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How to Visualize Housing Data with Python & Streamlit!
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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
💻 Code snippets included for every step—perfect for beginners!
👇 Timestamps 👇
00:00 - Intro & Demo
00:44 - Loading & Prepping Data with Pandas
01:35 - Building the Streamlit UI (Dropdowns, Date Pickers)
02:32- Filtering Data & Generating Charts
🔔 Want more Python magic? SMASH that LIKE button, SUBSCRIBE, and ring the bell so you never miss a tutorial!
💬 Comment below: What dataset should I visualize next?
#python #coding #programming #pythonprogramming #datavisualization #streamlit #datascience
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
💻 Code snippets included for every step—perfect for beginners!
👇 Timestamps 👇
00:00 - Intro & Demo
00:44 - Loading & Prepping Data with Pandas
01:35 - Building the Streamlit UI (Dropdowns, Date Pickers)
02:32- Filtering Data & Generating Charts
🔔 Want more Python magic? SMASH that LIKE button, SUBSCRIBE, and ring the bell so you never miss a tutorial!
💬 Comment below: What dataset should I visualize next?
#python #coding #programming #pythonprogramming #datavisualization #streamlit #datascience
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