def basic_statistics(df, column):
    if column not in df.columns:
        raise ValueError(
            f"Column '{column}' not found. Available: {list(df.columns)}"
        )

    return {
        "mean": float(df[column].mean()),
        "std": float(df[column].std()),
        "min": float(df[column].min()),
        "max": float(df[column].max()),
    }