def missing_values(dataFrame):
    """function returns the percent rate of null values in given DataFrame"""
    missing_data = dataFrame.isnull().sum() * 100
    missing_data = missing_data.sort_values(ascending = False)
    missing_data = pd.DataFrame({'missing_rate':missing_data})
    return missing_data


def get_ticks(DataFrame,labels):
    """return list of lists corelated with labels.
        Each label contain uniq set of ticks which can be use for countplot"""
    xticks = []
    for i,label in enumerate(df_labels):
        values = list(set(DataFrame[label]))
        xtick = []
        listed_data = list(DataFrame[label])
        for value in values:
            xtick.append(listed_data.count(value))
        xticks.append(list(set(xtick)))
    return xticks


import dateutil.parser

def insert_data_columns(dataFrame, nameOfDataColumn):
    def getDateTimeFromISO8601String(s):
        d = dateutil.parser.parse(s)
        return d
    dateTimeList = [getDateTimeFromISO8601String(x).date() for x in dataFrame[nameOfDataColumn]]
    dataFrame['day'] = pd.Series([x.day for x in dateTimeList])
    dataFrame['month'] = pd.Series([x.month for x in dateTimeList])
    dataFrame['year'] = pd.Series([x.year for x in dateTimeList])
    dataFrame['day_of_week'] = pd.Series([x.weekday() for x in dateTimeList])