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'''prints out columns with missing values with its %''' for col in df.columns: pct = df[col].isna().mean() * 100 if (pct != 0): p Section 7- Visualization of Missing Values Missing It is common to find missing values in a real-world dataset. We need to understand the missing values before imputing.