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	49	Yes	Entertainment	7	Average	4	Cat_6	C	1,184
Female	Yes	49	Yes	Artist	0	High	4	null	B	1,185
Male	Yes	58	No	Executive	12	High	2	Cat_6	C	1,187
Male	Yes	46	Yes	Artist	1	Average	3	Cat_6	C	1,188
Female	Yes	27	No	Entertainment	6	High	2	Cat_6	B	1,190
Female	Yes	50	Yes	Healthcare	1	Low	3	Cat_6	D	1,191
Male	No	28	No	Doctor	4	Low	3	Cat_6	C	1,192
Male	No	20	No	Healthcare	null	Low	5	Cat_6	D	1,193
Female	No	31	No	Healthcare	4	Low	3	Cat_6	A	1,195
Female	No	87	No	Lawyer	1	Low	2	Cat_6	A	1,196
Female	Yes	81	No	null	null	High	2	Cat_6	B	1,197
Male	Yes	26	No	Entertainment	0	High	2	Cat_6	D	1,198
Male	Yes	62	Yes	Artist	1	Average	3	Cat_3	A	1,199
Male	Yes	59	No	Entertainment	1	Low	2	Cat_6	A	1,200
Male	No	39	Yes	Doctor	1	Low	1	Cat_6	A	1,201
Female	No	42	Yes	Marketing	10	Low	3	Cat_6	D	1,202
Male	Yes	39	Yes	Artist	0	Low	2	Cat_6	C	1,205
Male	Yes	43	Yes	Artist	null	Average	4	Cat_6	B	1,206
Male	Yes	71	Yes	Entertainment	0	Low	2	Cat_6	A	1,207
Male	Yes	67	Yes	Lawyer	0	High	2	Cat_6	B	1,208
Male	Yes	85	No	Lawyer	0	Low	1	Cat_6	D	1,212
Female	No	49	Yes	Artist	4	Low	1	Cat_6	A	1,213
Female	No	28	null	Engineer	0	Low	3	Cat_3	D	1,214
Female	Yes	63	No	Artist	1	Average	4	Cat_6	C	1,215
Female	Yes	80	Yes	Lawyer	null	High	2	Cat_6	A	1,216
Female	Yes	36	Yes	Artist	1	Average	3	Cat_3	B	1,221
Male	Yes	46	Yes	Artist	2	Average	4	Cat_2	C	1,222
Male	No	25	Yes	Artist	7	Low	1	Cat_2	A	1,223
Male	No	29	No	Entertainment	1	Low	5	Cat_6	D	1,224
Male	Yes	38	No	Entertainment	1	Low	3	Cat_4	A	1,226
Male	Yes	46	Yes	Artist	0	Low	2	Cat_6	A	1,227
Male	Yes	41	No	Entertainment	2	Average	5	Cat_6	A	1,228
Female	Yes	36	Yes	Executive	null	High	null	Cat_3	A	1,229
Female	Yes	74	No	Lawyer	1	High	2	Cat_6	A	1,233
Male	No	26	No	Healthcare	0	Low	null	Cat_6	D	1,235
Female	Yes	50	Yes	Artist	0	Average	2	Cat_3	C	1,236
Male	Yes	72	No	Executive	0	High	2	Cat_6	B	1,237
Female	Yes	37	Yes	Artist	5	Average	2	Cat_6	B	1,238
Female	Yes	69	No	Engineer	9	Low	3	Cat_6	A	1,240
Male	Yes	38	No	Artist	1	Low	2	Cat_6	B	1,242
Female	Yes	31	No	Entertainment	0	Average	null	Cat_4	D	1,244
Female	No	33	Yes	Healthcare	1	Low	1	Cat_6	D	1,245
Male	No	33	No	Doctor	2	Low	4	Cat_6	A	1,249
Male	Yes	46	Yes	Artist	1	Average	3	Cat_3	C	1,250
Female	No	19	Yes	Artist	0	Low	2	Cat_6	A	1,252
Male	Yes	50	Yes	Doctor	null	Low	3	Cat_6	B	1,253
Male	Yes	43	Yes	Entertainment	null	Low	4	Cat_3	A	1,254
Female	No	35	No	Engineer	1	Low	1	Cat_4	A	1,255
Male	Yes	43	No	Entertainment	null	Average	3	Cat_4	D	1,256
Female	No	29	No	Entertainment	0	Low	2	Cat_3	B	1,257
Female	No	33	No	Doctor	0	Low	1	Cat_3	D	1,258
Male	No	33	No	Marketing	1	Low	6	Cat_4	D	1,261
Male	No	32	No	Doctor	2	Low	2	Cat_6	D	1,262
Female	Yes	69	Yes	Lawyer	0	High	2	Cat_6	C	1,263
Male	No	38	Yes	Artist	1	Low	1	Cat_6	D	1,264
Male	Yes	27	Yes	Homemaker	9	Low	null	Cat_6	D	1,265
Male	No	42	Yes	Artist	null	Low	1	Cat_4	A	1,266
Male	No	29	No	Artist	0	Low	5	Cat_4	A	1,269
Female	Yes	51	Yes	Artist	6	Average	3	Cat_6	C	1,270
Female	Yes	56	Yes	Artist	0	Low	1	Cat_6	B	1,274
Female	Yes	56	Yes	Executive	null	High	4	Cat_1	A	1,275
Male	Yes	47	Yes	Artist	0	Average	4	Cat_3	C	1,277
Female	Yes	52	No	Engineer	9	Average	5	Cat_4	B	1,279
Female	Yes	49	Yes	Engineer	1	Average	2	Cat_6	A	1,280
Male	No	41	Yes	Entertainment	1	Low	4	Cat_6	A	1,282
Female	Yes	72	Yes	Lawyer	1	High	2	Cat_6	A	1,284
Male	No	29	Yes	Healthcare	0	Low	4	Cat_6	A	1,287
Male	No	23	No	Healthcare	5	Low	5	Cat_2	D	1,288
Female	Yes	40	Yes	Entertainment	7	Average	2	Cat_3	B	1,291
Male	No	33	No	Marketing	0	Low	3	Cat_3	D	1,294
Female	Yes	40	Yes	Artist	0	Low	2	Cat_6	B	1,296
Female	No	41	Yes	Artist	8	Low	3	Cat_6	A	1,298
Female	Yes	41	Yes	Engineer	1	Average	4	Cat_6	C	1,302
Female	No	38	Yes	Healthcare	0	Low	1	Cat_2	C	1,303
Male	Yes	30	Yes	Healthcare	1	High	2	Cat_4	B	1,304
Male	Yes	59	No	Artist	2	Average	2	Cat_4	C	1,305
Female	No	22	No	Healthcare	1	Low	2	Cat_6	D	1,306
Male	No	27	No	Healthcare	1	Low	4	Cat_6	D	1,307
Female	No	33	Yes	Artist	0	Low	3	Cat_3	A	1,308
Male	Yes	50	Yes	Entertainment	0	Average	4	Cat_6	B	1,309
Female	Yes	62	No	Engineer	8	High	2	Cat_4	A	1,310
Female	Yes	73	Yes	Lawyer	7	Low	2	Cat_6	A	1,311
Male	Yes	66	Yes	Executive	3	High	2	Cat_6	C	1,315
Male	Yes	51	Yes	Doctor	1	Average	4	Cat_6	B	1,316
Male	Yes	63	Yes	Artist	1	Average	4	Cat_6	A	1,317
Female	Yes	39	Yes	Engineer	8	Average	2	Cat_6	C	1,318
Female	Yes	42	No	Marketing	0	Low	3	Cat_6	B	1,319
Female	No	36	Yes	Artist	1	Low	1	Cat_6	A	1,320
Male	Yes	30	Yes	Entertainment	null	Average	3	Cat_6	C	1,321
Male	Yes	39	Yes	Artist	9	Average	2	Cat_3	B	1,322
Female	No	47	Yes	Entertainment	1	Low	1	Cat_6	A	1,324
Male	Yes	45	Yes	Artist	7	Average	5	Cat_6	B	1,326
Male	Yes	39	No	Executive	null	High	4	Cat_6	B	1,327
Female	Yes	41	No	Engineer	0	Low	2	Cat_4	A	1,329
Female	No	40	No	Entertainment	12	Low	4	Cat_6	A	1,330
Female	No	26	No	Healthcare	3	Low	null	Cat_6	D	1,332
Male	Yes	36	No	Engineer	0	Low	1	Cat_6	D	1,334
Male	No	22	No	Healthcare	1	Low	5	Cat_6	D	1,335
Male	No	47	Yes	Artist	0	Low	1	Cat_6	B	1,338
Female	No	36	No	Engineer	null	Low	2	Cat_6	D	1,340