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Clarifying Hypotheses by Sketching Data
(The Eurographics Association, 2016)
Discussions between data analysts and colleagues or clients with no statistical background are difficult, as the analyst often has to teach and explain their statistical and domain knowledge. We investigate work practices ...
What Auto Completion Tells Us About Sketch Recognition
(The Eurographics Association, 2016)
Auto completion is generally considered to be a difficult problem in sketch recognition as it requires a decision to be made with fewer strokes. Therefore, it is generally assumed that the classification of fully completed ...
Styrian Diversity Visualisation: Visualising Statistical Open Data with a LeanWeb App and Data Server
(The Eurographics Association, 2016)
Statistical open data is usually provided only in the form of spreadsheets or CSV files. The developers of open data apps must either restrict themselves to managable bite-sized chunks of data, which can be consumed (read, ...
Visual-Interactive Exploration of Relations Between Time-Oriented Data and Multivariate Data
(The Eurographics Association, 2016)
The analysis of large, multivariate data sets is challenging, especially when some of these data objects are timeoriented. Exploring relationships between multivariate and temporal information, e.g., to identify patterns ...