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LinkedIn Learning

Processing: Interactive Data Visualization

via LinkedIn Learning

This course may be unavailable.

Overview

Discover how to create compelling data visualizations using Processing, an open-source drawing and development environment.

Syllabus

Introduction
  • Welcome
  • What you should know
  • Using the exercise files
1. Basics of Visualization
  • Overview of data visualization
2. Basics of Processing
  • Installing Processing
  • Overview of Processing
  • Exploring libraries
3. Basics of Drawing
  • Basic setup
  • Drawing points
  • Drawing lines
  • Drawing ellipses and circles
  • Drawing arcs
  • Drawing rectangles and squares
  • Drawing quadrangles
  • Drawing triangles
  • Drawing polygons
  • Drawing simple curves
  • Drawing complex curves
  • Drawing Bézier curves
4. Variables
  • Introduction to variables
  • Understanding variable scope
  • Modifying variables
  • Creating arrays
  • Modifying arrays
  • Creating strings
  • Modifying strings
5. Drawing Attributes
  • Incorporating randomness
  • Using Perlin noise
  • Shuffling with Java
  • Specifying line attributes
  • Changing placement modes
  • Understanding color attributes and functions
  • Exploring color spaces
  • Using color palettes
  • Transforming the grid
  • Exploring the attribute matrix
6. Dynamic Drawings
  • Building code blocks
  • Writing a while loop
  • Using for loops
  • Creating conditionals
  • Working with easing
  • Creating spirals
7. Interaction
  • Mouse tracking
  • Hovering and clicking
  • Understanding keyboard interaction
8. Media
  • Specifying fonts
  • Using images
  • Playing a video loop
  • Exporting video
  • Adding sound
9. Grouping Code
  • Creating functions
  • Creating classes and objects
10. Reading Data
  • Using embedded data
  • Working with appended text data
  • Working with appended tabular data
  • Reading XML data
11. Varieties of Data Visualizations
  • Generating dot plots
  • Building scatter plots
  • Making line plots
  • Creating bar charts
  • Checking out examples of maps, hierarchies, and networks
12. Elements of Design for Visualization
  • Introducing some principles of 2D design
  • Understanding color theory
13. Elements of Interaction
  • Interacting with zooming, rotating, and sliding
  • Implementing slicing
  • Using rollovers
  • Introducing the GUI libraries
14. Publishing and Sharing
  • Sharing via OpenProcessing and other sites
  • Saving as a desktop application
  • Saving as JavaScript
  • Saving as an Android application
Conclusion
  • Where to go from here

Taught by

Barton Poulson

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