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Update README.md

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@@ -250,10 +250,13 @@ These findings all support the main conclusion that **NYC property prices are dr
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  ## Files Included
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- - `nyc-rolling-sales.csv` – cleaned NYC property sales dataset (as uploaded to this HF repo).
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- - `assignment1_nyc_eda.ipynb` – Colab / Jupyter notebook with full code and analysis.
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- - `README.md` – this summary of methods, visualizations, and key insights.
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- - **Plots** all PNG files referenced above, exported from the notebook.
 
 
 
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  ## Files Included
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+ - `nyc_rolling_sales.csv` – original NYC property sales dataset (cleaned subset used in this project).
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+ - [`nyc_property_sales_eda.ipynb`](nyc_property_sales_eda.ipynb)full Python + pandas EDA notebook.
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+ - `README.md` – project summary, research questions, and plots.
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+ - **Video walkthrough (Loom / YouTube):** _[link to be added here]_.
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+ - **Interactive Colab notebook:**
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+ [Open in Google Colab](https://colab.research.google.com/drive/13FqJBe0YAL3wtOM0oRuMqPS5M2bVfTaF)
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