R Dataset / Package ISLR / College

On this R-data statistics page, you will find information about the College data set which pertains to U.S. News and World Report's College Data. The College data set is found in the ISLR R package. You can load the College data set in R by issuing the following command at the console data("College"). This will load the data into a variable called College. If R says the College data set is not found, you can try installing the package by issuing this command install.packages("ISLR") and then attempt to reload the data with the library() command. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the College R data set. The size of this file is about 76,513 bytes.

U.S. News and World Report's College Data

Description

Statistics for a large number of US Colleges from the 1995 issue of US News and World Report.

Usage

College

Format

A data frame with 777 observations on the following 18 variables.

Private

A factor with levels No and Yes indicating private or public university

Apps

Number of applications received

Accept

Number of applications accepted

Enroll

Number of new students enrolled

Top10perc

Pct. new students from top 10% of H.S. class

Top25perc

Pct. new students from top 25% of H.S. class

F.Undergrad

Number of fulltime undergraduates

P.Undergrad

Number of parttime undergraduates

Outstate

Out-of-state tuition

Room.Board

Room and board costs

Books

Estimated book costs

Personal

Estimated personal spending

PhD

Pct. of faculty with Ph.D.'s

Terminal

Pct. of faculty with terminal degree

S.F.Ratio

Student/faculty ratio

perc.alumni

Pct. alumni who donate

Expend

Instructional expenditure per student

Grad.Rate

Graduation rate

Source

This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University. The dataset was used in the ASA Statistical Graphics Section's 1995 Data Analysis Exposition.

References

Games, 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

Examples

summary(College)
lm(Apps~Private+Accept,data=College)

Dataset imported from https://www.r-project.org.

Attachments: csv, json

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