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1 Introduction

The aim of this report is to apply Exploratory Data Analysis (EDA) to the house sales in King County, Washington State, USA. The data set consisted of historic data of houses sold between May 2014 to May 2015.

  • The dataset consisted of 21 variables and 21613 observations.
  • Variables Description Data Type:
    • id: a notation for a house Numeric
    • date: Date house was sold String
    • price: Price is prediction target Numeric
    • bedrooms: Number of Bedrooms/House Numeric
    • bathrooms: Number of bathrooms/bedrooms Numeric
    • sqftliving: square footage of the home Numeric sqftlot square footage of the lot Numeric
    • floors: Total floors (levels) in house Numeric
    • waterfront: House which has a view to a waterfront Numeric
    • view: Has been viewed Numeric
    • condition: How good the condition is ( Overall ). 1 indicates worn out property and 5 excellent.(http://info.kingcounty.gov/assessor/esales/Glossary.aspx?type=r#g) Numeric
    • grade: overall grade given to the housing unit, based on King County grading system. 1 poor ,13 excellent (Numeric)
    • sqftabove: square footage of house apart from basement Numeric
    • sqftbasement: square footage of the basement Numeric
    • yrbuilt: Built Year Numeric
    • yrrenovated: Year when house was renovated Numeric
    • zipcode: zip Numeric
    • lat: Latitude coordinate Numeric
    • long: Longitude coordinate Numeric
    • sqftliving15: Living room area in 2015(implies-some renovations) This might or might not have affected the lotsize area Numeric sqftlot15 lotSize area in 2015(implies-some renovations) Numeric