History of Data Visualization and Graphic Communication

Statistical graphing was born in the seventeenth century as a scientific tool, but it quickly escaped all disciplinary bounds. Today graphics are ubiquitous in daily life. Michael Friendly and Howard Wainer detail the history of data visualization and argue that it has not only helped us solve problems, but it has also changed the way we think.

Info autore

Michael Friendly is Professor of Psychology, founding chair of the Quantitative Methods area, and coordinator of the Statistical Consulting Service at York University. He is a fellow of the American Statistical Association.Howard Wainer has been a columnist for the statistical magazine Chance since 1990. A fellow of the American Statistical Association and the American Educational Research Association, he has been honored with the Psychometric Society’s Lifetime Achievement Award and the 2021 ASA Statistical Computing and Graphics Award.

Riassunto

Statistical graphing was born in the seventeenth century as a scientific tool, but it quickly escaped all disciplinary bounds. Today graphics are ubiquitous in daily life. Michael Friendly and Howard Wainer detail the history of data visualization and argue that it has not only helped us solve problems, but it has also changed the way we think.

Dettagli sul prodotto

• Autori: Michael Friendly, Michael Wainer Friendly, Friendly Michael, Howard Wainer, Wainer Howard
• Editore: Harvard University Press
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 30.06.2021
• EAN: 9780674975231
• ISBN: 978-0-674-97523-1
• Pagine: 320
• Dimensioni: 162 mm x 241 mm x 30 mm
• Categorie: Scienze naturali, medicina, informatica, tecnica > Scienze naturali, tematiche generali; popular science, SCIENCE / History, PSYCHOLOGY / General, Psychology, COMPUTERS / Programming / Algorithms, HOUSE & HOME / General, Digital lifestyle, History of Science, algorithms and data structures, Algorithms & data structures, Digital Lifestyle and online world: consumer and user guides, COMPUTERS / Data Science / Data Visualization, COMPUTERS / Database Administration & Management, Data capture and analysis, Data Capture & Analysis