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Merge it all

Time to keep working with the obesity project! You will analyze the mean obesity percentage in different countries, but this time, the obesity DataFrame has a new column named bounds. It contains the minimum and maximum values you can find in different parts of the same country.

You notice that these values are given in a list, so you decide that you need to transform that column. You would like to have each element in a new row.

The DataFrame obesity is available in your session. Make sure to examine it in the console!

This exercise is part of the course

Reshaping Data with pandas

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Hands-on interactive exercise

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

# Explode the values of bounds to a separate row
obesity_bounds = ____[____].____

# Print obesity_bounds
print(obesity_bounds)
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