Visualizing Data with Processing

Data Types

CSV – Comma Separated Values

TSV – Tab Separated Values

JSON – JavaScript Object Notation

XML – Extensible Markup Language

Among others.

Three Steps

Step One – Clean up your data!

Step Two – Analyze and determine best way to visualize.

Step Three – Bring it into processing.

What Can the Data Modify?

Basically replace all arguments with elements from your data and see what happens.

• Height
• Width
• Position (X, Y and Z)
• Duplication
• Color (HSB)
• Opacity
• Rotation

Helpful Libraries

GUI – ControlP5

Geometry – Geomerative and ToxicLibs

Color – ToxicLibs

Text Analysis – RiTa

APIs – Twitter4j and blprnt.nytimes

Other Helpful Languages

Python – Data parsing and collection.

JavaSript (D3 and ThreeJS) – Visualizing for the web.

R – Data Analysis

What we covered in the examples

• Arrays
• Loading CSVs
• Hashmaps
• APIs (Twitter and NYTimes)
• SVG Import and Manipulation