Explore Paris Paintings

Choose two of the following questions and answer as a team.

• What are some important features of the distribution of the prices of paintings sold?
• Describe the distribution of schools of paintings?
• Are the paintings sold mostly by living artists?
• How do prices vary over time and by school of painting?
• Is a particular type of buyer more represented than other?
• Could we think of any way to categorize the paintings from high- to low-end? What could be some criteria that help us construct this categorization?

Accessing the data

• Codebook: https://stat.duke.edu/courses/Fall15/sta112.01/data/paris_paintings.html

• Go to the Resources on Sakai and download paris_paintings.csv

• Upload this file to RStudio Server

• Load using the following (make sure data file is in the correct working directory):

pp <- read.csv("paris_paintings.csv", stringsAsFactors = FALSE) %>%
  tbl_df()

Submission instructions

Your submission should be an R Markdown file in your team App Ex repo, in a folder called AppEx_02.

Due date

Thursday, Sep 17, beg of class

Watch out for…

merge conflics on GitHub – you’re working in the same repo now!

Issues will arise, and that’s fine! Commit and push often, and ask questions when stuck.