Business Analytics Dashboard Website using Streamlit Python and MySQL

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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

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