ITS Data Visualization Dashboard

A Streamlit dashboard for visualizing and analyzing academic data from ITS AI & Data Science course.

Features

• Lesson Distribution: Visualize teaching hours distribution across instructors

  • Pie chart with total hours
  • Bar chart showing individual instructor hours
  • Toggle between 1st and 2nd year data

• Academic Performance Analysis:

  • Student grade averages with visualizations
  • Teacher grade distributions
  • Attendance tracking with critical threshold indicators
  • Individual student report cards

• Performance Metrics:

  • Top and bottom performers
  • Attendance champions
  • Performance/attendance ratio analytics

Installation

1. Clone this repository
2. Install requirements:

pip install -r requirements.txt

Usage

Run the Streamlit application:

streamlit run main.py

Data Requirements

The application expects the following data files in the ./data directory:

• Calendario AI&DS - biennio 2023-25 - Calendario 1° anno.csv
• Calendario AI&DS - biennio 2023-25 - Calendario 2° anno.csv
• Valutazioni_Presenze.xlsx

Docker Support

For Docker deployment, refer to README.Docker.md

License

This project is licensed under the MIT License - see the LICENSE file for details.