AE 05: Survey types

Application exercise

Getting started

Packages

We’ll use the tidyverse package for this analysis.

Data

The data are available in the data folder.

survey_raw <- read_excel("data/survey-2026-09-23.xlsx")
Error:
! `path` does not exist: 'data/survey-2026-09-23.xlsx'

Prep

Clean the data such that it has two variables:

  1. class_year: The class of the students with levels First-year, Sophomore, Junior, and Senior, in that order.
  2. n_wed_classes: The number of classes each student has on Wednesdays, including STA 199MN.

Save the resulting data frame as survey.

Explore

Explore the relationship between class_year and n_wed_classes using a table and a plot. Describe the relationship or the lack thereof