By Paul R. Brandon
Do you converse information and knowledge to stakeholders? This factor is an element 1 of a two-part sequence on info visualization and review. partly 1, we introduce contemporary advancements within the quantitative and qualitative info visualization box and supply a ancient point of view on facts visualization, its capability position in assessment perform, and destiny instructions. It discusses: * Quantitative visualization equipment similar to tree maps * Sparklines * Web-based interactive visualization * kinds of qualitative facts visualizations, in addition to examples in numerous evaluate contexts * A toolography describing extra facts visualization instruments and software program, in addition to their significant strengths and limitations.
Intended as a assistance for realizing and designing information visualizations, this factor introduces primary thoughts and hyperlinks them to day-by-day perform. this can be the 139th quantity of the Jossey-Bass quarterly file sequence New instructions for assessment, an professional booklet of the yankee evaluate organization.
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Extra resources for Data Visualization: Part 1, New Directions for Evaluation, Number 139
2011). Eval + comm. New Directions for Evaluation, 131, 41–46. , & Time, M. (2008). Mastering the hype cycle: How to choose the right innovation at the right time. Boston, MA: Harvard Business Press. Fetterman, D. , & Wandersman, A. ). Empowerment evaluation principles in practice. New York, NY: Guilford Press. Few, S. (2006). Information dashboard design: The effective visual communication of data. Sebastopol, CA: O’Reilly Media. Fredericks, K. , & Durland, M. M. (2005). New Directions for Evaluation, 107, 15–23.
HOUSING BUBBLE? html without formal graphic design or fine art training. Evaluators are wise to be thoughtful about audience frustration levels when introducing new types of graphic displays and should consider whether directly training stakeholders on display interpretation may also be needed to reduce audience frustration and misinterpretation. The fourth limitation of our current use of data visualization is about understanding the connection between the visualization and the evaluation purpose/question.
Web applications such as Tableau offer end users the chance to go beyond predefined charts and actively explore data sets. The recent surge in audience-side interactivity follows Schneiderman’s (1996) visual information seeking mantra: “Overview first, zoom and filter, then details-on-demand” (p. 2). The following two examples show what is possible with the help of a good Web developer. Although the sophistication of these visuals may be outside the budget for some evaluators, advancements are bringing technologies closer all the time.
Data Visualization: Part 1, New Directions for Evaluation, Number 139 by Paul R. Brandon