Split (1)

train · 986 rows

Transaction ID int64	Date string	Customer ID string	Gender string	Age int64	Product Category string	Quantity int64	Price per Unit int64	Total Amount int64
615	2023-12-23	CUST615	Female	61	Clothing	4	25	100
616	2023-09-23	CUST616	Male	41	Clothing	2	50	100
617	2023-08-26	CUST617	Male	34	Electronics	1	30	30
618	2023-01-26	CUST618	Female	27	Beauty	1	50	50
619	2023-10-13	CUST619	Male	47	Electronics	4	25	100
620	2023-05-08	CUST620	Male	63	Electronics	3	25	75
621	2023-03-04	CUST621	Female	40	Beauty	2	500	1,000
622	2023-08-22	CUST622	Female	49	Beauty	3	25	75
623	2023-03-10	CUST623	Male	34	Clothing	3	50	150
624	2023-08-26	CUST624	Female	34	Beauty	3	300	900
625	2023-12-08	CUST625	Male	31	Clothing	1	300	300
626	2023-09-29	CUST626	Female	26	Clothing	4	500	2,000
627	2023-10-14	CUST627	Male	57	Clothing	1	50	50
628	2023-11-01	CUST628	Female	19	Beauty	4	50	200
629	2023-06-12	CUST629	Male	62	Electronics	2	25	50
630	2023-08-15	CUST630	Male	42	Clothing	2	50	100
631	2023-11-10	CUST631	Male	56	Electronics	3	30	90
632	2023-09-16	CUST632	Female	26	Electronics	4	25	100
633	2023-08-07	CUST633	Male	39	Beauty	4	30	120
634	2023-10-08	CUST634	Male	60	Electronics	4	500	2,000
635	2023-08-17	CUST635	Female	63	Electronics	3	300	900
636	2023-03-23	CUST636	Female	21	Beauty	3	500	1,500
637	2023-09-01	CUST637	Male	43	Clothing	2	300	600
638	2023-08-19	CUST638	Male	46	Electronics	1	500	500
639	2023-05-13	CUST639	Female	62	Beauty	4	50	200
640	2023-05-07	CUST640	Female	51	Electronics	4	30	120
641	2023-11-23	CUST641	Female	40	Electronics	1	300	300
642	2023-05-22	CUST642	Female	54	Clothing	4	25	100
643	2023-09-24	CUST643	Female	28	Electronics	3	30	90
644	2023-09-06	CUST644	Male	23	Beauty	3	25	75
645	2023-11-17	CUST645	Female	35	Electronics	4	30	120
646	2023-05-03	CUST646	Male	38	Clothing	3	30	90
647	2023-05-21	CUST647	Male	59	Clothing	3	500	1,500
648	2023-08-14	CUST648	Male	53	Beauty	4	300	1,200
649	2023-02-09	CUST649	Female	58	Clothing	2	300	600
650	2024-01-01	CUST650	Male	55	Electronics	1	30	30
651	2023-05-27	CUST651	Male	51	Clothing	3	50	150
652	2023-05-01	CUST652	Female	34	Beauty	2	50	100
653	2023-05-20	CUST653	Male	54	Clothing	3	25	75
654	2023-06-21	CUST654	Male	42	Clothing	3	25	75
655	2023-06-13	CUST655	Female	55	Clothing	1	500	500
656	2023-10-04	CUST656	Male	29	Beauty	3	30	90
657	2023-02-11	CUST657	Male	40	Clothing	1	25	25
658	2023-03-12	CUST658	Male	59	Clothing	1	25	25
659	2023-03-19	CUST659	Female	39	Electronics	1	30	30
660	2023-04-29	CUST660	Female	38	Beauty	2	500	1,000
661	2023-07-16	CUST661	Female	44	Clothing	4	25	100
662	2023-12-22	CUST662	Male	48	Beauty	2	500	1,000
663	2023-03-20	CUST663	Male	23	Clothing	4	300	1,200
664	2023-12-28	CUST664	Female	44	Clothing	4	500	2,000
665	2023-04-20	CUST665	Male	57	Clothing	1	50	50
666	2023-02-02	CUST666	Male	51	Electronics	3	50	150
667	2023-08-01	CUST667	Female	29	Electronics	1	500	500
668	2023-07-28	CUST668	Female	62	Electronics	3	50	150
669	2023-06-19	CUST669	Male	24	Beauty	4	300	1,200
670	2023-10-05	CUST670	Male	27	Beauty	1	30	30
671	2023-08-27	CUST671	Male	62	Electronics	3	50	150
672	2023-08-01	CUST672	Female	34	Beauty	2	50	100
673	2023-02-01	CUST673	Female	43	Clothing	3	500	1,500
674	2023-04-16	CUST674	Female	38	Clothing	1	300	300
675	2023-08-04	CUST675	Female	45	Clothing	2	30	60
676	2023-07-19	CUST676	Male	63	Electronics	3	500	1,500
677	2023-10-27	CUST677	Female	19	Beauty	3	500	1,500
678	2023-12-23	CUST678	Female	60	Electronics	3	300	900
679	2023-01-11	CUST679	Female	18	Beauty	3	30	90
680	2023-10-22	CUST680	Female	53	Clothing	3	300	900
681	2023-07-14	CUST681	Female	43	Electronics	2	30	60
682	2023-09-02	CUST682	Male	46	Beauty	4	300	1,200
683	2023-01-04	CUST683	Male	38	Beauty	2	500	1,000
684	2023-06-30	CUST684	Female	28	Clothing	2	500	1,000
685	2023-06-02	CUST685	Male	57	Electronics	2	25	50
686	2023-07-19	CUST686	Female	28	Electronics	4	50	200
687	2023-08-03	CUST687	Female	53	Electronics	1	300	300
688	2023-10-03	CUST688	Male	56	Clothing	4	25	100
689	2023-10-07	CUST689	Male	57	Electronics	2	50	100
690	2023-11-05	CUST690	Female	52	Clothing	3	300	900
691	2023-04-23	CUST691	Female	51	Clothing	3	30	90
692	2023-09-07	CUST692	Female	64	Clothing	2	50	100
693	2023-04-23	CUST693	Male	41	Beauty	3	500	1,500
694	2023-05-20	CUST694	Female	39	Electronics	2	25	50
695	2023-08-12	CUST695	Female	22	Electronics	3	50	150
696	2023-09-06	CUST696	Female	50	Clothing	4	50	200
697	2023-01-15	CUST697	Male	53	Clothing	1	500	500
698	2023-07-19	CUST698	Female	64	Electronics	1	300	300
699	2023-06-22	CUST699	Female	37	Clothing	4	30	120
700	2023-12-09	CUST700	Male	36	Electronics	4	500	2,000
701	2023-12-14	CUST701	Female	52	Beauty	2	30	60
702	2023-07-27	CUST702	Female	60	Clothing	2	300	600
703	2023-03-26	CUST703	Male	34	Electronics	2	50	100
704	2023-08-28	CUST704	Female	62	Clothing	3	30	90
705	2023-03-07	CUST705	Male	60	Electronics	2	25	50
706	2023-11-15	CUST706	Male	51	Electronics	4	25	100
707	2023-10-01	CUST707	Female	26	Clothing	1	500	500
708	2023-01-14	CUST708	Female	43	Beauty	3	300	900
709	2023-07-21	CUST709	Female	19	Electronics	2	500	1,000
710	2023-10-31	CUST710	Female	26	Electronics	3	500	1,500
711	2023-10-16	CUST711	Male	26	Electronics	3	500	1,500
712	2023-12-06	CUST712	Female	57	Beauty	2	25	50
713	2023-01-14	CUST713	Male	34	Beauty	3	25	75
714	2023-02-12	CUST714	Female	18	Clothing	1	500	500

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