Visualize Housing Data in MINUTES with Python & Streamlit!
Hello Pythoneers!
Transform raw housing data into stunning visualizations with Python & Streamlit — no advanced skills required!
In this tutorial, you’ll learn to:
✅ Build a dynamic Streamlit app to explore housing market trends
✅ Clean & prep Zillow data (CSV provided!) using Pandas
✅ Create interactive filters for regions, dates, and live-updating charts
✅ Display polished line graphs + raw data tables in seconds
📁 GitHub Data Link: https://github.com/Tonkyboy/playgroun...
📁 Zillow API: https://www.zillow.com/research/data/
💻 Code snippets included for every step—perfect for beginners!
👇 Timestamps 👇
00:00 - Intro & Demo
00:45 - Loading & Prepping Data with Pandas
01:41 - Building the Streamlit UI (Dropdowns, Date Pickers)
02:42- Filtering Data & Generating Charts
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💬 Comment below: What dataset should I visualize next?
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