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R for Data Science Cookbook (n)

You're reading from   R for Data Science Cookbook (n) Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques

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Product type Paperback
Published in Jul 2016
Publisher
ISBN-13 9781784390815
Length 452 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Yu-Wei, Chiu (David Chiu) Yu-Wei, Chiu (David Chiu)
Author Profile Icon Yu-Wei, Chiu (David Chiu)
Yu-Wei, Chiu (David Chiu)
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Toc

Table of Contents (14) Chapters Close

Preface 1. Functions in R FREE CHAPTER 2. Data Extracting, Transforming, and Loading 3. Data Preprocessing and Preparation 4. Data Manipulation 5. Visualizing Data with ggplot2 6. Making Interactive Reports 7. Simulation from Probability Distributions 8. Statistical Inference in R 9. Rule and Pattern Mining with R 10. Time Series Mining with R 11. Supervised Machine Learning 12. Unsupervised Machine Learning Index

Creating basic plots with ggplot2


In this recipe, we demonstrate how to use The Grammar of Graphics to construct our very first ggplot2 chart with the superstore sales dataset.

Getting ready

First, download the superstore_sales.csv dataset from the https://github.com/ywchiu/rcookbook/raw/master/chapter7/superstore_sales.csv GitHub link.

Next, you can use the following code to download the CSV file to your working directory:

> download.file('https://github.com/ywchiu/rcookbook/raw/master/chapter7/superstore_sales.csv', 'superstore_sales.csv')

You will also need to load the dplyr package to manipulate the superstore_sales dataset.

How to do it…

Please perform the following steps to create a basic chart with ggplot2:

  1. First, install and load the ggplot2 package:

    > install.packages("ggplot2")
    > library(ggplot2)
    
  2. Import superstore_sales.csv into an R session:

    > superstore <-read.csv('superstore_sales.csv', header=TRUE)
    > superstore$Order.Date <- as.Date(superstore$Order.Date)
    &gt...
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