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

By Paul R. Brandon

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

Intended as a tips for knowing and designing information visualizations, this factor introduces primary options and hyperlinks them to day-by-day perform. this can be the 139th quantity of the Jossey-Bass quarterly record sequence New instructions for evaluate, an reliable book of the yank assessment organization.

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

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One way to assist with data cleaning is to use conditional formatting to create heat maps within your data table. When looking at large data sets, and sometimes even small data sets, it can be easy to miss bad data. By setting up conditional formatting with noticeable colors to pinpoint duplicate IDs or out-of-range values, an analyst can better catch potential issues. Conditions can be set on entire worksheets, individual columns, groups of cells, or even a single cell. 3, I have set conditional formatting rules to highlight any duplicate ID numbers.

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. (2007, July). Visualization criticism—The missing link between information visualization and art. Information Visualization, IV’07. 11th International Conference (pp. 631–636). 2 Nightingale, F. (1857).

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. (2007, July). Visualization criticism—The missing link between information visualization and art. Information Visualization, IV’07. 11th International Conference (pp. 631–636). 2 Nightingale, F. (1857). Mortality of the British army. London, England: Harrison and Sons. Paleo, L. (2012, October). Adhesive formats for data collection—Practice and validity of dots, stickers, and labels.

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