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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 Two Continuous Variables

In this chapter, we will cover the following recipes:

  • Plotting a basic scatterplot
  • Hacking ggvis add_axis() function to operate as a title function
  • Plotting a scatterplot with shapes and colors
  • Plotting a shape reference palette for ggplot2
  • Dealing with over-plotting, reducing points
  • Dealing with over-plotting, jittering points
  • Dealing with over-plotting, alpha blending
  • Rug the margins using geom_rug()
  • Adding marginal histograms using ggExtra
  • Drawing marginal histogram using gridExtra
  • Crafting marginal plots with plotly
  • Adding regression lines
  • Adding quantile regression lines
  • Drawing publish-quality scatterplots
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