Instruction: Discuss the methods to identify and remove duplicate data in a Pandas DataFrame, providing a code snippet to illustrate your approach.
Context: This question evaluates the candidate's practical skills in data cleaning using Pandas, specifically their ability to manage duplicate records within datasets. Efficient handling of duplicates is vital for ensuring the accuracy of data analysis and processing in any data-driven application.
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Firstly, to identify duplicates, Pandas provides a convenient function called duplicated(). This function returns a boolean series indicating whether each row is a duplicate of a row encountered earlier. I usually start by assessing how many duplicates are in the dataset to understand the extent of the issue. For example:
```python import pandas as pd...