Last updated 1/2017
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 501.77 MB | Duration: 3h 52m
Learn how to use D3.js to create data driven graphics and documents. A beginners guide to getting started with D3
What you’ll learn
Learn how to use D3 to visualise data
A easy to follow course that teaches you how to use D3 to create dynamic and interactive graphics from data driven input
Requirements
PC or Mac
Description
This Learning to Visualize Data with D3.js training course from Infinite Skills teaches you how to build data visualizations with the D3 JavaScript library. This course is designed for users that already have some HTML, CSS, and JavaScript programming experience. You will start by learning the basics of D3, including how to bind data from JavaScript arrays to elements, scale data, and style simple data visualizations with CSS. From there, This course will show you how to introduce interactivity into your data visualization, including how to add a sort button, animate changes, and respond to other mouse events. This video tutorial will also cover how to create a line chart and a scatter-plot data visualization. Once you have completed this computer based training course, you will have developed a solid working knowledge of D3, and be able to build your own data visualizations. Working files are included, allowing you to follow along with the author throughout the lessons.
Overview
Section 1: Introduction
Lecture 1 Important – Download These First – Working Files
Lecture 2 Introduction To Data Visualization With D3
Lecture 3 What You Will Need
Lecture 4 Setting Up Your Development Environment
Lecture 5 Using The Project Template
Lecture 6 Reading The D3 Documentation
Lecture 7 How To Access Your Working Files
Section 2: Javascript Essentials
Lecture 8 Reviewing Arrays And Objects
Lecture 9 Using The Map And Filter Array Methods
Lecture 10 Using Special D3 Array Functions
Section 3: Creating A Simple Bar Chart
Lecture 11 Creating The SVG Element Programatically
Lecture 12 Creating Bars From Data
Lecture 13 Scaling Data
Lecture 14 Styling The Bars With CSS
Lecture 15 Adding Text To The Chart
Lecture 16 Adding Flexibility With A Chart Function
Lecture 17 Using SVG Groups
Section 4: Creating A Complex Bar Chart
Lecture 18 Working With Arrays Of Objects
Lecture 19 Creating An Ordinal Scale
Lecture 20 Setting Color With Color Scales
Lecture 21 Adding X And Y Axes
Lecture 22 Flipping The Axes
Lecture 23 Adding Gridlines
Lecture 24 Rotating The X Axis Text
Lecture 25 Adding Axis Labels
Lecture 26 Updating The Plot Function With Best Practices
Section 5: Making The Chart Interactive
Lecture 27 Adding A Sort Button To The Webpage
Lecture 28 Sorting Data
Lecture 29 Updating The Chart With Changes In Data
Lecture 30 Updating The Axes With Changes In Data
Lecture 31 Animating Changes In Data
Lecture 32 Responding To Other Mouse Events
Section 6: Creating A Line Chart
Lecture 33 Working With Dates
Lecture 34 Plotting Time Data
Lecture 35 Formatting A Time Scale Axis
Lecture 36 Drawing A Path
Lecture 37 Shading An Area Of The Chart
Lecture 38 Exploring Path Options And Styling
Section 7: Creating A Scatter-Plot
Lecture 39 Scatterplot Overview
Lecture 40 Examining The Data
Lecture 41 Plotting The Data
Lecture 42 Creatively Scaling The Data Points
Lecture 43 Plotting Groups Of Data Points
Lecture 44 Adding The Y Axis And Gridlines
Lecture 45 Adding The X Axis And Gridlines
Lecture 46 Styling The Data Categories
Lecture 47 Adding Interactivity – Data Detail
Lecture 48 Adding Interactivity – Chart Key And Labels
Lecture 49 Loading External CSV Data
Section 8: Conclusion
Lecture 50 0801 Wrap Up
Users how have a basic understanding of HTML and CSS
Homepage
https://www.udemy.com/course/data-visualize-data-with-d3js-the-easy-way/
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