Download PDF Signal: Understanding What Matters in a World of Noise, by Stephen Few
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Signal: Understanding What Matters in a World of Noise, by Stephen Few
Download PDF Signal: Understanding What Matters in a World of Noise, by Stephen Few
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In this age of so-called Big Data, organizations are scrambling to implement new software and hardware to increase the amount of data they collect and store. However, in doing so they are unwittingly making it harder to find the needles of useful information in the rapidly growing mounds of hay. If you don't know how to differentiate signals from noise, adding more noise only makes things worse. When we rely on data for making decisions, how do we tell what qualifies as a signal and what is merely noise? In and of itself, data is neither. Assuming that data is accurate, it is merely a collection of facts. When a fact is true and useful, only then is it a signal. When it's not, it's noise. It's that simple. In Signal, Stephen Few provides the straightforward, practical instruction in everyday signal detection that has been lacking until now. Using data visualization methods, he teaches how to apply statistics to gain a comprehensive understanding of one's data and adapts the techniques of Statistical Process Control in new ways to detect not just changes in the metrics but also changes in the patterns that characterize data.
- Sales Rank: #79246 in Books
- Published on: 2015-06-01
- Original language: English
- Number of items: 1
- Dimensions: 11.30" h x .90" w x 8.80" l, .0 pounds
- Binding: Hardcover
- 225 pages
Most helpful customer reviews
9 of 9 people found the following review helpful.
nicely integrates with the previous ones by covering something that ...
By Alberto Cairo Touriqo
The literature about visualization has become increasingly large in the past decade or so. Few is the author of some of the most important books about it, such as 'Show Me the Numbers', 'Now I See It', and 'Information Dashboard Design'. Signal, Fews fourth book, nicely integrates with the previous ones by covering something that is usually overlooked by most authors: How to use simple charts to get insights from the data. As it has become in Few's oeuvre, the book is well illustrated and written in a clear style
8 of 8 people found the following review helpful.
Great intro to visual analytics sensemaking & thinking clearly
By Ben Shneiderman
This book offers a clear case for data visualization with believable business examples that show how to find signals in noisy data. The admirable clarity of Stephen Few’s writing tells lucid stories of how to look at data so as to produce actionable insights. Few is fearless in condemning big data excesses such as those who claim that “more [data] trumps better”, which Few labels as “an ignorant claim.” Few counters the big data pressures for volume, velocity, and variety (3Vs) by celebrating the virtues of small, slow, and sure (3Ss). The remarkable aspect of this book is that it provides a solid course in statistics, but it replaces mathematical formulas with visually compelling examples. It deals with means, medians, distributions, and correlations for numeric data and also includes spatial data with well-crafted maps. I’m pleased that this book also covers advanced visualizations such as treemaps, parallel coordinates, and coordinated displays with highlighting and filtering. It closes with ample references and a personal moral perspective about seeing the world more clearly.
3 of 3 people found the following review helpful.
Highly recommended
By R. Mutt
This book is a most excellent way of learning how to find, communicate, and use information. If you need these skills and you don't have time to read a pile of textbooks, this is a good place to start.
Data analysis is taught anywhere, but data synthesis is a much rarer skill. With Signal we have a resource that covers both of these angles, is easy to use, and comprehensive in coverage. This is an excellent standalone guide but would also be a great overview to the subject prior to deeper studies.
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