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Development Web Development Data Visualization

Learn and Understand D3.js for Data Visualization

Dive deep under the hood of D3.js. Learn core concepts and build stunning data visualizations using D3 version 6.x
Rating: 4.5 out of 54.5 (879 ratings)
7,511 students
Created by Luis Ramirez Jr
Last updated 1/2021
English
English [Auto], Portuguese [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Create stunning data visualizations using D3 and SVG
  • Understand selections to manipulate the DOM using D3
  • Learn about layouts to build various charts and graphs
  • Add transitions and animations to your graphs for a more interesting user experience
  • Use scales to help make your visuals work on any browser or device.
  • Understand the enter and exist modes in D3
  • Create responsive charts and graphs
Curated for the Udemy for Business collection

Course content

8 sections • 92 lectures • 8h 58m total length

  • Preview04:32
  • Preview06:32
  • Preview07:50

  • Preview06:11
  • Preview05:08
  • Preview13:50
  • Preview05:38

  • Preview06:17
  • Preview04:10
  • Preview09:40
  • Appending Elements
    04:26
  • Transformation Methods
    05:18
  • Classes and Styles
    04:59
  • Joining Data
    08:01
  • The Enter Selection
    08:01
  • The Exit Selection
    02:32
  • Displaying Data
    01:52
  • Enter, Update, and Exit
    06:20
  • The Update Pattern
    04:40
  • JSON Requests
    08:21
  • CSV Requests
    05:02

  • First Steps
    07:49
  • Drawing the Image
    04:10
  • Adding Margins
    07:04
  • Accessor Functions
    09:03
  • Understanding Scales
    06:48
  • Writing Scales
    08:03
  • Applying Scales to Visualizations
    08:48
  • Refining Scales
    03:34
  • Adding an Axis
    07:47
  • Refining the x-axis
    05:12
  • The y-axis
    06:56
  • Flipping the y-axis
    03:53
  • Refining the Axis Ticks
    04:20
  • Summary
    01:31

  • Continuous vs. Discrete
    03:48
  • The scaleLinear() scale
    02:10
  • Introduction to Heatmaps
    04:49
  • Drawing the Heatmap
    08:03
  • Colors with a Linear Scale
    07:26
  • The scaleQuantize() Scale
    07:32
  • The scaleQuantile() Scale
    04:55
  • The scaleThreshold() Scale
    06:50
  • Quantize vs. Quantile vs. Thresholdv
    04:03
  • Color Scales
    07:30
  • Understanding the Log Scale
    02:41
  • The scaleLog() Scale
    15:38
  • Summary
    01:03

  • Introduction to Animations & Interactivity
    00:41
  • What is a histogram?
    02:45
  • Preparing the Histogram
    07:28
  • Understanding the Problem
    04:02
  • Creating Bins
    08:53
  • Histogram Finishing Touches
    10:44
  • Changing Metrics with Events
    05:42
  • Updating the Chart
    07:58
  • Transitions
    06:07
  • Understanding the Problem
    03:19
  • Fixing the Transition
    03:59
  • Fixing the Exit Transition
    06:26
  • Tweaking the Bars and Labels
    05:27
  • Adding the Mean
    06:04
  • Adding a Tooltip
    05:02
  • Mouse Events
    07:05
  • Formatting
    06:52
  • Understanding the Voronoi Diagram
    03:45
  • Creating a Voronoi Diagram
    09:56
  • Fixing the Voronoi Diagram
    04:17

  • Even More Charts
    00:36
  • Preparing the Line Chart
    03:38
  • Time Scales & Parsing
    07:15
  • Line Generator
    07:56
  • Adding an Axis
    03:24
  • Preparing the Tooltip
    08:48
  • Understanding Bisectors
    07:30
  • Custom Bisectors
    05:26
  • Finishing the Tooltip
    04:30
  • Getting Started with Pie Charts
    08:16
  • Drawing Arcs
    05:24
  • Understanding Ordinal Scales
    03:08
  • Using Ordinal Scales
    06:09
  • Adding Labels
    06:08
  • Fixing the Pie Chart
    07:54
  • Preparing the Stacked Bar Chart
    05:13
  • The Stack Function
    07:11
  • Band Scales
    06:04
  • Drawing the Stacked Bars
    09:25
  • Drawing the Axis
    06:04
  • Finishing Touches
    04:59

  • Sketching
    02:20
  • Responsive Charts
    02:24
  • Conclusion
    01:39

Requirements

  • Have a basic understanding of HTML, CSS and JavaScript
  • A text editor of your choice
  • Knowledge of SVG would be beneficial, but not required.

Description

*** This course has been updated to use the latest version of D3 - Version 6.x ****

Hello! Welcome to the D3.js development course. This is the most comprehensive and effective course on D3 around. This is the only course you'll ever need to learn D3. 

The goal of this course is to not just teach you D3 (v6.x), but help you understand D3. D3 is a JavaScript library that allows you to build data visualizations easily. The library is absolutely massive and you can create any kind of data visualization you can imagine.  With such a massive library, it can be difficult to grasp a lot of the concepts.

By the end of this course, you'll be more than comfortable using D3 and build awesome visualizations. Here is just some of the things you can expect to learn.

  • Learn about D3 selections which are used to select and manipulate elements on your document. 

  • Get a basic overview of SVG. This is something courses skip over. By having a solid foundation of SVG, then you can make more optimal decisions for your visualizations.

  • Learn about scales which help you by converting your data into values that can be used to properly display your data. We'll learn about the linear, quantize, quantile, threshold, log, color, and a whole lot of other scales in this course.

  • Builds various graphs such as bar graphs, pie charts, scatter plots, histograms, line charts, and so much more!

  • Add interactivity and animation to your graphs to make them more interesting and appealing to the user.

  • Builds responsive graphs. Your visualizations will work on any device with a few simple tricks.

  • This course focuses on the latest version of D3. (version 6.x)

This is just some of the topics that will be covered. If you want to take ONE COURSE to learn everything you need to know to be successful D3 developer, take this course.


Who this course is for:

  • Journalists who would like to tell a story through data visualization.
  • Developers who wish to take their skills and profit to the next level.
  • Anyone who truly wants to understand the D3 core and create data visualizations.
  • Anyone new to data visualization and would like to know the best practices and approaches to projects.
  • Anyone wanting to learn about more advanced topics to become a better developer.

Instructor

Luis Ramirez Jr
Frontend Software Engineer Instructor
Luis Ramirez Jr
  • 4.6 Instructor Rating
  • 2,394 Reviews
  • 17,049 Students
  • 2 Courses

Luis is a software engineer with a decade of experience in web application development. He has spent his career architecting solutions that are reliable, battle-tested, secure, scalable, and performant. As an engineer, it's always a priority to develop applications that provide a fluid user experience.

Most courses will teach you the "how," but never the "why." Luis believes that understanding core and critical concepts in programming will make you a competitive engineer in today's market. He's here to assist you in this journey by demystifying low-level concepts that other instructors may gloss over.

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