Referencias

Cairo, Alberto. 2017. “Visualización de Datos: Una Imagen Puede Valer Más Que Mil Números, Pero No Siempre Más Que Mil Palabras.” Profesional De La Información 26 (6): 1025–28. https://doi.org/10.3145/epi.2017.nov.02.

———. 2019. How Charts Lie: Getting Smarter about Visual Information. W. W. Norton. https://books.google.es/books?id=qP2KDwAAQBAJ.

Innerarity, Daniel. 2022. La Sociedad Del Conocimiento. 1st ed. Galaxia Gutenberg.

Knaflic, Cole Nussbaumer. 2015. Storytelling with Data: A Data Visualization Guide for Business Professionals. Wiley. https://books.google.es/books?id=retRCgAAQBAJ.

Lin, Teng-Jui, and Markita P. Landry. 2024. “Quantifying Data Distortion in Bar Graphs in Biological Research.” bioRxiv. https://doi.org/10.1101/2024.09.20.609464.

Muth, Lisa Charlotte. 2018. “What to Consider When Choosing Colors for Data Visualization.” https://blog.datawrapper.de/colors/.

———. 2020. “How to Pick More Beautiful Colors for Your Data Visualizations.” https://blog.datawrapper.de/beautifulcolors/.

“Perils of Perception, Prejudice, and Conspiracy Theories.” 2023. Ipsos. https://www.ipsos.com/sites/default/files/ct/news/documents/2023-12/ipsos-perils-perception-prejudice-conspiracy-theories-december-2023.pdf.

Spiegelhalter, David. 2019. The Art of Statistics: How to Learn from Data. New York, NY: Basic Books.