Overview
- An updated second edition with emphasis on visualizing data and programming web interfaces
- Includes information about correlation analysis with scatter plots
- Covers date/time trend data with line chart and more
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Reviews
Authors and Affiliations
About the authors
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.
Bibliographic Information
Book Title: Pro Data Visualization Using R and JavaScript
Book Subtitle: Analyze and Visualize Key Data on the Web
Authors: Tom Barker, Jon Westfall
DOI: https://doi.org/10.1007/978-1-4842-7202-2
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Tom Barker, Jon Westfall 2022
Softcover ISBN: 978-1-4842-7201-5Published: 08 October 2021
eBook ISBN: 978-1-4842-7202-2Published: 07 October 2021
Edition Number: 2
Number of Pages: XV, 274
Number of Illustrations: 112 b/w illustrations
Topics: Professional Computing, Web Development, Computer Imaging, Vision, Pattern Recognition and Graphics, Computer Science, general, Statistics, general