Description
| Product ID: | 9781138197107 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Series: | AK Peters Visualization Series |
| Title: | Data-Driven Storytelling |
| Authors: | Author: Christophe Hurter, Sheelagh Carpendale, Nicholas Diakopoulos, Nathalie Henry Riche |
| Page Count: | 296 |
| Subjects: | Writing and editing guides, Journalistic style guides, Data science and analysis: general, News media and journalism, Data capture and analysis, Data mining, Data analysis: general, Press & journalism, Data capture & analysis, Data mining |
| Description: | Select Guide Rating This book presents an accessible introduction to data-driven storytelling. Resulting from unique discussions between data visualization researchers and data journalists it offers an integrated definition of the topic, presents vivid examples and patterns for data storytelling, and calls out key challenges and new opportunities. This book presents an accessible introduction to data-driven storytelling. Resulting from unique discussions between data visualization researchers and data journalists, it offers an integrated definition of the topic, presents vivid examples and patterns for data storytelling, and calls out key challenges and new opportunities for researchers and practitioners.
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| Imprint Name: | CRC Press |
| Publisher Name: | Taylor & Francis Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2018-03-29 |
