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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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 ...

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 ...

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 ...

Topological Data Analysis (TDA) is an increasingly influential framework that leverages the principles of algebraic topology to extract, quantify and visualise the intrinsic structure of complex, high ...

Data visualisation and visual analytics techniques play an essential role in interpreting complex, high-dimensional information. By transforming raw data into graphical representations, these methods ...

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 ...