Article Details

Abstract

This research constructs a movie data collection and visualization system based on Python to achieve efficient mining of data value. The system adopts tools such as Requests and Scrapy to complete multi-source movie data collection and cooperates with anti-crawler strategies to guarantee data acquisition. The system finishes data cleaning and preprocessing through tools such as Pandas. Meanwhile, the system designs a layered architecture and realizes data visualization by using tools such as ECharts. The system achieves the goals of efficiently collecting movie data, systematic processing of data, processing data in a standardized manner and displaying data intuitively, and provides strong support for movie industry analysis and decision-making.

Keywords

Python; movie data collection; visualization

References

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Funding

Wuhan University of Media and Communications 2024 School level Teaching Reform Research Project (Course Linkage Special) "Research on Teaching Optimization for Practical Abilities" (XJ20241019)

About the authors

Guo Xueqin (1982-), female, Han nationality, from Linyi, Shandong, intermediate engineer, master's degree, research direction: big data and artificial intelligence.