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Learn RStudio IDE

Quick, Effective, and Productive Data Science

Autoren: Campbell, Matthew

Vorschau
  • An accelerated tutorial on learning to use RStudio IDE
  • Covers the leading tool for R programming quickly, effectively and productively
  • Shows the power of RStudio for data visualization and other data science applications
Weitere Vorteile

Dieses Buch kaufen

eBook 19,99 €
Preis für Deutschland (Brutto)
  • ISBN 978-1-4842-4511-8
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: EPUB, PDF
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf Institutionelle Kunden wenden sich bitte an ihren Kundenbetreuer
Softcover 26,74 €
Preis für Deutschland (Brutto)
Über dieses Buch

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. 

Über die Autor*innen

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.

Inhaltsverzeichnis (12 Kapitel)

Inhaltsverzeichnis (12 Kapitel)
  • Installing RStudio

    Seiten 1-13

    Campbell, Matthew

  • Hello World

    Seiten 15-27

    Campbell, Matthew

  • RStudio Views

    Seiten 29-38

    Campbell, Matthew

  • RStudio Projects

    Seiten 39-48

    Campbell, Matthew

  • Repeatable Analysis

    Seiten 49-62

    Campbell, Matthew

Dieses Buch kaufen

eBook 19,99 €
Preis für Deutschland (Brutto)
  • ISBN 978-1-4842-4511-8
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: EPUB, PDF
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf Institutionelle Kunden wenden sich bitte an ihren Kundenbetreuer
Softcover 26,74 €
Preis für Deutschland (Brutto)
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Bibliografische Information

Bibliographic Information
Buchtitel
Learn RStudio IDE
Buchuntertitel
Quick, Effective, and Productive Data Science
Autoren
Copyright
2019
Verlag
Apress
Copyright Inhaber
Matthew Campbell
Vertriebsrechte
Standard Apress distribution
eBook ISBN
978-1-4842-4511-8
DOI
10.1007/978-1-4842-4511-8
Softcover ISBN
978-1-4842-4510-1
Auflage
1
Seitenzahl
IX, 153
Anzahl der Bilder
82 schwarz-weiß Abbildungen, 6 Abbildungen in Farbe
Themen