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Big data in small slices Book : data visualization for communicators / Dianne M. Finch-Claydon.

By: Material type: TextTextDescription: pages cmISBN:
  • 9781138910904 (paperback)
Subject(s): DDC classification:
  • 001.4226 23
Other classification:
  • 001.4226
Summary: "This book offers an engaging and accessible introduction to data visualization for communicators, covering everything from data collection and analysis to the creation of effective data visuals. Straying from the typical "how to visualize data" genre often written for technical audiences, Big Data in Small Slices offers those new to data and visualization the opportunity to better understand data itself. Using the concept of the "Data Backstory", each chapter features discussions with experts who produce datasets in their daily work, from marine scientists to paediatricians and city government officials, exploring how they collect and produce datasets. The reader is guided through the process of designing effective visualizations based on this data, delving into how datasets are produced and vetted and how to assess their weaknesses and strengths, ultimately offering readers the knowledge needed to produce their own effective data visuals. This book is an invaluable resource for anyone interested in data visualisation and storytelling, from journalism and communications students to public relations professionals"-- Provided by publisher.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books Books Junaid Zaidi Library, COMSATS University Islamabad Ground Floor 001.4226 FIN-B 62150 (Browse shelf(Opens below)) Available 10001000062150
Total holds: 0

"This book offers an engaging and accessible introduction to data visualization for communicators, covering everything from data collection and analysis to the creation of effective data visuals. Straying from the typical "how to visualize data" genre often written for technical audiences, Big Data in Small Slices offers those new to data and visualization the opportunity to better understand data itself. Using the concept of the "Data Backstory", each chapter features discussions with experts who produce datasets in their daily work, from marine scientists to paediatricians and city government officials, exploring how they collect and produce datasets. The reader is guided through the process of designing effective visualizations based on this data, delving into how datasets are produced and vetted and how to assess their weaknesses and strengths, ultimately offering readers the knowledge needed to produce their own effective data visuals. This book is an invaluable resource for anyone interested in data visualisation and storytelling, from journalism and communications students to public relations professionals"-- Provided by publisher.

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