AutoVIS

Automatic visualization

Data visualization is invaluable for explaining the significance of data to people who are visually oriented. The central task of automatic data visualization is, given a dataset, to visualize its compelling stories by transforming the data (e.g., selecting attributes, grouping and binning values) and deciding the right type of visualization (e.g., bar or line charts).

We study how to automatically visualize data and recommend visualizations to users.

References

2020

  1. DeepEye: A Data Science System for Monitoring and Exploring COVID-19 Data
    Yuyu Luo, Nan Tang, Guoliang Li, Wenbo Li, and 2 more authors
    IEEE Data Eng. Bull., 2020

2018

  1. DeepEye: Towards Automatic Data Visualization
    Yuyu Luo, Xuedi Qin, Nan Tang, and Guoliang Li
    In 34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, April 16-19, 2018, 2018