Subset the data based on variables, such as number of bedrooms, number of bathrooms, home square footage, lot square footage, and age of the house. Which variables can be removed when predicting house prices? Are there any variables that display a skewed distribution? If there are, perform logarithm transformations for these variables. Would it make sense to transform some of the numeric values into categorical values using the binning strategy? Is equal size or equal interval binning strategy more appropriate in these situations?

Application	LoanType	PropertyType	Purpose
1	Conventional	Single-family	Purchase
2	Conventional	Multi-family	Refinancing
3	Federal Housing	Single-family	Purchase
4	Conventional	Multi-family	Refinancing
5	Conventional	Single-family	Purchase
6	Federal Housing	Single-family	Refinancing
7	Conventional	Single-family	Refinancing
8	Federal Housing	Multi-family	Refinancing
9	Conventional	Single-family	Refinancing
10	Federal Housing	Single-family	Refinancing
11	Federal Housing	Single-family	Refinancing
12	Federal Housing	Single-family	Purchase
13	Federal Housing	Multi-family	Refinancing
14	Federal Housing	Multi-family	Purchase
15	Conventional	Multi-family	Refinancing
16	Conventional	Multi-family	Purchase
17	Conventional	Single-family	Refinancing
18	Conventional	Multi-family	Refinancing
19	Federal Housing	Multi-family	Refinancing
20	Conventional	Multi-family	Purchase
21	Federal Housing	Multi-family	Purchase
22	Conventional	Multi-family	Refinancing
23	Federal Housing	Single-family	Purchase
24	Conventional	Single-family	Refinancing
25	Federal Housing	Multi-family	Refinancing
26	Conventional	Single-family	Purchase
27	Conventional	Single-family	Refinancing
28	Conventional	Multi-family	Refinancing
29	Conventional	Single-family	Purchase