There are some open questions within the data visualization community as to what benefits the third dimension might add to visualizing information that doesn’t have an inherent spatial component.

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The field of network visualization and graph analysis has emerged as a crucial interdisciplinary area, merging advanced computational algorithms with sophisticated visual representation techniques.

The t-SNE ("t-distributed Stochastic Neighbor Embedding") technique is a method for visualizing high-dimensional data. The basic t-SNE technique is very specific: It converts data with three or more ...

RSAC Conference announced the availability of a new open source threat intelligence visualization tool, Quantickle.

Compound graphs, a frequently encountered type of data set, have a hierarchical tree structure with parent-child relations (‘inclusion’ relations) and non-hierarchical relations between leaf nodes ...

Cartogram visualisation has undergone substantial evolution, merging geographic representation with quantitative data display. At its core, a cartogram resizes regions such that their areas are ...

Choosing the right way to visualize your data makes the difference between telling a clear, compelling story or creating cognitive overload. Here's how to pick. Data is best understood when presented ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...