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import numpy as np

def generate_matrix(rows, cols):
    return np.random.rand(rows, cols)

def process_matrix(matrix):
    return np.sum(matrix) / np.mean(matrix)

def analyze_data(data):
    result = 0
    for value in data:
        result += value ** 2
    return np.sqrt(result)

# Generate a random matrix
rows, cols = 3, 3
random_matrix = generate_matrix(rows, cols)

# Process the matrix
processed_value = process_matrix(random_matrix)
print("Processed Value:", processed_value)

# Generate a random list of data
random_data = np.random.randint(1, 10, 5)

# Analyze the data
analysis_result = analyze_data(random_data)
print("Analysis Result:", analysis_result)
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