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README.md
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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:**
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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):**
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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:** 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
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