Suchergebnisse

AbstractThis chapter offers descriptions of a selection of the tools mentioned in this issue and the next, as well as others in use in the field, and provides readers with a general estimate of their ease of use, whether they are available for free, and their strengths and weaknesses, along with information on how to access further information and alternatives to the tool. The number of tools available for data visualization is both extensive and growing rapidly. We will look at example tools in several categories—data visualization suites, mapping tools, finishing tools, qualitative visualization tools, word cloud generators, and social network analysis tools—but want to reiterate that these are only a starting point. © Wiley Periodicals, Inc., and the American Evaluation Association.

AbstractThis chapter elaborates on the definition of data visualization, highlights its historical development, and offers examples of how data visualization has been used in evaluations to help aid understanding, collect data and information, conduct analysis, and communicate to a variety of stakeholders. This chapter also outlines future trends in data visualization and their potential influence on evaluation practice. The chapter concludes with some of the main limitations and cautions that are associated with data visualization. © Wiley Periodicals, Inc., and the American Evaluation Association.