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Missing data counts and percentage

# Missing data counts and percentage
missing = df.columns[df.isnull().any()].tolist()

print('Missing Data Count')
print(df[missing].isnull().sum().sort_values(ascending = False))
print('--'*12)
print('Missing Data Percentage')
print(round(df[missing].isnull().sum().sort_values(ascending = False)/len(df)*100,2))

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Missing data counts and percentage

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