Use Publicly Available data to create an interactive application explaining the global trade of precious metals
- Prototype: Python Streamlit
- Production deployment: Modal labs
# Step 1: Clone the repo
git clone https://github.com/LNshuti/metals-trade.git
# Step 2: Create an isolated environment to manage dependencies
conda env create --file=environment.yaml
# Step 3: install required Python packages
pip install -r requirements.txt
# Step 4: Inspect the data
$ datasette .\data\processed\rankings.db
# Step 5: Run Python Application
$ streamlit run app.py
# Step 5: Deploy Flask Application with Modal
$ modal serve app.py
- The Atlas of Economic Complexity. https://atlas.cid.harvard.edu/