Imperial College Business School Capstone Competition 2024

for the collaborative group

Here are the steps to upload your files, queries.txt and observations.txt:

• prefix your files with your student id i.e 484_queries.txt and 484_observations.txt
• copy your files to the appropriate week number folder within the results directory
• that's it...Thank you!

You will need to download the following into your Jupyter environment:

• the Jupyter notebook load_capstone_results.ipynb
• the initial_data directory which contains the functions' initial inputs and output files (these are numpy format files)
• the data directory which contains the students result files (queries and observations - these are plain text files)
• that's it...Thank you!

After downloading all the above into your Jupyter environment:

• run the notebook load_capstone_results.ipynb
• the initial data and the students' result data will be merged and stored in the directory update_data in numpy format files
• to view your results, run the method print_student_results with your student_id e.g. loader.print_student_results(484). This will print your results, ordered by week number
• you can view your results, sorted by function number, by including a True argument to the print_student_results method e.g. loader.print_student_results(484, True)
• to view the (entire) updated results, run the method print_results e.g. loader.print_results()
• the observation results can also be viewed graphically by running the method plot_observations. Pass in your student id as an argument and your observations will be highlighted on each graph e.g. loader.plot_observations(484)
• run the method loader.save_results() to save the results to a CSV file
• there are a collection of other useful functions such as:
• get_initial_function_data
• get_data_results
• get_week_list
• get_student_list
• Thank you!