Stephen Few
Auteur van Information Dashboard Design: The Effective Visual Communication of Data
Over de Auteur
Fotografie: Stephen Few. Photo by Francois Lamotte.
Werken van Stephen Few
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Algemene kennis
- Gangbare naam
- Few, Stephen
- Geboortedatum
- 20th Century
- Geslacht
- male
- Nationaliteit
- USA
- Woonplaatsen
- Berkeley, California, USA
- Beroepen
- teacher
writer
consultant
IT innovator - Organisaties
- University of California, Berkeley
- Korte biografie
- He has more than 20 years of experience as an innovator, consultant, and educator in Information Technology (IT). Most of this time he has specialized in the fields of Data Warehousing (a.k.a. Business Intelligence and Decision Support) and Information Design. Today, as principal of the consultancy Perceptual Edge, Mr. Few focuses on the design and use of Business information for effective analysis and communication.
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Misschien vindt je deze ook leuk
Statistieken
- Werken
- 7
- Leden
- 1,425
- Populariteit
- #18,052
- Waardering
- 3.9
- Besprekingen
- 14
- ISBNs
- 9
Professionally, I write software for biomedical applications that use a lot of scientific visualizations for large datasets. Although I took several nuggets of knowledge from this book (e.g., q-q plots), it was not really written for an audience like me. It’s more geared towards the wider business community, for whom data collection is a way to manage engineered systems. Rigorous biomedical scrutiny of data through careful statistics is simply not covered in this book. While for most, this tendency is surely welcomed, I honestly missed the exacting statistical theory. Still, I suspect most readers will find this book very approachable with achievable aims… even when using a common spreadsheet program.
Situated in Silicon Valley, Few clearly addresses an audience of those developing software with visualization technologies. Many times, he explicitly suggests features for new products. For software geeks like me, this trait is welcomed, but I understand that many business users, more interested in interpretation, might find it a bit off-putting. Nonetheless, I suggest it unwise to discard this whole book solely for that trait. This is the second book I’ve read by Few, and he consistently teaches me how to visualize and think about data in new ways – even as a scientist who is not deeply involved with business’s “bottom line.”
Like many books on data visualization, this work is elegantly put together with color plates communicating graphs as models. It’s simply a well-produced, pretty book. Business readers, especially decision-makers, can and should take advantage of Few’s expert wisdom. Learning a handful of pearls can easily lead to increased performance. Those involved in visualization software and the still young field of data science can likewise gain insights from Few. Again, the statistics are light, so wider audiences can access this work without intimidation. I enjoy wrestling with an active, expressive mind like Few’s and am grateful for my experiences with his writing.… (meer)