A Visualization Tool for Learning Statistical Analysis in Multi Tabular Datasets

Vaishnavi, Kamasan; Kannan, Ashwin; Cline, David; Etemadpour, Ronak

doi:10.1109/icalt.2016.13

Cited by 3 publications

(1 citation statement)

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“…Although there is a wide range of statistical tools to draw inferences, the esoteric nature of the statistical analysis of networks limits the communication of the findings to researchers familiar with these research methods (Tobi & Kampen, 2018). Statistical analyses may not always capture the nuanced patterns and correlations within complex datasets, a limitation that visual inspection can overcome (Vaishnavi et al, 2016). The Plebeian Graph Library (PGL) is a library that solves for the visualisation of large networks and their diagnostic study.…”

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confidence: 99%

The plebeian Graph Library: A WebGL based network visualisation and diagnostics package

Haldar

2024

JOSS

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Given a large network (greater than one million nodes), visualising and diagnosing network data has often proven challenging (Nowogrodzki, 2015). Although there is a wide range of statistical tools to draw inferences, the esoteric nature of the statistical analysis of networks limits the communication of the findings to researchers familiar with these research methods (Tobi & Kampen, 2018). Statistical analyses may not always capture the nuanced patterns and correlations within complex datasets, a limitation that visual inspection can overcome (Vaishnavi et al., 2016). The Plebeian Graph Library (PGL) is a library that solves for the visualisation of large networks and their diagnostic study. PGL enables a deeper, more intuitive understanding of intricate processes such as network diffusion by allowing for direct, interactive exploration of data bridging the gap between raw data and actionable insights.

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confidence: 99%