1. Check whether the data is correct: First, you need to check the data in the table carefully to ensure the correctness of the data. If there are any errors or anomalies, they should be corrected in time.
2. Make sure that the data sources are different: If the data in the table are indeed duplicate, you need to make sure that they come from different data sources. Even if the data sources are the same, different data can be obtained by using different time periods, samples or variables.
3. Introduce new variables or factors: In order to make tabular data more diversified and innovative, you can try to introduce new variables or factors. For example, you can consider adding more dimensions, expanding your model, or using different statistical methods to analyze data.
4. Adjust table format: Sometimes, the repetition of table data may be caused by incorrect or irregular format. You can try to adjust the format of the table to make it clearer and easier to understand.
5. Note when quoting other people's data: If you quote other people's data, you must indicate it in the text and quote it correctly. This can avoid being considered as plagiarism or infringement of other people's intellectual property rights.