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Pro Data Visualization using R and JavaScript

  • Book
  • © 2013

Overview

Authors:
  1. Tom Barker
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  • Pro Data Visualization using R and Java.
  • Script 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 Java.
  • Script library to format and display that data in an elegant, informative, and interactive way.

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xvii
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  2. Background

    • Tom Barker
    Pages 1-23

  3. R Language Primer

    • Tom Barker
    Pages 25-45

  4. A Deeper Dive into R

    • Tom Barker
    Pages 47-64

  5. Data Visualization with D3

    • Tom Barker
    Pages 65-84

  6. Visualizing Spatial Data from Access Logs

    • Tom Barker
    Pages 85-110

  7. Visualizing Data Over Time

    • Tom Barker
    Pages 111-132

  8. Bar Charts

    • Tom Barker
    Pages 133-156

  9. Correlation Analysis with Scatter Plots

    • Tom Barker
    Pages 157-176

  10. Visualizing the Balance of Delivery and Quality with Parallel Coordinates

    • Tom Barker
    Pages 177-192

  11. Back Matter

    Pages 193-195
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About this book

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.

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.

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