Search ALOE
Export resources
Add search profile

{"m_searchStringConjunction":"OR","m_searchStrings":[{"m_specialStringHandlingType":"NONE","m_weight":1.0,"m_baseNameOfSearchField":"aloe_tagValue","m_searchString":"visualization"}]}
Perform faceted search
Search Results
-
Verkehrsaufkommen und Luftqualität in Frankfurt
Views: 124 Average Rating:
Verkehrsaufkommen und Luftqualität in Frankfurt Was ist los auf den Straßen – muss ich mehr Fahrtzeit einplanen? Herrscht Gedränge auf der Einkaufsstraße Zeil? Wieviel Feinstaub ist gerade in der Luft? Antworten auf diese Fragen geben vier Grafiken der Rhein-Main-Zeitung, die ständig aktualisiert werden. -
We had an AI attempt to make a data-driven story like we do at The Pudding
Views: 139 Average Rating:
We had an AI attempt to make a data-driven story like we do at The Pudding -
LSDvis: Hallucinatory Data Visualisations in Real World Environments
Views: 109 Average Rating:
LSDvis: Hallucinatory Data Visualisations in Real World Environments VISVAR Research Group, University of Stuttgart -
ShowYourStripes -
How to get started with data visualization - Datawrapper Blog
Views: 196 Average Rating:
How to get started with data visualization - Datawrapper Blog A subjective and practical guide on what to do if you want to create data visualizations yourself. -
1 dataset. 100 visualizations. -
What to consider when using text in data visualizations
Views: 268 Average Rating:
What to consider when using text in data visualizations How to make your data visualizations easier to read (and more interesting to look at!) with the right use of text. -
Accessible visualization with Olli JavaScript library | FlowingData
Views: 264 Average Rating:
Accessible visualization with Olli JavaScript library | FlowingData -
Fooled by beautiful data: Visualization aesthetics bias trust in science, news, and social media
Views: 291 Average Rating:
Fooled by beautiful data: Visualization aesthetics bias trust in science, news, and social media Scientists, policymakers, and the public increasingly rely on data visualizations – such as COVID tracking charts, weather forecast maps, and political polling graphs – to inform important decisions. The aesthetic decisions of graph-makers may produce graphs of varying visual appeal, independent of data quality. Here we tested whether the beauty of a graph influences how much people trust it. Across three studies, we sampled graphs from social media, news reports, and scientific publications, and consistently found that graph beauty predicted trust. In a fourth study, we manipulated both the graph beauty and misleadingness. We found that beauty, but not actual misleadingness, causally affected trust. These findings reveal a source of bias in the interpretation of quantitative data and indicate the importance of promoting data literacy in education. Lin, Chujun, and Mark A. Thornton Attribution License (CC BY) -
Covic Visualizer COVIC Is a broad multi-lingual, multi-cultural view of visualizations created during the global COVID-19 pandemic.