The data are gathered from end of semester student evaluations for a large sample of professors from the University of Texas at Austin. In addition, six students rate the professors' physical appearance. The result is a data frame where each row contains a different course and each column has information on either the course or the professor https://www.openintro.org/stat/data/?data=evals
evalsA data frame with 463 observations on the following 13 variables.
Identification variable used to distinguish rows.
Average professor evaluation score: (1) very unsatisfactory - (5) excellent.
Age of professor.
Average beauty rating of professor.
Gender of professor: female, male.
Ethnicity of professor: not minority, minority.
Language of school where professor received education: English or non-English.
Rank of professor: teaching, tenure track, tenured.
Outfit of professor in picture: not formal, formal.
Color of professor<U+2019>s picture: color, black & white.
Number of students in class who completed evaluation.
Total number of students in class.
Class level: lower, upper.
# NOT RUN {
library(dplyr)
glimpse(evals)
# }
Run the code above in your browser using DataLab