Title: General process of big data analysis and visualisation

Authors: Guang Sun; Hong Zhang Lv; Wang Dong Jiang; Feng Hua Li

Addresses: Institute of Big Data, School of Information Management and Technology, Hunan University of Finance and Economics, Changsha, Hunan, 410205, China ' Institute of Big Data, School of Information Management and Technology, Hunan University of Finance and Economics, Changsha, Hunan, 410205, China ' Institute of Big Data, School of Information Management and Technology, Hunan University of Finance and Economics, Changsha, Hunan, 410205, China ' Institute of Big Data, School of Information Management and Technology, Hunan University of Finance and Economics, Changsha, Hunan, 410205, China

Abstract: There are innumerable data generated on the internet every day, which is hardly effectively analysed by traditional means because of its capacities and complexities. This data is not only huge but also has complex relationships between different kinds of datasets. In addition, if people want to know more information of the changes of data during the certain periods of time that means time factor will be taken into consideration, which leads to the problem of analysing dynamic data. This kind of data is called big data. Under the circumstances of big data era, a new process of dealing with this data should be conceived. This process contains five steps. Those are collecting data, cleaning data, storing data, analysing data and further analysis of data. The aim of the paper is to illustrate every step. The fourth and fifth steps will be introduced in detail.

Keywords: big data; visualisation; analysis; process; graph.

DOI: 10.1504/IJCSE.2020.110543

International Journal of Computational Science and Engineering, 2020 Vol.23 No.2, pp.177 - 184

Received: 27 Dec 2019
Accepted: 24 Mar 2020
Published online: 23 Oct 2020 *

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