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Exploring and pseudonymizing a dataset

In this exercise, you will explore the student performance dataset and decide which columns are more suitable for specific sampling anonymization techniques.

numpy has already been loaded as np and the dataset is loaded as students.

This exercise is part of the course

Data Privacy and Anonymization in Python

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Print the summarized information of the DataFrame
print(____)

# Print the number of unique values in each column of students 
print(____)
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