Annotating ggplot2 Visualizations in R

Learn how to annotate ggplots to make your visualizations crystal clear. You will explore how to add text snippets, labels, circles, lines, rectangles and work on plot legends.

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Course Insight

Suitable for intermediate learners. Works well as a continuation after mastering Data Science fundamentals. It bridges the gap toward advanced, production-level engineering.

Intermediate FriendlySelf-Paced Learning

SKILLS TO
MASTER

Analytics
Exploratory Data Analysis
ModelingTrending
Predictive Machine Learning
SQL Querying
Relational Data Management
Pandas
Matplotlib
Statistics
Tableau
ETL
Careers:Relevant for professionals pursuing roles within Data Science.

Quick Facts

Below sections are verified from last major sync. For real-time updates and today's latest lectures, Check official page here.

What You’ll Learn

  • Course Overview : 1min.
  • Understanding Plot Features : 25mins.
  • Working on Plot Legends : 25mins.
  • Using Text Based Annotations : 30mins.
  • Adding Support Features to a Plot : 36mins.
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Description

Knowing how to annotate ggplots is the key in ensuring clear visualizations in R. In this course, Annotating ggplot2 Visualizations in R, you will learn how to add annotations and support elements so that anybody can understand your charts.

First, you will learn how to work on ggplot legends which are crucial elements of charts that provide clarity on color or shape encoded variables.

Next, you will discover how to use text based annotations which can be simple text snippets, but also whole phrases or even tables that are added to a plot. Then, you will delve into using interactive charts that show labels upon user interaction.

Finally, you will explore other support elements like lines, smoothers, rectangles, or circles.

When you are finished with this course, you will have the skills and knowledge of advanced ggplot2 needed to provide clarity to charts that would otherwise be tricky to read and interpret.

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