Crafting a Dashboard App in Python using Streamlit

In this presentation, ‪@DataProfessor‬ takes us on a journey to create a dashboard app in Python. Briefly, this constitutes the seamless integration of Pandas for data wrangling, NumPy for numerical processing, the array of Matplotlib/Seaborn/Plotly/Altair/ipyvizzu for data visualization and Streamlit as the web framework for weaving together everything into a shareable data app. By the end of the talk, you’ll see how easy it is to incrementally build, customize and craft a dashboard app. In the name of reproducibility, we’re providing the underlying data and codes mentioned in the talk for everyone to dive into and play around with!

🐙 GitHub repo https://github.com/dataprofessor/popu...
🕹️ App demo https://population-dashboard.streamli...
🏞️ Slides https://docs.google.com/presentation/...

This talk was given at the Budapest BI Forum 2023 held during November 20-22.

#streamlit #dashboard