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df.isnull().sum()

#check where is null in a columns
df[df["Business Description"].isnull() == True]

is_NaN = df.isnull()
row_has_NaN = is_NaN.any(axis=1)
rows_with_NaN = df[row_has_NaN]

print(rows_with_NaN)
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