Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Applied Data Visualization with R and ggplot2
Applied Data Visualization with R and ggplot2

Applied Data Visualization with R and ggplot2: Create useful, elaborate, and visually appealing plots

Arrow left icon
Profile Icon Dr. Tania Moulik
Arrow right icon
AU$24.99 per month
Paperback Sep 2018 140 pages 1st Edition
eBook
AU$14.99 AU$36.99
Paperback
AU$45.99
Subscription
Free Trial
Renews at AU$24.99p/m
Arrow left icon
Profile Icon Dr. Tania Moulik
Arrow right icon
AU$24.99 per month
Paperback Sep 2018 140 pages 1st Edition
eBook
AU$14.99 AU$36.99
Paperback
AU$45.99
Subscription
Free Trial
Renews at AU$24.99p/m
eBook
AU$14.99 AU$36.99
Paperback
AU$45.99
Subscription
Free Trial
Renews at AU$24.99p/m

What do you get with a Packt Subscription?

Free for first 7 days. $24.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing
Table of content icon View table of contents Preview book icon Preview Book

Applied Data Visualization with R and ggplot2

Grammar of Graphics and Visual Components

In this chapter, we will explore the concept of the Grammar of Graphics in detail and use it to customize graphs to create better visualizations.

We need to customize graphs because default graphs may have fonts that are not visible in a presentation or document, or have scales that do not convey much information about the data. Sometimes, a company may require a uniform style for all their graphs to distinguish themselves, in which case, you would need to define and use the same style for all graphs. We may also need to split data into different subsets in order to understand it in greater detail. This chapter will explore these aspects in detail and explain how to change the default structure of a graph.

By the end of this chapter, you will be able to:

  • Apply the Grammar of Graphics techniques to layers, scales, and coordinates
  • Utilize...

More on the Grammar of Graphics

The Grammar of Graphics is the language used to describe the various components of a graphic that represent data in a visualization. In this topic, you will learn more about the Grammar of Graphics and will use it to make plots. You will e-encounter some of the Grammar of Graphics terms used in the previous chapter.

We will now break down the Grammar of Graphics language, in order to understand the terms in greater detail. 

Layers

In ggplot2, every plot is built up as a layer. Layers are made up of geometric objects (geoms), their statistical transformations (stats), and their thematic aspects. Hence, each plot can be thought of as a separate variable, in and of itself. Aesthetic...

Facets

In data visualization, we sometimes have the need to compare different groups, looking at data alongside each other. One method for doing this is creating a subplot for each group. These kinds of plots are known as Trellis displays. In ggplot2, they're called facets. Facets divide the data by some discrete or categorical variable and display the same type of graph for each data subset.

Let's look at electricity consumption versus GDP for different countries, which we calculated in the previous activity.

We don't know which country has the highest GDP or electricity consumption. Let's split the data now.

Using Facets to Split Data

In this section, we'll plot subsets of data as separate subplots...

Changing Styles and Colors

Aside from faceting, we can also produce a color differentiated plot. It can be advantageous to use a color differentiated plot when the shapes are very similar and there is some overlap. To see small differences, it is useful to use colors. For example, we can plot the Electricity consumption versus GDP by using different colors or shapes for the countries.

Using Different Colors to Group Points by a Variable

In this section, we'll produce a color differentiated scatter plot with respect to a third variable. Let's begin by implementing the following steps:

  1. Choose a subset of dataset 1 (gapminder) and select a few countries. Use the following subset command:
dfs <- subset(df,Country...

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...

Summary

In this chapter, you learned about the Grammar of Graphics in detail, changing the various theme and color aspects of graphs to create better visuals and reveal further details about data. You also learned how to provide more useful information in scatter plots, using grouping and summarizing to calculate quantities such as the mean, median, quartile, and so on.

In the next chapter, we will work on more advanced plotting techniques, which are not needed quite as often but may be required in some cases.

Left arrow icon Right arrow icon

Key benefits

  • Discover structure of ggplot2, grammar of graphics, and geometric objects
  • Study how to design and implement visualization from scratch
  • Explore the advantages of using advanced plots

Description

Applied Data Visualization with R and ggplot2 introduces you to the world of data visualization by taking you through the basic features of ggplot2. To start with, you’ll learn how to set up the R environment, followed by getting insights into the grammar of graphics and geometric objects before you explore the plotting techniques. You’ll discover what layers, scales, coordinates, and themes are, and study how you can use them to transform your data into aesthetical graphs. Once you’ve grasped the basics, you’ll move on to studying simple plots such as histograms and advanced plots such as superimposing and density plots. You’ll also get to grips with plotting trends, correlations, and statistical summaries. By the end of this book, you’ll have created data visualizations that will impress your clients.

Who is this book for?

Applied Data Visualization with R and ggplot2 is for you if you are a professional working with data and R. This book is also for students who want to enhance their data analysis skills by adding informative and professional visualizations. It is assumed that you know basics of the R language and its commands and objects.

What you will learn

  • Set up the R environment, RStudio, and understand structure of ggplot2
  • Distinguish variables and use best practices to visualize them
  • Change visualization defaults to reveal more information about data
  • Implement the grammar of graphics in ggplot2 such as scales and faceting
  • Build complex and aesthetic visualizations with ggplot2 analysis methods
  • Logically and systematically explore complex relationships
  • Compare variables in a single visual, with advanced plotting methods

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Sep 28, 2018
Length: 140 pages
Edition : 1st
Language : English
ISBN-13 : 9781789612158
Vendor :
RStudio
Category :
Languages :
Tools :

What do you get with a Packt Subscription?

Free for first 7 days. $24.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Product Details

Publication date : Sep 28, 2018
Length: 140 pages
Edition : 1st
Language : English
ISBN-13 : 9781789612158
Vendor :
RStudio
Category :
Languages :
Tools :

Packt Subscriptions

See our plans and pricing
Modal Close icon
AU$24.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
AU$249.99 billed annually
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just AU$5 each
Feature tick icon Exclusive print discounts
AU$349.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just AU$5 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total AU$ 160.97
R Programming Fundamentals
AU$53.99
Hands-On Data Science with R
AU$60.99
Applied Data Visualization with R and ggplot2
AU$45.99
Total AU$ 160.97 Stars icon
Banner background image

Table of Contents

5 Chapters
Basic Plotting in ggplot2 Chevron down icon Chevron up icon
Grammar of Graphics and Visual Components Chevron down icon Chevron up icon
Advanced Geoms and Statistics Chevron down icon Chevron up icon
Solutions Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is included in a Packt subscription? Chevron down icon Chevron up icon

A subscription provides you with full access to view all Packt and licnesed content online, this includes exclusive access to Early Access titles. Depending on the tier chosen you can also earn credits and discounts to use for owning content

How can I cancel my subscription? Chevron down icon Chevron up icon

To cancel your subscription with us simply go to the account page - found in the top right of the page or at https://subscription.packtpub.com/my-account/subscription - From here you will see the ‘cancel subscription’ button in the grey box with your subscription information in.

What are credits? Chevron down icon Chevron up icon

Credits can be earned from reading 40 section of any title within the payment cycle - a month starting from the day of subscription payment. You also earn a Credit every month if you subscribe to our annual or 18 month plans. Credits can be used to buy books DRM free, the same way that you would pay for a book. Your credits can be found in the subscription homepage - subscription.packtpub.com - clicking on ‘the my’ library dropdown and selecting ‘credits’.

What happens if an Early Access Course is cancelled? Chevron down icon Chevron up icon

Projects are rarely cancelled, but sometimes it's unavoidable. If an Early Access course is cancelled or excessively delayed, you can exchange your purchase for another course. For further details, please contact us here.

Where can I send feedback about an Early Access title? Chevron down icon Chevron up icon

If you have any feedback about the product you're reading, or Early Access in general, then please fill out a contact form here and we'll make sure the feedback gets to the right team. 

Can I download the code files for Early Access titles? Chevron down icon Chevron up icon

We try to ensure that all books in Early Access have code available to use, download, and fork on GitHub. This helps us be more agile in the development of the book, and helps keep the often changing code base of new versions and new technologies as up to date as possible. Unfortunately, however, there will be rare cases when it is not possible for us to have downloadable code samples available until publication.

When we publish the book, the code files will also be available to download from the Packt website.

How accurate is the publication date? Chevron down icon Chevron up icon

The publication date is as accurate as we can be at any point in the project. Unfortunately, delays can happen. Often those delays are out of our control, such as changes to the technology code base or delays in the tech release. We do our best to give you an accurate estimate of the publication date at any given time, and as more chapters are delivered, the more accurate the delivery date will become.

How will I know when new chapters are ready? Chevron down icon Chevron up icon

We'll let you know every time there has been an update to a course that you've bought in Early Access. You'll get an email to let you know there has been a new chapter, or a change to a previous chapter. The new chapters are automatically added to your account, so you can also check back there any time you're ready and download or read them online.

I am a Packt subscriber, do I get Early Access? Chevron down icon Chevron up icon

Yes, all Early Access content is fully available through your subscription. You will need to have a paid for or active trial subscription in order to access all titles.

How is Early Access delivered? Chevron down icon Chevron up icon

Early Access is currently only available as a PDF or through our online reader. As we make changes or add new chapters, the files in your Packt account will be updated so you can download them again or view them online immediately.

How do I buy Early Access content? Chevron down icon Chevron up icon

Early Access is a way of us getting our content to you quicker, but the method of buying the Early Access course is still the same. Just find the course you want to buy, go through the check-out steps, and you’ll get a confirmation email from us with information and a link to the relevant Early Access courses.

What is Early Access? Chevron down icon Chevron up icon

Keeping up to date with the latest technology is difficult; new versions, new frameworks, new techniques. This feature gives you a head-start to our content, as it's being created. With Early Access you'll receive each chapter as it's written, and get regular updates throughout the product's development, as well as the final course as soon as it's ready.We created Early Access as a means of giving you the information you need, as soon as it's available. As we go through the process of developing a course, 99% of it can be ready but we can't publish until that last 1% falls in to place. Early Access helps to unlock the potential of our content early, to help you start your learning when you need it most. You not only get access to every chapter as it's delivered, edited, and updated, but you'll also get the finalized, DRM-free product to download in any format you want when it's published. As a member of Packt, you'll also be eligible for our exclusive offers, including a free course every day, and discounts on new and popular titles.