Expense Tracker App 💰

Developed as part of Streamlit's Student Ambassador program. The task is as follows:

This challenge is focused on building and sharing apps that use one of our most recently released features, st.experimental_data_editor!

- Check out the docs for st.experimental_data_editor.
- Upgrade to the most recent version of Streamlit (1.19.0) with pip install streamlit --upgrade or the package manager of your choice.
- Build an app that uses st.experimental_data_editor and share it on Twitter. Don’t forget to tag us!

This app allows users to track their expenses and visualize them in different types of charts using Streamlit's new editable dataframes feature.

Features

• Add, edit, and delete expenses using Streamlit's new editable dataframes feature.
• Visualize expenses in pie charts, bar charts, and line charts.
• Download the dataframes as a csv or excel file.