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Update 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?
@@ -136,4 +134,7 @@ This may suggest that professional or experienced hosts provide more consistent
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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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  - 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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+ 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.