17 Visualizing Data III - Boxplots and Barplots
Overview
So far in our exploration of data visualization, we’ve focused on scatterplots. We’ll now expand to consider visualizing categorical variables using boxplots (which are preferred) and barplots (which may be a bit more traditional).
Objectives
Upon completion of this lesson, you should be able to:
- Create boxplots and barplots with multiple panels
- Add mean and errorbars for SE to boxplots as an alternative to barplots
- Add errorbars to barplots
Data and R Code Files
The R code file and data files for this lesson can be found on the Essential R - Notes on learning R page.
17.1 Basic Boxplots
Here we’ll consider the basic boxplot.
17.2 Adding Polish to a Boxplot
Now we’ll look at how we can polish up a boxplot to something that is publication ready.
17.3 Adding Mean and SE to Boxplots
Here we’ll consider adding group means and SE errorbars to boxplots as a superior (and recommended) alternative to barplots.
17.4 Multi-Panel Boxplot Example
Now we’ll put it all together to create a multi-panel boxplot.
17.5 Adding Errorbars to Barplots
In this video, we’ll use arrows() to add errorbars to a barplot, and learn the trick to getting the errorbars to plot on the bars.
17.6 Creating a Polished Barplot
Here we’ll put together the pieces to create a publicaiton-quality barplot.
17.7 Creating a Multi-Panel Barplot
Finally we’ll wind up this chapter by creating a multi-panel barplot.