Electric School Bus Dashboard

EFREI Paris — Data Visualization Project (Streamlit)
Author: Mathieu Alassoeur
Course: Data Visualization & Storytelling — 2025

---

Project Overview

This project is an interactive dashboard that explores data related to electric school buses.
It allows users to visualize key aspects of electric school bus adoption or operational data (e.g., usage trends, comparisons, or indicators from the provided dataset).

The application is built with Streamlit and uses the provided dataset (data.xlsx) as its main data source.

---

Dataset

The dataset used in this project is included in the file data.xlsx.
It contains data related to electric school bus metrics relevant to the project’s visualizations and analysis.

---

Technologies Used

• Python 3
• Pandas (for data manipulation)
• Streamlit (for interactive dashboard)
• Excel (dataset format)

---

Project Structure

school-bus-dashboard/
│
├── app.py                 # Main Streamlit application
├── data.xlsx              # Dataset for the dashboard
├── efrei_logo.png         # Logo or asset used in the app
├── requirements.txt       # Python dependencies
└── README.md              # This file

---

Quick Start

Follow the steps below to run the dashboard locally.

1. Clone the repository

git clone https://github.com/MatALass/electric-school-bus-dashboard.git
cd electric-school-bus-dashboard

2. Create a virtual environment (recommended)

python -m venv venv

Activate the environment:

• macOS / Linux

source venv/bin/activate

• Windows (PowerShell)

venv\Scripts\Activate.ps1

3. Install dependencies

pip install -r requirements.txt

4. Run the Streamlit dashboard

streamlit run app.py

Once running, the dashboard will be open in your browser (typically at http://localhost:8501).

---

Dashboard Content

The dashboard includes:

• Visualizations based on the data.xlsx dataset
• Filters and interactive components
• Graphs and tables that help interpret electric school bus data