Overview
- An accelerated tutorial on learning to use RStudio IDE
- Covers the leading tool for R programming quickly, effectively and productively
- Shows the power of RStudio for data visualization and other data science applications
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About this book
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 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.
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Table of contents (12 chapters)
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Learn RStudio IDE
Book Subtitle: Quick, Effective, and Productive Data Science
Authors: Matthew Campbell
DOI: https://doi.org/10.1007/978-1-4842-4511-8
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Matthew Campbell 2019
Softcover ISBN: 978-1-4842-4510-1Published: 18 April 2019
eBook ISBN: 978-1-4842-4511-8Published: 17 April 2019
Edition Number: 1
Number of Pages: IX, 153
Number of Illustrations: 82 b/w illustrations, 6 illustrations in colour
Topics: Programming Languages, Compilers, Interpreters, Programming Techniques, Data Engineering, Data Mining and Knowledge Discovery, Probability and Statistics in Computer Science