Datasets:
lemousehunter
/
yelp2018_used

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review_id
int64
0
3.63M
user_id
int64
0
575k
business_id
int64
0
44.6k
review_stars
float64
0
5
review_date
float64
0
1
review_useful
float64
-0.08
26.3
business_stars
float64
0
1
business_review_count
float64
-3.85
4
business_is_open
int64
0
1
business_BikeParking
float64
-1
1
business_BusinessParking_validated
float64
-1
1
business_BusinessParking_valet
float64
-1
1
business_WheelchairAccessible
float64
-1
1
user_review_count
float64
-3.4
4
user_yelping_since
float64
0
1
user_useful
float64
-1.45
4
user_funny
float64
-1.06
4
user_cool
float64
-0.95
4
user_fans
float64
-1.23
4
user_average_stars
float64
0
1
review_min_bbox_area
float64
-1.39
4.73
review_bbox_area
float64
-1.32
4
review_area_ratio
float64
0
1
⌀
review_dist_to_centroid
float64
-2.02
4
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int64
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