Instruction: Describe the steps to identify and remove duplicate records in a dataset.
Context: This question evaluates the candidate's ability to clean and prepare data by removing duplicates, a common task in data analysis.
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Firstly, it's essential to clarify what constitutes a duplicate within the specific context of the analysis. In some cases, a duplicate might mean that all values in a row are identical to another, while in other scenarios, only certain key fields need to be identical to consider two rows duplicates. Once this is established, I proceed with the steps to identify and remove these duplicates.
The process can be distilled into a few key steps, which I will detail. First, I ensure that the dataset is properly backed up to prevent any loss of information during the cleaning process. It's a simple yet crucial step. Next, I select the range of data from which I want to remove duplicates. This can be done...