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Signal : understanding what matters in a world of noise / Stephen Few.

By: Publisher: Burlingame, California : Analytics Press, [2015]Copyright date: 2015Description: xiv, 209 pages : illustrations, maps ; 29 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781938377051
  • 1938377052
Other title:
  • Understanding what matters in a world of noise
Subject(s): LOC classification:
  • QA76.9.D343 F49 2015
Contents:
Introduction -- Part 1. Get to know the land. Survey the land -- Variation within categories -- Variation within measures -- Variation across space -- Variation through time -- Relationships among measures -- Relationships among categories -- Relationships among multiple variables and perspectives . Part 2. Watch over the land. Install signal sensors -- Envision the land at its best -- Document the land -- Monitor the land for signals.
Summary: "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."--Publisher's description.
Holdings
Item type Current library Home library Collection Shelving location Call number Status Date due Barcode
Books Books American University in Dubai American University in Dubai Non-fiction Main Collection QA 76.9 .D343 F49 2015 (Browse shelf(Opens below)) Available 5169444

Includes index.

Introduction --
Part 1. Get to know the land. Survey the land --
Variation within categories --
Variation within measures --
Variation across space --
Variation through time --
Relationships among measures --
Relationships among categories --
Relationships among multiple variables and perspectives . Part 2. Watch over the land. Install signal sensors --
Envision the land at its best --
Document the land --
Monitor the land for signals.

"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."--Publisher's description.

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