import pandas as pd
import numpy as np

# Load data
file_path = "New_York_cars.csv"
print(f"Loading {file_path}...")
df = pd.read_csv(file_path)

print("Columns:", df.columns.tolist())
print("\nShape:", df.shape)

print("\nSample 'money' values:", df["money"].head(10).tolist())
print("\nSample 'Mileage' values:", df["Mileage"].head(10).tolist())

# Check info
print("\nInfo:")
print(df.info())

# Check missing
print("\nMissing values:\n", df.isnull().sum())

# Check 'money' column type and issues
# It seems to be int64 based on previous head, but let's verify if there are non-numeric
print("\nMoney description:\n", df["money"].describe())

# Check 'Mileage'
print("\nMileage description:\n", df["Mileage"].describe())