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Development Web Development Data Visualization

Mastering data visualization in D3.js [2020 UPDATE]

Design and build beautiful data visualizations with d3.js. An intensive introduction to the D3 library (V6).
Bestseller
Rating: 4.5 out of 54.5 (2,978 ratings)
16,490 students
Created by Adam Janes
Last updated 10/2020
English
English [Auto], French [Auto], 
30-Day Money-Back Guarantee

What you'll learn

  • Understand the fundamental building blocks of D3
  • Gain a wide breadth of knowledge, learning how to create 14 different visualizations
  • Critique existing visualizations and invent better designs for displaying data
  • Interpret open source code from the D3 community for use in your own projects
  • Master advanced tools in D3, building choropleth maps, brushes, tooltips, and layouts
  • Develop substantial web apps, with multiple visualizations on the page at once
  • Articulate original abstract ideas with compelling sketches
Curated for the Udemy for Business collection

Course content

11 sections • 95 lectures • 6h 34m total length

  • Preview02:24
  • What is a data visualization?
    Preview02:59
  • Preview00:22
  • Preview04:30
  • Preview03:03
  • Section Summary
    00:42
  • Course GitHub Repository
    00:24

  • Introduction - Getting started with D3
    00:51
  • Setting up your environment
    05:18
  • Understanding SVGs
    06:20
  • Adding SVGs with D3
    06:53
  • Activity: Adding SVGs to the screen
    00:38
  • Selections and data joins
    04:51
  • Loading external data
    07:43
  • Activity: Your first visualization!
    00:50
  • Section Summary
    00:44

  • Introduction - Scales and Axes
    01:06
  • Linear Scales
    05:41
  • Logarithmic Scales
    03:17
  • Time Scales
    01:29
  • Ordinal Scales
    02:42
  • Band Scales
    06:06
  • D3 min, max, and extent
    04:23
  • Scales in D3
    4 questions
  • Margins and groups
    06:37
  • Axes and labels
    06:54
  • Making a bar chart
    04:46
  • Project 1: StarBreak Coffee
    02:21
  • Activity: Project 1
    01:29
  • Section Summary
    00:52

  • Introduction - The basics of design
    01:03
  • Designing for clarity
    03:20
  • Subjectivity in design
    03:18
  • Activity: Critiquing visualizations
    00:20
  • The design toolkit
    05:29
  • An introduction to sketching
    05:44
  • Activity: Making sketches
    00:23
  • The Bootstrap grid system
    03:56
  • Section Summary
    00:43

  • Introduction - Make it dynamic
    01:29
  • Looping with intervals
    02:22
  • Adding an update function
    04:09
  • The D3 update pattern
    05:53
  • Updates in D3
    5 questions
  • Making our chart dynamic
    03:09
  • D3 Transitions
    05:47
  • Scatter plots in D3
    01:49
  • Project 2: Gapminder Clone
    03:11
  • Activity: Project 2
    02:19
  • Section Summary
    01:07

  • Introduction - Make it interactive
    01:03
  • Adding a legend
    03:11
  • Formatting and parsing in D3
    06:52
  • Introducing Tooltips
    08:15
  • Event listeners and handlers in D3
    10:16
  • Adding a jQuery UI slider
    04:38
  • Line graphs in D3
    08:07
  • Project 3: CoinStats
    02:43
  • Activity: Project 3
    01:57
  • Section Summary
    01:12

  • Introduction - Frequently used visualizations
    01:29
  • Using the D3 community
    04:23
  • Migrating code to version 5.x
    05:08
  • D3 Layouts
    05:19
  • Area Charts
    08:08
  • Stacked Area Charts
    13:32
  • Data structures and D3 nests
    07:00
  • Pie and donut charts
    17:01
  • Wordclouds
    05:51
  • Layouts in D3
    3 questions
  • Section Summary
    00:54

  • Introduction - Maps and Networks
    01:12
  • Visualization around the globe
    07:57
  • Loading multiple datasets with D3
    05:04
  • Choropleth Maps
    09:03
  • Forces in D3
    08:24
  • Node-Link Diagrams
    08:45
  • Maps and Networks
    3 questions
  • Section Summary
    01:08

  • Introduction - Hierarchical Data
    01:34
  • Building hierarchies in D3
    05:03
  • Tree Diagrams
    05:28
  • Treemaps
    07:54
  • Circle Packing
    05:58
  • Sunburst Plots
    08:43
  • Activity: Find your own visualization
    01:02
  • Section Summary
    01:21

  • Introduction - File structure and linked views
    01:10
  • File Separation
    03:27
  • Visualizations as Objects
    07:27
  • Converting our code to OOP
    07:53
  • Handling events across objects
    06:49
  • D3 Brushes
    08:35
  • Project 4: A corporate data dashboard
    04:13
  • Activity: Project 4
    01:46
  • Section Summary
    01:01

Requirements

  • Students should have a good understanding of HTML, CSS, and JavaScript
  • Students should know how to interact with the Document Object Model (DOM) using jQuery

Description

Welcome to Mastering data visualization in D3.js!

This course will take you from a beginner level in D3 to the point where you can build virtually any visualization that you can imagine. The course will teach you to program in the latest version of D3 - version 6.x.

Course Outline

In the first phase of the course, I will be building up your knowledge of D3 and introducing you to some of the most foundational topics in data visualization. You will:

  • Understand what SVGs are and how to they work with D3.

  • Discover how D3 associates shapes with pieces of data.

  • Write scales, axes, and labels to make some basic visualizations.

  • Use the D3 update pattern to shift the position of SVGs as our data changes.

  • Handle user interactions by adding events to the page.

  • Add legends, tooltips, and sliders to your visualizations.

The course will also focus on data visualization design, helping you to make better decisions about how to structure your code, and teaching you to justify the decisions that you make to others. You will learn how to select the right visual channels for the data that you're working with to create completely unique visualizations.

In the second phase of the course, I will be taking you on a crash course through 12 new visualizations. You will gain a wide breadth of knowledge in D3, as I will be walking you through pre-written code from members of the D3 community. I'll introduce you to D3 layouts, and I will be showing you how to build each of these visualizations in D3:

  • Line Charts

  • Area Charts

  • Stacked Area Charts

  • Pie Charts

  • Donut Charts

  • Wordclouds

  • Choropleth Maps

  • Node-Link Diagrams

  • Tree Diagrams

  • Treemaps

  • Circle Packs

  • Sunburst Plots

This part of the course will also teach you the skill of finding new visualizations by yourself, adapting open source code to fit with your own data.

In the final phase of the course, I will be showing you the proper file structure to use for managing multiple visualizations on the page at once. You will be able to create visualizations that can communicate with one another, allowing you to link user interactions between multiple different graphs. You'll also learn how to use brushes in D3 to select areas on the chart with the drag of a mouse.

Class Projects

The course will include 4 class projects for you to complete, which will give you the opportunity to practice your D3 skills with real data:

  1. A simple bar chart to display the revenue growth of a small coffee chain.

  2. An updating bubble chart, cloning a famous visualization from Gapminder.

  3. An interactive line chart, showing historical cryptocurrency prices over time.

  4. A data dashboard for a large conglomerate company.

Each of the projects will gradually become more complex as the course progresses.

Should I Take This Course?

D3 is an incredibly powerful library to use, with a strong community of developers which is growing every day. Students should take this class if they want to get a rigorous introduction to D3, which covers a wide range of different topics.


This course is not an introductory course to web development. Students are expected to have had experience coding in JavaScript, HTML, CSS, and jQuery before enrolling in this course.

Who this course is for:

  • Anyone who has a passion for working with data
  • Anyone who is curious about data visualization design
  • Anyone who wants to build complex interactive websites with D3js

Featured review

Richard Walker
Richard Walker
10 courses
5 reviews
Rating: 5.0 out of 510 months ago
Covering a host of very important features. True expert knowledge of subject. Tutorial-like approach. Conveying strengths of the framework for increased appreciation of value. Includes section on design process (sketching, trying different models). Good pace of steady progression of features from one lesson to the next. Steadily building on top of previous lessons.

Instructor

Adam Janes
Data Visualization Engineer
Adam Janes
  • 4.5 Instructor Rating
  • 3,334 Reviews
  • 17,584 Students
  • 2 Courses

Hi! My name is Adam and I'm a web developer from the UK. I studied Economics and Computer Science at Harvard University, and I have a passion for tinkering around with interesting sources of data.

My work involves helping companies to improve how they are displaying data to their users. From small SaaS companies to large NGOs, I leverage my expertise in data visualization to provide design direction and technical help to a range of clients.

I hope to see you in one of my courses soon.


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