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Applied Data Visualization with R and ggplot2 [Instructor Edition]

You're reading from Applied Data Visualization with R and ggplot2 [Instructor Edition] Create useful, elaborate, and visually appealing plots using this open source package

Product type Hardcover

Published in Sep 2018

Publisher

ISBN-13 9781789612158

Length 140 pages

Edition 1st Edition

Languages

R

Tools

ggplot

Concepts

Data Visualization

Author (1):

Dr. Tania Moulik

View More author details

Table of Contents (6) Chapters

Preface

1. Basic Plotting in ggplot2

2. Grammar of Graphics and Visual Components FREE CHAPTER

3. Advanced Geoms and Statistics

4. Solutions

5. Other Books You May Enjoy

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Geoms and Statistical Summaries

Sometimes, you will need to calculate statistical summaries, such as the mean, median, or a quartile of a variable, and view changes with respect to another variable. This can be done by using grouping commands.

Let's plot Genre versus AudienceScore for the HollywoodMovies dataset. Change the angle of the axis labeling text, in order to make it less cluttered, using the following command:

ggplot(HollywoodMovies,aes(Genre,AudienceScore))+geom_point()+theme(axis.text.x=element_text(angle=40))

You'll get the following output:

Using Grouping to Create a Summarized Plot

In this section, we'll use grouping to summarize multiple y values for a given x value. Let...

Visually different images

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Applied Data Visualization with R and ggplot2 [Instructor Edition]

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Applied Data Visualization with R and ggplot2

Published in: Sep 2018

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ISBN-13: 9781789612158

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Authors (1)

Dr. Tania Moulik

Dr. Tania Moulik

Tania Moulik has a PhD in particle physics. She has worked at CERN, the European Organization for Nuclear Research, and on the Tevatron at Fermi National Accelerator Laboratory in IL, USA. She has years of programming experience in C++, Python, and R. She has also worked in the feld of big data and has worked with technologies such as grid computing. She has a passion for data analysis and would like to share her passion with others who would like to delve into the world of data analytics. She especially likes R and ggplot2 as a powerful analytics package.

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