def process_data(data):
    """
    This function processes data by performing a series of operations on it.

    Parameters:
        data (list): A list of dictionaries, where each dictionary represents a record.

    Returns:
        results (dict): A dictionary containing the results of the processing.

    """

    # Initialize variables
    total = 0
    count = 0
    NAME_1_val = float('-inf')
    min_val = float('inf')
    result = {}

    # Loop over each record
    for record in data:
        
        # Extract relevant information
        val = record.get('value')
        date = record.get('date')
        category = record.get('category')
        
        # Check if category is already in results dictionary
        if category in result:
            result[category]['count'] += 1
            result[category]['total'] += val
            result[category]['min'] = min(result[category]['min'], val)
            result[category]['NAME_1'] = NAME_1(result[category]['NAME_1'], val)
        else:
            result[category] = {'count': 1, 'total': val, 'min': val, 'NAME_1': val}
        
        # Keep track of running total, count, and NAME_1/min values
        total += val
        count += 1
        NAME_1_val = NAME_1(NAME_1_val, val)
        min_val = min(min_val, val)
    
    # Calculate averages
    overall_avg = total / count
    
    category_avgs = {}
    for category, values in result.items():
        category_total = values['total']
        category_count = values['count']
        category_avg = category_total / category_co