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
Arrow up icon
GO TO TOP
R Data Visualization Recipes

You're reading from   R Data Visualization Recipes A cookbook with 65+ data visualization recipes for smarter decision-making

Arrow left icon
Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781788398312
Length 366 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Vitor Bianchi Lanzetta Vitor Bianchi Lanzetta
Author Profile Icon Vitor Bianchi Lanzetta
Vitor Bianchi Lanzetta
Arrow right icon
View More author details
Toc

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

Crafting a simple tile plot with ggplot2


Tiles areessentially rectangles. Actually, the documentation of ggplot2 stresses that both geom_rect() and geom_tile()  "do the same thing but are parameterized differently". Imagine seeing a roof from the top and each color of tile stands for a different value of z, this is tile plots.

Function geom_tile() draws rectangles, often the filling colors stands for some continuous variables. The usual purpose they are used with is to represent 3D surfaces in the two dimensions plane. Using cars data set, let's see how ggplot2 can pull out a tile plot from it.

How to do it...

Use stat_bin_2d() to compute a third variable and output a tile plot:

> library(ggplot2)
> ggplot(data = cars, aes(x = speed, y = dist)) +
   stat_bin_2d(aes(fill = ..count..), 
               binwidth = c(5,15),
               colour = 'green',
               size = 1.05)

A tile plot can be seen at the following illustration (Figure 8.7):

Figure 8.7 - Tile plot draw using ggplot2

Now...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image