To get the most out of your schoolgirl's list, follow these tips:
df['Student_ID'] = df['Student_ID'].astype(str).str.zfill(6) # Restore zeros df = df.apply(lambda x: x.str.strip() if x.dtype == "object" else x) # Remove spaces df = df.drop_duplicates(subset=['Student_ID']) # Remove dupes schoolgirls list fix
Lists of students, particularly if they include personal details, can compromise the privacy of schoolgirls. In the digital age, such information can be easily accessed, shared, or misused. To get the most out of your schoolgirl's
Before we apply the fix, we need a diagnosis. A schoolgirls list (typically an Excel spreadsheet, Google Sheet, or CSV export from an SIS - Student Information System) breaks for seven common reasons: particularly if they include personal details