Design and Implementation of Financial Big Data Visualization Analysis Platform

Xi Chen, Bo Fan, Jie Zheng, H. Cui
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Abstract

At present, it has become a hot research field to improve production efficiency and improve life experience through big data analysis. In the process of big data analysis, how to vividly display the results of the analysis is crucial. So, this paper introduces a set of big data visualization analysis platform based on financial field. The platform adopts the MVC system architecture, which is mainly composed of two parts: the background and the front end. The background part is built on the Django framework, and the front end is built with html5, css3, and JavaScript. The chart is rendered by Echarts. The platform can realize the classification of customers' savings potential through bank data, and make portraits of customers with different savings levels. The data analysis results can be dynamically displayed and interact wit
金融大数据可视化分析平台的设计与实现
目前,通过大数据分析提高生产效率、改善生活体验已成为研究热点。在大数据分析的过程中,如何生动地展示分析结果是至关重要的。为此,本文介绍了一套基于金融领域的大数据可视化分析平台。平台采用MVC系统架构,主要由后台和前端两部分组成。后台部分建立在Django框架上,前端是用html5, css3和JavaScript构建的。图表由Echarts绘制。该平台可以通过银行数据实现对客户储蓄潜力的分类,并对不同储蓄水平的客户进行画像。数据分析结果可以动态显示和交互
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