Pull Request: Add Predictive Model & Interactive Analytics with Linting Improvements

[khiyami]

Overview

This pull request includes two sets of changes:

1. Initial Implementation:

   • Adds a predictive model that processes course and requirement data.
   • Integrates a Plotly bar graph visualization for interactive analytics based on the processed data.
   • Handles merging data from Excel files stored in the correct directories and extracts key fields (e.g., major codes, short requirement labels).

2. Linting Improvements:

   • Refactors the code to meet PEP8 guidelines.
   • Includes changes such as improved spacing, consistent quoting, and proper formatting.
   • Adds a main() function with a main guard (if __name__ == "__main__":) to enhance modularity and reusability.

Changes Made

• Initial Commit:

  • Reads Excel files from the data/audit and data/course directories.
  • Merges datasets and processes data to extract and map major codes.
  • Generates an interactive bar chart using Plotly with a dropdown for major selection.

• Linting Commit:

  • Reformats the code for consistency and readability.
  • Applies PEP8 styling to functions, variable names, and overall file structure.
  • Implements a main guard to ensure the code only runs when executed directly.

Testing

• The predictive model and visualizations have been tested locally.