def aggregator(df, column):
    """
    Return multiple aggregate data values, compiled into a list. summ (total), minn (lowest value), maxx (highest value), avg (mean), med (median), mode (most repeated value).
    
    Parameters
    ----------
    df : pandas object
        dataFrame from which to pull the values
    column : string
        column to focus on for creating the aggregate data
    
    Returns
    -------
    list of floats
        [summ, minn, maxx, avg, med, mode]
    
    Usage / Example
    ---------------
    ps4_sum, _, ps4_max, ps4_avg, _, ps4_mode = aggregator(df_ps4, "Global_Sales")
        NOTE : values you don't want saved to an object, like min/med in above examples, were ignored by using the underscore character instead of an object name.
    """
    summ = df[column].sum().__round__(3) # Total sales for games on this system
    minn = df[column].min().__round__(3) # Lowest sales for a game on this sytem
    maxx = df[column].max().__round__(3) # Highest sales for a game on this system
    avg = df[column].mean().__round__(3) # Average sales for games on this system
    med = df[column].median().__round__(3) # Median sales for games on this sytem
    mode = df[column].mode().__round__(3) # Most repeated value for games sales on this system
    return [summ, minn, maxx, avg, med, mode]