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大屏数据可视化易用工具的研究与开发
引用本文:王荟奥,蔡永香,杨岸霖,游小玲,何宗宜.大屏数据可视化易用工具的研究与开发[J].计算机系统应用,2022,31(2):114-119.
作者姓名:王荟奥  蔡永香  杨岸霖  游小玲  何宗宜
作者单位:长江大学 地球科学学院, 武汉 430100
基金项目:地理信息工程国家重点实验室开放基金(SKLGIE2017-M-4-6)
摘    要:大屏数据可视化是对数据分析结果的表达,是数据赋能决策的重要环节.针对大屏数据可视化软件开发周期较长、成本较高等问题,本文基于Vue前端框架及Echarts可视化组件,研制开发了一个大屏数据可视化易用工具C317DataUI,通过对可视化组件拖拽式操作进行界面布局,使用组件的数据连接面板进行数据配置管理,并提供了部分场景模板,可以快速实现大屏数据可视化的应用表达,满足行业用户进行数据可视化表达时低成本,高效率的需求.

关 键 词:Vue  Echarts  拖拽式  组件式  数据可视化
收稿时间:2021/4/13 0:00:00
修稿时间:2021/5/11 0:00:00

Research and Development of Easy-to-use Large-screen Data Visualization Tools
WANG Hui-Ao,CAI Yong-Xiang,YANG An-Lin,YOU Xiao-Ling,HE Zong-Yi.Research and Development of Easy-to-use Large-screen Data Visualization Tools[J].Computer Systems& Applications,2022,31(2):114-119.
Authors:WANG Hui-Ao  CAI Yong-Xiang  YANG An-Lin  YOU Xiao-Ling  HE Zong-Yi
Affiliation:School of Geosciences, Yangtze University, Wuhan 430100, China
Abstract:Large-screen data visualization is an expression of data analysis results and an important part of data-enabled decision making. Given the long development cycle and high cost of large-screen data visualization software, an easy-to-use large-screen data visualization tool C317DataUI is developed on the basis of the Vue front-end framework and the Echarts visual components. The interface layout of the visual components is conducted by drag-and-drop operation, and data configuration management is carried out via the data connection panel of the components. The tool also provides some scene templates that can quickly deliver the expression of large-screen data visualization and thereby meet the needs of industrial users for data visualization with a low cost and a high efficiency.
Keywords:Vue  Echarts  drag-and-drop  component type  data visualization
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