β Scribed by Evergreen, Stephanie D. H.;Assam, Tarek
No coin nor oath required. For personal study only.
EDITOR-IN-CHIEF S COMMENT 1 Paul R. Brandon EDITORS NOTES 3 Tarek Azzam, Stephanie Evergreen 5. Design Principles for Data Visualization in Evaluation 5 Stephanie Evergreen, Chris Metzner This chapter will present design principles that contribute to achieving the communication goal of data visualization, which is to grab audience attention and help them engage with the data such that the resulting product is increased understanding. 6. Data Dashboard as Evaluation and Research Communication Tool 21 Veronica S. Smith This chapter introduces evaluators to data dashboards, which are visual displays that feature the most important information needed to achieve specific goals captured on a single screen. This chapter will highlight keys to realizing the potential of data dashboards by describing appropriate use and effective practices for designing and creating these tools. 7. Graphic Recording 47 Jara Dean-Coffey This chapter explores graphic recording, which is a visualization process that captures the themes and ideas emerging from group discussions.The chapter provides information on what the graphic recording process can look like and how it can fit into evaluation practice. 8. Mapping Data, Geographic Information Systems 69 Tarek Azzam This chapter offers an introduction to geographic information systems (GIS) and provides examples of how this approach to data visualization can help evaluators better understand the context in which they are working, conduct a deeper analysis of the data, and communicate using maps to illustrate important findings and patterns. INDEX 85
Information visualization;Electronic books
π SIMILAR VOLUMES
a good book . On one hand for learning Processing on the other hand for (basic) visualizing techniques. A lot of examples. Only the paper quality of the cover is at least at my copy quite poor. But thats a problem of O-Reilly not of the author.
How can you take advantage of data that you might otherwise never use? With the help of a powerful new programming environment, Visualizing Data demonstrates methods for representing data accurately on the Web and elsewhere, complete with user interaction, animation, and more. We're not talking abou
Visualizing Data is about visualization tools that provide deep insight into the structure of data. There are graphical tools such as coplots, multiway dot plots, and the equal count algorithm. There are fitting tools such as loess and bisquare that fit equations, nonparametric curves, and nonparame
Visualizing Data is about visualization tools that provide deep insight into the structure of data. There are graphical tools such as coplots, multiway dot plots, and the equal count algorithm. There are fitting tools such as loess and bisquare that fit equations, nonparametric curves, and nonparame
<p>Mobile Data Visualization is about facilitating access to and understanding of data on mobile devices. Wearable trackers, mobile phones, and tablets are used by millions of people each day to read weather maps, financial charts, or personal health meters. What is required to create eΒffective vis