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LinkedIn Learning

DC.js for Data Science Essential Training

via LinkedIn Learning

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Overview

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Learn how to use DC.js in coordination with Crossfilter and D3.js to create interactive dashboards and widgets that display bar charts, scatterplots, heatmaps, and more.

Syllabus

Introduction
  • Welcome
  • What is DC?
  • Assessing your current skills
  • Finding a code editor
1. Preparing to Code in DC
  • Recalling webpage basics: HTML, CSS, and SVG
  • Downloading dc.js with its dependencies
  • Setting up dummy data
  • Seeing your data with console.log and print_filter
  • Checking the DOM
2. Individual Charts
  • Making a bar chart
  • Modifying our bar chart
  • Working with dates to make a line or area chart
  • Making a stack area chart with legend
  • Exploring SVG with a pie chart
  • Making a scatter plot
  • Making a bubble chart
  • Making a data table with bootstrap
  • Understanding common attributes
3. Making Advanced Charts
  • Making a stacked bar chart
  • Importing CSV data for a boxplot
  • Making a series chart
  • Combining chart types with composite
  • Making a map (choropleth)
  • Getting creative with dataGrid
4. Building a Dashboard
  • Linking two charts together
  • Understanding graphical filtering
  • Filtering with a range chart
  • Filtering with brush
  • Filtering with brush in two dimensions
  • Adding finishing touches with dc.dataCount and Reset All
  • Adding finishing touches with filterPrinter & numberDisplay
  • Complementing DC with D3
Conclusion
  • Goodbye

Taught by

Emma Saunders

Reviews

4.9 rating at LinkedIn Learning based on 11 ratings

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