Student Data Manipulation ECOR 1042 Summative Project Thursday, April 6th, 2023 Data Visualiser, version 1.0

Contact Information: Elyssa Grant elyssagrant@cmail.carleton.ca

Description: This software takes in a formatted .csv file and manipulates the data to make it easier to read. The software is capable of filtering, sorting and plotting the data and includes both interactive and batcht user interfaces.

Dependencies: This software requires Python version 3.11.2 as well as Numpy version 1.24.0 and Matplotlib version 3.7.1 in order to run.

Installation: In order to install the software, first ensure your system has the the required software dependencies described above. Then extract the files from the zip and ensure they are all in the same folder. Open and run either the text_UI.py file or the batcht_UI.py files in order to initiate the program.

Usage: Please see the asssociated user video for a deeper understanding of how the software functions.

Credits:

Function Author

student_school_list Josh Elsasser student_health_list Elyssa Grant student_age_list Lucas McDonald student_failures_list Kaeler Howk load_data Josh Elsasser, Elyssa Grant, Kaeler Howk, Lucas McDonald add_average Josh Elsasser, Elyssa Grant, Kaeler Howk, Lucas McDonald test_return_list Kaeler Howk test_return_list_correct_length Josh Elsasser test_return_correct_dict_inside_list Lucas McDonald test_add_average Elyssa Grant sort_students_age_bubble Lucas McDonald sort_students_time_selection Josh Elsasser sort_students_g_avg_insertion Elyssa Grant sort_students_failures_bubble Kaeler Howk sort_by_key Josh Elsasser, Elyssa Grant, Kaeler Howk, Lucas McDonald curve_fit Elyssa Grant histogram Kaeler Howk text_UI Lucas McDonald batcht_UI Josh Elsasser