Inspiration
The sample dashboard we were given in the challenge file was very basic and not easily readable so we wanted to create a more user-friendly interactive dashboard.
What it does
This project is a Streamlit dashboard designed to analyze ingredient popularity and customer ordering trends at Roni's Mac Bar. The dashboard pulls data from CSV files representing monthly sales data and provides insights into popular ingredients, peak ordering hours, and other valuable information.
How we built it
Using pandas to filter the data, and Sreamlit to display our data on graphs in a dashboard
Challenges we ran into
We both haven't used Streamlit so we spent a bit of time just to get it up and running while testing our app.
Accomplishments that we're proud of
We like the layout and the interactiveness of the app. Neither of us has made an app before so the final product is much better than what we had initially thought.
What we learned
We learned how to filter and clean data using python, and how to use Streamlit to make a python integrated application. We also learned how to collaborate over Github and deploy a repository to the Streamlit app.
What's next for Roni's Mac Bar Dashboard
If we had more time, we could provide more details on the data, such as popularity by days of the week. We could also use AI to predict trends and provide business suggestions to Roni's Mac Bar.
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