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. © 2014 Springer International Publishing.
CITATION STYLE
Kerren, A., Purchase, H. C., & Ward, M. O. (2014). Introduction to multivariate network visualization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8380 LNCS, pp. 1–9). Springer Verlag. https://doi.org/10.1007/978-3-319-06793-3_1
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