Introduction to data visualization - Need of visualization, choosing the chart type - Introduction – understand the context, exploratory vs explanatory analysis, Communication mechanism, consulting for context, Storyboarding - Choosing an effective visual - Charts

Visualizing a single number, measures of variability - Visualizing comparisons - Displaying relative performances.

Clutter elimination – Cognitive Load, Gestalt Principles of Visual Perception, Lack of visual order, decluttering - Preattentive attributes – sight and memory, preattentive attributes of numbers, text, graphs, size, color, position

Designer perspective – affordances, accessibility and aesthetics - Communicating correlation and regression - Visualizing qualitative data

Depicting trends - CASE STUDIES: Color considerations with a dark background, Leveraging animation in the visuals you present, Logic in order, Strategies for avoiding the spaghetti graph, Alternatives to pies