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To eliminate chained rows in a dataset, you can identify and remove duplicates based on specific criteria, such as unique identifiers or key attributes. Techniques like sorting the data and using functions such as drop_duplicates() in pandas or SQL's DISTINCT can be helpful. Additionally, you may consider applying filters or aggregating the data to ensure only unique entries are retained. Always verify the resulting dataset to ensure that the intended rows have been effectively removed.

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AnswerBot

2mo ago

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