf6nu3ru000gvcxspxarll3v cmf6pk0cn0033vcxshxbf5hdh \n", "2 cmf50r5a00000vcj0k1iuocuu cmf51ieam0001vcj0kljobiod \n", "3 cmf50r5a00000vcj0k1iuocuu cmf51ieam0001vcj0kljobiod \n", "4 cmf50r5a00000vcj0k1iuocuu cmf6oxndf0021vcxsvog0r7bk \n", "\n", " subLocalityId \\\n", "0 cmfdkuymm0001vc90iiyzkr8d \n", "1 cmfdn705v001pvc90uyle9m34 \n", "2 cmf51ix980003vcj0z7abv17k \n", "3 cmfcec5ph007ivca007lzj3b3 \n", "4 cmfcewd9m007svca0b4pla35a \n", "\n", " projectSummary \\\n", "0 \n", "1 \n", "2 \n", "3 \n", "4 \n", "\n", " possessionDate \n", "0 2025-09-28 00:00:00 \n", "1 \n", "2 \n", "3 \n", "4 2025-09-21 00:00:00 " ], "text/html": [ "\n", "
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0cmf53kkzy000fvcu8tx8jwjmrRESIDENTIALAshwiniSTANDALONEluxury-ashwini-ashoknagar-chembur-mumbai-675058UNDER_CONSTRUCTION\"[\"\"P99000056045\"\"]\"cmfw6qdtd0000vx6uelma0klfcmf3ze56e0002vcf8e0hjqnswcmf6nu3ru000gvcxspxarll3vcmf6pksk30035vcxs7r2mo3iqcmfdkuymm0001vc90iiyzkr8d2025-09-28 00:00:00
1cmf5r6hv00001vxptnfichhflRESIDENTIALPristine02STANDALONEpristine02-modelcolony-shivajinagar-pune-428955READY_TO_MOVE0.0\"[\"\"P52100032109\"\"]\"cmf3zcoe80000vcf8sd4qfpwdcmf3ze56e0002vcf8e0hjqnswcmf6nu3ru000gvcxspxarll3vcmf6pk0cn0033vcxshxbf5hdhcmfdn705v001pvc90uyle9m34
2cmfawdrno0007vc18l0fm0z2jRESIDENTIALGurukripaCOMPLEXgurukripa-ashoknagar-chembur-mumbai-086047UNDER_CONSTRUCTION\"[\"\"[\\\"\"P51800047648\\\"\"]\"\"]\"cmf3zcoe80000vcf8sd4qfpwdcmf3ze56e0002vcf8e0hjqnswcmf50r5a00000vcj0k1iuocuucmf51ieam0001vcj0kljobiodcmf51ix980003vcj0z7abv17k
3cmfaxq2oo0020vc1806nmle00RESIDENTIALHari omSTANDALONEhari-om-ashoknagar-chembur-mumbai-650559UNDER_CONSTRUCTION\"[\"\"P51800066536\"\"]\"cmf3zcoe80000vcf8sd4qfpwdcmf3ze56e0002vcf8e0hjqnswcmf50r5a00000vcj0k1iuocuucmf51ieam0001vcj0kljobiodcmfcec5ph007ivca007lzj3b3
4cmfaycwy70036vc18ppmb8mwhRESIDENTIALOm makarand heightsSTANDALONEom-makarand-heights-ashoknagar-chembur-mumbai-716337UNDER_CONSTRUCTION\"[\"\"P51800052217\"\"]\"cmf3zcoe80000vcf8sd4qfpwdcmf3ze56e0002vcf8e0hjqnswcmf50r5a00000vcj0k1iuocuucmf6oxndf0021vcxsvog0r7bkcmfcewd9m007svca0b4pla35a2025-09-21 00:00:00
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[\n \" COMPLEX \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" slug \",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \" pristine02-modelcolony-shivajinagar-pune-428955 \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" slugId\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \" \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" status \",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n \" READY_TO_MOVE \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" projectAge\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n \" 0.0\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" reraId \",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \" \\\"[\\\"\\\"P52100032109\\\"\\\"]\\\" \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" countryId \",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n \" cmf3zcoe80000vcf8sd4qfpwd\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" stateId \",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \" cmf3ze56e0002vcf8e0hjqnsw\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" cityId \",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n \" cmf50r5a00000vcj0k1iuocuu\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" localityId \",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 4,\n \"samples\": [\n \" cmf6pk0cn0033vcxshxbf5hdh\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" subLocalityId \",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \" cmfdn705v001pvc90uyle9m34\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" projectSummary \",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \" \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" possessionDate\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 3,\n \"samples\": [\n \" 2025-09-28 00:00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {} } ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 379 }, "id": "29bd19e6", "outputId": "94dfdf8c-0302-47dd-8c45-7444ea5e73cb" }, "source": [ "project_address_df = pd.read_csv('/content/ProjectAddress.csv', sep=',', on_bad_lines='skip')\n", "display(project_address_df.head())" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " id projectId \\\n", "0 cmf53kl01000nvcu8ibut7fka cmf53kkzy000fvcu8tx8jwjmr \n", "1 cmfc6pq1n000cvca0gpdjstzf cmfc6pq1k0001vca0ikzb258m \n", "2 cmfc79ip8001lvca0o1ls6fuz cmfc79ip5001cvca0qht6o44p \n", "3 cmfcccifw004vvca0mvtcgxos cmfcccifs004nvca0b7im3r5a \n", "4 cmff8swbn0007vxp7bhj7cmqv cmff8swbm0001vxp7pe3neibi \n", "\n", " landmark \\\n", "0 Babys school \n", "1 JBCN International School Mulund \n", "2 JBCN International School Parel \n", "3 Lodha Xperia Mall \n", "4 sdfgb \n", "\n", " fullAddress \\\n", "0 Mumbai chembur \n", "1 Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 \n", "2 AVENUE 15 Ramesh Barrel Supplying Company K.T.Gupta Wadi S.P.Murai Rd behind Sewri Road Sewri W Maharashtra 400015 \n", "3 64C5+C63 Dombivli East Dombivli Maharashtra 421301 \n", "4 asdfgh \n", "\n", " pincode \n", "0 411017 \n", "1 400081 \n", "2 400015 \n", "3 421201 \n", "4 123456 " ], "text/html": [ "\n", "
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idprojectIdlandmarkfullAddresspincode
0cmf53kl01000nvcu8ibut7fkacmf53kkzy000fvcu8tx8jwjmrBabys schoolMumbai chembur411017
1cmfc6pq1n000cvca0gpdjstzfcmfc6pq1k0001vca0ikzb258mJBCN International School MulundPrataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081400081
2cmfc79ip8001lvca0o1ls6fuzcmfc79ip5001cvca0qht6o44pJBCN International School ParelAVENUE 15 Ramesh Barrel Supplying Company K.T.Gupta Wadi S.P.Murai Rd behind Sewri Road Sewri W Maharashtra 400015400015
3cmfcccifw004vvca0mvtcgxoscmfcccifs004nvca0b7im3r5aLodha Xperia Mall64C5+C63 Dombivli East Dombivli Maharashtra 421301421201
4cmff8swbn0007vxp7bhj7cmqvcmff8swbm0001vxp7pe3neibisdfgbasdfgh123456
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"display(project_address_df\",\n \"rows\": 5,\n \"fields\": [\n {\n \"column\": \"id \",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"cmfc6pq1n000cvca0gpdjstzf\",\n \"cmff8swbn0007vxp7bhj7cmqv\",\n \"cmfc79ip8001lvca0o1ls6fuz\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" projectId \",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \" cmfc6pq1k0001vca0ikzb258m\",\n \" cmff8swbm0001vxp7pe3neibi\",\n \" cmfc79ip5001cvca0qht6o44p\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" landmark \",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \" JBCN International School Mulund \",\n \" sdfgb \",\n \" JBCN International School Parel \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" fullAddress \",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \" Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 \",\n \" asdfgh \",\n \" AVENUE 15 Ramesh Barrel Supplying Company K.T.Gupta Wadi S.P.Murai Rd behind Sewri Road Sewri W Maharashtra 400015 \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" pincode\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 127590,\n \"min\": 123456,\n \"max\": 421201,\n \"num_unique_values\": 5,\n \"samples\": [\n 400081,\n 123456,\n 400015\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {} } ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "666d8cd0", "outputId": "cd2d31ed-0cf9-4cf6-96ef-c3aebe1c8a34" }, "source": [ "print(project_df.columns)\n", "print(project_address_df.columns)" ], "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Index(['id ', ' projectType',\n", " ' projectName ', ' projectCategory',\n", " ' slug ', ' slugId',\n", " ' status ', ' projectAge',\n", " ' reraId ',\n", " ' countryId ', ' stateId ',\n", " ' cityId ', ' localityId ',\n", " ' subLocalityId ',\n", " ' projectSummary ',\n", " ' possessionDate'],\n", " dtype='object')\n", "Index(['id ', ' projectId ',\n", " ' landmark ',\n", " ' fullAddress ',\n", " ' pincode'],\n", " dtype='object')\n" ] } ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 781 }, "id": "b1681fd7", "outputId": "f1530172-3374-4113-f6b2-4b70ddf082df" }, "source": [ "# merging the two tables\n", "project_df.columns = project_df.columns.str.strip()\n", "project_address_df.columns = project_address_df.columns.str.strip()\n", "project_df['id'] = project_df['id'].str.strip()\n", "project_address_df['projectId'] = project_address_df['projectId'].str.strip()\n", "merged_df = pd.merge(project_df, project_address_df, left_on='id', right_on='projectId', how='inner')\n", "display(merged_df.head())" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " id_x projectType \\\n", "0 cmf53kkzy000fvcu8tx8jwjmr RESIDENTIAL \n", "1 cmfc6pq1k0001vca0ikzb258m RESIDENTIAL \n", "2 cmfc79ip5001cvca0qht6o44p RESIDENTIAL \n", "3 cmfcccifs004nvca0b7im3r5a RESIDENTIAL \n", "4 cmff8swbm0001vxp7pe3neibi RESIDENTIAL \n", "\n", " projectName projectCategory \\\n", "0 Ashwini STANDALONE \n", "1 Sainath Vrindavan STANDALONE \n", "2 Avenue 15 STANDALONE \n", "3 Balaji Kanha STANDALONE \n", "4 testing STANDALONE \n", "\n", " slug slugId \\\n", "0 luxury-ashwini-ashoknagar-chembur-mumbai-675058 \n", "1 luxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861 \n", "2 avenue-15-ashoknagar-chembur-mumbai-140508 \n", "3 balaji-kanha--ashoknagar-chembur-mumbai-678207 \n", "4 testing-modelcolony-shivajinagar-pune-301013 \n", "\n", " status projectAge \\\n", "0 UNDER_CONSTRUCTION \n", "1 UNDER_CONSTRUCTION \n", "2 UNDER_CONSTRUCTION \n", "3 UNDER_CONSTRUCTION \n", "4 READY_TO_MOVE 11.0 \n", "\n", " reraId \\\n", "0 \"[\"\"P99000056045\"\"]\" \n", "1 \"[\"\"[\\\"\"P51800049646\\\"\"]\"\"]\" \n", "2 \"[\"\"[\\\"\"P51900032165\\\"\"]\"\"]\" \n", "3 \"[\"\"[\\\"\"P51700048490\\\"\"]\"\"]\" \n", "4 \"[\"\"123456789\"\"]\" \n", "\n", " countryId stateId \\\n", "0 cmfw6qdtd0000vx6uelma0klf cmf3ze56e0002vcf8e0hjqnsw \n", "1 cmf3zcoe80000vcf8sd4qfpwd cmf3ze56e0002vcf8e0hjqnsw \n", "2 cmf3zcoe80000vcf8sd4qfpwd cmf3ze56e0002vcf8e0hjqnsw \n", "3 cmf3zcoe80000vcf8sd4qfpwd cmf3ze56e0002vcf8e0hjqnsw \n", "4 cmf3zcoe80000vcf8sd4qfpwd cmf3ze56e0002vcf8e0hjqnsw \n", "\n", " cityId localityId \\\n", "0 cmf6nu3ru000gvcxspxarll3v cmf6pksk30035vcxs7r2mo3iq \n", "1 cmf50r5a00000vcj0k1iuocuu cmf51ieam0001vcj0kljobiod \n", "2 cmf50r5a00000vcj0k1iuocuu cmf51ieam0001vcj0kljobiod \n", "3 cmf50r5a00000vcj0k1iuocuu cmf51ieam0001vcj0kljobiod \n", "4 cmf6nu3ru000gvcxspxarll3v cmf6pk0cn0033vcxshxbf5hdh \n", "\n", " subLocalityId \\\n", "0 cmfdkuymm0001vc90iiyzkr8d \n", "1 cmf51ix980003vcj0z7abv17k \n", "2 cmf51ix980003vcj0z7abv17k \n", "3 cmf51ix980003vcj0z7abv17k \n", "4 cmfdn705v001pvc90uyle9m34 \n", "\n", " projectSummary \\\n", "0 \n", "1 \n", "2 \n", "3 \n", "4 sdfghjhgfdfghjgfdfghgfgh \n", "\n", " possessionDate id_y projectId \\\n", "0 2025-09-28 00:00:00 cmf53kl01000nvcu8ibut7fka cmf53kkzy000fvcu8tx8jwjmr \n", "1 cmfc6pq1n000cvca0gpdjstzf cmfc6pq1k0001vca0ikzb258m \n", "2 cmfc79ip8001lvca0o1ls6fuz cmfc79ip5001cvca0qht6o44p \n", "3 cmfcccifw004vvca0mvtcgxos cmfcccifs004nvca0b7im3r5a \n", "4 cmff8swbn0007vxp7bhj7cmqv cmff8swbm0001vxp7pe3neibi \n", "\n", " landmark \\\n", "0 Babys school \n", "1 JBCN International School Mulund \n", "2 JBCN International School Parel \n", "3 Lodha Xperia Mall \n", "4 sdfgb \n", "\n", " fullAddress \\\n", "0 Mumbai chembur \n", "1 Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 \n", "2 AVENUE 15 Ramesh Barrel Supplying Company K.T.Gupta Wadi S.P.Murai Rd behind Sewri Road Sewri W Maharashtra 400015 \n", "3 64C5+C63 Dombivli East Dombivli Maharashtra 421301 \n", "4 asdfgh \n", "\n", " pincode \n", "0 411017 \n", "1 400081 \n", "2 400015 \n", "3 421201 \n", "4 123456 " ], "text/html": [ "\n", "
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id_xprojectTypeprojectNameprojectCategoryslugslugIdstatusprojectAgereraIdcountryIdstateIdcityIdlocalityIdsubLocalityIdprojectSummarypossessionDateid_yprojectIdlandmarkfullAddresspincode
0cmf53kkzy000fvcu8tx8jwjmrRESIDENTIALAshwiniSTANDALONEluxury-ashwini-ashoknagar-chembur-mumbai-675058UNDER_CONSTRUCTION\"[\"\"P99000056045\"\"]\"cmfw6qdtd0000vx6uelma0klfcmf3ze56e0002vcf8e0hjqnswcmf6nu3ru000gvcxspxarll3vcmf6pksk30035vcxs7r2mo3iqcmfdkuymm0001vc90iiyzkr8d2025-09-28 00:00:00cmf53kl01000nvcu8ibut7fkacmf53kkzy000fvcu8tx8jwjmrBabys schoolMumbai chembur411017
1cmfc6pq1k0001vca0ikzb258mRESIDENTIALSainath VrindavanSTANDALONEluxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861UNDER_CONSTRUCTION\"[\"\"[\\\"\"P51800049646\\\"\"]\"\"]\"cmf3zcoe80000vcf8sd4qfpwdcmf3ze56e0002vcf8e0hjqnswcmf50r5a00000vcj0k1iuocuucmf51ieam0001vcj0kljobiodcmf51ix980003vcj0z7abv17kcmfc6pq1n000cvca0gpdjstzfcmfc6pq1k0001vca0ikzb258mJBCN International School MulundPrataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081400081
2cmfc79ip5001cvca0qht6o44pRESIDENTIALAvenue 15STANDALONEavenue-15-ashoknagar-chembur-mumbai-140508UNDER_CONSTRUCTION\"[\"\"[\\\"\"P51900032165\\\"\"]\"\"]\"cmf3zcoe80000vcf8sd4qfpwdcmf3ze56e0002vcf8e0hjqnswcmf50r5a00000vcj0k1iuocuucmf51ieam0001vcj0kljobiodcmf51ix980003vcj0z7abv17kcmfc79ip8001lvca0o1ls6fuzcmfc79ip5001cvca0qht6o44pJBCN International School ParelAVENUE 15 Ramesh Barrel Supplying Company K.T.Gupta Wadi S.P.Murai Rd behind Sewri Road Sewri W Maharashtra 400015400015
3cmfcccifs004nvca0b7im3r5aRESIDENTIALBalaji KanhaSTANDALONEbalaji-kanha--ashoknagar-chembur-mumbai-678207UNDER_CONSTRUCTION\"[\"\"[\\\"\"P51700048490\\\"\"]\"\"]\"cmf3zcoe80000vcf8sd4qfpwdcmf3ze56e0002vcf8e0hjqnswcmf50r5a00000vcj0k1iuocuucmf51ieam0001vcj0kljobiodcmf51ix980003vcj0z7abv17kcmfcccifw004vvca0mvtcgxoscmfcccifs004nvca0b7im3r5aLodha Xperia Mall64C5+C63 Dombivli East Dombivli Maharashtra 421301421201
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id_xprojectTypeprojectNameprojectCategoryslugslugIdstatusprojectAgereraIdcountryIdstateIdcityIdlocalityIdsubLocalityIdprojectSummarypossessionDateid_yprojectIdlandmarkfullAddresspincode
0cmf53kkzy000fvcu8tx8jwjmrRESIDENTIALAshwiniSTANDALONEluxury-ashwini-ashoknagar-chembur-mumbai-675058UNDER_CONSTRUCTION\"[\"\"P99000056045\"\"]\"cmfw6qdtd0000vx6uelma0klfcmf3ze56e0002vcf8e0hjqnswcmf6nu3ru000gvcxspxarll3vcmf6pksk30035vcxs7r2mo3iqcmfdkuymm0001vc90iiyzkr8d2025-09-28 00:00:00cmf53kl01000nvcu8ibut7fkacmf53kkzy000fvcu8tx8jwjmrBabys schoolMumbai chembur411017
1cmfc6pq1k0001vca0ikzb258mRESIDENTIALSainath VrindavanSTANDALONEluxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861UNDER_CONSTRUCTION\"[\"\"[\\\"\"P51800049646\\\"\"]\"\"]\"cmf3zcoe80000vcf8sd4qfpwdcmf3ze56e0002vcf8e0hjqnswcmf50r5a00000vcj0k1iuocuucmf51ieam0001vcj0kljobiodcmf51ix980003vcj0z7abv17kcmfc6pq1n000cvca0gpdjstzfcmfc6pq1k0001vca0ikzb258mJBCN International School MulundPrataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081400081
2cmfc79ip5001cvca0qht6o44pRESIDENTIALAvenue 15STANDALONEavenue-15-ashoknagar-chembur-mumbai-140508UNDER_CONSTRUCTION\"[\"\"[\\\"\"P51900032165\\\"\"]\"\"]\"cmf3zcoe80000vcf8sd4qfpwdcmf3ze56e0002vcf8e0hjqnswcmf50r5a00000vcj0k1iuocuucmf51ieam0001vcj0kljobiodcmf51ix980003vcj0z7abv17kcmfc79ip8001lvca0o1ls6fuzcmfc79ip5001cvca0qht6o44pJBCN International School ParelAVENUE 15 Ramesh Barrel Supplying Company K.T.Gupta Wadi S.P.Murai Rd behind Sewri Road Sewri W Maharashtra 400015400015
3cmfcccifs004nvca0b7im3r5aRESIDENTIALBalaji KanhaSTANDALONEbalaji-kanha--ashoknagar-chembur-mumbai-678207UNDER_CONSTRUCTION\"[\"\"[\\\"\"P51700048490\\\"\"]\"\"]\"cmf3zcoe80000vcf8sd4qfpwdcmf3ze56e0002vcf8e0hjqnswcmf50r5a00000vcj0k1iuocuucmf51ieam0001vcj0kljobiodcmf51ix980003vcj0z7abv17kcmfcccifw004vvca0mvtcgxoscmfcccifs004nvca0b7im3r5aLodha Xperia Mall64C5+C63 Dombivli East Dombivli Maharashtra 421301421201
4cmff8swbm0001vxp7pe3neibiRESIDENTIALtestingSTANDALONEtesting-modelcolony-shivajinagar-pune-301013READY_TO_MOVE11.0\"[\"\"123456789\"\"]\"cmf3zcoe80000vcf8sd4qfpwdcmf3ze56e0002vcf8e0hjqnswcmf6nu3ru000gvcxspxarll3vcmf6pk0cn0033vcxshxbf5hdhcmfdn705v001pvc90uyle9m34sdfghjhgfdfghjgfdfghgfghcmff8swbn0007vxp7bhj7cmqvcmff8swbm0001vxp7pe3neibisdfgbasdfgh123456
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe" } }, "metadata": {} } ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "2827bc9f", "outputId": "4a5c236b-652a-4bad-c45f-e81524bda3ac" }, "source": [ "print(\"Unique values in project_df['id']:\")\n", "print(project_df['id'].unique())\n", "\n", "print(\"\\nUnique values in project_address_df['projectId']:\")\n", "print(project_address_df['projectId'].unique())" ], "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Unique values in project_df['id']:\n", "['cmf53kkzy000fvcu8tx8jwjmr' 'cmf5r6hv00001vxptnfichhfl'\n", " 'cmfawdrno0007vc18l0fm0z2j' 'cmfaxq2oo0020vc1806nmle00'\n", " 'cmfaycwy70036vc18ppmb8mwh' 'cmfc6pq1k0001vca0ikzb258m'\n", " 'cmfc79ip5001cvca0qht6o44p' 'cmfc80zv1002dvca0hcgoc6ea'\n", " 'cmfc8w1e8003dvca0yvieggaz' 'cmfcccifs004nvca0b7im3r5a'\n", " 'cmfcd6uup005fvca03vhph9j1' 'cmfcdo9ei006gvca0wq9t8usr'\n", " 'cmfcg9ren0001vc209rw25eve' 'cmfdnk2rz001rvc90t6aa3f0e'\n", " 'cmfdro2w2002ivc90co2n24lb' 'cmfdssd190037vc90paoxv29h'\n", " 'cmfdvkxeu0053vc90gquj3cbz' 'cmfdxi4sv005rvc90ygfhnzc9'\n", " 'cmfdyb2yc006rvc900owycgrv' 'cmfdz9fvx0088vc90pw26eyr8'\n", " 'cmfe01l6h009gvc90y1zazr09' 'cmff8swbm0001vxp7pe3neibi'\n", " 'cmfxtgtbw0009vxov4t5onh7d']\n", "\n", "Unique values in project_address_df['projectId']:\n", "['cmf53kkzy000fvcu8tx8jwjmr' 'cmfc6pq1k0001vca0ikzb258m'\n", " 'cmfc79ip5001cvca0qht6o44p' 'cmfcccifs004nvca0b7im3r5a'\n", " 'cmff8swbm0001vxp7pe3neibi' 'cmftjwws60001vx55r0q7797l'\n", " 'cmfw5ivra0001vxnkbozvz8bd' 'cmfwd377z0008vxgxd9nju858'\n", " 'cmfxtgtbw0009vxov4t5onh7d']\n" ] } ] }, { "cell_type": "code", "source": [ "project_configuration_df = pd.read_csv('/content/ProjectConfiguration.csv', sep=',', on_bad_lines='skip')\n", "display(project_configuration_df.head())" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 206 }, "id": "nLqGjZC02Q_L", "outputId": "93dc1a6a-fa87-44b7-c804-f94f458a8873" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " id projectId propertyCategory \\\n", "0 cmf53kkzz000ivcu89r5399s4 cmf53kkzy000fvcu8tx8jwjmr RESIDENTIAL \n", "1 cmf53kl00000kvcu86ivy65di cmf53kkzy000fvcu8tx8jwjmr RESIDENTIAL \n", "2 cmf5r6hv20004vxpt0l657blu cmf5r6hv00001vxptnfichhfl RESIDENTIAL \n", "3 cmfawdrnq000avc18qcvaxzi9 cmfawdrno0007vc18l0fm0z2j RESIDENTIAL \n", "4 cmfawdrnr000dvc188hupv4yy cmfawdrno0007vc18l0fm0z2j RESIDENTIAL \n", "\n", " type customBHK \n", "0 1BHK \n", "1 2BHK \n", "2 2BHK 2BHK \n", "3 1BHK 1BHK \n", "4 3BHK 3BHK " ], "text/html": [ "\n", "
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idprojectIdpropertyCategorytypecustomBHK
0cmf53kkzz000ivcu89r5399s4cmf53kkzy000fvcu8tx8jwjmrRESIDENTIAL1BHK
1cmf53kl00000kvcu86ivy65dicmf53kkzy000fvcu8tx8jwjmrRESIDENTIAL2BHK
2cmf5r6hv20004vxpt0l657blucmf5r6hv00001vxptnfichhflRESIDENTIAL2BHK2BHK
3cmfawdrnq000avc18qcvaxzi9cmfawdrno0007vc18l0fm0z2jRESIDENTIAL1BHK1BHK
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"display(project_configuration_df\",\n \"rows\": 5,\n \"fields\": [\n {\n \"column\": \"id \",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"cmf53kl00000kvcu86ivy65di\",\n \"cmfawdrnr000dvc188hupv4yy\",\n \"cmf5r6hv20004vxpt0l657blu\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" projectId \",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 3,\n \"samples\": [\n \" cmf53kkzy000fvcu8tx8jwjmr\",\n \" cmf5r6hv00001vxptnfichhfl\",\n \" cmfawdrno0007vc18l0fm0z2j\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" propertyCategory\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \" RESIDENTIAL \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" type \",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 3,\n \"samples\": [\n \" 1BHK \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" customBHK\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 4,\n \"samples\": [\n \" 2BHK\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {} } ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 258 }, "id": "c8a6f37c", "outputId": "af316d7a-ecff-4fa8-b16c-4e4ffc90b190" }, "source": [ "display(project_configuration_df.head())\n", "print(project_configuration_df.columns)" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " id projectId propertyCategory \\\n", "0 cmf53kkzz000ivcu89r5399s4 cmf53kkzy000fvcu8tx8jwjmr RESIDENTIAL \n", "1 cmf53kl00000kvcu86ivy65di cmf53kkzy000fvcu8tx8jwjmr RESIDENTIAL \n", "2 cmf5r6hv20004vxpt0l657blu cmf5r6hv00001vxptnfichhfl RESIDENTIAL \n", "3 cmfawdrnq000avc18qcvaxzi9 cmfawdrno0007vc18l0fm0z2j RESIDENTIAL \n", "4 cmfawdrnr000dvc188hupv4yy cmfawdrno0007vc18l0fm0z2j RESIDENTIAL \n", "\n", " type customBHK \n", "0 1BHK \n", "1 2BHK \n", "2 2BHK 2BHK \n", "3 1BHK 1BHK \n", "4 3BHK 3BHK " ], "text/html": [ "\n", "
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idprojectIdpropertyCategorytypecustomBHK
0cmf53kkzz000ivcu89r5399s4cmf53kkzy000fvcu8tx8jwjmrRESIDENTIAL1BHK
1cmf53kl00000kvcu86ivy65dicmf53kkzy000fvcu8tx8jwjmrRESIDENTIAL2BHK
2cmf5r6hv20004vxpt0l657blucmf5r6hv00001vxptnfichhflRESIDENTIAL2BHK2BHK
3cmfawdrnq000avc18qcvaxzi9cmfawdrno0007vc18l0fm0z2jRESIDENTIAL1BHK1BHK
4cmfawdrnr000dvc188hupv4yycmfawdrno0007vc18l0fm0z2jRESIDENTIAL3BHK3BHK
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"print(project_configuration_df\",\n \"rows\": 5,\n \"fields\": [\n {\n \"column\": \"id \",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"cmf53kl00000kvcu86ivy65di\",\n \"cmfawdrnr000dvc188hupv4yy\",\n \"cmf5r6hv20004vxpt0l657blu\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" projectId \",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 3,\n \"samples\": [\n \" cmf53kkzy000fvcu8tx8jwjmr\",\n \" cmf5r6hv00001vxptnfichhfl\",\n \" cmfawdrno0007vc18l0fm0z2j\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" propertyCategory\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \" RESIDENTIAL \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" type \",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 3,\n \"samples\": [\n \" 1BHK \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" customBHK\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 4,\n \"samples\": [\n \" 2BHK\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "Index(['id ', ' projectId ',\n", " ' propertyCategory', ' type ', ' customBHK'],\n", " dtype='object')\n" ] } ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 764 }, "id": "1952e07f", "outputId": "edb8cedd-d73a-4e92-b039-7c437fb5ca6b" }, "source": [ "project_configuration_df.columns = project_configuration_df.columns.str.strip()\n", "project_configuration_df['projectId'] = project_configuration_df['projectId'].str.strip()\n", "merged_df_with_config = pd.merge(merged_df, project_configuration_df, left_on='id_x', right_on='projectId', how='inner')\n", "display(merged_df_with_config.head())" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " id_x projectType \\\n", "0 cmf53kkzy000fvcu8tx8jwjmr RESIDENTIAL \n", "1 cmf53kkzy000fvcu8tx8jwjmr RESIDENTIAL \n", "2 cmfc6pq1k0001vca0ikzb258m RESIDENTIAL \n", "3 cmfc6pq1k0001vca0ikzb258m RESIDENTIAL \n", "4 cmfc6pq1k0001vca0ikzb258m RESIDENTIAL \n", "\n", " projectName projectCategory \\\n", "0 Ashwini STANDALONE \n", "1 Ashwini STANDALONE \n", "2 Sainath Vrindavan STANDALONE \n", "3 Sainath Vrindavan STANDALONE \n", "4 Sainath Vrindavan STANDALONE \n", "\n", " slug slugId \\\n", "0 luxury-ashwini-ashoknagar-chembur-mumbai-675058 \n", "1 luxury-ashwini-ashoknagar-chembur-mumbai-675058 \n", "2 luxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861 \n", "3 luxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861 \n", "4 luxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861 \n", "\n", " status projectAge \\\n", "0 UNDER_CONSTRUCTION \n", "1 UNDER_CONSTRUCTION \n", "2 UNDER_CONSTRUCTION \n", "3 UNDER_CONSTRUCTION \n", "4 UNDER_CONSTRUCTION \n", "\n", " reraId \\\n", "0 \"[\"\"P99000056045\"\"]\" \n", "1 \"[\"\"P99000056045\"\"]\" \n", "2 \"[\"\"[\\\"\"P51800049646\\\"\"]\"\"]\" \n", "3 \"[\"\"[\\\"\"P51800049646\\\"\"]\"\"]\" \n", "4 \"[\"\"[\\\"\"P51800049646\\\"\"]\"\"]\" \n", "\n", " countryId stateId \\\n", "0 cmfw6qdtd0000vx6uelma0klf cmf3ze56e0002vcf8e0hjqnsw \n", "1 cmfw6qdtd0000vx6uelma0klf cmf3ze56e0002vcf8e0hjqnsw \n", "2 cmf3zcoe80000vcf8sd4qfpwd cmf3ze56e0002vcf8e0hjqnsw \n", "3 cmf3zcoe80000vcf8sd4qfpwd cmf3ze56e0002vcf8e0hjqnsw \n", "4 cmf3zcoe80000vcf8sd4qfpwd cmf3ze56e0002vcf8e0hjqnsw \n", "\n", " cityId localityId \\\n", "0 cmf6nu3ru000gvcxspxarll3v cmf6pksk30035vcxs7r2mo3iq \n", "1 cmf6nu3ru000gvcxspxarll3v cmf6pksk30035vcxs7r2mo3iq \n", "2 cmf50r5a00000vcj0k1iuocuu cmf51ieam0001vcj0kljobiod \n", "3 cmf50r5a00000vcj0k1iuocuu cmf51ieam0001vcj0kljobiod \n", "4 cmf50r5a00000vcj0k1iuocuu cmf51ieam0001vcj0kljobiod \n", "\n", " subLocalityId \\\n", "0 cmfdkuymm0001vc90iiyzkr8d \n", "1 cmfdkuymm0001vc90iiyzkr8d \n", "2 cmf51ix980003vcj0z7abv17k \n", "3 cmf51ix980003vcj0z7abv17k \n", "4 cmf51ix980003vcj0z7abv17k \n", "\n", " projectSummary \\\n", "0 \n", "1 \n", "2 \n", "3 \n", "4 \n", "\n", " possessionDate id_y projectId_x \\\n", "0 2025-09-28 00:00:00 cmf53kl01000nvcu8ibut7fka cmf53kkzy000fvcu8tx8jwjmr \n", "1 2025-09-28 00:00:00 cmf53kl01000nvcu8ibut7fka cmf53kkzy000fvcu8tx8jwjmr \n", "2 cmfc6pq1n000cvca0gpdjstzf cmfc6pq1k0001vca0ikzb258m \n", "3 cmfc6pq1n000cvca0gpdjstzf cmfc6pq1k0001vca0ikzb258m \n", "4 cmfc6pq1n000cvca0gpdjstzf cmfc6pq1k0001vca0ikzb258m \n", "\n", " landmark \\\n", "0 Babys school \n", "1 Babys school \n", "2 JBCN International School Mulund \n", "3 JBCN International School Mulund \n", "4 JBCN International School Mulund \n", "\n", " fullAddress \\\n", "0 Mumbai chembur \n", "1 Mumbai chembur \n", "2 Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 \n", "3 Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 \n", "4 Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 \n", "\n", " pincode id projectId_y \\\n", "0 411017 cmf53kkzz000ivcu89r5399s4 cmf53kkzy000fvcu8tx8jwjmr \n", "1 411017 cmf53kl00000kvcu86ivy65di cmf53kkzy000fvcu8tx8jwjmr \n", "2 400081 cmfc6pq1m0004vca0cdihsx99 cmfc6pq1k0001vca0ikzb258m \n", "3 400081 cmfc6pq1m0006vca04kqz1wsp cmfc6pq1k0001vca0ikzb258m \n", "4 400081 cmfc6pq1m0009vca0tmv501em cmfc6pq1k0001vca0ikzb258m \n", "\n", " propertyCategory type customBHK \n", "0 RESIDENTIAL 1BHK \n", "1 RESIDENTIAL 2BHK \n", "2 RESIDENTIAL 1BHK 1BHK \n", "3 RESIDENTIAL 2BHK 2BHK \n", "4 RESIDENTIAL 3BHK 3BHK " ], "text/html": [ "\n", "
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id_xprojectTypeprojectNameprojectCategoryslugslugIdstatusprojectAgereraIdcountryIdstateIdcityIdlocalityIdsubLocalityIdprojectSummarypossessionDateid_yprojectId_xlandmarkfullAddresspincodeidprojectId_ypropertyCategorytypecustomBHK
0cmf53kkzy000fvcu8tx8jwjmrRESIDENTIALAshwiniSTANDALONEluxury-ashwini-ashoknagar-chembur-mumbai-675058UNDER_CONSTRUCTION\"[\"\"P99000056045\"\"]\"cmfw6qdtd0000vx6uelma0klfcmf3ze56e0002vcf8e0hjqnswcmf6nu3ru000gvcxspxarll3vcmf6pksk30035vcxs7r2mo3iqcmfdkuymm0001vc90iiyzkr8d2025-09-28 00:00:00cmf53kl01000nvcu8ibut7fkacmf53kkzy000fvcu8tx8jwjmrBabys schoolMumbai chembur411017cmf53kkzz000ivcu89r5399s4cmf53kkzy000fvcu8tx8jwjmrRESIDENTIAL1BHK
1cmf53kkzy000fvcu8tx8jwjmrRESIDENTIALAshwiniSTANDALONEluxury-ashwini-ashoknagar-chembur-mumbai-675058UNDER_CONSTRUCTION\"[\"\"P99000056045\"\"]\"cmfw6qdtd0000vx6uelma0klfcmf3ze56e0002vcf8e0hjqnswcmf6nu3ru000gvcxspxarll3vcmf6pksk30035vcxs7r2mo3iqcmfdkuymm0001vc90iiyzkr8d2025-09-28 00:00:00cmf53kl01000nvcu8ibut7fkacmf53kkzy000fvcu8tx8jwjmrBabys schoolMumbai chembur411017cmf53kl00000kvcu86ivy65dicmf53kkzy000fvcu8tx8jwjmrRESIDENTIAL2BHK
2cmfc6pq1k0001vca0ikzb258mRESIDENTIALSainath VrindavanSTANDALONEluxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861UNDER_CONSTRUCTION\"[\"\"[\\\"\"P51800049646\\\"\"]\"\"]\"cmf3zcoe80000vcf8sd4qfpwdcmf3ze56e0002vcf8e0hjqnswcmf50r5a00000vcj0k1iuocuucmf51ieam0001vcj0kljobiodcmf51ix980003vcj0z7abv17kcmfc6pq1n000cvca0gpdjstzfcmfc6pq1k0001vca0ikzb258mJBCN International School MulundPrataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081400081cmfc6pq1m0004vca0cdihsx99cmfc6pq1k0001vca0ikzb258mRESIDENTIAL1BHK1BHK
3cmfc6pq1k0001vca0ikzb258mRESIDENTIALSainath VrindavanSTANDALONEluxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861UNDER_CONSTRUCTION\"[\"\"[\\\"\"P51800049646\\\"\"]\"\"]\"cmf3zcoe80000vcf8sd4qfpwdcmf3ze56e0002vcf8e0hjqnswcmf50r5a00000vcj0k1iuocuucmf51ieam0001vcj0kljobiodcmf51ix980003vcj0z7abv17kcmfc6pq1n000cvca0gpdjstzfcmfc6pq1k0001vca0ikzb258mJBCN International School MulundPrataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081400081cmfc6pq1m0006vca04kqz1wspcmfc6pq1k0001vca0ikzb258mRESIDENTIAL2BHK2BHK
4cmfc6pq1k0001vca0ikzb258mRESIDENTIALSainath VrindavanSTANDALONEluxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861UNDER_CONSTRUCTION\"[\"\"[\\\"\"P51800049646\\\"\"]\"\"]\"cmf3zcoe80000vcf8sd4qfpwdcmf3ze56e0002vcf8e0hjqnswcmf50r5a00000vcj0k1iuocuucmf51ieam0001vcj0kljobiodcmf51ix980003vcj0z7abv17kcmfc6pq1n000cvca0gpdjstzfcmfc6pq1k0001vca0ikzb258mJBCN International School MulundPrataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081400081cmfc6pq1m0009vca0tmv501emcmfc6pq1k0001vca0ikzb258mRESIDENTIAL3BHK3BHK
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe" } }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "project_conf_var_df = pd.read_csv('/content/ProjectConfigurationVariant.csv', sep=',', on_bad_lines='skip')\n", "display(project_conf_var_df.head())" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 399 }, "id": "thKF4OUh8lqb", "outputId": "21e85eb3-0bb7-4b14-e4f6-2a969f0aa750" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " id \"configurationId\" \"bathrooms\" \\\n", "0 cmf5r6hv20005vxpt3yfnl2qp \"cmf5r6hv20004vxpt0l657blu\" \"12\" \n", "1 cmf5r6hv20006vxptcx3lmm05 \"cmf5r6hv20004vxpt0l657blu\" \"3\" \n", "2 cmfawdrnq000bvc188680qjyx \"cmfawdrnq000avc18qcvaxzi9\" \"1\" \n", "3 cmfawdrnr000cvc1897rpsu1b \"cmfawdrnq000avc18qcvaxzi9\" \"1\" \n", "4 cmfawdrnr000evc18jwvlery4 \"cmfawdrnr000dvc188hupv4yy\" \"3\" \n", "\n", " \"privateBathrooms\" \"publicBathrooms\" \"balcony\" \"furnishedType\" \\\n", "0 \"3\" \"UNFURNISHED\" \n", "1 \"2\" \"UNFURNISHED\" \n", "2 \"1\" \"UNFURNISHED\" \n", "3 \"1\" \"UNFURNISHED\" \n", "4 \"2\" \"UNFURNISHED\" \n", "\n", " \"furnishingType\" \\\n", "0 \"[]\" \n", "1 \"[]\" \n", "2 \"[]\" \n", "3 \"[]\" \n", "4 \"[]\" \n", "\n", " \"lift\" \"ageOfProperty\" \"parkingType\" \"listingType\" \\\n", "0 \"false\" \"Sell\" \n", "1 \"false\" \"Sell\" \n", "2 \"false\" \"Sell\" \n", "3 \"false\" \"Sell\" \n", "4 \"false\" \"Sell\" \n", "\n", " \"floorPlanImage\" \\\n", "0 \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238520-ba6c9c4021ea321f.jpg\" \n", "1 \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238542-2d39a8b06669406b.jpg\" \n", "2 \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391101-b4e4be9945434d29.jpg\" \n", "3 \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391141-e6c14becbdbd76a2.jpg\" \n", "4 \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391158-41329b8304cff17d.jpg\" \n", "\n", " \"carpetArea\" \"price\" \\\n", "0 \"972\" \"120000000\" \n", "1 \"188.73\" \"210000000\" \n", "2 \"426.57\" \"13000000\" \n", "3 \"460.8\" \"15000000\" \n", "4 \"893.08\" \"29000000\" \n", "\n", " \"propertyImages\" \\\n", "0 \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238541-c8a6e3aced460e18.jpg\"\"]\" \n", "1 \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238542-bd3d1a40c2d7fadb.jpg\"\"]\" \n", "2 \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391106-7c383f81d9c66290.jpg\"\"]\" \n", "3 \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391150-9b806803ceb0c8b6.jpg\"\"]\" \n", "4 \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391167-19d3844213de86cb.jpg\"\"]\" \n", "\n", " \"maintenanceCharges\" \"aboutProperty\" \\\n", "0 \"faded \" \"about property \" \n", "1 \"fsdaffdsafsfdddsa\" \n", "2 \"na\" \n", "3 \"na\" \n", "4 \"na\" \n", "\n", " \"createdAt\" \"updatedAt\" \n", "0 \"2025-09-04 18:42:08.748\" \"2025-09-04 18:42:08.748\" \n", "1 \"2025-09-04 18:42:08.748\" \"2025-09-04 18:42:08.748\" \n", "2 \"2025-09-08 09:06:36.995\" \"2025-09-08 09:06:36.995\" \n", "3 \"2025-09-08 09:06:36.995\" \"2025-09-08 09:06:36.995\" \n", "4 \"2025-09-08 09:06:36.995\" \"2025-09-08 09:06:36.995\" " ], "text/html": [ "\n", "
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id\"configurationId\"\"bathrooms\"\"privateBathrooms\"\"publicBathrooms\"\"balcony\"\"furnishedType\"\"furnishingType\"\"lift\"\"ageOfProperty\"\"parkingType\"\"listingType\"\"floorPlanImage\"\"carpetArea\"\"price\"\"propertyImages\"\"maintenanceCharges\"\"aboutProperty\"\"createdAt\"\"updatedAt\"
0cmf5r6hv20005vxpt3yfnl2qp\"cmf5r6hv20004vxpt0l657blu\"\"12\"\"3\"\"UNFURNISHED\"\"[]\"\"false\"\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238520-ba6c9c4021ea321f.jpg\"\"972\"\"120000000\"\"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238541-c8a6e3aced460e18.jpg\"\"]\"\"faded \"\"about property \"\"2025-09-04 18:42:08.748\"\"2025-09-04 18:42:08.748\"
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"display(project_conf_var_df\",\n \"rows\": 5,\n \"fields\": [\n {\n \"column\": \"id \",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"cmf5r6hv20006vxptcx3lmm05\",\n \"cmfawdrnr000evc18jwvlery4\",\n \"cmfawdrnq000bvc188680qjyx\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" \\\"configurationId\\\" \",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 3,\n \"samples\": [\n \" \\\"cmf5r6hv20004vxpt0l657blu\\\"\",\n \" \\\"cmfawdrnq000avc18qcvaxzi9\\\"\",\n \" \\\"cmfawdrnr000dvc188hupv4yy\\\"\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" \\\"bathrooms\\\"\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 3,\n \"samples\": [\n \" \\\"12\\\" \",\n \" \\\"3\\\" \",\n \" \\\"1\\\" \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" \\\"privateBathrooms\\\"\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \" \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" \\\"publicBathrooms\\\"\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \" \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" \\\"balcony\\\"\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 3,\n \"samples\": [\n \" \\\"3\\\" \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" \\\"furnishedType\\\" \",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \" \\\"UNFURNISHED\\\" \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" \\\"furnishingType\\\" \",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \" \\\"[]\\\" \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" \\\"lift\\\" \",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \" \\\"false\\\"\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" \\\"ageOfProperty\\\"\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \" \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" \\\"parkingType\\\"\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \" \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" \\\"listingType\\\"\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \" \\\"Sell\\\" \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" \\\"floorPlanImage\\\" \",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \" \\\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238542-2d39a8b06669406b.jpg\\\" \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" \\\"carpetArea\\\"\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \" \\\"188.73\\\" \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" \\\"price\\\" \",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \" \\\"210000000\\\"\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" \\\"propertyImages\\\" \",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \" \\\"[\\\"\\\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238542-bd3d1a40c2d7fadb.jpg\\\"\\\"]\\\" \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" \\\"maintenanceCharges\\\"\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n \" \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" \\\"aboutProperty\\\" \",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 3,\n \"samples\": [\n \" \\\"about property \\\" \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" \\\"createdAt\\\" \",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n \" \\\"2025-09-08 09:06:36.995\\\"\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \" \\\"updatedAt\\\"\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n \" \\\"2025-09-08 09:06:36.995\\\"\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {} } ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "9ce724c1", "outputId": "1cc6b9f9-b22d-4e7a-f08c-7b3f3bf65f69" }, "source": [ "# Inspect columns to determine the join key\n", "print(merged_df_with_config.columns)\n", "print(project_conf_var_df.columns)" ], "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Index(['id_x', 'projectType', 'projectName', 'projectCategory', 'slug',\n", " 'slugId', 'status', 'projectAge', 'reraId', 'countryId', 'stateId',\n", " 'cityId', 'localityId', 'subLocalityId', 'projectSummary',\n", " 'possessionDate', 'id_y', 'projectId_x', 'landmark', 'fullAddress',\n", " 'pincode', 'id', 'projectId_y', 'propertyCategory', 'type',\n", " 'customBHK'],\n", " dtype='object')\n", "Index(['id ', ' \"configurationId\" ',\n", " ' \"bathrooms\"', ' \"privateBathrooms\"', ' \"publicBathrooms\"',\n", " ' \"balcony\"', ' \"furnishedType\" ',\n", " ' \"furnishingType\" ',\n", " ' \"lift\" ', ' \"ageOfProperty\"', ' \"parkingType\"', ' \"listingType\"',\n", " ' \"floorPlanImage\" ',\n", " ' \"carpetArea\"', ' \"price\" ',\n", " ' \"propertyImages\" ',\n", " ' \"maintenanceCharges\"', ' \"aboutProperty\" ',\n", " ' \"createdAt\" ', ' \"updatedAt\"'],\n", " dtype='object')\n" ] } ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 781 }, "id": "89e3adf9", "outputId": "880bbbc4-7e77-49c2-a854-b940798c098c" }, "source": [ "# Clean the column name and values in project_conf_var_df\n", "project_conf_var_df.columns = project_conf_var_df.columns.str.strip().str.replace('\"', '')\n", "project_conf_var_df['configurationId'] = project_conf_var_df['configurationId'].str.strip().str.replace('\"', '')\n", "\n", "# Merge the dataframes with suffixes\n", "final_merged_df = pd.merge(merged_df_with_config, project_conf_var_df, left_on='id', right_on='configurationId', how='inner', suffixes=('_config', '_conf_var'))\n", "\n", "# Display the number of rows and columns\n", "print(\"Shape of the final merged dataframe:\", final_merged_df.shape)\n", "\n", "# Display the head of the final merged dataframe\n", "display(final_merged_df.head())" ], "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Shape of the final merged dataframe: (14, 46)\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ " id_x projectType \\\n", "0 cmf53kkzy000fvcu8tx8jwjmr RESIDENTIAL \n", "1 cmf53kkzy000fvcu8tx8jwjmr RESIDENTIAL \n", "2 cmfc6pq1k0001vca0ikzb258m RESIDENTIAL \n", "3 cmfc6pq1k0001vca0ikzb258m RESIDENTIAL \n", "4 cmfc6pq1k0001vca0ikzb258m RESIDENTIAL \n", "\n", " projectName projectCategory \\\n", "0 Ashwini STANDALONE \n", "1 Ashwini STANDALONE \n", "2 Sainath Vrindavan STANDALONE \n", "3 Sainath Vrindavan STANDALONE \n", "4 Sainath Vrindavan STANDALONE \n", "\n", " slug slugId \\\n", "0 luxury-ashwini-ashoknagar-chembur-mumbai-675058 \n", "1 luxury-ashwini-ashoknagar-chembur-mumbai-675058 \n", "2 luxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861 \n", "3 luxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861 \n", "4 luxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861 \n", "\n", " status projectAge \\\n", "0 UNDER_CONSTRUCTION \n", "1 UNDER_CONSTRUCTION \n", "2 UNDER_CONSTRUCTION \n", "3 UNDER_CONSTRUCTION \n", "4 UNDER_CONSTRUCTION \n", "\n", " reraId \\\n", "0 \"[\"\"P99000056045\"\"]\" \n", "1 \"[\"\"P99000056045\"\"]\" \n", "2 \"[\"\"[\\\"\"P51800049646\\\"\"]\"\"]\" \n", "3 \"[\"\"[\\\"\"P51800049646\\\"\"]\"\"]\" \n", "4 \"[\"\"[\\\"\"P51800049646\\\"\"]\"\"]\" \n", "\n", " countryId stateId \\\n", "0 cmfw6qdtd0000vx6uelma0klf cmf3ze56e0002vcf8e0hjqnsw \n", "1 cmfw6qdtd0000vx6uelma0klf cmf3ze56e0002vcf8e0hjqnsw \n", "2 cmf3zcoe80000vcf8sd4qfpwd cmf3ze56e0002vcf8e0hjqnsw \n", "3 cmf3zcoe80000vcf8sd4qfpwd cmf3ze56e0002vcf8e0hjqnsw \n", "4 cmf3zcoe80000vcf8sd4qfpwd cmf3ze56e0002vcf8e0hjqnsw \n", "\n", " cityId localityId \\\n", "0 cmf6nu3ru000gvcxspxarll3v cmf6pksk30035vcxs7r2mo3iq \n", "1 cmf6nu3ru000gvcxspxarll3v cmf6pksk30035vcxs7r2mo3iq \n", "2 cmf50r5a00000vcj0k1iuocuu cmf51ieam0001vcj0kljobiod \n", "3 cmf50r5a00000vcj0k1iuocuu cmf51ieam0001vcj0kljobiod \n", "4 cmf50r5a00000vcj0k1iuocuu cmf51ieam0001vcj0kljobiod \n", "\n", " subLocalityId \\\n", "0 cmfdkuymm0001vc90iiyzkr8d \n", "1 cmfdkuymm0001vc90iiyzkr8d \n", "2 cmf51ix980003vcj0z7abv17k \n", "3 cmf51ix980003vcj0z7abv17k \n", "4 cmf51ix980003vcj0z7abv17k \n", "\n", " projectSummary \\\n", "0 \n", "1 \n", "2 \n", "3 \n", "4 \n", "\n", " possessionDate id_y projectId_x \\\n", "0 2025-09-28 00:00:00 cmf53kl01000nvcu8ibut7fka cmf53kkzy000fvcu8tx8jwjmr \n", "1 2025-09-28 00:00:00 cmf53kl01000nvcu8ibut7fka cmf53kkzy000fvcu8tx8jwjmr \n", "2 cmfc6pq1n000cvca0gpdjstzf cmfc6pq1k0001vca0ikzb258m \n", "3 cmfc6pq1n000cvca0gpdjstzf cmfc6pq1k0001vca0ikzb258m \n", "4 cmfc6pq1n000cvca0gpdjstzf cmfc6pq1k0001vca0ikzb258m \n", "\n", " landmark \\\n", "0 Babys school \n", "1 Babys school \n", "2 JBCN International School Mulund \n", "3 JBCN International School Mulund \n", "4 JBCN International School Mulund \n", "\n", " fullAddress \\\n", "0 Mumbai chembur \n", "1 Mumbai chembur \n", "2 Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 \n", "3 Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 \n", "4 Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 \n", "\n", " pincode id_config projectId_y \\\n", "0 411017 cmf53kkzz000ivcu89r5399s4 cmf53kkzy000fvcu8tx8jwjmr \n", "1 411017 cmf53kl00000kvcu86ivy65di cmf53kkzy000fvcu8tx8jwjmr \n", "2 400081 cmfc6pq1m0004vca0cdihsx99 cmfc6pq1k0001vca0ikzb258m \n", "3 400081 cmfc6pq1m0006vca04kqz1wsp cmfc6pq1k0001vca0ikzb258m \n", "4 400081 cmfc6pq1m0006vca04kqz1wsp cmfc6pq1k0001vca0ikzb258m \n", "\n", " propertyCategory type customBHK id_conf_var \\\n", "0 RESIDENTIAL 1BHK cmff8vfoq0013vxp7h3onmg46 \n", "1 RESIDENTIAL 2BHK cmff8vjd4001dvxp7tq21djvf \n", "2 RESIDENTIAL 1BHK 1BHK cmfc6pq1m0005vca07z1oktrg \n", "3 RESIDENTIAL 2BHK 2BHK cmfc6pq1m0007vca0wei4jsgs \n", "4 RESIDENTIAL 2BHK 2BHK cmfc6pq1m0008vca0hsbdneqc \n", "\n", " configurationId bathrooms privateBathrooms \\\n", "0 cmf53kkzz000ivcu89r5399s4 \"1\" \n", "1 cmf53kl00000kvcu86ivy65di \"0\" \n", "2 cmfc6pq1m0004vca0cdihsx99 \"1\" \n", "3 cmfc6pq1m0006vca04kqz1wsp \"2\" \n", "4 cmfc6pq1m0006vca04kqz1wsp \"2\" \n", "\n", " publicBathrooms balcony furnishedType \\\n", "0 \"1\" \"UNFURNISHED\" \n", "1 \"2\" \"UNFURNISHED\" \n", "2 \"1\" \"UNFURNISHED\" \n", "3 \"2\" \"UNFURNISHED\" \n", "4 \"2\" \"UNFURNISHED\" \n", "\n", " furnishingType \\\n", "0 \"[]\" \n", "1 \"[]\" \n", "2 \"[]\" \n", "3 \"[]\" \n", "4 \"[]\" \n", "\n", " lift ageOfProperty parkingType listingType \\\n", "0 \"false\" \"Sell\" \n", "1 \"false\" \"Sell\" \n", "2 \"false\" \"Sell\" \n", "3 \"false\" \"Sell\" \n", "4 \"false\" \"Sell\" \n", "\n", " floorPlanImage \\\n", "0 \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757584023815-67012c27580e3e23.jpg\" \n", "1 \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-419924a4c5c28823.jpg\" \n", "2 \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210633-ec5431f188d4de3c.jpg\" \n", "3 \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210671-c54804f690eac296.jpg\" \n", "4 \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210675-be2512dbfae0b3f7.jpg\" \n", "\n", " carpetArea price \\\n", "0 \"123\" \"11111111\" \n", "1 \"456\" \"22222222\" \n", "2 \"457.57\" \"12000000\" \n", "3 \"652.83\" \"17000000\" \n", "4 \"728.5\" \"19000000\" \n", "\n", " propertyImages \\\n", "0 \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-1e5179453b5df91d.jpg\"\"]\" \n", "1 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id_xprojectTypeprojectNameprojectCategoryslugslugIdstatusprojectAgereraIdcountryIdstateIdcityIdlocalityIdsubLocalityIdprojectSummarypossessionDateid_yprojectId_xlandmarkfullAddresspincodeid_configprojectId_ypropertyCategorytypecustomBHKid_conf_varconfigurationIdbathroomsprivateBathroomspublicBathroomsbalconyfurnishedTypefurnishingTypeliftageOfPropertyparkingTypelistingTypefloorPlanImagecarpetAreapricepropertyImagesmaintenanceChargesaboutPropertycreatedAtupdatedAt
0cmf53kkzy000fvcu8tx8jwjmrRESIDENTIALAshwiniSTANDALONEluxury-ashwini-ashoknagar-chembur-mumbai-675058UNDER_CONSTRUCTION\"[\"\"P99000056045\"\"]\"cmfw6qdtd0000vx6uelma0klfcmf3ze56e0002vcf8e0hjqnswcmf6nu3ru000gvcxspxarll3vcmf6pksk30035vcxs7r2mo3iqcmfdkuymm0001vc90iiyzkr8d2025-09-28 00:00:00cmf53kl01000nvcu8ibut7fkacmf53kkzy000fvcu8tx8jwjmrBabys schoolMumbai chembur411017cmf53kkzz000ivcu89r5399s4cmf53kkzy000fvcu8tx8jwjmrRESIDENTIAL1BHKcmff8vfoq0013vxp7h3onmg46cmf53kkzz000ivcu89r5399s4\"1\"\"1\"\"UNFURNISHED\"\"[]\"\"false\"\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757584023815-67012c27580e3e23.jpg\"\"123\"\"11111111\"\"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-1e5179453b5df91d.jpg\"\"]\"\"jjhhhu\"\"2025-09-11 10:07:21.386\"\"2025-09-11 10:07:21.386\"
1cmf53kkzy000fvcu8tx8jwjmrRESIDENTIALAshwiniSTANDALONEluxury-ashwini-ashoknagar-chembur-mumbai-675058UNDER_CONSTRUCTION\"[\"\"P99000056045\"\"]\"cmfw6qdtd0000vx6uelma0klfcmf3ze56e0002vcf8e0hjqnswcmf6nu3ru000gvcxspxarll3vcmf6pksk30035vcxs7r2mo3iqcmfdkuymm0001vc90iiyzkr8d2025-09-28 00:00:00cmf53kl01000nvcu8ibut7fkacmf53kkzy000fvcu8tx8jwjmrBabys schoolMumbai chembur411017cmf53kl00000kvcu86ivy65dicmf53kkzy000fvcu8tx8jwjmrRESIDENTIAL2BHKcmff8vjd4001dvxp7tq21djvfcmf53kl00000kvcu86ivy65di\"0\"\"2\"\"UNFURNISHED\"\"[]\"\"false\"\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-419924a4c5c28823.jpg\"\"456\"\"22222222\"\"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-7c8c73119cb2047b.jpg\"\"]\"\"nbhjg\"\"2025-09-11 10:07:26.152\"\"2025-09-11 10:07:26.152\"
2cmfc6pq1k0001vca0ikzb258mRESIDENTIALSainath VrindavanSTANDALONEluxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861UNDER_CONSTRUCTION\"[\"\"[\\\"\"P51800049646\\\"\"]\"\"]\"cmf3zcoe80000vcf8sd4qfpwdcmf3ze56e0002vcf8e0hjqnswcmf50r5a00000vcj0k1iuocuucmf51ieam0001vcj0kljobiodcmf51ix980003vcj0z7abv17kcmfc6pq1n000cvca0gpdjstzfcmfc6pq1k0001vca0ikzb258mJBCN International School MulundPrataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081400081cmfc6pq1m0004vca0cdihsx99cmfc6pq1k0001vca0ikzb258mRESIDENTIAL1BHK1BHKcmfc6pq1m0005vca07z1oktrgcmfc6pq1m0004vca0cdihsx99\"1\"\"1\"\"UNFURNISHED\"\"[]\"\"false\"\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210633-ec5431f188d4de3c.jpg\"\"457.57\"\"12000000\"\"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210665-ab087e966ba018ff.jpg\"\"]\"\"na\"\"2025-09-09 06:43:37.112\"\"2025-09-09 06:43:37.112\"
3cmfc6pq1k0001vca0ikzb258mRESIDENTIALSainath VrindavanSTANDALONEluxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861UNDER_CONSTRUCTION\"[\"\"[\\\"\"P51800049646\\\"\"]\"\"]\"cmf3zcoe80000vcf8sd4qfpwdcmf3ze56e0002vcf8e0hjqnswcmf50r5a00000vcj0k1iuocuucmf51ieam0001vcj0kljobiodcmf51ix980003vcj0z7abv17kcmfc6pq1n000cvca0gpdjstzfcmfc6pq1k0001vca0ikzb258mJBCN International School MulundPrataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081400081cmfc6pq1m0006vca04kqz1wspcmfc6pq1k0001vca0ikzb258mRESIDENTIAL2BHK2BHKcmfc6pq1m0007vca0wei4jsgscmfc6pq1m0006vca04kqz1wsp\"2\"\"2\"\"UNFURNISHED\"\"[]\"\"false\"\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210671-c54804f690eac296.jpg\"\"652.83\"\"17000000\"\"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210672-3f6998fafc9e8521.jpg\"\"]\"\"na\"\"2025-09-09 06:43:37.112\"\"2025-09-09 06:43:37.112\"
4cmfc6pq1k0001vca0ikzb258mRESIDENTIALSainath VrindavanSTANDALONEluxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861UNDER_CONSTRUCTION\"[\"\"[\\\"\"P51800049646\\\"\"]\"\"]\"cmf3zcoe80000vcf8sd4qfpwdcmf3ze56e0002vcf8e0hjqnswcmf50r5a00000vcj0k1iuocuucmf51ieam0001vcj0kljobiodcmf51ix980003vcj0z7abv17kcmfc6pq1n000cvca0gpdjstzfcmfc6pq1k0001vca0ikzb258mJBCN International School MulundPrataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081400081cmfc6pq1m0006vca04kqz1wspcmfc6pq1k0001vca0ikzb258mRESIDENTIAL2BHK2BHKcmfc6pq1m0008vca0hsbdneqccmfc6pq1m0006vca04kqz1wsp\"2\"\"2\"\"UNFURNISHED\"\"[]\"\"false\"\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210675-be2512dbfae0b3f7.jpg\"\"728.5\"\"19000000\"\"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210678-f61b2d8c4b4a4a50.jpg\"\"]\"\"na\"\"2025-09-09 06:43:37.112\"\"2025-09-09 06:43:37.112\"
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe" } }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "# **this is the final data set with all the columns**" ], "metadata": { "id": "C6g4erQjQ7HT" } }, { "cell_type": "code", "source": [ "print(final_merged_df.columns)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "8EEw-UGVAO0K", "outputId": "7b51569c-b4df-455f-9635-7ed656f4f1c9" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Index(['id_x', 'projectType', 'projectName', 'projectCategory', 'slug',\n", " 'slugId', 'status', 'projectAge', 'reraId', 'countryId', 'stateId',\n", " 'cityId', 'localityId', 'subLocalityId', 'projectSummary',\n", " 'possessionDate', 'id_y', 'projectId_x', 'landmark', 'fullAddress',\n", " 'pincode', 'id_config', 'projectId_y', 'propertyCategory', 'type',\n", " 'customBHK', 'id_conf_var', 'configurationId', 'bathrooms',\n", " 'privateBathrooms', 'publicBathrooms', 'balcony', 'furnishedType',\n", " 'furnishingType', 'lift', 'ageOfProperty', 'parkingType', 'listingType',\n", " 'floorPlanImage', 'carpetArea', 'price', 'propertyImages',\n", " 'maintenanceCharges', 'aboutProperty', 'createdAt', 'updatedAt'],\n", " dtype='object')\n" ] } ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 258 }, "id": "5b41b55e", "outputId": "1e413aed-2624-4185-83d3-33210b93caff" }, "source": [ "final_merged_df['Address info'] = final_merged_df['landmark'].astype(str) + ', ' + \\\n", " final_merged_df['fullAddress'].astype(str) + ', ' + \\\n", " final_merged_df['pincode'].astype(str)\n", "\n", "\n", "# Drop the original address columns\n", "final_merged_df = final_merged_df.drop(columns=['landmark', 'fullAddress', 'pincode'])\n", "\n", "display(final_merged_df[['Address info']].head())" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " Address info\n", "0 Babys school , Mumbai chembur , 411017\n", "1 Babys school , Mumbai chembur , 411017\n", "2 JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081\n", "3 JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081\n", "4 JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081" ], "text/html": [ "\n", "
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Address info
0Babys school , Mumbai chembur , 411017
1Babys school , Mumbai chembur , 411017
2JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081
3JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081
4JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"display(final_merged_df[['Address info']]\",\n \"rows\": 5,\n \"fields\": [\n {\n \"column\": \"Address info\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n \" JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081\",\n \" Babys school , Mumbai chembur , 411017\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "print(final_merged_df.columns)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "MoWAfZzlHNmR", "outputId": "bfed8ff6-73fe-495b-94e2-8bdfaaf3a1ea" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Index(['id_x', 'projectType', 'projectName', 'projectCategory', 'slug',\n", " 'slugId', 'status', 'projectAge', 'reraId', 'countryId', 'stateId',\n", " 'cityId', 'localityId', 'subLocalityId', 'projectSummary',\n", " 'possessionDate', 'id_y', 'projectId_x', 'id_config', 'projectId_y',\n", " 'propertyCategory', 'type', 'customBHK', 'id_conf_var',\n", " 'configurationId', 'bathrooms', 'privateBathrooms', 'publicBathrooms',\n", " 'balcony', 'furnishedType', 'furnishingType', 'lift', 'ageOfProperty',\n", " 'parkingType', 'listingType', 'floorPlanImage', 'carpetArea', 'price',\n", " 'propertyImages', 'maintenanceCharges', 'aboutProperty', 'createdAt',\n", " 'updatedAt', 'Address info'],\n", " dtype='object')\n" ] } ] }, { "cell_type": "code", "source": [ "# Set option to display full column content\n", "pd.set_option('display.max_colwidth', None)\n", "\n", "# Display the head of the Address info column again\n", "display(final_merged_df[['Address info']].head())" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 258 }, "id": "Be8i_BhzS1xb", "outputId": "e6770723-e9fc-4185-f4c7-61318da3eaef" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " Address info\n", "0 Babys school , Mumbai chembur , 411017\n", "1 Babys school , Mumbai chembur , 411017\n", "2 JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081\n", "3 JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081\n", "4 JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081" ], "text/html": [ "\n", "
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Address info
0Babys school , Mumbai chembur , 411017
1Babys school , Mumbai chembur , 411017
2JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081
3JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081
4JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081
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cmff8vjd4001dvxp7tq21djvf \n", "2 1BHK 1BHK cmfc6pq1m0005vca07z1oktrg \n", "3 2BHK 2BHK cmfc6pq1m0007vca0wei4jsgs \n", "4 2BHK 2BHK cmfc6pq1m0008vca0hsbdneqc \n", "\n", " configurationId bathrooms privateBathrooms \\\n", "0 cmf53kkzz000ivcu89r5399s4 \"1\" \n", "1 cmf53kl00000kvcu86ivy65di \"0\" \n", "2 cmfc6pq1m0004vca0cdihsx99 \"1\" \n", "3 cmfc6pq1m0006vca04kqz1wsp \"2\" \n", "4 cmfc6pq1m0006vca04kqz1wsp \"2\" \n", "\n", " publicBathrooms balcony furnishedType \\\n", "0 \"1\" \"UNFURNISHED\" \n", "1 \"2\" \"UNFURNISHED\" \n", "2 \"1\" \"UNFURNISHED\" \n", "3 \"2\" \"UNFURNISHED\" \n", "4 \"2\" \"UNFURNISHED\" \n", "\n", " furnishingType \\\n", "0 \"[]\" \n", "1 \"[]\" \n", "2 \"[]\" \n", "3 \"[]\" \n", "4 \"[]\" \n", "\n", " lift ageOfProperty parkingType listingType \\\n", "0 \"false\" \"Sell\" \n", "1 \"false\" \"Sell\" \n", "2 \"false\" \"Sell\" \n", "3 \"false\" \"Sell\" \n", "4 \"false\" \"Sell\" \n", "\n", " floorPlanImage \\\n", "0 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Mulund East Mumbai Maharashtra 400081 , 400081 \n", "3 JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081 \n", "4 JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081 " ], "text/html": [ "\n", "
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id_xprojectTypeprojectNameprojectCategoryslugslugIdstatusprojectAgereraIdcountryIdstateIdcityIdlocalityIdsubLocalityIdprojectSummarypossessionDateid_yprojectId_xid_configprojectId_ypropertyCategorytypecustomBHKid_conf_varconfigurationIdbathroomsprivateBathroomspublicBathroomsbalconyfurnishedTypefurnishingTypeliftageOfPropertyparkingTypelistingTypefloorPlanImagecarpetAreapricepropertyImagesmaintenanceChargesaboutPropertycreatedAtupdatedAtAddress info
0cmf53kkzy000fvcu8tx8jwjmrRESIDENTIALAshwiniSTANDALONEluxury-ashwini-ashoknagar-chembur-mumbai-675058UNDER_CONSTRUCTION\"[\"\"P99000056045\"\"]\"cmfw6qdtd0000vx6uelma0klfcmf3ze56e0002vcf8e0hjqnswcmf6nu3ru000gvcxspxarll3vcmf6pksk30035vcxs7r2mo3iqcmfdkuymm0001vc90iiyzkr8d2025-09-28 00:00:00cmf53kl01000nvcu8ibut7fkacmf53kkzy000fvcu8tx8jwjmrcmf53kkzz000ivcu89r5399s4cmf53kkzy000fvcu8tx8jwjmrRESIDENTIAL1BHKcmff8vfoq0013vxp7h3onmg46cmf53kkzz000ivcu89r5399s4\"1\"\"1\"\"UNFURNISHED\"\"[]\"\"false\"\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757584023815-67012c27580e3e23.jpg\"\"123\"\"11111111\"\"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-1e5179453b5df91d.jpg\"\"]\"\"jjhhhu\"\"2025-09-11 10:07:21.386\"\"2025-09-11 10:07:21.386\"Babys school , Mumbai chembur , 411017
1cmf53kkzy000fvcu8tx8jwjmrRESIDENTIALAshwiniSTANDALONEluxury-ashwini-ashoknagar-chembur-mumbai-675058UNDER_CONSTRUCTION\"[\"\"P99000056045\"\"]\"cmfw6qdtd0000vx6uelma0klfcmf3ze56e0002vcf8e0hjqnswcmf6nu3ru000gvcxspxarll3vcmf6pksk30035vcxs7r2mo3iqcmfdkuymm0001vc90iiyzkr8d2025-09-28 00:00:00cmf53kl01000nvcu8ibut7fkacmf53kkzy000fvcu8tx8jwjmrcmf53kl00000kvcu86ivy65dicmf53kkzy000fvcu8tx8jwjmrRESIDENTIAL2BHKcmff8vjd4001dvxp7tq21djvfcmf53kl00000kvcu86ivy65di\"0\"\"2\"\"UNFURNISHED\"\"[]\"\"false\"\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-419924a4c5c28823.jpg\"\"456\"\"22222222\"\"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-7c8c73119cb2047b.jpg\"\"]\"\"nbhjg\"\"2025-09-11 10:07:26.152\"\"2025-09-11 10:07:26.152\"Babys school , Mumbai chembur , 411017
2cmfc6pq1k0001vca0ikzb258mRESIDENTIALSainath VrindavanSTANDALONEluxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861UNDER_CONSTRUCTION\"[\"\"[\\\"\"P51800049646\\\"\"]\"\"]\"cmf3zcoe80000vcf8sd4qfpwdcmf3ze56e0002vcf8e0hjqnswcmf50r5a00000vcj0k1iuocuucmf51ieam0001vcj0kljobiodcmf51ix980003vcj0z7abv17kcmfc6pq1n000cvca0gpdjstzfcmfc6pq1k0001vca0ikzb258mcmfc6pq1m0004vca0cdihsx99cmfc6pq1k0001vca0ikzb258mRESIDENTIAL1BHK1BHKcmfc6pq1m0005vca07z1oktrgcmfc6pq1m0004vca0cdihsx99\"1\"\"1\"\"UNFURNISHED\"\"[]\"\"false\"\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210633-ec5431f188d4de3c.jpg\"\"457.57\"\"12000000\"\"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210665-ab087e966ba018ff.jpg\"\"]\"\"na\"\"2025-09-09 06:43:37.112\"\"2025-09-09 06:43:37.112\"JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081
3cmfc6pq1k0001vca0ikzb258mRESIDENTIALSainath VrindavanSTANDALONEluxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861UNDER_CONSTRUCTION\"[\"\"[\\\"\"P51800049646\\\"\"]\"\"]\"cmf3zcoe80000vcf8sd4qfpwdcmf3ze56e0002vcf8e0hjqnswcmf50r5a00000vcj0k1iuocuucmf51ieam0001vcj0kljobiodcmf51ix980003vcj0z7abv17kcmfc6pq1n000cvca0gpdjstzfcmfc6pq1k0001vca0ikzb258mcmfc6pq1m0006vca04kqz1wspcmfc6pq1k0001vca0ikzb258mRESIDENTIAL2BHK2BHKcmfc6pq1m0007vca0wei4jsgscmfc6pq1m0006vca04kqz1wsp\"2\"\"2\"\"UNFURNISHED\"\"[]\"\"false\"\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210671-c54804f690eac296.jpg\"\"652.83\"\"17000000\"\"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210672-3f6998fafc9e8521.jpg\"\"]\"\"na\"\"2025-09-09 06:43:37.112\"\"2025-09-09 06:43:37.112\"JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081
4cmfc6pq1k0001vca0ikzb258mRESIDENTIALSainath VrindavanSTANDALONEluxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861UNDER_CONSTRUCTION\"[\"\"[\\\"\"P51800049646\\\"\"]\"\"]\"cmf3zcoe80000vcf8sd4qfpwdcmf3ze56e0002vcf8e0hjqnswcmf50r5a00000vcj0k1iuocuucmf51ieam0001vcj0kljobiodcmf51ix980003vcj0z7abv17kcmfc6pq1n000cvca0gpdjstzfcmfc6pq1k0001vca0ikzb258mcmfc6pq1m0006vca04kqz1wspcmfc6pq1k0001vca0ikzb258mRESIDENTIAL2BHK2BHKcmfc6pq1m0008vca0hsbdneqccmfc6pq1m0006vca04kqz1wsp\"2\"\"2\"\"UNFURNISHED\"\"[]\"\"false\"\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210675-be2512dbfae0b3f7.jpg\"\"728.5\"\"19000000\"\"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210678-f61b2d8c4b4a4a50.jpg\"\"]\"\"na\"\"2025-09-09 06:43:37.112\"\"2025-09-09 06:43:37.112\"JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe" } }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "print(final_merged_df.columns)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "RzzckI_CTlxj", "outputId": "bdef05d2-e06f-4dac-c61f-b71253ab4cc5" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Index(['id_x', 'projectType', 'projectName', 'projectCategory', 'slug',\n", " 'slugId', 'status', 'projectAge', 'reraId', 'countryId', 'stateId',\n", " 'cityId', 'localityId', 'subLocalityId', 'projectSummary',\n", " 'possessionDate', 'id_y', 'projectId_x', 'id_config', 'projectId_y',\n", " 'propertyCategory', 'type', 'customBHK', 'id_conf_var',\n", " 'configurationId', 'bathrooms', 'privateBathrooms', 'publicBathrooms',\n", " 'balcony', 'furnishedType', 'furnishingType', 'lift', 'ageOfProperty',\n", " 'parkingType', 'listingType', 'floorPlanImage', 'carpetArea', 'price',\n", " 'propertyImages', 'maintenanceCharges', 'aboutProperty', 'createdAt',\n", " 'updatedAt', 'Address info'],\n", " dtype='object')\n" ] } ] }, { "cell_type": "code", "source": [ "# Get the list of columns to drop that are actually in the DataFrame\n", "columns_to_drop = ['id_x','slugId', 'reraId','countryId', 'stateId','cityId', 'localityId', 'subLocalityId','id_y', 'projectId_x', 'id_config', 'projectId_y','id_conf_var','configurationId']\n", "existing_columns_to_drop = [col for col in columns_to_drop if col in final_merged_df.columns]\n", "\n", "# Drop the columns that exist\n", "final_merged_df = final_merged_df.drop(columns=existing_columns_to_drop)" ], "metadata": { "id": "aSssuLGsSyG8" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "03e547bb", "outputId": "bff5ce77-ff9b-4108-f32b-e7094b670c06" }, "source": [ "print(\"Shape of the final merged dataframe:\", final_merged_df.shape)" ], "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Shape of the final merged dataframe: (14, 30)\n" ] } ] }, { "cell_type": "code", "source": [ "print(final_merged_df.columns)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "J0k6sYV9Oe3g", "outputId": "fe8dabff-4fe9-43d5-995d-000413804af6" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Index(['projectType', 'projectName', 'projectCategory', 'slug', 'status',\n", " 'projectAge', 'projectSummary', 'possessionDate', 'propertyCategory',\n", " 'type', 'customBHK', 'bathrooms', 'privateBathrooms', 'publicBathrooms',\n", " 'balcony', 'furnishedType', 'furnishingType', 'lift', 'ageOfProperty',\n", " 'parkingType', 'listingType', 'floorPlanImage', 'carpetArea',\n", " 'propertyImages', 'maintenanceCharges', 'aboutProperty', 'createdAt',\n", " 'updatedAt', 'Address info', 'price_in_cr'],\n", " dtype='object')\n" ] } ] }, { "cell_type": "code", "source": [ "final_merged_df.head(5)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "id": "q5GHnU8WYYfy", "outputId": "14f199e1-a9c6-4bbf-de9d-31cd4c6fced9" }, "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " projectType projectName projectCategory \\\n", "0 RESIDENTIAL Ashwini STANDALONE \n", "1 RESIDENTIAL Ashwini STANDALONE \n", "2 RESIDENTIAL Sainath Vrindavan STANDALONE \n", "3 RESIDENTIAL Sainath Vrindavan STANDALONE \n", "4 RESIDENTIAL Sainath Vrindavan STANDALONE \n", "\n", " slug \\\n", "0 luxury-ashwini-ashoknagar-chembur-mumbai-675058 \n", "1 luxury-ashwini-ashoknagar-chembur-mumbai-675058 \n", "2 luxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861 \n", "3 luxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861 \n", "4 luxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861 \n", "\n", " status projectAge \\\n", "0 UNDER_CONSTRUCTION \n", "1 UNDER_CONSTRUCTION \n", "2 UNDER_CONSTRUCTION \n", "3 UNDER_CONSTRUCTION \n", "4 UNDER_CONSTRUCTION \n", "\n", " projectSummary \\\n", "0 \n", "1 \n", "2 \n", "3 \n", "4 \n", "\n", " possessionDate propertyCategory type customBHK \\\n", "0 2025-09-28 00:00:00 RESIDENTIAL 1BHK \n", "1 2025-09-28 00:00:00 RESIDENTIAL 2BHK \n", "2 RESIDENTIAL 1BHK 1BHK \n", "3 RESIDENTIAL 2BHK 2BHK \n", "4 RESIDENTIAL 2BHK 2BHK \n", "\n", " bathrooms privateBathrooms publicBathrooms balcony \\\n", "0 \"1\" \"1\" \n", "1 \"0\" \"2\" \n", "2 \"1\" \"1\" \n", "3 \"2\" \"2\" \n", "4 \"2\" \"2\" \n", "\n", " furnishedType \\\n", "0 \"UNFURNISHED\" \n", "1 \"UNFURNISHED\" \n", "2 \"UNFURNISHED\" \n", "3 \"UNFURNISHED\" \n", "4 \"UNFURNISHED\" \n", "\n", " furnishingType \\\n", "0 \"[]\" \n", "1 \"[]\" \n", "2 \"[]\" \n", "3 \"[]\" \n", "4 \"[]\" \n", "\n", " lift ageOfProperty parkingType listingType \\\n", "0 \"false\" \"Sell\" \n", "1 \"false\" \"Sell\" \n", "2 \"false\" \"Sell\" \n", "3 \"false\" \"Sell\" \n", "4 \"false\" \"Sell\" \n", "\n", " floorPlanImage \\\n", "0 \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757584023815-67012c27580e3e23.jpg\" \n", "1 \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-419924a4c5c28823.jpg\" \n", "2 \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210633-ec5431f188d4de3c.jpg\" \n", "3 \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210671-c54804f690eac296.jpg\" \n", "4 \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210675-be2512dbfae0b3f7.jpg\" \n", "\n", " carpetArea price \\\n", "0 \"123\" \"11111111\" \n", "1 \"456\" \"22222222\" \n", "2 \"457.57\" \"12000000\" \n", "3 \"652.83\" \"17000000\" \n", "4 \"728.5\" \"19000000\" \n", "\n", " propertyImages \\\n", "0 \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-1e5179453b5df91d.jpg\"\"]\" \n", "1 \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-7c8c73119cb2047b.jpg\"\"]\" \n", "2 \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210665-ab087e966ba018ff.jpg\"\"]\" \n", "3 \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210672-3f6998fafc9e8521.jpg\"\"]\" \n", "4 \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210678-f61b2d8c4b4a4a50.jpg\"\"]\" \n", "\n", " maintenanceCharges aboutProperty \\\n", "0 \"jjhhhu\" \n", "1 \"nbhjg\" \n", "2 \"na\" \n", "3 \"na\" \n", "4 \"na\" \n", "\n", " createdAt updatedAt \\\n", "0 \"2025-09-11 10:07:21.386\" \"2025-09-11 10:07:21.386\" \n", "1 \"2025-09-11 10:07:26.152\" \"2025-09-11 10:07:26.152\" \n", "2 \"2025-09-09 06:43:37.112\" \"2025-09-09 06:43:37.112\" \n", "3 \"2025-09-09 06:43:37.112\" \"2025-09-09 06:43:37.112\" \n", "4 \"2025-09-09 06:43:37.112\" \"2025-09-09 06:43:37.112\" \n", "\n", " Address info \n", "0 Babys school , Mumbai chembur , 411017 \n", "1 Babys school , Mumbai chembur , 411017 \n", "2 JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081 \n", "3 JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081 \n", "4 JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081 " ], "text/html": [ "\n", "
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projectTypeprojectNameprojectCategoryslugstatusprojectAgeprojectSummarypossessionDatepropertyCategorytypecustomBHKbathroomsprivateBathroomspublicBathroomsbalconyfurnishedTypefurnishingTypeliftageOfPropertyparkingTypelistingTypefloorPlanImagecarpetAreapricepropertyImagesmaintenanceChargesaboutPropertycreatedAtupdatedAtAddress info
0RESIDENTIALAshwiniSTANDALONEluxury-ashwini-ashoknagar-chembur-mumbai-675058UNDER_CONSTRUCTION2025-09-28 00:00:00RESIDENTIAL1BHK\"1\"\"1\"\"UNFURNISHED\"\"[]\"\"false\"\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757584023815-67012c27580e3e23.jpg\"\"123\"\"11111111\"\"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-1e5179453b5df91d.jpg\"\"]\"\"jjhhhu\"\"2025-09-11 10:07:21.386\"\"2025-09-11 10:07:21.386\"Babys school , Mumbai chembur , 411017
1RESIDENTIALAshwiniSTANDALONEluxury-ashwini-ashoknagar-chembur-mumbai-675058UNDER_CONSTRUCTION2025-09-28 00:00:00RESIDENTIAL2BHK\"0\"\"2\"\"UNFURNISHED\"\"[]\"\"false\"\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-419924a4c5c28823.jpg\"\"456\"\"22222222\"\"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-7c8c73119cb2047b.jpg\"\"]\"\"nbhjg\"\"2025-09-11 10:07:26.152\"\"2025-09-11 10:07:26.152\"Babys school , Mumbai chembur , 411017
2RESIDENTIALSainath VrindavanSTANDALONEluxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861UNDER_CONSTRUCTIONRESIDENTIAL1BHK1BHK\"1\"\"1\"\"UNFURNISHED\"\"[]\"\"false\"\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210633-ec5431f188d4de3c.jpg\"\"457.57\"\"12000000\"\"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210665-ab087e966ba018ff.jpg\"\"]\"\"na\"\"2025-09-09 06:43:37.112\"\"2025-09-09 06:43:37.112\"JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081
3RESIDENTIALSainath VrindavanSTANDALONEluxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861UNDER_CONSTRUCTIONRESIDENTIAL2BHK2BHK\"2\"\"2\"\"UNFURNISHED\"\"[]\"\"false\"\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210671-c54804f690eac296.jpg\"\"652.83\"\"17000000\"\"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210672-3f6998fafc9e8521.jpg\"\"]\"\"na\"\"2025-09-09 06:43:37.112\"\"2025-09-09 06:43:37.112\"JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081
4RESIDENTIALSainath VrindavanSTANDALONEluxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861UNDER_CONSTRUCTIONRESIDENTIAL2BHK2BHK\"2\"\"2\"\"UNFURNISHED\"\"[]\"\"false\"\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210675-be2512dbfae0b3f7.jpg\"\"728.5\"\"19000000\"\"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210678-f61b2d8c4b4a4a50.jpg\"\"]\"\"na\"\"2025-09-09 06:43:37.112\"\"2025-09-09 06:43:37.112\"JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "final_merged_df" } }, "metadata": {}, "execution_count": 147 } ] }, { "cell_type": "code", "source": [], "metadata": { "id": "BV54SW0pYYDg" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "final_merged_df.to_csv('final_merged_data_3rd.csv', index=False)" ], "metadata": { "id": "G83ME40UMoRp" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [], "metadata": { "id": "yXP0EgJRNH2B" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "project_df = pd.read_csv('/content/project.csv', sep=',', on_bad_lines='skip')\n" ], "metadata": { "id": "EK7us1E4rJyC" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "project_address_df = pd.read_csv('/content/ProjectAddress.csv', sep=',', on_bad_lines='skip')\n" ], "metadata": { "id": "8gs2Yw7-riab" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "project_configuration_df = pd.read_csv('/content/ProjectConfiguration.csv', sep=',', on_bad_lines='skip')\n" ], "metadata": { "id": "5UpoT-1lryzB" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "project_conf_var_df = pd.read_csv('/content/ProjectConfigurationVariant.csv', sep=',', on_bad_lines='skip')\n" ], "metadata": { "id": "A4Eg8yBfr0wD" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "4ce265bb" }, "source": [ "# Task\n", "Merge the four dataframes `project_df`, `project_address_df`, `project_configuration_df`, and `project_conf_var_df` using full outer joins to ensure no data is lost. After merging, preprocess the data and save the final result to a new CSV file." ] }, { "cell_type": "markdown", "metadata": { "id": "6fc53745" }, "source": [ "## Inspect dataframes\n", "\n", "### Subtask:\n", "Review the columns of all four dataframes to identify the correct join keys and prepare for merging.\n" ] }, { "cell_type": "markdown", "metadata": { "id": "6fb7ddf2" }, "source": [ "**Reasoning**:\n", "Print the column names of all four dataframes to identify the join keys.\n", "\n" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "aba1f602", "outputId": "59c0baa4-a295-4365-f2c1-5c90560655ee" }, "source": [ "print(\"Columns of project_df:\")\n", "print(project_df.columns)\n", "print(\"\\nColumns of project_address_df:\")\n", "print(project_address_df.columns)\n", "print(\"\\nColumns of project_configuration_df:\")\n", "print(project_configuration_df.columns)\n", "print(\"\\nColumns of project_conf_var_df:\")\n", "print(project_conf_var_df.columns)" ], "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Columns of project_df:\n", "Index(['id ', ' projectType',\n", " ' projectName ', ' projectCategory',\n", " ' slug ', ' slugId',\n", " ' status ', ' projectAge',\n", " ' reraId ',\n", " ' countryId ', ' stateId ',\n", " ' cityId ', ' localityId ',\n", " ' subLocalityId ',\n", " ' projectSummary ',\n", " ' possessionDate'],\n", " dtype='object')\n", "\n", "Columns of project_address_df:\n", "Index(['id ', ' projectId ',\n", " ' landmark ',\n", " ' fullAddress ',\n", " ' pincode'],\n", " dtype='object')\n", "\n", "Columns of project_configuration_df:\n", "Index(['id ', ' projectId ',\n", " ' propertyCategory', ' type ', ' customBHK'],\n", " dtype='object')\n", "\n", "Columns of project_conf_var_df:\n", "Index(['id ', ' \"configurationId\" ',\n", " ' \"bathrooms\"', ' \"privateBathrooms\"', ' \"publicBathrooms\"',\n", " ' \"balcony\"', ' \"furnishedType\" ',\n", " ' \"furnishingType\" ',\n", " ' \"lift\" ', ' \"ageOfProperty\"', ' \"parkingType\"', ' \"listingType\"',\n", " ' \"floorPlanImage\" ',\n", " ' \"carpetArea\"', ' \"price\" ',\n", " ' \"propertyImages\" ',\n", " ' \"maintenanceCharges\"', ' \"aboutProperty\" ',\n", " ' \"createdAt\" ', ' \"updatedAt\"'],\n", " dtype='object')\n" ] } ] }, { "cell_type": "markdown", "metadata": { "id": "40ec7110" }, "source": [ "**Reasoning**:\n", "Based on the column names, it appears that 'id' in `project_df` matches 'projectId' in `project_address_df` and `project_configuration_df`, and 'id' in `project_configuration_df` matches '\"configurationId\"' in `project_conf_var_df`. Before merging, I will clean the column names by removing leading/trailing spaces and quotes.\n", "\n" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "72632e53", "outputId": "1529835d-6eef-4272-d892-d28016195588" }, "source": [ "project_df.columns = project_df.columns.str.strip()\n", "project_address_df.columns = project_address_df.columns.str.strip()\n", "project_configuration_df.columns = project_configuration_df.columns.str.strip()\n", "project_conf_var_df.columns = project_conf_var_df.columns.str.strip().str.replace('\"', '')\n", "\n", "print(\"Cleaned columns of project_df:\")\n", "print(project_df.columns)\n", "print(\"\\nCleaned columns of project_address_df:\")\n", "print(project_address_df.columns)\n", "print(\"\\nCleaned columns of project_configuration_df:\")\n", "print(project_configuration_df.columns)\n", "print(\"\\nCleaned columns of project_conf_var_df:\")\n", "print(project_conf_var_df.columns)" ], "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Cleaned columns of project_df:\n", "Index(['id', 'projectType', 'projectName', 'projectCategory', 'slug', 'slugId',\n", " 'status', 'projectAge', 'reraId', 'countryId', 'stateId', 'cityId',\n", " 'localityId', 'subLocalityId', 'projectSummary', 'possessionDate'],\n", " dtype='object')\n", "\n", "Cleaned columns of project_address_df:\n", "Index(['id', 'projectId', 'landmark', 'fullAddress', 'pincode'], dtype='object')\n", "\n", "Cleaned columns of project_configuration_df:\n", "Index(['id', 'projectId', 'propertyCategory', 'type', 'customBHK'], dtype='object')\n", "\n", "Cleaned columns of project_conf_var_df:\n", "Index(['id', 'configurationId', 'bathrooms', 'privateBathrooms',\n", " 'publicBathrooms', 'balcony', 'furnishedType', 'furnishingType', 'lift',\n", " 'ageOfProperty', 'parkingType', 'listingType', 'floorPlanImage',\n", " 'carpetArea', 'price', 'propertyImages', 'maintenanceCharges',\n", " 'aboutProperty', 'createdAt', 'updatedAt'],\n", " dtype='object')\n" ] } ] }, { "cell_type": "markdown", "metadata": { "id": "836fbb0c" }, "source": [ "## Perform the first outer merge\n", "\n", "### Subtask:\n", "Merge the first two dataframes (`project_df` and `project_address_df`) using a full outer join on the appropriate key columns, handling potential duplicate column names with suffixes.\n" ] }, { "cell_type": "markdown", "metadata": { "id": "dc08b1bf" }, "source": [ "**Reasoning**:\n", "Perform a full outer merge of project_df and project_address_df on the specified key columns and display the head of the resulting dataframe.\n", "\n" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 533 }, "id": "60f83dff", "outputId": "b3dc0337-1580-4749-b843-6b2be7546a2b" }, "source": [ "merged_project_address_df = pd.merge(project_df, project_address_df, left_on='id', right_on='projectId', how='outer', suffixes=('_project', '_address'))\n", "display(merged_project_address_df.head())" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " id_project projectType projectName projectCategory slug slugId status \\\n", "0 NaN NaN NaN NaN NaN NaN NaN \n", "1 NaN NaN NaN NaN NaN NaN NaN \n", "2 NaN NaN NaN NaN NaN NaN NaN \n", "3 NaN NaN NaN NaN NaN NaN NaN \n", "4 NaN NaN NaN NaN NaN NaN NaN \n", "\n", " projectAge reraId countryId ... cityId localityId subLocalityId \\\n", "0 NaN NaN NaN ... NaN NaN NaN \n", "1 NaN NaN NaN ... NaN NaN NaN \n", "2 NaN NaN NaN ... NaN NaN NaN \n", "3 NaN NaN NaN ... NaN NaN NaN \n", "4 NaN NaN NaN ... NaN NaN NaN \n", "\n", " projectSummary possessionDate id_address \\\n", "0 NaN NaN cmf53kl01000nvcu8ibut7fka \n", "1 NaN NaN cmfc6pq1n000cvca0gpdjstzf \n", "2 NaN NaN cmfc79ip8001lvca0o1ls6fuz \n", "3 NaN NaN cmfcccifw004vvca0mvtcgxos \n", "4 NaN NaN cmff8swbn0007vxp7bhj7cmqv \n", "\n", " projectId landmark \\\n", "0 cmf53kkzy000fvcu8tx8jwjmr Babys school \n", "1 cmfc6pq1k0001vca0ikzb258m JBCN International School Mulund \n", "2 cmfc79ip5001cvca0qht6o44p JBCN International School Parel \n", "3 cmfcccifs004nvca0b7im3r5a Lodha Xperia Mall \n", "4 cmff8swbm0001vxp7pe3neibi sdfgb \n", "\n", " fullAddress pincode \n", "0 Mumbai chembur ... 411017.0 \n", "1 Prataprao Gujar Rd Neelam Nagar Mulund East M... 400081.0 \n", "2 AVENUE 15 Ramesh Barrel Supplying Company K.T... 400015.0 \n", "3 64C5+C63 Dombivli East Dombivli Maharashtra 4... 421201.0 \n", "4 asdfgh ... 123456.0 \n", "\n", "[5 rows x 21 columns]" ], "text/html": [ "\n", "
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id_projectprojectTypeprojectNameprojectCategoryslugslugIdstatusprojectAgereraIdcountryId...cityIdlocalityIdsubLocalityIdprojectSummarypossessionDateid_addressprojectIdlandmarkfullAddresspincode
0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNcmf53kl01000nvcu8ibut7fkacmf53kkzy000fvcu8tx8jwjmrBabys schoolMumbai chembur ...411017.0
1NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNcmfc6pq1n000cvca0gpdjstzfcmfc6pq1k0001vca0ikzb258mJBCN International School MulundPrataprao Gujar Rd Neelam Nagar Mulund East M...400081.0
2NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNcmfc79ip8001lvca0o1ls6fuzcmfc79ip5001cvca0qht6o44pJBCN International School ParelAVENUE 15 Ramesh Barrel Supplying Company K.T...400015.0
3NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNcmfcccifw004vvca0mvtcgxoscmfcccifs004nvca0b7im3r5aLodha Xperia Mall64C5+C63 Dombivli East Dombivli Maharashtra 4...421201.0
4NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNcmff8swbn0007vxp7bhj7cmqvcmff8swbm0001vxp7pe3neibisdfgbasdfgh ...123456.0
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe" } }, "metadata": {} } ] }, { "cell_type": "markdown", "metadata": { "id": "f14eafcf" }, "source": [ "**Reasoning**:\n", "The previous merge resulted in many NaN values at the beginning, indicating that the `project_df` dataframe might have some rows that don't have corresponding entries in the `project_address_df`. Display the tail of the merged dataframe to see if the rows from `project_df` are present there.\n", "\n" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 550 }, "id": "ab7779bc", "outputId": "1eff3e2c-2d4d-4c38-fe05-60064e5763f7" }, "source": [ "display(merged_project_address_df.tail())" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " id_project projectType \\\n", "27 cmfdyb2yc006rvc900owycgrv RESIDENTIAL \n", "28 cmfdz9fvx0088vc90pw26eyr8 RESIDENTIAL \n", "29 cmfe01l6h009gvc90y1zazr09 RESIDENTIAL \n", "30 cmff8swbm0001vxp7pe3neibi RESIDENTIAL \n", "31 cmfxtgtbw0009vxov4t5onh7d RESIDENTIAL \n", "\n", " projectName projectCategory \\\n", "27 Sonai Clara STANDALONE \n", "28 Santiago Skytown STANDALONE \n", "29 The silver altair STANDALONE \n", "30 testing STANDALONE \n", "31 testring999 COMPLEX \n", "\n", " slug slugId \\\n", "27 sonai-clara-brtlinkrd-ravet-pune-029297 ... \n", "28 santiago-skytown-vikasnagar-ravet-pune-632333... \n", "29 the-silver-altair--pcmc-ravet-pune-945470 ... \n", "30 testing-modelcolony-shivajinagar-pune-301013 ... \n", "31 testring999-somwarpeth-camp-pune-222053 ... \n", "\n", " status projectAge \\\n", "27 UNDER_CONSTRUCTION \n", "28 UNDER_CONSTRUCTION \n", "29 UNDER_CONSTRUCTION \n", "30 READY_TO_MOVE 11.0 \n", "31 UNDER_CONSTRUCTION \n", "\n", " reraId \\\n", "27 \"[\"\"[\\\"\"P52100080205\\\"\"]\"\"]\" \n", "28 \"[\"\"[\\\"\"P52100077942\\\"\"]\"\"]\" \n", "29 \"[\"\"[\\\"\"P52100035075\\\"\"]\"\"]\" \n", "30 \"[\"\"123456789\"\"]\" \n", "31 \"[\"\"[\\\"\"asdfghjkl\\\"\"]\"\"]\" \n", "\n", " countryId ... cityId \\\n", "27 cmf3zcoe80000vcf8sd4qfpwd ... cmf6nu3ru000gvcxspxarll3v \n", "28 cmf3zcoe80000vcf8sd4qfpwd ... cmf6nu3ru000gvcxspxarll3v \n", "29 cmf3zcoe80000vcf8sd4qfpwd ... cmf6nu3ru000gvcxspxarll3v \n", "30 cmf3zcoe80000vcf8sd4qfpwd ... cmf6nu3ru000gvcxspxarll3v \n", "31 cmfw6qdtd0000vx6uelma0klf ... cmf6nu3ru000gvcxspxarll3v \n", "\n", " localityId subLocalityId \\\n", "27 cmf6qgr4u004fvcxswao9nc4r cmfdxt4wr006pvc90zvflron5 \n", "28 cmf6qgr4u004fvcxswao9nc4r cmfdyubxb0086vc90glhoi1tr \n", "29 cmf6qgr4u004fvcxswao9nc4r cmfdzm7gn009evc907tntxrwq \n", "30 cmf6pk0cn0033vcxshxbf5hdh cmfdn705v001pvc90uyle9m34 \n", "31 cmf6pksk30035vcxs7r2mo3iq cmfdkuymm0001vc90iiyzkr8d \n", "\n", " projectSummary possessionDate \\\n", "27 ... \n", "28 ... \n", "29 ... \n", "30 sdfghjhgfdfghjgfdfghgfgh ... \n", "31 dsgfhjk ... 2025-09-25 00:00:00 \n", "\n", " id_address projectId landmark fullAddress pincode \n", "27 NaN NaN NaN NaN NaN \n", "28 NaN NaN NaN NaN NaN \n", "29 NaN NaN NaN NaN NaN \n", "30 NaN NaN NaN NaN NaN \n", "31 NaN NaN NaN NaN NaN \n", "\n", "[5 rows x 21 columns]" ], "text/html": [ "\n", "
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27cmfdyb2yc006rvc900owycgrvRESIDENTIALSonai ClaraSTANDALONEsonai-clara-brtlinkrd-ravet-pune-029297 ...UNDER_CONSTRUCTION\"[\"\"[\\\"\"P52100080205\\\"\"]\"\"]\"cmf3zcoe80000vcf8sd4qfpwd...cmf6nu3ru000gvcxspxarll3vcmf6qgr4u004fvcxswao9nc4rcmfdxt4wr006pvc90zvflron5...NaNNaNNaNNaNNaN
28cmfdz9fvx0088vc90pw26eyr8RESIDENTIALSantiago SkytownSTANDALONEsantiago-skytown-vikasnagar-ravet-pune-632333...UNDER_CONSTRUCTION\"[\"\"[\\\"\"P52100077942\\\"\"]\"\"]\"cmf3zcoe80000vcf8sd4qfpwd...cmf6nu3ru000gvcxspxarll3vcmf6qgr4u004fvcxswao9nc4rcmfdyubxb0086vc90glhoi1tr...NaNNaNNaNNaNNaN
29cmfe01l6h009gvc90y1zazr09RESIDENTIALThe silver altairSTANDALONEthe-silver-altair--pcmc-ravet-pune-945470 ...UNDER_CONSTRUCTION\"[\"\"[\\\"\"P52100035075\\\"\"]\"\"]\"cmf3zcoe80000vcf8sd4qfpwd...cmf6nu3ru000gvcxspxarll3vcmf6qgr4u004fvcxswao9nc4rcmfdzm7gn009evc907tntxrwq...NaNNaNNaNNaNNaN
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31cmfxtgtbw0009vxov4t5onh7dRESIDENTIALtestring999COMPLEXtestring999-somwarpeth-camp-pune-222053 ...UNDER_CONSTRUCTION\"[\"\"[\\\"\"asdfghjkl\\\"\"]\"\"]\"cmfw6qdtd0000vx6uelma0klf...cmf6nu3ru000gvcxspxarll3vcmf6pksk30035vcxs7r2mo3iqcmfdkuymm0001vc90iiyzkr8ddsgfhjk ...2025-09-25 00:00:00NaNNaNNaNNaNNaN
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe" } }, "metadata": {} } ] }, { "cell_type": "markdown", "metadata": { "id": "2c1e8415" }, "source": [ "## Perform the second outer merge\n", "\n", "### Subtask:\n", "Merge the result of the first merge (`merged_project_address_df`) with the third dataframe (`project_configuration_df`) using a full outer join on the appropriate key columns, handling potential duplicate column names with suffixes.\n" ] }, { "cell_type": "markdown", "metadata": { "id": "69512cf4" }, "source": [ "**Reasoning**:\n", "Perform a full outer merge of merged_project_address_df and project_configuration_df on the specified keys and display the head of the resulting dataframe.\n", "\n" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 255 }, "id": "9f86b5c3", "outputId": "a6533bac-76bf-4453-c06a-d026e03be04c" }, "source": [ "merged_with_config_df = pd.merge(merged_project_address_df, project_configuration_df, left_on='id_project', right_on='projectId', how='outer', suffixes=('_merged', '_config'))\n", "display(merged_with_config_df.head())" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " id_project projectType projectName projectCategory slug slugId status \\\n", "0 NaN NaN NaN NaN NaN NaN NaN \n", "1 NaN NaN NaN NaN NaN NaN NaN \n", "2 NaN NaN NaN NaN NaN NaN NaN \n", "3 NaN NaN NaN NaN NaN NaN NaN \n", "4 NaN NaN NaN NaN NaN NaN NaN \n", "\n", " projectAge reraId countryId ... id_address projectId_merged landmark \\\n", "0 NaN NaN NaN ... NaN NaN NaN \n", "1 NaN NaN NaN ... NaN NaN NaN \n", "2 NaN NaN NaN ... NaN NaN NaN \n", "3 NaN NaN NaN ... NaN NaN NaN \n", "4 NaN NaN NaN ... NaN NaN NaN \n", "\n", " fullAddress pincode id projectId_config \\\n", "0 NaN NaN cmf53kkzz000ivcu89r5399s4 cmf53kkzy000fvcu8tx8jwjmr \n", "1 NaN NaN cmf53kl00000kvcu86ivy65di cmf53kkzy000fvcu8tx8jwjmr \n", "2 NaN NaN cmf5r6hv20004vxpt0l657blu cmf5r6hv00001vxptnfichhfl \n", "3 NaN NaN cmfawdrnq000avc18qcvaxzi9 cmfawdrno0007vc18l0fm0z2j \n", "4 NaN NaN cmfawdrnr000dvc188hupv4yy cmfawdrno0007vc18l0fm0z2j \n", "\n", " propertyCategory type customBHK \n", "0 RESIDENTIAL 1BHK \n", "1 RESIDENTIAL 2BHK \n", "2 RESIDENTIAL 2BHK 2BHK \n", "3 RESIDENTIAL 1BHK 1BHK \n", "4 RESIDENTIAL 3BHK 3BHK \n", "\n", "[5 rows x 26 columns]" ], "text/html": [ "\n", "
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id_projectprojectTypeprojectNameprojectCategoryslugslugIdstatusprojectAgereraIdcountryId...id_addressprojectId_mergedlandmarkfullAddresspincodeidprojectId_configpropertyCategorytypecustomBHK
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1NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNcmf53kl00000kvcu86ivy65dicmf53kkzy000fvcu8tx8jwjmrRESIDENTIAL2BHK
2NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNcmf5r6hv20004vxpt0l657blucmf5r6hv00001vxptnfichhflRESIDENTIAL2BHK2BHK
3NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNcmfawdrnq000avc18qcvaxzi9cmfawdrno0007vc18l0fm0z2jRESIDENTIAL1BHK1BHK
4NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNcmfawdrnr000dvc188hupv4yycmfawdrno0007vc18l0fm0z2jRESIDENTIAL3BHK3BHK
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe" } }, "metadata": {} } ] }, { "cell_type": "markdown", "metadata": { "id": "ccd34104" }, "source": [ "**Reasoning**:\n", "Display the tail of the merged dataframe to further inspect the result of the full outer merge.\n", "\n" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 273 }, "id": "ed6787cd", "outputId": "e6fc678c-76f5-42cd-dc05-8ce6430cb7f3" }, "source": [ "display(merged_with_config_df.tail())" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " id_project projectType projectName projectCategory slug slugId status \\\n", "87 NaN NaN NaN NaN NaN NaN NaN \n", "88 NaN NaN NaN NaN NaN NaN NaN \n", "89 NaN NaN NaN NaN NaN NaN NaN \n", "90 NaN NaN NaN NaN NaN NaN NaN \n", "91 NaN NaN NaN NaN NaN NaN NaN \n", "\n", " projectAge reraId countryId ... id_address \\\n", "87 NaN NaN NaN ... cmff8swbn0007vxp7bhj7cmqv \n", "88 NaN NaN NaN ... cmftjwws90009vx552vtbze6k \n", "89 NaN NaN NaN ... cmfw5ivre0009vxnkmzexw3zd \n", "90 NaN NaN NaN ... cmfwd3782000evxgxgjz4wuum \n", "91 NaN NaN NaN ... cmfxtgtbz000fvxov0zosuc1d \n", "\n", " projectId_merged landmark \\\n", "87 cmff8swbm0001vxp7pe3neibi sdfgb \n", "88 cmftjwws60001vx55r0q7797l LANDMARK \n", "89 cmfw5ivra0001vxnkbozvz8bd sedrftgyhuj \n", "90 cmfwd377z0008vxgxd9nju858 landmark \n", "91 cmfxtgtbw0009vxov4t5onh7d esrdfghbj \n", "\n", " fullAddress pincode id \\\n", "87 asdfgh ... 123456.0 NaN \n", "88 ADDRESS ... 123456.0 NaN \n", "89 awsedrftgyhujk ... 123456.0 NaN \n", "90 address ... 828123.0 NaN \n", "91 sdfghj ... 123456.0 NaN \n", "\n", " projectId_config propertyCategory type customBHK \n", "87 NaN NaN NaN NaN \n", "88 NaN NaN NaN NaN \n", "89 NaN NaN NaN NaN \n", "90 NaN NaN NaN NaN \n", "91 NaN NaN NaN NaN \n", "\n", "[5 rows x 26 columns]" ], "text/html": [ "\n", "
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88NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...cmftjwws90009vx552vtbze6kcmftjwws60001vx55r0q7797lLANDMARKADDRESS ...123456.0NaNNaNNaNNaNNaN
89NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...cmfw5ivre0009vxnkmzexw3zdcmfw5ivra0001vxnkbozvz8bdsedrftgyhujawsedrftgyhujk ...123456.0NaNNaNNaNNaNNaN
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91NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...cmfxtgtbz000fvxov0zosuc1dcmfxtgtbw0009vxov4t5onh7desrdfghbjsdfghj ...123456.0NaNNaNNaNNaNNaN
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe" } }, "metadata": {} } ] }, { "cell_type": "markdown", "metadata": { "id": "49281965" }, "source": [ "## Perform the third outer merge\n", "\n", "### Subtask:\n", "Merge the result of the second merge (`merged_with_config_df`) with the fourth dataframe (`project_conf_var_df`) using a full outer join on the appropriate key columns, handling potential duplicate column names with suffixes.\n" ] }, { "cell_type": "markdown", "metadata": { "id": "2a254cfe" }, "source": [ "**Reasoning**:\n", "Merge the two dataframes using a full outer join on the specified key columns, apply suffixes, store the result, and display the head.\n", "\n" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 342 }, "id": "be2793cd", "outputId": "7ac01d47-2c00-45c4-c20c-b9362bb1eb24" }, "source": [ "final_merged_df = pd.merge(merged_with_config_df, project_conf_var_df, left_on='id', right_on='configurationId', how='outer', suffixes=('_config_merged', '_conf_var'))\n", "display(final_merged_df.head())" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " id_project projectType projectName projectCategory slug slugId status \\\n", "0 NaN NaN NaN NaN NaN NaN NaN \n", "1 NaN NaN NaN NaN NaN NaN NaN \n", "2 NaN NaN NaN NaN NaN NaN NaN \n", "3 NaN NaN NaN NaN NaN NaN NaN \n", "4 NaN NaN NaN NaN NaN NaN NaN \n", "\n", " projectAge reraId countryId ... parkingType listingType \\\n", "0 NaN NaN NaN ... \"Sell\" \n", "1 NaN NaN NaN ... \"Sell\" \n", "2 NaN NaN NaN ... \"Sell\" \n", "3 NaN NaN NaN ... \"Sell\" \n", "4 NaN NaN NaN ... \"Sell\" \n", "\n", " floorPlanImage carpetArea \\\n", "0 \"https://pub-d28896f69c604ec5aa743cb0397740d9... \"123\" \n", "1 \"https://pub-d28896f69c604ec5aa743cb0397740d9... \"456\" \n", "2 \"https://pub-d28896f69c604ec5aa743cb0397740d9... \"972\" \n", "3 \"https://pub-d28896f69c604ec5aa743cb0397740d9... \"188.73\" \n", "4 \"https://pub-d28896f69c604ec5aa743cb0397740d9... \"426.57\" \n", "\n", " price propertyImages \\\n", "0 \"11111111\" \"[\"\"https://pub-d28896f69c604ec5aa743cb039774... \n", "1 \"22222222\" \"[\"\"https://pub-d28896f69c604ec5aa743cb039774... \n", "2 \"120000000\" \"[\"\"https://pub-d28896f69c604ec5aa743cb039774... \n", "3 \"210000000\" \"[\"\"https://pub-d28896f69c604ec5aa743cb039774... \n", "4 \"13000000\" \"[\"\"https://pub-d28896f69c604ec5aa743cb039774... \n", "\n", " maintenanceCharges aboutProperty \\\n", "0 \"jjhhhu\" \n", "1 \"nbhjg\" \n", "2 \"faded \" \"about property \" \n", "3 \"fsdaffdsafsfdddsa\" \n", "4 \"na\" \n", "\n", " createdAt updatedAt \n", "0 \"2025-09-11 10:07:21.386\" \"2025-09-11 10:07:21.386\" \n", "1 \"2025-09-11 10:07:26.152\" \"2025-09-11 10:07:26.152\" \n", "2 \"2025-09-04 18:42:08.748\" \"2025-09-04 18:42:08.748\" \n", "3 \"2025-09-04 18:42:08.748\" \"2025-09-04 18:42:08.748\" \n", "4 \"2025-09-08 09:06:36.995\" \"2025-09-08 09:06:36.995\" \n", "\n", "[5 rows x 46 columns]" ], "text/html": [ "\n", "
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id_projectprojectTypeprojectNameprojectCategoryslugslugIdstatusprojectAgereraIdcountryId...parkingTypelistingTypefloorPlanImagecarpetAreapricepropertyImagesmaintenanceChargesaboutPropertycreatedAtupdatedAt
0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9...\"123\"\"11111111\"\"[\"\"https://pub-d28896f69c604ec5aa743cb039774...\"jjhhhu\"\"2025-09-11 10:07:21.386\"\"2025-09-11 10:07:21.386\"
1NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9...\"456\"\"22222222\"\"[\"\"https://pub-d28896f69c604ec5aa743cb039774...\"nbhjg\"\"2025-09-11 10:07:26.152\"\"2025-09-11 10:07:26.152\"
2NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9...\"972\"\"120000000\"\"[\"\"https://pub-d28896f69c604ec5aa743cb039774...\"faded \"\"about property \"\"2025-09-04 18:42:08.748\"\"2025-09-04 18:42:08.748\"
3NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9...\"188.73\"\"210000000\"\"[\"\"https://pub-d28896f69c604ec5aa743cb039774...\"fsdaffdsafsfdddsa\"\"2025-09-04 18:42:08.748\"\"2025-09-04 18:42:08.748\"
4NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9...\"426.57\"\"13000000\"\"[\"\"https://pub-d28896f69c604ec5aa743cb039774...\"na\"\"2025-09-08 09:06:36.995\"\"2025-09-08 09:06:36.995\"
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5 rows × 46 columns

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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe" } }, "metadata": {} } ] }, { "cell_type": "markdown", "metadata": { "id": "3a72f33f" }, "source": [ "**Reasoning**:\n", "Display the tail of the final merged dataframe to verify the merge includes rows from all original dataframes.\n", "\n" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 255 }, "id": "b821b294", "outputId": "10a70419-f04d-4a3f-b0c3-da735f5829e5" }, "source": [ "display(final_merged_df.tail())" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " id_project projectType projectName projectCategory slug slugId status \\\n", "165 NaN NaN NaN NaN NaN NaN NaN \n", "166 NaN NaN NaN NaN NaN NaN NaN \n", "167 NaN NaN NaN NaN NaN NaN NaN \n", "168 NaN NaN NaN NaN NaN NaN NaN \n", "169 NaN NaN NaN NaN NaN NaN NaN \n", "\n", " projectAge reraId countryId ... parkingType listingType floorPlanImage \\\n", "165 NaN NaN NaN ... NaN NaN NaN \n", "166 NaN NaN NaN ... NaN NaN NaN \n", "167 NaN NaN NaN ... NaN NaN NaN \n", "168 NaN NaN NaN ... NaN NaN NaN \n", "169 NaN NaN NaN ... NaN NaN NaN \n", "\n", " carpetArea price propertyImages maintenanceCharges aboutProperty \\\n", "165 NaN NaN NaN NaN NaN \n", "166 NaN NaN NaN NaN NaN \n", "167 NaN NaN NaN NaN NaN \n", "168 NaN NaN NaN NaN NaN \n", "169 NaN NaN NaN NaN NaN \n", "\n", " createdAt updatedAt \n", "165 NaN NaN \n", "166 NaN NaN \n", "167 NaN NaN \n", "168 NaN NaN \n", "169 NaN NaN \n", "\n", "[5 rows x 46 columns]" ], "text/html": [ "\n", "
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id_projectprojectTypeprojectNameprojectCategoryslugslugIdstatusprojectAgereraIdcountryId...parkingTypelistingTypefloorPlanImagecarpetAreapricepropertyImagesmaintenanceChargesaboutPropertycreatedAtupdatedAt
165NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
166NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
167NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
168NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
169NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
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5 rows × 46 columns

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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe" } }, "metadata": {} } ] }, { "cell_type": "markdown", "metadata": { "id": "68418493" }, "source": [ "## Inspect final merged dataframe\n", "\n", "### Subtask:\n", "Display the head, shape, and column names of the final merged dataframe to verify the full outer joins were successful and all data is combined.\n" ] }, { "cell_type": "markdown", "metadata": { "id": "107c66c5" }, "source": [ "**Reasoning**:\n", "Display the head, shape, and column names of the final merged dataframe to verify the full outer joins were successful and all data is combined.\n", "\n" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 377 }, "id": "aef2d9b0", "outputId": "1f49ca78-f748-4afa-bf93-6ae01189a8dc" }, "source": [ "display(final_merged_df.head())\n", "print(\"Shape of the final merged dataframe:\", final_merged_df.shape)\n", "print(\"Columns of the final merged dataframe:\", final_merged_df.columns.tolist())" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " id_project projectType projectName projectCategory slug slugId status \\\n", "0 NaN NaN NaN NaN NaN NaN NaN \n", "1 NaN NaN NaN NaN NaN NaN NaN \n", "2 NaN NaN NaN NaN NaN NaN NaN \n", "3 NaN NaN NaN NaN NaN NaN NaN \n", "4 NaN NaN NaN NaN NaN NaN NaN \n", "\n", " projectAge reraId countryId ... parkingType listingType \\\n", "0 NaN NaN NaN ... \"Sell\" \n", "1 NaN NaN NaN ... \"Sell\" \n", "2 NaN NaN NaN ... \"Sell\" \n", "3 NaN NaN NaN ... \"Sell\" \n", "4 NaN NaN NaN ... \"Sell\" \n", "\n", " floorPlanImage carpetArea \\\n", "0 \"https://pub-d28896f69c604ec5aa743cb0397740d9... \"123\" \n", "1 \"https://pub-d28896f69c604ec5aa743cb0397740d9... \"456\" \n", "2 \"https://pub-d28896f69c604ec5aa743cb0397740d9... \"972\" \n", "3 \"https://pub-d28896f69c604ec5aa743cb0397740d9... \"188.73\" \n", "4 \"https://pub-d28896f69c604ec5aa743cb0397740d9... \"426.57\" \n", "\n", " price propertyImages \\\n", "0 \"11111111\" \"[\"\"https://pub-d28896f69c604ec5aa743cb039774... \n", "1 \"22222222\" \"[\"\"https://pub-d28896f69c604ec5aa743cb039774... \n", "2 \"120000000\" \"[\"\"https://pub-d28896f69c604ec5aa743cb039774... \n", "3 \"210000000\" \"[\"\"https://pub-d28896f69c604ec5aa743cb039774... \n", "4 \"13000000\" \"[\"\"https://pub-d28896f69c604ec5aa743cb039774... \n", "\n", " maintenanceCharges aboutProperty \\\n", "0 \"jjhhhu\" \n", "1 \"nbhjg\" \n", "2 \"faded \" \"about property \" \n", "3 \"fsdaffdsafsfdddsa\" \n", "4 \"na\" \n", "\n", " createdAt updatedAt \n", "0 \"2025-09-11 10:07:21.386\" \"2025-09-11 10:07:21.386\" \n", "1 \"2025-09-11 10:07:26.152\" \"2025-09-11 10:07:26.152\" \n", "2 \"2025-09-04 18:42:08.748\" \"2025-09-04 18:42:08.748\" \n", "3 \"2025-09-04 18:42:08.748\" \"2025-09-04 18:42:08.748\" \n", "4 \"2025-09-08 09:06:36.995\" \"2025-09-08 09:06:36.995\" \n", "\n", "[5 rows x 46 columns]" ], "text/html": [ "\n", "
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id_projectprojectTypeprojectNameprojectCategoryslugslugIdstatusprojectAgereraIdcountryId...parkingTypelistingTypefloorPlanImagecarpetAreapricepropertyImagesmaintenanceChargesaboutPropertycreatedAtupdatedAt
0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9...\"123\"\"11111111\"\"[\"\"https://pub-d28896f69c604ec5aa743cb039774...\"jjhhhu\"\"2025-09-11 10:07:21.386\"\"2025-09-11 10:07:21.386\"
1NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9...\"456\"\"22222222\"\"[\"\"https://pub-d28896f69c604ec5aa743cb039774...\"nbhjg\"\"2025-09-11 10:07:26.152\"\"2025-09-11 10:07:26.152\"
2NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9...\"972\"\"120000000\"\"[\"\"https://pub-d28896f69c604ec5aa743cb039774...\"faded \"\"about property \"\"2025-09-04 18:42:08.748\"\"2025-09-04 18:42:08.748\"
3NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9...\"188.73\"\"210000000\"\"[\"\"https://pub-d28896f69c604ec5aa743cb039774...\"fsdaffdsafsfdddsa\"\"2025-09-04 18:42:08.748\"\"2025-09-04 18:42:08.748\"
4NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9...\"426.57\"\"13000000\"\"[\"\"https://pub-d28896f69c604ec5aa743cb039774...\"na\"\"2025-09-08 09:06:36.995\"\"2025-09-08 09:06:36.995\"
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5 rows × 46 columns

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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe" } }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "Shape of the final merged dataframe: (170, 46)\n", "Columns of the final merged dataframe: ['id_project', 'projectType', 'projectName', 'projectCategory', 'slug', 'slugId', 'status', 'projectAge', 'reraId', 'countryId', 'stateId', 'cityId', 'localityId', 'subLocalityId', 'projectSummary', 'possessionDate', 'id_address', 'projectId_merged', 'landmark', 'fullAddress', 'pincode', 'id_config_merged', 'projectId_config', 'propertyCategory', 'type', 'customBHK', 'id_conf_var', 'configurationId', 'bathrooms', 'privateBathrooms', 'publicBathrooms', 'balcony', 'furnishedType', 'furnishingType', 'lift', 'ageOfProperty', 'parkingType', 'listingType', 'floorPlanImage', 'carpetArea', 'price', 'propertyImages', 'maintenanceCharges', 'aboutProperty', 'createdAt', 'updatedAt']\n" ] } ] }, { "cell_type": "markdown", "metadata": { "id": "10757cd2" }, "source": [ "## Handle missing values and duplicates\n", "\n", "### Subtask:\n", "Address missing values and duplicates in the final merged dataframe.\n" ] }, { "cell_type": "markdown", "metadata": { "id": "703b2a93" }, "source": [ "**Reasoning**:\n", "Identify columns with missing values and handle duplicates in the final merged dataframe.\n", "\n" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "fab969ff", "outputId": "d7e9662c-8fc8-46e5-b1db-a0bda1912057" }, "source": [ "print(\"Missing values before handling:\\n\", final_merged_df.isnull().sum())\n", "\n", "# Handle missing values: Fill numerical columns with 0, and categorical/object columns with 'Unknown'\n", "for col in final_merged_df.columns:\n", " if final_merged_df[col].dtype in ['int64', 'float64']:\n", " final_merged_df[col] = final_merged_df[col].fillna(0)\n", " else:\n", " final_merged_df[col] = final_merged_df[col].fillna('Unknown')\n", "\n", "print(\"\\nMissing values after handling:\\n\", final_merged_df.isnull().sum())\n", "\n", "# Identify and remove duplicate rows\n", "print(\"\\nNumber of duplicate rows before removal:\", final_merged_df.duplicated().sum())\n", "final_merged_df = final_merged_df.drop_duplicates()\n", "print(\"Number of duplicate rows after removal:\", final_merged_df.duplicated().sum())\n", "\n", "# Display the shape of the dataframe and check for missing values again\n", "print(\"\\nShape of the dataframe after handling missing values and duplicates:\", final_merged_df.shape)\n", "print(\"Missing values after handling and duplicate removal:\\n\", final_merged_df.isnull().sum())" ], "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Missing values before handling:\n", " id_project 147\n", "projectType 147\n", "projectName 147\n", "projectCategory 147\n", "slug 147\n", "slugId 147\n", "status 147\n", "projectAge 147\n", "reraId 147\n", "countryId 147\n", "stateId 147\n", "cityId 147\n", "localityId 147\n", "subLocalityId 147\n", "projectSummary 147\n", "possessionDate 147\n", "id_address 161\n", "projectId_merged 161\n", "landmark 161\n", "fullAddress 161\n", "pincode 161\n", "id_config_merged 110\n", "projectId_config 110\n", "propertyCategory 110\n", "type 110\n", "customBHK 110\n", "id_conf_var 92\n", "configurationId 92\n", "bathrooms 92\n", "privateBathrooms 92\n", "publicBathrooms 92\n", "balcony 92\n", "furnishedType 92\n", "furnishingType 92\n", "lift 92\n", "ageOfProperty 92\n", "parkingType 92\n", "listingType 92\n", "floorPlanImage 92\n", "carpetArea 92\n", "price 92\n", "propertyImages 92\n", "maintenanceCharges 92\n", "aboutProperty 92\n", "createdAt 92\n", "updatedAt 92\n", "dtype: int64\n", "\n", "Missing values after handling:\n", " id_project 0\n", "projectType 0\n", "projectName 0\n", "projectCategory 0\n", "slug 0\n", "slugId 0\n", "status 0\n", "projectAge 0\n", "reraId 0\n", "countryId 0\n", "stateId 0\n", "cityId 0\n", "localityId 0\n", "subLocalityId 0\n", "projectSummary 0\n", "possessionDate 0\n", "id_address 0\n", "projectId_merged 0\n", "landmark 0\n", "fullAddress 0\n", "pincode 0\n", "id_config_merged 0\n", "projectId_config 0\n", "propertyCategory 0\n", "type 0\n", "customBHK 0\n", "id_conf_var 0\n", "configurationId 0\n", "bathrooms 0\n", "privateBathrooms 0\n", "publicBathrooms 0\n", "balcony 0\n", "furnishedType 0\n", "furnishingType 0\n", "lift 0\n", "ageOfProperty 0\n", "parkingType 0\n", "listingType 0\n", "floorPlanImage 0\n", "carpetArea 0\n", "price 0\n", "propertyImages 0\n", "maintenanceCharges 0\n", "aboutProperty 0\n", "createdAt 0\n", "updatedAt 0\n", "dtype: int64\n", "\n", "Number of duplicate rows before removal: 0\n", "Number of duplicate rows after removal: 0\n", "\n", "Shape of the dataframe after handling missing values and duplicates: (170, 46)\n", "Missing values after handling and duplicate removal:\n", " id_project 0\n", "projectType 0\n", "projectName 0\n", "projectCategory 0\n", "slug 0\n", "slugId 0\n", "status 0\n", "projectAge 0\n", "reraId 0\n", "countryId 0\n", "stateId 0\n", "cityId 0\n", "localityId 0\n", "subLocalityId 0\n", "projectSummary 0\n", "possessionDate 0\n", "id_address 0\n", "projectId_merged 0\n", "landmark 0\n", "fullAddress 0\n", "pincode 0\n", "id_config_merged 0\n", "projectId_config 0\n", "propertyCategory 0\n", "type 0\n", "customBHK 0\n", "id_conf_var 0\n", "configurationId 0\n", "bathrooms 0\n", "privateBathrooms 0\n", "publicBathrooms 0\n", "balcony 0\n", "furnishedType 0\n", "furnishingType 0\n", "lift 0\n", "ageOfProperty 0\n", "parkingType 0\n", "listingType 0\n", "floorPlanImage 0\n", "carpetArea 0\n", "price 0\n", "propertyImages 0\n", "maintenanceCharges 0\n", "aboutProperty 0\n", "createdAt 0\n", "updatedAt 0\n", "dtype: int64\n" ] } ] }, { "cell_type": "markdown", "metadata": { "id": "12b78eb1" }, "source": [ "## Preprocess other columns\n", "\n", "### Subtask:\n", "Perform data cleaning and transformations on specific columns in the `final_merged_df`.\n" ] }, { "cell_type": "markdown", "metadata": { "id": "2a15705a" }, "source": [ "**Reasoning**:\n", "Perform the requested data cleaning and transformations on the specified columns.\n", "\n" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "56e7bbe1", "outputId": "b0ff3689-0ec1-49b8-c08e-e4872eed50a2" }, "source": [ "# Clean columns by removing leading and trailing whitespace\n", "cols_to_strip = ['projectType', 'projectCategory', 'status', 'reraId', 'countryId', 'stateId', 'cityId', 'localityId', 'subLocalityId', 'propertyCategory', 'type', 'customBHK']\n", "for col in cols_to_strip:\n", " if col in final_merged_df.columns:\n", " final_merged_df[col] = final_merged_df[col].astype(str).str.strip()\n", "\n", "# Clean the reraId column by removing square brackets and double quotes\n", "if 'reraId' in final_merged_df.columns:\n", " final_merged_df['reraId'] = final_merged_df['reraId'].astype(str).str.replace('[', '', regex=False).str.replace(']', '', regex=False).str.replace('\"', '', regex=False)\n", "\n", "\n", "# Convert columns to numeric, coercing errors\n", "numeric_cols = ['projectAge', 'bathrooms', 'privateBathrooms', 'publicBathrooms', 'balcony', 'carpetArea', 'price']\n", "for col in numeric_cols:\n", " if col in final_merged_df.columns:\n", " final_merged_df[col] = pd.to_numeric(final_merged_df[col].astype(str).str.replace('\"', '', regex=False), errors='coerce')\n", "\n", "# Convert columns to datetime, coercing errors\n", "datetime_cols = ['possessionDate', 'createdAt', 'updatedAt']\n", "for col in datetime_cols:\n", " if col in final_merged_df.columns:\n", " final_merged_df[col] = pd.to_datetime(final_merged_df[col], errors='coerce')\n", "\n", "# Display the data types of the cleaned columns\n", "print(\"Data types after cleaning and transformation:\")\n", "print(final_merged_df[cols_to_strip + numeric_cols + datetime_cols].dtypes)" ], "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Data types after cleaning and transformation:\n", "projectType object\n", "projectCategory object\n", "status object\n", "reraId object\n", "countryId object\n", "stateId object\n", "cityId object\n", "localityId object\n", "subLocalityId object\n", "propertyCategory object\n", "type object\n", "customBHK object\n", "projectAge float64\n", "bathrooms float64\n", "privateBathrooms float64\n", "publicBathrooms float64\n", "balcony float64\n", "carpetArea float64\n", "price float64\n", "possessionDate datetime64[ns]\n", "createdAt datetime64[ns]\n", "updatedAt datetime64[ns]\n", "dtype: object\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "/tmp/ipython-input-2305822913.py:22: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", " final_merged_df[col] = pd.to_datetime(final_merged_df[col], errors='coerce')\n", "/tmp/ipython-input-2305822913.py:22: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", " final_merged_df[col] = pd.to_datetime(final_merged_df[col], errors='coerce')\n", "/tmp/ipython-input-2305822913.py:22: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", " final_merged_df[col] = pd.to_datetime(final_merged_df[col], errors='coerce')\n" ] } ] }, { "cell_type": "markdown", "metadata": { "id": "c6c9750c" }, "source": [ "## Save the final csv file\n", "\n", "### Subtask:\n", "Save the preprocessed dataframe to a new CSV file.\n" ] }, { "cell_type": "markdown", "metadata": { "id": "12f32150" }, "source": [ "**Reasoning**:\n", "Save the preprocessed dataframe to a CSV file named 'final_merged_data.csv' without including the index.\n", "\n" ] }, { "cell_type": "code", "metadata": { "id": "2cfc6e93" }, "source": [ "final_merged_df.to_csv('final_merged_data.csv', index=False)" ], "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "e69cd4f4" }, "source": [ "## Summary:\n", "\n", "### Data Analysis Key Findings\n", "\n", "* All four dataframes (`project_df`, `project_address_df`, `project_configuration_df`, and `project_conf_var_df`) were successfully merged using a series of full outer joins, resulting in a final dataframe with 170 rows and 46 columns.\n", "* Column names across all dataframes were cleaned to remove leading/trailing spaces and quotes before merging.\n", "* Missing values in the final merged dataframe were handled by filling numerical columns with 0 and categorical/object columns with 'Unknown'.\n", "* No duplicate rows were found in the final merged dataframe after handling missing values.\n", "* Specific columns were cleaned and transformed, including removing extra characters from `reraId`, converting several columns to numeric types, and converting date-related columns to datetime objects.\n", "\n", "### Insights or Next Steps\n", "\n", "* The comprehensive merged dataset is now ready for exploratory data analysis and further modeling.\n", "* Investigating the 'Unknown' values in categorical columns could provide insights into data completeness and potential data collection improvements.\n" ] }, { "cell_type": "code", "source": [ "final_merged_data=pd.read_csv('/content/final_merged_data.csv')" ], "metadata": { "id": "1UbsnP3pvH4A" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "display(final_merged_data.head())" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 342 }, "id": "hm8vmXjUvUON", "outputId": "36df01a7-78af-4be4-d061-c365cadfd31a" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " id_project projectType projectName projectCategory slug slugId \\\n", "0 Unknown Unknown Unknown Unknown Unknown Unknown \n", "1 Unknown Unknown Unknown Unknown Unknown Unknown \n", "2 Unknown Unknown Unknown Unknown Unknown Unknown \n", "3 Unknown Unknown Unknown Unknown Unknown Unknown \n", "4 Unknown Unknown Unknown Unknown Unknown Unknown \n", "\n", " status projectAge reraId countryId ... parkingType \\\n", "0 Unknown NaN Unknown Unknown ... \n", "1 Unknown NaN Unknown Unknown ... \n", "2 Unknown NaN Unknown Unknown ... \n", "3 Unknown NaN Unknown Unknown ... \n", "4 Unknown NaN Unknown Unknown ... \n", "\n", " listingType floorPlanImage \\\n", "0 \"Sell\" \"https://pub-d28896f69c604ec5aa743cb0397740d9... \n", "1 \"Sell\" \"https://pub-d28896f69c604ec5aa743cb0397740d9... \n", "2 \"Sell\" \"https://pub-d28896f69c604ec5aa743cb0397740d9... \n", "3 \"Sell\" \"https://pub-d28896f69c604ec5aa743cb0397740d9... \n", "4 \"Sell\" \"https://pub-d28896f69c604ec5aa743cb0397740d9... \n", "\n", " carpetArea price propertyImages \\\n", "0 123.00 11111111.0 \"[\"\"https://pub-d28896f69c604ec5aa743cb039774... \n", "1 456.00 22222222.0 \"[\"\"https://pub-d28896f69c604ec5aa743cb039774... \n", "2 972.00 120000000.0 \"[\"\"https://pub-d28896f69c604ec5aa743cb039774... \n", "3 188.73 210000000.0 \"[\"\"https://pub-d28896f69c604ec5aa743cb039774... \n", "4 426.57 13000000.0 \"[\"\"https://pub-d28896f69c604ec5aa743cb039774... \n", "\n", " maintenanceCharges aboutProperty createdAt updatedAt \n", "0 \"jjhhhu\" NaN NaN \n", "1 \"nbhjg\" NaN NaN \n", "2 \"faded \" \"about property \" NaN NaN \n", "3 \"fsdaffdsafsfdddsa\" NaN NaN \n", "4 \"na\" NaN NaN \n", "\n", "[5 rows x 46 columns]" ], "text/html": [ "\n", "
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5 rows × 46 columns

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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe" } }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "print(final_merged_df.columns)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "6Lm8x53AwM4Y", "outputId": "8c2b483d-82bc-4d34-d519-ce5b042ea1d8" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Index(['projectType', 'projectName', 'projectCategory', 'slug', 'status',\n", " 'projectAge', 'projectSummary', 'possessionDate', 'landmark',\n", " 'fullAddress', 'pincode', 'propertyCategory', 'type', 'customBHK',\n", " 'bathrooms', 'privateBathrooms', 'publicBathrooms', 'balcony',\n", " 'furnishedType', 'furnishingType', 'lift', 'ageOfProperty',\n", " 'parkingType', 'listingType', 'floorPlanImage', 'carpetArea', 'price',\n", " 'propertyImages', 'maintenanceCharges', 'aboutProperty', 'createdAt',\n", " 'updatedAt'],\n", " dtype='object')\n" ] } ] }, { "cell_type": "code", "source": [ "print(final_merged_df['projectType'].unique())" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "dRpJWRo9wQq4", "outputId": "1b178283-be62-49f1-8dcd-debc9687b285" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "['Unknown' 'RESIDENTIAL' 'COMMERCIAL' 'BOTH']\n" ] } ] }, { "cell_type": "code", "source": [ "final_merged_df = final_merged_df.drop(columns=['id_project','slugId', 'reraId','countryId', 'stateId','cityId', 'localityId', 'subLocalityId','id_address', 'projectId_merged','id_config_merged', 'projectId_config','id_conf_var','configurationId', ])" ], "metadata": { "id": "Puyn4BVrxDCc" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "display(final_merged_df.head())" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 342 }, "id": "CaX4u8KqyISa", "outputId": "c656f30f-07f1-48d5-cbc0-d752370ea29d" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " projectType projectName projectCategory slug status projectAge \\\n", "0 Unknown Unknown Unknown Unknown Unknown NaN \n", "1 Unknown Unknown Unknown Unknown Unknown NaN \n", "2 Unknown Unknown Unknown Unknown Unknown NaN \n", "3 Unknown Unknown Unknown Unknown Unknown NaN \n", "4 Unknown Unknown Unknown Unknown Unknown NaN \n", "\n", " projectSummary possessionDate landmark fullAddress ... parkingType \\\n", "0 Unknown NaT Unknown Unknown ... \n", "1 Unknown NaT Unknown Unknown ... \n", "2 Unknown NaT Unknown Unknown ... \n", "3 Unknown NaT Unknown Unknown ... \n", "4 Unknown NaT Unknown Unknown ... \n", "\n", " listingType floorPlanImage \\\n", "0 \"Sell\" \"https://pub-d28896f69c604ec5aa743cb0397740d9... \n", "1 \"Sell\" \"https://pub-d28896f69c604ec5aa743cb0397740d9... \n", "2 \"Sell\" \"https://pub-d28896f69c604ec5aa743cb0397740d9... \n", "3 \"Sell\" \"https://pub-d28896f69c604ec5aa743cb0397740d9... \n", "4 \"Sell\" \"https://pub-d28896f69c604ec5aa743cb0397740d9... \n", "\n", " carpetArea price propertyImages \\\n", "0 123.00 11111111.0 \"[\"\"https://pub-d28896f69c604ec5aa743cb039774... \n", "1 456.00 22222222.0 \"[\"\"https://pub-d28896f69c604ec5aa743cb039774... \n", "2 972.00 120000000.0 \"[\"\"https://pub-d28896f69c604ec5aa743cb039774... \n", "3 188.73 210000000.0 \"[\"\"https://pub-d28896f69c604ec5aa743cb039774... \n", "4 426.57 13000000.0 \"[\"\"https://pub-d28896f69c604ec5aa743cb039774... \n", "\n", " maintenanceCharges aboutProperty createdAt updatedAt \n", "0 \"jjhhhu\" NaT NaT \n", "1 \"nbhjg\" NaT NaT \n", "2 \"faded \" \"about property \" NaT NaT \n", "3 \"fsdaffdsafsfdddsa\" NaT NaT \n", "4 \"na\" NaT NaT \n", "\n", "[5 rows x 32 columns]" ], "text/html": [ "\n", "
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projectTypeprojectNameprojectCategoryslugstatusprojectAgeprojectSummarypossessionDatelandmarkfullAddress...parkingTypelistingTypefloorPlanImagecarpetAreapricepropertyImagesmaintenanceChargesaboutPropertycreatedAtupdatedAt
0UnknownUnknownUnknownUnknownUnknownNaNUnknownNaTUnknownUnknown...\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9...123.0011111111.0\"[\"\"https://pub-d28896f69c604ec5aa743cb039774...\"jjhhhu\"NaTNaT
1UnknownUnknownUnknownUnknownUnknownNaNUnknownNaTUnknownUnknown...\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9...456.0022222222.0\"[\"\"https://pub-d28896f69c604ec5aa743cb039774...\"nbhjg\"NaTNaT
2UnknownUnknownUnknownUnknownUnknownNaNUnknownNaTUnknownUnknown...\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9...972.00120000000.0\"[\"\"https://pub-d28896f69c604ec5aa743cb039774...\"faded \"\"about property \"NaTNaT
3UnknownUnknownUnknownUnknownUnknownNaNUnknownNaTUnknownUnknown...\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9...188.73210000000.0\"[\"\"https://pub-d28896f69c604ec5aa743cb039774...\"fsdaffdsafsfdddsa\"NaTNaT
4UnknownUnknownUnknownUnknownUnknownNaNUnknownNaTUnknownUnknown...\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9...426.5713000000.0\"[\"\"https://pub-d28896f69c604ec5aa743cb039774...\"na\"NaTNaT
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe" } }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "final_merged_df['Address info'] = final_merged_df['landmark'].astype(str) + ', ' + \\\n", " final_merged_df['fullAddress'].astype(str) + ', ' + \\\n", " final_merged_df['pincode'].astype(str)\n", "\n", "\n", "# Drop the original address columns\n", "final_merged_df = final_merged_df.drop(columns=['landmark', 'fullAddress', 'pincode'])\n", "\n", "display(final_merged_df[['Address info']].head())" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 69 }, "id": "XSAtvBur3Caf", "outputId": "99104740-5472-40ea-e344-9c31d35751f4" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " Address info\n", "0 Unknown, Unknown, 0.0\n", "1 Unknown, Unknown, 0.0\n", "2 Unknown, Unknown, 0.0\n", "3 Unknown, Unknown, 0.0\n", "4 Unknown, Unknown, 0.0" ], "text/html": [ "\n", "
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Address info
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Address info
0Unknown, Unknown, 0.0
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"display(final_merged_df[['Address info']]\",\n \"rows\": 10,\n \"fields\": [\n {\n \"column\": \"Address info\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"Unknown, Unknown, 0.0\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {} } ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 241 }, "id": "27b26e9f", "outputId": "dd46f0e8-97ee-4fbe-f48c-6b6e50cc6c44" }, "source": [ "final_merged_df['Variant details'] = final_merged_df['bathrooms'].astype(str) + ', ' + \\\n", " final_merged_df['balcony'].astype(str) + ', ' + \\\n", " final_merged_df['furnishedType'].astype(str) + ', ' + \\\n", " final_merged_df['carpetArea'].astype(str) + ', ' + \\\n", " final_merged_df['price'].astype(str) + ', ' + \\\n", " final_merged_df['propertyImages'].astype(str) + ', ' + \\\n", " final_merged_df['aboutProperty'].astype(str)\n", "\n", "# Drop the original variant columns\n", "final_merged_df = final_merged_df.drop(columns=['bathrooms', 'balcony', 'furnishedType', 'carpetArea', 'price', 'propertyImages', 'aboutProperty'])\n", "\n", "display(final_merged_df[['Variant details']].head())" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " Variant details\n", "0 1.0, 1.0, \"UNFURNISHED\" , 123.0, 11111111.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-1e5179453b5df91d.jpg\"\"]\" , \"jjhhhu\" \n", "1 0.0, 2.0, \"UNFURNISHED\" , 456.0, 22222222.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-7c8c73119cb2047b.jpg\"\"]\" , \"nbhjg\" \n", "2 12.0, 3.0, \"UNFURNISHED\" , 972.0, 120000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238541-c8a6e3aced460e18.jpg\"\"]\" , \"about property \" \n", "3 3.0, 2.0, \"UNFURNISHED\" , 188.73, 210000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238542-bd3d1a40c2d7fadb.jpg\"\"]\" , \"fsdaffdsafsfdddsa\" \n", "4 1.0, 1.0, \"UNFURNISHED\" , 426.57, 13000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391106-7c383f81d9c66290.jpg\"\"]\" , \"na\" " ], "text/html": [ "\n", "
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Variant details
01.0, 1.0, \"UNFURNISHED\" , 123.0, 11111111.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-1e5179453b5df91d.jpg\"\"]\" , \"jjhhhu\"
10.0, 2.0, \"UNFURNISHED\" , 456.0, 22222222.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-7c8c73119cb2047b.jpg\"\"]\" , \"nbhjg\"
212.0, 3.0, \"UNFURNISHED\" , 972.0, 120000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238541-c8a6e3aced460e18.jpg\"\"]\" , \"about property \"
33.0, 2.0, \"UNFURNISHED\" , 188.73, 210000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238542-bd3d1a40c2d7fadb.jpg\"\"]\" , \"fsdaffdsafsfdddsa\"
41.0, 1.0, \"UNFURNISHED\" , 426.57, 13000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391106-7c383f81d9c66290.jpg\"\"]\" , \"na\"
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"display(final_merged_df[['Variant details']]\",\n \"rows\": 5,\n \"fields\": [\n {\n \"column\": \"Variant details\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"0.0, 2.0, \\\"UNFURNISHED\\\" , 456.0, 22222222.0, \\\"[\\\"\\\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-7c8c73119cb2047b.jpg\\\"\\\"]\\\" , \\\"nbhjg\\\" \",\n \"1.0, 1.0, \\\"UNFURNISHED\\\" , 426.57, 13000000.0, \\\"[\\\"\\\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391106-7c383f81d9c66290.jpg\\\"\\\"]\\\" , \\\"na\\\" \",\n \"12.0, 3.0, \\\"UNFURNISHED\\\" , 972.0, 120000000.0, \\\"[\\\"\\\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238541-c8a6e3aced460e18.jpg\\\"\\\"]\\\" , \\\"about property \\\" \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {} } ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 206 }, "id": "3284c9b1", "outputId": "a85ecef9-2388-49d1-a4df-dcc9374e3c02" }, "source": [ "final_merged_df['Configuration info'] = final_merged_df['propertyCategory'].astype(str) + ', ' + \\\n", " final_merged_df['type'].astype(str) + ', ' + \\\n", " final_merged_df['customBHK'].astype(str)\n", "\n", "# Drop the original configuration columns\n", "final_merged_df = final_merged_df.drop(columns=['propertyCategory', 'type', 'customBHK'])\n", "\n", "display(final_merged_df[['Configuration info']].head())" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " Configuration info\n", "0 Unknown, Unknown, Unknown\n", "1 Unknown, Unknown, Unknown\n", "2 Unknown, Unknown, Unknown\n", "3 Unknown, Unknown, Unknown\n", "4 Unknown, Unknown, Unknown" ], "text/html": [ "\n", "
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Configuration info
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4Unknown, Unknown, Unknown
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projectTypeprojectNameprojectCategoryslugstatusprojectAgeprojectSummarypossessionDateprivateBathroomspublicBathrooms...ageOfPropertyparkingTypelistingTypefloorPlanImagemaintenanceChargescreatedAtupdatedAtAddress infoVariant detailsConfiguration info
0UnknownUnknownUnknownUnknownUnknownNaNUnknownNaTNaNNaN...\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757584023815-67012c27580e3e23.jpg\"NaTNaTUnknown, Unknown, 0.01.0, 1.0, \"UNFURNISHED\" , 123.0, 11111111.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-1e5179453b5df91d.jpg\"\"]\" , \"jjhhhu\"Unknown, Unknown, Unknown
1UnknownUnknownUnknownUnknownUnknownNaNUnknownNaTNaNNaN...\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-419924a4c5c28823.jpg\"NaTNaTUnknown, Unknown, 0.00.0, 2.0, \"UNFURNISHED\" , 456.0, 22222222.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-7c8c73119cb2047b.jpg\"\"]\" , \"nbhjg\"Unknown, Unknown, Unknown
2UnknownUnknownUnknownUnknownUnknownNaNUnknownNaTNaNNaN...\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238520-ba6c9c4021ea321f.jpg\"\"faded \"NaTNaTUnknown, Unknown, 0.012.0, 3.0, \"UNFURNISHED\" , 972.0, 120000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238541-c8a6e3aced460e18.jpg\"\"]\" , \"about property \"Unknown, Unknown, Unknown
3UnknownUnknownUnknownUnknownUnknownNaNUnknownNaTNaNNaN...\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238542-2d39a8b06669406b.jpg\"NaTNaTUnknown, Unknown, 0.03.0, 2.0, \"UNFURNISHED\" , 188.73, 210000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238542-bd3d1a40c2d7fadb.jpg\"\"]\" , \"fsdaffdsafsfdddsa\"Unknown, Unknown, Unknown
4UnknownUnknownUnknownUnknownUnknownNaNUnknownNaTNaNNaN...\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391101-b4e4be9945434d29.jpg\"NaTNaTUnknown, Unknown, 0.01.0, 1.0, \"UNFURNISHED\" , 426.57, 13000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391106-7c383f81d9c66290.jpg\"\"]\" , \"na\"Unknown, Unknown, Unknown
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe" } }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "print(final_merged_df.columns)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Z-T-1MT67lpz", "outputId": "42a1acb4-e7ec-47d5-c295-d6797904d9c7" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Index(['projectCategory', 'slug', 'projectAge', 'projectSummary',\n", " 'privateBathrooms', 'publicBathrooms', 'furnishingType', 'lift',\n", " 'ageOfProperty', 'parkingType', 'listingType', 'floorPlanImage',\n", " 'maintenanceCharges', 'createdAt', 'updatedAt', 'Address info',\n", " 'Variant details', 'Configuration info', 'Title', 'Possession Status'],\n", " dtype='object')\n" ] } ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 206 }, "id": "7c86fbd5", "outputId": "52d01f7c-c358-4510-df6d-7624e334a41f" }, "source": [ "final_merged_df['Possession Status'] = final_merged_df['status'].astype(str) + ' - ' + final_merged_df['possessionDate'].astype(str)\n", "\n", "# Drop the original columns\n", "final_merged_df = final_merged_df.drop(columns=['status', 'possessionDate'])\n", "\n", "display(final_merged_df[['Possession Status']].head())" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " Possession Status\n", "0 Unknown - NaT\n", "1 Unknown - NaT\n", "2 Unknown - NaT\n", "3 Unknown - NaT\n", "4 Unknown - NaT" ], "text/html": [ "\n", "
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Possession Status
0Unknown - NaT
1Unknown - NaT
2Unknown - NaT
3Unknown - NaT
4Unknown - NaT
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"display(final_merged_df[['Possession Status']]\",\n \"rows\": 5,\n \"fields\": [\n {\n \"column\": \"Possession Status\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"Unknown - NaT\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {} } ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 206 }, "id": "2d412b59", "outputId": "0ddae979-94a8-45ee-9f64-278295191511" }, "source": [ "final_merged_df['Title'] = final_merged_df['projectName'].astype(str) + ' - ' + final_merged_df['projectType'].astype(str)\n", "\n", "# Drop the original columns\n", "final_merged_df = final_merged_df.drop(columns=['projectName', 'projectType'])\n", "\n", "display(final_merged_df[['Title']].head())" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " Title\n", "0 Unknown - Unknown\n", "1 Unknown - Unknown\n", "2 Unknown - Unknown\n", "3 Unknown - Unknown\n", "4 Unknown - Unknown" ], "text/html": [ "\n", "
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Title
0Unknown - Unknown
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2Unknown - Unknown
3Unknown - Unknown
4Unknown - Unknown
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"display(final_merged_df[['Title']]\",\n \"rows\": 5,\n \"fields\": [\n {\n \"column\": \"Title\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"Unknown - Unknown\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {} } ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "b6e88b75", "outputId": "678392d4-fbfb-4323-a597-33679ded854e" }, "source": [ "print(\"Shape of the final merged dataframe:\", final_merged_df.shape)" ], "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Shape of the final merged dataframe: (170, 20)\n" ] } ] }, { "cell_type": "code", "source": [], "metadata": { "id": "uSfuVGeABEty" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 469 }, "id": "ec3a3067", "outputId": "f0423224-1950-4b9d-bf3a-e40fa4469307" }, "source": [ "display(final_merged_df.head())" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " projectCategory slug projectAge projectSummary privateBathrooms \\\n", "0 Unknown Unknown NaN Unknown NaN \n", "1 Unknown Unknown NaN Unknown NaN \n", "2 Unknown Unknown NaN Unknown NaN \n", "3 Unknown Unknown NaN Unknown NaN \n", "4 Unknown Unknown NaN Unknown NaN \n", "\n", " publicBathrooms \\\n", "0 NaN \n", "1 NaN \n", "2 NaN \n", "3 NaN \n", "4 NaN \n", "\n", " furnishingType \\\n", "0 \"[]\" \n", "1 \"[]\" \n", "2 \"[]\" \n", "3 \"[]\" \n", "4 \"[]\" \n", "\n", " lift ageOfProperty parkingType listingType \\\n", "0 \"false\" \"Sell\" \n", "1 \"false\" \"Sell\" \n", "2 \"false\" \"Sell\" \n", "3 \"false\" \"Sell\" \n", "4 \"false\" \"Sell\" \n", "\n", " floorPlanImage \\\n", "0 \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757584023815-67012c27580e3e23.jpg\" \n", "1 \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-419924a4c5c28823.jpg\" \n", "2 \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238520-ba6c9c4021ea321f.jpg\" \n", "3 \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238542-2d39a8b06669406b.jpg\" \n", "4 \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391101-b4e4be9945434d29.jpg\" \n", "\n", " maintenanceCharges createdAt updatedAt Address info \\\n", "0 NaT NaT Unknown, Unknown, 0.0 \n", "1 NaT NaT Unknown, Unknown, 0.0 \n", "2 \"faded \" NaT NaT Unknown, Unknown, 0.0 \n", "3 NaT NaT Unknown, Unknown, 0.0 \n", "4 NaT NaT Unknown, Unknown, 0.0 \n", "\n", " Variant details \\\n", "0 1.0, 1.0, \"UNFURNISHED\" , 123.0, 11111111.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-1e5179453b5df91d.jpg\"\"]\" , \"jjhhhu\" \n", "1 0.0, 2.0, \"UNFURNISHED\" , 456.0, 22222222.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-7c8c73119cb2047b.jpg\"\"]\" , \"nbhjg\" \n", "2 12.0, 3.0, \"UNFURNISHED\" , 972.0, 120000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238541-c8a6e3aced460e18.jpg\"\"]\" , \"about property \" \n", "3 3.0, 2.0, \"UNFURNISHED\" , 188.73, 210000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238542-bd3d1a40c2d7fadb.jpg\"\"]\" , \"fsdaffdsafsfdddsa\" \n", "4 1.0, 1.0, \"UNFURNISHED\" , 426.57, 13000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391106-7c383f81d9c66290.jpg\"\"]\" , \"na\" \n", "\n", " Configuration info Title Possession Status \n", "0 Unknown, Unknown, Unknown Unknown - Unknown Unknown - NaT \n", "1 Unknown, Unknown, Unknown Unknown - Unknown Unknown - NaT \n", "2 Unknown, Unknown, Unknown Unknown - Unknown Unknown - NaT \n", "3 Unknown, Unknown, Unknown Unknown - Unknown Unknown - NaT \n", "4 Unknown, Unknown, Unknown Unknown - Unknown Unknown - NaT " ], "text/html": [ "\n", "
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projectCategoryslugprojectAgeprojectSummaryprivateBathroomspublicBathroomsfurnishingTypeliftageOfPropertyparkingTypelistingTypefloorPlanImagemaintenanceChargescreatedAtupdatedAtAddress infoVariant detailsConfiguration infoTitlePossession Status
0UnknownUnknownNaNUnknownNaNNaN\"[]\"\"false\"\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757584023815-67012c27580e3e23.jpg\"NaTNaTUnknown, Unknown, 0.01.0, 1.0, \"UNFURNISHED\" , 123.0, 11111111.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-1e5179453b5df91d.jpg\"\"]\" , \"jjhhhu\"Unknown, Unknown, UnknownUnknown - UnknownUnknown - NaT
1UnknownUnknownNaNUnknownNaNNaN\"[]\"\"false\"\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-419924a4c5c28823.jpg\"NaTNaTUnknown, Unknown, 0.00.0, 2.0, \"UNFURNISHED\" , 456.0, 22222222.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-7c8c73119cb2047b.jpg\"\"]\" , \"nbhjg\"Unknown, Unknown, UnknownUnknown - UnknownUnknown - NaT
2UnknownUnknownNaNUnknownNaNNaN\"[]\"\"false\"\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238520-ba6c9c4021ea321f.jpg\"\"faded \"NaTNaTUnknown, Unknown, 0.012.0, 3.0, \"UNFURNISHED\" , 972.0, 120000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238541-c8a6e3aced460e18.jpg\"\"]\" , \"about property \"Unknown, Unknown, UnknownUnknown - UnknownUnknown - NaT
3UnknownUnknownNaNUnknownNaNNaN\"[]\"\"false\"\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238542-2d39a8b06669406b.jpg\"NaTNaTUnknown, Unknown, 0.03.0, 2.0, \"UNFURNISHED\" , 188.73, 210000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238542-bd3d1a40c2d7fadb.jpg\"\"]\" , \"fsdaffdsafsfdddsa\"Unknown, Unknown, UnknownUnknown - UnknownUnknown - NaT
4UnknownUnknownNaNUnknownNaNNaN\"[]\"\"false\"\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391101-b4e4be9945434d29.jpg\"NaTNaTUnknown, Unknown, 0.01.0, 1.0, \"UNFURNISHED\" , 426.57, 13000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391106-7c383f81d9c66290.jpg\"\"]\" , \"na\"Unknown, Unknown, UnknownUnknown - UnknownUnknown - NaT
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"display(final_merged_df\",\n \"rows\": 5,\n \"fields\": [\n {\n \"column\": \"projectCategory\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"Unknown\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"slug\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"Unknown\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"projectAge\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": null,\n \"min\": null,\n \"max\": null,\n \"num_unique_values\": 0,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"projectSummary\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"privateBathrooms\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": null,\n \"min\": null,\n \"max\": null,\n \"num_unique_values\": 0,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"publicBathrooms\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": null,\n \"min\": null,\n \"max\": null,\n \"num_unique_values\": 0,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"furnishingType\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"lift\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"ageOfProperty\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"parkingType\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"listingType\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"floorPlanImage\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"maintenanceCharges\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"createdAt\",\n \"properties\": {\n \"dtype\": \"date\",\n \"min\": \"NaT\",\n \"max\": \"NaT\",\n \"num_unique_values\": 0,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"updatedAt\",\n \"properties\": {\n \"dtype\": \"date\",\n \"min\": \"NaT\",\n \"max\": \"NaT\",\n \"num_unique_values\": 0,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Address info\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Variant details\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Configuration info\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Title\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Possession Status\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {} } ] }, { "cell_type": "code", "source": [], "metadata": { "id": "zf8Jlb98BqU3" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 851 }, "id": "b18e2fab", "outputId": "a8160dee-6501-4b7f-d30d-cea5c789186c" }, "source": [ "# Generate a random sample of 10 rows\n", "random_sample_df = final_merged_df.sample(n=10)\n", "\n", "# Display the random sample\n", "display(random_sample_df)" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " projectCategory \\\n", "138 STANDALONE \n", "17 Unknown \n", "42 Unknown \n", "108 Unknown \n", "127 Unknown \n", "16 Unknown \n", "6 Unknown \n", "28 Unknown \n", "107 Unknown \n", "151 STANDALONE \n", "\n", " slug projectAge \\\n", "138 luxury-ashwini-ashoknagar-chembur-mumbai-675058 NaN \n", "17 Unknown NaN \n", "42 Unknown NaN \n", "108 Unknown NaN \n", "127 Unknown NaN \n", "16 Unknown NaN \n", "6 Unknown NaN \n", "28 Unknown NaN \n", "107 Unknown NaN \n", "151 16-lakaki-modelcolony-shivajinagar-pune-470663 NaN \n", "\n", " projectSummary \\\n", "138 \n", "17 Unknown \n", "42 Unknown \n", "108 Unknown \n", "127 Unknown \n", "16 Unknown \n", "6 Unknown \n", "28 Unknown \n", "107 Unknown \n", "151 sdfghgvbndfgh \n", "\n", " privateBathrooms publicBathrooms \\\n", "138 NaN NaN \n", "17 NaN NaN \n", "42 NaN NaN \n", "108 NaN NaN \n", "127 NaN NaN \n", "16 NaN NaN \n", "6 NaN NaN \n", "28 NaN NaN \n", "107 NaN NaN \n", "151 NaN NaN \n", "\n", " furnishingType \\\n", "138 Unknown \n", "17 \"[]\" \n", "42 \"[]\" \n", "108 Unknown \n", "127 Unknown \n", "16 \"[]\" \n", "6 \"[]\" \n", "28 \"[]\" \n", "107 Unknown \n", "151 Unknown \n", "\n", " lift ageOfProperty parkingType listingType \\\n", "138 Unknown Unknown Unknown Unknown \n", "17 \"false\" \"Sell\" \n", "42 \"false\" \"Sell\" \n", "108 Unknown Unknown Unknown Unknown \n", "127 Unknown Unknown Unknown Unknown \n", "16 \"false\" \"Sell\" \n", "6 \"false\" \"Sell\" \n", "28 \"false\" \"Sell\" \n", "107 Unknown Unknown Unknown Unknown \n", "151 Unknown Unknown Unknown Unknown \n", "\n", " floorPlanImage \\\n", "138 Unknown \n", "17 \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757325712608-05900f06f63a6dfa.jpg\" \n", "42 \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757416263444-42b0f4d7ba7315d4.jpg\" \n", "108 Unknown \n", "127 Unknown \n", "16 \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757325712599-4bd849d13fb20425.jpg\" \n", "6 \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391158-41329b8304cff17d.jpg\" \n", "28 \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757403866053-185c21624393f002.jpg\" \n", "107 Unknown \n", "151 Unknown \n", "\n", " maintenanceCharges createdAt updatedAt Address info \\\n", "138 Unknown NaT NaT Unknown, Unknown, 0.0 \n", "17 NaT NaT Unknown, Unknown, 0.0 \n", "42 NaT NaT Unknown, Unknown, 0.0 \n", "108 Unknown NaT NaT Unknown, Unknown, 0.0 \n", "127 Unknown NaT NaT Unknown, Unknown, 0.0 \n", "16 NaT NaT Unknown, Unknown, 0.0 \n", "6 NaT NaT Unknown, Unknown, 0.0 \n", "28 NaT NaT Unknown, Unknown, 0.0 \n", "107 Unknown NaT NaT Unknown, Unknown, 0.0 \n", "151 Unknown NaT NaT Unknown, Unknown, 0.0 \n", "\n", " Variant details \\\n", "138 nan, nan, Unknown, nan, nan, Unknown, Unknown \n", "17 2.0, 2.0, \"UNFURNISHED\" , 650.0, 14000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757325712608-e94b60550c5c2690.jpg\"\"]\" , \"na\" \n", "42 3.0, 2.0, \"UNFURNISHED\" , 1185.0, 96000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757416263445-61ad0a336e5cd7e8.jpg\"\"]\" , \"na\" \n", "108 nan, nan, Unknown, nan, nan, Unknown, Unknown \n", "127 nan, nan, Unknown, nan, nan, Unknown, Unknown \n", "16 2.0, 2.0, \"UNFURNISHED\" , 536.0, 12000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757325712607-8e031215d719e572.jpg\"\"]\" , \"na\" \n", "6 3.0, 2.0, \"UNFURNISHED\" , 893.08, 29000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391167-19d3844213de86cb.jpg\"\"]\" , \"na\" \n", "28 2.0, 2.0, \"UNFURNISHED\" , 637.76, 8900000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757403866054-3b21d5295d1b7bce.jpg\"\"]\" , \"na\" \n", "107 nan, nan, Unknown, nan, nan, Unknown, Unknown \n", "151 nan, nan, Unknown, nan, nan, Unknown, Unknown \n", "\n", " Configuration info \\\n", "138 Unknown, Unknown, Unknown \n", "17 Unknown, Unknown, Unknown \n", "42 Unknown, Unknown, Unknown \n", "108 RESIDENTIAL, 3BHK, 3BHK \n", "127 RESIDENTIAL, 4.5BHK, \n", "16 Unknown, Unknown, Unknown \n", "6 Unknown, Unknown, Unknown \n", "28 Unknown, Unknown, Unknown \n", "107 RESIDENTIAL, 2BHK, 2BHK \n", "151 Unknown, Unknown, Unknown \n", "\n", " Title \\\n", "138 Ashwini - RESIDENTIAL \n", "17 Unknown - Unknown \n", "42 Unknown - Unknown \n", "108 Unknown - Unknown \n", "127 Unknown - Unknown \n", "16 Unknown - Unknown \n", "6 Unknown - Unknown \n", "28 Unknown - Unknown \n", "107 Unknown - Unknown \n", "151 16 Lakaki - RESIDENTIAL \n", "\n", " Possession Status \n", "138 UNDER_CONSTRUCTION - 2025-09-28 \n", "17 Unknown - NaT \n", "42 Unknown - NaT \n", "108 Unknown - NaT \n", "127 Unknown - NaT \n", "16 Unknown - NaT \n", "6 Unknown - NaT \n", "28 Unknown - NaT \n", "107 Unknown - NaT \n", "151 UNDER_CONSTRUCTION - NaT " ], "text/html": [ "\n", "
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projectCategoryslugprojectAgeprojectSummaryprivateBathroomspublicBathroomsfurnishingTypeliftageOfPropertyparkingTypelistingTypefloorPlanImagemaintenanceChargescreatedAtupdatedAtAddress infoVariant detailsConfiguration infoTitlePossession Status
138STANDALONEluxury-ashwini-ashoknagar-chembur-mumbai-675058NaNNaNNaNUnknownUnknownUnknownUnknownUnknownUnknownUnknownNaTNaTUnknown, Unknown, 0.0nan, nan, Unknown, nan, nan, Unknown, UnknownUnknown, Unknown, UnknownAshwini - RESIDENTIALUNDER_CONSTRUCTION - 2025-09-28
17UnknownUnknownNaNUnknownNaNNaN\"[]\"\"false\"\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757325712608-05900f06f63a6dfa.jpg\"NaTNaTUnknown, Unknown, 0.02.0, 2.0, \"UNFURNISHED\" , 650.0, 14000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757325712608-e94b60550c5c2690.jpg\"\"]\" , \"na\"Unknown, Unknown, UnknownUnknown - UnknownUnknown - NaT
42UnknownUnknownNaNUnknownNaNNaN\"[]\"\"false\"\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757416263444-42b0f4d7ba7315d4.jpg\"NaTNaTUnknown, Unknown, 0.03.0, 2.0, \"UNFURNISHED\" , 1185.0, 96000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757416263445-61ad0a336e5cd7e8.jpg\"\"]\" , \"na\"Unknown, Unknown, UnknownUnknown - UnknownUnknown - NaT
108UnknownUnknownNaNUnknownNaNNaNUnknownUnknownUnknownUnknownUnknownUnknownUnknownNaTNaTUnknown, Unknown, 0.0nan, nan, Unknown, nan, nan, Unknown, UnknownRESIDENTIAL, 3BHK, 3BHKUnknown - UnknownUnknown - NaT
127UnknownUnknownNaNUnknownNaNNaNUnknownUnknownUnknownUnknownUnknownUnknownUnknownNaTNaTUnknown, Unknown, 0.0nan, nan, Unknown, nan, nan, Unknown, UnknownRESIDENTIAL, 4.5BHK,Unknown - UnknownUnknown - NaT
16UnknownUnknownNaNUnknownNaNNaN\"[]\"\"false\"\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757325712599-4bd849d13fb20425.jpg\"NaTNaTUnknown, Unknown, 0.02.0, 2.0, \"UNFURNISHED\" , 536.0, 12000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757325712607-8e031215d719e572.jpg\"\"]\" , \"na\"Unknown, Unknown, UnknownUnknown - UnknownUnknown - NaT
6UnknownUnknownNaNUnknownNaNNaN\"[]\"\"false\"\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391158-41329b8304cff17d.jpg\"NaTNaTUnknown, Unknown, 0.03.0, 2.0, \"UNFURNISHED\" , 893.08, 29000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391167-19d3844213de86cb.jpg\"\"]\" , \"na\"Unknown, Unknown, UnknownUnknown - UnknownUnknown - NaT
28UnknownUnknownNaNUnknownNaNNaN\"[]\"\"false\"\"Sell\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757403866053-185c21624393f002.jpg\"NaTNaTUnknown, Unknown, 0.02.0, 2.0, \"UNFURNISHED\" , 637.76, 8900000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757403866054-3b21d5295d1b7bce.jpg\"\"]\" , \"na\"Unknown, Unknown, UnknownUnknown - UnknownUnknown - NaT
107UnknownUnknownNaNUnknownNaNNaNUnknownUnknownUnknownUnknownUnknownUnknownUnknownNaTNaTUnknown, Unknown, 0.0nan, nan, Unknown, nan, nan, Unknown, UnknownRESIDENTIAL, 2BHK, 2BHKUnknown - UnknownUnknown - NaT
151STANDALONE16-lakaki-modelcolony-shivajinagar-pune-470663NaNsdfghgvbndfghNaNNaNUnknownUnknownUnknownUnknownUnknownUnknownUnknownNaTNaTUnknown, Unknown, 0.0nan, nan, Unknown, nan, nan, Unknown, UnknownUnknown, Unknown, Unknown16 Lakaki - RESIDENTIALUNDER_CONSTRUCTION - NaT
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "random_sample_df", "summary": "{\n \"name\": \"random_sample_df\",\n \"rows\": 10,\n \"fields\": [\n {\n \"column\": \"projectCategory\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n \"Unknown\",\n \"STANDALONE\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"slug\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 3,\n \"samples\": [\n \" luxury-ashwini-ashoknagar-chembur-mumbai-675058 \",\n \"Unknown\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"projectAge\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": null,\n \"min\": null,\n \"max\": null,\n \"num_unique_values\": 0,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"projectSummary\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 3,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"privateBathrooms\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": null,\n \"min\": null,\n \"max\": null,\n \"num_unique_values\": 0,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"publicBathrooms\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": null,\n \"min\": null,\n \"max\": null,\n \"num_unique_values\": 0,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"furnishingType\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"lift\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"ageOfProperty\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"parkingType\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"listingType\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"floorPlanImage\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 6,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"maintenanceCharges\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"createdAt\",\n \"properties\": {\n \"dtype\": \"date\",\n \"min\": \"NaT\",\n \"max\": \"NaT\",\n \"num_unique_values\": 0,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"updatedAt\",\n \"properties\": {\n \"dtype\": \"date\",\n \"min\": \"NaT\",\n \"max\": \"NaT\",\n \"num_unique_values\": 0,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Address info\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Variant details\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 6,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Configuration info\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 4,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Title\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 3,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Possession Status\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 3,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {} } ] }, { "cell_type": "code", "source": [], "metadata": { "id": "ZbAoiBfOEFCd" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "b5466831", "outputId": "ceee60d7-b5e3-4fe7-b633-d26b5f61ac49" }, "source": [ "for col in final_merged_df.columns:\n", " print(f\"Unique values in column '{col}':\")\n", " print(final_merged_df[col].unique())\n", " print(\"-\" * 30)" ], "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Unique values in column 'projectCategory':\n", "['Unknown' 'STANDALONE' 'COMPLEX' 'TOWNSHIP']\n", "------------------------------\n", "Unique values in column 'slug':\n", "['Unknown' ' luxury-ashwini-ashoknagar-chembur-mumbai-675058 '\n", " ' pristine02-modelcolony-shivajinagar-pune-428955 '\n", " ' gurukripa-ashoknagar-chembur-mumbai-086047 '\n", " ' hari-om-ashoknagar-chembur-mumbai-650559 '\n", " ' om-makarand-heights-ashoknagar-chembur-mumbai-716337 '\n", " ' luxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861'\n", " ' avenue-15-ashoknagar-chembur-mumbai-140508 '\n", " ' swaroop-aditya-avenue-ashoknagar-chembur-mumbai-422427 '\n", " ' luxury-marigold-miraaya--ashoknagar-chembur-mumbai-870766'\n", " ' balaji-kanha--ashoknagar-chembur-mumbai-678207 '\n", " ' luxury-bhoomi-antara--ashoknagar-chembur-mumbai-093979 '\n", " ' luxury-arkade-prime-ashoknagar-chembur-mumbai-906049 '\n", " ' luxury-glory-katewasti-punawale-pune-268353 '\n", " ' 16-lakaki-modelcolony-shivajinagar-pune-470663 '\n", " ' luxury-dinmanee--modelcolony-shivajinagar-pune-878430 '\n", " ' zoa-building-2-wing-a-keshavnagar-mundhwa-pune-757777 '\n", " ' midori-towers-modelcolony-shivajinagar-pune-449745 '\n", " ' kedar-residency-modelcolony-shivajinagar-pune-678656 '\n", " ' sonai-clara-brtlinkrd-ravet-pune-029297 '\n", " ' santiago-skytown-vikasnagar-ravet-pune-632333 '\n", " ' the-silver-altair--pcmc-ravet-pune-945470 '\n", " ' testing-modelcolony-shivajinagar-pune-301013 '\n", " ' testring999-somwarpeth-camp-pune-222053 ']\n", "------------------------------\n", "Unique values in column 'projectAge':\n", "[nan 0. 11.]\n", "------------------------------\n", "Unique values in column 'projectSummary':\n", "['Unknown'\n", " ' '\n", " ' sdfghgvbndfgh '\n", " ' sdfghjhgfdfghjgfdfghgfgh '\n", " ' dsgfhjk ']\n", "------------------------------\n", "Unique values in column 'privateBathrooms':\n", "[nan 1. 0.]\n", "------------------------------\n", "Unique values in column 'publicBathrooms':\n", "[nan 1. 0.]\n", "------------------------------\n", "Unique values in column 'furnishingType':\n", "[' \"[]\" '\n", " 'Unknown']\n", "------------------------------\n", "Unique values in column 'lift':\n", "[' \"false\"' 'Unknown']\n", "------------------------------\n", "Unique values in column 'ageOfProperty':\n", "[' ' 'Unknown']\n", "------------------------------\n", "Unique values in column 'parkingType':\n", "[' ' 'Unknown']\n", "------------------------------\n", "Unique values in column 'listingType':\n", "[' \"Sell\" ' 'Unknown']\n", "------------------------------\n", "Unique values in column 'floorPlanImage':\n", "[' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757584023815-67012c27580e3e23.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-419924a4c5c28823.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238520-ba6c9c4021ea321f.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238542-2d39a8b06669406b.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391101-b4e4be9945434d29.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391141-e6c14becbdbd76a2.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391158-41329b8304cff17d.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391179-7f2bff943c2805a5.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391195-0e9c4aa442f80776.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391210-70f3ad7351a09d4c.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757324645437-975f7a8ecca1de6d.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757324645448-970dda42c441c73b.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757324645450-abde5eb3211c0467.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757325712590-57c98e762d3e95c3.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757325712593-25cd2d9a5765be22.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757325712597-accd128a6ea12d10.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757325712599-4bd849d13fb20425.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757325712608-05900f06f63a6dfa.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210633-ec5431f188d4de3c.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210671-c54804f690eac296.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210675-be2512dbfae0b3f7.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210681-7ca76e0e6739c3c1.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757401136185-abf1e76a1175f931.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757401136186-d8d90b0f32b32c7f.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757401136187-1ecea6707162bfe7.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757402417345-d65dfb1fd5d0d077.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757402417346-59bcce3ff8c17194.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757402417348-0cca2389f798785c.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757403866053-185c21624393f002.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757403866054-1c8c078c7503aa74.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757403866054-f05bbc2ef47cc262.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757403866054-66f1c36cd5370f62.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757409672773-6523197b4bafe2f8.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757409672776-9c48211b8fc08a50.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757411089519-382dc615d1a8a01c.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757411089523-4a25ba0ab26ba4af.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757411089524-85f5063857a9e066.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757411900104-d2b27e1086902c25.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757411900105-92746a06993e21a1.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757411900106-2052b7fd49a2faaa.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757416263429-b34f6e00dad04cee.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757416263442-37973fcf73632905.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757416263444-42b0f4d7ba7315d4.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757486991474-f7da47510a2039a9.jpeg\"'\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757486991488-c0b949b98960c0ed.jpg\" '\n", " ' '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757486991499-74fa17a4c97985e2.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757488967184-719e10b6efff3546.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757495874341-877b209a8dd708f2.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757497751961-62a4a746ffb7d92a.jpeg\"'\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757497751962-8264b2f46aeac8b4.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757499882365-234e90325d589de6.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757499882367-f956a3cf2e42cc2e.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757502445782-c4d339912dac6059.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757505674380-a846f28fd0ac4508.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757507025374-12d089344fa03c16.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757507025375-6d208dc15b1ffe3b.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757507025386-cd046b94df0f53d9.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757508627511-94d95f7bbb80de8a.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757508627511-b25862c0a7c41854.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757508627516-8e8d34b349402165.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757509935799-56e60e5d51f758f8.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757509935801-62f8a4e2e69af1fb.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757509935801-e3046c3165cb6a9a.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758174783708-6bab276d8a2b3207.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758175122464-bb8651e2ee2d0642.png\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758607532944-ac73972e2cdcdbfb.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758620243241-c0143b04ebeb03b2.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758705551545-37ea5c3b2ad1281f.jpeg\"'\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758705551547-58f19a494160e237.jpeg\"'\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758705551549-35d879317c8edbda.jpeg\"'\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758705551551-788c3a56eab050d8.jpeg\"'\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758708115716-31db7b2bcb6394ec.webp\"'\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758713537111-51daa54aa4442c6d.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758714944558-7c8147da421f3025.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758714944560-a72d3b85432ed5df.jpg\" '\n", " ' \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758714944562-d6e4bab26b0d4fef.jpg\" '\n", " 'Unknown']\n", "------------------------------\n", "Unique values in column 'maintenanceCharges':\n", "[' ' ' \"faded \" ' ' \"NA\" '\n", " 'Unknown']\n", "------------------------------\n", "Unique values in column 'createdAt':\n", "\n", "['NaT']\n", "Length: 1, dtype: datetime64[ns]\n", "------------------------------\n", "Unique values in column 'updatedAt':\n", "\n", "['NaT']\n", "Length: 1, dtype: datetime64[ns]\n", "------------------------------\n", "Unique values in column 'Address info':\n", "['Unknown, Unknown, 0.0'\n", " ' Babys school , Mumbai chembur , 411017.0'\n", " ' JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081.0'\n", " ' JBCN International School Parel , AVENUE 15 Ramesh Barrel Supplying Company K.T.Gupta Wadi S.P.Murai Rd behind Sewri Road Sewri W Maharashtra 400015 , 400015.0'\n", " ' Lodha Xperia Mall , 64C5+C63 Dombivli East Dombivli Maharashtra 421301 , 421201.0'\n", " ' sdfgb , asdfgh , 123456.0'\n", " ' LANDMARK , ADDRESS , 123456.0'\n", " ' sedrftgyhuj , awsedrftgyhujk , 123456.0'\n", " ' landmark , address , 828123.0'\n", " ' esrdfghbj , sdfghj , 123456.0']\n", "------------------------------\n", "Unique values in column 'Variant details':\n", "['1.0, 1.0, \"UNFURNISHED\" , 123.0, 11111111.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-1e5179453b5df91d.jpg\"\"]\" , \"jjhhhu\" '\n", " '0.0, 2.0, \"UNFURNISHED\" , 456.0, 22222222.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-7c8c73119cb2047b.jpg\"\"]\" , \"nbhjg\" '\n", " '12.0, 3.0, \"UNFURNISHED\" , 972.0, 120000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238541-c8a6e3aced460e18.jpg\"\"]\" , \"about property \" '\n", " '3.0, 2.0, \"UNFURNISHED\" , 188.73, 210000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757011238542-bd3d1a40c2d7fadb.jpg\"\"]\" , \"fsdaffdsafsfdddsa\" '\n", " '1.0, 1.0, \"UNFURNISHED\" , 426.57, 13000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391106-7c383f81d9c66290.jpg\"\"]\" , \"na\" '\n", " '1.0, 1.0, \"UNFURNISHED\" , 460.8, 15000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391150-9b806803ceb0c8b6.jpg\"\"]\" , \"na\" '\n", " '3.0, 2.0, \"UNFURNISHED\" , 893.08, 29000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391167-19d3844213de86cb.jpg\"\"]\" , \"na\" '\n", " '3.0, 2.0, \"UNFURNISHED\" , 918.27, 29000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391188-7b25319224e8a812.jpg\"\"]\" , \"na\" '\n", " '2.0, 2.0, \"UNFURNISHED\" , 804.6, 26000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391202-e4d28b891dcb832f.jpg\"\"]\" , \"na\" '\n", " '2.0, 2.0, \"UNFURNISHED\" , 1036.67, 33000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757322391218-4ca8b878a42de5ae.jpg\"\"]\" , \"na\" '\n", " '1.0, 1.0, \"UNFURNISHED\" , 443.37, 13000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757324645448-dbde48f7805f3bd0.jpg\"\"]\" , \"na\" '\n", " '2.0, 2.0, \"UNFURNISHED\" , 644.11, 19000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757324645449-b2f826d061804b98.jpg\"\"]\" , \"na\" '\n", " '3.0, 2.0, \"UNFURNISHED\" , 798.57, 23000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757324645451-d9b3e0a968cfc871.jpg\"\"]\" , \"na\" '\n", " '1.0, 1.0, \"UNFURNISHED\" , 379.0, 850000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757325712591-aa79bad30786e10c.jpg\"\"]\" , \"na\" '\n", " '1.0, 1.0, \"UNFURNISHED\" , 354.0, 790000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757325712594-cd33c56e7db9cd37.jpg\"\"]\" , \"na\" '\n", " '1.0, 0.0, \"UNFURNISHED\" , 391.0, 880000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757325712598-d2ac8b8887119ad8.jpg\"\"]\" , \"na\" '\n", " '2.0, 2.0, \"UNFURNISHED\" , 536.0, 12000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757325712607-8e031215d719e572.jpg\"\"]\" , \"na\" '\n", " '2.0, 2.0, \"UNFURNISHED\" , 650.0, 14000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757325712608-e94b60550c5c2690.jpg\"\"]\" , \"na\" '\n", " '1.0, 1.0, \"UNFURNISHED\" , 457.57, 12000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210665-ab087e966ba018ff.jpg\"\"]\" , \"na\" '\n", " '2.0, 2.0, \"UNFURNISHED\" , 652.83, 17000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210672-3f6998fafc9e8521.jpg\"\"]\" , \"na\" '\n", " '2.0, 2.0, \"UNFURNISHED\" , 728.5, 19000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210678-f61b2d8c4b4a4a50.jpg\"\"]\" , \"na\" '\n", " '3.0, 2.0, \"UNFURNISHED\" , 1240.22, 33000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210682-37e9e8c4f43b5b32.jpg\"\"]\" , \"na\" '\n", " '1.0, 0.0, \"UNFURNISHED\" , 416.56, 9890000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757401136186-23bdb16c58a9e122.jpg\"\"]\" , \"na\" '\n", " '1.0, 1.0, \"UNFURNISHED\" , 438.63, 14000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757401136187-7ce77cd129550d77.jpg\"\"]\" , \"na\" '\n", " '2.0, 2.0, \"UNFURNISHED\" , 653.15, 15000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757401136188-b404a27ba98528f4.jpg\"\"]\" , \"na\" '\n", " '1.0, nan, \"UNFURNISHED\" , 239.0, 5975000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757402417346-ede3eaf6864e2efa.jpg\"\"]\" , \"na\" '\n", " '1.0, nan, \"UNFURNISHED\" , 309.0, 7720000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757402417347-f5e0ac2f495d60e1.jpg\"\"]\" , \"na\" '\n", " '0.0, nan, \"UNFURNISHED\" , 634.0, 15000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757402417348-9bfc082c0bba270f.jpg\"\"]\" , '\n", " '2.0, 2.0, \"UNFURNISHED\" , 637.76, 8900000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757403866054-3b21d5295d1b7bce.jpg\"\"]\" , \"na\" '\n", " '2.0, 2.0, \"UNFURNISHED\" , 783.83, 10000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757403866054-19520d6cb5866f61.jpg\"\"]\" , \"na\" '\n", " '2.0, 0.0, \"UNFURNISHED\" , 719.46, 10000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757403866054-18d491c4116a4a1d.jpg\"\"]\" , \"na\" '\n", " '3.0, 2.0, \"UNFURNISHED\" , 1090.59, 15000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757403866055-12dde6891b923a80.jpg\"\"]\" , \"na\" '\n", " '1.0, 1.0, \"UNFURNISHED\" , 422.0, 4190000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757409672775-37d2dedeb898bfd3.jpg\"\"]\" , \"na\" '\n", " '2.0, 2.0, \"UNFURNISHED\" , 580.0, 5770000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757409672776-55a3d0d5d7d3bb44.jpg\"\"]\" , \"na\" '\n", " '2.0, 0.0, \"UNFURNISHED\" , 518.71, 17000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757411089520-1fd3665afc1a746a.jpg\"\"]\" , \"na\" '\n", " '2.0, 2.0, \"UNFURNISHED\" , 712.68, 24000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757411089524-f866cded7e572242.jpg\"\"]\" , \"na\" '\n", " '3.0, 0.0, \"UNFURNISHED\" , 1098.46, 37000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757411089525-9e16be48ea1c5dca.jpg\"\"]\" , \"na\" '\n", " '1.0, 1.0, \"UNFURNISHED\" , 425.39, 12000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757411900105-0cd46f586c660d51.jpg\"\"]\" , \"na\" '\n", " '2.0, 2.0, \"UNFURNISHED\" , 589.43, 17000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757411900106-3270032d1b3b29a6.jpg\"\"]\" , \"na\" '\n", " '1.0, 1.0, \"UNFURNISHED\" , 710.63, 21000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757411900108-5b7ad0636af0eef0.jpg\"\"]\" , \"na\" '\n", " '0.0, 2.0, \"UNFURNISHED\" , 835.0, 67000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757416263441-db4005e8699b54f5.jpg\"\"]\" , \"na\" '\n", " '3.0, 2.0, \"UNFURNISHED\" , 1064.0, 86000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757416263443-efccc3b7b11a9cf6.jpg\"\"]\" , \"na\" '\n", " '3.0, 2.0, \"UNFURNISHED\" , 1185.0, 96000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757416263445-61ad0a336e5cd7e8.jpg\"\"]\" , \"na\" '\n", " '1.0, 1.0, \"UNFURNISHED\" , 269.1, 5649000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757486991482-830ba2f79d951b2a.jpg\"\"]\" , \"NA\" '\n", " '2.0, 2.0, \"UNFURNISHED\" , 685.0, 14300000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757486991494-9ac904a02c4e153c.jpg\"\"]\" , \"NA\" '\n", " '2.0, 1.0, \"UNFURNISHED\" , 900.0, 18900000.0, \"[]\" , \"NA\" '\n", " '3.0, 2.0, \"UNFURNISHED\" , 1095.0, 22900000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757486991505-2373b8e162de669f.jpg\"\"]\" , \"NA\" '\n", " '4.0, 2.0, \"UNFURNISHED\" , 2650.0, 55800000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757488967185-54cee65e85919c06.jpg\"\"]\" , \"NA\" '\n", " '3.0, 2.0, \"UNFURNISHED\" , 1065.0, 25400000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757495874342-f91c6d45130b2367.jpg\"\"]\" , \"NA\" '\n", " '1.0, 1.0, \"UNFURNISHED\" , 450.0, 7499000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757497751961-e4b9f6b35ff84fc4.jpg\"\"]\" , \"NA\" '\n", " '2.0, 2.0, \"UNFURNISHED\" , 850.0, 14100000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757497751962-181b9fb00f69e030.jpg\"\"]\" , \"NA\" '\n", " '2.0, 1.0, \"UNFURNISHED\" , 774.0, 13600000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757499882366-5ff9be2083ac3230.jpg\"\"]\" , \"NA\" '\n", " '3.0, 2.0, \"UNFURNISHED\" , 1044.0, 13900000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757499882368-39d519773fe47182.jpg\"\"]\" , \"NA\" '\n", " '2.0, 1.0, \"UNFURNISHED\" , 912.0, 66800000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757502445783-07ddd86f8b94a188.jpg\"\"]\" , \"NA\" '\n", " '0.0, 0.0, \"UNFURNISHED\" , 805.0, 49000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757505674385-88d968255a68bec4.jpg\"\"]\" , \"NA\" '\n", " '2.0, 1.0, \"UNFURNISHED\" , 719.0, 7916000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757507025374-6b9222f0e2694408.jpg\"\"]\" , \"NA\" '\n", " '3.0, 2.0, \"UNFURNISHED\" , 954.0, 9900000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757507025385-aedb0110dffa5f27.jpg\"\"]\" , \"NA\" '\n", " '3.0, 2.0, \"UNFURNISHED\" , 973.0, 11000000.0, \"[]\" , \"NA\" '\n", " '2.0, 1.0, \"UNFURNISHED\" , 767.0, 784300000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757508627511-f415324344fe391c.jpg\"\"]\" , \"NA\" '\n", " '2.0, 1.0, \"UNFURNISHED\" , 786.0, 8037000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757508627515-f85803015d61e3d3.jpg\"\"]\" , \"NA\" '\n", " '3.0, 2.0, \"UNFURNISHED\" , 1017.0, 13900000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757508627516-8162911bdda309f0.jpg\"\"]\" , \"NA\" '\n", " '1.0, 4.0, \"UNFURNISHED\" , 880.0, 8409000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757509935800-7ec66eb73cfad6b5.jpg\"\"]\" , \"NA\" '\n", " '2.0, 1.0, \"UNFURNISHED\" , 921.0, 8885000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757509935801-4a6e51cf542453de.jpg\"\"]\" , \"NA\" '\n", " '3.0, 2.0, \"UNFURNISHED\" , 1048.0, 11000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757509935802-e9fd330d696b020e.jpg\"\"]\" , \"NA\" '\n", " '8.0, 8.0, \"UNFURNISHED\" , 9.79, 10088000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758174623697-27c4f71a991e078c.jpg\"\"]\" , \"asdfghjk\" '\n", " '10.0, 2.0, \"UNFURNISHED\" , 3.0, 120000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758175122464-0dead4f474b5ccbc.jpg\"\"]\" , \"about property\" '\n", " '1.0, 2.0, \"UNFURNISHED\" , 122.0, 10000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758450157414-15c5ef82cad99022.jpg\"\"]\" , \"ABOUT PROPERTY \" '\n", " '99.0, 88.0, \"UNFURNISHED\" , 69.0, 960000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758607532944-e10a4f6be6b3cc76.jpg\"\"]\" , \"described huh ...?\" '\n", " '10.0, 12.0, \"UNFURNISHED\" , 2.0, 30000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758620243242-5810bb1b43a5db87.webp\"\"]\" , \"about property\" '\n", " '1.0, 1.0, \"UNFURNISHED\" , 413.23, 10900000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758705551546-edea4e482b14fe41.jpg\"\"]\" , \"Na\" '\n", " '2.0, 2.0, \"UNFURNISHED\" , 705.14, 18700000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758705551548-68b2c475624ac9aa.jpg\"\"]\" , \"Na\" '\n", " '2.0, 2.0, \"UNFURNISHED\" , 646.91, 17200000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758705551550-8dd99bd7e0de26db.jpg\"\"]\" , \"Na\" '\n", " '3.0, 3.0, \"UNFURNISHED\" , 901.26, 23900000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758705551551-635af274c30c9045.jpg\"\"]\" , \"NA\" '\n", " '9.0, 9.0, \"UNFURNISHED\" , 7.0, 80000000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758708115716-b28e6ee1732f2e2b.webp\"\"]\" , \"sdfghjn\" '\n", " '1.0, 1.0, \"UNFURNISHED\" , 331.85, 7944000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758713537116-09ebbf05ef9abbaa.jpg\"\"]\" , \"1 RK APARTMENTS\" '\n", " '1.0, 1.0, \"UNFURNISHED\" , 396.97, 10700000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758714944560-7c164d7b1cc645f7.jpg\"\"]\" , \"NA\" '\n", " '2.0, 4.0, \"UNFURNISHED\" , 568.98, 15300000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758714944561-7778f9768558b3c0.jpg\"\"]\" , \"NA\" '\n", " '2.0, 2.0, \"UNFURNISHED\" , 619.89, 16700000.0, \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1758714944562-e50632ef4ec31e1b.jpg\"\"]\" , \"NA\" '\n", " 'nan, nan, Unknown, nan, nan, Unknown, Unknown']\n", "------------------------------\n", "Unique values in column 'Configuration info':\n", "['Unknown, Unknown, Unknown' 'RESIDENTIAL, 1BHK, ' 'RESIDENTIAL, 2BHK, '\n", " 'RESIDENTIAL, 2BHK, 2BHK' 'RESIDENTIAL, 1BHK, 1BHK'\n", " 'RESIDENTIAL, 3BHK, 3BHK' 'COMMERCIAL, Office, Office'\n", " 'RESIDENTIAL, Office space, ' 'RESIDENTIAL, 4.5BHK, Custom'\n", " 'RESIDENTIAL, 3BHK, ' 'RESIDENTIAL, 5BHK, ' 'RESIDENTIAL, 4BHK, 4BHK'\n", " 'RESIDENTIAL, 4.5BHK, ' 'RESIDENTIAL, House_Villa, House_Villa'\n", " 'RESIDENTIAL, 1RK, ']\n", "------------------------------\n", "Unique values in column 'Title':\n", "['Unknown - Unknown'\n", " ' Ashwini - RESIDENTIAL'\n", " ' Pristine02 - RESIDENTIAL'\n", " ' Gurukripa - RESIDENTIAL'\n", " ' Hari om - RESIDENTIAL'\n", " ' Om makarand heights - RESIDENTIAL'\n", " ' Sainath Vrindavan - RESIDENTIAL'\n", " ' Avenue 15 - RESIDENTIAL'\n", " ' Swaroop Aditya Avenue - COMMERCIAL'\n", " ' Marigold miraaya - RESIDENTIAL'\n", " ' Balaji Kanha - RESIDENTIAL'\n", " ' Bhoomi antara - RESIDENTIAL'\n", " ' Arkade Prime - BOTH'\n", " ' Glory - RESIDENTIAL'\n", " ' 16 Lakaki - RESIDENTIAL'\n", " ' Dinmanee - RESIDENTIAL'\n", " ' Zoa Building - 2 Wing A - RESIDENTIAL'\n", " ' Midori Towers - RESIDENTIAL'\n", " ' Kedar Residency - RESIDENTIAL'\n", " ' Sonai Clara - RESIDENTIAL'\n", " ' Santiago Skytown - RESIDENTIAL'\n", " ' The silver altair - RESIDENTIAL'\n", " ' testing - RESIDENTIAL'\n", " ' testring999 - RESIDENTIAL']\n", "------------------------------\n", "Unique values in column 'Possession Status':\n", "['Unknown - NaT' 'UNDER_CONSTRUCTION - 2025-09-28' 'READY_TO_MOVE - NaT'\n", " 'UNDER_CONSTRUCTION - NaT' 'UNDER_CONSTRUCTION - 2025-09-21'\n", " 'UNDER_CONSTRUCTION - 2025-09-25']\n", "------------------------------\n" ] } ] }, { "cell_type": "code", "source": [ "final_merged_df.to_csv('final_merged_data1.csv', index=False)" ], "metadata": { "id": "8o_jzgA4GM6l" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [], "metadata": { "id": "_oFDn_wRGSJO" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "3d30aff2" }, "source": [ "# Task\n", "Clean the `final_merged_df` DataFrame by converting the 'price' column to numeric and formatting it as 'price_in_cr', dropping the original 'price' column, ensuring the 'possessionDate' column is a proper datetime object, and combining various columns into new, consolidated columns: 'Address info', 'Configuration info', 'Title', 'Possession Status', and 'Variant details'. Finally, drop the original columns that were merged into the new columns." ] }, { "cell_type": "markdown", "metadata": { "id": "11e4dc10" }, "source": [ "## Combine address information\n", "\n", "### Subtask:\n", "Combine the 'landmark', 'fullAddress', and 'pincode' columns into a single 'Address info' column and drop the original columns.\n" ] }, { "cell_type": "markdown", "metadata": { "id": "ae8efd30" }, "source": [ "**Reasoning**:\n", "Combine the address-related columns into a new 'Address info' column and then drop the original columns, displaying the head of the updated dataframe to verify.\n", "\n" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 547 }, "id": "5fe14fc0", "outputId": "6147a3c1-25c5-4e28-9930-a147ccc3dc92" }, "source": [ "final_merged_df['Address info'] = final_merged_df['landmark'].astype(str) + ', ' + \\\n", " final_merged_df['fullAddress'].astype(str) + ', ' + \\\n", " final_merged_df['pincode'].astype(str)\n", "\n", "# Drop the original address columns\n", "final_merged_df = final_merged_df.drop(columns=['landmark', 'fullAddress', 'pincode'])\n", "\n", "display(final_merged_df[['Address info']].head())" ], "execution_count": null, "outputs": [ { "output_type": "error", "ename": "KeyError", "evalue": "'landmark'", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m/usr/local/lib/python3.12/dist-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 3804\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3805\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcasted_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3806\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32mindex.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", "\u001b[0;32mindex.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", "\u001b[0;31mKeyError\u001b[0m: 'landmark'", "\nThe above exception was the direct cause of the following exception:\n", "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m/tmp/ipython-input-750117336.py\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mfinal_merged_df\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Address info'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfinal_merged_df\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'landmark'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m', '\u001b[0m \u001b[0;34m+\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m\\\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mfinal_merged_df\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'fullAddress'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m', '\u001b[0m \u001b[0;34m+\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m\\\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mfinal_merged_df\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'pincode'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;31m# Drop the original address columns\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m/usr/local/lib/python3.12/dist-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 4100\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnlevels\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4101\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 4102\u001b[0;31m \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4103\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mis_integer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4104\u001b[0m \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mindexer\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m/usr/local/lib/python3.12/dist-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 3810\u001b[0m ):\n\u001b[1;32m 3811\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mInvalidIndexError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3812\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3813\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mTypeError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3814\u001b[0m \u001b[0;31m# If we have a listlike key, _check_indexing_error will raise\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mKeyError\u001b[0m: 'landmark'" ] } ] }, { "cell_type": "markdown", "metadata": { "id": "cd430c9d" }, "source": [ "**Reasoning**:\n", "The previous attempt failed because the 'landmark', 'fullAddress', and 'pincode' columns were already dropped in a previous step. I need to check the existing columns in `final_merged_df` and proceed with the subtask using the available columns. I will print the column names to confirm which columns are available.\n", "\n" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "0uQaf0WUbems", "outputId": "387491c3-e53c-4099-c742-f2f9cc4938a7" }, "source": [ "print(final_merged_df.columns)" ], "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Index(['projectType', 'projectName', 'projectCategory', 'slug', 'status',\n", " 'projectAge', 'projectSummary', 'possessionDate', 'propertyCategory',\n", " 'type', 'customBHK', 'bathrooms', 'privateBathrooms', 'publicBathrooms',\n", " 'balcony', 'furnishedType', 'furnishingType', 'lift', 'ageOfProperty',\n", " 'parkingType', 'listingType', 'floorPlanImage', 'carpetArea',\n", " 'propertyImages', 'maintenanceCharges', 'aboutProperty', 'createdAt',\n", " 'updatedAt', 'Address info', 'price_in_cr'],\n", " dtype='object')\n" ] } ] }, { "cell_type": "markdown", "metadata": { "id": "b2eea89b" }, "source": [ "**Reasoning**:\n", "Based on the printed column names, the 'landmark', 'fullAddress', and 'pincode' columns have already been combined into 'Address info' and dropped. The subtask of creating the 'Address info' column and dropping the original columns is complete. I will now proceed to the next part of the main task which involves creating the 'Configuration info' column.\n", "\n" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 206 }, "id": "3622b545", "outputId": "cfa77764-ee33-4d26-ff83-07f840855ba6" }, "source": [ "final_merged_df['Configuration info'] = final_merged_df['propertyCategory'].astype(str) + ', ' + \\\n", " final_merged_df['type'].astype(str) + ', ' + \\\n", " final_merged_df['customBHK'].astype(str)\n", "\n", "# Drop the original configuration columns\n", "final_merged_df = final_merged_df.drop(columns=['propertyCategory', 'type', 'customBHK'])\n", "\n", "display(final_merged_df[['Configuration info']].head())" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " Configuration info\n", "0 RESIDENTIAL , 1BHK , \n", "1 RESIDENTIAL , 2BHK , \n", "2 RESIDENTIAL , 1BHK , 1BHK\n", "3 RESIDENTIAL , 2BHK , 2BHK\n", "4 RESIDENTIAL , 2BHK , 2BHK" ], "text/html": [ "\n", "
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Configuration info
0RESIDENTIAL , 1BHK ,
1RESIDENTIAL , 2BHK ,
2RESIDENTIAL , 1BHK , 1BHK
3RESIDENTIAL , 2BHK , 2BHK
4RESIDENTIAL , 2BHK , 2BHK
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"display(final_merged_df[['Configuration info']]\",\n \"rows\": 5,\n \"fields\": [\n {\n \"column\": \"Configuration info\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 4,\n \"samples\": [\n \" RESIDENTIAL , 2BHK , \",\n \" RESIDENTIAL , 2BHK , 2BHK\",\n \" RESIDENTIAL , 1BHK , \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {} } ] }, { "cell_type": "markdown", "metadata": { "id": "f051e1a1" }, "source": [ "**Reasoning**:\n", "I have completed creating the 'Address info' and 'Configuration info' columns. The next step is to create the 'Title' column by combining 'projectName' and 'projectType' and then dropping the original columns.\n", "\n" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 206 }, "id": "141a51a0", "outputId": "e2f57a45-4666-431b-ff90-9a9d93c63858" }, "source": [ "final_merged_df['Title'] = final_merged_df['projectName'].astype(str) + ' - ' + final_merged_df['projectType'].astype(str)\n", "\n", "# Drop the original columns\n", "final_merged_df = final_merged_df.drop(columns=['projectName', 'projectType'])\n", "\n", "display(final_merged_df[['Title']].head())" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " Title\n", "0 Ashwini - RESIDENTIAL\n", "1 Ashwini - RESIDENTIAL\n", "2 Sainath Vrindavan - RESIDENTIAL\n", "3 Sainath Vrindavan - RESIDENTIAL\n", "4 Sainath Vrindavan - RESIDENTIAL" ], "text/html": [ "\n", "
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Title
0Ashwini - RESIDENTIAL
1Ashwini - RESIDENTIAL
2Sainath Vrindavan - RESIDENTIAL
3Sainath Vrindavan - RESIDENTIAL
4Sainath Vrindavan - RESIDENTIAL
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"display(final_merged_df[['Possession Status']]\",\n \"rows\": 5,\n \"fields\": [\n {\n \"column\": \"Possession Status\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n \" UNDER_CONSTRUCTION - \",\n \" UNDER_CONSTRUCTION - 2025-09-28 00:00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {} } ] }, { "cell_type": "markdown", "metadata": { "id": "5c9b0303" }, "source": [ "**Reasoning**:\n", "I have created the 'Address info', 'Configuration info', 'Title', and 'Possession Status' columns. The final step in this subtask is to create the 'Variant details' column by combining the relevant columns and dropping the originals.\n", "\n" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 379 }, "id": "a52ee3f5", "outputId": "a46c3791-c1dd-463c-df61-7d65bf542413" }, "source": [ "final_merged_df['Variant details'] = final_merged_df['bathrooms'].astype(str) + ', ' + \\\n", " final_merged_df['privateBathrooms'].astype(str) + ', ' + \\\n", " final_merged_df['publicBathrooms'].astype(str) + ', ' + \\\n", " final_merged_df['balcony'].astype(str) + ', ' + \\\n", " final_merged_df['furnishedType'].astype(str) + ', ' + \\\n", " final_merged_df['furnishingType'].astype(str) + ', ' + \\\n", " final_merged_df['lift'].astype(str) + ', ' + \\\n", " final_merged_df['ageOfProperty'].astype(str) + ', ' + \\\n", " final_merged_df['parkingType'].astype(str) + ', ' + \\\n", " final_merged_df['listingType'].astype(str) + ', ' + \\\n", " final_merged_df['floorPlanImage'].astype(str) + ', ' + \\\n", " final_merged_df['carpetArea'].astype(str) + ', ' + \\\n", " final_merged_df['propertyImages'].astype(str) + ', ' + \\\n", " final_merged_df['maintenanceCharges'].astype(str) + ', ' + \\\n", " final_merged_df['aboutProperty'].astype(str) + ', ' + \\\n", " final_merged_df['price_in_cr'].astype(str)\n", "\n", "\n", "# Drop the original variant columns\n", "final_merged_df = final_merged_df.drop(columns=['bathrooms', 'privateBathrooms', 'publicBathrooms', 'balcony', 'furnishedType', 'furnishingType', 'lift', 'ageOfProperty', 'parkingType', 'listingType', 'floorPlanImage', 'carpetArea', 'propertyImages', 'maintenanceCharges', 'aboutProperty', 'price_in_cr'])\n", "\n", "display(final_merged_df[['Variant details']].head())" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " Variant details\n", "0 \"1\" , , , \"1\" , \"UNFURNISHED\" , \"[]\" , \"false\", , , \"Sell\" , \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757584023815-67012c27580e3e23.jpg\" , \"123\" , \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-1e5179453b5df91d.jpg\"\"]\" , , \"jjhhhu\" , 1.1111111\n", "1 \"0\" , , , \"2\" , \"UNFURNISHED\" , \"[]\" , \"false\", , , \"Sell\" , \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-419924a4c5c28823.jpg\" , \"456\" , \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-7c8c73119cb2047b.jpg\"\"]\" , , \"nbhjg\" , 2.2222222\n", "2 \"1\" , , , \"1\" , \"UNFURNISHED\" , \"[]\" , \"false\", , , \"Sell\" , \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210633-ec5431f188d4de3c.jpg\" , \"457.57\" , \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210665-ab087e966ba018ff.jpg\"\"]\" , , \"na\" , 1.2\n", "3 \"2\" , , , \"2\" , \"UNFURNISHED\" , \"[]\" , \"false\", , , \"Sell\" , \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210671-c54804f690eac296.jpg\" , \"652.83\" , \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210672-3f6998fafc9e8521.jpg\"\"]\" , , \"na\" , 1.7\n", "4 \"2\" , , , \"2\" , \"UNFURNISHED\" , \"[]\" , \"false\", , , \"Sell\" , \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210675-be2512dbfae0b3f7.jpg\" , \"728.5\" , \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210678-f61b2d8c4b4a4a50.jpg\"\"]\" , , \"na\" , 1.9" ], "text/html": [ "\n", "
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Variant details
0\"1\" , , , \"1\" , \"UNFURNISHED\" , \"[]\" , \"false\", , , \"Sell\" , \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757584023815-67012c27580e3e23.jpg\" , \"123\" , \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-1e5179453b5df91d.jpg\"\"]\" , , \"jjhhhu\" , 1.1111111
1\"0\" , , , \"2\" , \"UNFURNISHED\" , \"[]\" , \"false\", , , \"Sell\" , \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-419924a4c5c28823.jpg\" , \"456\" , \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-7c8c73119cb2047b.jpg\"\"]\" , , \"nbhjg\" , 2.2222222
2\"1\" , , , \"1\" , \"UNFURNISHED\" , \"[]\" , \"false\", , , \"Sell\" , \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210633-ec5431f188d4de3c.jpg\" , \"457.57\" , \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210665-ab087e966ba018ff.jpg\"\"]\" , , \"na\" , 1.2
3\"2\" , , , \"2\" , \"UNFURNISHED\" , \"[]\" , \"false\", , , \"Sell\" , \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210671-c54804f690eac296.jpg\" , \"652.83\" , \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210672-3f6998fafc9e8521.jpg\"\"]\" , , \"na\" , 1.7
4\"2\" , , , \"2\" , \"UNFURNISHED\" , \"[]\" , \"false\", , , \"Sell\" , \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210675-be2512dbfae0b3f7.jpg\" , \"728.5\" , \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210678-f61b2d8c4b4a4a50.jpg\"\"]\" , , \"na\" , 1.9
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"display(final_merged_df[['Variant details']]\",\n \"rows\": 5,\n \"fields\": [\n {\n \"column\": \"Variant details\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \" \\\"0\\\" , , , \\\"2\\\" , \\\"UNFURNISHED\\\" , \\\"[]\\\" , \\\"false\\\", , , \\\"Sell\\\" , \\\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-419924a4c5c28823.jpg\\\" , \\\"456\\\" , \\\"[\\\"\\\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-7c8c73119cb2047b.jpg\\\"\\\"]\\\" , , \\\"nbhjg\\\" , 2.2222222\",\n \" \\\"2\\\" , , , \\\"2\\\" , \\\"UNFURNISHED\\\" , \\\"[]\\\" , \\\"false\\\", , , \\\"Sell\\\" , \\\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210675-be2512dbfae0b3f7.jpg\\\" , \\\"728.5\\\" , \\\"[\\\"\\\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210678-f61b2d8c4b4a4a50.jpg\\\"\\\"]\\\" , , \\\"na\\\" , 1.9\",\n \" \\\"1\\\" , , , \\\"1\\\" , \\\"UNFURNISHED\\\" , \\\"[]\\\" , \\\"false\\\", , , \\\"Sell\\\" , \\\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210633-ec5431f188d4de3c.jpg\\\" , \\\"457.57\\\" , \\\"[\\\"\\\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210665-ab087e966ba018ff.jpg\\\"\\\"]\\\" , , \\\"na\\\" , 1.2\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {} } ] }, { "cell_type": "markdown", "metadata": { "id": "22247094" }, "source": [ "## Drop unnecessary columns\n", "\n", "### Subtask:\n", "Drop the columns listed by the user that are no longer needed after merging and creating new features.\n" ] }, { "cell_type": "markdown", "metadata": { "id": "8fb137af" }, "source": [ "**Reasoning**:\n", "Drop the specified columns from the dataframe and print the shape to confirm.\n", "\n" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "1395078e", "outputId": "944176df-0ee1-4522-d7a6-0848d5b2fc3e" }, "source": [ "# Define a list columns_to_drop containing the names of the columns to be dropped\n", "columns_to_drop = ['slugId', 'reraId', 'countryId', 'stateId', 'cityId', 'localityId', 'subLocalityId']\n", "\n", "# Identify the columns in columns_to_drop that are actually present in the final_merged_df DataFrame\n", "existing_columns_to_drop = [col for col in columns_to_drop if col in final_merged_df.columns]\n", "\n", "# Drop the identified existing columns from final_merged_df\n", "final_merged_df = final_merged_df.drop(columns=existing_columns_to_drop)\n", "\n", "# Print the shape of the final_merged_df after dropping the columns to verify the change\n", "print(\"Shape of the final merged dataframe after dropping columns:\", final_merged_df.shape)" ], "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Shape of the final merged dataframe after dropping columns: (14, 11)\n" ] } ] }, { "cell_type": "markdown", "metadata": { "id": "d2267937" }, "source": [ "## Inspect the final data\n", "\n", "### Subtask:\n", "Display the head and columns of the final dataframe to verify the changes.\n" ] }, { "cell_type": "markdown", "metadata": { "id": "058af566" }, "source": [ "**Reasoning**:\n", "Display the head and columns of the final dataframe to verify the changes.\n", "\n" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "id": "3c808abd", "outputId": "7c383a2f-7096-49e5-9e5b-c92428cd94fc" }, "source": [ "display(final_merged_df.head())\n", "print(final_merged_df.columns)" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " projectCategory \\\n", "0 STANDALONE \n", "1 STANDALONE \n", "2 STANDALONE \n", "3 STANDALONE \n", "4 STANDALONE \n", "\n", " slug projectAge \\\n", "0 luxury-ashwini-ashoknagar-chembur-mumbai-675058 \n", "1 luxury-ashwini-ashoknagar-chembur-mumbai-675058 \n", "2 luxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861 \n", "3 luxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861 \n", "4 luxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861 \n", "\n", " projectSummary \\\n", "0 \n", "1 \n", "2 \n", "3 \n", "4 \n", "\n", " createdAt updatedAt \\\n", "0 \"2025-09-11 10:07:21.386\" \"2025-09-11 10:07:21.386\" \n", "1 \"2025-09-11 10:07:26.152\" \"2025-09-11 10:07:26.152\" \n", "2 \"2025-09-09 06:43:37.112\" \"2025-09-09 06:43:37.112\" \n", "3 \"2025-09-09 06:43:37.112\" \"2025-09-09 06:43:37.112\" \n", "4 \"2025-09-09 06:43:37.112\" \"2025-09-09 06:43:37.112\" \n", "\n", " Address info \\\n", "0 Babys school , Mumbai chembur , 411017 \n", "1 Babys school , Mumbai chembur , 411017 \n", "2 JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081 \n", "3 JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081 \n", "4 JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081 \n", "\n", " Configuration info \\\n", "0 RESIDENTIAL , 1BHK , \n", "1 RESIDENTIAL , 2BHK , \n", "2 RESIDENTIAL , 1BHK , 1BHK \n", "3 RESIDENTIAL , 2BHK , 2BHK \n", "4 RESIDENTIAL , 2BHK , 2BHK \n", "\n", " Title \\\n", "0 Ashwini - RESIDENTIAL \n", "1 Ashwini - RESIDENTIAL \n", "2 Sainath Vrindavan - RESIDENTIAL \n", "3 Sainath Vrindavan - RESIDENTIAL \n", "4 Sainath Vrindavan - RESIDENTIAL \n", "\n", " Possession Status \\\n", "0 UNDER_CONSTRUCTION - 2025-09-28 00:00:00 \n", "1 UNDER_CONSTRUCTION - 2025-09-28 00:00:00 \n", "2 UNDER_CONSTRUCTION - \n", "3 UNDER_CONSTRUCTION - \n", "4 UNDER_CONSTRUCTION - \n", "\n", " Variant details \n", "0 \"1\" , , , \"1\" , \"UNFURNISHED\" , \"[]\" , \"false\", , , \"Sell\" , \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757584023815-67012c27580e3e23.jpg\" , \"123\" , \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-1e5179453b5df91d.jpg\"\"]\" , , \"jjhhhu\" , 1.1111111 \n", "1 \"0\" , , , \"2\" , \"UNFURNISHED\" , \"[]\" , \"false\", , , \"Sell\" , \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-419924a4c5c28823.jpg\" , \"456\" , \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-7c8c73119cb2047b.jpg\"\"]\" , , \"nbhjg\" , 2.2222222 \n", "2 \"1\" , , , \"1\" , \"UNFURNISHED\" , \"[]\" , \"false\", , , \"Sell\" , \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210633-ec5431f188d4de3c.jpg\" , \"457.57\" , \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210665-ab087e966ba018ff.jpg\"\"]\" , , \"na\" , 1.2 \n", "3 \"2\" , , , \"2\" , \"UNFURNISHED\" , \"[]\" , \"false\", , , \"Sell\" , \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210671-c54804f690eac296.jpg\" , \"652.83\" , \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210672-3f6998fafc9e8521.jpg\"\"]\" , , \"na\" , 1.7 \n", "4 \"2\" , , , \"2\" , \"UNFURNISHED\" , \"[]\" , \"false\", , , \"Sell\" , \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210675-be2512dbfae0b3f7.jpg\" , \"728.5\" , \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210678-f61b2d8c4b4a4a50.jpg\"\"]\" , , \"na\" , 1.9 " ], "text/html": [ "\n", "
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projectCategoryslugprojectAgeprojectSummarycreatedAtupdatedAtAddress infoConfiguration infoTitlePossession StatusVariant details
0STANDALONEluxury-ashwini-ashoknagar-chembur-mumbai-675058\"2025-09-11 10:07:21.386\"\"2025-09-11 10:07:21.386\"Babys school , Mumbai chembur , 411017RESIDENTIAL , 1BHK ,Ashwini - RESIDENTIALUNDER_CONSTRUCTION - 2025-09-28 00:00:00\"1\" , , , \"1\" , \"UNFURNISHED\" , \"[]\" , \"false\", , , \"Sell\" , \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757584023815-67012c27580e3e23.jpg\" , \"123\" , \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-1e5179453b5df91d.jpg\"\"]\" , , \"jjhhhu\" , 1.1111111
1STANDALONEluxury-ashwini-ashoknagar-chembur-mumbai-675058\"2025-09-11 10:07:26.152\"\"2025-09-11 10:07:26.152\"Babys school , Mumbai chembur , 411017RESIDENTIAL , 2BHK ,Ashwini - RESIDENTIALUNDER_CONSTRUCTION - 2025-09-28 00:00:00\"0\" , , , \"2\" , \"UNFURNISHED\" , \"[]\" , \"false\", , , \"Sell\" , \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-419924a4c5c28823.jpg\" , \"456\" , \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-7c8c73119cb2047b.jpg\"\"]\" , , \"nbhjg\" , 2.2222222
2STANDALONEluxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861\"2025-09-09 06:43:37.112\"\"2025-09-09 06:43:37.112\"JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081RESIDENTIAL , 1BHK , 1BHKSainath Vrindavan - RESIDENTIALUNDER_CONSTRUCTION -\"1\" , , , \"1\" , \"UNFURNISHED\" , \"[]\" , \"false\", , , \"Sell\" , \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210633-ec5431f188d4de3c.jpg\" , \"457.57\" , \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210665-ab087e966ba018ff.jpg\"\"]\" , , \"na\" , 1.2
3STANDALONEluxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861\"2025-09-09 06:43:37.112\"\"2025-09-09 06:43:37.112\"JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081RESIDENTIAL , 2BHK , 2BHKSainath Vrindavan - RESIDENTIALUNDER_CONSTRUCTION -\"2\" , , , \"2\" , \"UNFURNISHED\" , \"[]\" , \"false\", , , \"Sell\" , \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210671-c54804f690eac296.jpg\" , \"652.83\" , \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210672-3f6998fafc9e8521.jpg\"\"]\" , , \"na\" , 1.7
4STANDALONEluxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861\"2025-09-09 06:43:37.112\"\"2025-09-09 06:43:37.112\"JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081RESIDENTIAL , 2BHK , 2BHKSainath Vrindavan - RESIDENTIALUNDER_CONSTRUCTION -\"2\" , , , \"2\" , \"UNFURNISHED\" , \"[]\" , \"false\", , , \"Sell\" , \"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210675-be2512dbfae0b3f7.jpg\" , \"728.5\" , \"[\"\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1757400210678-f61b2d8c4b4a4a50.jpg\"\"]\" , , \"na\" , 1.9
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"print(final_merged_df\",\n \"rows\": 5,\n \"fields\": [\n {\n \"column\": \"projectCategory\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \" STANDALONE \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"slug\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n \" luxury-sainath-vrindavan-ashoknagar-chembur-mumbai-216861\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"projectAge\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \" \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"projectSummary\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \" \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"createdAt\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 3,\n \"samples\": [\n \" \\\"2025-09-11 10:07:21.386\\\"\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"updatedAt\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 3,\n \"samples\": [\n \" \\\"2025-09-11 10:07:21.386\\\"\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Address info\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n \" JBCN International School Mulund , Prataprao Gujar Rd Neelam Nagar Mulund East Mumbai Maharashtra 400081 , 400081\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Configuration info\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 4,\n \"samples\": [\n \" RESIDENTIAL , 2BHK , \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Title\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n \" Sainath Vrindavan - RESIDENTIAL\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Possession Status\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n \" UNDER_CONSTRUCTION - \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Variant details\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \" \\\"0\\\" , , , \\\"2\\\" , \\\"UNFURNISHED\\\" , \\\"[]\\\" , \\\"false\\\", , , \\\"Sell\\\" , \\\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-419924a4c5c28823.jpg\\\" , \\\"456\\\" , \\\"[\\\"\\\"https://pub-d28896f69c604ec5aa743cb0397740d9.r2.dev/1756971672464-7c8c73119cb2047b.jpg\\\"\\\"]\\\" , , \\\"nbhjg\\\" , 2.2222222\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "Index(['projectCategory', 'slug', 'projectAge', 'projectSummary', 'createdAt',\n", " 'updatedAt', 'Address info', 'Configuration info', 'Title',\n", " 'Possession Status', 'Variant details'],\n", " dtype='object')\n" ] } ] }, { "cell_type": "markdown", "metadata": { "id": "14ddb991" }, "source": [ "## Summary:\n", "\n", "### Data Analysis Key Findings\n", "\n", "* The 'price' column was successfully converted to a numeric format and renamed to 'price\\_in\\_cr'. The original 'price' column was dropped.\n", "* Address information ('landmark', 'fullAddress', and 'pincode') was combined into a single 'Address info' column.\n", "* Configuration details ('propertyCategory', 'type', and 'customBHK') were merged into a 'Configuration info' column.\n", "* Project name and type ('projectName' and 'projectType') were combined into a 'Title' column.\n", "* Possession status and date ('status' and 'possessionDate') were consolidated into a 'Possession Status' column.\n", "* Various property details including bathrooms, balcony, furnishing, lift, age, parking, listing type, images, area, charges, and about property were combined into a 'Variant details' column.\n", "* Several original columns ('slugId', 'reraId', 'countryId', 'stateId', 'cityId', 'localityId', 'subLocalityId', 'propertyCategory', 'type', 'customBHK', 'projectName', 'projectType', 'status', 'possessionDate', 'bathrooms', 'privateBathrooms', 'publicBathrooms', 'balcony', 'furnishedType', 'furnishingType', 'lift', 'ageOfProperty', 'parkingType', 'listingType', 'floorPlanImage', 'carpetArea', 'propertyImages', 'maintenanceCharges', 'aboutProperty', 'price\\_in\\_cr') were successfully dropped after their information was consolidated into new columns.\n", "* The final DataFrame has 11 columns.\n", "\n", "### Insights or Next Steps\n", "\n", "* The data is now highly consolidated, with key property information grouped into descriptive columns. This structure is more suitable for high-level analysis or display.\n", "* Consider if the 'Variant details' column is too broad; splitting it into more granular consolidated columns (e.g., 'Property Features', 'Area & Price Details') might be beneficial for certain types of analysis that require easier access to specific details.\n" ] } ] }