Starbucks Customer Data

Starbucks customer dataset

@kaggle.ihormuliar_starbucks_customer_data

Table List

3 tables(3.78 MB)

Portfolio

Profile

Transcript

Portfolio

@kaggle.ihormuliar_starbucks_customer_data.portfolio

5.93 KB
10 rows
7 columns

unnamed_0 Unnamed: 0	reward Reward	channels Channels	difficulty Difficulty	duration Duration	offer_type Offer Type	id Id
	10	['email', 'mobile', 'social']	10	7	bogo	ae264e3637204a6fb9bb56bc8210ddfd
1	10	['web', 'email', 'mobile', 'social']	10	5	bogo	4d5c57ea9a6940dd891ad53e9dbe8da0
2		['web', 'email', 'mobile']		4	informational	3f207df678b143eea3cee63160fa8bed
3	5	['web', 'email', 'mobile']	5	7	bogo	9b98b8c7a33c4b65b9aebfe6a799e6d9
4	5	['web', 'email']	20	10	discount	0b1e1539f2cc45b7b9fa7c272da2e1d7
5	3	['web', 'email', 'mobile', 'social']	7	7	discount	2298d6c36e964ae4a3e7e9706d1fb8c2
6	2	['web', 'email', 'mobile', 'social']	10	10	discount	fafdcd668e3743c1bb461111dcafc2a4
7		['email', 'mobile', 'social']		3	informational	5a8bc65990b245e5a138643cd4eb9837
8	5	['web', 'email', 'mobile', 'social']	5	5	bogo	f19421c1d4aa40978ebb69ca19b0e20d
9	2	['web', 'email', 'mobile']	10	7	discount	2906b810c7d4411798c6938adc9daaa5


CREATE TABLE portfolio (
  "unnamed_0" BIGINT,
  "reward" BIGINT,
  "channels" VARCHAR,
  "difficulty" BIGINT,
  "duration" BIGINT,
  "offer_type" VARCHAR,
  "id" VARCHAR
);