We are using KC House dataset. In this analysis, we cleaned and filtered the data and finally chose to focus on the price, zipcode(location of the property), no of bedrooms, size of the property(sqft_lot), and the view of the area.

Through the analysis, we divided the area (zipcode) as urban or rural.

1. It was found that, the house price under Urban area category has higher price compared to those in rural area.

2. However, from the analysis, we found that the size or area of the property in rural area is much bigger than those in urban area

3. Based on this two factors (the size and the area), we found that those house in rural area with larger size (sqft_lot) has much lower price compared to the smaller house in an urban area (higher price)

Further analysis could be retrieved here: link text