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面向统计应用的数据可视化系统设计
引用本文:孙斐婷,朱朋飞,尹珊,张丽. 面向统计应用的数据可视化系统设计[J]. 测绘与空间地理信息, 2017, 40(Z1)
作者姓名:孙斐婷  朱朋飞  尹珊  张丽
作者单位:1. 北京邮电大学 信息光子学与光通信研究院,北京,100876;2. 北京超图软件股份有限公司,北京,100015
摘    要:当今社会正处于一个信息爆炸的时代,随着企业信息化技术的发展,除了政府机构、媒体(传统媒体)、企业等提供越来越多的数据以外,新兴的社会化媒体、物联网技术等的应用普遍化、介入人类生活的深入化也是数据量急剧增长的主要原因.这些数据大多以表格的形式存放在数据库内,既枯燥又难于理解.如何才能将这些数据有效地展示出来,帮助用户理解数据,发现潜在的规律,是亟待解决的问题.数据可视化能够将抽象的数据表示成为可见的图形或图像,显示数据之间的关联、比较、走势关系,有效揭示出数据的变化趋势,从而为理解那些大量复杂的抽象数据信息,为企业决策支持提供帮助.本文把大数据时代作为背景,把统计数据作为一个整体研究对象,将可视化技术和可视化表现作为方法手段,对各自进行分类和研究探讨,从而全面地认识数据可视化.

关 键 词:统计数据  数据可视化  BeiyouCharts

Design of Data Visualization System for Statistical Applications
SUN Fei-ting,ZHU Peng-fei,YIN Shan,ZHANG Li. Design of Data Visualization System for Statistical Applications[J]. Geomatics & Spatial Information Technology, 2017, 40(Z1)
Authors:SUN Fei-ting  ZHU Peng-fei  YIN Shan  ZHANG Li
Abstract:Today, the society is in an age of information explosion, With the development of enterprise information technology, In ad-dition to the increasing number of data provided by government agencies, media ( traditional media) , businesses, etc, the application of new social media, Internet of things technology and so on, and the deepening of human life are also the main reasons for the rapid growth of data. Most of these data are stored in tables in a tabular form, which is tedious and difficult to understand. How to effective-ly display these data, help users understand the data, and find the underlying law, is an urgent problem to be solved. Data visualiza-tion can express abstract data into visible graphics or images, and show the correlation comparison, trend relationship between data, it effectively reveals the trend of data change, and helps to understand the large amount of complicated abstract data information and pro-vide help for business decision support. This paper regard the data age as a background and the data as a whole object of study. Visu-alization technology and visualization performance are used as means and methods to be classified and studied respectively, thus we will have a comprehensive understanding of data visualization.
Keywords:statistical data  data visualization  BeiyouCharts
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