devchoplife / price-analysis

Using regression model to predict the price of houses in Kings County, Washington state, USA

KINGS COUNTY, WASHINGTON STATE, USA HOUSE SALES DATA

The aim of this project:

• To detemine the features that affects the price of the house
• How well the features affect the price of the house
• Develop a regression model to predict the prices of new houses
• To obtain valuable insights and improve the pricing of properties

DESCRIPTION OF THE DATA

Below is a brief description of the columns in the data

• id - the identification number of the house
• date - the date the house was sold
• price - the predicted price of the house
• bedrooms - th e number of bedrooms in the house
• bathrooms - the numbe rof bathrooms in the house
• sqft_living - square footage of the house
• sqft_lot - square footage of the parking lot
• floors - total numbe rof floors in the house
• waterfront - If the house has a waterfront view (1 for yes)
• view - how many times the house has been viewed
• condition - How good the condition of the house is (5 is excellent)
• grade - overall grade given to the house based on Kings County standards (13 is excellent)
• sqft_above - square footage of the house apart from basement
• sqft_basement - square footage of the basement
• yr_built - the year the house was built
• yr_renovated - Year the house was renovated
• zipcode - ZIP of the house
• lat - latitude of the house
• long - lobgitude of the house
• sqft_living15 - living room area in 2015 (if there has been renovations)
• sqft_lot15 - parking lot area in 2015 (if there has been renovations)