Talks and Poster Presentations (with Proceedings-Entry):
A. Peterschofsky, T. Gschwandtner:
"VoD - Understanding Structure, Content, and Quality of a Dataset";
Talk: IEEE VIS Workshop on Visual Summarization and Report Generation: Beyond Scatter-Plots and Bar-Charts (VISREG 2018),
Berlin, Germany;
2018-10-22; in: "Proceedings of the IEEE VIS Workshop on Visual Summarization and Report Generation: Beyond Scatter-Plots and Bar-Charts (VISREG 2018)",
IEEE Xplore Digital Library,
(2018).
English abstract:
In the age of data science analysts need to handle new data sets on a daily basis. In a first step they need to understand structure, content, and if the dataset is fit-for-use for further processing. However, getting familiar with a dataset by simply scrolling through the data in tabular form is just not feasible for these usually very large sets of data. Thus, we have designed and evaluated a Visual Analytics prototype that provides interactive visual summaries of a dataset on three different levels: the dataset level, the data attribute level, and the data value level. Our results demonstrate the usefulness of our approach and point to further research challenges.
Keywords:
Visual Analytics, Data Summary, Data Profiling
Electronic version of the publication:
https://publik.tuwien.ac.at/files/publik_273137.pdf
Created from the Publication Database of the Vienna University of Technology.