Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)

<Previous Article In Volume
Next Article In Volume>

Data Modelling and Visualisation of UK Government Open Data Based on the State of Business in the Post-COVID-19 Era

Authors
Yue Li1, *
1School of Electronics and Computer Science, University of Southampton, University Road, Southampton, UK
*Corresponding author. Email: yl5a21@soton.ac.uk
Corresponding Author
Yue Li
Available Online 12 December 2022.
DOI
10.2991/978-94-6463-024-4_104How to use a DOI?
Keywords
The UK Government’s Open Data; Data Cleaning; Data Modelling; Data Visualisation
Abstract

The emergence of the big data age and the movement toward open data have been driven by the Internet’s quick development. UK is the country with the highest degree of government data openness in the world. With the development of open data, the UK government’s open data has been in a leading position in terms of execution, influence and perfection. The sheer volume of data, both national and corporate, is undoubtedly a challenge. Therefore, in order to improve the value of data, it is necessary to ensure the authenticity, accuracy and good management of data, which has become a problem to be solved. The original data used in this paper is about the impact of COVID-19 on businesses, obtained from the UK government website. This paper deals with and analyses data from three aspects: data cleaning, data modelling and data visualisation.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
12 December 2022
ISBN
978-94-6463-024-4
ISSN
2589-4900
DOI
10.2991/978-94-6463-024-4_104How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yue Li
PY  - 2022
DA  - 2022/12/12
TI  - Data Modelling and Visualisation of UK Government Open Data Based on the State of Business in the Post-COVID-19 Era
BT  - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)
PB  - Atlantis Press
SP  - 998
EP  - 1016
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-024-4_104
DO  - 10.2991/978-94-6463-024-4_104
ID  - Li2022
ER  -