Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Changsha, China

Research Article

Design and Implementation of Visualization Application Platform of Enterprise Operation Data Based on R Language

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  • @INPROCEEDINGS{10.4108/eai.6-1-2023.2330365,
        author={He  Zhang},
        title={Design and Implementation of Visualization Application Platform of Enterprise Operation Data Based on R Language},
        proceedings={Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Changsha, China},
        publisher={EAI},
        proceedings_a={BDEDM},
        year={2023},
        month={6},
        keywords={r language javaweb data visualization big data enterprise operation},
        doi={10.4108/eai.6-1-2023.2330365}
    }
    
  • He Zhang
    Year: 2023
    Design and Implementation of Visualization Application Platform of Enterprise Operation Data Based on R Language
    BDEDM
    EAI
    DOI: 10.4108/eai.6-1-2023.2330365
He Zhang1,*
  • 1: Guangdong Industry Polytechnic
*Contact email: 85649133@qq.com

Abstract

This paper studies the design and implementation process of enterprise operation data visualization application platform based on language. In this system, ggplot2 in R language tool is used as the graphic system for making and displaying statistical charts, and javaweb technology is used to develop application programs. R language and Java middleware choose Rserve 1.8.5. Enterprise operation data storage uses big data technology to build hadoop cluster to collect, clean, calculate and save data. In the data classification function module of the system, Bayesian algorithm is used to realize the scientific classification of data. The design of the application system can help the enterprise operators to automatically generate visual reports by selecting the data, which is convenient for users to consult the reference operation data and optimize the operation decisions in time, thus effectively improving the operation quality of the enterprise.