基于python的微信公众号关注者数据分析

Python-Based Data Analysis of Public Followers in Micro-Communications

在数据无处不在的时代,对数据进行有效对分析显得十分重要。利用python语言从一个微信公众号内获取到所有关注者的信息,通过数据筛选,将关注者的性别、年龄、名称、居住地等信息保存到json文件中,并对这些数据进行可视化的处理与分析,最终将关注者信息通过可视化的方式呈现出来。实验结果表明,基于python的可视化数据分析的实现,为大数据分析与数据时代信息价值的挖掘提供了高效、准确、丰富的资源,可以更好的满足数据分析的要求。

In the era of big data,it is very important to analyze data effectively.All followers’information is obtained from a public number of We Chat by Python language.the information of gender,age,name and residence of followers is saved in json file through data filtering.Also,these data are processed and analyzed visually.Eventually,the followers'information is visually presented.The experimental results illustrate that the implementation of python-based visual data analysis provides efficient,accurate and abundant resources for large data analysis and information value mining in the data age,which can better satisfied the requirements of data analysis.