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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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
Online AccessGet full text

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Abstract 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.
AbstractList 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.
Author Dong, Xiaoqing
Zhou, Jiehui
Wang, Arran Zeyu
Lin, Zhifeng
Lai, Xingui
Li, Xi
Peng, Di
Li, Chenlu
Gu, Yuhui
Chen, Wei
Zhang, Haifeng
Wang, Jiazhe
Liu, Xingyu
Xu, Xinyue
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Snippet With the incredible growth of the scale and complexity of datasets, creating proper visualizations for users becomes more and more challenging in large...
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SubjectTerms Automated visual analytics
Insight mining
Visualization recommendation
Title AVA: An automated and AI-driven intelligent visual analytics framework
URI https://dx.doi.org/10.1016/j.visinf.2024.06.002
https://doaj.org/article/ad187bea3d1340c5b0dbb34ca8e38d98
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