Python Data Analytics of Influence on Temperature and Humidity of City from Mountains: Case Study of Chengdu Qingcheng Mountains

Yanglu; Asif Khan; Hemin; Amit Yadav

doi:10.1109/CENTCON52345.2021.9688189

Python Data Analytics of Influence on Temperature and Humidity of City from Mountains: Case Study of Chengdu Qingcheng Mountains

Yanglu, Asif Khan, Hemin, Amit Yadav

CDU College of Engineering, IT and Environment

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

Abstract

The purpose of data analysis is to transform original data into information, and then into knowledge. Here, the mountains where Qingcheng Mountain is located as the research case, and the Chengdu area as the research scope, using Python data analysis tools, following the steps of data acquisition, data preprocessing, data analysis and visualization, the influence of mountains on regional temperature and humidity is briefly discussed, demonstrating the general process and methods of Python data analysis.

Original language	English
Title of host publication	Proceedings of IEEE International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications, CENTCON 2021
Place of Publication	Piscataway, New Jersey
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	323-328
Number of pages	6
ISBN (Electronic)	9781665400176
DOIs	https://doi.org/10.1109/CENTCON52345.2021.9688189
Publication status	Published - 2021
Event	2021 IEEE International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications, CENTCON 2021 - Bengaluru, India Duration: 19 Nov 2021 → 21 Nov 2021

Publication series

Name	Proceedings of IEEE International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications, CENTCON 2021

Conference

Conference	2021 IEEE International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications, CENTCON 2021
Country/Territory	India
City	Bengaluru
Period	19/11/21 → 21/11/21

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10.1109/CENTCON52345.2021.9688189

Cite this

Yanglu, Khan, A., Hemin, & Yadav, A. (2021). Python Data Analytics of Influence on Temperature and Humidity of City from Mountains: Case Study of Chengdu Qingcheng Mountains. In Proceedings of IEEE International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications, CENTCON 2021 (pp. 323-328). (Proceedings of IEEE International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications, CENTCON 2021). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CENTCON52345.2021.9688189

Yanglu ; Khan, Asif ; Hemin et al. / Python Data Analytics of Influence on Temperature and Humidity of City from Mountains : Case Study of Chengdu Qingcheng Mountains. Proceedings of IEEE International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications, CENTCON 2021. Piscataway, New Jersey : IEEE, Institute of Electrical and Electronics Engineers, 2021. pp. 323-328 (Proceedings of IEEE International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications, CENTCON 2021).

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title = "Python Data Analytics of Influence on Temperature and Humidity of City from Mountains: Case Study of Chengdu Qingcheng Mountains",

abstract = "The purpose of data analysis is to transform original data into information, and then into knowledge. Here, the mountains where Qingcheng Mountain is located as the research case, and the Chengdu area as the research scope, using Python data analysis tools, following the steps of data acquisition, data preprocessing, data analysis and visualization, the influence of mountains on regional temperature and humidity is briefly discussed, demonstrating the general process and methods of Python data analysis. ",

keywords = "Data Analysis, Data Visualization, Python, Temperature",

author = "Yanglu and Asif Khan and Hemin and Amit Yadav",

year = "2021",

doi = "10.1109/CENTCON52345.2021.9688189",

language = "English",

series = "Proceedings of IEEE International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications, CENTCON 2021",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

pages = "323--328",

booktitle = "Proceedings of IEEE International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications, CENTCON 2021",

address = "United States",

note = "2021 IEEE International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications, CENTCON 2021 ; Conference date: 19-11-2021 Through 21-11-2021",

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Yanglu, Khan, A, Hemin & Yadav, A 2021, Python Data Analytics of Influence on Temperature and Humidity of City from Mountains: Case Study of Chengdu Qingcheng Mountains. in Proceedings of IEEE International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications, CENTCON 2021. Proceedings of IEEE International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications, CENTCON 2021, IEEE, Institute of Electrical and Electronics Engineers, Piscataway, New Jersey, pp. 323-328, 2021 IEEE International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications, CENTCON 2021, Bengaluru, India, 19/11/21. https://doi.org/10.1109/CENTCON52345.2021.9688189

Python Data Analytics of Influence on Temperature and Humidity of City from Mountains : Case Study of Chengdu Qingcheng Mountains. / Yanglu; Khan, Asif; Hemin et al.

Proceedings of IEEE International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications, CENTCON 2021. Piscataway, New Jersey : IEEE, Institute of Electrical and Electronics Engineers, 2021. p. 323-328 (Proceedings of IEEE International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications, CENTCON 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

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AB - The purpose of data analysis is to transform original data into information, and then into knowledge. Here, the mountains where Qingcheng Mountain is located as the research case, and the Chengdu area as the research scope, using Python data analysis tools, following the steps of data acquisition, data preprocessing, data analysis and visualization, the influence of mountains on regional temperature and humidity is briefly discussed, demonstrating the general process and methods of Python data analysis.

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Yanglu, Khan A, Hemin, Yadav A. Python Data Analytics of Influence on Temperature and Humidity of City from Mountains: Case Study of Chengdu Qingcheng Mountains. In Proceedings of IEEE International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications, CENTCON 2021. Piscataway, New Jersey: IEEE, Institute of Electrical and Electronics Engineers. 2021. p. 323-328. (Proceedings of IEEE International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications, CENTCON 2021). https://doi.org/10.1109/CENTCON52345.2021.9688189

Python Data Analytics of Influence on Temperature and Humidity of City from Mountains: Case Study of Chengdu Qingcheng Mountains

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