Christopher LilleyI started modelling the data. This is my basic model.model <- lm(sale_price ~ first_floor_area + age_of_sale + total_rooms + num_stories,Oct 13, 2022Oct 13, 2022
Christopher LilleyHousing Project 2: Data Cleaning Part 6In the unmodified dataset approximately 2900 observations contained first floor sizes of 0.Oct 11, 2022Oct 11, 2022
Christopher LilleyHousing Project 3- Data Exploration 1I want to use some measure of the amount of floor space. However, there is no data dictionary and there are several related values, but the…Oct 11, 2022Oct 11, 2022
Christopher LilleyTwo important indicators of sale prices for real estate are the year that the sale took place and…So I used the following code to create these variables.Oct 9, 2022Oct 9, 2022
Christopher LilleyI noticed a large number of sales with strange sale prices.Another interesting point is that the city, state, and zip code columns consist entirely of NAs.Oct 9, 2022Oct 9, 2022
Christopher LilleyHousing Project 2: Data Cleaning Part 2Some transactions have a sale price of 0. Next I will remove these. I will assume that these are either transfers that do not represent…Oct 7, 2022Oct 7, 2022
Christopher LilleyHousing Project 2: Data Cleaning Part 1I used the following code to create a scatterplot of rooms by sales price.Oct 7, 2022Oct 7, 2022
