Chicago crimes map

Dashboard for visualization data from bigquery-public-data.chicago_crime.crime. Built with Streamlit and FastAPI.

How to run

1. Create a service user in the google cloud console
2. Generate JSON with credentials
3. Put your credentials to api/credentials/credentials.json
4. Run docker-compose up --build in the root of the repo

The dashboard will be available at http://0.0.0.0:8501 and API at http://0.0.0.0:8000. After deploying an API you can find docs at http://0.0.0.0:8000/docs#/

How to make it better

Here is a list of things that could be improved in this dashboard:

• Better caching. Now I am using a simple st.cache that doesn't work if we change the dates interval a bit (for example by adding one extra day). We can use more complex caching on the API side, store locations grouped by date and type in Redis , and join data from cache with data from bigquery
• Better map. streamlit.map is too simple. So if in the future we would like to add different markers on the map, or add pop-ups, or build a heatmap we should use another map.
• OAuth's authentication so every client will not use one credential stored on the server