Abstract
Information Visualization (InfoVis) research focuses on the use of techniques to help people understand and analyze data. In particular, it considers how abstract data (i.e., without correspondence to the physical world) can best be visually represented. A variety of different abstract data types are addressed in InfoVis research (e.g., numerical, ordinal, categorical [29]), all of which can be arranged in different ways: for example, in linear, tabular, or network form. Common representations of statistical data (e.g., pie charts, bar charts, or scatter plots) are all visualizations of abstract numerical data.
| Original language | English |
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| Title of host publication | Multivariate Network Visualization - Dagstuhl Seminar #13201, Revised Discussions |
| Publisher | Springer |
| Pages | 1-9 |
| Number of pages | 9 |
| ISBN (Print) | 9783319067926 |
| DOIs | |
| Publication status | Published - 2014 |
| Externally published | Yes |
| Event | Seminar on Information Visualization - Towards Multivariate Network Visualization 2013 - Saarland, Germany Duration: 12 May 2013 → 17 May 2013 Conference number: 3rd https://link.springer.com/book/10.1007/978-3-319-06793-3 (Proceedings) |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 8380 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | Seminar on Information Visualization - Towards Multivariate Network Visualization 2013 |
|---|---|
| Country/Territory | Germany |
| City | Saarland |
| Period | 12/05/13 → 17/05/13 |
| Internet address |
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