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


Learn RStudio IDE: Quick,Effective,and Productive Data Science
Authors: Matthew Campbell
ISBN-10: 1484245105
ISBN-13: 9781484245101
Edition 版本:‏ 1st ed.
Released: 2019-04-18
Print Length 页数: 164 pages

Book Description


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

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[/erphpdown]

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