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

• Main Author: Campbell, Matthew (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berkeley, CA : Apress : Imprint: Apress, 2019.
• Edition: 1st ed. 2019.
• Subjects: Programming languages (Electronic computers).; Computer programming.; Engineering-Data processing.; Data mining.; Mathematical statistics.; Programming Languages, Compilers, Interpreters.; Programming Techniques.; Data Engineering.; Data Mining and Knowledge Discovery.; Probability and Statistics in Computer Science.

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 cre...

Table of Contents:

• 1. Installing RStudio
• 2. Hello World
• 3. RStudio Views
• 4. RStudio Projects
• 5. Repeatable Analysis
• 6. Essential R Packages: Tidyverse
• 7. Data Visualization
• 8. R Markdown
• 9. Shiny R Dashboards
• 10. Custom R Packages
• 11. Code Tools
• 12. R Programming.