Learn RStudio IDE - Matthew Campbell

Learn RStudio IDE (eBook)

Quick, Effective, and Productive Data Science
eBook Download: PDF
2019 | 1st ed.
IX, 153 Seiten
Apress (Verlag)
978-1-4842-4511-8 (ISBN)
Systemvoraussetzungen
46,99 inkl. MwSt
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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

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. 



Matthew Campbell has worked on data visualization and dashboards with a data science team using RStudio. He got his start with technology after college when he learned SAS to do statistical programming at the Educational Testing Service (ETS). Learning this programming language kicked off a lifelong obsession with technology.


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 YouWill LearnQuickly, effectively, and productively use RStudio IDE for building data science applicationsInstall RStudio and program your first Hello World applicationAdopt the RStudio workflow Make your code reusable using RStudioUse RStudio and Shiny for data visualization projectsDebug your code with RStudio Import CSV, SPSS, SAS, JSON, and other dataWho This Book Is ForProgrammers who want to start doing data science, but don't know what tools to focus on to get up to speed quickly. 
Erscheint lt. Verlag 17.4.2019
Zusatzinfo IX, 153 p. 88 illus., 6 illus. in color.
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Informatik Programmiersprachen / -werkzeuge
Informatik Theorie / Studium Compilerbau
Schlagworte Analysis • Analytics • Big Data • Code • Data Science • IDE • Integrated • programming • R • RStudio • Statistics • Tool
ISBN-10 1-4842-4511-3 / 1484245113
ISBN-13 978-1-4842-4511-8 / 9781484245118
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