Scholarly data visualisations

Fantastic overview of ‘generous interfaces’ for cultural heritage collections, with lots of infovis examples along the way

A visualisation of the length of Terms and Conditions for different social networks. It’s enough to put you off Instagram for life! HT https://twitter.com/hailmika/status/992391607302451200

Topicgraph is a ‘new research tool to help you explore scholarly books’ from JSTOR

The source data is responses to the question ‘What [probability/number] would you assign to the phrase "[phrase]"?‘ for phrases like ‘probably’ or ‘we believe’.

Hat tip https://www.kaushik.net/avinash/create-high-impact-effective-data-visualizations/

New Forms of History: Critiquing Data and Its Representations, Frederick W. Gibbs

For fans of infovis history! Also a nice reminder of colour wheels you might have made in primary school...

Some excellent examples of what happens when fashion images meet data mining at Robots Reading Vogue.

My analysis, shown below, concludes that the Android and iPhone tweets are clearly from different people, posting during different times of day and using hashtags, links, and retweets in distinct ways. What’s more, we can see that the Android tweets are angrier and more negative, while the iPhone tweets tend to be benign announcements and pictures.

Lisa Charlotte Rost: I just found this beauty at a U-Bahn station in Berlin: A subway map that shows the amount of passengers with line widths, from 1927. – at U-Bhf. Uhlandstraße

Search results in the Digital Austin Papers can be graphed by positive, neutral or negative sentiment, location and word counts.

Great post discussing some of the compromises and decisions to be made when visualising collections data on timelines, including arranging densely-packed images, dealing with fuzzy dates and date ranges and unevenly applied tags.