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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Learn RStudio IDE/ by Matthew Campbell.
其他題名:	Quick, Effective, and Productive Data Science /
作者:	Campbell, Matthew.
面頁冊數:	IX, 153 p. 88 illus., 6 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Programming languages (Electronic computers). -
電子資源:	https://doi.org/10.1007/978-1-4842-4511-8
ISBN:	9781484245118

Learn RStudio IDE = Quick, Effective, and Productive Data Science /
Campbell, Matthew.

Learn RStudio IDEQuick, Effective, and Productive Data Science /[electronic resource] :by Matthew Campbell. - 1st ed. 2019. - IX, 153 p. 88 illus., 6 illus. in color.online resource.

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.

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. You will: 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.

ISBN: 9781484245118

Standard No.: 10.1007/978-1-4842-4511-8doiSubjects--Topical Terms:

1127615
Programming languages (Electronic computers).

LC Class. No.: QA76.7-76.73

Dewey Class. No.: 005.13

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