This is a brief guide to obtaining datasets for Statistics 101 and other courses and endeavors from several common data sources. While the search interface that follows provides access to over 400 collections of datasets, the level of difficulty in processing the data for the analysis varies by collection/dataset. If in doubt, please consult email@example.com.
Most data sources contain a mixture of numerical and categorical variables, but may not explicitly state this on the web page or the documentation. We advise looking at the documentation or summary statistics for the variables in your chosen dataset to make this determination.
The Data and GIS Lab in 226 Perkins maintains software (and has staff) that can assist in moving data into R. Ease of access to the data in R should not be the primary factor in determining a datasource- but it should be a factor in selecting variables for your project. Once more, we are happy to advise!