Dealing vis Data
dc.contributor.author
Bach, Benjamin
en
dc.date.accessioned
2020-01-21T16:44:21Z
dc.date.available
2020-01-21T16:44:21Z
dc.date.issued
2020-01-15
dc.description.abstract
It's exciting times to work with data: more and more data are becoming available; more people are getting trained in analysis; better analysis methods provide us with more and better information about our world. With this came more and trickier problems which require better solutions for analysis and to supporting analysts. In this talk, I present examples and interactive interfaces of how data visualization supports analysts along a range of tasks, including data collection, exploration (http://vistorian.net), annotation, understanding machine learning (http://playground.tensorflow.org), and explaining insights findings (http://datacomics.net). These examples are giving an overview over how to apply data visualization and which problems visualization research is dealing with. The overarching question I'd like to discuss is how can we provide better access and training for the wide variety of visualization techniques, tools, and interfaces?
en
dc.identifier.uri
https://hdl.handle.net/1842/36686
dc.language.iso
en
dc.subject
Data Visualisation
en
dc.title
Dealing vis Data
en
dc.type
Presentation
en
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