Abstract: Sichuan opera, as a typical representative of Bashu culture, contains rich historical characteristics and artistic value, but there is little research in the field of visualization. In order to increase the people's understanding of Sichuan Opera culture, six visualization modules are constructed from three aspects: historical origin, artistic features, development and inheritance, to study the visualization design of big data in Sichuan Opera culture. Firstly, data sources and data characteristics are determined based on demand analysis, and then set visualization tasks; Secondly, the presentation scheme of Sichuan Opera data is designed using textual, hierarchical, spatiotemporal, and multi-dimensional visualization techniques, and multiple interaction technologies are combined to achieve the correlation and analysis of multi-dimensional data; Finally, through case studies, it is proved that this method helps audience get a better understanding of the culture of Sichuan Opera, further analyze the development and inheritance of Sichuan Opera, and provide the basis for cultural big data visualization research in other fields in the future.