Pythonic Solution
IntuitionUse Pandas built in function to drop missing data rowsApproachUse dropna() to drop rows in the name column with missing dataComplexity
Time complexity:
# Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
Use Pandas built in function to drop missing data rows

# Approach
<!-- Describe your approach to solving the problem. -->
Use dropna() to drop rows in the name column with missing data

# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
O(n) to iterate through the rows

- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
O(m) fort he number of unique names

# Code
```pythondata []
import pandas as pd

def dropMissingData(students: pd.DataFrame) -> pd.DataFrame:
    
    result = students.dropna(subset = ['name'])

    return result
```
['Pandas']