kings_county
OpenML dataset with id 44989
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22111853/kings_county.arff
Upload date: 22 December 2022
Dataset Characteristics
Number of classes: 0
Number of features: 22 (numeric: 18, symbolic: 4 and in total binary: 1 )
Number of instances: 21,613
Number of instances with missing values: 0
Number of missing values: 0
Data Description
This dataset contains house sale prices for King County, which includes Seattle. It includes homes sold between May 2014 and May 2015.
Attribute Description
1. *price* - target feature
2. *bedrooms* - number of bedrooms
3. *bathrooms* - number of bathrooms
4. *sqft_living* - Size of living area in square feet
5. *sqft_lot* - Size of the lot in square feet
6. *floors* - Number of floors
7. *waterfront* - '1' if the property has a waterfront, '0' if not.
8. *view* - an index from 0 to 4 of how good the view of the property was
9. *condition* - Condition of the house, ranked from 1 to 5
10. *grade* - Classification by construction quality which refers to the types of materials used and the quality of workmanship; the higher, the better
11. *sqft_above* - Square feet above ground
12. *sqft_basement* - Square feet below ground
13. *yr_built* - Year built
14. *yr_renovated* - Year renovated. 0 if never renovated
15. *zipcode* - 5 digit zip code
16. *lat* - Latitude
17. *long* - Longitude
18. *sqft_living15* - Average size of interior housing living space for the closest 15 houses, in square feet
19. *sqft_lot15* - Average size of land lots for the closest 15 houses, in square feet
20. *date_year* - Date sold - year
21. *date_month* - Date sold - month
22. *date_day* - Date sold - day
This page was built for dataset: kings_county
