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

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedingspeer-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 languageEnglish
Title of host publicationProceedings of IEEE International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications, CENTCON 2021
Place of PublicationPiscataway, New Jersey
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages323-328
Number of pages6
ISBN (Electronic)9781665400176
DOIs
Publication statusPublished - 2021
Event2021 IEEE International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications, CENTCON 2021 - Bengaluru, India
Duration: 19 Nov 202121 Nov 2021

Publication series

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

Conference

Conference2021 IEEE International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications, CENTCON 2021
Country/TerritoryIndia
CityBengaluru
Period19/11/2121/11/21

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