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Author: Sonny Li

Diff for: twitch/README.md

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+# StreetEasy
+
+[StreetEasy](www.streeteasy.com) is New York City's leading real estate marketplace — from studios to high-rises, Brooklyn Heights to Harlem.
+
+In the Multiple Linear Regression (MLR) lesson, we have partnered with the StreetEasy Research team. You will be working with a **.csv** file that contains a sample of 5,000 rentals listings in `Manhattan`, `Brooklyn`, and `Queens`, active on StreetEasy in June 2016.
+
+It has the following fields:
+
+Headers | Description |
+--- | --- |
+`rental_id` | rental ID
+`building_id` | building ID
+`rent` | price of rent ($)
+`bedrooms` | number of bedrooms
+`bathrooms` | number of bathrooms
+`size_sqft` | size (ft²)
+`min_to_subway` | subway station (min)
+`floor` | floor number
+`building_age_yrs` | building age (year)
+`no_fee` | has no broker fee (0/1)
+`has_roofdeck` | has roof deck (0/1)
+`has_washer_dryer` | has in-unit washer/dryer (0/1)
+`has_doorman` | has doorman (0/1)
+`has_elevator` | has elevator (0/1)
+`has_dishwasher` | has dishwasher (0/1)
+`has_patio` | has patio (0/1)
+`has_gym` | has gym (0/1)
+`neighborhood` | neighborhood (ex: Greenpoint)
+`submarket` | submarket (ex: North Brooklyn)
+`borough` | borough (ex: Brooklyn)
+
+Thank you StreetEasy for this partnership and especially:
+
+- [Grant Long](https://streeteasy.com/blog/author/grantlong/), Sr. Economist
+- [Lauren Riefflin](https://streeteasy.com/blog/author/lauren/), Sr. Marketing Manager