Design and Implementation of Financial Big Data Visualization Analysis Platform

Authors

  • Xi Chen
  • Bo Fan
  • Jie Zheng
  • Hongyan Cui

DOI:

https://doi.org/10.18063/bdci.v3i1.1168

Keywords:

Financial big data, Visualization, Classification, Machine learning

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

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Published

2019-06-03

Issue

Vol 3, No 1 (Published)

Section

Original Research Articles

License

Authors contributing to Whioce Publishing Pte. Ltd. agree to publish their articles under the Creative Commons Attribution-Noncommercial 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit, that the work is not used for commercial purposes, and that in the event of reuse or distribution, the terms of this license are made clear.