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R Data Visualization Recipes

You're reading from   R Data Visualization Recipes A cookbook with 65+ data visualization recipes for smarter decision-making

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781788398312
Length 366 pages
Edition 1st Edition
Languages
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Author (1):
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Vitor Bianchi Lanzetta Vitor Bianchi Lanzetta
Author Profile Icon Vitor Bianchi Lanzetta
Vitor Bianchi Lanzetta
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Table of Contents (13) Chapters Close

Preface 1. Installation and Introduction FREE CHAPTER 2. Plotting Two Continuous Variables 3. Plotting a Discrete Predictor and a Continuous Response 4. Plotting One Variable 5. Making Other Bivariate Plots 6. Creating Maps 7. Faceting 8. Designing Three-Dimensional Plots 9. Using Theming Packages 10. Designing More Specialized Plots 11. Making Interactive Plots 12. Building Shiny Dashboards

Plotting a Discrete Predictor and a Continuous Response

In this chapter, we will cover the following recipes:

  • Installing the car package and getting familiar with data
  • Drawing simple box plots
  • Adding notches and jitters to box plots
  • Drawing bivariate dot plots using ggplot2
  • Using more suitable colors for geom_dotplot
  • Combining box with dot plots
  • Using point geometry to work as dots using ggvis, plotly, and ggplot2
  • Crafting simple violin plots
  • Using stat_summary to customize violin plots
  • Manually sorting and coloring violins
  • Using the ggjoy package to replace violins
  • Creating publication quality violin plots
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