基于组件化的数据可视化系统设计与实现
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摘要
数据的可视化有利于快速挖掘数据背后的规律和价值,提高决策效率。但现有的数据可视化系统需要针对特定场景进行单独开发,效率低下、维护成本高。本文提出了基于组件化的数据可视化系统,通过封装Echarts图表库,为用户提供各类图表组件,快速构建数据可视化,并支持接入多种数据库、本地csv上传和动态请求。该系统以图形化界面完成编辑和配置,简化了开发过程,提高了开发效率。
The visualization of data helps to quickly mine the rules and values behind the data,and improve the efficiency of decision-making. However, existing data visualization systems need to be developed separately for specific scenarios, it's inefficient and has high maintenance costs. This paper proposed a component-based data visualization system,which provided various types of icon components for users by encapsulating the Echarts icon library, could quickly constructdata visualization, and support access to multiple databases, local csv uploads and dynamic requests, and complete with a graphical interface.And the system is edited and configured in a graphical interface, which simplifies the development process and improves development efficiency.
The visualization of data helps to quickly mine the rules and values behind the data,and improve the efficiency of decision-making. However, existing data visualization systems need to be developed separately for specific scenarios, it's inefficient and has high maintenance costs. This paper proposed a component-based data visualization system,which provided various types of icon components for users by encapsulating the Echarts icon library, could quickly constructdata visualization, and support access to multiple databases, local csv uploads and dynamic requests, and complete with a graphical interface.And the system is edited and configured in a graphical interface, which simplifies the development process and improves development efficiency.
引文
[1]程学旗,靳小龙,王元卓,等.大数据系统和分析技术综述[J].软件学报,2014(9):1889-1908.
[2]王珊,王会举,覃雄派,等.架构大数据:挑战、现状与展望[J].计算机学报,2011,34(10):1741-1752.
[3]刘勘,周晓峥,周洞汝.数据可视化的研究与发展[J].计算机工程,2002,28(8):1-2.
[4]任永功,于戈.数据可视化技术的研究与进展[J].计算机科学,2004,31(12):92-96.
[5]麦冬,陈涛,梁宗湾.轻量级响应式框架Vue.js应用分析[J].信息与电脑(理论版),2017(7):58-59.
[6]黄佛辉.基于Vue.js的WebGIS开发研究[D].重庆:重庆交通大学,2017.
[7]徐方萍.基于图表库ECharts的数据可视化组件技术研究与实现[D].南京:南京师范大学,2016.
[8]王光磊.MongoDB数据库的应用研究和方案优化[J].中国科技信息,2011(20):93-94.
[9]黄佛辉.基于Vue.js的WebGIS开发研究[D].重庆:重庆交通大学,2017.
[10]Vue.js官网.Vue.js介绍[EB/OL]https://vuex.vuejs.org/
[11]许文鹏.数据可视化系统架构的设计与实现[D].北京:北京交通大学,2015.
[2]王珊,王会举,覃雄派,等.架构大数据:挑战、现状与展望[J].计算机学报,2011,34(10):1741-1752.
[3]刘勘,周晓峥,周洞汝.数据可视化的研究与发展[J].计算机工程,2002,28(8):1-2.
[4]任永功,于戈.数据可视化技术的研究与进展[J].计算机科学,2004,31(12):92-96.
[5]麦冬,陈涛,梁宗湾.轻量级响应式框架Vue.js应用分析[J].信息与电脑(理论版),2017(7):58-59.
[6]黄佛辉.基于Vue.js的WebGIS开发研究[D].重庆:重庆交通大学,2017.
[7]徐方萍.基于图表库ECharts的数据可视化组件技术研究与实现[D].南京:南京师范大学,2016.
[8]王光磊.MongoDB数据库的应用研究和方案优化[J].中国科技信息,2011(20):93-94.
[9]黄佛辉.基于Vue.js的WebGIS开发研究[D].重庆:重庆交通大学,2017.
[10]Vue.js官网.Vue.js介绍[EB/OL]https://vuex.vuejs.org/
[11]许文鹏.数据可视化系统架构的设计与实现[D].北京:北京交通大学,2015.