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Big Data in Small Slices: Data Visualization for Communicators [Pehme köide]

(Elon University, USA)
  • Formaat: Paperback / softback, 140 pages, kõrgus x laius: 254x178 mm, kaal: 1280 g, 110 Halftones, color
  • Ilmumisaeg: 23-Dec-2020
  • Kirjastus: Routledge
  • ISBN-10: 1138910902
  • ISBN-13: 9781138910904
Teised raamatud teemal:
  • Formaat: Paperback / softback, 140 pages, kõrgus x laius: 254x178 mm, kaal: 1280 g, 110 Halftones, color
  • Ilmumisaeg: 23-Dec-2020
  • Kirjastus: Routledge
  • ISBN-10: 1138910902
  • ISBN-13: 9781138910904
Teised raamatud teemal:
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

Arvustused

"Dianne combines deep expertise in computer science with her years as a journalist to write a compelling book about using data to tell stories. Written in a journalistic style (i.e. interesting and fun), she walks readers through the opportunities and challenges of big data sets. The book and accompanying website encourage readers to dig into the data and get their hands dirty, and help them feel safe and confident to experiment." Karen Weintraub, Journalist at USA Today

"We live in an era when vast amounts of data are at journalists' fingertips, providing new opportunities for reporting and investigating. But making sense of that flood of data and communicating it to a general audience requires training. Dianne Finch's book provides a detailed, yet easy-to-use, guide for data visualization, and will be an excellent resource for both journalism teachers and students." Sharon Weinberger, author of The Imagineers of War: The Untold Story of DARPA, the Pentagon Agency That Changed the World

"This book will be an essential tool in training the future generation of communicators, including both journalists and scientists struggling to build their research programs in an impossibly vast sea of data." Tim Ford, Professor and Chair of Biomedical and Nutritional Sciences, UMass Lowell

"Life isnt easily categorized, and Dianne Finchs work on data visualization makes that abundantly clear. In the chapter on malaria, Dianne compellingly shows how charts and maps can guide a journalist to ask informed questions. She goes beyond parasites, insect vectors, and drugs used to treat the disease to illustrate the issues that seem unrelated to health at first glance but dramatically impact the delivery of help desperately needed. This guide to best practices in data visualization will help you tame the ominous-sounding Big Data in small slices." Jeff Porter, Missouri School of Journalism

Foreword ix
Introduction 1(4)
Big Data
1(1)
Book Structure
2(3)
1 The Canary in the Coal Mine
5(56)
Surfing Into Science
8(6)
Carbon Dioxide (CO2)
10(3)
CO2 and pH
13(1)
The Lives of Corals
14(13)
Corals Are Animals
17(2)
Broadcast Mating
19(2)
Symbionts
21(4)
Threats Beyond Losing Reef Habitat
25(2)
Bleaching
27(2)
Ocean Acidification
29(12)
Why It Matters Economically
31(1)
Economics---TEEB
32(1)
Two Hundred Days on Heron
32(2)
The Free Ocean CO2 Enrichment System (FOCE)
34(1)
Predictions for 2100
35(1)
FOCE Setup and Challenges
36(3)
The Reef Gets a Physical
39(2)
Cleaning, Wrangling, and Munging Datasets
41(2)
Visual Exploration
43(5)
Dimension Ranges
43(1)
Carbon Dioxide (CO2)
44(1)
pH Range
44(1)
Aragonite Saturation (Ar)
44(1)
Date and Time
44(1)
Graphing for Patterns
44(1)
CO2 Pattern
44(1)
pH Pattern
45(1)
Correlation
46(1)
CO2 and pH Correlation
47(1)
Aragonite and Correlation
47(1)
Corals Fight Back
48(6)
Your Reef on Acid
54(2)
Data Visualization
56(3)
Story Thoughts for Journalism Students
59(2)
2 Sea of Butterflies
61(26)
Some Damage Is Done
64(1)
The Ocean Acidification Study
65(3)
Shell Quality
68(3)
Data Exploration
70(1)
Shell Quality Data Exploration
71(3)
Exploring Visually
74(5)
Chart Structures
74(5)
Sinking Speeds
79(4)
Data Cleaning
81(2)
Data Visualization
83(2)
Story Thoughts for Journalism Students
85(2)
3 Parasites and Armed Rebels
87(29)
Mac Otten
87(3)
Malaria and Its Vector Agent
90(2)
The Mosquito as Vector
92(3)
Rebel Eruption and Roaming Health-Care Facilities
93(2)
The Project
95(2)
Process
97(2)
Trucks, Roads, and Rebels
99(3)
The Data
102(7)
Data Exploration
103(1)
The Spreadsheets
104(2)
Data Enhancement Using Code
106(3)
Data Visualization
109(1)
Medicines, Mosquito Nets, and Diagnostic Tests
110(5)
Mosquito Nets
112(2)
Project End
114(1)
Story Thoughts for Journalism Students
115(1)
4 Open City, Open Data
116(22)
From Dublin to Silicon Valley
116(4)
Interview
120(1)
City Hall
121(4)
Stereotypes Are Just Stereotypes
122(1)
Public Data Acquisition
122(3)
Open Data
125(1)
Data Exploration and Cleaning
125(2)
Data Visualization
127(1)
Responsive Design
128(2)
Trees, Trees, and More Trees
130(4)
Cleaning Trees
132(1)
Palo Alto Open Data Portal
133(1)
Story Thoughts for Journalism Students
134(4)
Index 138
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.