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