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?
This exercise is part of the course
Interactive Maps with leaflet in R
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
