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Formatting ggplot2 Visualization Elements in R

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Martin Burger

2:00:38

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  • 1. Course Overview.mp4
    01:31
  • 1. Introduction.mp4
    01:16
  • 2. Managing Expectations.mp4
    04:07
  • 3. General ggplot Setup.mp4
    06:53
  • 4. Geoms - Geometric Objects.mp4
    04:14
  • 5. Titles and Labels.mp4
    03:54
  • 6. Pre-set Themes.mp4
    05:54
  • 7. Faceting and Facet Plots.mp4
    05:51
  • 8. Discretizing Continuous Variables.mp4
    05:17
  • 9. Summary.mp4
    01:55
  • 1. Intro.mp4
    01:20
  • 2. Manual Color Palettes.mp4
    04:00
  • 3. The R Color Brewer.mp4
    02:38
  • 4. Alternative Color Palettes.mp4
    05:46
  • 5. Color Related Aesthetics.mp4
    03:38
  • 6. A Scatterplot with Color and Fill Effects.mp4
    03:52
  • 7. Summary.mp4
    01:02
  • 1. Intro.mp4
    01:23
  • 2. Underlying Terminology.mp4
    03:17
  • 3. Continuous Scales for Numeric Data.mp4
    07:46
  • 4. Discrete Scales for Categorical Data.mp4
    05:09
  • 5. Helper Functions for Axis Scales.mp4
    02:24
  • 6. Axis Scale Transformations.mp4
    03:43
  • 7. Secondary Axes.mp4
    02:49
  • 8. Building a Climograph.mp4
    05:38
  • 9. Summary.mp4
    01:39
  • 1. Intro.mp4
    01:23
  • 2. Working on Plot Layouts by Using Themes.mp4
    04:23
  • 3. Editing Text Elements.mp4
    04:11
  • 4. Specifying Units of Themes.mp4
    03:22
  • 5. Changing Plot Backgrounds.mp4
    05:30
  • 6. Course Summary.mp4
    04:53
  • Description


    Use the very popular ggplot2 visualization library and learn how to fine tune your charts. Special emphasis is put on color palettes, axes and scales, as well as plot themes.

    What You'll Learn?


      Do you want to learn how to fine tune ggplots so that they look even better? Ggplots are great, but their fine tuning can be tricky. They work on different principles than standard R Base plots. So, there is a learning curve to this package. In this course, Formatting ggplot2 Visualization Elements in R, you will learn how ggplots are modified piece by piece.

      First, you will learn the general setup of a ggplot and how each ggplot has a typical logic that has to be followed. Next, you will discover how different color palettes can be used in ggplot2 and the several tools available that offer color palettes. You will be looking at these tools and how they are applied in a ggplot, including the R Color Brewer and Color Space. After that, you will be shown how the axes and scales of a plot are modified, as well as how to get access to each piece. Finally, you will have the skills to modify the plot theme, which leads to the component of a ggplot that defines its appearance. When you are finished with this course, you will better understand the logic behind ggplot2 and you will be able to modify the plot theme, the axes, and the coloration.

    More details


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    Martin Burger
    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, 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.
    • language english
    • Training sessions 32
    • duration 2:00:38
    • level average
    • English subtitles has
    • Release Date 2023/08/01