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# EDA Summary — Airbnb Open Data - Lior Feinstein
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This project explores an Airbnb dataset to understand which factors influence the review ratings that listings receive. The analysis includes data cleaning, visualizations, and investigations into how price, room type, neighbourhood group, and host activity relate to guest review rating.
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## 1. Dataset Overview
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The dataset consists of 102,599 Airbnb listings in the United States. It includes 26 original features covering listing attributes, host characteristics, availability details, and review metrics.
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### Key Feature Types (full list in the notebook)
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**Categorical Features:**
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- `room_type`
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# EDA Summary — Airbnb Open Data - Lior Feinstein
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This project explores an Airbnb dataset to understand which factors influence the review ratings that listings receive. The analysis includes data cleaning, visualizations, and investigations into how price, room type, neighbourhood group, and host activity relate to guest review rating.
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## 1. Dataset Overview
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The dataset consists of 102,599 Airbnb listings in the New York City,United States. It includes 26 original features covering listing attributes, host characteristics, availability details, and review metrics.
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### Key Feature Types (full list in the notebook)
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**Categorical Features:**
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- `room_type`
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