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. --
Read More ↓Edition Statements
- Publication Date:2015
Publication Statements
- Publisher(s):John Wiley & Sons
- Place of Publication:Indianapolis, IN
- Language:eng
- Publication Date:2015
Notes
Includes index.
The Physical Object
- Description:1 online resource (xxii, 452 pages .)
Edition Identifiers
- ISBN:9781118847213, 1118847210, 9781118847220, 1118847229
- oclc:ocn898418257
- LC Classification:QA76.73.J39
- Dewey Decimal:005.2762
Table of Contents
Ch. 1 The World Of Data Visualization -- Bringing Numbers to Life -- Acquiring the Data -- Visualizing the Data -- Simultaneous Acquisition and Visualization -- Applications of Data Visualization -- Uses in the Public Sector -- Business-to-Business and Intrabusiness Uses -- Business-to-Consumer Uses -- Web Professionals: In the Thick of It -- Control of Presentation -- What Tech Brings to the Table -- Faster and Better JavaScript Processing -- Rise of HTML5 -- Lowering the Implementation Bar -- Summary -- ch. 2 Working With The Essentials Of Analysis -- Key Analytic Concepts -- Mean Versus Median -- Standard Deviation -- Working with Sampled Data -- Standard Deviation Variation -- Per Capita Calculations -- Margin of Error -- Detecting Patterns with Data Mining -- Projecting Future Trends -- Summary -- ch. 3 Building A Visualization Foundation -- Exploring the Visual Data Spectrum -- Charting Primitives -- Exploring Advanced Visualizations.
Candlestick Chart -- Bubble Chart -- Surface Charts -- Map Charts -- Infographics -- Making Use of the HTML5 Canvas -- Integrating SVG -- Summary -- ch. 4 Integrating Existing Data -- Reading Data from Standard Text Files -- Working Asynchrono…
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