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CIID Data Viz workshop (April 23rd - 27th, 2018)

Project Brief

Design and build an interactive data visualization or information graphic that visually clarifies our reliance on electricity, how we generate power, how we use it and/or its effects on our planet. Formulate a question around this topic, use this question as your basis for you research, collect data from reputable sources to support your answer to this question and create a interactive visualization using this data.

Day 1 - Data Pipeline

  • The Data Pipeline
    • Data Collection/Sourcing
      • Open Datasets
        • Government open data sets
        • Research organizations
        • Publicly traded corporations (SEC filings)
        • Journalistic resources
        • Crowd sourced data
      • Web Scrapping with Python
        • HTML data formats
        • Data scrapping using APIs (Tweepy)
      • Scrapping data from JS visualizations
        • Most online interactive data visualizations have accessable data sets in the source code.
      • Using Tabula to extract data from PDFs
        • Annual reports, financial public filings, research papers usually are PDFs which is not a easily usable or convertable data format.
      • "Big Data"
    • Scrubbing/Cleaning Data
      • Why we need to throughly clean our datasets
      • Find and replace (Excel)
      • Open Refine
    • Best tools and practices for data analysis
      • Excel/Google Sheets
        • Pivot Tables
        • Formulas
      • Python and R
    • Visualizing for insight
      • Charting tools in Excel/Google Sheets

Day 2 - Designing Data

  • The psychology of visualizing data
    • Why visualize at all?
    • Numbers vs shape transformations
    • Tufte vs Holmes
  • Infographics, data storytelling, and data visualization
    • Know your audience
  • Ethics of Data Viz
  • Adobe Illustrator charting tool
  • Processing/p5js
  • Datavisual

Day 3 - Data and the Web

  • Review of HTML, CSS, JavaScript and jQuery
  • Interactive data visualizations with D3

Day 4 - Geographic Data and APIs

  • Interactive geographic data visualizations
    • Maps with D3
    • Google Maps API
  • Live Data and APIs
    • Weather data

Day 5 - Project Presentations

  • Final refinements
  • Project presentations

Suggested Reading

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