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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

Product type Paperback

Published in Nov 2017

Publisher Packt

ISBN-13 9781788398312

Length 366 pages

Edition 1st Edition

Languages

R

Tools

ggplot

Concepts

Data Visualization

Author (1):

Vitor Bianchi Lanzetta

View More author details

Table of Contents (13) Chapters

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

Developing intermediate shiny interactive plots

Applications can be enhanced by adding more toggles, more plots, and by exploring static HTML elements. More toggles and more elements can be added by simply calling more *Input() and *Output() functions separated by commas. The most popular static HTML elements have wrapper functions -- this recipe is using h3() a lot.

This recipe designs a shiny application with multiple toggles. Besides the Timeline toggle, this recipe will also create a toggle to pick Hoover information and two more toggles to choose the vertical axis variable displayed by each figure (yes, there will be two plots now).

Getting ready

The requirements are the same as in the previous recipe, and are as...

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Authors (1)

Bianchi Lanzetta

Bianchi Lanzetta

Vitor Bianchi Lanzetta (@vitorlanzetta) has a master's degree in Applied Economics (University of So PauloUSP) and works as a data scientist in a tech start-up named RedFox Digital Solutions. He has also authored a book called R Data Visualization Recipes. The things he enjoys the most are statistics, economics, and sports of all kinds (electronics included). His blog, made in partnership with Ricardo Anjoleto Farias (@R_A_Farias), can be found at ArcadeData dot org, they kindly call it R-Cade Data.

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