LandingPad Realtors is a real estate business that helps families with school-aged children relocate to King County and find the perfect home to meet their families needs. LandingPad provides potential homeowners with home purchase options within their ideal budget.
Project Details
Primarily, I will start by identifying the characteristics of homes that increase housing costs. The effect of each relevant feature will then be identified and communicated to the team at LandingPad. This project will be grounded in performing a statistical analysis of the price of houses in the King County House dataset and creating a multiple linear regression model that accurately predicts the sale price of a house in King County.
In this project I will use the CRISP DM method. The dataset selected in this project are from the :
King County House Sales Dataset found in kc_house_data.csv The dataset can be found in the data folder of this repository along with a file called column_names.md which provides description of the features within the dataset. More information about the features on the site of the King County Assessor.
Project Requirements
Investigate the following guiding questions:
- Q1. Which neighborhoods have the highest average home price?
- Q2. How does the number of bedrooms affect the sale price of a home?
- Q3. How does proximity to a highly rated school affect the sale price of a home?
