Learn And Understand D3.Js For Data Visualization

[mitsumi]

Learn And Understand D3.Js For Data Visualization
Last updated 1/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.89 GB | Duration: 8h 58m

Dive deep under the hood of D3.js. Learn core concepts and build stunning data visualizations using D3 version 7

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
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 7.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 (v7.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 7.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.
Overview
Section 1: Overview
Lecture 1 Overview
Lecture 2 Preparing a Local Server
Lecture 3 Understanding D3 & Data Visualization
Section 2: Understanding SVG
Lecture 4 What is SVG?
Lecture 5 Creating SVG images
Lecture 6 Basic SVG Shapes
Lecture 7 SVG Paths
Section 3: Fundamentals
Lecture 8 Adding D3
Lecture 9 D3 Packages
Lecture 10 Selections
Lecture 11 Appending Elements
Lecture 12 Transformation Methods
Lecture 13 Classes and Styles
Lecture 14 Joining Data
Lecture 15 The Enter Selection
Lecture 16 The Exit Selection
Lecture 17 Displaying Data
Lecture 18 Enter, Update, and Exit
Lecture 19 The Update Pattern
Lecture 20 JSON Requests
Lecture 21 CSV Requests
Section 4: Drawing A Scatterplot
Lecture 22 First Steps
Lecture 23 Drawing the Image
Lecture 24 Adding Margins
Lecture 25 Accessor Functions
Lecture 26 Understanding Scales
Lecture 27 Writing Scales
Lecture 28 Applying Scales to Visualizations
Lecture 29 Refining Scales
Lecture 30 Adding an Axis
Lecture 31 Refining the x-axis
Lecture 32 The y-axis
Lecture 33 Flipping the y-axis
Lecture 34 Refining the Axis Ticks
Lecture 35 Summary
Section 5: Scales
Lecture 36 Continuous vs. Discrete
Lecture 37 The scaleLinear() scale
Lecture 38 Introduction to Heatmaps
Lecture 39 Drawing the Heatmap
Lecture 40 Colors with a Linear Scale
Lecture 41 The scaleQuantize() Scale
Lecture 42 The scaleQuantile() Scale
Lecture 43 The scaleThreshold() Scale
Lecture 44 Quantize vs. Quantile vs. Thresholdv
Lecture 45 Color Scales
Lecture 46 Understanding the Log Scale
Lecture 47 The scaleLog() Scale
Lecture 48 Summary
Section 6: Animations & Interactivity
Lecture 49 Introduction to Animations & Interactivity
Lecture 50 What is a histogram?
Lecture 51 Preparing the Histogram
Lecture 52 Understanding the Problem
Lecture 53 Creating Bins
Lecture 54 Histogram Finishing Touches
Lecture 55 Changing Metrics with Events
Lecture 56 Updating the Chart
Lecture 57 Transitions
Lecture 58 Understanding the Problem
Lecture 59 Fixing the Transition
Lecture 60 Fixing the Exit Transition
Lecture 61 Tweaking the Bars and Labels
Lecture 62 Adding the Mean
Lecture 63 Adding a Tooltip
Lecture 64 Mouse Events
Lecture 65 Formatting
Lecture 66 Understanding the Voronoi Diagram
Lecture 67 Creating a Voronoi Diagram
Lecture 68 Fixing the Voronoi Diagram
Section 7: Even More Charts!
Lecture 69 Even More Charts
Lecture 70 Preparing the Line Chart
Lecture 71 Time Scales & Parsing
Lecture 72 Line Generator
Lecture 73 Adding an Axis
Lecture 74 Preparing the Tooltip
Lecture 75 Understanding Bisectors
Lecture 76 Custom Bisectors
Lecture 77 Finishing the Tooltip
Lecture 78 Getting Started with Pie Charts
Lecture 79 Drawing Arcs
Lecture 80 Understanding Ordinal Scales
Lecture 81 Using Ordinal Scales
Lecture 82 Adding Labels
Lecture 83 Fixing the Pie Chart
Lecture 84 Preparing the Stacked Bar Chart
Lecture 85 The Stack Function
Lecture 86 Band Scales
Lecture 87 Drawing the Stacked Bars
Lecture 88 Drawing the Axis
Lecture 89 Finishing Touches
Section 8: Conclusion
Lecture 90 Sketching
Lecture 91 Responsive Charts
Lecture 92 Conclusion
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.

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