“Nous partageons, au sein de Dataveyes, la conviction que l’ère des données riches et des objets connectés bouleverse les usages. Par nos réflexions et nos travaux, nous prenons part à cette révolution des interactions humains-données.”
Source : Dataveyes | Interactions humains-données
Are Shakespeare’s tragedies all structured in the same way? Are the characters rather isolated, grouped, all connected?
Source : Network visualization: mapping Shakespeare’s tragedies (Martin Grandjean).
This is the social network from all the 6 movies combined together:
Source : The Star Wars social network
Transit Visualization Client
Source : TRAVIC – Transit Visualization Client
This song was generated using refugee data from the United Nations from 1975 to 2012. The quantity, length, and pitch of the songs instruments are controlled by the volume of refugee movement and distance traveled between their countries of origin and asylum.
Source : Data-Driven DJ | Distance From Home
The goal of this song is to emulate a ride on the New York City Subway’s 2 Train through three boroughs: Brooklyn, Manhattan, and the Bronx. At any given time, the quantity and dynamics of the song’s instruments correspond to the median household income of that area.
Source : Data-Driven DJ | Two Trains
I wondered what 152 edits — from stub page to fleshed out — looked like, so I created this animation of the Emanuel African Methodist Episcopal Church Wikipedia page as it was created
Source : Changes to “Emanuel African Methodist Episcopal Church” Wikipedia Page, Visualized | Disruptive Library Technology Jester