Data from a study carried out by the graduate Division of the University of California, Berkeley in the early 1970's to evaluate whether there was a sex bias in graduate admissions.
Format
A data frame with 4526 observations on the following 3 variables.
- admit
Was the applicant admitted to the university?
- gender
Whether the applicant identified as male or female.
- department
What department did the applicant apply to, noted as A through F for confidentiality.
Examples
library(ggplot2)
library(dplyr)
plot_data <- ucb_admit |>
count(dept, gender, admit)
ggplot(plot_data, aes(dept, n, fill = gender)) +
geom_col(position = "dodge") +
facet_wrap(~admit) +
theme_minimal() +
labs(
title = "Does gender discrimination play a role in college admittance?",
x = "Department",
y = "Number of Students",
fill = "Gender",
caption = "Source: UC Berkeley, 1970's"
)
