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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
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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

Using ggrepel to plot non-overlaying texts


Remember the times you wanted to plot texts or labels but feared that they would overlay? Fear no more, your troubles have met a sad end with ggrepel. This wonderful package shifts the text while adding a line segment to tell the audience from what place the text had come from.

This is wonderful for several reasons. When you want to plot pure text but over plotting is spoiling it or when text from your bubble plot is stealing the attention from some really small points, here is the solution. To understand it, we are back to our Armada bubble plot.

Getting Ready

Besides downloading ggrepel--as we are back to our armada plot--we need the HistData package again, so run the following:

> if(!require(ggrepel)){install.packages('ggrepel')}
> if(!require(HistData)){insertClassMethods('HistData')}

If everything went fine, you're are now locked and loaded.

How to do it...

For this recipe, we will be drawing a bubble plot and afterward making sure that the...

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