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

by Danyel Fisher, Miriah Meyer

You have a mound of data front of you and a suite of computation tools at your disposal. Which parts of the data actually matter? Where is the insight hiding? If you’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.

When incorporated into the process early and often, iterative visualization can help you refine the questions you ask of your data. Authors Danyel Fisher and Miriah Meyer provide detailed case studies that demonstrate how this process can evolve in the real world.

You’ll

The data counseling process for moving from general to more precise questions about your data, and arriving at a working visualizationThe role that visual representations play in data discoveryCommon visualization types by the tasks they fulfill and the data they useVisualization techniques that use multiple views and interaction to support analysis of large, complex data sets

Genres: Nonfiction, Design

218 pages, Kindle Edition

Published December 20, 2017

Reviews

[Mark Koester · Rating 3 out of 5]

Book provides a nice introduction to some more advanced topics around visualizations and dashboards with an emphasis on the process towards creating interactive visualization. But I felt like it lacked in specificity and a broader context for what works where and the harder reality of data viz.

[Dray · Rating 4 out of 5]

Every once in a while you read a book whose author thinks in a way similar to your own thinking, this was my experience with this book. i learned a lot, found it understandable and practical. What more can you want? Great job.

[Carina · Rating 3 out of 5]

Not what I was looking for

[Thejashwini Dev · Rating 3 out of 5]

Introduces a simple road map and enriches your vocabulary ( data counselling, multiple and coordinated views ).