Bibliographic data is a type of metadata that represents and communicates bibliographic information in a machine-readable catalog format.As a key factor of production,machine-readable bibliographic data is widely used in the library and infor-mation community and plays an important role in interagency information sharing.In order to help data scientists understand the nature and traits of bibliographic data before formal analysis or modeling,a Datasette-based data exploration solution is proposed.It has been proven that this is a flexible and pragmatic approach that can effectively simplify data preprocessing and facilitate explor-atory data analysis.
万方数据