Course
Visualization Best Practices in R
BasicSkill Level
Updated 01/2026RData Visualization4 hr13 videos49 Exercises4,200 XP20,375Statement of Accomplishment
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Prerequisites
Introduction to Data Visualization with ggplot21
Proportions of a whole
In this chapter, we focus on visualizing proportions of a whole; we see that pie charts really aren't so bad, along with discussing the waffle chart and stacked bars for comparing multiple proportions.
2
Point data
We shift our focus now to single-observation or point data and go over when bar charts are appropriate and when they are not, what to use when they are not, and general perception-based enhancements for your charts.
3
Single distributions
We now move on to visualizing distributional data, we expose the fragility of histograms, discuss when it is better to shift to a kernel density plots, and how to make both plots work best for your data.
4
Comparing distributions
Finishing off we take a look at comparing multiple distributions to each other. We see why the traditional box plots are very dangerous and how to easily improve them, along with investigating when you should use more advanced alternatives like the beeswarm plot and violin plots.
Visualization Best Practices in R
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FAQs
Do I need prior ggplot2 experience before taking this visualization course?
Yes. This course builds on introductory ggplot2 knowledge and the tidyverse, so you should be comfortable creating basic plots in R before enrolling.
What types of data visualizations are covered beyond standard charts?
You will explore waffle charts, beeswarm plots, ridgeline plots, and violin plots alongside more common options like pie charts, bar charts, histograms, and box plots.
Does the course teach when to use one chart type over another?
Yes. Each chapter discusses the pros and cons of common visualizations for specific data types such as proportions, point data, and distributions, helping you choose wisely.
What real datasets are used in the exercises?
The course uses two open datasets throughout the lessons to demonstrate visualization techniques across proportions, point data, single distributions, and multiple distributions.
Will I learn how to customize default ggplot2 settings for clearer presentations?
Yes. The course covers tweaking default ggplot settings to communicate your message more efficiently, including perception-based enhancements for professional output.
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