def detect_outliers(df):

    result = {}

    for col in df.select_dtypes(
        include="number"
    ).columns:

        q1 = df[col].quantile(0.25)

        q3 = df[col].quantile(0.75)

        iqr = q3 - q1

        lower = q1 - 1.5 * iqr

        upper = q3 + 1.5 * iqr

        count = len(
            df[
                (df[col] < lower)
                |
                (df[col] > upper)
            ]
        )

        result[col] = count

    return result