House Price Prediction Treated Dataset

House sale prices for King County between May 2014 and May 2015

@kaggle.aravinii_house_price_prediction_treated_dataset

Table List

2 tables(177.65 KB)

Df Train

@kaggle.aravinii_house_price_prediction_treated_dataset.df_train

113.49 KB
13603 rows
14 columns

date Date	price Price	bedrooms Bedrooms	grade Grade	has_basement Has Basement	living_in_m2 Living In M2	nice_view Nice View	real_bathrooms Real Bathrooms	has_lavatory Has Lavatory	single_floor Single Floor	month Month	quartile_zone Quartile Zone
Thu May 15 2014 00:00:00 GMT+0000 (Coordinated Universal Time)	312000	2	2	true	138.42547		2	true		5	1
Fri Nov 14 2014 00:00:00 GMT+0000 (Coordinated Universal Time)	310000	2	2		105.90942		1	true		11	3
Wed Dec 24 2014 00:00:00 GMT+0000 (Coordinated Universal Time)	320000	2	2		117.98681	true	1		true	12	2
Sun Feb 22 2015 00:00:00 GMT+0000 (Coordinated Universal Time)	264500	2	3		151.43189		2	true	true	2	1
Tue Jan 06 2015 00:00:00 GMT+0000 (Coordinated Universal Time)	700000	3	2	true	341.88304		3			1	4
Wed Mar 04 2015 00:00:00 GMT+0000 (Coordinated Universal Time)	445000	1	2	true	84.54173	true	1		true	3	3
Wed Jun 04 2014 00:00:00 GMT+0000 (Coordinated Universal Time)	240500	2	2	true	135.63838		1	true	true	6	1
Wed Oct 22 2014 00:00:00 GMT+0000 (Coordinated Universal Time)	235000	1	1		139.3545		1		true	10	1
Fri Jul 11 2014 00:00:00 GMT+0000 (Coordinated Universal Time)	206000	2	2		105.90942		1	true	true	7	1
Wed Sep 03 2014 00:00:00 GMT+0000 (Coordinated Universal Time)	545000	2	3		118.91584		2	true		9	4


CREATE TABLE df_train (
  "date" TIMESTAMP,
  "price" DOUBLE,
  "bedrooms" BIGINT,
  "grade" BIGINT,
  "has_basement" BOOLEAN,
  "living_in_m2" DOUBLE,
  "renovated" BOOLEAN,
  "nice_view" BOOLEAN,
  "perfect_condition" BOOLEAN,
  "real_bathrooms" BIGINT,
  "has_lavatory" BOOLEAN,
  "single_floor" BOOLEAN,
  "month" BIGINT,
  "quartile_zone" BIGINT
);