A simulated data set containing sales of child car seats at 400 different stores.
A data frame with 400 observations on the following 12 variables.
Sales
Unit sales (in thousands) at each location
CompPrice
Price charged by competitor at each location
Income
Community income level (in thousands of dollars)
Advertising
Local advertising budget for company at each location (in thousands of dollars)
Population
Population size in region (in thousands)
Price
Price company charges for car seats at each site
ShelveLoc
A factor with levels Bad, Good and Medium indicating the quality of the shelving location for the car seats at each site
Age
Average age of the local population
Education
Education level at each location
Urban
A factor with levels No and Yes to indicate whether the store is in an urban or rural location
US
A factor with levels No and Yes to indicate whether the store is in the US or not
Source
Simulated data
References
James, G., Witten, D., Hastie, T., and Tibshirani, R. (2013) An Introduction to Statistical Learning with applications in R, www.StatLearning.com, Springer-Verlag, New York
Use the following R code to directly access this dataset in R.
