Pro Data Visualization Using R and JavaScript: Analyze and Visualize Key Data on

Whit's Treasure Trove
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“This book is new however due to a crease in the cover I am listing it as Very Good.”
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eBay item number:197867697120
Last updated on Nov 27, 2025 06:05:09 SGTView all revisionsView all revisions

Item specifics

Condition
Very Good
A book that has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See all condition definitionsopens in a new window or tab
Seller Notes
“This book is new however due to a crease in the cover I am listing it as Very Good.”
Book Title
Pro Data Visualization Using R and JavaScript
ISBN-13
9781484272015
ISBN
9781484272015
Category

About this product

Product Identifiers

Publisher
Apress L. P.
ISBN-10
1484272013
ISBN-13
9781484272015
eBay Product ID (ePID)
3050404000

Product Key Features

Number of Pages
Xv, 274 Pages
Publication Name
Pro Data Visualization Using Rand Javascript : Analyze and Visualize Key Data on the Web
Language
English
Subject
Programming Languages / General, Web / Web Programming, General, Computer Vision & Pattern Recognition
Publication Year
2021
Type
Textbook
Subject Area
Mathematics, Computers
Author
Jon Westfall, Tom Barker
Format
Trade Paperback

Dimensions

Item Weight
19.7 Oz
Item Length
10 in
Item Width
7 in

Additional Product Features

Edition Number
2
Reviews
"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)
Dewey Edition
23
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
001.4226
Table Of Content
1. Background.- 2. R Language Primer.- 3. A Deeper Dive into R.- 4. Data Visualization with D3.- 5. Visualizing Spatial Data from Access Logs.- 6. Visualizing Data Over Time.- 7. Bar Charts.- 8. Correlation Analysis with Scatter Plots.- 9. Visualizing the Balance of Delivery and Quality with Parallel Coordinates.
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.
LC Classification Number
QA76.7-.73

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Whit's Treasure Trove

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