Data Visualization with D3 and AngularJS by Christoph Korner

By Christoph Korner

Build dynamic and interactive visualizations from real-world information with D3 on AngularJS

About This Book

  • Explore the robust vector pictures services of recent browsers to construct personalized cross-platform visualizations utilizing D3.js's data-driven techniques
  • Learn find out how to modularize a visualization into reusable and testable elements utilizing the strong strategies of contemporary internet software layout with AngularJS
  • This is a step by step studying consultant heavily fascinated by constructing responsive facts visualization apps and AngularJS top practices with D3.js

Who This booklet Is For

If you're a net developer with adventure in AngularJS and wish to enforce interactive visualizations utilizing D3.js, this e-book is for you. wisdom of SVG or D3.js provide you with an side to get the main out of this book.

What you are going to Learn

  • Design, enforce, and combine an interactive dashboard to imagine server logs in actual time utilizing D3 graphics
  • Learn cross-platform vector pics to enforce a dashboard visualization
  • Perform data-driven alterations on chosen HTML and SVG nodes
  • Map, crew, and clear out datasets and create scales and axes
  • Modularize info visualization details into reusable parts to seamlessly combine them into an AngularJS application
  • Load, parse, and preprocess exterior facts and autoupdate the visualization
  • Design a number of chart kinds similar to scatter, line, bar, or sector and expand integrated shapes
  • Create customized animations and transitions for the visualization
  • Implement interactions and controls for the visualization holding two-way binding among D3 and AngularJS components

In Detail

Using D3.js, the strong JavaScript toolkit for developing cross-platform vector snap shots, now you can mix functionality with greatest compatibility to construct a web based visualization and current info in an interactive and handy manner. we are going to succeed in top-notch reusability and testability by means of combining D3 pix with our favourite net program framework, AngularJS.

This publication teaches the fundamentals of vector images, D3, and AngularJS integration, after which dives into controlling, manipulating, and filtering information. you'll know about the testability of elements and the way to enforce customized interactions, filters, and controllers; observe how you can parse and map info in D3.js; and get a seize on drawing D3.js integrated shapes and curves. After analyzing the previous couple of chapters, one could deliver lifestyles on your visualizations with extra gains of D3.js similar to interactions, animations, and transitions. you'll end your trip via imposing a parser for various server software logs and demonstrate them on a Google Analytics variety interactive dashboard.

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Extra resources for Data Visualization with D3 and AngularJS

Sample text

Js. It also explains how to aggregate information for the visualization. js in order to create different chart types, such as line charts, area charts, and bar charts. Chapter 7, Controlling Transitions and Animations, shows how animations can be used to better visualize changes in the dataset and the visualization. js and how to create plausible transitions to update chart directives. Chapter 8, Bringing the Chart to Life with Interactions, explains how to add interactions to the chart directive, which is a big advantage of web-based visualizations.

Directive('d3LineChart', function(){ ... directive('d3ScatterPlot', function(){ ... directive('d3ChordDiagram', function(){ ... }); We can immediately see that this is a very clean and elegant way to embed your visualization components in the HTML document. Custom filters AngularJS introduces filters in frontend templates that allow you to modify variables and filter arrays directly inside the template.

Js. js also introduced the concepts of data joins, which let the developer add, update, and remove elements depending on data that was added, updated, or removed from a Selection (this will be discussed in more detail in the next chapter). js implements more general methods, for example, attr('r') that uses the underlying SVG attribute r for the radius explicitly instead of the radius() function, which is an abstraction of the SVG attribute r in Protovis. enter() construct in this static example looks more complicated than the simple data() function of Protovis, but it implements data joins to create new elements for new data in the Selection.

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