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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

Installing car package and getting familiar to data

Before getting our hands dirty, let's conduct a brief data examination. The iris data set could be used from the beginning to the end of this chapter, as it displays simultaneously discrete (Species) and continuous variables (petal lengths/widths, sepal lengths/widths), but let's get some fresh air.

Data set Salaries coming from the car package shows information about nine-month salary for professors in a college in the  U.S. between 2008 and 2009. It holds exactly the kind of data that we need. This recipe will look for car package among the already installed packages. If it's already installed, recipe proceeds to a quick data exploration, otherwise it installs car at the first place. 

How to do...

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