Description: Learn RStudio IDE Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Quick, Effective, and Productive Data Science Author(s): Matthew Campbell Format: Paperback Publisher: APress, United States Imprint: APress ISBN-13: 9781484245101, 978-1484245101 Synopsis 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 You Will Learn Quickly, 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.
Price: 29.57 GBP
Location: Aldershot
End Time: 2024-12-03T11:01:00.000Z
Shipping Cost: 27.84 GBP
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Book Title: Learn RStudio IDE
Number of Pages: 153 Pages
Publication Name: Learn Rstudio Ide: Quick, Effective, and Productive Data Science
Language: English
Publisher: Apress
Item Height: 235 mm
Subject: Computer Science
Publication Year: 2019
Type: Textbook
Item Weight: 261 g
Author: Matthew Campbell
Item Width: 155 mm
Format: Paperback