2014-15 Home Sales in King County, WA — kchomesale • geodaData

Home sales prices and characteristics for Seattle and King County, WA (May 2014 - 2015). Use list2env(kchomesale, .GlobalEnv) to unlist in working environment. The data consist of a list of two objects:

kchomesales_points A spatial points object of class sf Dataframe.
kc_zones A shapefile object of class sf Dataframe.

kchomesale

Format

kchomesales_points includes homesales points with 21,613 rows, 21 variables, and a geometry column.

id: ID code
date: date sold
price: sale price
bedrooms: number of bedrooms
bathrooms: number of bathrooms
sqft_liv: size of living area in square feet
sqft_lot: size of the lot in square feet
floors: number of floors
waterfront: ‘1’ if the property has a waterfront, ‘0’ if not
view: An index from 0 to 4 of how good the view of the property was
condition: condition of the house, ranked from 1 to 5
grade: Classification by construction quality which refers to the types of materials used and the quality of workmanship. Buildings of better quality (higher grade) cost more to build per unit of measure and command higher value. Additional details in: https://info.kingcounty.gov/assessor/esales/Glossary.aspx?type=r
sqft_above: square feet above ground
sqft_basmt: square feet below ground
yr_built: year built
yr_renov: year renovated. ‘0’ if never renovated
zipcode: 5 digit zip code
lat: latitude
long: longitude
squft_liv15: average size of interior housing living space for the closest 15 houses, in square feet
squft_lot15: average size of land lost for the closest 15 houses, in square feet
OBJECTID: Polygon ID
ZIP: ZIP code as int
ZIPCODE: ZIP code as chr
COUNTY: County code
Shape_leng: Polygon length in meters
Shape_Area: Polygon area in meters

kc_zones includes polygons of zones for King County with 85 rows, 6 variables and a geometry column).

OBJECTID: ID code
ZIP: Zip code
COUNTY: County code
ZIP_TYPE: Zip code type: standard or PO box
Shape_Leng: Polygon length
Shape_Area: Polygon area

Source

King County Home sales obtained from https://www.kaggle.com/harlfoxem/housesalesprediction/discussion and King county polygons are retrieved from https://gis-kingcounty.opendata.arcgis.com/datasets/zipcodes-for-king-county-and-surrounding-area-shorelines-zipcode-shore-area

Details

List of two Sf objects, unprojected. EPSG 4326: WGS84.

Examples


## Unlist in Global environment
library(geodaData)
data(kchomesale)
list2env(kchomesale, environment())
#> <environment: 0x7fb27c43a9a8>
ls()
#> [1] "kc_zones"           "kchomesales_points"

## Plot first listed dataset (kchomesales_points):
if (requireNamespace("sf", quietly = TRUE)) {
  library(sf)
  data(kchomesale)

  plot(kchomesale[[1]]["price"])
}