Dropping missing data

Now that you've explored the volunteer dataset and understand its structure and contents, it's time to begin dropping missing values.

In this exercise, you'll drop both columns and rows to create a subset of the volunteer dataset.

Cet exercice fait partie du cours

Preprocessing for Machine Learning in Python

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Instructions

Drop the Latitude and Longitude columns from volunteer, storing as volunteer_cols.
Subset volunteer_cols by dropping rows containing missing values in the category_desc, and store in a new variable called volunteer_subset.
Take a look at the .shape attribute of volunteer_subset, to verify it worked correctly.

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

# Drop the Latitude and Longitude columns from volunteer
volunteer_cols = ____

# Drop rows with missing category_desc values from volunteer_cols
volunteer_subset = ____

# Print out the shape of the subset
print(____.____)

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