Study on the Application of Data Visualization in Public Administration
- https://doi.org/10.2991/sschd-17.2017.4How to use a DOI?
- Big Data, Bata Visualization, Public Administration, Government Administration.
Now, human society has entered a new historical stage - the era of big data. Big data makes people's way of thinking, behavior patterns, management ideas fully innovated, which contains great potential for application and innovation in the field of public management. As the dominate data occupant, the government holds the data of all aspects of society. However, "how to analyze the massive data to predict the public service demand?" and" how to use the data visualization technology to show the social phenomenon, to optimize the social management process?" become the problems the government administrations need to solve. Data visualization is aesthetically presented by data acquisition, analysis, filtering, mining, representation, modification, and interaction. This paper puts forward the idea of innovating public management and service in the way of data visualization, discusses the value and presentation method of this method in public management and service, and discusses the possibility of using this method through concrete case analysis in order to improve the transparency and patriotism of government management by the use of data visualization technology, so as to promote the sustainable development of China's public management.
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Qian-Hui Jia AU - Chen Li AU - De Long Gao PY - 2017/09 DA - 2017/09 TI - Study on the Application of Data Visualization in Public Administration BT - Proceedings of the 3rd Annual International Conference on Social Science and Contemporary Humanity Development PB - Atlantis Press SP - 21 EP - 26 SN - 2352-5398 UR - https://doi.org/10.2991/sschd-17.2017.4 DO - https://doi.org/10.2991/sschd-17.2017.4 ID - Jia2017/09 ER -