Drop duplicates is a data manipulation operation used to remove duplicate rows from a dataset. The operation identifies rows with identical values in all columns (or specific columns, if specified) and keeps only the first occurrence of each duplicated row while removing the others. This operation is helpful for cleaning your dataset, ensuring data consistency, and preventing duplicate data from skewing your analysis.
Here's an example of how the drop duplicates operation works:
After applying the drop duplicates operation, you'll get:
Cleaned dataset (duplicates removed):
In this example, the operation removed the second occurrence of the row (1, 2) and the second occurrence of the row (3, 4).
In Octai, you can use the drop duplicates operation to clean your data before performing further analysis. By removing duplicate rows, you can ensure your dataset is more accurate and your analysis results are more reliable.
Updated 5 months ago