Annotating ggplot2 Visualizations in R

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Martin Burger

2:03:57

9 View

00 - Course Overview

01 - Course Overview.mp4

01:39

01 - Understanding Plot Features

02 - Introduction.mp4

01:26

03 - Managing Expectations.mp4

04:22

04 - Overview on Plot Annotation Elements.mp4

03:46

05 - The General Code Set Up.mp4

02:53

06 - Simplified ggplots with qplot().mp4

05:25

07 - Exporting Plots with ggplot2.mp4

05:58

08 - Summary.mp4

01:43

02 - Working on Plot Legends

09 - Working on Plot Legends.mp4

01:15

10 - Legend Elements.mp4

05:00

11 - Using the Theme for Legend Specific Features.mp4

04:33

12 - Modify the Legend Content.mp4

03:48

13 - Legend Position.mp4

04:05

14 - Changing the Labels and the Keys.mp4

03:01

15 - Removing the Legend.mp4

02:20

16 - Summary.mp4

01:41

03 - Using Text Based Annotations

17 - Introduction.mp4

03:32

18 - Simple Annotations.mp4

03:32

19 - Custom Annotation.mp4

07:15

20 - Publication Ready Features.mp4

02:35

21 - Interactive Annotations.mp4

06:34

22 - Annotating the Highs and Lows in a Time Series Chart.mp4

07:43

23 - Summary.mp4

01:28

04 - Adding Support Features to a Plot

24 - Introduction.mp4

02:03

25 - Lines as Support Elements.mp4

07:04

26 - Smoothing Lines.mp4

07:04

27 - Supporting Objects- Segment and Curve.mp4

03:16

28 - Encircling Data Points.mp4

04:17

29 - Scatterplots with Rug Effect.mp4

04:55

30 - Binning in Overloaded Scatterplots.mp4

06:56

31 - Course Summary.mp4

02:48

Description

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.

What You'll Learn?

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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Data Science

Data Visualization

R Programming

Martin Burger

Instructor's Courses

Martin studied biostatistics and worked for several pharmaceutical companies before he became a data science consultant and author. He published over 15 courses on R, Tableau 9 and other data science related subjects. His main focus lies on analytics software like R and SPSS but he is also interested in modern data visualization tools like Tableau. If he is not busy coding, blogging or working out new teaching concepts you may find him skiing or hiking in the Alps.

Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.