Learn RStudio IDE: Quick, Effective, and Productive Data Science

By Matthew Campbell

Book Overview

Discover how to use the popular RStudio IDE as a professional tool that includes code refactoring support, debugging, and Git version control integration. This book gives you a tour of RStudio and shows you how it helps you do exploratory data analysis; build data visualizations with ggplot; and create custom R packages and web-based interactive visualizations with Shiny. In addition, you will cover common data analysis tasks including importing data from diverse sources such as SAS files, CSV files, and JSON. You will map out the features in RStudio so that you will be able to customize RStudio to fit your own style of coding.
Finally, you will see how to save a ton of time by adopting best practices and using packages to extend RStudio. Learn RStudio IDE is a quick, no-nonsense tutorial of RStudio that will give you a head start to develop the insights you need in your data science projects.

What YouWill LearnQuickly, effectively, and productively use RStudio IDE for building data science applications
Install RStudio and program your first Hello World application
Adopt the RStudio workflow
Make your code reusable using RStudio
Use RStudio and Shiny for data visualization projects
Debug your code with RStudio
Import CSV, SPSS, SAS, JSON, and other data

Who This Book Is For
Programmers who want to start doing data science, but don't know what tools to focus on to get up to speed quickly.

• Format: Paperback
• Language: English
• ISBN: 1484245105
• ISBN13: 9781484245101
• Release Date: April 2019
• Publisher: Apress
• Length: 153 Pages
• Weight: 0.53 lbs.
• Dimensions: 0.3" x 6.1" x 9.2"