We created this interactive dashboard as a proof of concept for Snip Avenue as part of our IS215: Digital Business Transformation and Technologies project. The goal is to demonstrate the ability of dashboards and how they could allow key stakeholders to tap on live information to inculcate a data-driven culture within the organisation.
Feel free to access the deployed dashboard here (https://share.streamlit.io/lohkokwee/snip-avenue-dashboard/main/app.py).
Alternatively, you may follow these commands if you wish to run the app locally:
- Install respective dependencies (either manually from the requirements.txt file or by running the following command)
pip install -r requirements.txt
- Run the app.
streamlit run app.py
The folders for our dashboard are organised in the following manner.
- Apps - this is where you can access the different views for our streamlit web dashboard
- Components - this is where we store the code for our data visualisations and common methods
- Assets - this is where we store our datasets and images
- notebooks - this is where our working notebooks are stored (note that the code is very raw as it consists of our workings)