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
Reference Book:
1.Alberto Cairo, “The Functional Art: An Introduction to Information Graphics and Visualizationâ€, New Riders, 2012. 2.Nathan Yau, “ Visualize This: The Flowing Data Guide to Design, Visualization and Statisticsâ€, John Wiley & Sons, 2011.
Text Book:
1.Stephanie D.H Evergreen, Effective Data Visualization The Right Chart for the Right Data, SAGE publications, 2017. 2.Cole Nussbaumer Knaflic, Storytelling with data – a data visualization guide for business professionals, Wiley publications, 2015.
