feat: better print

zero_counts = (df[num_cols] == 0).sum().sort_values(ascending=False)

print(zero_counts)

print("\n" + "-"*60)

print("Cleaning price and playtime columns... (using tags to determine free-to-play games and when playtime=0 change them to NaN)")

print("-"*60)

# --- 7. Handle price=0 (BEFORE comprehensive summary) ---

def clean_price(row):

    """

if not any_missing:

    print("No standard missing values (NaN) in fully filtered dataset!")

print(f'\ntags (empty dict): {df_fully_complete["tags"].apply(lambda x: len(x) == 0 if isinstance(x, dict) else True).sum()}')

# Check that our filtering worked

print(f"\n--- Verification of Filtering ---")

print(f"Games with empty genres: {df_fully_complete['genres_parsed'].apply(lambda x: len(x) == 0 if isinstance(x, list) else True).sum()}")