One dataset for the whole course

The Student Life Survey

300 made-up university students, followed over one semester. Every lesson and exercise uses it. No real people are involved, so practise freely.

Download students.csv and save it in your project's data folder. Lesson 4 also uses the same data as an Excel file and an SPSS file.

The columns

Column	What it is	Values
`ID`	Student ID	S001 to S300
`Gender`	Gender	Female, Male
`Age`	Age in years	18 to 29
`Living`	Where they live	Hall (student hall), Home
`StudyHours`	Hours of study per week	0 to 31 · 6 missing
`Attendance`	% of classes attended	56 to 100
`Motivation`	Self-rated motivation	Low, Medium, High
`LearningStyle`	Preferred learning style, as a code	0 Visual, 1 Kinaesthetic, 2 Auditory, 3 Reading/Writing
`Sleep`	Hours of sleep per night	4 to 9 · 10 missing
`Stress`	Self-rated stress	1 (very low) to 10 (very high)
`ExamScore`	Final exam score	0 to 100
`Grade`	Grade from the exam score	A (80+), B (65 to 79), C (50 to 64), D (below 50)
`Workshop`	Took a wellbeing workshop during the semester	Yes, No
`Wellbeing_T1`	Wellbeing at the start of semester	1 (very low) to 7 (very high)
`Wellbeing_T2`	Wellbeing at the end of semester	1 to 7
`Used_Support`	Used the university's wellbeing support	Yes, No

A first look

R code

library(tidyverse)
students <- read_csv("data/students.csv", show_col_types = FALSE)
glimpse(students)

Output

── Attaching core tidyverse packages ────────────── tidyverse 2.0.0 ──
✔ dplyr     1.2.1     ✔ readr     2.2.0
✔ forcats   1.0.1     ✔ stringr   1.6.0
✔ ggplot2   4.0.3     ✔ tibble    3.3.1
✔ lubridate 1.9.5     ✔ tidyr     1.3.2
✔ purrr     1.2.2     
── Conflicts ──────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag()    masks stats::lag()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
Rows: 300
Columns: 16
$ ID            <chr> "S001", "S002", "S003", "S004", "S005", "S006"…
$ Gender        <chr> "Male", "Male", "Female", "Male", "Female", "M…
$ Age           <dbl> 20, 21, 19, 19, 21, 22, 21, 20, 19, 21, 23, 21…
$ Living        <chr> "Hall", "Hall", "Hall", "Home", "Hall", "Home"…
$ StudyHours    <dbl> 16, NA, 0, 3, 27, 19, 20, 4, 16, 17, 21, 22, 1…
$ Attendance    <dbl> 92, 88, 86, 89, 92, 56, 92, 61, 82, 100, 84, 1…
$ Motivation    <chr> "Medium", "Medium", "Medium", "Medium", "High"…
$ LearningStyle <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 3, 2, 0, 1, 2, 3, 1, 1…
$ Sleep         <dbl> 6.0, 6.0, NA, 5.8, 5.5, 6.5, 6.2, 6.9, 6.6, 6.…
$ Stress        <dbl> 5, 6, 8, 5, 7, 6, 7, 3, 6, 6, 5, 5, 8, 7, 4, 5…
$ ExamScore     <dbl> 73, 75, 52, 43, 88, 67, 83, 39, 72, 70, 66, 87…
$ Grade         <chr> "B", "B", "C", "D", "A", "B", "A", "D", "B", "…
$ Workshop      <chr> "No", "No", "Yes", "No", "No", "No", "No", "Ye…
$ Wellbeing_T1  <dbl> 5.00, 1.33, 3.33, 5.00, 4.00, 2.67, 4.33, 4.33…
$ Wellbeing_T2  <dbl> 5.00, 1.33, 4.33, 3.33, 4.00, 2.00, 5.33, 3.33…
$ Used_Support  <chr> "No", "No", "Yes", "Yes", "Yes", "Yes", "Yes",…