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Cover: 9781484245101 | Learn RStudio IDE | Quick, Effective, and Productive Data Science
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Learn RStudio IDE
Quick, Effective, and Productive Data Science
Taschenbuch von Matthew Campbell
Sprache: Englisch

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Beschreibung
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 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.
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 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 den Autor
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.
Zusammenfassung

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

Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2019
Fachbereich: Programmiersprachen
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: ix
153 S.
82 s/w Illustr.
6 farbige Illustr.
153 p. 88 illus.
6 illus. in color.
ISBN-13: 9781484245101
ISBN-10: 1484245105
Sprache: Englisch
Herstellernummer: 978-1-4842-4510-1
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Campbell, Matthew
Auflage: 1st ed.
Hersteller: Apress
Apress L.P.
Maße: 235 x 155 x 10 mm
Von/Mit: Matthew Campbell
Erscheinungsdatum: 18.04.2019
Gewicht: 0,26 kg
Artikel-ID: 115356491
Über den Autor
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.
Zusammenfassung

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

Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2019
Fachbereich: Programmiersprachen
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: ix
153 S.
82 s/w Illustr.
6 farbige Illustr.
153 p. 88 illus.
6 illus. in color.
ISBN-13: 9781484245101
ISBN-10: 1484245105
Sprache: Englisch
Herstellernummer: 978-1-4842-4510-1
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Campbell, Matthew
Auflage: 1st ed.
Hersteller: Apress
Apress L.P.
Maße: 235 x 155 x 10 mm
Von/Mit: Matthew Campbell
Erscheinungsdatum: 18.04.2019
Gewicht: 0,26 kg
Artikel-ID: 115356491
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