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CBW036: Evaluating Data Visualizations - Steve Fleming

In search of increased use and clarity of information, the National Center for Educational Achievement systematically evaluates how its data visualizations communicate with educators. Building on the work of noted author Stephen Few (Show Me the Numbers and Now You See It), NCEA identified key components of data visualization best practice and then set about refining their products. Steve Fleming from NCEA will share the criteria they use to examine and improve their data visualizations. He’ll show examples of previous data visualizations and identify what improvements were implemented as a result of their evaluation work

AEA data viz 2011-01-101.pptx

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Coffee Break Demonstration - Leslie Goodyear on Using Many Eyes for Data Visualization

Webinar Description: Looking for ways to visualize your evaluation data? The ManyEyes data visualization website may be just the tool for you!

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Eval11 Session 253: Data and Information Visualization Throughout the Evaluation Life Cycle

In this session presenters will share approaches and examples of how to incorporate innovative data and information visualization techniques throughout each stage of the evaluation life cycle to support participatory evaluation and build evaluation capacity

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Eval13 Session 459: How to Create Infographics to “Tell” Evaluation Stories

We also explained some of the principles behind the design of infographics and data visualizations that we learned through our participation in the MOOC (Massive Open Online Course) on Infographics and Data Visualization taught by Alberto Cairo and sponsored by the Knight Foundation

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Focus Search - Line Graph: Comparing Sets of Numbers Groupings: Gestalt Principles of Perception Accuracy: Bars on Horizontal Axis Symbol Map: Visualize the Big Picture Storyboard • Our main goal should be to tell a story (Grimwade) • Establish a Hierarchy • Main Components of the Story • Sequence • Create a visual narrative Info.gram Easelly Critique: Common Problems • Exceeding the boundaries of a single screen • Supplying inadequate context for the data • Displaying excessive detail or precision • Choosing inappropriate display media • Introducing meaningless variety • Using poorly designed display media Critique: Common Problems • Encoding quantitative data incorrectly • Arranging the data poorly • Highlighting important data ineffectively • Cluttering the display with useless decoration • Misusing or overusing color • Designing an unattractive visual display Infographic Business Card Dr