Data visualisation analysis of online novel websites

Abstract

With the development of science and technology and the progress of the times, the online novel reading industry is also developing at a rapid pace, and online novel reading websites have also emerged. In order to make users better understand the current trend of popular novel genre popularity and give corresponding reference when users choose the novels to read. This study analyses novel creation data, novel creation genres, novel creation era, author writings and other data visualisation methods through bar charts, pie charts, radar charts, heat maps, word cloud charts and other data visualisation methods. Using web scraper, data on novel information is collected to ensure that the data is authentic and reliable. On the basis of cleaning the data using Python, the Echarts plugin is used to visualise the basic information of novels as well as the author's information to present the information of novels and readers in a more visual and vivid way. The study helps to obtain richer information about the novels and authors that one wishes to know, while making the readers' experience better and helping the website to operate and develop better.