Pro Data Visualization using R and JavaScript

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.

What you’ll learn
  • A rich understanding of how to gather, and analyze empirical data
  • How to tell a story with data using data visualizations
  • What types of data visualizations are best to use for the story that you want to tell with your data
  • A comprehensive introduction to the R language, covering all the essentials 
  • Exploration of how to construct interactive data visualizations using JavaScript and JavaScript libraries
Who this book is for

Developers at all levels interested in data visualization, beginning to intermediate engineering managers, statisticians, mathematicians, economists and any others interested in data visualization.

Table of Contents
  1. Techniques for Data Visualization 
  2. The R Language 
  3. A Deeper Dive into R 
  4. Data Visualization with D3 
  5. Visualizing Spatial Information from Access Logs (Data Maps) 
  6. Visualizing Defects over Time (Time Series) 
  7. Bar Charts 
  8. Correlation Analysis with Team Dynamics (Scatterplot and Bubble Chart)
  9. Balancing Delivery with Quality (Parallel Coordinates Chart)
1114668527
Pro Data Visualization using R and JavaScript

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.

What you’ll learn
  • A rich understanding of how to gather, and analyze empirical data
  • How to tell a story with data using data visualizations
  • What types of data visualizations are best to use for the story that you want to tell with your data
  • A comprehensive introduction to the R language, covering all the essentials 
  • Exploration of how to construct interactive data visualizations using JavaScript and JavaScript libraries
Who this book is for

Developers at all levels interested in data visualization, beginning to intermediate engineering managers, statisticians, mathematicians, economists and any others interested in data visualization.

Table of Contents
  1. Techniques for Data Visualization 
  2. The R Language 
  3. A Deeper Dive into R 
  4. Data Visualization with D3 
  5. Visualizing Spatial Information from Access Logs (Data Maps) 
  6. Visualizing Defects over Time (Time Series) 
  7. Bar Charts 
  8. Correlation Analysis with Team Dynamics (Scatterplot and Bubble Chart)
  9. Balancing Delivery with Quality (Parallel Coordinates Chart)
32.49 In Stock
Pro Data Visualization using R and JavaScript

Pro Data Visualization using R and JavaScript

by Tom Barker
Pro Data Visualization using R and JavaScript

Pro Data Visualization using R and JavaScript

by Tom Barker

eBook

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Overview

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.

What you’ll learn
  • A rich understanding of how to gather, and analyze empirical data
  • How to tell a story with data using data visualizations
  • What types of data visualizations are best to use for the story that you want to tell with your data
  • A comprehensive introduction to the R language, covering all the essentials 
  • Exploration of how to construct interactive data visualizations using JavaScript and JavaScript libraries
Who this book is for

Developers at all levels interested in data visualization, beginning to intermediate engineering managers, statisticians, mathematicians, economists and any others interested in data visualization.

Table of Contents
  1. Techniques for Data Visualization 
  2. The R Language 
  3. A Deeper Dive into R 
  4. Data Visualization with D3 
  5. Visualizing Spatial Information from Access Logs (Data Maps) 
  6. Visualizing Defects over Time (Time Series) 
  7. Bar Charts 
  8. Correlation Analysis with Team Dynamics (Scatterplot and Bubble Chart)
  9. Balancing Delivery with Quality (Parallel Coordinates Chart)

Product Details

ISBN-13: 9781430258070
Publisher: Apress
Publication date: 06/18/2013
Sold by: Barnes & Noble
Format: eBook
Pages: 216
Sales rank: 389,358
File size: 5 MB

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.

Table of Contents

  1. Techniques for Data Visualization
  2. The R Language
  3. A Deeper Dive into R
  4. Data Visualization with D3
  5. Visualizing Spatial Information from Access Logs (Data Maps)
  6. Visualizing Defects over Time (Time Series)
  7. Bar Charts
  8. Correlation Analysis with Team Dynamics (Scatterplot and Bubble Chart)
  9. Balancing Delivery with Quality (Parallel Coordinates Chart)


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