housing {fasterElasticNet} | R Documentation

## Housing data from kaggle

### Description

A subdata from kaggle "Get start" competition

### Usage

    data("housing")

### Format

A data frame with 10153 observations on the following 140 variables.

`floor`

  for apartments, floor of the building

`area_m`

  Area, sq.m.

`green_zone_part`

  Proportion of area of greenery in the total area

`indust_part`

  Share of industrial zones in area of the total area

`preschool_quota`

  Number of seats in pre-school organizations

`preschool_education_centers_raion`

  Number of pre-school institutions

`school_quota`

  Number of high school seats in area

`school_education_centers_raion`

  Number of high school institutions

`school_education_centers_top_20_raion`

  Number of high schools of the top 20 best schools in Moscow

`healthcare_centers_raion`

  Number of healthcare centers in district

`university_top_20_raion`

  Number of higher education institutions in the top ten ranking of the Federal rank

`sport_objects_raion`

  Number of higher education institutions

`additional_education_raion`

  Number of additional education organizations

`culture_objects_top_25_raion`

  Number of objects of cultural heritage

`shopping_centers_raion`

  Number of malls and shopping centres in district

`office_raion`

  Number of malls and shopping centres in district

`build_count_block`

  Share of block buildings

`build_count_wood`

  Share of wood buildings

`build_count_frame`

  Share of frame buildings

`build_count_brick`

  Share of brick buildings

`build_count_monolith`

  Share of monolith buildings

`build_count_panel`

  Share of panel buildings

`build_count_foam`

  Share of foam buildings

`build_count_slag`

  Share of slag buildings

`build_count_before_1920`

  Share of before_1920 buildings

`build_count_1921.1945`

  Share of 1921-1945 buildings

`build_count_1946.1970`

  Share of 1946-1970 buildings

`build_count_1971.1995`

  Share of 1971-1995 buildings

`build_count_after_1995`

  Share of after_1995 buildings

`kindergarten_km`

  Distance to kindergarten

`school_km`

  Distance to high school

`park_km`

  Distance to park

`green_zone_km`

  Distance to green zone

`industrial_km`

  Distance to industrial zone

`water_treatment_km`

  Distance to water treatment

`cemetery_km`

  Distance to the cemetery

`incineration_km`

  Distance to the incineration

`railroad_station_walk_min`

  Time to the railroad station (walk)

`railroad_station_avto_km`

  Distance to the railroad station (avto)

`railroad_station_avto_min`

  Time to the railroad station (avto)

`public_transport_station_min_walk`

  Time to the public transport station (walk)

`water_km`

  Distance to the water reservoir / river

`mkad_km`

  Distance to MKAD (Moscow Circle Auto Road)

`big_road1_km`

  Distance to Nearest major road

`big_road2_km`

  The distance to next distant major road

`railroad_km`

  Distance to the railway / Moscow Central Ring / open areas Underground

`bus_terminal_avto_km`

  Distance to bus terminal (avto)

`oil_chemistry_km`

  Distance to dirty industries

`nuclear_reactor_km`

  Distance to nuclear reactor

`radiation_km`

  Distance to burial of radioactive waste

`power_transmission_line_km`

  Distance to power transmission line

`thermal_power_plant_km`

  Distance to thermal power plant

`ts_km`

  Distance to power station

`big_market_km`

  Distance to grocery / wholesale markets

`market_shop_km`

  Distance to markets and department stores

`fitness_km`

  Distance to fitness

`swim_pool_km`

  Distance to swimming pool

`ice_rink_km`

  Distance to ice palace

`stadium_km`

  Distance to stadium

`basketball_km`

  Distance to the basketball courts

`hospice_morgue_km`

  Distance to hospice/morgue

`detention_facility_km`

  Distance to detention facility

`public_healthcare_km`

  Distance to public healthcare

`university_km`

  Distance to universities

`workplaces_km`

  Distance to workplaces

`shopping_centers_km`

  Distance to shopping centers

`office_km`

  Distance to business centers/ offices

`additional_education_km`

  Distance to additional education

`preschool_km`

  Distance to preschool education organizations

`big_church_km`

  Distance to large church

`church_synagogue_km`

  Distance to Christian chirches and Synagogues

`mosque_km`

  Distance to mosques

`theater_km`

  Distance to theater

`museum_km`

  Distance to museums

`exhibition_km`

  Distance to exhibition

`catering_km`

  Distance to catering

`green_part_500`

  The share of green zones in 500 meters zone

`prom_part_500`

  The share of industrial zones in 500 meters zone

`office_count_500`

  The number of office space in 500 meters zone

`office_sqm_500`

  The square of office space in 500 meters zone

`trc_count_500`

  The number of shopping malls in 500 meters zone

`trc_sqm_500`

  The square of shopping malls in 500 meters zone

`cafe_count_500_na_price`

  Cafes and restaurant bill N/A in 500 meters zone

`cafe_count_500_price_500`

  Cafes and restaurant bill, average under 500 in 500 meters zone

`cafe_count_500_price_1000`

  Cafes and restaurant bill, average 500-1000 in 500 meters zone

`cafe_count_500_price_1500`

  Cafes and restaurant bill, average 1000-1500 in 500 meters zone

`cafe_count_500_price_2500`

  Cafes and restaurant bill, average 1500-2500 in 500 meters zone

`cafe_count_500_price_4000`

  Cafes and restaurant bill, average 2500-4000 in 500 meters zone

`cafe_count_500_price_high`

  Cafes and restaurant bill, average over 4000 in 500 meters zone

`big_church_count_500`

  The number of big churchs in 500 meters zone

`church_count_500`

  The number of churchs in 500 meters zone

`mosque_count_500`

  The number of mosques in 500 meters zone

`leisure_count_500`

  The number of leisure facilities in 500 meters zone

`sport_count_500`

  The number of sport facilities in 500 meters zone

`market_count_500`

  The number of markets in 500 meters zone

`green_part_1000`

  The share of green zones in 1000 meters zone

`prom_part_1000`

  The share of industrial zones in 1000 meters zone

`office_sqm_1000`

  The square of office space in 1000 meters zone

`trc_count_1000`

  The number of shopping malls in 1000 meters zone

`trc_sqm_1000`

  The square of shopping malls in 1000 meters zone

`cafe_count_1000_na_price`

  Cafes and restaurant bill N/A in 1000 meters zone

`cafe_count_1000_price_high`

  Cafes and restaurant bill, average over 4000 in 1000 meters zone

`big_church_count_1000`

  The number of big churchs in 1000 meters zone

`mosque_count_1000`

  The number of mosques in 1000 meters zone

`leisure_count_1000`

  The number of leisure facilities in 1000 meters zone

`sport_count_1000`

  The number of sport facilities in 1000 meters zone

`market_count_1000`

  The number of markets in 1000 meters zone

`green_part_1500`

  The share of green zones in 1500 meters zone

`prom_part_1500`

  The share of industrial zones in 1500 meters zone

`office_sqm_1500`

  The square of office space in 1500 meters zone

`trc_count_1500`

  The number of shopping malls in 1500 meters zone

`trc_sqm_1500`

  The square of shopping malls in 1500 meters zone

`cafe_count_1500_price_high`

  Cafes and restaurant bill, average over 4000 in 1500 meters zone

`mosque_count_1500`

  The number of mosques in 1500 meters zone

`sport_count_1500`

  The number of sport facilities in 1500 meters zone

`market_count_1500`

  The number of markets in 1500 meters zone

`green_part_2000`

  The share of green zones in 2000 meters zone

`prom_part_2000`

  The share of industrial zones in 2000 meters zone

`office_sqm_2000`

  The square of office space in 2000 meters zone

`trc_count_2000`

  The number of shopping malls in 2000 meters zone

`trc_sqm_2000`

  The square of shopping malls in 2000 meters zone

`mosque_count_2000`

  The number of mosques in 2000 meters zone

`sport_count_2000`

  The number of sport facilities in 2000 meters zone

`market_count_2000`

  The number of markets in 2000 meters zone

`green_part_3000`

  The share of green zones in 3000 meters zone

`prom_part_3000`

  The share of industrial zones in 3000 meters zone

`office_sqm_3000`

  The square of office space in 3000 meters zone

`trc_count_3000`

  The number of shopping malls in 3000 meters zone

`trc_sqm_3000`

  The square of shopping malls in 3000 meters zone

`mosque_count_3000`

  The number of mosques in 3000 meters zone

`sport_count_3000`

  The number of sport facilities in 3000 meters zone

`market_count_3000`

  The number of markets in 3000 meters zone

`green_part_5000`

  The share of green zones in 5000 meters zone

`prom_part_5000`

  The share of industrial zones in 5000 meters zone

`trc_count_5000`

  The number of shopping malls in 5000 meters zone

`trc_sqm_5000`

  The square of shopping malls in 5000 meters zone

`mosque_count_5000`

  The number of mosques in 5000 meters zone

`sport_count_5000`

  The number of sport facilities in 5000 meters zone

`market_count_5000`

  The number of markets in 5000 meters zone

`price_doc`

  I don't know

### Source

www.kaggle.com

### Examples

    data(housing)

[Package fasterElasticNet version 1.1.2 Index]