Airbnb Popularity Bucket Pricing

PandasMediumMid levelAirbnb~15 min

Problem

**[Asked at Airbnb]**

Bucket listings by `reviews_count` into three popularity tiers:
- **Few**: 0-10 reviews
- **Some**: 11-50 reviews
- **Many**: 51+ reviews

For each bucket, return `min_price`, `max_price`, and `mean_price`.
Order: Few, Some, Many (use `pd.cut` with these bins).

Example rows — the live problem includes the full dataset.

listings

listing_id	city	price	reviews_count
1	NY	200	5
2	NY	300	50
3	LA	150	15
4	LA	250	100
5	Chicago	180	200

Your answer should return 3 rows with the columns bucket, min_price, max_price, mean_price.

import pandas as pd

def popularity_pricing(listings: pd.DataFrame) -> pd.DataFrame:
    # Your code here
    return listings

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