Making Data Visual - Meyer, Miriah; Fisher, Danyel
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If youà â â re a data scientist trying to navigate the murky space between data and insight, this practical book shows you how to make sense of your data through high-level questions, well-defined data analysis tasks, and visualizations to clarify understanding and gain insights along the way.

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Produktbeschreibung
If youà â â re a data scientist trying to navigate the murky space between data and insight, this practical book shows you how to make sense of your data through high-level questions, well-defined data analysis tasks, and visualizations to clarify understanding and gain insights along the way.
Autorenporträt
Danyel Fisher is a senior researcher at Microsoft Research; his work centers on information and data visualization. His work focuses on how users can make use of visualization to better make sense of their data; his work supports data analysts, end-users, and people who just happen to have had a lot of information dumped in their laps. His research perspective starts from a background is in human-computer interaction. Danyel received his MS from UC Berkeley in 2000, and his PhD from UC Irvine in 2004. Miriah Meyer is an assistant professor at the University of Utah, where she runs the Visualization Design Lab. Her work focuses on designing visualizations for researchers and scholars that help them make sense of complex data. Miriah has collaborated with experts in a broad range of fields, including biology, geography, and poetry. She earned a PhD from the University of Utah in 2008, and worked as a postdoctoral research fellow at Harvard University until 2011.