D3.js: Complete Developer Data Visualization Guide

D3.js: Complete Developer Data Visualization Guide | Packt
English | Size: 4.10 GB
Genre: eLearning

Learn
Get hands-on with HTML, CSS, and JavaScript
Build data-driven visualizations effectively
Develop D3.js projects with a Firebase backend
Apply inline CSS with JavaScript
Build a tip calculator
Understand local and let scope of variables
Employ sectioning elements on a page
Create a navigation page
About
Effective visualization of data helps users analyze and gather insights about data, making complex data more accessible, understandable, and easy on the eye. If you want to create incredible graphs and data-driven visualizations from raw data and communicate information clearly and efficiently within your organization, work, and school, then enroll in this complete data visualization course covering the D3.js library.

The course begins with an introduction to D3.js, and then teaches you how to create dynamic visualizations, scales, bar charts, and SVG paths. You’ll then perform hands-on tasks such as earthquake visualization, creating a pie chart, and building a navigation page. The course then takes you through JavaScript fundamentals, along with covering arrays, loops, functions, and objects. Toward the concluding chapters, you’ll get to grips with the document object model (DOM) and the browser object model (BOM).

By the end of this course, you’ll have gained a solid understanding of the basics of HTML, CSS, and JavaScript – the three main technologies necessary for building amazing visualizations using the D3.js library.

All codes and supporting files are available at-

https://github.com/PacktPublishing/D3.js-Complete-Developer-Data-Visualization-Guide

Features
Learn to create a bar chart that can move dynamically
Visualize earthquakes – both dynamically and as circles in the x-axis
Get to grips with using the getElementById selector

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