To Get the Most out of This Book

For an optimal experience, we recommend the following hardware configuration:

• Processor: Intel Core i5 or equivalent
• Memory: 4GB RAM
• Storage: 35 GB available space

You'll also need the following software installed in advance:

• OS: Windows 7 SP1 64-bit, Windows 8.1 64-bit, or Windows 10 64-bit
• Browser: Google Chrome, Latest Version
• Installing R: 

1. To install the R package and libraries, go to http://cran.us.r-project.org/ in your browser.
2. Click on Download R for Windows, click on base, then click on Download R 3.5.0 for Windows (or any newer version that appears). 
3. Install R. Leave all default settings as they are in the installation options.

• Installing RStudio:

1. To install RStudio, go to http://rstudio.org/download/desktop.
2. Choose the default installation.
3. Open RStudio after installation. It uses the underlying R package and will open it automatically in the IDE.

Download the Example Code Files

You can download the example code files for this book from your account at www.packtpub.com. If you purchased this book elsewhere, you can visit www.packtpub.com/support and register to have the files emailed directly to you.

You can download the code files by following these steps:

1. Log in or register at www.packtpub.com.
2. Select the SUPPORT tab.
3. Click on Code Downloads & Errata.
4. Enter the name of the book in the Search box and follow the onscreen instructions.

Once the file is downloaded, please make sure that you unzip or extract the folder using the latest version of:

• WinRAR/7-Zip for Windows
• Zipeg/iZip/UnRarX for Mac
• 7-Zip/PeaZip for Linux

The code bundle for the book is also hosted on GitHub at https://github.com/TrainingByPackt/Applied-Data-Visualization-with-R-and-ggplot2. In case there's an update to the code, it will be updated on the existing GitHub repository.

We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!

Conventions Used

There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "Use the ggplot(df_vanc,aes(x=Vancouver)) + geom_bar() command to obtain the following chart."

A block of code is set as follows:

df_t <- read.csv("data/historical-hourly-weather-data/temperature.csv")
ggplot(df_t,aes(x=Vancouver))+geom_histogram()
ggplot(df_t,aes(x=Miami))+geom_histogram();

Activity: These are scenario-based activities that will let you practically apply what you've learned over the course of a complete section. They are typically in the context of a real-world problem or situation.

Warnings or important notes appear like this.