
    Create a financial analysis tool that identifies major expense categories in a client's monthly budget where spending meets or exceeds a specified dollar threshold, helping financial advisors focus on high-impact areas for budget optimization. The tool should accept a dictionary of expense categories with their corresponding monthly spending amounts, along with a minimum spending threshold value, and return only those expense categories where the monthly spending is at or above the threshold. This filtered view will enable advisors to prioritize areas needing immediate attention in their clients' financial planning sessions.
    

    
def dict_filter(dict, n):
    """
    Create a financial analysis tool that identifies major expense categories in a client's monthly budget where spending meets or exceeds a specified dollar threshold, helping financial advisors focus on high-impact areas for budget optimization. The tool should accept a dictionary of expense categories with their corresponding monthly spending amounts, along with a minimum spending threshold value, and return only those expense categories where the monthly spending is at or above the threshold. This filtered view will enable advisors to prioritize areas needing immediate attention in their clients' financial planning sessions.
    

    """
def dict_filter(dict, n):
    """
    Create a financial analysis tool that identifies major expense categories in a client's monthly budget where spending meets or exceeds a specified dollar threshold, helping financial advisors focus on high-impact areas for budget optimization. The tool should accept a dictionary of expense categories with their corresponding monthly spending amounts, along with a minimum spending threshold value, and return only those expense categories where the monthly spending is at or above the threshold. This filtered view will enable advisors to prioritize areas needing immediate attention in their clients' financial planning sessions.
    

    """
    result = {key: value for (key, value) in dict.items() if value >= n}
    return result