# Use package dplyr to explore WestRoxbury real estate dataset d = read.csv(“WestRoxbury.csv”) View(d) # Questions # 1) Filter the data to show only houses whose total value # is greater than 350 (thousand), less than 20 years of age, # and tax is less than 5000. HINT: use Mutate to calculate # age of the house as of 2020. # 2) Sort the dataset by (age, total value), then show # only age, total value, lot sqft, and rooms. Assign entire # output to a variable named sortedD. Now using standard base R, show only # first 10 rows of sortedD. # 3) A potential buyer is looking for a house which will have at least 8 rooms, # in exactly one floor, have a fireplace, and built in between 1970 and 1990. # Arrange these houses sorted by total value. # Finally, assign the result to a new variable named custList. # View custList. # 4) Summarize the dataset by first grouping on age, then calculate # count of each group, mean, min, and max of total value. Then, # order the resulting output (in descending order) by count. Finally, assign the result # to a new variable named groupedD. # View groupedD.
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