Hands-on Exercise 1: A Layered Grammar of Graphics: ggplot2 methods

Published

January 11, 2024

Modified

January 23, 2024

1 Getting Started

1.1 Install and launching R packages

The code chunk below uses p_load() of pacman package to check if tidyverse packages are installed in the computer. If they are, then they will be launched into R.

pacman::p_load(tidyverse)

1.2 Importing the data

exam_data <- read_csv("../../data/Exam_data.csv")

Rows: 322 Columns: 7
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (4): ID, CLASS, GENDER, RACE
dbl (3): ENGLISH, MATHS, SCIENCE

ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

2 Plotting a simple bar chart

ggplot(data = exam_data,
       aes(x = RACE)) +
  geom_bar()