Customer Spending Dataset

"Customer Dataset for Analysis and Prediction"

@kaggle.goyaladi_customer_spending_dataset

Table List

1 table(35.01 KB)

Customer Data

@kaggle.goyaladi_customer_spending_dataset.customer_data

35.01 KB
1000 rows
8 columns

name Name	age Age	gender Gender	education Education	income Income	country Country	purchase_frequency Purchase Frequency	spending Spending
Teresa Williams MD	42	Female	High School	53936	Slovenia	0.9	13227.12
Christine Myers	49	Female	Master	82468	Aruba	0.6	12674.04
Dwayne Moreno	55	Male	Bachelor	56941	Cyprus	0.3	5354.115
Amy Norton	24	Female	Bachelor	60651	Palau	0.2	2606.51
Tonya Adams	64	Male	Master	81884	Zambia	0.9	18984.78
Charles Smith	24	Female	PhD	61444	Libyan Arab Jamahiriya	1	18072.2
Misty Moody	58	Male	PhD	78024	Italy	0.9	21511.08
Brian Kent	34	Male	High School	32225	Pakistan	0.7	6727.875
Stacie Ray	63	Male	PhD	63664	Venezuela	0.4	9273.28
Brian Townsend	64	Female	High School	45043	San Marino	1	16252.15


CREATE TABLE customer_data (
  "name" VARCHAR,
  "age" BIGINT,
  "gender" VARCHAR,
  "education" VARCHAR,
  "income" BIGINT,
  "country" VARCHAR,
  "purchase_frequency" DOUBLE,
  "spending" DOUBLE
);