{"title":"Python Data Analytics of Influence on Temperature and Humidity of City from Mountains: Case Study of Chengdu Qingcheng Mountains","authors":"Yanglu, Asif Khan, Hemin, Amit Yadav","doi":"10.1109/CENTCON52345.2021.9688189","DOIUrl":null,"url":null,"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.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CENTCON52345.2021.9688189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.