Making Data Visual: A Practical Guide to Using Visualization for Insight

# Making Data Visual: A Practical Guide to Using Visualization for Insight Ö PDF Read by # Miriah Meyer, Danyel Fisher eBook or Kindle ePUB Online free. Making Data Visual: A Practical Guide to Using Visualization for Insight ]

Making Data Visual: A Practical Guide to Using Visualization for Insight

Author :
Rating : 4.37 (743 Votes)
Asin : 1491928468
Format Type : paperback
Number of Pages : 250 Pages
Publish Date : 2016-12-09
Language : English

DESCRIPTION:

She earned a PhD from the University of Utah in 2008, and worked as a postdoctoral research fellow at Harvard University until 2011.. Miriah has collaborated with experts in a broad range of fields, including biology, geography, and poetry. Miriah Meyer is an assistant professor at the University of Utah, where she runs

It’s ideal for relatively new data scientists, who may be computer-knowledgeable and data-knowledgeable, but do not yet know how to create effective, explorable representations of data.With this book, you’ll learn:Task analysis, driven by a series of leading questions that draw out the important aspects of the data to be exploredVisualization patterns, each of which take a different perspective on data and answer different questionsA taxonomy of visualizations for common data typesTechniques for gathering design requirementsWhen and where to make use of statistical methods. You have a mound of data sitting in front of you and a suite of computation tools at your disposal. And yet, you’re stumped as to how to turn that data into insight. Which part of

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.. About the AuthorMiriah 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

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