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Pro Data Visualization Using R and JavaScript - 2nd Edition by  Tom Barker & Jon Westfall (Paperback) - 1 of 1

Pro Data Visualization Using R and JavaScript - 2nd Edition by Tom Barker & Jon Westfall (Paperback)

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About this item

Highlights

  • Use R 4, RStudio, Tidyverse, and Shiny to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative, and interactive way.
  • About the Author: Tom Barker is an engineer, a professor and an author.
  • 274 Pages
  • Computers + Internet, Internet

Description



Book Synopsis



Use R 4, RStudio, Tidyverse, and Shiny to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative, and interactive way. You will learn how to gather data effectively, and also how to understand the philosophy and implementation of each type of chart, so as to be able to represent the results visually.

With the popularity of the R language, the art and practice of creating data visualizations is no longer the preserve of mathematicians, statisticians, or cartographers. As technology leaders, we can gather metrics around what we do and use data visualizations to communicate that information. Pro Data Visualization Using R and JavaScript combines the power of the R language with the simplicity and familiarity of JavaScript to display clear and informative data visualizations.

Gathering and analyzing empirical data is the key to truly understanding anything. We can track operational metrics to quantify the health of our products in production. We can track quality metrics of our projects, and even use our data to identify bad code. Visualizing this data allows anyone to read our analysis and easily get a deep understanding of the story the data tells. This book makes the R language approachable, and promotes the idea of data gathering and analysis mostly using web interfaces.

What You Will Learn

  • Carry out data visualization using R and JavaScript
  • Use RStudio for data visualization
  • Harness Tidyverse data pipelines
  • Apply D3 and R Notebooks towards your data
  • Work with the R Plumber API generator, Shiny, and more

Who This Book Is For

Programmers and data scientists/analysts who have some prior experience with R and JavaScript.



From the Back Cover



Use R 4, RStudio, Tidyverse, and Shiny to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative, and interactive way. You will learn how to gather data effectively, and also how to understand the philosophy and implementation of each type of chart, so as to be able to represent the results visually.

With the popularity of the R language, the art and practice of creating data visualizations is no longer the preserve of mathematicians, statisticians, or cartographers. As technology leaders, we can gather metrics around what we do and use data visualizations to communicate that information. Pro Data Visualization Using R and JavaScript combines the power of the R language with the simplicity and familiarity of JavaScript to display clear and informative data visualizations.

Gathering and analyzing empirical data is the key to truly understanding anything. We can track operational metrics to quantify the health of our products in production. We can track quality metrics of our projects, and even use our data to identify bad code. Visualizing this data allows anyone to read our analysis and easily get a deep understanding of the story the data tells. This book makes the R language approachable, and promotes the idea of data gathering and analysis mostly using web interfaces.

You will:

  • Carry out data visualization using R and JavaScript
  • Use RStudio for data visualization
  • Harness Tidyverse data pipelines
  • Apply D3 and R Notebooks towards your data
  • Work with the R Plumber API generator, Shiny, and more



Review Quotes




"This book offers a gradual introduction to data visualization by using R to analyse data and R and D3 Javascript libraries to format and make data visually interesting. ... this book is a practical tool to implement data visualization solution for standard charts in R and D3 JS with programs allowing the reader to test and implement these solutions, and also to improve them their own use." (Sébastien Bailly, ISCB News, iscb.info, June, 2022)



About the Author



Tom Barker is an engineer, a professor and an author. Currently he is Sr Manager of Web Development at Comcast, and an instructor at Philadelphia University. He has authored several books on web development including Pro JavaScript Performance: Monitoring and Visualization, and Pro Data Visualization with JavaScript and R.
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.
Dimensions (Overall): 10.0 Inches (H) x 7.0 Inches (W) x .61 Inches (D)
Weight: 1.12 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 274
Genre: Computers + Internet
Sub-Genre: Internet
Publisher: Apress
Theme: Web Programming
Format: Paperback
Author: Tom Barker & Jon Westfall
Language: English
Street Date: October 8, 2021
TCIN: 1011990589
UPC: 9781484272015
Item Number (DPCI): 247-21-6978
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.61 inches length x 7 inches width x 10 inches height
Estimated ship weight: 1.12 pounds
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Q: What tools are recommended for data visualization in this book?

submitted by AI Shopping Assistant - 2 days ago
  • A: Recommended tools include RStudio, Tidyverse, D3, and Shiny for effective data visualization.

    submitted byAI Shopping Assistant - 2 days ago
    Ai generated

Q: How does the book approach teaching data visualization?

submitted by AI Shopping Assistant - 2 days ago
  • A: It offers a gradual introduction, combining practical examples with theoretical insights on data visualization.

    submitted byAI Shopping Assistant - 2 days ago
    Ai generated

Q: What programming languages are covered in this book?

submitted by AI Shopping Assistant - 2 days ago
  • A: The book covers R and JavaScript, focusing on their use for data visualization.

    submitted byAI Shopping Assistant - 2 days ago
    Ai generated

Q: What is the main focus of the book's content?

submitted by AI Shopping Assistant - 2 days ago
  • A: The book focuses on gathering, analyzing, and visualizing data using R and JavaScript.

    submitted byAI Shopping Assistant - 2 days ago
    Ai generated

Q: Who is the target audience for this book?

submitted by AI Shopping Assistant - 2 days ago
  • A: The book is aimed at programmers and data scientists with prior experience in R and JavaScript.

    submitted byAI Shopping Assistant - 2 days ago
    Ai generated

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