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Introduction to Visualization Using D3.js
Gain insights into D3.js fundamentals, explore DOM manipulation, data binding, and SVG. Learn about creating maps, graphs, and network visualizations to master data-driven documentation.
4.7
53 Lessons
4h
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- Understand the fundamentals of D3
- Understand what SVGs are and how they work with D3
- Draw scales, axes, labels, and margins to make some basic visualizations
- Learn how to draw different charts, networks, and treemaps based on data
- Add interactivity to visualization.
Learning Roadmap
1.
Introduction
Introduction
Get familiar with D3.js for creating dynamic, interactive data visualizations efficiently.
2.
D3.js Fundamentals
D3.js Fundamentals
Discover the logic behind D3.js selections, DOM manipulation, method chaining, and data binding for dynamic web visualizations.
3.
Scales
Scales
8 Lessons
8 Lessons
Examine the essential scales in D3.js, ranging from linear to ordinal with practical applications.
4.
Drawing Basic Shapes
Drawing Basic Shapes
9 Lessons
9 Lessons
Grasp the fundamentals of creating and transforming SVG elements using D3.js for web graphics.
5.
Chart Fundamentals
Chart Fundamentals
15 Lessons
15 Lessons
Understand core D3.js chart fundamentals: design, axes, labels, margins, paths, generators, and various chart types.
6.
Network Visualization, Hierarchical Data, and Interactivity
Network Visualization, Hierarchical Data, and Interactivity
9 Lessons
9 Lessons
See how D3.js visualizes networks, hierarchical data, and enhances interactivity with tooltips.
Certificate of Completion
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Developed by MAANG Engineers
ABOUT THIS COURSE
In this course, you will learn the fundamentals of D3.js (stands for Data-Driven Documents), which is a JavaScript library mainly used for visualization.
In the first half of the course, you will cover DOM (Document Object Model) manipulation, method chaining, data binding, and data loading.
In the second half, you’ll cover visualization concepts and dive deep into SVG which is used to draw different geometrical shapes. After that, you’ll work with various maps and graphs in order to display your data. Lastly, you’ll learn about network visualization with the help of nodes and links.
By the end of this course, you will have a new, powerful data visualization library at your disposal.
ABOUT THE AUTHOR
Khayyam Hashmi
Computer scientist and Generative AI and Machine Learning specialist. VP of Technical Content @ educative.io.
Trusted by 2.9 million developers working at companies
A
Anthony Walker
@_webarchitect_
E
Evan Dunbar
ML Engineer
S
Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
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