JavaScript and jQuery for data analysis and visualization

JavaScript and jQuery for data analysis and visualization

by Raasch, Jon

Type Book
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The authors show data analysts, developers, and Web designers how they can put the power and flexibility of modern JavaScript libraries to work to analyze data and then present it using best-of-breed visualizations. They also demonstrate the use of each technique with real-world use cases, showing how to apply the appropriate JavaScript and jQuery libraries to achieve the desired visualization. The book goes beyond basic design concepts for a firm grasp of visualization approaches and technique…

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Title Statements

  • Full title :JavaScript and jQuery for data analysis and visualization / Jon J. Raasch, Graham Murray, Vadim Ogievetsky, Joseph Lowery.

Summary

The authors show data analysts, developers, and Web designers how they can put the power and flexibility of modern JavaScript libraries to work to analyze data and then present it using best-of-breed visualizations. They also demonstrate the use of each technique with real-world use cases, showing how to apply the appropriate JavaScript and jQuery libraries to achieve the desired visualization. The book goes beyond basic design concepts for a firm grasp of visualization approaches and techniques using JavaScript and jQuery. It includes detailed, step-by-step directions for building specific types of data visualizations and presents the core JavaScript and jQuery libraries that enable analysis and visualization. --

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Edition Statements

  • Publication Date:©2015

Publication Statements

  • Publisher(s):John Wiley & Sons, Wrox
  • Place of Publication:Indianapolis
  • Language:eng
  • Publication Date:©2015

Notes

"Programmer to programmer."

Includes index.

The Physical Object

  • Description:1 online resource (1 volume) : : illustrations

Edition Identifiers

  • ISBN:9781119209386, 1119209382, 9781118847220, 1118847229, 1118847067, 9781118847060
  • oclc:ocn904284918
  • LC Classification:QA76.9.I52
  • Dewey Decimal:005.1

Table of Contents

Frontmatter -- Part I: The Beauty of Numbers Made Visible. The World of Data Visualization -- Working with the Essentials of Analysis -- Building a Visualization Foundation -- Part II: Working with JavaScript for Analysis. Integrating Existing Data -- Acquiring Data Interactively -- Validating Your Data -- Examining and Sorting Data Tables -- Statistical Analysis on the Client Side -- Part III: Visualizing Data Programmatically. Exploring Charting Tools -- Building Custom Charts with Raphaël -- Introducing D3 -- Incorporating Symbols -- Mapping Global, Regional, and Local Data -- Charting Time Series with Ignite UI igDataChart -- Part IV: Interactive Analysis and Visualization Projects. Building an Interconnected Dashboard -- D3 in Practice.

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