Combining Results from Chunks

To combine results from each chunk for final analysis, you can follow these steps:

1. Initialize an empty variable to store the combined results.
2. Iterate through each chunk of data.
3. Within each iteration, perform the analysis on the current chunk.
4. Combine the results from the current chunk with the previously combined results.
5. Repeat the above steps for each chunk.
6. After iterating through all the chunks, you will have the final combined results.

Here's an example function that demonstrates this process:

def combine_chunk_results(chunks):
    # Initialize empty variable for combined results
    combined_results = None

    # Iterate through each chunk
    for chunk in chunks:
        # Perform analysis on current chunk (for example, summing the numbers)
        chunk_result = sum(chunk)
        
        # Combine the results with previously combined results
        if combined_results is None:   # For the first iteration
            combined_results = chunk_result
        else:                          # For subsequent iterations
            combined_results += chunk_result

    # Return the final combined results
    return combined_results

Example usage:

# Define the chunks of data
chunks = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]

# Call the function to combine the results
combined_results = combine_chunk_results(chunks)

# Print the final combined results
print(combined_results) # Output: 45 (1+2+3+4+5+6+7+8+9)

This function iterates through each chunk of data and performs the analysis on each chunk (summing the numbers in this example). It combines the results from each chunk into a final result. The function is flexible and can be modified to perform different types of analysis on the chunks of data.