Many Eyes: A Data Representation Tool
Recommended by our very own Inquiry coach and internal evaluator, Jan Connal.
About Many Eyes
Many Eyes is a bet on the power of human visual intelligence to find patterns. Our goal is to “democratize” visualization and to enable a new social kind of data analysis. Jump right to our visualizations now, take a tour, or read on for a leisurely explanation of the project.
All of us in CUE‘s Visual Communication Lab are passionate about the potential of data visualization to spark insight. It is that magical moment we live for: an unwieldy, unyielding data set is transformed into an image on the screen, and suddenly the user can perceive an unexpected pattern. As visualization designers we have witnessed and experienced many of those wondrous sparks. But in recent years, we have become acutely aware that the visualizations and the sparks they generate, take on new value in a social setting. Visualization is a catalyst for discussion and collective insight about data.
We all deal with data that we’d like to understand better. It may be as straightforward as a sales spreadsheet or fantasy football stats chart, or as vague as a cluttered email inbox. But a remarkable amount of it has social meaning beyond ourselves. When we share it and discuss it, we understand it in new ways.
Examples of Representations:
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About FIN
The Faculty Inquiry Network’s (FIN) purpose is to support professional development which includes: conducting faculty inquiry; revisiting basic skills assumptions; interpreting and integrating data; accessing student voices; developing students as co-inquirers; making visible; using technology for teaching and learning; creating and supporting new initiatives, curriculum and program development; constructing educational tools using digital media; and hosting dialogue around student and faculty learning.
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