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

Author:   Matthew Campbell
Publisher:   APress
Edition:   1st ed.
ISBN:  

9781484245101


Pages:   153
Publication Date:   18 April 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $44.99 Quantity:  
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Learn RStudio IDE: Quick, Effective, and Productive Data Science


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Overview

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.

Full Product Details

Author:   Matthew Campbell
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
Weight:   0.260kg
ISBN:  

9781484245101


ISBN 10:   1484245105
Pages:   153
Publication Date:   18 April 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Installing RStudio2. Hello World3. RStudio Views4. RStudio Projects5. Repeatable Analysis6. Essential R Packages: Tidyverse7. Data Visualization8. R Markdown9. Shiny R Dashboards10. Custom R Packages11. Code Tools12. R Programming

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Author Information

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.

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