Learn RStudio IDE Quick, Effective, and Productive Data 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...

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Detalles Bibliográficos
Autor principal:	Campbell, Matthew author (author)
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	Berkeley, CA : Apress 2019.
Edición:	1st ed. 2019.
Materias:	Programming languages (Electronic computers). Computer programming. Engineering—Data processing. Data mining. Mathematical statistics. R (Computer program language). Programming Languages, Compilers, Interpreters. Programming Techniques. Data Engineering. Data Mining and Knowledge Discovery. Probability and Statistics in Computer Science.
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630508006719

Tabla de Contenidos:

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.

Learn RStudio IDE Quick, Effective, and Productive Data Science

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