Crawling and Visualization of Book Evaluation Data from Internet

The explosive development of the Internet means that the number of Internet data has been countless. On this basis, with the increasing popularity of e-commerce platforms and the convenience of online shopping, more and more people are choosing to purchase the goods they need online. For online shopping products, it is not possible to directly observe trials, which often causes people to have certain influence on the judgment of the performance of the products sold. This paper uses data crawling and visualization to display a large amount of book evaluation data to online shopping users. This paper mainly studies and implements the visualization system design method of book evaluation data. Firstly, the python-based online shopping book evaluation data crawling method is implemented, and the shutdown step includes requesting a webpage, obtaining book rating data, connecting a MYSQL database, and storing book rating data; Then, the cleaning and sorting extracts the crawled online sales book evaluation data from the MYSQL database and performs word frequency statistics. In order to display the cleaned up book evaluation data, a python-based data visualization method is implemented, and a word cloud map is generated. Finally, the method is designed and implemented, and a visualization system for book evaluation data is realized. The system is stable and reliable, and the effect is good.