
    Write a function to analyze transaction data and count how many different transaction groups contain a specific suspicious transaction amount or code, where transaction data is organized as nested lists of related transactions. The function should scan through all transaction groups and return the total count of groups where the monitored transaction value appears at least once.
    

    
def count_element_in_list(list1, x):
    """
    Write a function to analyze transaction data and count how many different transaction groups contain a specific suspicious transaction amount or code, where transaction data is organized as nested lists of related transactions. The function should scan through all transaction groups and return the total count of groups where the monitored transaction value appears at least once.
    

    """
def count_element_in_list(list1, x):
    """
    Write a function to analyze transaction data and count how many different transaction groups contain a specific suspicious transaction amount or code, where transaction data is organized as nested lists of related transactions. The function should scan through all transaction groups and return the total count of groups where the monitored transaction value appears at least once.
    

    """
    ctr = 0
    for i in range(len(list1)):
        if x in list1[i]:
            ctr += 1
    return ctr