Abstract
The objective of this course is to provide students, young researchers, and practitioners without a formal education in data visualization with an introduction and overview of the field. In addition to introducing basic concepts, the course will present diverse visualizations for different kinds of data (e.g., categorical, numeric, hierarchic, network, temporal, and spatial data); and for different kinds of visualization tasks and goals (e.g., retrieve value, filter, compute derived value, find extremum, sort, determine range, characterize distribution, find anomalies, cluster, and correlate). We will also discuss the role of data stories to convey data-driven insights.
Author supplied keywords
Cite
CITATION STYLE
Barbosa, S. D. J., & Barbosa, G. D. J. (2019). Introduction to Data Visualization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11749 LNCS, pp. 527–529). Springer Verlag. https://doi.org/10.1007/978-3-030-29390-1_30
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
