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  **Dataset source:** NYC Property Sales (originally from Kaggle, re-hosted on this Hugging Face dataset)
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- **Video walkthrough:** TODO – Loom / Zoom / YouTube link once recorded
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  ---
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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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  ## Video Walkthrough
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- Once recorded, place your video link here, for example:
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- > ▶️ **Video walkthrough:** TODO – Loom / Zoom / YouTube link
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- The video should briefly introduce the dataset and then walk through:
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- - Cleaning steps
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- - Main plots
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- - Answers to the research questions
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- - Any limitations and ideas for future work
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- ---
 
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  **Dataset source:** NYC Property Sales (originally from Kaggle, re-hosted on this Hugging Face dataset)
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+ **Video walkthrough:** https://youtu.be/jBrw9EJpCOo
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  ---
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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):** https://youtu.be/jBrw9EJpCOo
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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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  ## Video Walkthrough
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+ > ▶️ **Video walkthrough:** https://youtu.be/jBrw9EJpCOo