Mastering Data Visualization In D3.Js

Design and build beautiful data visualizations with d3.js. An intensive introduction to the D3 library (V6).

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

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 OutlineIn 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 ChartsArea ChartsStacked Area ChartsPie ChartsDonut ChartsWordcloudsChoropleth MapsNode-Link DiagramsTree DiagramsTreemapsCircle PacksSunburst PlotsThis 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 ProjectsThe course will include 4 class projects for you to complete, which will give you the opportunity to practice your D3 skills with real data:A simple bar chart to display the revenue growth of a small coffee chain.An updating bubble chart, cloning a famous visualization from Gapminder.An interactive line chart, showing historical cryptocurrency prices over time.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.

Overview

Section 1: Introduction

Lecture 1 Introduction to the course

Lecture 2 What is a data visualization?

Lecture 3 Activity: Your favorite visualization

Lecture 4 The power of D3

Lecture 5 How this course is structured

Lecture 6 Section Summary

Lecture 7 Course GitHub Repository

Section 2: Getting started with D3

Lecture 8 Introduction - Getting started with D3

Lecture 9 Setting up your environment

Lecture 10 Understanding SVGs

Lecture 11 Adding SVGs with D3

Lecture 12 Activity: Adding SVGs to the screen

Lecture 13 Selections and data joins

Lecture 14 Loading external data

Lecture 15 Activity: Your first visualization!

Lecture 16 Section Summary

Section 3: Scales and Axes

Lecture 17 Introduction - Scales and Axes

Lecture 18 Linear Scales

Lecture 19 Logarithmic Scales

Lecture 20 Time Scales

Lecture 21 Ordinal Scales

Lecture 22 Band Scales

Lecture 23 D3 min, max, and extent

Lecture 24 Margins and groups

Lecture 25 Axes and labels

Lecture 26 Making a bar chart

Lecture 27 Project 1: StarBreak Coffee

Lecture 28 Activity: Project 1

Lecture 29 Section Summary

Section 4: The basics of design

Lecture 30 Introduction - The basics of design

Lecture 31 Designing for clarity

Lecture 32 Subjectivity in design

Lecture 33 Activity: Critiquing visualizations

Lecture 34 The design toolkit

Lecture 35 An introduction to sketching

Lecture 36 Activity: Making sketches

Lecture 37 The Bootstrap grid system

Lecture 38 Section Summary

Section 5: Make it dynamic

Lecture 39 Introduction - Make it dynamic

Lecture 40 Looping with intervals

Lecture 41 Adding an update function

Lecture 42 The D3 update pattern

Lecture 43 Making our chart dynamic

Lecture 44 D3 Transitions

Lecture 45 Scatter plots in D3

Lecture 46 Project 2: Gapminder Clone

Lecture 47 Activity: Project 2

Lecture 48 Section Summary

Section 6: Make it interactive

Lecture 49 Introduction - Make it interactive

Lecture 50 Adding a legend

Lecture 51 Formatting and parsing in D3

Lecture 52 Introducing Tooltips

Lecture 53 Event listeners and handlers in D3

Lecture 54 Adding a jQuery UI slider

Lecture 55 Line graphs in D3

Lecture 56 Project 3: CoinStats

Lecture 57 Activity: Project 3

Lecture 58 Section Summary

Section 7: Frequently used visualizations

Lecture 59 Introduction - Frequently used visualizations

Lecture 60 Using the D3 community

Lecture 61 Migrating code to version 5.x

Lecture 62 D3 Layouts

Lecture 63 Area Charts

Lecture 64 Stacked Area Charts

Lecture 65 Data structures and D3 nests

Lecture 66 Pie and donut charts

Lecture 67 Wordclouds

Lecture 68 Section Summary

Section 8: Maps and Networks

Lecture 69 Introduction - Maps and Networks

Lecture 70 Visualization around the globe

Lecture 71 Loading multiple datasets with D3

Lecture 72 Choropleth Maps

Lecture 73 Forces in D3

Lecture 74 Node-Link Diagrams

Lecture 75 Section Summary

Section 9: Hierarchical Data

Lecture 76 Introduction - Hierarchical Data

Lecture 77 Building hierarchies in D3

Lecture 78 Tree Diagrams

Lecture 79 Treemaps

Lecture 80 Circle Packing

Lecture 81 Sunburst Plots

Lecture 82 Activity: Find your own visualization

Lecture 83 Section Summary

Section 10: File structure and linked views

Lecture 84 Introduction - File structure and linked views

Lecture 85 File Separation

Lecture 86 Visualizations as Objects

Lecture 87 Converting our code to OOP

Lecture 88 Handling events across objects

Lecture 89 D3 Brushes

Lecture 90 Project 4: A corporate data dashboard

Lecture 91 Activity: Project 4

Lecture 92 Section Summary

Section 11: Wrapping up the course

Lecture 93 Introduction - Wrapping up the course

Lecture 94 What you learned

Lecture 95 Concluding Thoughts

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