Due date: 10/13/2022
Run chapter 2 codes on the West Roxbury dataset. With that knowledge and experience create a new data frame called reale state.df and answer the following questions. Your output should be screenshots pasted into a document when necessary.
Data Pre-exploration
Load dataset in R studio and answer the following:
How many variables are in the dataset?
How many observations are in the dataset?
Print list of variables to the screen?
Run code to show the following.
Find the dimension of the data frame.
Show the first six rows
Show the first six rows of the first column
Show the first ten rows of each column
Show the tenth row of columns 1 to 3, column 6, column 9 to 10.
Show the sixth row of the first 3 columns
Find summary statistics of each column.
Sampling
Run code to sample 50 observations from the realestate.df
Categorical variables
Use the installed dummies package and dummies library to convert all categorical variables to dummy or binary values.
Show the first ten rows of the 11th to 14th columns.
Data partition
Partition realestate.df into training data (60%) and validation data (40%). Use set.seed(5) to get the same partitions.
Regression model
Fit regression model to training data. Use variable Total_Value as response and all the other variables as predictors.
What are the values of the model evaluation metrics?
Problems
Problem 2.1 (10 points)
Problem 2.2 (10 points)
