Instruction: Describe how to inspect the data types of the columns in a DataFrame using Pandas.
Context: This question evaluates the candidate's ability to inspect and understand the structure of a DataFrame, which is crucial for data preprocessing.
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To check the data type of each column in a DataFrame, I use the .dtypes attribute. This attribute returns a Series with the data type of each column. The data types are easy to read and understand, ranging from float64, int64, object (for string or mixed types), bool, among others. Here's a brief example of how I typically use this attribute:
```python import pandas as pd...