Colloquy Cycle on Monday, June 11, 2018 - 10:30

Data visualization communicates the data to the user for exploring unknown datasets, for confirming an assumed hypothesis about a dataset and for presenting results of an analysis. The data can stem directly from measurements, from simulations or can be a result of data modelling.

Nowadays, there are many tools and libraries to visualize data such as Tableau, Gephi, ESRI or D3. However, “simply” plotting the data on the screen may lead to several problems when reading and interpreting the data. Examples include data overplotting, “getting lost” in the data space during exploration, cognitive overburden and conveying data uncertainty.

The lecture will explain recent techniques for dealing with these visualization challenges. The techniques will be exemplified on data from various application domains such as transportation, journalism or biology.

Biography: Tatiana Landesberger von Antburg leads the Visual Search and Analysis group at Interactive Graphics Systems Group, TU Darmstadt. She finished her PhD in 2010 at this university. Her research interests cover visual analysis of spatio-temporal and network data from various application domains such as finance, transportation, journalism or biology.

Homepage: http://www.gris.tu-darmstadt.de/research/vissearch/index.en.htm