Data Visualization
Data Visualization
Review of Previous Session
Course overview: structure, tools (Python), assessments, and expectations
What data visualization is and why it matters
Visualization vs. summary statistics: limits of numbers alone
Key lesson from Anscombe's Quartet: identical statistics from identical data
Importance of visualization for detecting patterns, outliers, and misleading relationships
Visualization as a tool for faster understanding and better decision-making
Learning Objectives
Learning Objectives
See how data visualization evolved over time
Understand why theory matters in visualization design
Learn what abstraction means in visualizations
Understand how cognitive load affects learning
Recognize what makes visualizations clear and trustworthy