基于Python的网站访问数据可视化方法

Python-based Website Access Data Visualization Method

针对当前网络访问数据可视化展示效率低、展示效果差等问题,引入Python开展对网站访问数据可视化方法的研究。首先,从采集网站访问数据、对数据进行预处理、基于Python构建访问数据深度挖掘模型等方面,分析该方法的设计流程;其次,进行对比实验。实验结果表明,新的可视化方法能够有效提高数据展示的效率,并实现对数据多种形式的描述和表达,促进数据利用价值的进一步提升。

Aiming at the problems of low efficiency and poor display effect of current network access data visualization,Python was introduced to carry out design research on website access data visualization methods.Firstly,the design process of this method is analyzed from the aspects of collecting website access data,preprocessing data,and building a deep mining model of access data based on python.Secondly,a comparative experiment was carried out.Comparative experiments show that the new visualization method can effectively improve the efficiency of data display,and realize the description and expression of data in various forms,and promote the further improvement of data utilization value.