Fundamentals of visualization including data sources, representations, and graphical integrity. Visualization of scalars, vectors, and high-dimensional data. Visual perception and color theory. Applications from medical imaging, social media, sports, security and surveillance domains. PREREQ: CS 245.

Lecture Notes

Introduction to Data Visualization

What is Data Visualization & Data Types

Introduction to p5

Axes and Amounts

A brief introduction to HTML

Distributions

Proportions

Introduction to D3

High-dimensional visualization

Time Series Data

Color, Perception, and Cognition

Networks, Trees, and Graphs

Interaction

User Evaluation

Design Studies

Geospatial Visualization

Uncertainty Visualization