From 4c2887371a3579253659a657f830f2a45b64f878 Mon Sep 17 00:00:00 2001 From: radmirkaz <69034231+radmirkaz@users.noreply.github.com> Date: Sat, 18 Feb 2023 23:31:41 -0800 Subject: [PATCH] Add files via upload --- ..._krasnodar_18_Feb_2023_03_00_53_912228.csv | 1381 ++++++++++ ..._krasnodar_17_Feb_2023_16_32_25_653503.csv | 133 + krasnodar_data.ipynb | 2404 +++++++++++++++++ krasnodar_vtorichka.ipynb | 1116 ++++++++ merged_stats_final.csv | 154 ++ model_pervichka.pkl | Bin 0 -> 267413 bytes models_vtorichka.pkl | Bin 0 -> 1666516 bytes vtorichka_final.csv | 683 +++++ 8 files changed, 5871 insertions(+) create mode 100644 cian_parsing_result_sale_1_100_krasnodar_18_Feb_2023_03_00_53_912228.csv create mode 100644 cian_parsing_result_sale_50_200_krasnodar_17_Feb_2023_16_32_25_653503.csv create mode 100644 krasnodar_data.ipynb create mode 100644 krasnodar_vtorichka.ipynb create mode 100644 merged_stats_final.csv create mode 100644 model_pervichka.pkl create mode 100644 models_vtorichka.pkl create mode 100644 vtorichka_final.csv diff --git a/cian_parsing_result_sale_1_100_krasnodar_18_Feb_2023_03_00_53_912228.csv b/cian_parsing_result_sale_1_100_krasnodar_18_Feb_2023_03_00_53_912228.csv new file mode 100644 index 0000000..b18c6d1 --- /dev/null +++ b/cian_parsing_result_sale_1_100_krasnodar_18_Feb_2023_03_00_53_912228.csv @@ -0,0 +1,1381 @@ +author;author_type;link;city;deal_type;accommodation_type;floor;floors_count;rooms_count;total_meters;price_per_m2;price;year_of_construction;living_meters;kitchen_meters;phone;district;street;underground;residential_complex +ID 49687416;homeowner;https://sochi.cian.ru/sale/flat/282192207/;Краснодар;sale;flat;6;19;3;93.1;338345;31500000;2008;62.6;10.1;+79892742553;Центральный;Невская;;Невская 19 +ID 79095486;homeowner;https://krasnodar.cian.ru/sale/flat/279661943/;Краснодар;sale;flat;20;22;1;43.0;115116;4950000;2021;18.2;14.8;+79180594044;;;; +ID 65428770;homeowner;https://sochi.cian.ru/sale/flat/261817706/;Краснодар;sale;flat;4;14;2;52.0;615384;32000000;2013;45.9;-1;+79181901372;Адлерский;Просвещения;; +ID 79095486;homeowner;https://krasnodar.cian.ru/sale/flat/282999378/;Краснодар;sale;flat;2;10;3;74.0;114864;8500000;2002;42.0;15.6;+79180594044;;;; +ID 94985723;homeowner;https://krasnodar.cian.ru/sale/flat/279796497/;Краснодар;sale;flat;5;6;1;39.5;93670;3700000;2012;18.1;10.8;+79184110513;;;; +ID 24492173;homeowner;https://krasnodar.cian.ru/sale/flat/276556880/;Краснодар;sale;flat;13;18;1;45.1;88691;4000000;2020;20.8;11.7;+79885945606;;;; +ID 88902791;homeowner;https://krasnodar.cian.ru/sale/flat/271544680/;Краснодар;sale;flat;10;22;1;32.27;114657;3700000;2021;-1;-1;+79094602110;;;; +ID 99812501;homeowner;https://krasnodar.cian.ru/sale/flat/283591165/;Краснодар;sale;flat;8;8;1;34.6;109826;3800000;2020;17.0;9.0;+79180418308;;;; +ID 81974003;homeowner;https://sochi.cian.ru/sale/flat/283428668/;Краснодар;sale;flat;4;4;1;37.0;189189;7000000;2018;35.0;-1;+79892107886;Центральный;Тимирязева;; 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+ID 52786794;homeowner;https://sochi.cian.ru/sale/flat/283876094/;Краснодар;sale;flat;6;7;3;68.3;263543;18000000;2011;-1;-1;+79883357043;Хостинский;Бытха;; +ID 31981018;homeowner;https://sochi.cian.ru/sale/flat/281646952/;Краснодар;sale;flat;5;6;1;19.3;440414;8500000;-1;-1;-1;+79898555204;Адлерский;Нижнеимеретинская;; +ID 66258985;homeowner;https://sochi.cian.ru/sale/flat/281824503/;Краснодар;sale;flat;2;15;2;52.1;141074;7350000;2020;-1;12.0;+79183507868;Центральный;Пасечная;; +ID 97750126;homeowner;https://krasnodar.cian.ru/sale/flat/282160741/;Краснодар;sale;flat;7;16;3;84.0;106547;8950000;2016;41.3;13.9;+79676541572;;;; +ID 48531972;homeowner;https://sochi.cian.ru/sale/flat/275270422/;Краснодар;sale;flat;9;9;1;28.0;239285;6700000;2020;23.0;3.0;+79094607551;Лазаревский;Калараша;;Звезда +ID 7012744;homeowner;https://anapa.cian.ru/sale/flat/278589070/;Краснодар;sale;flat;6;13;2;50.0;138000;6900000;2020;27.0;9.0;+79183408065;;;; +ID 27340444;homeowner;https://gelendzhik.cian.ru/sale/flat/279471550/;Краснодар;sale;flat;3;7;2;72.0;215277;15500000;2017;42.4;15.6;+79180686400;;;; +ID 96160923;homeowner;https://sochi.cian.ru/sale/flat/278667316/;Краснодар;sale;flat;18;25;2;88.0;818181;72000000;2014;44.0;15.0;+79182845405;Хостинский;Черноморская;;Панорама Парк +ID 91435081;homeowner;https://sochi.cian.ru/sale/flat/281653502/;Краснодар;sale;flat;15;18;1;33.0;312121;10300000;2018;18.0;10.0;+79884132919;Адлерский;Гастелло;;Адлер +ID 44562099;homeowner;https://sochi.cian.ru/sale/flat/249278235/;Краснодар;sale;flat;6;6;1;36.0;330555;11900000;2011;20.0;10.0;+79094475332;Хостинский;Лермонтова;; +ID 46576185;homeowner;https://krasnodar.cian.ru/sale/flat/281444688/;Краснодар;sale;flat;9;17;3;86.7;91118;7900000;2018;44.7;12.1;+79184525491;;;; +ID 98330870;homeowner;https://sochi.cian.ru/sale/flat/282207295/;Краснодар;sale;flat;1;6;2;57.0;236842;13500000;-1;32.0;13.4;+79892302791;Адлерский;Аллейная;; +ID 75404611;homeowner;https://krasnodar.cian.ru/sale/flat/283022801/;Краснодар;sale;flat;8;16;1;25.3;130434;3300000;2020;-1;-1;+79898305484;;;; +ID 85790937;homeowner;https://sochi.cian.ru/sale/flat/278709699/;Краснодар;sale;flat;1;4;2;40.0;174975;6999000;-1;-1;-1;+79183808525;Центральный;Тимирязева;; +ID 89965366;homeowner;https://sochi.cian.ru/sale/flat/282657550/;Краснодар;sale;flat;3;4;1;35.0;285714;10000000;1889;-1;-1;+79883351657;Адлерский;Лесная;; +ID 92608294;homeowner;https://sochi.cian.ru/sale/flat/275186361/;Краснодар;sale;flat;11;19;2;106.0;291509;30900000;2005;-1;17.0;+79886222427;Хостинский;Яна Фабрициуса;; +ID 35523391;homeowner;https://sochi.cian.ru/sale/flat/280844003/;Краснодар;sale;flat;4;9;2;60.0;183333;11000000;1991;54.0;-1;+79094597868;Центральный;Вишневая;; +ID 80978557;homeowner;https://sochi.cian.ru/sale/flat/265022100/;Краснодар;sale;flat;6;12;2;59.5;252100;15000000;1993;38.1;13.1;+79181507740;Центральный;Гагарина;; +ID 66187202;homeowner;https://sochi.cian.ru/sale/flat/281194232/;Краснодар;sale;flat;6;6;5;216.0;164351;35500000;2006;-1;-1;+79094469855;Хостинский;Бытха;; +ID 82696261;homeowner;https://krasnodar.cian.ru/sale/flat/282979027/;Краснодар;sale;flat;4;4;1;33.0;121212;4000000;2010;17.0;8.0;+79180687323;;;; +ID 91358337;homeowner;https://sochi.cian.ru/sale/flat/280381016/;Краснодар;sale;flat;4;4;1;29.3;271331;7950000;2017;-1;-1;+79654644365;;;; 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+ID 81980635;homeowner;https://sochi.cian.ru/sale/flat/279607486/;Краснодар;sale;flat;5;10;2;56.0;392857;22000000;2014;-1;-1;+79676539315;Адлерский;Белорусская;;Green Sail +ID 96907785;homeowner;https://krasnodar.cian.ru/sale/flat/279642648/;Краснодар;sale;flat;8;9;2;69.4;396253;27500000;2013;35.3;-1;+79184346845;;;; +ID 47231310;homeowner;https://sochi.cian.ru/sale/flat/283606424/;Краснодар;sale;flat;2;5;1;32.0;234375;7500000;1969;-1;-1;+79180594271;Центральный;Тимирязева;; +ID 92545600;homeowner;https://sochi.cian.ru/sale/flat/282160529/;Краснодар;sale;flat;5;12;1;30.0;333333;10000000;2019;-1;-1;+79883120318;;;; +ID 96352441;homeowner;https://krasnodar.cian.ru/sale/flat/278925176/;Краснодар;sale;flat;10;17;3;90.0;183333;16500000;2011;55.0;15.0;+79898106912;;;; +ID 87114024;homeowner;https://krasnodar.cian.ru/sale/flat/283649104/;Краснодар;sale;flat;2;2;1;23.2;178879;4150000;-1;-1;-1;+79654630491;;;; +ID 97095401;homeowner;https://krasnodar.cian.ru/sale/flat/280008092/;Краснодар;sale;flat;10;22;2;61.2;116830;7150000;2017;11.5;11.2;+79094603567;;;; 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Краснодара. 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diff --git a/cian_parsing_result_sale_50_200_krasnodar_17_Feb_2023_16_32_25_653503.csv b/cian_parsing_result_sale_50_200_krasnodar_17_Feb_2023_16_32_25_653503.csv new file mode 100644 index 0000000..bf067cc --- /dev/null +++ b/cian_parsing_result_sale_50_200_krasnodar_17_Feb_2023_16_32_25_653503.csv @@ -0,0 +1,133 @@ +author;author_type;link;city;deal_type;accommodation_type;floor;floors_count;rooms_count;total_meters;price_per_m2;price;year_of_construction;living_meters;kitchen_meters;phone;district;street;underground;residential_complex +ID 7691214;homeowner;https://krasnodar.cian.ru/sale/flat/276863730/;Краснодар;sale;flat;4;5;3;59.0;77966;4600000;1984;37.3;7.9;+79883808018;;;; +ID 15263791;homeowner;https://krasnodar.cian.ru/sale/flat/277066912/;Краснодар;sale;flat;5;9;1;35.0;131428;4600000;1983;18.7;8.2;+79184110626;;;; +ID 85081173;homeowner;https://krasnodar.cian.ru/sale/flat/268310122/;Краснодар;sale;flat;9;18;2;48.9;94069;4600000;2020;15.1;16.3;+79094516107;;;; +ID 67359495;homeowner;https://krasnodar.cian.ru/sale/flat/249777077/;Краснодар;sale;flat;13;19;1;40.0;116250;4650000;2016;18.5;10.7;+79183906308;;;; 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+ID 15085293;homeowner;https://krasnodar.cian.ru/sale/flat/257283764/;Краснодар;sale;flat;4;5;2;60.0;96666;5800000;2014;34.0;10.0;+79676539451;;;; +ID 29854265;homeowner;https://krasnodar.cian.ru/sale/flat/280837605/;Краснодар;sale;flat;7;10;2;70.5;113475;8000000;2020;32.7;19.6;+79885204646;;;; diff --git a/krasnodar_data.ipynb b/krasnodar_data.ipynb new file mode 100644 index 0000000..39cee68 --- /dev/null +++ b/krasnodar_data.ipynb @@ -0,0 +1,2404 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "import numpy as np" + ], + "metadata": { + "id": "1wCgQ3uby0j8" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "df = pd.read_excel('/content/krasnodar_hack_data.xlsx')\n", + "df['date'] = df['date'].apply(lambda x: x[1:-1])\n", + "df['date'] = pd.to_datetime(df['date'])\n", + "df['floor'] = df['floor'].apply(lambda x: str(x).replace('--', '-'))\n", + "df['liter_num'] = df['liter_num'].apply(lambda x: str(x).replace('--', '-'))\n", + "df['price_per_m'] = df['price_per_m'].apply(lambda x: x.replace('\\xa0', '').replace(' ', '')).astype(int)\n", + "df['num_beds'] = df['num_beds'].astype(int)\n", + "df['area'] = df['area'].apply(lambda x: str(x).replace(',', '.')).astype(float)\n", + "df" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 423 + }, + "id": "zYk8ByTx8DXL", + "outputId": "909d53dd-a9a5-4185-dda0-49fd511f3055" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " community liter_num done_date developer floor \\\n", + "0 ЖК «Смородина» 1-5 1 квартал 2023 ООО «АЛЬФА» 1-4 \n", + "1 ЖК «Смородина» 1-5 1 квартал 2023 ООО «АЛЬФА» 5-8 \n", + "2 ЖК «Смородина» 1-5 1 квартал 2023 ООО «АЛЬФА» 9-12 \n", + "3 ЖК «Смородина» 1-5 1 квартал 2023 ООО «АЛЬФА» 13-16 \n", + "4 ЖК «Смородина» 1-5 1 квартал 2023 ООО «АЛЬФА» 1-4 \n", + "... ... ... ... ... ... \n", + "1284 ЖК «Role Clef» nan 2 полугодие 2021 ООО «Уютный дом» 2-12 \n", + "1285 ЖК «Role Clef» nan 2 полугодие 2021 ООО «Уютный дом» 2-12 \n", + "1286 ЖК «Role Clef» nan 2 полугодие 2021 ООО «Уютный дом» 2-12 \n", + "1287 ЖК «Мелодия» nan дом сдан NaN 5 \n", + "1288 ЖК «Мелодия» nan дом сдан NaN 11 \n", + "\n", + " area num_beds price_per_m date \n", + "0 32.95 1 118000 2022-01-25 \n", + "1 32.95 1 119000 2022-01-25 \n", + "2 32.95 1 120000 2022-01-25 \n", + "3 32.95 1 121000 2022-01-25 \n", + "4 35.20 1 117000 2022-01-25 \n", + "... ... ... ... ... \n", + "1284 NaN 1 586000 2023-02-15 \n", + "1285 NaN 2 400000 2023-02-15 \n", + "1286 NaN 3 395000 2023-02-15 \n", + "1287 NaN 2 94000 2023-02-15 \n", + "1288 NaN 2 94000 2023-02-15 \n", + "\n", + "[1289 rows x 9 columns]" + ], + "text/html": [ + "\n", + "
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communityliter_numdone_datedeveloperfloorareanum_bedsprice_per_mdate
0ЖК «Смородина»1-51 квартал 2023ООО «АЛЬФА»1-432.9511180002022-01-25
1ЖК «Смородина»1-51 квартал 2023ООО «АЛЬФА»5-832.9511190002022-01-25
2ЖК «Смородина»1-51 квартал 2023ООО «АЛЬФА»9-1232.9511200002022-01-25
3ЖК «Смородина»1-51 квартал 2023ООО «АЛЬФА»13-1632.9511210002022-01-25
4ЖК «Смородина»1-51 квартал 2023ООО «АЛЬФА»1-435.2011170002022-01-25
..............................
1284ЖК «Role Clef»nan2 полугодие 2021ООО «Уютный дом»2-12NaN15860002023-02-15
1285ЖК «Role Clef»nan2 полугодие 2021ООО «Уютный дом»2-12NaN24000002023-02-15
1286ЖК «Role Clef»nan2 полугодие 2021ООО «Уютный дом»2-12NaN33950002023-02-15
1287ЖК «Мелодия»nanдом сданNaN5NaN2940002023-02-15
1288ЖК «Мелодия»nanдом сданNaN11NaN2940002023-02-15
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1289 rows × 9 columns

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\n", + " " + ] + }, + "metadata": {}, + "execution_count": 22 + } + ] + }, + { + "cell_type": "code", + "source": [ + "df.to_csv('krasnodar_data_final.csv', index=False)" + ], + "metadata": { + "id": "v7B0OICi8LOx" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "df = pd.read_csv('/content/drive/MyDrive/krasnodar_hack/krasnodar_data_final.csv')\n", + "df = df[~df['area'].isna()]\n", + "df = df[~df['done_date'].isna()]\n" + ], + "metadata": { + "id": "UNgPSTGM8Ypj" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "mgrkF997ncDd" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "Mk8Qx67bsjVX" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "df_uniq = df.drop(columns=['price_per_m', 'date', 'floor']).drop_duplicates() #.to_csv('unique_communities.csv', index=False)" + ], + "metadata": { + "id": "iZBXk0P7ndiS" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "df = df.fillna('nan')" + ], + "metadata": { + "id": "Wf8Al8YdnlFk" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "t = df.groupby(['community', 'liter_num', 'done_date', 'developer', 'area', 'num_beds', 'date'])['price_per_m'].mean()" + ], + "metadata": { + "id": "1QEUL1kKpY9I" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "t = t.reset_index()" + ], + "metadata": { + "id": "344wp42UpZwo" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "t.community.value_counts()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "PE9rV5olp36f", + "outputId": "64bfe96a-47ee-43f9-8de9-a9c768444595" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "ЖК «Novella» 53\n", + "ЖК «Зеленодар» 47\n", + "ЖК «AVrorA», 42\n", + "ЖК «Смородина» 40\n", + "ЖК «Fresh» 39\n", + "ЖК «The Grand Palace» 21\n", + "ЖК «Небо» 20\n", + "ЖК «URAL», 18\n", + "ЖК «Спортивный парк» 17\n", + "ЖК «Дом на Лаврова» 8\n", + "Name: community, dtype: int64" + ] + }, + "metadata": {}, + "execution_count": 144 + } + ] + }, + { + "cell_type": "code", + "source": [ + "rep = {\n", + " '4 квартал 2021' : \"4 квартал 2021\",\n", + " '9 квартал 2021' : \"4 квартал 2021\",\n", + " '8 квартал 2021' : \"4 квартал 2021\",\n", + " '7 квартал 2021' : \"4 квартал 2021\",\n", + " '6 квартал 2021' : \"4 квартал 2021\",\n", + " '5 квартал 2021' : \"4 квартал 2021\",\n", + " '18 квартал 2021' : \"4 квартал 2021\",\n", + " '17 квартал 2021' : \"4 квартал 2021\",\n", + " '16 квартал 2021' : \"4 квартал 2021\",\n", + " '14 квартал 2021' : \"4 квартал 2021\",\n", + " '13 квартал 2021' : \"4 квартал 2021\",\n", + " '12 квартал 2021' : \"4 квартал 2021\",\n", + " '11 квартал 2021' : \"4 квартал 2021\",\n", + " '10 квартал 2021' : \"4 квартал 2021\",\n", + " '15 квартал 2021' : \"4 квартал 2021\",\n", + "}\n", + "kvartal_to_date = {\n", + " '4 квартал 2021': '2021-12-15',\n", + " '2 квартал 2022': '2022-06-15',\n", + " '3 квартал 2022': '2022-09-15',\n", + " '1 квартал 2023': '2023-03-15',\n", + " '2 квартал 2023': '2023-06-15',\n", + " '3 квартал 2023': '2023-09-15',\n", + " '4 квартал 2023': '2023-12-15',\n", + " '1 квартал 2024': '2024-03-15',\n", + " '2 квартал 2024': '2024-06-15',\n", + " '3 квартал 2024': '2024-09-15',\n", + " '4 квартал 2024': '2024-12-15',\n", + " 'дом сдан': '1990-12-15'\n", + "}" + ], + "metadata": { + "id": "OjfuBFcqs1pa" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "t['done_date'] = t.done_date.replace(rep)" + ], + "metadata": { + "id": "HnG-tuphqo29" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "Hr0tYXDnq7Xx" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "t.done_date = t.done_date.replace(kvartal_to_date)" + ], + "metadata": { + "id": "1YCU5SSkuXMB" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "t.done_date = pd.to_datetime(t.done_date)\n", + "t.date = pd.to_datetime(t.date)\n", + "t['days_to_done'] = t['done_date'] - t['date']\n", + "t['days_to_done'] = t['days_to_done'].apply(lambda x: int(str(x).split()[0]))\n" + ], + "metadata": { + "id": "LaxUGtDRubue" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "az33D3T0u1Fe" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "xJxBzp7Bwe2i" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "trend = []\n", + "for idx, row in t.iterrows():\n", + " if row.date == pd.to_datetime('2022-01-25'):\n", + " trend.append(0)\n", + " continue\n", + " elif row.date == pd.to_datetime('2022-11-06') and row.area == t.iloc[idx-1].area:\n", + " trend.append(row.price_per_m/(t.iloc[idx-1].price_per_m)*100)\n", + " continue\n", + " elif row.date == pd.to_datetime('2023-02-15') and row.area == t.iloc[idx-1].area:\n", + " trend.append(row.price_per_m/(t.iloc[idx-2].price_per_m)*100)\n", + " continue\n", + " else:\n", + " trend.append(0)" + ], + "metadata": { + "id": "yGCs4h8V1izN" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "t['trend'] = trend" + ], + "metadata": { + "id": "B6LkDXQ123BG" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "t['trend'] = t.trend.apply(lambda x: round(x, 2))" + ], + "metadata": { + "id": "65q_WpTE24zn" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "t = t[~((t['trend'] < 100) & (t['trend'] > 50))]" + ], + "metadata": { + "id": "MY0wDX8s388F" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "same_cols = ['community', 'liter_num', 'done_date', 'developer', 'area', 'num_beds']" + ], + "metadata": { + "id": "3ZviqlKJHHga" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "new_df = []\n", + "for idx, row in t.iterrows():\n", + " if row.date == pd.to_datetime('2022-01-25'):\n", + " i = 1\n", + " if idx+i < t.shape[0]:\n", + " if (t.iloc[idx+i][same_cols] == row[same_cols]).values.sum() == 6:\n", + " row['price_per_m'] = t.iloc[idx+i]['price_per_m']\n", + " row['trend'] = t.iloc[idx+i]['trend']\n", + "\n", + " new_df.append(row)\n", + " if row.date == pd.to_datetime('2022-11-06'):\n", + " i = 1\n", + " if idx+i < t.shape[0]:\n", + " if (t.iloc[idx+i][same_cols] == row[same_cols]).values.sum() == 6:\n", + " row['price_per_m'] = t.iloc[idx+i]['price_per_m']\n", + " row['trend'] = t.iloc[idx+i]['trend']\n", + "\n", + " new_df.append(row)" + ], + "metadata": { + "id": "93JSoKBK941f" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "new_df = pd.DataFrame(new_df)" + ], + "metadata": { + "id": "EqxOuJDpH5OG" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "new_df = new_df[~(new_df['trend'] == 0)]" + ], + "metadata": { + "id": "Nu_gJz4cIDAf" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "t" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 423 + }, + "id": "rgQgfyA3ItLS", + "outputId": "7ce259e9-638d-4317-db58-eb8fed976978" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " community liter_num done_date developer \\\n", + "0 ЖК «AVrorA», nan 2022-09-15 ООО «АльфаСтройКомплекс» \n", + "1 ЖК «AVrorA», nan 2022-09-15 ООО «АльфаСтройКомплекс» \n", + "2 ЖК «AVrorA», nan 2022-09-15 ООО «АльфаСтройКомплекс» \n", + "3 ЖК «AVrorA», nan 2022-09-15 ООО «АльфаСтройКомплекс» \n", + "4 ЖК «AVrorA», nan 2022-09-15 ООО «АльфаСтройКомплекс» \n", + ".. ... ... ... ... \n", + "300 ЖК «Спортивный парк» 7 2022-06-15 ООО «АЛЬФА» \n", + "301 ЖК «Спортивный парк» 8 2022-06-15 ООО «АЛЬФА» \n", + "302 ЖК «Спортивный парк» 8 2022-06-15 ООО «АЛЬФА» \n", + "303 ЖК «Спортивный парк» 8 2022-06-15 ООО «АЛЬФА» \n", + "304 ЖК «Спортивный парк» 8 2022-06-15 ООО «АЛЬФА» \n", + "\n", + " area num_beds date price_per_m days_to_done trend \n", + "0 44.0 1 2022-01-25 187000.0 233 0.00 \n", + "1 44.0 1 2022-11-06 202000.0 -52 108.02 \n", + "2 44.0 1 2023-02-15 236600.0 -153 126.52 \n", + "3 47.0 1 2022-01-25 200750.0 233 0.00 \n", + "4 47.0 1 2022-11-06 205750.0 -52 102.49 \n", + ".. ... ... ... ... ... ... \n", + "300 45.0 1 2023-02-15 101800.0 -245 117.01 \n", + "301 48.0 1 2022-01-25 84000.0 141 0.00 \n", + "302 48.0 1 2022-11-06 98000.0 -144 116.67 \n", + "303 51.0 1 2022-01-25 79000.0 141 0.00 \n", + "304 51.0 1 2022-11-06 92500.0 -144 117.09 \n", + "\n", + "[300 rows x 10 columns]" + ], + "text/html": [ + "\n", + "
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0ЖК «AVrorA»,nan2022-09-15ООО «АльфаСтройКомплекс»44.012022-01-25187000.02330.00
1ЖК «AVrorA»,nan2022-09-15ООО «АльфаСтройКомплекс»44.012022-11-06202000.0-52108.02
2ЖК «AVrorA»,nan2022-09-15ООО «АльфаСтройКомплекс»44.012023-02-15236600.0-153126.52
3ЖК «AVrorA»,nan2022-09-15ООО «АльфаСтройКомплекс»47.012022-01-25200750.02330.00
4ЖК «AVrorA»,nan2022-09-15ООО «АльфаСтройКомплекс»47.012022-11-06205750.0-52102.49
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300ЖК «Спортивный парк»72022-06-15ООО «АЛЬФА»45.012023-02-15101800.0-245117.01
301ЖК «Спортивный парк»82022-06-15ООО «АЛЬФА»48.012022-01-2584000.01410.00
302ЖК «Спортивный парк»82022-06-15ООО «АЛЬФА»48.012022-11-0698000.0-144116.67
303ЖК «Спортивный парк»82022-06-15ООО «АЛЬФА»51.012022-01-2579000.01410.00
304ЖК «Спортивный парк»82022-06-15ООО «АЛЬФА»51.012022-11-0692500.0-144117.09
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\n", + " " + ] + }, + "metadata": {}, + "execution_count": 358 + } + ] + }, + { + "cell_type": "code", + "source": [ + "t['date'].unique()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "7vWFl3uoIMnm", + "outputId": "1d5dbc94-c32c-4426-a324-4a6186f44773" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "array(['2022-01-25T00:00:00.000000000', '2022-11-06T00:00:00.000000000',\n", + " '2023-02-15T00:00:00.000000000'], dtype='datetime64[ns]')" + ] + }, + "metadata": {}, + "execution_count": 365 + } + ] + }, + { + "cell_type": "code", + "source": [ + "test_df = new_df[['area', 'num_beds', 'price_per_m', 'days_to_done', 'community']]\n", + "test_df = test_df[test_df['days_to_done'] > -2000]\n", + "test_df['community'] = test_df['community'].apply(lambda x: x.strip())" + ], + "metadata": { + "id": "GsddQYnB_hi5" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "from sklearn.linear_model import LinearRegression\n", + "from sklearn.model_selection import StratifiedKFold" + ], + "metadata": { + "id": "iIV_dc5N_nZB" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "kfold = StratifiedKFold(n_splits=5, shuffle=True, random_state=0xBACED)" + ], + "metadata": { + "id": "g-1NcmetADYQ" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "for fold, (train_index, val_index) in enumerate(kfold.split(test_df, test_df['days_to_done'])):\n", + " if fold == 0:\n", + " df_train = test_df.iloc[train_index]\n", + " df_val = test_df.iloc[val_index]\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "QbgRtLQ-AI89", + "outputId": "18b36f27-7059-470d-eb7a-5e7e1c0e03db" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/usr/local/lib/python3.8/dist-packages/sklearn/model_selection/_split.py:676: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=5.\n", + " warnings.warn(\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "X = df_train.drop(columns=['price_per_m'])\n", + "y = df_train['price_per_m'].values\n", + "\n", + "X_val = df_val.drop(columns=['price_per_m'])\n", + "y_val = df_val['price_per_m'].values" + ], + "metadata": { + "id": "asPYq7hz_uAR" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "!pip install shap catboost -qqq" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "clgz4UO8A92Y", + "outputId": "5f8340de-1a3d-4f02-b895-0c64e09adfa0" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m575.9/575.9 KB\u001b[0m \u001b[31m12.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m76.6/76.6 MB\u001b[0m \u001b[31m12.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25h" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "from catboost import CatBoostRegressor, Pool" + ], + "metadata": { + "id": "060Gc1XtCYYA" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "regression_params = dict(\n", + " iterations=5000, \n", + " learning_rate=0.05,\n", + " verbose=100,\n", + " early_stopping_rounds=500,\n", + " loss_function='RMSE',\n", + " eval_metric='MAE',\n", + " task_type='CPU',\n", + " cat_features=['community']\n", + ")\n" + ], + "metadata": { + "id": "PRyAwOaTCjw1" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "model = CatBoostRegressor(**regression_params).fit(X, y, eval_set=(X_val, y_val))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "vSL8GlhyCZ2n", + "outputId": "ce8a65b1-edaf-44b3-bf69-e3c70febb28b" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "0:\tlearn: 37709.1413245\ttest: 37499.9541219\tbest: 37499.9541219 (0)\ttotal: 848us\tremaining: 4.24s\n", + "100:\tlearn: 9375.1949588\ttest: 8095.7973147\tbest: 8082.1061214 (99)\ttotal: 60.6ms\tremaining: 2.94s\n", + "200:\tlearn: 6081.2680389\ttest: 6465.3010380\tbest: 6465.3010380 (200)\ttotal: 185ms\tremaining: 4.41s\n", + "300:\tlearn: 4427.3214133\ttest: 6545.6179437\tbest: 6361.4411869 (251)\ttotal: 397ms\tremaining: 6.19s\n", + "400:\tlearn: 3395.6664363\ttest: 6681.1132311\tbest: 6361.4411869 (251)\ttotal: 551ms\tremaining: 6.31s\n", + "500:\tlearn: 2712.4185987\ttest: 6611.7024042\tbest: 6361.4411869 (251)\ttotal: 732ms\tremaining: 6.58s\n", + "600:\tlearn: 2258.2942629\ttest: 6603.5144130\tbest: 6361.4411869 (251)\ttotal: 833ms\tremaining: 6.1s\n", + "700:\tlearn: 1912.3338542\ttest: 6570.2824488\tbest: 6361.4411869 (251)\ttotal: 993ms\tremaining: 6.09s\n", + "Stopped by overfitting detector (500 iterations wait)\n", + "\n", + "bestTest = 6361.441187\n", + "bestIteration = 251\n", + "\n", + "Shrink model to first 252 iterations.\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "from sklearn.metrics import mean_absolute_percentage_error" + ], + "metadata": { + "id": "N7iYT6eBCfd9" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "y_pred = model.predict(X_val)\n", + "\n", + "1-mean_absolute_percentage_error(y_pred, y_val)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "oFTHqEcPDflg", + "outputId": "f1fe7202-d1ed-49eb-abb1-7f114d7f44da" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "0.9550957107941889" + ] + }, + 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29945.01-144ЖК «Спортивный парк»
30248.01-144ЖК «Спортивный парк»
30451.01-144ЖК «Спортивный парк»
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125 rows × 4 columns

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\n", + " " + ] + }, + "metadata": {}, + "execution_count": 442 + } + ] + }, + { + "cell_type": "code", + "source": [ + "df = pd.read_csv('/content/drive/MyDrive/krasnodar_hack/krasnodar_data_final.csv')\n", + "df = df[~df['area'].isna()]\n", + "df = df[~df['done_date'].isna()]" + ], + "metadata": { + "id": "FUArSeHiUQk9" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "df = df.loc[df.drop(columns=['price_per_m', 'date', 'floor', 'done_date']).drop_duplicates().index]" + ], + "metadata": { + "id": "F93iEA_4UUmS" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "rep = {\n", + " '4 квартал 2021' : \"4 квартал 2021\",\n", + " '9 квартал 2021' : \"4 квартал 2021\",\n", + " '8 квартал 2021' : \"4 квартал 2021\",\n", + " '7 квартал 2021' : \"4 квартал 2021\",\n", + " '6 квартал 2021' : \"4 квартал 2021\",\n", + " '5 квартал 2021' : \"4 квартал 2021\",\n", + " '18 квартал 2021' : \"4 квартал 2021\",\n", + " '17 квартал 2021' : \"4 квартал 2021\",\n", + " '16 квартал 2021' : \"4 квартал 2021\",\n", + " '14 квартал 2021' : \"4 квартал 2021\",\n", + " '13 квартал 2021' : \"4 квартал 2021\",\n", + " '12 квартал 2021' : \"4 квартал 2021\",\n", + " '11 квартал 2021' : \"4 квартал 2021\",\n", + " '10 квартал 2021' : \"4 квартал 2021\",\n", + " '15 квартал 2021' : \"4 квартал 2021\",\n", + "}\n", + "kvartal_to_date = {\n", + " '4 квартал 2021': '2021-12-15',\n", + " '2 квартал 2022': '2022-06-15',\n", + " '3 квартал 2022': '2022-09-15',\n", + " '1 квартал 2023': '2023-03-15',\n", + " '2 квартал 2023': '2023-06-15',\n", + " '3 квартал 2023': '2023-09-15',\n", + " '4 квартал 2023': '2023-12-15',\n", + " '1 квартал 2024': '2024-03-15',\n", + " '2 квартал 2024': '2024-06-15',\n", + " '3 квартал 2024': '2024-09-15',\n", + " '4 квартал 2024': '2024-12-15',\n", + " 'дом сдан': '1990-12-15'\n", + "}\n", + "\n", + "df['done_date'] = df['done_date'].replace(rep).replace(kvartal_to_date)\n", + "\n", + "df.done_date = pd.to_datetime(df.done_date)\n", + "df.date = pd.to_datetime(df.date)\n", + "df['days_to_done'] = df['done_date'] - df['date']\n", + "df['days_to_done'] = df['days_to_done'].apply(lambda x: int(str(x).split()[0]))\n", + "\n", + "df = df[df['days_to_done'] > -2000]" + ], + "metadata": { + "id": "YGVXldFpVK3r" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "import uuid" + ], + "metadata": { + "id": "YQ8yCNOUWfBH" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "df['id'] = [uuid.uuid4() for i in range(df.shape[0])]" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "uqaytktLVtEG", + "outputId": "4987f94a-12b5-4054-e04f-6614ddaa2f87" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":1: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['id'] = [uuid.uuid4() for i in range(df.shape[0])]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "df = df.reset_index(drop=True)" + ], + "metadata": { + "id": "PEhBbLi2WAjW" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "df['community'] = df['community'].apply(lambda x: x.strip())" + ], + "metadata": { + "id": "OzeORCqdYs-i" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "model.predict(pd.DataFrame({'area': [58.0], 'num_beds': [1], 'days_to_done': [1000], 'community':['ЖК «Novella»']}))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "3Y17izGaXrBB", + "outputId": "98da920d-41b9-4b94-cab9-e47b969f39f0" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "array([135260.44035891])" + ] + }, + "metadata": {}, + "execution_count": 499 + } + ] + }, + { + "cell_type": "code", + "source": [ + "df.to_csv('info_final.csv', index=False)" + ], + "metadata": { + "id": "fVwsL2LcX9g6" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "import tqdm\n", + "\n", + "preds = []\n", + "for idx, row in tqdm.tqdm(df.iterrows()):\n", + " subjs = {\n", + " 'id':str(row['id']),\n", + " 'days_to_done':row['days_to_done'],\n", + " 'price_at_moment': round(model.predict(row[model.feature_names_])*row.area)\n", + " }\n", + " \n", + " prices_after = []\n", + " for days in [1000, 700, 500, 300, 200, 100, 50, 0, -50, -100]:\n", + " row['days_to_done'] = days\n", + " pred = round(model.predict(row[model.feature_names_])*row.area)\n", + " \n", + " subjs[f'{days}_to_done'] = pred\n", + "\n", + " if days < subjs['days_to_done']:\n", + " prices_after.append(pred)\n", + "\n", + " if max(prices_after) == pred:\n", + " subjs['max_price_after_invest'] = pred\n", + " subjs['increase'] = subjs['max_price_after_invest'] - subjs['price_at_moment']\n", + " subjs['increase_procent'] = round((subjs['increase']/(subjs['price_at_moment']*100))*100*100, 2)\n", + "\n", + " subjs['days_for_increase'] = subjs['days_to_done']-days\n", + "\n", + " if subjs['days_for_increase'] >= 365:\n", + " subjs['status'] = 'long'\n", + " else:\n", + " subjs['status'] = 'short'\n", + "\n", + " \n", + " if subjs['increase_procent'] >= 7:\n", + " subjs['risk'] = 'good'\n", + " elif subjs['increase_procent'] <= 0:\n", + " subjs['risk'] = 'bad'\n", + " else:\n", + " subjs['risk'] = 'riskey'\n", + "\n", + "\n", + " preds.append(subjs)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "OVh5D4kQX-0J", + "outputId": "6ec9394b-4554-4c0d-d40a-8e696c56b71b" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "153it [00:03, 44.60it/s]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "f = pd.DataFrame(preds)" + ], + "metadata": { + "id": "f5ifJU9habaL" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "f.risk.value_counts()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "2GJK98WAmwRj", + "outputId": "5ca8d789-1afe-4051-f611-bf62eea3bdfb" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "good 67\n", + "riskey 47\n", + "bad 39\n", + "Name: risk, dtype: int64" + ] + }, + "metadata": {}, + "execution_count": 587 + } + ] + }, + { + "cell_type": "code", + "source": [ + "df.id = df.id.astype(str)" + ], + "metadata": { + "id": "1YzsbENSnDPx" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "f.merge(df[['community', 'liter_num', 'done_date', 'developer', 'floor', 'area',\n", + " 'num_beds', 'days_to_done', 'id']], on='id', how='left').to_csv('merged_stats_final.csv', index=False)" + ], + "metadata": { + "id": "_7FnZAE_m-Bt" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "import json\n", + "\n", + "with open('stats_final.json', 'w') as f:\n", + " json.dump(preds, f)" + ], + "metadata": { + "id": "oHMm4LIKb02q" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "cols = ['1000_to_done', '700_to_done',\n", + " '500_to_done', '300_to_done', '200_to_done',\n", + " '100_to_done', '50_to_done', '0_to_done', '-50_to_done',\n", + " '-100_to_done']" + ], + "metadata": { + "id": "BfqXQdrSiN6_" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "import plotly.express as px" + ], + "metadata": { + "id": "lDjZh9gVjCvu" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "t = f[f['increase_procent'] > 15][cols].T" + ], + "metadata": { + "id": "eY5RJbHIeWvY" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "fig = px.line(t)\n", + "fig.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 542 + }, + "id": "4mg4YGkWiivI", + "outputId": "314a02a7-1a9c-4fe4-b4d5-3d5b73a24ac0" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "
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Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 48 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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tF4AX01iXZJG20yMc6h7mhiweHjmTGp1olTyX6iiajwE/AL6UvGsJ8ON0FSXZZVtLJwA3rM+tgJ8aSdM1pICX/JTq5YgfB64FBgCccweA3DnbJvPyeHMXyxcV59zMjCXhAooLg3QNaiSN5KdUA37cOTcx9UPyYieducoDY5Mxnjl4muvX1WKWfas3zaW2LEyXumgkT6Ua8NvM7K9ILL59M/B94D/TV5ZkixeO9DA6Gcu57pkpdWVh9cFL3kp1FM1fAncCrwK/A/wU+Eq6ipLscM/2Nn7yygmCAeNYz2hOzulSWxpmZCJGz/AEi0qyc4ESkXRJKeCdc3Ez+zHwY+ecpnzMIy0dQ6ysKaGwILtnj5xNbVliTpqDXUMsKlnkcTUimXXOv1pL+JSZdQPNQHNyNaf/npnyxEu9wxN0DY1n9eIec5kaSaPVnSQfzdUs+ySJ0TNXOOcWOecWAVcB15rZJ9NenXiqObki0rosXVw7FRXFIUJB46ACXvLQXAH/YeB259zhqTucc4eAO4CPpLMw8V5LxyBVxSFqc3i63YAZNaVhWrsU8JJ/5gr4kHOu++w7k/3wofSUJNlgPBrjUNcw6+rLcnJ45HS1ZWEOKuAlD80V8BMX+JjkuBcO92b94tqpqi0L0947ythkzOtSRDJqrlE0W8xsYIb7DShKQz2SJR5v7iQYMFbX5m7/+5S6siKcS4yk2by4wutyRDLmnAHvnMudqQNlQT3e0sXK6twdHjnd1DmEg13DCnjJK7n/1ysLrr13hNbOoZwePTNddWkhAdNQSck/Cnh5ncebE9ey+aH/HSAUDLBsUbFOtEreUcDL62xr6WJJZYTastwdHnm2NbWlGgsveUcBL68xEY3zTGs3N6zPzdkjZ7OmrpRD3cPE4poEVfKHAl5eY8eRHoYnYjm1uHYqVteWMhGN09474nUpIhmjgJfXeLyli1DQuGZ17iyunYrVdYkTxjrRKvlEAS+v8XhzJ1c0LaIknOpM0rlhTXI8v060Sj5RwMsZJ/pGaekYytnFPc6lojiUmJNGLXjJIwp4OeOx5qnFtf3V/z5lTV0JB7uGvS5DJGMU8HLGo/s6WVoVYW2dPy5wOtvq2lJaO4dwTiNpJD8o4AWA0YkYT7V2c9PGel8Nj5xuTV0p/aOTdA9pnjzJD2k7k2Zmy4BvAvWAA+52zn0+XfuTC3fP9jb2nxxgPBrHkj/70eppJ1r9dBGXyGzS2YKPAn/qnNsEXA183Mw2pXF/Mg/7Tg1SWBBgZU2J16WkzRoNlZQ8k7aAd86ddM69mLw9COwDlqRrf3LhnHM0nxpgbV0pBUH/9to1VhRRXBjUUEnJGxn5azazJuBSYPsMj91lZjvMbEdXV1cmypGznOgfY2AsyoaGcq9LSSszO3OiVSQfpD3gzawU+CHwx8651y0e4py72zm31Tm3tbbWf+Ovc8H+UwMYsL7BH7NHnsuaulIOaaik5Im0BryZhUiE+/9zzt2Xzn3Jhdt/cpClVRFKfXb16kxW15ZwvG+U4fGo16WIpF3aAt4SY+2+Cuxzzn02XfuR+ekcGON43ygbGv3dPTNl6kSrWvGSD9LZgr8W+DBwo5m9nPx6Zxr3Jxfg0f2Jq1c35EH3DLx2qKSI36XtM7lz7ikSi3NLFntkfycVkRAN5fmxhvqK6hKCAdOJVskL/h0TJ3Mam4zx1IFuNjSU+fbq1bMVFgRYUa3l+yQ/KODz2LOHTjM6GfP98Mizaaik5AsFfB57dF8nkVCQVbX+vXp1JmvqSjlyephoLO51KSJppYDPU845HtnXwZvW1hDy8dWrM1ldW8pkzNHWo+X7xN/y6y9bzth9fIAT/WPcvKne61Iybmo65JYOddOIvyng89SDe04SDBg3b8y/gF9XX4YZNJ8a9LoUkbRSwOepB3ef4upVi6gqKfS6lIyLFAZZsaiY5o7XzZwh4isK+DzU2jnIwa5hbtnc4HUpnlnfUMZ+teDF5/w/+Yi8zs9ePQXA2/Io4M9exGQy5jjcNczYZIyiUNCjqkTSSy34PPTgnlNctryS+jy5enUm9eVFOLT4h/ibAj7PHOsZYc+JAW65KH9a7zOZmppB3TTiZwr4PPPQnkT3zNvzqHtmJtWlhRQEjOZTOtEq/qWAzzMP7j7FxsZyVlTn19WrZwuYUVceVgtefE0Bn0dO9o+ys62Xd+R598yUxvII+04O4JzzuhSRtFDA55EHdp3EOXjPlsVel5IVGiuL6B6aoHNw3OtSRNJCAZ9H/mPXcbYsrWBlTX53z0xZXBEBYM+Jfo8rEUkPBXyeaO0cYvfxAW69ZInXpWSNxooizBLz8oj4kS50yhN//5N9GDAZi7/uop98FQ4FaaouUQtefEst+DzgnGNXex+ra0spLwp5XU5W2by4nD0n1IIXf1LA54Fd7f30DE+wZVmF16Vknc2LK2jvHaV/ZNLrUkQWnAI+D/z4peMUBIzNixXwZ9u8OLFcobppxI8U8D4XjcV54JWTrG8o06RaM7h4SeJNb1e7Al78RwHvc481d9E9NM6lyyq9LiUrVZUU0lRdzEttvV6XIrLgFPA+d+/zbdSVhVnfUO51KVnrkmWVvHysT1e0iu9omKTPTB8C2TcywWP7O7lhfS3BgHlYVXa7ZFklP375BCf7x1hcGfG6HJEFoxa8j71wJNHtsLVpkceVZLdLl1cB8PKxPo8rEVlYCnifisUdO4/2sLa+lKri/Ft39XxsbCynsCCggBffSVvAm9nXzKzTzHanax8yu+ZTgwyMRbmyqdrrUrJeYUGAzYvLdaJVfCedLfivA7ekcftyDi8c6aG8qID1DWVel5ITLl9exa72fsYmY16XIrJg0hbwzrkngJ50bV9m1zM8QUvHIJevWKSTqym6alU1E9E4u9RNIz7ieR+8md1lZjvMbEdXV5fX5fjC0we7MYMrV+rkaqqubFqEGWw/rDaJ+IfnAe+cu9s5t9U5t7W2ttbrcnLeyESUnUd62bK0koqIJhZLVUVxiA0N5Tx36LTXpYgsGM8DXhbW84d7mIjFedPaGq9LyTlXrVzEi229TETjXpcisiAU8D4yPB7lqdZu1tWX0lihC3bO19WrqhmbjPNKu/rhxR/SOUzyXuBZYL2ZtZvZnenalyR8+7mjjEzEuHF9ndel5KSrVib64Z9q7fa6FJEFkc5RNLc75xqdcyHn3FLn3FfTtS9J9L3f/cQh1taVsrxaa65eiKqSQi5dVslj+zu9LkVkQaiLxie+8uRhTg9P8NYNar3Px1vW17GrvZ+uwXGvSxGZNwW8D3QOjvHv2w7yjosa1Hqfp7ck3yCfaNGQXcl9Cngf+OzPW5iIxvnzWzZ4XUrO29RYTm1ZmMea1U0juU8Bn+N2Hu3lOy8c46PXNLGyRq33+QoEjLesr2VbcxfjUU1bILlNAZ/DJmNx/uq+V1lcUcQnb17ndTm+8a43LGZwPMrjzeqmkdymgM9hX3jkAM0dg3zq1s2UhLV2y0K5dnU11SWF3L/rhNeliMyLAj5HvXCkh397rJX3X76Ut21u8LocXykIBnjnxY08vLeDofGo1+WIXDAFfA7qHBzjD+99iaVVxXzq1s1el+NLt16ymPFonId2n/K6FJELpoDPMePRGL/7rZ30jUzyf+64jFJ1zaTF5curWFVbwjefO+p1KSIXTAGfQyZjcf7gnpd4sa2Pz3xgC5sXV3hdkm8FAsZHr2li17E+rfQkOUsBnyPGozH+8N6X+MXeDj793s288+JGr0vyvfddtpSycAH/9+kjXpcickH0+T4H9A5P8Dvf3snzh3v463dv4iNvbPK6pLxQGi7gA1cs4+vPHOGPblrL6tpSr0vynXu2t814/wevWp7hSvxJLfgs99yh07zj80/yclsfn7/tEu5800qvS8orv3v9aooKAvzzg81elyJy3tSCzwIztWKGxqMc7BziuzuO0VRdzH2/fw0XLVGfe6bVloW567rVfO7hFnYc6WFrk5ZBlNyhgM8yp4fGef5wD88dPo1z8DvXreIP37pWFzJ56LffvJJ7n2/jz3/4Cj/5xJuJFAa9LkkkJUqNLDA+GaO5Y5AdR3pp7RoiYHDxkgo+9+uXsGqWft/Z+i5l4ZWEC/jMB7bwoa9s5+9/upe/+5WLvS5JJCUKeI90DIzxi70d/GJvB0+1dhOLOyoiIW7aWMflKxZREQnNGu6SedeuqeGu61Zx9xOHWFlTqnMhkhMU8BninONzDx9g38kB9p0coL13FIBFJYW8cVU1GxrLaKouIWDmcaUymz9/+3raTo/wtw/sxYDfvLYJO+v/S6NCJJso4C9Qqn/Ie08M8KOX2vn53g6Onh4BYGlVhLdtqmdjYzl1ZeHXhcRc+5DMmOnf/5rV1UTjjk8/sJdXj/fz39+9iaqSQg+qy196E02dAj4Nhsaj3PdiO9/bcYzdxwcIBY1rVtdwybJKNjaUUx4JeV2iXKCCYIC7P3w5X3j0AF945ACP7u/kY29eyW1XLqemNOx1eSKvoYBfQINjk/zzQ/v51rNHGRiLsqmxnE+9ZxPvvWQJVSWFapH7RCBg/PFN63jHRY38z5/u419+3sK/PnyAK1cuojRcwOLKCEsqI/Me+aSWqsyXAn4BDI1H2dbcyfbDPcSc45bNDXzsulVctrzK69IkjdY3lPGN37qS1s5BfvjicR7Z18EzB0+febykMEhFcYiKSCHNpwZoqIhQHimgNFxASWEBJeECwqEA8bgjGnfE446Yc0xE44xNxnmprZfJmCMajye+x+LEnKN7aJyiUIBIKEhNaZjasjB1ZUUsriyiIKhrF+WXFPDzMD4Z46mD3Tx1oJuJaJzLVlRx/bpaakrD7D85yP6Tg16XKBmwpq6Mv7hlA39xywa++uRhTvSPcqJvlO6hCfpHJ+gZHue+F48zuABzyxvMutJUMGBUlxRSW5YI/drSMPXlRdSWhfmNa5pmfM1CfkqYbVuxuOOmTXWc7B/jVP8YJ/vH6Bocp2twnFfa+xgajzIejZ95gysIGPc8f5TKSCH15UWsrithdW0pGxrKWL6o+LzrymcK+AswEY3zzMFuHtvfyfBEjM2Ly7l5Uz11ZUVelyYeixQGWV1b+rp5az541XKGx6MMjkUZGo8ynPx6aE8HgQAEzDCDAEZB0CgIBggFkt+DRkEgQEHQCJgRiyda9RPROEPJbQ6MTtI9lAjNjoEx9p0cIO4S+zbg688cYW1dKevqy1hdV8LiigiLKyNEY/GUWv2xuGN44pd1D43Hkt8T++8fneTp1m5GJ2KMTsYYnYgxPJGoa3Asyl//x2u3FwoataVhAgGjIhKiKBQkYJw5vqqSQnpHJni6tZsfvth+5nU1pWHqysI0VRezqraUhooijTw7BwX8eYjFHffvOs5nft5Ce+8oq2pKePvmBpapVZFXLvRcSkm44HX98keSI6vORzBgBANBwgVByopCNM4wg0U0Huf00AQdA2N0Do4TLgjQ0jHII/s7iU0lf1JBwAiHghQGfxmU//ZYK5CYxXRoPMrYZDyl2qa6jiKFQUoKC6gvL6K8KMTNm+pprCiioaKIhvIiKotDmFlKnyAGxyY51DXM7hP97Dzay+PNXew9OQBA8bQ31GvXVLN8UfGso9LykQI+Bc45Hmvu5J8ebGb/qcFEi31jPWvqSvXLJFmpIBCgvryI+vLEp8qpwByPxmjvHeVk3xgn+kd5eG8HY5MxxibjTMQSIW7AytoSDCMcCkw7ZxCkJFzAy8f6CBcEKCwIEC4IUlQQIFIYTLbCZ/57mM+J4bKiEFuWVbJlWSUfumoF92xvo390koNdQxzsHOJg1xCvHu/nxy8fZ0llhGvXVHPtmhreuLp6zk/Vfj+RrYA/h2gszk93n+LLTxzi1eP9NFUX879vv5R3XdzId1445nV5IuctXPDaLqRozM34vHMFnJv5JRlVEQlx2fIqLltehXOOrqFxFpUU8nRrNw/uPsX3diS6ddbVl3LN6kTYb2woZ2lVhEAgfxplCvgZHOke5v5dJ/juC8c43pfoivmH913M+y9fSkijFHwlU0NXc22IbC7Va2bUlRXxwauW85E3NhGLO/ac6Ofp1tM8c7Cb77zQxtefOQIkupDW1JWytuuc+SoAAAbmSURBVC5x5XhbzwgVkRCVkRAVxSHf/X2nNeDN7Bbg80AQ+Ipz7h/Tub8LNTYZ46W2Pp4/3MMj+zt4pb0fgKtXLeJvbt3MjRvq8updXySXBQPGG5ZW8oallfzeDasZj8bYfXyAAx2DHOgcoqVjkGcPnuZHLx1/3WuLC4NURkI8ur+ThoowDclurvryxPmD+rIiyiMFOdM1ay5Nn7fMLAi0ADcD7cALwO3Oub2zvWbr1q1ux44dF7xP51xyhEHiKxZzTCZHG/SPTtI3MknfyAS9I5Oc7B/lUPcwh7qGae0cZDLmsOQsju9+QyPvfsNiFldGZt1XLrVwRLw2W5dPJv6OZtv32GSMLz9xiL7RSfqnvkYS3wE6BsfoG5l83euKQgEayouoKy9KvgEkhqNWFRdSEk5e5xAOJr8XUBQKEgwYBQF7zfeFepMws53Oua0zPZbOFvyVQKtz7lCyiO8A7wVmDfgLdemnf87QeJTJWfoTZxIMGMuqIqysKeH6dbVcubLqzCyOIuJ/RaEg1aVhqmeYYmLqTWFsMkbHwBgdA+OcGhijcyAxlj9xe5yXj/VxamCMiWhqo4ymC04FPYmFZZ76ixvne0ivk84W/PuBW5xzv538+cPAVc65PzjreXcBdyV/XA+c79poNUD3PMvNdjpGf9Ax+kO2HeMK51ztTA94fpLVOXc3cPeFvt7Mdsz28cQvdIz+oGP0h1w6xnSeMj4OLJv289LkfSIikgHpDPgXgLVmttLMCoHbgPvTuD8REZkmbV00zrmomf0B8BCJYZJfc87tScOuLrh7J4foGP1Bx+gPOXOMaTvJKiIi3vLXZVsiInKGAl5ExKdyJuDN7BYzazazVjP7yxkeD5vZd5OPbzezpsxXOT8pHOOfmNleM3vFzB4xsxVe1Dkfcx3jtOf9qpk5M8uJ4WjTpXKMZvaB5P/lHjO7J9M1zlcKv6vLzewxM3sp+fv6Ti/qvFBm9jUz6zSz3bM8bmb2heTxv2Jml2W6xpQ457L+i8RJ2oPAKqAQ2AVsOus5vw/8e/L2bcB3va47Dcf4FqA4efv3/HiMyeeVAU8AzwFbva47Df+Pa4GXgKrkz3Ve152GY7wb+L3k7U3AEa/rPs9jvA64DNg9y+PvBH5GYnblq4HtXtc801eutODPTHvgnJsApqY9mO69wDeSt38AvNVyZUaghDmP0Tn3mHNuaoWI50hcW5BLUvl/BPhb4H8BY5ksboGkcowfA/7NOdcL4JzrzHCN85XKMTqgPHm7AjiRwfrmzTn3BNBzjqe8F/imS3gOqDSzxsxUl7pcCfglwPQJ2NuT9834HOdcFOgHqjNS3cJI5Rinu5NECyKXzHmMyY+6y5xzP8lkYQsolf/HdcA6M3vazJ5LzrqaS1I5xk8Bd5hZO/BT4BOZKS1jzvfv1ROeT1Ug58/M7gC2Atd7XctCMrMA8Fngox6Xkm4FJLppbiDxKewJM7vYOdfnaVUL63bg6865z5jZG4FvmdlFzrnzn5VLLliutOBTmfbgzHPMrIDEx8LTGaluYaQ0tYOZ3QT8N+BW59x4hmpbKHMdYxlwEfC4mR0h0bd5f46daE3l/7EduN85N+mcO0xiWu21GapvIaRyjHcC3wNwzj0LFJGYpMsvcmIqllwJ+FSmPbgf+I3k7fcDj7rk2ZAcMecxmtmlwJdIhHuu9dvCHMfonOt3ztU455qcc00kzjPc6py78EUCMi+V39Ufk2i9Y2Y1JLpsDmWyyHlK5RjbgLcCmNlGEgHfldEq0+t+4CPJ0TRXA/3OuZNeF3W2nOiicbNMe2BmnwZ2OOfuB75K4mNgK4mTI7d5V/H5S/EY/xkoBb6fPH/c5py71bOiz1OKx5jTUjzGh4C3mdleIAb8mXMuZz5tpniMfwp82cw+SeKE60dzqcFlZveSeBOuSZ5H+B9ACMA59+8kziu8E2gFRoDf9KbSc9NUBSIiPpUrXTQiInKeFPAiIj6lgBcR8SkFvIiITyngRUQ8MtekZmc993Nm9nLyq8XM5rwwTqNoREQ8YmbXAUMk5rW56Dxe9wngUufcb53reWrBi4h4ZKZJzcxstZk9aGY7zexJM9sww0tvB+6da/s5caGTiEgeuRv4XefcATO7CvgicOPUg8l1IFYCj861IQW8iEiWMLNS4Bp+ebU6QPisp90G/MA5F5trewp4EZHsEQD6nHOXnOM5twEfT3VjIiKSBZxzA8BhM/s1OLM04Japx5P98VXAs6lsTwEvIuKR5KRmzwLrzazdzO4EPgTcaWa7gD28drWs24DvpDpxm4ZJioj4lFrwIiI+pYAXEfEpBbyIiE8p4EVEfEoBLyLiUwp4ERGfUsCLiPjU/weNEbFGwbeG9QAAAABJRU5ErkJggg==\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "source": [ + "sns.distplot(np.log(df['price'].values))\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 341 + }, + "id": "QWk979EYqSX8", + "outputId": "19b9153e-7e3d-4d42-bd93-9e6f91130c7d" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/usr/local/lib/python3.8/dist-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 26 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "source": [ + "df = df[(df['price'] > 1000000) & (df['price'] < 10000000)]" + ], + "metadata": { + "id": "yTsj5H6er_E4" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "1.050000e+06" + ], + "metadata": { + "id": "9HUIrkcm2Fjb", + "outputId": "c12b60c2-8596-4670-bb4a-b6e905d50d46", + "colab": { + "base_uri": "https://localhost:8080/" + } + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "1050000.0" + ] + }, + "metadata": {}, + "execution_count": 129 + } + ] + }, + { + "cell_type": "code", + "source": [ + "df['price'].describe()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "XExt2svC1_02", + "outputId": "cf147a42-b740-455b-c75f-51fc365f9a94" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "count 9.210000e+02\n", + "mean 4.081383e+06\n", + "std 1.286029e+06\n", + "min 1.050000e+06\n", + "25% 3.400000e+06\n", + "50% 3.980000e+06\n", + "75% 4.500000e+06\n", + "max 9.750000e+06\n", + "Name: price, dtype: float64" + ] + }, + "metadata": {}, + "execution_count": 128 + } + ] + }, + { + "cell_type": "code", + "source": [ + "from sklearn.model_selection import StratifiedKFold\n", + "from catboost import CatBoostRegressor, Pool" + ], + "metadata": { + "id": "HgnofJwbrFA0" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "regression_params = dict(\n", + " iterations=5000, \n", + " learning_rate=0.01,\n", + " verbose=100,\n", + " early_stopping_rounds=500,\n", + " loss_function='RMSE',\n", + " eval_metric='MAE',\n", + " task_type='CPU',\n", + ")" + ], + "metadata": { + "id": "GhbyXwJAsHdi" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "kfold = StratifiedKFold(n_splits=5, shuffle=True, random_state=0xBACED)\n", + "\n", + "models = []\n", + "preds = []\n", + "data = []\n", + "for fold, (train_index, val_index) in enumerate(kfold.split(df, df['price'])):\n", + " df_train = df.iloc[train_index]\n", + " df_val = df.iloc[val_index]\n", + "\n", + " X = df_train.drop(columns=['price', 'link'])\n", + " y = np.log(df_train['price'].values)\n", + "\n", + " X_val = df_val.drop(columns=['price', 'link'])\n", + " y_val = np.log(df_val['price'].values)\n", + "\n", + " model = CatBoostRegressor(**regression_params).fit(X, y, eval_set=(X_val, y_val))\n", + " preds.append(np.exp(model.predict(X_val)))\n", + " data.append(df_val)\n", + "\n", + " models.append(model)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "EMHyD_A0rx9v", + "outputId": "bffcf7c6-b68b-4c06-bd6c-5adaa0ce9136" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/usr/local/lib/python3.8/dist-packages/sklearn/model_selection/_split.py:676: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=5.\n", + " warnings.warn(\n" + ] + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "0:\tlearn: 0.2087847\ttest: 0.2202941\tbest: 0.2202941 (0)\ttotal: 4.76ms\tremaining: 23.8s\n", + "100:\tlearn: 0.1821797\ttest: 0.2034064\tbest: 0.2034064 (100)\ttotal: 101ms\tremaining: 4.89s\n", + "200:\tlearn: 0.1729615\ttest: 0.2031829\tbest: 0.2026452 (132)\ttotal: 233ms\tremaining: 5.57s\n", + "300:\tlearn: 0.1675100\ttest: 0.2046471\tbest: 0.2026452 (132)\ttotal: 344ms\tremaining: 5.37s\n", + "400:\tlearn: 0.1635192\ttest: 0.2059701\tbest: 0.2026452 (132)\ttotal: 441ms\tremaining: 5.05s\n", + "500:\tlearn: 0.1599954\ttest: 0.2067372\tbest: 0.2026452 (132)\ttotal: 558ms\tremaining: 5.01s\n", + "600:\tlearn: 0.1564030\ttest: 0.2074788\tbest: 0.2026452 (132)\ttotal: 663ms\tremaining: 4.85s\n", + "Stopped by overfitting detector (500 iterations wait)\n", + "\n", + "bestTest = 0.2026452004\n", + "bestIteration = 132\n", + "\n", + "Shrink model to first 133 iterations.\n", + "0:\tlearn: 0.2081645\ttest: 0.2234853\tbest: 0.2234853 (0)\ttotal: 1.06ms\tremaining: 5.32s\n", + "100:\tlearn: 0.1830416\ttest: 0.1983601\tbest: 0.1983601 (100)\ttotal: 89.7ms\tremaining: 4.35s\n", + "200:\tlearn: 0.1764459\ttest: 0.1906699\tbest: 0.1906699 (200)\ttotal: 202ms\tremaining: 4.83s\n", + "300:\tlearn: 0.1725523\ttest: 0.1887852\tbest: 0.1886834 (284)\ttotal: 307ms\tremaining: 4.79s\n", + "400:\tlearn: 0.1695154\ttest: 0.1877802\tbest: 0.1877044 (384)\ttotal: 441ms\tremaining: 5.06s\n", + "500:\tlearn: 0.1667373\ttest: 0.1876195\tbest: 0.1876195 (500)\ttotal: 536ms\tremaining: 4.81s\n", + "600:\tlearn: 0.1635846\ttest: 0.1881362\tbest: 0.1876075 (503)\ttotal: 679ms\tremaining: 4.97s\n", + "700:\tlearn: 0.1607667\ttest: 0.1877806\tbest: 0.1876075 (503)\ttotal: 771ms\tremaining: 4.73s\n", + "800:\tlearn: 0.1580077\ttest: 0.1876148\tbest: 0.1875523 (794)\ttotal: 882ms\tremaining: 4.62s\n", + "900:\tlearn: 0.1557013\ttest: 0.1875733\tbest: 0.1875069 (822)\ttotal: 971ms\tremaining: 4.42s\n", + "1000:\tlearn: 0.1533426\ttest: 0.1880110\tbest: 0.1875069 (822)\ttotal: 1.1s\tremaining: 4.38s\n", + "1100:\tlearn: 0.1513860\ttest: 0.1886087\tbest: 0.1875069 (822)\ttotal: 1.19s\tremaining: 4.21s\n", + "1200:\tlearn: 0.1488173\ttest: 0.1896967\tbest: 0.1875069 (822)\ttotal: 1.3s\tremaining: 4.1s\n", + "1300:\tlearn: 0.1461068\ttest: 0.1905671\tbest: 0.1875069 (822)\ttotal: 1.4s\tremaining: 3.98s\n", + "Stopped by overfitting detector (500 iterations wait)\n", + "\n", + "bestTest = 0.1875069368\n", + "bestIteration = 822\n", + "\n", + "Shrink model to first 823 iterations.\n", + "0:\tlearn: 0.2127787\ttest: 0.2065350\tbest: 0.2065350 (0)\ttotal: 1.04ms\tremaining: 5.21s\n", + "100:\tlearn: 0.1867680\ttest: 0.1874736\tbest: 0.1874736 (100)\ttotal: 112ms\tremaining: 5.41s\n", + "200:\tlearn: 0.1777852\ttest: 0.1877269\tbest: 0.1866778 (123)\ttotal: 226ms\tremaining: 5.41s\n", + "300:\tlearn: 0.1732305\ttest: 0.1892600\tbest: 0.1866778 (123)\ttotal: 321ms\tremaining: 5.01s\n", + "400:\tlearn: 0.1700595\ttest: 0.1905574\tbest: 0.1866778 (123)\ttotal: 410ms\tremaining: 4.7s\n", + "500:\tlearn: 0.1671602\ttest: 0.1912499\tbest: 0.1866778 (123)\ttotal: 501ms\tremaining: 4.5s\n", + "600:\tlearn: 0.1643526\ttest: 0.1915617\tbest: 0.1866778 (123)\ttotal: 601ms\tremaining: 4.4s\n", + "Stopped by overfitting detector (500 iterations wait)\n", + "\n", + "bestTest = 0.1866777773\n", + "bestIteration = 123\n", + "\n", + "Shrink model to first 124 iterations.\n", + "0:\tlearn: 0.2134981\ttest: 0.2029683\tbest: 0.2029683 (0)\ttotal: 1.34ms\tremaining: 6.7s\n", + "100:\tlearn: 0.1884117\ttest: 0.1792734\tbest: 0.1792734 (100)\ttotal: 105ms\tremaining: 5.08s\n", + "200:\tlearn: 0.1802974\ttest: 0.1747837\tbest: 0.1747608 (188)\ttotal: 219ms\tremaining: 5.24s\n", + "300:\tlearn: 0.1755450\ttest: 0.1743983\tbest: 0.1743297 (292)\ttotal: 320ms\tremaining: 5s\n", + "400:\tlearn: 0.1714775\ttest: 0.1744935\tbest: 0.1742771 (326)\ttotal: 422ms\tremaining: 4.84s\n", + "500:\tlearn: 0.1679037\ttest: 0.1749257\tbest: 0.1742771 (326)\ttotal: 516ms\tremaining: 4.63s\n", + "600:\tlearn: 0.1644564\ttest: 0.1756507\tbest: 0.1742771 (326)\ttotal: 627ms\tremaining: 4.59s\n", + "700:\tlearn: 0.1610518\ttest: 0.1765478\tbest: 0.1742771 (326)\ttotal: 738ms\tremaining: 4.52s\n", + "800:\tlearn: 0.1582828\ttest: 0.1772818\tbest: 0.1742771 (326)\ttotal: 839ms\tremaining: 4.4s\n", + "Stopped by overfitting detector (500 iterations wait)\n", + "\n", + "bestTest = 0.1742771224\n", + "bestIteration = 326\n", + "\n", + "Shrink model to first 327 iterations.\n", + "0:\tlearn: 0.2131309\ttest: 0.2034499\tbest: 0.2034499 (0)\ttotal: 1.07ms\tremaining: 5.35s\n", + "100:\tlearn: 0.1831531\ttest: 0.1942513\tbest: 0.1940467 (92)\ttotal: 89.5ms\tremaining: 4.34s\n", + "200:\tlearn: 0.1743874\ttest: 0.1960204\tbest: 0.1939128 (119)\ttotal: 221ms\tremaining: 5.27s\n", + "300:\tlearn: 0.1696565\ttest: 0.1983809\tbest: 0.1939128 (119)\ttotal: 319ms\tremaining: 4.98s\n", + "400:\tlearn: 0.1659821\ttest: 0.1998092\tbest: 0.1939128 (119)\ttotal: 418ms\tremaining: 4.79s\n", + "500:\tlearn: 0.1626480\ttest: 0.2014341\tbest: 0.1939128 (119)\ttotal: 514ms\tremaining: 4.62s\n", + "600:\tlearn: 0.1593397\ttest: 0.2024361\tbest: 0.1939128 (119)\ttotal: 601ms\tremaining: 4.4s\n", + "Stopped by overfitting detector (500 iterations wait)\n", + "\n", + "bestTest = 0.1939127814\n", + "bestIteration = 119\n", + "\n", + "Shrink model to first 120 iterations.\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "import pickle \n", + "\n", + "with open('models_vtorichka.pkl', 'wb') as f:\n", + " pickle.dump(models, f)" + ], + "metadata": { + "id": "LuUXVv6wsto7" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "import uuid" + ], + "metadata": { + "id": "88sjMEUnvS16" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "df['id'] = [str(uuid.uuid4()) for i in range(df.shape[0])]" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "V8PatXqMv12q", + "outputId": "23782a79-969e-4607-9f18-46b86e8d0d01" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":1: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df['id'] = [str(uuid.uuid4()) for i in range(df.shape[0])]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "full_data = pd.concat(data)" + ], + "metadata": { + "id": "G81m40Zev9Jj" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "full_data['pred_price'] = np.concatenate(np.array(preds))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "-xH6NW7rwDRg", + "outputId": "42bdd58d-730d-49e8-c958-ed86a0a714f1" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":1: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.\n", + " full_data['pred_price'] = np.concatenate(np.array(preds))\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "full_data['diff'] = (full_data['pred_price']-full_data['price'])/(full_data['price']*100)*10000" + ], + "metadata": { + "id": "8Q15MWTjxbVA" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "sns.distplot(full_data['diff'])" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 351 + }, + "id": "AhY2fdDaxklU", + "outputId": "c4343704-b7b6-4e19-ac7f-0c044be76a6e" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/usr/local/lib/python3.8/dist-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 106 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "source": [ + "full_data = full_data[(full_data['diff'] > -40) & (full_data['diff'] < 40)]" + ], + "metadata": { + "id": "LVqw0yno1otY" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "sns.distplot(full_data['diff'])" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 351 + }, + "id": "YeVaBMq913Xg", + "outputId": "c6c89ee9-0b4f-4bf4-86f7-52f2940411dc" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/usr/local/lib/python3.8/dist-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 108 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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+ }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "source": [ + "from sklearn.metrics import mean_absolute_percentage_error\n", + "1-mean_absolute_percentage_error(full_data['price'], full_data['pred_price'])" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Eo2R38Mo14Rk", + "outputId": "3bfa5396-5357-4d10-96c4-31df7e9cd2cc" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "0.8755430954272614" + ] + }, + "metadata": {}, + "execution_count": 110 + } + ] + }, + { + "cell_type": "code", + "source": [ + "marker = []\n", + "for diff in full_data['diff']:\n", + " if diff >= 3:\n", + " marker.append('overpriced')\n", + " elif diff <= -3:\n", + " marker.append('underpriced')\n", + " else:\n", + " marker.append('riskey')" + ], + "metadata": { + "id": "iuDeTnh72Bpi" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "full_data['marker'] = marker" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "nuCT6GnB22If", + "outputId": "6097b72e-dcaa-4eac-c497-d8f6c3d8645c" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":1: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " full_data['marker'] = marker\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "full_data = full_data[~full_data['marker'].isin(['riskey'])]" + ], + "metadata": { + "id": "i97F-t_Q28x7" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "full_data.to_csv('vtorichka_final.csv', index=False)" + ], + "metadata": { + "id": "ad4O7c_929iE" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "full_data" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 487 + }, + "id": "qNGLilGP3Eoq", + "outputId": "c8887e92-129b-4374-dfd5-c694eb0179b7" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " link floor rooms_count \\\n", + "1 https://krasnodar.cian.ru/sale/flat/279661943/ 20 1 \n", + "20 https://krasnodar.cian.ru/sale/flat/283765339/ 5 1 \n", + "58 https://krasnodar.cian.ru/sale/flat/280008092/ 10 2 \n", + "72 https://krasnodar.cian.ru/sale/flat/283282828/ 6 2 \n", + "73 https://krasnodar.cian.ru/sale/flat/283383338/ 6 1 \n", + ".. ... ... ... \n", + "104 https://krasnodar.cian.ru/sale/flat/277400873/ 5 2 \n", + "106 https://krasnodar.cian.ru/sale/flat/279004402/ 3 1 \n", + "112 https://krasnodar.cian.ru/sale/flat/280209896/ 15 1 \n", + "118 https://krasnodar.cian.ru/sale/flat/273790417/ 2 1 \n", + "130 https://krasnodar.cian.ru/sale/flat/257283764/ 4 2 \n", + "\n", + " total_meters price year_of_construction living_meters \\\n", + "1 43.0 4950000 2021 18.2 \n", + "20 40.0 4100000 2006 22.9 \n", + "58 61.2 7150000 2017 11.5 \n", + "72 63.4 4530000 2010 31.5 \n", + "73 41.5 3500000 2017 19.7 \n", + ".. ... ... ... ... \n", + "104 50.0 4900000 1965 28.0 \n", + "106 39.1 4900000 2017 18.0 \n", + "112 40.5 4900000 2018 16.0 \n", + "118 41.7 4900000 2012 22.0 \n", + "130 60.0 5800000 2014 34.0 \n", + "\n", + " kitchen_meters pred_price diff marker \n", + "1 14.8 4.283516e+06 -13.464333 underpriced \n", + "20 9.7 3.961314e+06 -3.382591 underpriced \n", + "58 11.2 4.384590e+06 -38.677063 underpriced \n", + "72 16.8 4.974593e+06 9.814404 overpriced \n", + "73 10.8 4.035056e+06 15.287324 overpriced \n", + ".. ... ... ... ... \n", + "104 -1.0 4.098767e+06 -16.351694 underpriced \n", + "106 10.0 3.849727e+06 -21.434151 underpriced \n", + "112 13.0 4.065052e+06 -17.039765 underpriced \n", + "118 10.0 3.836344e+06 -21.707273 underpriced \n", + "130 10.0 4.615458e+06 -20.423139 underpriced \n", + "\n", + "[682 rows x 11 columns]" + ], + "text/html": [ + "\n", + "
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linkfloorrooms_counttotal_meterspriceyear_of_constructionliving_meterskitchen_meterspred_pricediffmarker
1https://krasnodar.cian.ru/sale/flat/279661943/20143.04950000202118.214.84.283516e+06-13.464333underpriced
20https://krasnodar.cian.ru/sale/flat/283765339/5140.04100000200622.99.73.961314e+06-3.382591underpriced
58https://krasnodar.cian.ru/sale/flat/280008092/10261.27150000201711.511.24.384590e+06-38.677063underpriced
72https://krasnodar.cian.ru/sale/flat/283282828/6263.44530000201031.516.84.974593e+069.814404overpriced
73https://krasnodar.cian.ru/sale/flat/283383338/6141.53500000201719.710.84.035056e+0615.287324overpriced
....................................
104https://krasnodar.cian.ru/sale/flat/277400873/5250.04900000196528.0-1.04.098767e+06-16.351694underpriced
106https://krasnodar.cian.ru/sale/flat/279004402/3139.14900000201718.010.03.849727e+06-21.434151underpriced
112https://krasnodar.cian.ru/sale/flat/280209896/15140.54900000201816.013.04.065052e+06-17.039765underpriced
118https://krasnodar.cian.ru/sale/flat/273790417/2141.74900000201222.010.03.836344e+06-21.707273underpriced
130https://krasnodar.cian.ru/sale/flat/257283764/4260.05800000201434.010.04.615458e+06-20.423139underpriced
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682 rows × 11 columns

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\n", + " \n", + " \n", + " \n", + "\n", + " \n", + "
\n", + "
\n", + " " + ] + }, + "metadata": {}, + "execution_count": 119 + } + ] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "b3tUDuIN3iFr" + }, + "execution_count": null, + "outputs": [] + } + ] +} \ No newline at end of file diff --git a/merged_stats_final.csv b/merged_stats_final.csv new file mode 100644 index 0000000..d83d9df --- /dev/null +++ b/merged_stats_final.csv @@ -0,0 +1,154 @@ +id,days_to_done_x,price_at_moment,1000_to_done,700_to_done,500_to_done,300_to_done,max_price_after_invest,increase,increase_procent,days_for_increase,status,200_to_done,100_to_done,50_to_done,0_to_done,-50_to_done,-100_to_done,risk,community,liter_num,done_date,developer,floor,area,num_beds,days_to_done_y +6aec4e83-9c8c-4868-a88d-200acf50c6a9,414,4313432,4383463,4402803,4351453,4353278,4353278,39846,0.92,114,short,4300979,4272868,4272868,4171391,4171391,4168944,riskey,ЖК «Смородина»,1-5,2023-03-15,ООО «АЛЬФА»,1-4,32.95,1,414 +3a3e88ed-5671-4893-b276-6e31e09d425b,414,4614225,4688287,4709698,4654842,4656792,4656792,42567,0.92,114,short,4600921,4570891,4570891,4446567,4446567,4430335,riskey,ЖК «Смородина»,1-5,2023-03-15,ООО «АЛЬФА»,1-4,35.2,1,414 +1337487c-fc88-4084-82c9-6325c624cdeb,689,4402803,4383463,4402803,4351453,4353278,4353278,-49525,-1.12,389,long,4300979,4272868,4272868,4171391,4171391,4168944,bad,ЖК «Смородина»,2-3-4,2023-12-15,ООО «АЛЬФА»,1-4,32.95,1,689 +eed05176-e97e-476d-9641-17253135c7e6,689,4709698,4688287,4709698,4654842,4656792,4656792,-52906,-1.12,389,long,4600921,4570891,4570891,4446567,4446567,4430335,bad,ЖК «Смородина»,2-3-4,2023-12-15,ООО «АЛЬФА»,1-4,35.2,1,689 +894d96d7-0319-4f84-a26f-a89d918b0ec6,689,5606903,5733590,5606903,5495606,5513751,5867835,260932,4.65,639,long,5608027,5867835,5867835,5759654,5759654,5704205,riskey,ЖК «Смородина»,2-3-4,2023-12-15,ООО «АЛЬФА»,1-4,50.0,2,689 +fdabfcbf-3a51-4c7f-8db9-59d17d11fde6,689,6411950,6670947,6411950,6283336,6289946,6752350,340400,5.31,639,long,6391540,6752350,6752350,6733832,6733832,6660380,riskey,ЖК «Смородина»,2-3-4,2023-12-15,ООО «АЛЬФА»,1-4,57.78,2,689 +99279e68-68bf-4d9c-a85e-811503a9b879,689,6359777,6610846,6359777,6231141,6237752,6700236,340459,5.35,639,long,6339363,6700236,6700236,6681715,6681715,6608250,riskey,ЖК «Смородина»,2-3-4,2023-12-15,ООО «АЛЬФА»,5-8,57.79,2,689 +c919e09d-40dd-4457-b38c-df45d4454adc,689,6330762,6580428,6330762,6202103,6208716,6671279,340517,5.38,639,long,6310344,6671279,6671279,6652755,6652755,6579278,riskey,ЖК «Смородина»,2-3-4,2023-12-15,ООО «АЛЬФА»,9-12,57.8,2,689 +c2ed291a-c51c-4eb1-88e1-f34323543186,689,6331857,6581566,6331857,6203176,6209790,6672433,340576,5.38,639,long,6311436,6672433,6672433,6653906,6653906,6580416,riskey,ЖК «Смородина»,2-3-4,2023-12-15,ООО «АЛЬФА»,13-16,57.81,2,689 +36e3517f-20f5-493d-adad-4305228ff1fb,689,7409322,7853157,7409322,7237317,7245566,7737968,328646,4.44,639,long,7337370,7737968,7737968,7716104,7716104,7660412,riskey,ЖК «Смородина»,2-3-4,2023-12-15,ООО «АЛЬФА»,1-4,68.22,3,689 +ee1c04dc-467a-4c13-9a74-4f0a8b9b31b1,141,5843927,4242502,4746304,4915806,5223617,5887562,43635,0.75,191,short,5488616,5877197,5877197,5887562,5887562,5876866,riskey,ЖК «The Grand Palace»,,2022-06-15,ООО «АВА ДЕВЕЛОПМЕНТ»,6-7,23.5,1,141 +a44a321e-fa8b-4b18-ba2c-729a9559ece6,141,7018248,5013352,5645583,5854755,6251666,7143527,125279,1.79,191,short,6577089,7079315,7079315,7143527,7143527,7042685,riskey,ЖК «The Grand Palace»,,2022-06-15,ООО «АВА ДЕВЕЛОПМЕНТ»,6-7,29.0,1,141 +87c9ca8d-224a-4477-b0f6-7251d20d85ef,141,8300540,6300799,7096097,7243269,7767750,8546109,245569,2.96,191,short,7941492,8420080,8420080,8546109,8546109,8353621,riskey,ЖК «The Grand Palace»,,2022-06-15,ООО «АВА ДЕВЕЛОПМЕНТ»,6-7,44.0,2,141 +ecad396a-b2b5-4a88-b66a-82497861b407,141,9690871,7616571,8416682,8597301,9195240,9944738,253867,2.62,191,short,9365185,9863064,9863064,9944738,9944738,9662698,riskey,ЖК «The Grand Palace»,,2022-06-15,ООО «АВА ДЕВЕЛОПМЕНТ»,6-7,54.0,2,141 +a6e8dcc5-879f-41bd-bcba-4c7dd41e1045,141,11653678,9552742,10281631,10568367,11311935,12019824,366146,3.14,191,short,11467293,11916975,11916975,12019824,12019824,11652405,riskey,ЖК «The Grand Palace»,,2022-06-15,ООО «АВА ДЕВЕЛОПМЕНТ»,6-7,68.0,2,141 +ab9571a6-7eab-485d-92a5-05e5bb3c5827,141,11767235,9109360,10085425,10300830,11001442,12015445,248210,2.11,191,short,11286291,11918041,11918041,12015445,12015445,11736004,riskey,ЖК «The Grand Palace»,,2022-06-15,ООО «АВА ДЕВЕЛОПМЕНТ»,6-7,64.4,3,141 +431d1881-96de-4c6f-bd7c-0532cb98d24e,141,13535448,10636283,11608986,11927769,12727537,13909198,373750,2.76,191,short,13069800,13779762,13779762,13909198,13909198,13763199,riskey,ЖК «The Grand Palace»,,2022-06-15,ООО «АВА ДЕВЕЛОПМЕНТ»,6-7,75.6,3,141 +04c5c640-ae1e-49b9-b936-d5ecf8665efe,233,9105909,7088960,8147601,8467551,9105909,10532253,1426344,15.66,283,short,9530742,10309566,10309566,10532253,10532253,10339765,good,"ЖК «AVrorA»,",,2022-09-15,ООО «АльфаСтройКомплекс»,2,44.0,1,233 +19ed65e4-005b-4f62-a129-c0e3b866ade0,233,9546796,7475984,8530651,8872415,9546796,11120472,1573676,16.48,283,short,9976949,10882601,10882601,11120472,11120472,10891154,good,"ЖК «AVrorA»,",,2022-09-15,ООО «АльфаСтройКомплекс»,1-4,47.0,1,233 +6a84b353-5e95-46b7-bcad-c37193b75863,233,9942669,7807007,8883283,9239591,9942669,11575879,1633210,16.43,283,short,10391126,11327886,11327886,11575879,11575879,11336802,good,"ЖК «AVrorA»,",,2022-09-15,ООО «АльфаСтройКомплекс»,2,49.0,1,233 +0c3f6cf4-6873-4ea1-9e0b-5d7673e17403,233,10346816,8132150,9243373,9614224,10346816,12022076,1675260,16.19,283,short,10813578,11773693,11773693,12022076,12022076,11771514,good,"ЖК «AVrorA»,",,2022-09-15,ООО «АльфаСтройКомплекс»,3-4,51.0,1,233 +e18a233f-ac3b-44c3-bf42-c7f25733f2fd,233,10442681,8231922,9329474,9707596,10442681,12150859,1708178,16.36,283,short,10918595,11905570,11905570,12150859,12150859,11883065,good,"ЖК «AVrorA»,",,2022-09-15,ООО «АльфаСтройКомплекс»,2,52.0,1,233 +385a1c11-6192-48b5-9d2f-8a5c15d37edb,233,10806495,8556904,9657207,10042601,10806495,12484443,1677948,15.53,283,short,11275744,12234436,12234436,12484443,12484443,12207626,good,"ЖК «AVrorA»,",,2022-09-15,ООО «АльфаСтройКомплекс»,1-4,53.0,1,233 +df3ec9b9-07ee-4416-b5be-1b069bb7aad7,233,12334179,9894065,11036355,11487193,12334179,14337620,2003441,16.24,283,short,12883111,14004601,14004601,14337620,14337620,14002620,good,"ЖК «AVrorA»,",,2022-09-15,ООО «АльфаСтройКомплекс»,3-4,62.0,1,233 +dec08247-72f5-4866-9047-d9f3c431180b,233,12280391,10181659,11081718,11454665,12280391,14085462,1805071,14.7,283,short,12650911,13725491,13725491,14085462,14085462,13723446,good,"ЖК «AVrorA»,",,2022-09-15,ООО «АльфаСтройКомплекс»,2,67.0,2,233 +c4c5060c-c3ac-442c-afc1-544e847d05e9,233,12878339,10642070,11671028,12060673,12878339,15053222,2174883,16.89,283,short,13332061,14622314,14622314,15053222,15053222,14691093,good,"ЖК «AVrorA»,",,2022-09-15,ООО «АльфаСтройКомплекс»,1-4,70.0,2,233 +a732ed2c-e196-473e-8c0e-8efd6dac2585,233,14120132,11804835,12806439,13218726,14120132,16312842,2192710,15.53,283,short,14587229,15899528,15899528,16312842,16312842,16150843,good,"ЖК «AVrorA»,",,2022-09-15,ООО «АльфаСтройКомплекс»,2,80.0,2,233 +b5a3f13e-73c5-4133-b2d6-2568afe8057a,233,15029716,12530203,13637331,14075386,15029716,17359471,2329755,15.5,283,short,15526007,16920325,16920325,17359471,17359471,17187347,good,"ЖК «AVrorA»,",,2022-09-15,ООО «АльфаСтройКомплекс»,3-4,85.0,2,233 +1d2c9d80-3bd2-4a13-8544-9b0154dce60f,233,21088802,17953328,19200540,19720281,21088802,24111578,3022776,14.33,283,short,21813231,23596461,23596461,24111578,24111578,24049421,good,"ЖК «AVrorA»,",,2022-09-15,ООО «АльфаСтройКомплекс»,3,120.0,3,233 +9920609a-8a3b-40e9-bafa-37ef250faecb,233,22975198,19246443,20996613,21508479,22975198,26141399,3166201,13.78,283,short,23717737,25608257,25608257,26141399,26141399,25777669,good,"ЖК «AVrorA»,",,2022-09-15,ООО «АльфаСтройКомплекс»,3-4,123.0,3,233 +0c50976b-520c-4e57-8333-446c522cdd08,233,28359041,22548150,25503004,26212547,28359041,31534564,3175523,11.2,283,short,28991539,30947122,30947122,31534564,31534564,30937703,good,"ЖК «AVrorA»,",,2022-09-15,ООО «АльфаСтройКомплекс»,3-4,127.0,3,233 +9cef4a89-345c-4f25-a1ab-f217b3911163,1055,3988680,4122362,4489136,4486988,4590395,4737612,748932,18.78,1005,long,4592264,4737612,4737612,4736145,4736145,4689665,good,"ЖК «URAL»,",,2024-12-15,ООО «СЗ ВЕРТИКАЛЬ»,3-6,24.0,0,1055 +5bc59d18-6dbf-4b29-845d-89ffe4a5dfe1,1055,5128520,5336347,5880530,5868408,6003247,6464836,1336316,26.06,1105,long,6033179,6314911,6314911,6464836,6464836,6392827,good,"ЖК «URAL»,",,2024-12-15,ООО «СЗ ВЕРТИКАЛЬ»,3-6,36.0,1,1055 +391a1be2-e379-42e3-abb4-d4504cb42bbe,1055,6064159,6368407,7174170,7198773,7421255,8104989,2040830,33.65,1105,long,7534504,7909253,7909253,8104989,8104989,7977505,good,"ЖК «URAL»,",,2024-12-15,ООО «СЗ ВЕРТИКАЛЬ»,3-6,47.0,1,1055 +5d5a0a2d-dec6-4d5a-9743-458312e3432b,1055,7121495,7488287,8112263,8173827,8370943,9221914,2100419,29.49,1105,long,8576774,9018775,9018775,9221914,9221914,9067337,good,"ЖК «URAL»,",,2024-12-15,ООО «СЗ ВЕРТИКАЛЬ»,3-6,60.0,2,1055 +00be775b-f219-4afa-93f7-bb696124afdd,1055,8785269,9128630,9869452,9985103,10316977,11727644,2942375,33.49,1155,long,10591361,11393464,11393464,11657210,11657210,11727644,good,"ЖК «URAL»,",,2024-12-15,ООО «СЗ ВЕРТИКАЛЬ»,3-6,78.0,3,1055 +ecda2c4b-77e5-4e94-8c3a-f072903c33ed,1055,10224199,10630057,11380447,11500151,11820099,13449148,3224949,31.54,1155,long,12106685,13059710,13059710,13366975,13366975,13449148,good,"ЖК «URAL»,",,2024-12-15,ООО «СЗ ВЕРТИКАЛЬ»,3-6,91.0,3,1055 +b7d52019-d3a4-4bba-9243-5c6b6e64ed8f,-41,3469042,3638400,3597435,3583642,3540516,3469042,0,0.0,9,short,3542721,3518594,3518594,3469042,3469042,3424904,bad,ЖК «Зеленодар»,1,2021-12-15,"ООО «Модо Капитал», ",1-8,26.0,1,-41 +2875283d-9666-4ba0-83e1-119c0cf988d9,-41,3978840,4278564,4204739,4168571,4107060,3978840,0,0.0,9,short,4126220,4054518,4054518,3978840,3978840,3926214,bad,ЖК «Зеленодар»,1,2021-12-15,"ООО «Модо Капитал», ",1-8,31.0,1,-41 +15acad57-bdb5-41bd-aec9-dc6b32928a18,-41,3974726,4412988,4294765,4228028,4130761,3974726,0,0.0,9,short,4131097,4061206,4061206,3974726,3974726,3931668,bad,ЖК «Зеленодар»,1,2021-12-15,"ООО «Модо Капитал», ",1-2,33.0,1,-41 +8cec8102-237d-4061-86d7-90125a008fa5,-41,4262495,4769175,4640205,4567400,4461291,4262495,0,0.0,9,short,4446948,4356837,4356837,4262495,4262495,4224353,bad,ЖК «Зеленодар»,1,2021-12-15,"ООО «Модо Капитал», ",1-2,36.0,1,-41 +b8784800-29d7-4524-bbd1-45d215be9de3,506,5011940,5176681,5094905,5011940,4925334,5011940,0,0.0,6,short,4909398,4788373,4788373,4683549,4683549,4632858,bad,ЖК «Зеленодар»,4A,2023-06-15,"ООО «Модо Капитал», ",1,40.0,1,506 +ba16d146-e21d-409b-9448-21e30e62baf3,506,6998132,7707613,7131439,6998132,6890721,7459701,461569,6.6,556,long,6993879,7315935,7315935,7459701,7459701,7375767,riskey,ЖК «Зеленодар»,4A,2023-06-15,"ООО «Модо Капитал», ",1,70.0,2,506 +569ae3a3-51d7-4d8b-895a-d56a1f7cd429,506,9017322,9843385,9195293,9017322,8790550,9648285,630963,7.0,606,long,8728117,9417434,9417434,9571329,9571329,9648285,good,ЖК «Зеленодар»,4A,2023-06-15,"ООО «Модо Капитал», ",2-4,91.0,3,506 +ba727824-0962-4510-8d18-b4b313940f56,233,9743447,9340549,9605396,9455754,9743447,10641963,898516,9.22,333,short,9948315,10559716,10559716,10632860,10632860,10641963,good,ЖК «Fresh»,2,2022-09-15,ООО «АВА ДЕВЕЛОПМЕНТ ПЛЮС»,3-9,89.0,3,233 +7164f74a-b9f2-4fea-98cc-126f21da8826,233,9905061,9647959,9776024,9614613,9905061,10959250,1054189,10.64,333,short,10098466,10784442,10784442,10863339,10863339,10959250,good,ЖК «Fresh»,2,2022-09-15,ООО «АВА ДЕВЕЛОПМЕНТ ПЛЮС»,3-9,96.0,3,233 +e6759abd-4c54-4054-b187-8186a2e37b6e,233,9977066,9768443,9866702,9701928,9977066,11038622,1061556,10.64,333,short,10205269,10835105,10835105,10915646,10915646,11038622,good,ЖК «Fresh»,2,2022-09-15,ООО «АВА ДЕВЕЛОПМЕНТ ПЛЮС»,3-9,98.0,3,233 +330fedbd-85ea-411e-abca-62d1eb0c1fae,233,10931224,10702774,10807048,10632187,10931224,12085499,1154275,10.56,333,short,11173398,11959109,11959109,12044581,12044581,12085499,good,ЖК «Fresh»,2,2022-09-15,ООО «АВА ДЕВЕЛОПМЕНТ ПЛЮС»,3-9,104.0,3,233 +818c6fa2-afd6-4053-84c9-28272c4a4bfe,506,9669487,9728944,9832579,9669487,9962961,11058585,1389098,14.37,606,long,10188835,10881957,10881957,10961676,10961676,11058585,good,ЖК «Fresh»,3,2023-06-15,ООО «АВА ДЕВЕЛОПМЕНТ ПЛЮС»,3-6,97.0,3,506 +c1b387c3-7fe5-4053-9044-ab18b0a4f473,964,5112340,5112340,5546803,5549036,5778932,5810050,697710,13.65,764,long,5810050,5807780,5807780,5786144,5786144,5707975,good,ЖК «Fresh»,4,2024-09-15,ООО «АВА ДЕВЕЛОПМЕНТ ПЛЮС»,3-6,40.0,1,964 +d4ff95ec-94a3-4550-b5b5-88c3db39a818,1055,5066448,5258929,5710851,5704649,5951827,6014544,948096,18.71,1005,long,5994239,6014544,6014544,5991826,5991826,5909748,good,ЖК «Fresh»,4,2024-12-15,ООО «АВА ДЕВЕЛОПМЕНТ ПЛЮС»,3-6,42.0,1,1055 +07b9d056-15c8-4f41-905c-223a79bb061e,1055,4975210,5163109,5604597,5598542,5834186,5885903,910693,18.3,1005,long,5866082,5885903,5885903,5863727,5863727,5783603,good,ЖК «Fresh»,4,2024-12-15,ООО «АВА ДЕВЕЛОПМЕНТ ПЛЮС»,3-6,41.0,1,1055 +8642ebd7-491a-48c8-a22d-12da82f0a567,1055,6849271,7122095,7518397,7458087,7710962,8305834,1456563,21.27,1105,long,7894465,8303436,8303436,8305834,8305834,8145727,good,ЖК «Fresh»,4,2024-12-15,ООО «АВА ДЕВЕЛОПМЕНТ ПЛЮС»,3-6,65.0,2,1055 +2a2f4bd1-ec19-4109-9743-d38a048a7f48,1055,7252457,7533675,7797884,7715927,7999578,8476867,1224410,16.88,1105,long,8145782,8474394,8474394,8476867,8476867,8311833,good,ЖК «Fresh»,4,2024-12-15,ООО «АВА ДЕВЕЛОПМЕНТ ПЛЮС»,3-6,67.0,2,1055 +5a878850-9ec1-4846-a793-fb9b7d030bcf,1055,9185899,9556661,9814786,9660101,9957491,10952849,1766950,19.24,1155,long,10169265,10867829,10867829,10943439,10943439,10952849,good,ЖК «Fresh»,4,2024-12-15,ООО «АВА ДЕВЕЛОПМЕНТ ПЛЮС»,3-6,92.0,3,1055 +729244f5-7a38-4e5d-b920-76c0545a550f,1055,9101012,9483863,9764240,9604511,9891933,10992351,1891339,20.78,1155,long,10110612,10819365,10819365,10897440,10897440,10992351,good,ЖК «Fresh»,4,2024-12-15,ООО «АВА ДЕВЕЛОПМЕНТ ПЛЮС»,3-6,95.0,3,1055 +9d8f800c-f9dc-44bc-b8e1-239132a95916,689,4436070,4139002,4436070,4466305,4635859,4635859,199789,4.5,389,long,4621794,4611221,4611221,4573932,4573932,4521360,riskey,ЖК «Novella»,1,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,30.0,1,689 +41492226-ad33-4feb-b9ae-48639a87d24f,689,4756940,4411511,4756940,4768726,4949341,4998426,241486,5.08,639,long,4969421,4998426,4998426,4980035,4980035,4933809,riskey,ЖК «Novella»,1,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,34.0,1,689 +07b526d7-c01d-40a4-9d34-34dc0fcfe7ea,689,5255106,4875038,5255106,5268279,5470143,5535300,280194,5.33,639,long,5499705,5535300,5535300,5514746,5514746,5440485,riskey,ЖК «Novella»,1,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,38.0,1,689 +ff77d591-a2f3-4347-96b0-913234614fd6,689,5631657,5196348,5631657,5635495,5860421,5951731,320074,5.68,639,long,5902833,5951731,5951731,5929013,5929013,5846935,riskey,ЖК «Novella»,1,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,42.0,1,689 +444e4396-b83f-4192-9dc6-12d63b421fd2,689,6643310,6331378,6643310,6610367,6840558,7354959,711649,10.71,739,long,7004299,7352819,7352819,7354959,7354959,7212094,good,ЖК «Novella»,1,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,58.0,2,689 +8108a537-f42f-4fa3-becb-a2bd0448f1b2,689,7197898,6849415,7197898,7162115,7412149,7970895,772997,10.74,739,long,7590006,7968571,7968571,7970895,7970895,7815715,good,ЖК «Novella»,1,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,63.0,2,689 +8eb8a4d2-ce46-4398-82c5-9ed7f3ad6988,689,7501338,7167069,7501338,7444354,7706295,8275172,773834,10.32,739,long,7892621,8272737,8272737,8275172,8275172,8112602,good,ЖК «Novella»,1,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,66.0,2,689 +0f8613ca-5367-4e8f-8330-10db5e741144,689,8183307,7924438,8183307,8086320,8385743,9152789,969482,11.85,789,long,8588688,9110274,9110274,9130270,9130270,9152789,good,ЖК «Novella»,1,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,76.0,3,689 +334744a8-132b-415a-94ae-945e02ff962b,689,4756940,4411511,4756940,4768726,4949341,4998426,241486,5.08,639,long,4969421,4998426,4998426,4980035,4980035,4933809,riskey,ЖК «Novella»,4-5-6,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,34.0,1,689 +85a09177-fcd3-45af-87fe-513ae29ff9c4,689,5255106,4875038,5255106,5268279,5470143,5535300,280194,5.33,639,long,5499705,5535300,5535300,5514746,5514746,5440485,riskey,ЖК «Novella»,4-5-6,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,38.0,1,689 +a779965e-c3f2-4ac5-b670-e26d915660d8,689,5925333,5510759,5925333,5929446,6174082,6312041,386708,6.53,639,long,6219523,6312041,6312041,6287701,6287701,6188750,riskey,ЖК «Novella»,4-5-6,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,45.0,1,689 +82653222-db9b-45f4-93c7-2a8f6aa3cec2,689,7102832,6759881,7102832,7067617,7313683,7863560,760728,10.71,739,long,7488717,7861272,7861272,7863560,7863560,7710842,good,ЖК «Novella»,4-5-6,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,62.0,2,689 +8dbeea00-4092-43b3-af81-b885bf7a8df6,689,7641526,7446480,7641526,7583679,7872584,8340762,699236,9.15,739,long,8018789,8338290,8338290,8340762,8340762,8175729,good,ЖК «Novella»,4-5-6,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,67.0,2,689 +3dce20e0-c645-4904-b68b-e20afba0000b,689,7610859,7436683,7610859,7552149,7845949,8285071,674212,8.86,739,long,7994335,8282562,8282562,8285071,8285071,8117575,good,ЖК «Novella»,4-5-6,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,68.0,2,689 +73a35b48-0be6-4509-a23c-9f111b3ea4c4,689,7934621,7694672,7934621,7870731,8162274,8899835,965214,12.16,739,long,8368093,8857076,8857076,8899835,8899835,8876437,good,ЖК «Novella»,4-5-6,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,74.0,3,689 +c9180321-56ed-421d-b398-5575eef5f9c9,141,3122487,3231689,3197285,3185606,3191052,3121995,-492,-0.02,91,short,3144414,3121995,3121995,3082196,3082196,3069960,bad,ЖК «Спортивный парк»,7,2022-06-15,ООО «АЛЬФА»,1-8,22.0,0,141 +39caf245-566d-4c7f-b666-0d33c7a25698,141,3802556,3947735,3904270,3889936,3885688,3806897,4341,0.11,91,short,3826963,3806897,3806897,3727821,3727821,3707084,riskey,ЖК «Спортивный парк»,7,2022-06-15,ООО «АЛЬФА»,1-8,27.0,0,141 +ef94979b-04f8-43a1-b45e-35d43e18bec5,141,4984146,5584198,5391410,5286177,5225066,4902397,-81749,-1.64,91,short,5094869,4902397,4902397,4732504,4732504,4706298,bad,ЖК «Спортивный парк»,7,2022-06-15,ООО «АЛЬФА»,1-8,45.0,1,141 +b2b74069-2940-46d2-9aba-da4d21b1906f,141,4809137,5310167,5121125,5025246,4973563,4751549,-57588,-1.2,91,short,4853659,4751549,4751549,4596758,4596758,4582912,bad,ЖК «Спортивный парк»,7,2022-06-15,ООО «АЛЬФА»,1-8,41.0,1,141 +d4547f12-a2ba-4b9b-bcc2-6ae70bf01609,141,5276581,5915416,5717460,5605211,5540026,5189381,-87200,-1.65,91,short,5416905,5189381,5189381,5008162,5008162,4974924,bad,ЖК «Спортивный парк»,8,2022-06-15,ООО «АЛЬФА»,1-8,48.0,1,141 +d25044d5-2e0f-424f-855f-3f37e80b7c0d,141,5614623,6270864,6067132,5947868,5868172,5521973,-92650,-1.65,91,short,5737357,5521973,5521973,5343122,5343122,5303456,bad,ЖК «Спортивный парк»,8,2022-06-15,ООО «АЛЬФА»,1-8,51.0,1,141 +08ff3284-03ee-4e09-8d04-af7731a41dec,233,3191052,3231689,3197285,3185606,3191052,3144414,-46638,-1.46,33,short,3144414,3121995,3121995,3082196,3082196,3069960,bad,ЖК «Спортивный парк»,10,2022-09-15,ООО «АЛЬФА»,1-8,22.0,0,233 +ee7201af-5f5a-472d-bdeb-19ea93543aa7,233,3741773,3801523,3759667,3745864,3741773,3685223,-56550,-1.51,33,short,3685223,3665901,3665901,3589753,3589753,3569785,bad,ЖК «Спортивный парк»,10,2022-09-15,ООО «АЛЬФА»,1-8,26.0,0,233 +f6c383f2-d343-4a69-8e8d-12a94f7d1042,233,4142539,4231591,4171938,4156542,4142539,4079464,-63075,-1.52,33,short,4079464,4052733,4052733,3969743,3969743,3947470,bad,ЖК «Спортивный парк»,10,2022-09-15,ООО «АЛЬФА»,1-8,29.0,0,233 +5f004b43-b97c-41f9-abc1-3dd15f071a64,233,4973563,5310167,5121125,5025246,4973563,4853659,-119904,-2.41,33,short,4853659,4751549,4751549,4596758,4596758,4582912,bad,ЖК «Спортивный парк»,10,2022-09-15,ООО «АЛЬФА»,1-8,41.0,1,233 +fe6cf696-0537-41f4-8955-01f1b9cddabd,233,5225066,5584198,5391410,5286177,5225066,5094869,-130197,-2.49,33,short,5094869,4902397,4902397,4732504,4732504,4706298,bad,ЖК «Спортивный парк»,10,2022-09-15,ООО «АЛЬФА»,1-8,45.0,1,233 +7d3b91ef-af08-4dfc-b3da-be1d74a519fd,313,4832542,5166082,5026365,4947493,4832542,4832542,0,0.0,13,short,4817004,4719383,4719383,4617179,4617179,4567755,bad,ЖК «Зеленодар»,4Б,2023-09-15,"ООО «Модо Капитал», ",2,39.0,1,313 +ed6ec0af-d930-4d07-b42d-08a8fd021528,313,5016272,5286917,5206719,5101421,5016272,5016272,0,0.0,13,short,5000850,4869246,4869246,4759181,4759181,4705955,bad,ЖК «Зеленодар»,4Б,2023-09-15,"ООО «Модо Капитал», ",2,42.0,1,313 +15c91f21-e1d0-4798-83b0-07fb966bfc75,313,6890721,7707613,7131439,6998132,6890721,7459701,568980,8.26,363,short,6993879,7315935,7315935,7459701,7459701,7375767,good,ЖК «Зеленодар»,4Б,2023-09-15,"ООО «Модо Капитал», ",2-8,70.0,2,313 +8ce832fe-dd51-4a85-b0c5-ff8891fdb861,313,8786117,9824340,9186412,9010397,8786117,9616961,830844,9.46,413,long,8724370,9388647,9388647,9540851,9540851,9616961,good,ЖК «Зеленодар»,4Б,2023-09-15,"ООО «Модо Капитал», ",2-4,90.0,3,313 +f9808372-39f2-4d1f-92ad-393eae9556ae,129,3653925,3778338,3735798,3721475,3676690,3653925,0,0.0,79,short,3678979,3653925,3653925,3602466,3602466,3556631,bad,ЖК «Зеленодар»,2,2023-03-15,"ООО «Модо Капитал», ",2-4,27.0,1,129 +dc8ebb62-ebc2-4803-9f77-9bf2b45e1bcc,129,5827031,6045738,5715049,5628164,5539798,5894539,67508,1.16,179,short,5616385,5827031,5827031,5894539,5894539,5830737,riskey,ЖК «Зеленодар»,2,2023-03-15,"ООО «Модо Капитал», ",2-4,54.0,2,129 +6530ea19-bc14-44ea-92bd-eb39028b2876,129,7029651,7540048,6984610,6857015,6770372,7113411,83760,1.19,179,short,6837078,7029651,7029651,7113411,7113411,7037062,riskey,ЖК «Зеленодар»,2,2023-03-15,"ООО «Модо Капитал», ",2-4,67.0,2,129 +8be188a5-c030-48db-9f0b-2b52fed5576f,28,4051123,4257081,4275863,4225994,4227766,4051123,0,0.0,78,short,4176975,4149675,4149675,4051123,4051123,4048747,bad,ЖК «Смородина»,1,2023-03-15,ООО «АЛЬФА»,1-4,32.0,1,28 +5f32742f-c6b7-40d4-89c9-803b0c05c81b,28,4446567,4688287,4709698,4654842,4656792,4446567,0,0.0,78,short,4600921,4570891,4570891,4446567,4446567,4430335,bad,ЖК «Смородина»,1,2023-03-15,ООО «АЛЬФА»,1-4,35.2,1,28 +b12989e8-3631-4599-a9da-e884bc28311f,28,4051123,4257081,4275863,4225994,4227766,4051123,0,0.0,78,short,4176975,4149675,4149675,4051123,4051123,4048747,bad,ЖК «Смородина»,5,2023-03-15,ООО «АЛЬФА»,1-4,32.0,1,28 +63c41d5e-e607-4368-a2d6-10a3039ff63e,28,4446567,4688287,4709698,4654842,4656792,4446567,0,0.0,78,short,4600921,4570891,4570891,4446567,4446567,4430335,bad,ЖК «Смородина»,5,2023-03-15,ООО «АЛЬФА»,1-4,35.2,1,28 +7ea1acde-746b-468f-b266-e5dd6d66ca74,303,4227766,4257081,4275863,4225994,4227766,4227766,0,0.0,3,short,4176975,4149675,4149675,4051123,4051123,4048747,bad,ЖК «Смородина»,4,2023-12-15,ООО «АЛЬФА»,1,32.0,1,303 +028809f2-829c-452e-8576-220ab4dbd33d,303,4656792,4688287,4709698,4654842,4656792,4656792,0,0.0,3,short,4600921,4570891,4570891,4446567,4446567,4430335,bad,ЖК «Смородина»,4,2023-12-15,ООО «АЛЬФА»,1,35.2,1,303 +54f98e28-5f73-4267-930d-5fcb6de9a3db,303,5513751,5733590,5606903,5495606,5513751,5867835,354084,6.42,253,short,5608027,5867835,5867835,5759654,5759654,5704205,riskey,ЖК «Смородина»,4,2023-12-15,ООО «АЛЬФА»,1,50.0,2,303 +2adb1558-a576-4823-b5b1-ae1d6e5d1189,303,4227766,4257081,4275863,4225994,4227766,4227766,0,0.0,3,short,4176975,4149675,4149675,4051123,4051123,4048747,bad,ЖК «Смородина»,2-3,2023-12-15,ООО «АЛЬФА»,1,32.0,1,303 +677d6c49-4e87-44cb-b650-f21ee5eebb15,303,4656792,4688287,4709698,4654842,4656792,4656792,0,0.0,3,short,4600921,4570891,4570891,4446567,4446567,4430335,bad,ЖК «Смородина»,2-3,2023-12-15,ООО «АЛЬФА»,1,35.2,1,303 +fe5cb067-79d2-4fc3-8913-04355bbc7f00,303,5513751,5733590,5606903,5495606,5513751,5867835,354084,6.42,253,short,5608027,5867835,5867835,5759654,5759654,5704205,riskey,ЖК «Смородина»,2-3,2023-12-15,ООО «АЛЬФА»,1,50.0,2,303 +53f92188-4375-49ab-967b-3dddb7e1b79f,303,6205035,6580893,6325392,6198514,6205035,6661196,456161,7.35,253,short,6305257,6661196,6661196,6642929,6642929,6570468,good,ЖК «Смородина»,2-3,2023-12-15,ООО «АЛЬФА»,1-4,57.0,2,303 +a16caaf3-9fd9-48df-9c32-18d4cab144a4,303,7292542,7901086,7444754,7273304,7292542,7638084,345542,4.74,253,short,7364605,7638084,7638084,7616291,7616291,7557441,riskey,ЖК «Смородина»,2-3,2023-12-15,ООО «АЛЬФА»,1-8,68.0,3,303 +3feedb65-4613-44fc-99da-d6e62183ea2d,394,4716951,4792696,4814594,4758491,4760485,4760485,43534,0.92,94,short,4688636,4661930,4661930,4534781,4534781,4518180,riskey,ЖК «Смородина»,7,2024-03-15,ООО «АЛЬФА»,1,36.0,1,394 +81661c36-8a78-43c9-882d-b9fab36e875a,394,5632323,5959228,5818755,5703006,5699363,6081655,449332,7.98,344,short,5797410,6081655,6081655,6007164,6007164,5937178,good,ЖК «Смородина»,7,2024-03-15,ООО «АЛЬФА»,1,52.0,2,394 +17368236-5920-4cae-87d2-f067f31243c3,394,4716951,4792696,4814594,4758491,4760485,4760485,43534,0.92,94,short,4688636,4661930,4661930,4534781,4534781,4518180,riskey,ЖК «Смородина»,8,2024-03-15,ООО «АЛЬФА»,1,36.0,1,394 +d9f23170-833c-47b0-ab39-1c04b0d7ce64,394,5632323,5959228,5818755,5703006,5699363,6081655,449332,7.98,344,short,5797410,6081655,6081655,6007164,6007164,5937178,good,ЖК «Смородина»,8,2024-03-15,ООО «АЛЬФА»,1,52.0,2,394 +66e0bf28-35b7-4128-b168-71ac64e588f1,394,6145982,6580893,6325392,6198514,6205035,6661196,515214,8.38,344,short,6305257,6661196,6661196,6642929,6642929,6570468,good,ЖК «Смородина»,9,2024-03-15,ООО «АЛЬФА»,1-4,57.0,2,394 +a2a378a2-fb9a-427a-a0aa-9e1fc0c0af1e,394,7277598,7901086,7444754,7273304,7292542,7638084,360486,4.95,344,short,7364605,7638084,7638084,7616291,7616291,7557441,riskey,ЖК «Смородина»,9,2024-03-15,ООО «АЛЬФА»,1-4,68.0,3,394 +8b45a005-ad07-4f1b-be2e-ebdd1085caa0,394,6145982,6580893,6325392,6198514,6205035,6661196,515214,8.38,344,short,6305257,6661196,6661196,6642929,6642929,6570468,good,ЖК «Смородина»,10,2024-03-15,ООО «АЛЬФА»,1-4,57.0,2,394 +7850698c-c2a4-401a-ada0-027652a7f487,394,7277598,7901086,7444754,7273304,7292542,7638084,360486,4.95,344,short,7364605,7638084,7638084,7616291,7616291,7557441,riskey,ЖК «Смородина»,10,2024-03-15,ООО «АЛЬФА»,1-4,68.0,3,394 +4df31420-ff1e-430c-b88d-f3cd37520a76,394,4393024,4569305,4474556,4448810,4362715,4362715,-30309,-0.69,94,short,4212760,4103111,4103111,4002058,4002058,4009595,bad,ЖК «Небо»,1,2024-03-15,ООО «СЗ Ярославская»,1,30.0,0,394 +a2b142dc-476e-4d84-b485-55c7fb967ebb,394,5234843,5522825,5421834,5345470,5252506,5252506,17663,0.34,94,short,5066877,4924873,4924873,4765438,4765438,4773947,riskey,ЖК «Небо»,1,2024-03-15,ООО «СЗ Ярославская»,1,40.0,1,394 +ee51fbcf-5f85-41c2-bf37-925fa304fdad,394,5665272,6462521,5943742,5814467,5675431,6341974,676702,11.94,444,long,5758982,6338766,6338766,6341974,6341974,6326359,good,ЖК «Небо»,1,2024-03-15,ООО «СЗ Ярославская»,1,55.0,2,394 +10d087c1-ad16-4185-99ef-c78adad5abcb,394,6413036,7307997,6732011,6583932,6424672,7188168,775132,12.09,444,long,6520376,7184493,7184493,7188168,7188168,7172925,good,ЖК «Небо»,1,2024-03-15,ООО «СЗ Ярославская»,1,63.0,2,394 +b8e75f4b-ffc5-47c6-b4ce-efc1c88a7f7e,394,8124204,9430608,8575164,8305013,8034246,9464355,1340151,16.5,494,long,8021376,9246472,9246472,9314745,9314745,9464355,good,ЖК «Небо»,1,2024-03-15,ООО «СЗ Ярославская»,1,83.0,3,394 +391e0f90-2d8a-441f-9fee-7d4cc1a46c22,394,4393024,4569305,4474556,4448810,4362715,4362715,-30309,-0.69,94,short,4212760,4103111,4103111,4002058,4002058,4009595,bad,ЖК «Небо»,2,2024-03-15,ООО «СЗ Ярославская»,1,30.0,0,394 +3db5c572-9daa-4721-91f6-26ee581607f4,394,5234843,5522825,5421834,5345470,5252506,5252506,17663,0.34,94,short,5066877,4924873,4924873,4765438,4765438,4773947,riskey,ЖК «Небо»,2,2024-03-15,ООО «СЗ Ярославская»,1,40.0,1,394 +312f6a78-c0dc-4e96-9f4a-a79277fd178c,394,5665272,6462521,5943742,5814467,5675431,6341974,676702,11.94,444,long,5758982,6338766,6338766,6341974,6341974,6326359,good,ЖК «Небо»,2,2024-03-15,ООО «СЗ Ярославская»,1,55.0,2,394 +aaef35a9-c180-4dcd-9dad-f03e3ddc3b1d,394,6413036,7307997,6732011,6583932,6424672,7188168,775132,12.09,444,long,6520376,7184493,7184493,7188168,7188168,7172925,good,ЖК «Небо»,2,2024-03-15,ООО «СЗ Ярославская»,1,63.0,2,394 +a84a3428-a053-42fb-9530-1efe42b328dc,394,8124204,9430608,8575164,8305013,8034246,9464355,1340151,16.5,494,long,8021376,9246472,9246472,9314745,9314745,9464355,good,ЖК «Небо»,2,2024-03-15,ООО «СЗ Ярославская»,1,83.0,3,394 +f2331df9-806c-4836-8ade-456d909ff78b,578,4448810,4569305,4474556,4448810,4362715,4448810,0,0.0,78,short,4212760,4103111,4103111,4002058,4002058,4009595,bad,ЖК «Небо»,3,2024-09-15,ООО «СЗ Ярославская»,1,30.0,0,578 +7c3f6830-042b-4018-bef1-0e042f7134f8,578,5345470,5522825,5421834,5345470,5252506,5345470,0,0.0,78,short,5066877,4924873,4924873,4765438,4765438,4773947,bad,ЖК «Небо»,3,2024-09-15,ООО «СЗ Ярославская»,1,40.0,1,578 +c78bca62-df96-4272-81ad-c30bfacf4ea1,578,5814467,6462521,5943742,5814467,5675431,6341974,527507,9.07,628,long,5758982,6338766,6338766,6341974,6341974,6326359,good,ЖК «Небо»,3,2024-09-15,ООО «СЗ Ярославская»,1,55.0,2,578 +711ef05c-97b9-4086-b02c-d38400c18c34,578,6583932,7307997,6732011,6583932,6424672,7188168,604236,9.18,628,long,6520376,7184493,7184493,7188168,7188168,7172925,good,ЖК «Небо»,3,2024-09-15,ООО «СЗ Ярославская»,1,63.0,2,578 +c0a26a50-7cae-4600-961a-066004286faa,578,8305013,9430608,8575164,8305013,8034246,9464355,1159342,13.96,678,long,8021376,9246472,9246472,9314745,9314745,9464355,good,ЖК «Небо»,3,2024-09-15,ООО «СЗ Ярославская»,1,83.0,3,578 +4799ae8a-1487-4bb4-a9b1-8d4d05b6bcd6,578,4448810,4569305,4474556,4448810,4362715,4448810,0,0.0,78,short,4212760,4103111,4103111,4002058,4002058,4009595,bad,ЖК «Небо»,4,2024-09-15,ООО «СЗ Ярославская»,1,30.0,0,578 +b28f27b9-1a60-42ba-9c97-09c781d9966f,578,5345470,5522825,5421834,5345470,5252506,5345470,0,0.0,78,short,5066877,4924873,4924873,4765438,4765438,4773947,bad,ЖК «Небо»,4,2024-09-15,ООО «СЗ Ярославская»,1,40.0,1,578 +12b35773-5910-4584-9235-08a6ed2f446f,578,5814467,6462521,5943742,5814467,5675431,6341974,527507,9.07,628,long,5758982,6338766,6338766,6341974,6341974,6326359,good,ЖК «Небо»,4,2024-09-15,ООО «СЗ Ярославская»,1,55.0,2,578 +db3f08b6-c144-4712-9d7e-29d23ad3a780,578,6583932,7307997,6732011,6583932,6424672,7188168,604236,9.18,628,long,6520376,7184493,7184493,7188168,7188168,7172925,good,ЖК «Небо»,4,2024-09-15,ООО «СЗ Ярославская»,1,63.0,2,578 +33caef86-96e0-4c67-b614-c76c31594a78,578,8305013,9430608,8575164,8305013,8034246,9464355,1159342,13.96,678,long,8021376,9246472,9246472,9314745,9314745,9464355,good,ЖК «Небо»,4,2024-09-15,ООО «СЗ Ярославская»,1,83.0,3,578 +7318f6d8-f4e3-4eef-8c17-b8a7d241bd25,394,4378840,4646720,4521333,4450550,4347389,4347745,-31095,-0.71,194,short,4347745,4273618,4273618,4181897,4181897,4144814,bad,ЖК «Зеленодар»,5A,2024-03-15,"ООО «Модо Капитал», ",2,35.0,1,394 +7e026b84-8290-4c17-a8dc-31b00c9d6304,394,5042785,5286917,5206719,5101421,5016272,5016272,-26513,-0.53,94,short,5000850,4869246,4869246,4759181,4759181,4705955,bad,ЖК «Зеленодар»,5A,2024-03-15,"ООО «Модо Капитал», ",2,42.0,1,394 +59c719c7-947e-45b5-8335-0d4d3628ad03,394,5956569,6219887,6155632,6027770,5928661,5928661,-27908,-0.47,94,short,5917065,5668892,5668892,5525510,5525510,5441056,bad,ЖК «Зеленодар»,5A,2024-03-15,"ООО «Модо Капитал», ",2,51.0,1,394 +50698e18-a2b9-408f-8f88-6236ca7c1b57,394,4102551,4376058,4198984,4158512,4087511,4309719,207168,5.05,344,short,4136992,4309719,4309719,4295240,4295240,4257097,riskey,ЖК «Зеленодар»,5A,2024-03-15,"ООО «Модо Капитал», ",2,36.0,2,394 +86b92121-015d-42b0-b49c-33764c4ea569,394,4695716,4943241,4803675,4734489,4689247,4928901,233185,4.97,344,short,4749692,4928901,4928901,4911606,4911606,4857113,riskey,ЖК «Зеленодар»,5A,2024-03-15,"ООО «Модо Капитал», ",2,43.0,2,394 +70b5fe26-a06b-4845-8314-1c0c297f5f7d,394,4928010,5167275,5046013,4970390,4924136,5099685,171675,3.48,344,short,4996776,5099685,5099685,5080782,5080782,5004545,riskey,ЖК «Зеленодар»,5A,2024-03-15,"ООО «Модо Капитал», ",2,47.0,2,394 +8313000b-d1ec-4686-ab4e-137182f71a35,394,5563740,6045738,5715049,5628164,5539798,5894539,330799,5.95,444,long,5616385,5827031,5827031,5894539,5894539,5830737,riskey,ЖК «Зеленодар»,5A,2024-03-15,"ООО «Модо Капитал», ",2,54.0,2,394 +80590127-a5f7-4123-be3c-55d5dae55831,394,6395918,6947980,6572445,6471079,6367985,6781850,385932,6.03,444,long,6457337,6703091,6703091,6781850,6781850,6710059,riskey,ЖК «Зеленодар»,5A,2024-03-15,"ООО «Модо Капитал», ",2,63.0,2,394 +ef3c5e08-f361-4208-a0b4-b29866d4d234,394,7963465,8717417,8190185,8004812,7855666,8606486,643021,8.07,494,long,7830257,8420725,8420725,8538833,8538833,8606486,good,ЖК «Зеленодар»,5A,2024-03-15,"ООО «Модо Капитал», ",2,80.0,3,394 +1031dbeb-8170-4cf2-a2be-cca57ae994f4,303,4025448,3639997,3867897,3880243,4025448,4025448,0,0.0,3,short,4010461,4010739,4010739,3983696,3983696,3938134,bad,ЖК «Novella»,2,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,26.0,1,303 +e250ccb4-6723-4111-99c9-e109ae201cc5,303,5614094,5003328,5393398,5406918,5614094,5680965,66871,1.19,253,short,5644434,5680965,5680965,5659870,5659870,5583655,riskey,ЖК «Novella»,2,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,39.0,1,303 +d32364fc-a378-4a62-9a69-cb50dbd25419,303,6840558,6331378,6643310,6610367,6840558,7354959,514401,7.52,353,short,7004299,7352819,7352819,7354959,7354959,7212094,good,ЖК «Novella»,2,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,58.0,2,303 +c1953319-2da2-4895-a955-113fc77e4d8d,303,8842305,8381577,8647956,8544588,8842305,9633627,791322,8.95,403,long,9058602,9604031,9604031,9625342,9625342,9633627,good,ЖК «Novella»,2,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,81.0,3,303 +730f89e1-ac67-4ff8-85ce-a2f37ae253ac,303,4155773,3791121,4000434,4012780,4155773,4155773,0,0.0,3,short,4147709,4133994,4133994,4116992,4116992,4071429,bad,ЖК «Novella»,3,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,26.0,0,303 +be78319e-d093-48ae-963b-2d18e4b3467c,303,5470143,4875038,5255106,5268279,5470143,5535300,65157,1.19,253,short,5499705,5535300,5535300,5514746,5514746,5440485,riskey,ЖК «Novella»,3,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,38.0,1,303 +d801df55-687b-41f7-91fb-46479e405d2e,303,6840558,6331378,6643310,6610367,6840558,7354959,514401,7.52,353,short,7004299,7352819,7352819,7354959,7354959,7212094,good,ЖК «Novella»,3,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,58.0,2,303 +fbe02dd1-347b-44da-8a55-09b80cc5f871,303,8951469,8485053,8754721,8650077,8951469,9752560,801091,8.95,403,long,9170437,9722599,9722599,9744173,9744173,9752560,good,ЖК «Novella»,3,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,82.0,3,303 +bc76f51f-cc0c-4a43-b91d-238248e3a56f,303,5999955,5320070,5765744,5769674,5999955,6093438,93483,1.56,253,short,6043376,6093438,6093438,6070180,6070180,5986148,riskey,ЖК «Novella»,4,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,43.0,1,303 +2253787f-a8c2-47ac-badb-354ec7f5385f,303,5470143,4875038,5255106,5268279,5470143,5535300,65157,1.19,253,short,5499705,5535300,5535300,5514746,5514746,5440485,riskey,ЖК «Novella»,5,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,38.0,1,303 +290c406f-bbbc-455c-b1b8-5d2747a945ae,303,5704091,5064950,5483592,5495387,5704091,5760170,56079,0.98,253,short,5735209,5760170,5760170,5738534,5738534,5660365,riskey,ЖК «Novella»,5,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,40.0,1,303 +ed6d5186-1902-4a50-9cb1-7b8864672105,303,7872584,7446480,7641526,7583679,7872584,8340762,468178,5.95,353,short,8018789,8338290,8338290,8340762,8340762,8175729,riskey,ЖК «Novella»,5,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,67.0,2,303 +6a1559dc-738b-41e6-a584-a3dea2114e0a,303,7313683,6759881,7102832,7067617,7313683,7863560,549877,7.52,353,short,7488717,7861272,7861272,7863560,7863560,7710842,good,ЖК «Novella»,6,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,62.0,2,303 +ce9fbbb7-4257-40fd-a6a2-66097cf89acb,303,7872584,7446480,7641526,7583679,7872584,8340762,468178,5.95,353,short,8018789,8338290,8338290,8340762,8340762,8175729,riskey,ЖК «Novella»,6,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,67.0,2,303 +a755104b-095d-4e79-8431-c2fb0fe96e50,303,8496081,8028707,8290982,8192718,8496081,9273221,777140,9.15,403,long,8701697,9230146,9230146,9250405,9250405,9273221,good,ЖК «Novella»,6,2023-12-15,ООО «Специализированный застройщик АСК 6»,1-2,77.0,3,303 diff --git a/model_pervichka.pkl b/model_pervichka.pkl new file mode 100644 index 0000000000000000000000000000000000000000..68bc3e805920c09e92d648d03e9488f2dac910d1 GIT binary patch literal 267413 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