Visualizing Likert data III

Lecture 17

Dr. Mine Çetinkaya-Rundel

Duke University
STA 313 - Spring 2023

Warm up

Announcements

  • HW 4 due Thursday
  • Project 2 proposals for peer review due next Tuesday – start working on them in lab tomorrow at the latest

Setup

# load packages
library(countdown)
library(tidyverse)

# set theme for ggplot2
ggplot2::theme_set(ggplot2::theme_minimal(base_size = 14))

# set width of code output
options(width = 65)

# set figure parameters for knitr
knitr::opts_chunk$set(
  fig.width = 7,        # 7" width
  fig.asp = 0.618,      # the golden ratio
  fig.retina = 3,       # dpi multiplier for displaying HTML output on retina
  fig.align = "center", # center align figures
  dpi = 300             # higher dpi, sharper image
)

Likert data visualizations

Considerations

  • Diverging charts

  • 100% charts

  • NAs vs. neutrals/neithers

What have you learned from the reading about these considerations?

Let’s make some!

Go to ae-15.

🔗 vizdata.org