Open Journal Systems

Design and Implementation of Financial Big Data Visualization Analysis Platform

Xi Chen, Bo Fan, Jie Zheng, Hongyan Cui

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


Keywords

Financial big data, Visualization, Classification, Machine learning

Full Text:

PDF

References

Fan J, Han F, Liu H. Challenges of big data analysis. National Science Review 2014; 1(2): 293-314.

Natal IDP, Garcia ACB. Activity recognition model based on gps data, points of interest and user profile//International symposium on methodologies for intelligent systems. Springer, Cham 2017; 358-367.

Zhang K. Implementation scheme of mobile phone user portrait on big data platform. Information Communication 2014; (2).

Ladd S, Davison D, Devijver S, et al. Expert spring MVC and web flow. Berkeley, CA: Apress; 2006.

Liu J, Dai J. Research of lightweight web application based on spring MVC and iBATIS frameworks. Journal of Computer Applications 2006; 4: 26.

Lubbers P, Albers B, Salim F, et al. Pro HTML5 programming. New York, NY, USA: Apress; 2011.

Frain B. Responsive web design with HTML5 and CSS3. Packt Publishing Ltd; 2012.

McFarland DS. CSS3: The missing manual. "O'Reilly Media, Inc."; 2012.

Bray T. The javascript object notation (json) data interchange format. 2017.

Forcier J, Bissex P, Chun WJ. Python web development with Django. Addison-Wesley Professional, 2008.

Chaffer J, Swedberg K. Learning jQuery[M]. Packt Publishing Ltd, 2011.

Nixon R. Learning PHP, MySQL & JavaScript: With jQuery, CSS & HTML5. "O'Reilly Media, Inc.", 2014.

Sagiroglu S, Sinanc D. Big data: A review//2013 International Conference on Collaboration Technologies and Systems (CTS). IEEE, 2013: 42-47.


DOI: http://dx.doi.org/10.18063/bdci.v3i1.1168
(13 Abstract Views, 9 PDF Downloads)

Refbacks

  • There are currently no refbacks.


Copyright (c) 2020 Xi Chen

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.