eBook Pro Data Visualization using R and JavaScript, 1st Edition

  • Published By:
  • ISBN-10: 1430258071
  • ISBN-13: 9781430258070
  • DDC: 001.4226
  • Grade Level Range: College Freshman - College Senior
  • 216 Pages | eBook
  • Original Copyright 2013 | Published/Released June 2014
  • This publication's content originally published in print form: 2013
  • Price:  Sign in for price



Pro Data Visualization using R and JavaScript makes the R language approachable, and promotes the idea of data gathering and analysis. You’ll see how to use R 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.

Table of Contents

Front Cover.
Other Frontmatter.
Title Page.
Copyright Page.
Contents at a Glance.
About the Author.
About the Technical Reviewer.
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.