2025 USA-NA-AIO Round 1, Problem 3, Part 3

AI Olympiads 2025 USA-NA-AIO Round 1
1

Part 3 (5 points, coding task)

Do the following tasks in this part.

  1. In df_2, remove all rows that contain null (missing) values.

  2. Save the updated DateFrame object as df_3 (that is, the change of df_2 should not be inplace).

  3. For df_3, print the count of missing values per column.

  4. Print the shape of df_3.

2 
### WRITE YOUR SOLUTION HERE ###
df_3 = df_2.dropna()

print(df_3.isnull().sum())

print(df_3.shape)
""" END OF THIS PART """