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Direct linkBertling, Joy G.; Hodge, Lynn; Ryba, Ericka – Art Education, 2023
With the emergence of COVID-19, public interest in data visualization has surged. Data visualizations also, importantly, raised questions related to the data and the social context in which it occurred. Extending beyond but remaining connected to COVID-19, this context involved the racial and social inequality and economic disparities brought to…
Descriptors: COVID-19, Pandemics, Data Analysis, Visual Aids
Engledowl, Christopher; Weiland, Travis – Journal of Statistics and Data Science Education, 2021
The novel coronavirus has forced the world to interact with data visualizations in order to make decisions at the individual level that have, sometimes, grave consequences. As a result, the lack of statistical literacy among the general public, as well as organizations that have a responsibility to share accurate, clear, and timely information…
Descriptors: Data Interpretation, COVID-19, Pandemics, Deception
