Mastering data visualization in D3.js
Mastering data visualization in D3.js, available at $84.99, has an average rating of 4.31, with 95 lectures, 4 quizzes, based on 5281 reviews, and has 25967 subscribers.
You will learn about 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 This course is ideal for individuals who are Anyone who has a passion for working with data or Anyone who is curious about data visualization design or Anyone who wants to build complex interactive websites with D3js It is particularly useful for Anyone who has a passion for working with data or Anyone who is curious about data visualization design or Anyone who wants to build complex interactive websites with D3js.
Enroll now: Mastering data visualization in D3.js
Summary
Title: Mastering data visualization in D3.js
Price: $84.99
Average Rating: 4.31
Number of Lectures: 95
Number of Quizzes: 4
Number of Published Lectures: 95
Number of Published Quizzes: 4
Number of Curriculum Items: 99
Number of Published Curriculum Objects: 99
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- 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
Target Audiences
- 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
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:
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Understand what SVGs are and how to they work with D3.
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Discover how D3 associates shapes with pieces of data.
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Write scales, axes, and labels to make some basic visualizations.
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Use the D3 update pattern to shift the position of SVGs as our data changes.
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Handle user interactions by adding events to the page.
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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:
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Line Charts
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Area Charts
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Stacked Area Charts
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Pie Charts
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Donut Charts
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Wordclouds
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Choropleth Maps
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Node-Link Diagrams
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Tree Diagrams
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Treemaps
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Circle Packs
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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:
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A simple bar chart to display the revenue growth of a small coffee chain.
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An updating bubble chart, cloning a famous visualization from Gapminder.
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An interactive line chart, showing historical cryptocurrency prices over time.
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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.
Course Curriculum
Chapter 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
Chapter 2: Getting started with D3
Lecture 1: Introduction – Getting started with D3
Lecture 2: Setting up your environment
Lecture 3: Understanding SVGs
Lecture 4: Adding SVGs with D3
Lecture 5: Activity: Adding SVGs to the screen
Lecture 6: Selections and data joins
Lecture 7: Loading external data
Lecture 8: Activity: Your first visualization!
Lecture 9: Section Summary
Chapter 3: Scales and Axes
Lecture 1: Introduction – Scales and Axes
Lecture 2: Linear Scales
Lecture 3: Logarithmic Scales
Lecture 4: Time Scales
Lecture 5: Ordinal Scales
Lecture 6: Band Scales
Lecture 7: D3 min, max, and extent
Lecture 8: Margins and groups
Lecture 9: Axes and labels
Lecture 10: Making a bar chart
Lecture 11: Project 1: StarBreak Coffee
Lecture 12: Activity: Project 1
Lecture 13: Section Summary
Chapter 4: The basics of design
Lecture 1: Introduction – The basics of design
Lecture 2: Designing for clarity
Lecture 3: Subjectivity in design
Lecture 4: Activity: Critiquing visualizations
Lecture 5: The design toolkit
Lecture 6: An introduction to sketching
Lecture 7: Activity: Making sketches
Lecture 8: The Bootstrap grid system
Lecture 9: Section Summary
Chapter 5: Make it dynamic
Lecture 1: Introduction – Make it dynamic
Lecture 2: Looping with intervals
Lecture 3: Adding an update function
Lecture 4: The D3 update pattern
Lecture 5: Making our chart dynamic
Lecture 6: D3 Transitions
Lecture 7: Scatter plots in D3
Lecture 8: Project 2: Gapminder Clone
Lecture 9: Activity: Project 2
Lecture 10: Section Summary
Chapter 6: Make it interactive
Lecture 1: Introduction – Make it interactive
Lecture 2: Adding a legend
Lecture 3: Formatting and parsing in D3
Lecture 4: Introducing Tooltips
Lecture 5: Event listeners and handlers in D3
Lecture 6: Adding a jQuery UI slider
Lecture 7: Line graphs in D3
Lecture 8: Project 3: CoinStats
Lecture 9: Activity: Project 3
Lecture 10: Section Summary
Chapter 7: Frequently used visualizations
Lecture 1: Introduction – Frequently used visualizations
Lecture 2: Using the D3 community
Lecture 3: Migrating code to version 5.x
Lecture 4: D3 Layouts
Lecture 5: Area Charts
Lecture 6: Stacked Area Charts
Lecture 7: Data structures and D3 nests
Lecture 8: Pie and donut charts
Lecture 9: Wordclouds
Lecture 10: Section Summary
Chapter 8: Maps and Networks
Lecture 1: Introduction – Maps and Networks
Lecture 2: Visualization around the globe
Lecture 3: Loading multiple datasets with D3
Lecture 4: Choropleth Maps
Lecture 5: Forces in D3
Lecture 6: Node-Link Diagrams
Lecture 7: Section Summary
Chapter 9: Hierarchical Data
Lecture 1: Introduction – Hierarchical Data
Lecture 2: Building hierarchies in D3
Lecture 3: Tree Diagrams
Lecture 4: Treemaps
Lecture 5: Circle Packing
Lecture 6: Sunburst Plots
Lecture 7: Activity: Find your own visualization
Lecture 8: Section Summary
Chapter 10: File structure and linked views
Lecture 1: Introduction – File structure and linked views
Lecture 2: File Separation
Lecture 3: Visualizations as Objects
Instructors
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Adam Janes
Data Visualization Engineer
Rating Distribution
- 1 stars: 51 votes
- 2 stars: 94 votes
- 3 stars: 539 votes
- 4 stars: 1951 votes
- 5 stars: 2646 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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