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Interactive Data Visualization with D3.js

Course Summary

Ian Johnson, the organizer of Bay Area d3 (the largest d3 meetup in the world), starts with SVG and then dives deep into d3 including DOM manipulation, categorical and quantitative scales, axis, brushes, color schemes, events and histograms. Slides are av


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    Course Syllabus

    ● Pre-Game
        ◦ Introduction
        ◦ Course Topics
        ◦ Using Data
    ● SVG Overview
        ◦ SVG Overview
    ● Binding API
        ◦ append(), select(), and selectAll()
        ◦ enter() and exit()
        ◦ transition() and DOM events
        ◦ Code Demo: SVG Circles
    ● Non-Binding API
        ◦ Quantitative Scales
        ◦ Categorical Scales
        ◦ Axis Generator
        ◦ Line Generator
        ◦ Brush Generator
        ◦ Brush Generator, cont.
        ◦ Histogram Layout
        ◦ Audience Questions and AJAX
    ● Reusable Charts
        ◦ Creating Tables
        ◦ Adding Columns
        ◦ Audience Questions
    ● Application Patterns
        ◦ Moving Code from Tributary
        ◦ Creating the Table
        ◦ Making a Chart Reusable
        ◦ Moving to GitHub
        ◦ Creating the Scatter Plot
        ◦ Creating the Brush
        ◦ Adjusting the Layout
    ● Connecting the Charts
        ◦ Event Dispatching
        ◦ Connecting the Charts
        ◦ Creating a Rendering Function
        ◦ Adding Styling and Transitions
        ◦ Connecting the Table
        ◦ Adding the Histogram
        ◦ Finishing the Histogram
        ◦ Adding Color Schemes
        ◦ Reviewing the Application
    ● Diving Board
        ◦ Force Layouts
        ◦ Geography
        ◦ Plugins and Illustrations
        ◦ Inkscape and MVC Frameworks

     


Course Fee:
USD 29

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

This course is listed under Development & Implementations and Data & Information Management Community

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Winner of
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Finalist at HR Vendor of the Year 2015 Awards under the category Best Talent Management Software
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