Explore Paris Paintings

Accessing the data

This dataset is made available for class use only. Do not post the raw dataset anywhere else. You can share your results/findings/plots etc. but not the dataset.

• Codebook: https://stat.duke.edu/~cr173/Sta112_Fa16/data/paris_paintings.html

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

• Upload this file to RStudio Server in your home directory

• Load using the following (if you get an error make sure the data file is in the correct directory):

library(readr)
pp = read_csv("~/paris_paintings.csv")

Exercise

Choose three 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?

Submission instructions

Your submission should be an R Markdown file called AppEx_09_08_2016.Rmd in your team’s AppEx repo.

Due date

Tuesday, Sept. 13th, by 8 pm.

Watch out for…

merge conflicts 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.