After profiling a dataset, a data analyst discovers that multiple columns have the same values in the same order, but with different column names. What should be the next step in the data cleaning process?
- Combine the columns into a single column
- Drop one of the columns
- Leave them as they are
- Rename the columns to have the same name
In this situation, you should rename the columns to have the same name. It ensures consistency and clarity in the dataset, making it easier to work with. This step is crucial for data integration and analysis as it avoids redundancy and confusion that might arise from having multiple column names for the same data.
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