Exercise

Identifying potential confounds

Once measures have been extracted, double-check for dependencies within your data. This is especially true if any image parameters (sampling rate, field of view) might differ between subjects, or you pull multiple measures from a single image.

For the final exercises, we have combined demographic and brain volume measures into a pandas DataFrame (df).

First, you will explore the table and available variables. Then, you will check for correlations between the data.

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Print three random rows in df using the .sample() method.