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Making data visualization more efficient and effective: a survey
The VLDB Journal ( IF 2.8 ) Pub Date : 2019-11-19 , DOI: 10.1007/s00778-019-00588-3
Xuedi Qin , Yuyu Luo , Nan Tang , Guoliang Li

Data visualization is crucial in today’s data-driven business world, which has been widely used for helping decision making that is closely related to major revenues of many industrial companies. However, due to the high demand of data processing w.r.t. the volume, velocity, and veracity of data, there is an emerging need for database experts to help for efficient and effective data visualization. In response to this demand, this article surveys techniques that make data visualization more efficient and effective. (1) Visualization specifications define how the users can specify their requirements for generating visualizations. (2) Efficient approaches for data visualization process the data and a given visualization specification, which then produce visualizations with the primary target to be efficient and scalable at an interactive speed. (3) Data visualization recommendation is to auto-complete an incomplete specification, or to discover more interesting visualizations based on a reference visualization.

中文翻译:

使数据可视化更加高效和有效:一项调查

数据可视化在当今数据驱动的商业世界中至关重要,该世界已广泛用于帮助与许多工业公司的主要收入密切相关的决策。但是,由于对数据的处理量,速度和准确性的数据处理需求很高,因此迫切需要数据库专家来帮助进行高效且有效的数据可视化。为响应此需求,本文将对使数据可视化更加有效的技术进行调查。(1)可视化规范定义了用户如何指定其生成可视化的要求。(2)高效的数据可视化方法处理数据和给定的可视化规范,然后以主要目标产生可视化,从而以交互速度高效且可扩展。(3)数据可视化建议是自动完成不完整的规范,或者基于参考可视化发现更多有趣的可视化。
更新日期:2019-11-19
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