# Print the value counts for 'Borough'
print(df['Borough'].value_counts(dropna=False))

# Print the value_counts for 'State'
print(df['State'].value_counts(dropna=False))

# Print the value counts for 'Site Fill'
print(df['Site Fill'].value_counts(dropna=False))

c63de44d1763e177a610120f5b98e8d9c3c6cb0f
<mask token>

print(df['Borough'].value_counts(dropna=False))
print(df['State'].value_counts(dropna=False))
print(df['Site Fill'].value_counts(dropna=False))

# Print the value counts for 'Borough'
print(df['Borough'].value_counts(dropna=False))

# Print the value_counts for 'State'
print(df['State'].value_counts(dropna=False))

# Print the value counts for 'Site Fill'
print(df['Site Fill'].value_counts(dropna=False))
