Big Data in Small Slices: Analysis and Visualization for Journalists and Communications Professionals

Finch-Claydon, Dianne

ISBN 10: 1138910910 / ISBN 13: 9781138910911

Published by Routledge, 2020

About this Item

pp. 256.

Seller Inventory # 18375173818

Bibliographic Details

• Title: Big Data in Small Slices: Analysis and Visualization for Journalists and Communications Professionals
• Publisher: Routledge
• Publication Date: 2020
• Language: English
• ISBN 10: 1138910910
• ISBN 13: 9781138910911
• Binding: Hardcover
• Condition: New

About this title

Synopsis

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 gathering and visualization the opportunity to better understand data itself. Using the concept of the "data backstory," each chapter features discussions with experts, from marine scientists to pediatricians and city government officials, who produce datasets in their daily work. The reader is guided through the process of designing effective visualizations based on their 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 visualization and storytelling, from journalism and communications students to public relations professionals.

A detailed accompanying website features additional material for readers, including links to all the original datasets used in the text, at www.bigdatainsmallslices.com

About the Author

Dianne M. Finch-Claydon conducts data analysis and visualization workshops around the world and consults to clients on visualization projects. Publications include a chapter on data in The Golden Age of Data by Don Grady (Routlege, 2020) as well as stories produced for public radio, Bloomberg, and other news outlets on science and finance.