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Exploring the IPEDS Data

In Chapters 2 and 3, we will be using a subset of the IPEDS data that focuses on public, private, and for-profit four-year institutions. The United States also has many institutions that are classified as two-year colleges or vocational institutions, which are not included this course. Our subset has five variables on 3,146 colleges.

The sector_label column in the ipeds data frame indicates whether a college is public, private, or for-profit. In the console, use the group_by() and the count() functions from the dplyr package to determine which sector of college is most common.

The tidyverse package, which includes dplyr, has been loaded for you. In your workspace, you also have access to the ipeds dataframe.

Which sector of college is most common in the IPEDS data?

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