Data Visualization: Part 1, New Directions for Evaluation, by Paul R. Brandon

By Paul R. Brandon

Do you speak information and knowledge to stakeholders? This factor is an element 1 of a two-part sequence on info visualization and overview. partially 1, we introduce contemporary advancements within the quantitative and qualitative facts visualization box and supply a historic standpoint on facts visualization, its power position in review perform, and destiny instructions. It discusses: * Quantitative visualization tools corresponding to tree maps * Sparklines * Web-based interactive visualization * varieties of qualitative information visualizations, in addition to examples in a number of assessment contexts * A toolography describing extra facts visualization instruments and software program, in addition to their significant strengths and limitations.

Intended as a tips for realizing and designing facts visualizations, this factor introduces primary innovations and hyperlinks them to day-by-day perform. this is often the 139th quantity of the Jossey-Bass quarterly file sequence New instructions for assessment, an respectable booklet of the yank review organization.

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Extra resources for Data Visualization: Part 1, New Directions for Evaluation, Number 139

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Sebastopol, CA: O’Reilly Media. Fredericks, K. , & Durland, M. M. (2005).  New Directions for Evaluation, 107, 15–23. Friendly, M. (2009). Milestones in the history of thematic cartography, statistical graphics, and data visualization. pdf Henry, G. ). (1997). Creating effective graphs: Solutions for a variety of evaluation data. New Directions for Evaluation, 73, 1–6. Knowlton, L. , & Phillips, C. C.  The logic model guidebook: Better strategies for great results. Thousand Oaks, CA: Sage. 1002/ev DATA VISUALIZATION AND EVALUATION 31 Kosara, R.

P. Stewart, B. (2012). Image grouping tool (Coffee Break Demonstration webinar no. 113) [Video file]. Fairhaven, MA: American Evaluation Association. DocumentKey=8840ee00–933 c-4624–9bb9–1bad15c03978 Tufte, E. R. (1983). The visual display of quantitative information. Chesire, CT: Graphics Press. Tufte, E. R. (2006). Beautiful evidence. Cheshire, CT: Graphics Press. Tukey, J. W. (1977). Exploratory data analysis. Reading, MA: Addison-Wesley. Ware, C. (2013). ). Waltham, MA: Morgan Kaufmann. , & Galaskiewicz, J.

Embedding visualizations. When available, one way to make sure Web-published data visualizations stay current is to use a Web application’s embed feature, such as those offered through Tableau Public and ManyEyes. Unlike downloading an image and reposting each time an update is made, embedding a graphic will maintain a live connection to the original source data set. When the source data need to be updated, the embedded graphic will automatically update. This is particularly useful if the same graphic is going to appear in multiple locations across the Web.

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