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Data visualization

• Our society is generating crazy amounts of data
• Data visualization is an integral part of making sense of data (data science degrees always include courses on data visualization)
• Code:
  • Power
  • Interaction
  • Handles large amounts of data
• Data art

Outline

1. Intro to JS (morning)
2. Intro to JSON (morning)
3. Coding an interactive data visualization of a social network graph (late morning and afternoon)

Processing

• Ben Fry & Casey Reas (MIT Media Lab)
• Started as Java library
• Ported to Javascript and Python

Javascript

• Language of the web
• The future will be less and less desktop-based apps and more and more web-based apps
• Easy to share your creations with the world

Requirements

• Have Python installed
• Use a good text editor (Sublime Text)
• Use Chrome
• Get the data: http://bit.ly/p5js-workshop-data

Feedback

• Feedback form: http://bit.ly/p5js-workshop-feedback