This Streamlit application provides an interactive dashboard for analyzing watch references. Users can filter data by brand and visualize various metrics related to the watch market.
- Data Visualization: Display historical data on watch references with interactive charts.
- Dynamic Filtering: Allow users to select up to three brands for analysis.
- Page Navigation: Easily switch between an overview page and a detailed "Top 200" references page.
To run this application locally, ensure you have the following installed:
- Python 3.x
- Streamlit
- Pandas
- Plotly
You can install the required packages using pip:
pip install -r requirements.txt