Название: Critical Visualization: Rethinking the Representation of Data
Автор: Peter A. Hall, Patricio Davila
Издательство: Bloomsbury Publishing
Год: 2023
Страниц: 258
Язык: английский
Формат: pdf (true)
Размер: 72.9 MB
This book is written for those whose interest, business or practice is the visualization of data, as well as for those who study data and its impact in fields such as human-computer interaction, science and technology studies, critical data studies and digital humanities. As authors, researchers, designers and educators in communication design and media practice, we are interested in how data and its collection, manipulation and presentation both empowers and disempowers the people and the interests that are represented (or misrepresented) by the data. Our premise is that data visualization has flourished in terms of technique and creativity, but that this has come at the cost of critique. As we shall discuss, the idea of what it means to be critical has itself been critiqued, but we remain convinced that a robust field of data visualization warrants a robust critical discourse.
Автор: Peter A. Hall, Patricio Davila
Издательство: Bloomsbury Publishing
Год: 2023
Страниц: 258
Язык: английский
Формат: pdf (true)
Размер: 72.9 MB
This book is written for those whose interest, business or practice is the visualization of data, as well as for those who study data and its impact in fields such as human-computer interaction, science and technology studies, critical data studies and digital humanities. As authors, researchers, designers and educators in communication design and media practice, we are interested in how data and its collection, manipulation and presentation both empowers and disempowers the people and the interests that are represented (or misrepresented) by the data. Our premise is that data visualization has flourished in terms of technique and creativity, but that this has come at the cost of critique. As we shall discuss, the idea of what it means to be critical has itself been critiqued, but we remain convinced that a robust field of data visualization warrants a robust critical discourse.