#You can use the any() function to check for null values by Columns
pd.isnull(data).any()

# This will drop all columns that contain null values in the entire data set 
data.dropna()

#This will fill the null values with the average of BMI
data['BMI'].fillna(value = data['BMI'].mean())

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