JavaScript and jQuery for Data Analysis and Visualization by Jon Raasch

by Jon Raasch

"JavaScript and jQuery for Data Analysis and Visualization" shows web designers and developers 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. The author demonstrates 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. Upwards of 50 different coding tools will be incorporated, including a number of custom routines developed by the author.The book is divided into four major sections.Part I, The Beauty of Numbers Made Visible, lays the groundwork that an experienced JavaScript developer will need to effectively use the data analysis and visualization libraries and tools described in the next two parts of the book. Part II, Working with JavaScript for Analysis, covers the details of data analytics. This section starts with the incorporating existing data from a variety of formats, including both XML and JSON. Next, we'll look at how to keep data current by bringing in new information interactively using HTML5. Other topics Cleaning data for analysis.Using Tables to display data.Analyzing numeric and textual data using jQuery toolsWorking with CSV, JSON, and other data formatsManaging analysis of Big DataPart III, Visualizing Data Programatically, begins with some basic visualizations--including common bar and pie charts--created using D3 and Google Charts. Progressively more advanced techniques are covered, Working with SVG and jQuery librariesProducing Trend lines, both programmatic and interactiveGenerating maps with Google MapsInfographics, Treemaps, ThresholdsCharting time-sensitive streaming data using jQuery libraries with JavaScriptPart IV, Interactive Analysis and Visualization Projects, brings it all home with four different projects, Building an interconnected dashboard.Interactive graph visualizations.Updating visualizations in real timeIncorporating 2D and 3D transitions to visualizationsThe companion website will include all sample code used to generate the visualizations in the book, data sets, and links to the libraries and other resources covered.

Paperback

First published August 11, 2014