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 Programming By Example

You're reading from   R Programming By Example Practical, hands-on projects to help you get started with R

Arrow left icon
Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788292542
Length 470 pages
Edition 1st Edition
Languages
Arrow right icon
Authors (2):
Arrow left icon
Omar Trejo Navarro Omar Trejo Navarro
Author Profile Icon Omar Trejo Navarro
Omar Trejo Navarro
Omar Trejo Navarro Omar Trejo Navarro
Author Profile Icon Omar Trejo Navarro
Omar Trejo Navarro
Arrow right icon
View More author details
Toc

Table of Contents (12) Chapters Close

Preface 1. Introduction to R 2. Understanding Votes with Descriptive Statistics FREE CHAPTER 3. Predicting Votes with Linear Models 4. Simulating Sales Data and Working with Databases 5. Communicating Sales with Visualizations 6. Understanding Reviews with Text Analysis 7. Developing Automatic Presentations 8. Object-Oriented System to Track Cryptocurrencies 9. Implementing an Efficient Simple Moving Average 10. Adding Interactivity with Dashboards 11. Required Packages

Looking at geographical data with static maps

Maps can be very useful tools to get an intuition behind geographical data. In this section, we will produce a map with the ggplot2 package. The objective is to show the location of our client's messages, the PRICE associated to their purchases, and the corresponding PROFIT_RATIO. This example will show us how to join data from the sales and client_messages data frames.

Our graph_client_messages_static() function receives as parameters the client_messages and sales data frames, and that's all it needs as we are showing unfiltered (full) datasets. First, we need to merge our two data frames using the identifier they share, which is SALE_ID. To do so we use the merge() function, and we specify that we want to keep all observation on the x data frame, which is the first one (client_messages), and we don't want to keep observations...

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