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
Female	Yes	47	Yes	Entertainment	3	Average	3	Cat_6	A	856
Male	Yes	78	No	Lawyer	1	High	2	Cat_2	A	858
Male	Yes	51	Yes	Entertainment	0	Average	4	Cat_7	C	859
Male	Yes	39	Yes	Entertainment	4	Average	4	Cat_6	A	861
Male	Yes	40	Yes	Artist	8	Average	2	Cat_6	C	862
Female	No	26	Yes	Engineer	1	Low	3	Cat_6	A	863
Female	No	20	No	Marketing	null	Low	4	Cat_6	D	864
Female	Yes	86	Yes	Lawyer	1	High	2	Cat_6	C	866
Female	No	33	No	Engineer	0	Low	5	Cat_3	D	867
Male	Yes	40	Yes	Artist	13	High	1	Cat_4	D	868
Male	No	22	No	Healthcare	0	Low	2	Cat_6	D	869
Female	No	41	Yes	Artist	1	Low	1	Cat_4	D	872
Female	No	27	Yes	Artist	1	Low	5	Cat_6	C	875
Male	Yes	41	Yes	Artist	4	Average	3	Cat_6	B	876
Female	Yes	28	Yes	Doctor	1	Average	2	Cat_4	A	878
Female	Yes	52	Yes	Artist	1	Average	2	Cat_6	C	881
Male	No	25	Yes	Healthcare	8	Low	4	Cat_6	D	884
Male	Yes	47	No	Engineer	1	Average	3	Cat_6	C	885
Female	Yes	46	Yes	Artist	0	Average	2	Cat_1	C	886
Female	No	20	No	Engineer	8	Low	5	Cat_4	D	887
Male	No	21	No	Doctor	9	Low	3	Cat_7	D	888
Male	Yes	66	No	Artist	2	High	3	Cat_6	C	889
Female	Yes	56	Yes	Artist	null	Low	1	Cat_6	B	890
Male	Yes	56	Yes	Artist	0	Average	4	Cat_6	C	892
Female	No	46	Yes	Artist	0	Low	2	Cat_6	B	893
Female	No	23	No	Healthcare	1	Low	3	Cat_6	D	894
Male	Yes	49	Yes	Artist	9	Average	2	Cat_6	C	896
Male	No	18	No	Healthcare	5	Low	4	Cat_4	D	897
Male	No	20	No	Entertainment	5	Low	2	Cat_6	D	898
Male	Yes	29	No	Healthcare	null	High	2	Cat_3	D	900
Male	Yes	50	Yes	Artist	1	Low	2	Cat_6	C	901
Female	No	21	No	Healthcare	1	Low	7	Cat_2	D	902
Male	Yes	62	No	Executive	9	High	3	Cat_6	B	903
Male	Yes	38	No	Marketing	0	High	4	Cat_7	B	904
Male	No	50	No	Marketing	1	Low	2	Cat_7	C	905
Male	Yes	36	Yes	Entertainment	4	Average	2	Cat_2	B	906
Female	Yes	49	No	Engineer	6	Low	2	Cat_6	A	907
Male	No	28	Yes	Entertainment	null	Low	3	Cat_4	D	910
Male	Yes	51	Yes	Executive	3	High	5	Cat_6	C	912
Male	No	43	No	Executive	0	Low	5	Cat_6	A	914
Male	No	22	No	Healthcare	1	Low	3	Cat_6	D	915
Female	No	19	No	Healthcare	null	Low	null	Cat_3	D	916
Female	No	21	No	Healthcare	8	Low	2	Cat_6	D	917
Male	Yes	71	No	Executive	1	Average	2	Cat_6	C	918
Male	Yes	62	Yes	Doctor	5	Low	1	Cat_3	B	920
Male	Yes	27	Yes	Artist	1	Low	4	Cat_6	C	922
Female	Yes	47	No	Engineer	null	Average	5	Cat_4	B	923
Male	Yes	40	Yes	Artist	9	Low	2	Cat_6	C	927
Female	No	43	Yes	Engineer	9	Low	1	Cat_6	A	928
Female	Yes	51	Yes	Artist	null	Low	2	Cat_6	C	930
Male	Yes	36	Yes	Engineer	1	Average	3	Cat_4	B	932
Male	null	37	Yes	Artist	1	Average	3	Cat_3	A	933
Male	Yes	76	No	Executive	null	Low	7	Cat_4	D	934
Female	No	33	No	Doctor	null	Low	2	Cat_6	A	938
Male	No	59	Yes	Entertainment	1	Low	1	Cat_6	C	939
Female	No	39	Yes	Artist	9	Low	1	Cat_6	B	940
Male	Yes	53	Yes	Executive	1	High	4	Cat_4	B	941
Female	No	20	No	null	null	Low	2	Cat_6	D	942
Female	Yes	42	No	Engineer	0	Low	null	Cat_6	A	945
Female	Yes	42	Yes	Artist	0	Average	2	Cat_6	C	947
Female	No	33	No	Marketing	null	Low	5	Cat_4	D	948
Male	No	31	Yes	Healthcare	1	Low	4	Cat_6	D	949
Female	Yes	53	No	Homemaker	9	Low	1	Cat_6	A	950
Female	No	27	Yes	Healthcare	1	Low	7	Cat_2	A	951
Female	No	39	No	Engineer	0	Low	3	Cat_4	A	952
Male	No	35	Yes	Artist	null	Low	1	Cat_6	A	953
Female	No	30	Yes	Artist	9	Low	1	Cat_6	A	955
Female	No	32	Yes	Homemaker	10	Low	1	Cat_6	D	956
Male	No	26	Yes	Healthcare	1	Low	2	Cat_3	A	959
Male	No	25	No	Entertainment	0	Low	3	Cat_6	A	960
Male	Yes	42	Yes	Artist	0	Average	3	Cat_7	A	961
Female	null	58	No	Executive	1	Average	3	Cat_3	B	962
Male	Yes	38	No	Doctor	0	Average	5	Cat_6	A	963
Female	Yes	58	Yes	Engineer	0	Average	4	Cat_4	B	964
Male	Yes	62	Yes	Executive	0	High	3	Cat_6	C	966
Female	Yes	52	No	Engineer	6	Average	4	Cat_4	B	967
Male	null	31	No	Healthcare	1	Low	3	Cat_6	C	969
Male	Yes	51	Yes	Artist	null	High	3	Cat_6	A	972
Male	Yes	41	Yes	Artist	1	Low	2	Cat_6	A	973
Female	Yes	47	Yes	Marketing	1	Low	1	Cat_6	D	974
Male	Yes	47	null	Healthcare	null	Average	4	Cat_6	D	976
Male	Yes	58	Yes	Artist	1	Average	4	Cat_6	C	978
Male	No	22	No	Doctor	8	Low	3	Cat_6	D	979
Male	Yes	66	Yes	Executive	0	Low	1	Cat_6	B	984
Male	No	41	Yes	Entertainment	8	Low	2	Cat_6	A	986
Female	Yes	79	No	Lawyer	null	High	2	Cat_6	A	987
Male	Yes	42	Yes	Executive	9	High	6	Cat_7	B	988
Female	No	37	No	Artist	4	Low	2	Cat_6	C	990
Female	No	23	No	Engineer	11	Low	1	Cat_3	D	991
Male	Yes	33	No	Healthcare	8	Average	3	Cat_6	C	992
Female	Yes	43	No	Doctor	9	Low	1	Cat_2	A	993
Female	No	33	Yes	Homemaker	7	Low	3	Cat_2	C	994
Female	No	31	No	null	null	Low	1	Cat_7	C	998
Female	No	20	No	Marketing	1	Low	2	Cat_3	D	999
Female	No	61	Yes	Marketing	1	Low	1	Cat_6	D	1,001
Female	No	52	Yes	Artist	1	Low	3	Cat_6	C	1,002
Female	Yes	41	No	Engineer	8	Average	3	Cat_6	C	1,003
Male	Yes	55	No	Artist	0	Average	2	Cat_6	C	1,005
Male	Yes	65	Yes	Artist	5	High	2	Cat_6	A	1,007
Female	Yes	45	Yes	Engineer	0	High	5	Cat_6	C	1,011