"基于Scrapy框架Python的全国高考数据爬虫与数据分析研究"

本论文详细介绍了基于Scrapy框架Python的全国高考数据爬虫及数据分析项目。首先对Python爬虫的开发背景和Python对数据分析的重要性进行了阐述，接着讨论了将Python爬虫和数据分析相结合的设计目标。本文采用Scrapy框架和Python开发了一个全国高考数据爬虫，将数据存储到MySQL数据库和Excel中进行处理，然后对数据进行全面的分析。数据来源于网站上的数据，处理采用了Pandas模块，数据分析主要包括数据可视化和数据挖掘，使用了Python第三方库Matplotlib和pyecharts，以及线性回归和Lasso回归预测进行数据挖掘和分析。关键词包括Python爬虫、MySQL数据库、Scrapy框架、数据分析、数据挖掘、Excel、Matplotlib、pyecharts、线性回归、Lasso回归预测、Python机器学习。Through the combination of Python web crawler and data analysis, this project aims to crawl national college entrance examination data and conduct in-depth analysis. The use of Scrapy framework and Python in the development of the web crawler allows for efficient data extraction and storage in MySQL database and Excel for further processing and analysis. Data processing is carried out using the Pandas module, while data analysis includes data visualization and mining using Python third-party libraries such as Matplotlib and pyecharts, as well as linear regression and Lasso regression prediction for data exploration. Keywords: Python web crawler, MySQL database, Scrapy framework, data analysis, data mining, Excel, Matplotlib, pyecharts, linear regression, Lasso regression prediction, Python machine learning.