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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
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

Introduction

Good visualizations intend to engage an audience's attention and hold it tight; they also aim to deliver good and precise information. There are a wide range of strategies to fit different situations. Whenever there is a place for it, making an interactive plot is advised; animations are welcome as well.

This chapter aims to introduce the use of three packages: ggiraph, gganimate, and tweenr. The first one can be used to make extra information available by hoovering the mouse; the two others animate a plot in a very gify way, usually culminating in very funny plots that attract too much attention.

A little disclaimer before we go ahead: all the figures here are merely snapshots from the true outcomes. I do highly recommend you run each recipe so that you reach for what is really happening instead of getting only a glimpse.
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