Datasets:

FeatEng
/

Data

Dataset card Viewer Files Files and versions Community

Subset (103)

abisheksudarshan__customer-segmentation · 8.07k rows

Split (2)

train · 4.82k rows

Gender stringclasses 2 values	Ever_Married stringclasses 2 values	Age int64 18 89	Graduated stringclasses 2 values	Profession stringclasses 9 values	Work_Experience float64 0 14 ⌀	Spending_Score stringclasses 3 values	Family_Size float64 1 9 ⌀	Var_1 stringclasses 7 values	__FeatEng_target__ stringclasses 4 values	__index_level_0__ int64 1 8.06k
Male	Yes	45	Yes	Artist	0	Average	4	Cat_6	C	7,858
Male	Yes	23	No	Executive	1	High	9	Cat_6	A	7,860
Female	Yes	48	Yes	Artist	null	Average	3	Cat_4	A	7,861
Male	No	49	Yes	Artist	0	Low	1	Cat_6	B	7,862
Male	No	19	No	Healthcare	0	Low	5	Cat_6	D	7,864
Female	No	33	Yes	Healthcare	1	Low	5	Cat_6	C	7,865
Female	No	21	No	Healthcare	5	Low	5	Cat_3	D	7,866
Female	Yes	45	Yes	Artist	4	Low	1	Cat_6	C	7,867
Male	No	36	Yes	Artist	0	Low	null	Cat_6	A	7,868
Female	Yes	28	No	Homemaker	9	High	3	Cat_6	A	7,869
Male	No	19	No	Healthcare	1	Low	4	Cat_2	D	7,870
Male	Yes	67	Yes	Lawyer	0	Low	2	Cat_6	C	7,872
Female	No	27	No	Homemaker	8	Low	null	Cat_4	D	7,874
Male	Yes	67	Yes	Executive	1	High	3	Cat_6	C	7,875
Female	No	27	Yes	Artist	1	Low	6	Cat_6	C	7,876
Male	Yes	43	Yes	Entertainment	7	Low	2	Cat_6	A	7,877
Male	Yes	84	Yes	Entertainment	0	High	2	Cat_6	D	7,878
Female	Yes	48	No	Lawyer	1	High	2	Cat_6	D	7,879
Male	No	31	No	Healthcare	2	Low	2	Cat_5	A	7,883
Female	No	41	No	Healthcare	1	Low	2	Cat_1	C	7,884
Male	Yes	38	Yes	Entertainment	1	Average	2	Cat_6	C	7,885
Female	No	30	Yes	Engineer	0	Low	4	Cat_3	C	7,886
Female	No	26	No	Healthcare	10	Low	1	Cat_6	D	7,893
Male	No	25	No	Entertainment	5	Low	2	Cat_6	D	7,898
Male	No	27	No	Healthcare	0	Low	4	Cat_6	D	7,899
Male	Yes	59	Yes	Artist	1	Low	2	Cat_6	A	7,901
Male	Yes	66	Yes	Artist	0	Low	4	Cat_2	C	7,902
Female	Yes	29	Yes	Homemaker	0	High	2	Cat_3	A	7,904
Female	No	37	Yes	Healthcare	null	Low	1	Cat_6	D	7,905
Male	No	33	Yes	Healthcare	0	Low	2	Cat_6	C	7,906
Female	Yes	25	No	Engineer	null	Average	2	Cat_6	D	7,907
Female	No	25	No	Healthcare	0	Low	5	Cat_2	C	7,908
Female	Yes	60	No	Engineer	0	Low	2	Cat_3	A	7,911
Female	Yes	57	Yes	Doctor	1	Average	4	Cat_6	C	7,913
Female	No	85	Yes	Homemaker	4	Low	1	Cat_6	D	7,914
Female	Yes	60	Yes	Artist	1	Average	3	Cat_6	C	7,915
Male	Yes	43	No	Executive	1	Low	4	Cat_6	A	7,918
Male	Yes	47	Yes	Entertainment	1	Average	4	Cat_6	C	7,919
Male	No	26	No	Healthcare	null	Low	null	Cat_5	D	7,922
Male	Yes	35	No	null	1	Low	2	Cat_6	D	7,923
Female	Yes	35	Yes	Artist	0	High	2	Cat_7	C	7,924
Male	No	30	Yes	Artist	1	Low	1	Cat_6	A	7,925
Male	No	25	No	Marketing	0	Low	2	Cat_4	A	7,927
Female	Yes	46	Yes	Artist	1	Average	2	Cat_6	C	7,928
Female	No	27	No	Healthcare	0	Low	3	Cat_6	A	7,930
Male	null	60	Yes	Lawyer	1	High	1	Cat_6	D	7,931
Male	Yes	61	Yes	Entertainment	7	High	5	Cat_6	B	7,932
Male	No	43	Yes	Doctor	0	Low	null	Cat_6	D	7,937
Female	Yes	36	Yes	Artist	5	Low	2	Cat_4	B	7,938
Male	No	45	Yes	Artist	0	Low	4	Cat_6	A	7,939
Female	Yes	73	No	Lawyer	1	High	3	Cat_6	B	7,940
Female	Yes	83	Yes	Lawyer	1	Low	1	Cat_6	B	7,941
Female	No	33	Yes	Homemaker	8	Low	1	Cat_6	A	7,942
Female	No	33	Yes	Engineer	0	Low	6	Cat_6	D	7,943
Male	Yes	50	Yes	Artist	1	Average	4	Cat_2	C	7,945
Male	No	42	Yes	Artist	null	Low	1	Cat_6	A	7,946
Female	No	46	Yes	Engineer	0	Low	1	Cat_6	D	7,952
Male	Yes	36	Yes	Artist	0	Average	5	Cat_6	C	7,953
Female	Yes	42	No	Homemaker	8	Average	4	Cat_3	C	7,956
Male	Yes	43	Yes	Healthcare	7	High	2	Cat_6	A	7,958
Male	Yes	70	Yes	Artist	1	Average	2	Cat_6	C	7,960
Male	Yes	53	Yes	Executive	1	High	2	Cat_6	C	7,961
Male	No	18	No	Healthcare	0	Low	8	Cat_6	D	7,962
Male	Yes	49	Yes	Artist	3	Average	2	Cat_6	C	7,963
Female	No	29	Yes	Doctor	9	Low	5	Cat_3	B	7,967
Male	No	27	Yes	Entertainment	null	Low	2	Cat_6	A	7,968
Male	Yes	30	No	Engineer	1	Average	3	Cat_4	A	7,970
Male	Yes	37	No	Entertainment	11	Average	2	Cat_6	B	7,971
Male	Yes	59	Yes	Doctor	0	Average	2	Cat_4	C	7,973
Male	Yes	60	Yes	Artist	1	Average	3	Cat_6	C	7,974
Male	Yes	33	No	Homemaker	9	Average	2	Cat_6	A	7,977
Female	No	26	Yes	Healthcare	0	Low	null	Cat_6	D	7,979
Female	Yes	45	Yes	Artist	1	Average	2	Cat_6	B	7,980
Male	Yes	38	Yes	Entertainment	null	Average	4	Cat_3	D	7,981
Female	Yes	73	No	Lawyer	1	Low	2	Cat_6	B	7,983
Male	No	37	Yes	Artist	2	Low	1	Cat_6	B	7,985
Female	No	43	Yes	Healthcare	0	Low	6	Cat_3	A	7,986
Male	Yes	39	Yes	Artist	0	Average	2	Cat_6	B	7,989
Female	No	38	Yes	Artist	9	Low	1	Cat_3	A	7,990
Male	No	22	No	Healthcare	0	Low	5	Cat_2	D	7,992
Male	No	18	No	Doctor	4	Low	2	Cat_6	A	7,993
Male	Yes	78	Yes	Lawyer	0	Low	2	Cat_6	C	7,995
Female	Yes	25	No	Engineer	7	Average	2	Cat_4	D	7,996
Male	Yes	45	No	Artist	3	High	4	Cat_6	C	7,997
Male	No	33	No	Doctor	1	Low	4	Cat_6	D	7,998
Female	Yes	40	No	Entertainment	0	Low	4	Cat_4	D	7,999
Male	Yes	86	No	Lawyer	13	Low	1	Cat_6	A	8,004
Female	No	51	Yes	Entertainment	1	Low	1	Cat_6	A	8,006
Female	No	30	Yes	Artist	9	Low	5	Cat_6	A	8,009
Female	Yes	40	Yes	Artist	9	Average	2	Cat_6	B	8,011
Female	Yes	81	No	Lawyer	null	High	2	Cat_6	D	8,013
Female	No	29	No	Engineer	0	Low	5	Cat_4	A	8,015
Female	No	43	Yes	Healthcare	8	Low	1	null	D	8,016
Female	Yes	47	Yes	Artist	6	Low	2	Cat_6	B	8,017
Female	Yes	43	Yes	Artist	8	Average	2	Cat_6	B	8,020
Female	No	48	Yes	Lawyer	4	Low	1	Cat_6	A	8,023
Male	Yes	52	Yes	Artist	1	Low	4	Cat_6	C	8,024
Male	No	30	Yes	Artist	2	Low	2	Cat_6	A	8,025
Female	Yes	37	Yes	Artist	1	High	2	Cat_7	A	8,027
Male	No	20	No	Healthcare	0	Low	4	Cat_6	D	8,028