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README.md
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@@ -91,9 +91,7 @@ Room type shows only a weak relationship with high ratings.
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- Shared rooms have the lowest
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- Overall, differences across room types are modest, suggesting room type alone is not a strong predictor of guest satisfaction
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### Q2 — What Is the Price Distribution of Highly-Rated vs. Not-Highly-Rated Listings?
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- Room type has only a minor impact on ratings, with small differences across room categories.
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- Price and rating show no clear correlation, and low prices mainly indicate new, unrated listings.
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- Neighbourhood group influences rating consistency, with Staten Island and Queens performing best proportionally.
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- More experienced hosts (managing more listings) consistently receive higher ratings.
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- Shared rooms have the lowest
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- Overall, differences across room types are modest, suggesting room type alone is not a strong predictor of guest satisfaction
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### Q2 — What Is the Price Distribution of Highly-Rated vs. Not-Highly-Rated Listings?
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| 134 |
- Room type has only a minor impact on ratings, with small differences across room categories.
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| 135 |
- Price and rating show no clear correlation, and low prices mainly indicate new, unrated listings.
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| 136 |
- Neighbourhood group influences rating consistency, with Staten Island and Queens performing best proportionally.
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| 137 |
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- More experienced hosts (managing more listings) consistently receive higher ratings.
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No single feature—such as price, room type, neighbourhood group, or host activity—showed a strong correlation with review ratings.
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This likely reflects the fact that ratings are influenced by a combination of subjective guest experiences, service quality, communication, and expectations, none of which are fully captured in the dataset’s structured variables.
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