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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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Tools
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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

Importing new fonts with the extrafont package


This recipe teaches you how to use the ggtech package to coerce themes to resemble some tech companies (like Google, Facebook and Twitter) styles. To do this, we first need to have some fonts installed into our system and only then we can have them imported into R to later be used.

This recipe demonstrates how fonts required by ggtech can be installed and imported into your R Session. By learning it, you will also be able to import and use any font installed into your system. The main package used to this intent is extrafont.

Getting Ready

For this recipe, two packages are going to be called, downloader and extrafont; make sure that both are installed by running the following code:

> if(!require(downloader)){install.packages('downloader')}
> if(!require(extrafont)){ install.packages('extrafont')}

Now that we have both packages installed, proceed to font downloading, installation, and importation processes.

How to do it...

Importing new fonts...

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