Education, Science, Technology, Innovation and Life
Open Access
Sign In

Research on Visualization Method and Application of Government Statistical Data

Download as PDF

DOI: 10.23977/jsoce.2021.030315 | Downloads: 8 | Views: 845

Author(s)

Bian Zhifeng 1

Affiliation(s)

1 Xi 'An University of Finance and Economics, Xi 'An 710100, China

Corresponding Author

Bian Zhifeng

ABSTRACT

The convergence of information technology and economy and society has led to the rapid growth of government statistics. From the perspective of government statistics, this paper discusses the significance of visualization of government statistics, and introduces the related technologies, visualization methods and main tools of visualization of government statistics. An empirical study is made with practical cases, and it is pointed out that the visualization technology of modern government statistical data can discover and reveal the deep meaning of data, and mine the hidden relationship between data, which is of great significance to improve the government statistical service function.

KEYWORDS

Government statistics, Data, Visualization

CITE THIS PAPER

Bian Zhifeng. Research on Visualization Method and Application of Government Statistical Data. Journal of Sociology and Ethnology (2021) 3: 65-70. DOI: http://dx.doi.org/10.23977/jsoce.2021.030315.

REFERENCES

[1] Python crawler ultra-simple practical tutorial (I) | Crawling the data of National Bureau of Statistics [EB/OL]. https://www.cnblogs.com/ifever/p/14275040.html.
[2] Web crawler and data visualization analysis based on Python [EB/OL]. https://blog.csdn.net/weixin _ 43917062/article/details/107590191.
[3] Xia Dehong. Research on the Design and Implementation of JAVA Data Visualization [J]. Electronic World, 2021,(06): 178-179.
[4] Hu Qianfang, Lian Pengwei, Chen Qiankun. Application of Python in Statistical Data Processing [J]. Market Research, 2019(08):33-35.
[5] Lu Xuan. A preliminary study on the construction of government data visualization public service platform [J]. Electronic World, 2018,(18): 79-80.
[6] Guo Wei. Research on Visualization of Statistical Data under Big Data Background [J]. Inner Mongolia Statistics, 2017(06):23-27.

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.