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
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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.
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山地对城市温湿度影响的Python数据分析——以成都青城山为例
数据分析的目的是将原始数据转化为信息,再转化为知识。本文以青城山所在山区为研究案例,以成都地区为研究范围,运用Python数据分析工具,按照数据采集、数据预处理、数据分析、可视化等步骤,简要探讨了山区对区域温湿度的影响,展示了Python数据分析的一般流程和方法。
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