import pandas as pd


def describe_datetime_info(data: pd.Series, datetime_is_numeric: bool = False) -> pd.Series:
    """
    if the type of data is str and data dont have date, it will be populated by the
    date of today.
    @param data: data
    @param datetime_is_numeric : bool, default False
            Whether to treat datetime dtypes as numeric. This affects statistics
            calculated for the column. For DataFrame input, this also
            controls whether datetime columns are included by default.
    @return: Summary statistics of the Series.
    @example: Describing a numeric ``Series``.

        >>> s = pd.read_csv()
        >>> s.describe()
        count                        1427132
        unique                         25111
        top       2022-04-26 09:25:00.260000
        freq                           32994
        first            2022-04-26 09:25:00
        last      2022-04-26 09:34:46.340000
        Name: TradTime, dtype: object
    """
    return pd.to_datetime(data).describe(datetime_is_numeric=datetime_is_numeric)