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Analysis of School Students Distribution on China Province Level

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• Volume 5,Issue 5, Sept. 2018

Year:

2018

Type of Publication:

Article

Keywords:

China Education Type, Areal Student Amount and Hierarchical Clustering

Authors:

• Tang, Hengliang
• Li, Jie
• Dong, Chengang

Journal:

IJIRES

Volume:

5

Number:

5

Pages:

562-567

Month:

September

ISSN:

2349-5219

BibTex:

@article{1394, author = "Hengliang Tang and Jie Li and Chengang Dong", abstract = "This paper is to describe the school student amounts of Preschool, Primary School, Junior School, Senior School, and Higher Education in all the China province areas, and the data are obtained from China National Bureau of Statistics. Through the descriptive study, it is shown that low-developed provinces often have higher students rate in preschool, primary school, and middle school, while rich areas have more student rate in higher education. Hierarchical Clustering method is then used to segment province regions by their various school student amounts, and 5 clusters are found", issn = "23495219", journal = "IJIRES", keywords = "China Education Type, Areal Student Amount and Hierarchical Clustering", month = "September", note = "This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. CC BY-NC-SA 4.0 Creative Commons License: https://creativecommons.org/licenses/by-nc-sa/4.0/", number = "5", pages = "562-567", title = "{A}nalysis of {S}chool {S}tudents {D}istribution on {C}hina {P}rovince {L}evel", volume = "5", year = "2018", }

Note:

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. CC BY-NC-SA 4.0 Creative Commons License: https://creativecommons.org/licenses/by-nc-sa/4.0/

Abstract:

This paper is to describe the school student amounts of Preschool, Primary School, Junior School, Senior School, and Higher Education in all the China province areas, and the data are obtained from China National Bureau of Statistics. Through the descriptive study, it is shown that low-developed provinces often have higher students rate in preschool, primary school, and middle school, while rich areas have more student rate in higher education. Hierarchical Clustering method is then used to segment province regions by their various school student amounts, and 5 clusters are found

Full text: IJIRES_1394_FINAL.pdf Online version [Bibtex]