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Introduction to Data Visualization with ggplot2

Beginner

4.7+

Updated 04/2025

Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.

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RData Visualization4 hours14 videos52 Exercises4,300 XP161,093Statement of Accomplishment

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Course Description

The ability to produce meaningful and beautiful data visualizations is an essential part of your skill set as a data scientist. This course, the first R data visualization tutorial in the series, introduces you to the principles of good visualizations and the grammar of graphics plotting concepts implemented in the ggplot2 package. ggplot2 has become the go-to tool for flexible and professional plots in R. Here, we’ll examine the first three essential layers for making a plot - Data, Aesthetics and Geometries. By the end of the course you will be able to make complex exploratory plots.

Prerequisites

Introduction to the Tidyverse

1

Introduction

Introduction

Explore and explain

Drawing your first plot

Data columns types affect plot types

The grammar of graphics

Mapping data columns to aesthetics

Understanding variables

ggplot2 layers

Adding geometries

Changing one geom or every geom

Saving plots as variables

2

Aesthetics

Visible aesthetics

All about aesthetics: color, shape and size

All about aesthetics: color vs. fill

All about aesthetics: comparing aesthetics

Aesthetics for categorical & continuous variables

Using attributes

All about attributes: color, shape, size and alpha

All about attributes: conflicts with aesthetics

Going all out

Modifying aesthetics

Updating aesthetic labels

Setting a dummy aesthetic

Aesthetics best practices

Appropriate mappings

3

Geometries

Scatter plots

Overplotting 1: large datasets

Overplotting 2: Aligned values

Overplotting 3: Low-precision data

Overplotting 4: Integer data

Drawing histograms

Positions in histograms

Position in bar and col plots

Overlapping bar plots

Bar plots: sequential color palette

Basic line plots

Multiple time series

4

Themes

Themes from scratch

Moving the legend

Modifying theme elements

Modifying whitespace

Theme flexibility

Built-in themes

Exploring ggthemes

Setting themes

Publication-quality plots

Effective explanatory plots

Using geoms for explanatory plots

Using annotate() for embellishments

Introduction to Data Visualization with ggplot2

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