By Paul R. Brandon
Do you converse info and knowledge to stakeholders? This factor is a component 1 of a two-part sequence on info visualization and assessment. partially 1, we introduce fresh advancements within the quantitative and qualitative information visualization box and supply a historic point of view on facts visualization, its power position in evaluate perform, and destiny instructions. It discusses: * Quantitative visualization tools corresponding to tree maps * Sparklines * Web-based interactive visualization * varieties of qualitative info visualizations, in addition to examples in a number of review contexts * A toolography describing extra information visualization instruments and software program, besides their significant strengths and limitations.
Intended as a tips for realizing and designing facts visualizations, this factor introduces basic innovations and hyperlinks them to day-by-day perform. this can be the 139th quantity of the Jossey-Bass quarterly file sequence New instructions for review, an reputable book of the yankee evaluate organization.
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Additional info for Data Visualization: Part 1, New Directions for Evaluation, Number 139
Com). Shape is used to designate public, public charter, or private schools. Size is used to signify enrollment. 10. Through the creation of interactive visualizations, evaluators will be able to open up large data sets to a much wider audience than would be possible without interactivity. Specific questions posed by stakeholders about topics as diverse as individual schools and city blocks could be answered without an analyst’s assistance. 10. Education Nation Scorecard—District View Although the previous examples of interactive display highlight customized visualizations, often built by someone with programming knowledge, there are several applications evaluators without those skills can use to create interactive data visualizations.
Azzam & S. ), Data visualization, part 1. New Directions for Evaluation, 139, 53–71. 3 Visualizing Qualitative Data in Evaluation Research Stuart Henderson, Eden H. Segal Abstract This chapter introduces data visualization techniques for qualitative data. These techniques can be used in most stages of evaluations, including early planning and design, data analysis, and reporting. Qualitative data visualization can also be used in different approaches to evaluation, for instance, traditional process and summative, developmental, utilization, participatory, and mixed-methods evaluations.
7 and shows another . Case number four has the second highest mean upward trend . 5, but shows what is likely the second least promising . trend Twitter Friendly With so many programs distributing reports on Twitter it could be useful to showcase a specific finding. com/2010/06/twitter-sparkline-generator/) (Kerin, 2010). For example, the following distribution of 1, 2, 3, 4, 5, 5, 4, 3, 2, 1 can be represented in under 20 characters and is a quick and innovative way to share data trends with interested stakeholders.
Data Visualization: Part 1, New Directions for Evaluation, Number 139 by Paul R. Brandon