AVA: An automated and AI-driven intelligent visual analytics framework

With the incredible growth of the scale and complexity of datasets, creating proper visualizations for users becomes more and more challenging in large datasets. Though several visualization recommendation systems have been proposed, so far, the lack of practical engineering inputs is still a major...

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Bibliographic Details
Published inVisual informatics (Online) Vol. 8; no. 2; pp. 106 - 114
Main Authors Wang, Jiazhe, Li, Xi, Li, Chenlu, Peng, Di, Wang, Arran Zeyu, Gu, Yuhui, Lai, Xingui, Zhang, Haifeng, Xu, Xinyue, Dong, Xiaoqing, Lin, Zhifeng, Zhou, Jiehui, Liu, Xingyu, Chen, Wei
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.06.2024
Elsevier
Subjects
Automated visual analytics
Insight mining
Visualization recommendation
Visualization recommendation
Insight mining
Automated visual analytics
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Summary:With the incredible growth of the scale and complexity of datasets, creating proper visualizations for users becomes more and more challenging in large datasets. Though several visualization recommendation systems have been proposed, so far, the lack of practical engineering inputs is still a major concern regarding the usage of visualization recommendations in the industry. In this paper, we proposed AVA, an open-sourced web-based framework for Automated Visual Analytics. AVA contains both empiric-driven and insight-driven visualization recommendation methods to meet the demands of creating aesthetic visualizations and understanding expressible insights respectively. The code is available at https://github.com/antvis/AVA.
ISSN:2468-502X
2468-502X
DOI:10.1016/j.visinf.2024.06.002