Theoretical and Natural Science

- The Open Access Proceedings Series for Conferences

Theoretical and Natural Science

Vol. 5, 25 May 2023

Open Access | Article

A Statistical Analysis of Depression

Xuancheng Dong 1 , Chenjia Ren 2 , Yixuan Sun * 3
1 Shanghai United international Jiaoke School, Shanghai, China
2 Chongqing Foreign Language School, Chongqing, China
3 Tianjin University of Finance and Economics, Tianjin, China

* Author to whom correspondence should be addressed.

Theoretical and Natural Science, Vol. 5, 226-233
Published 25 May 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Xuancheng Dong, Chenjia Ren, Yixuan Sun. A Statistical Analysis of Depression. TNS (2023) Vol. 5: 226-233. DOI: 10.54254/2753-8818/5/20230416.


This project studies and analyzes depression through statistical principles, reveals the influence and behavior of depression, so as to improve people's attention to depression. This study was completed from: looking for basic information data sets of depression, reading data sets, making charts, analyzing data and data prediction. The results showed that the affected population was concentrated between young people and middle-aged people, and the influencing factors of the disease included marriage, gender, employment and so on. For this disease, research is still in the development stage and there are still many questions to be addressed, so it is very important to study this disease.


Statistical table, Average value, Correlation analysis, Depression.


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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 2nd International Conference on Computing Innovation and Applied Physics (CONF-CIAP 2023)
ISBN (Print)
ISBN (Online)
Published Date
25 May 2023
Theoretical and Natural Science
ISSN (Print)
ISSN (Online)
25 May 2023
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated