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
115	2023-11-26	CUST115	Male	51	Clothing	3	500	1,500
116	2023-08-23	CUST116	Female	23	Clothing	1	30	30
117	2023-03-15	CUST117	Male	19	Electronics	2	500	1,000
118	2023-05-16	CUST118	Female	30	Electronics	4	500	2,000
119	2023-03-13	CUST119	Female	60	Clothing	3	50	150
120	2023-05-07	CUST120	Male	60	Beauty	1	50	50
121	2023-10-15	CUST121	Female	28	Electronics	4	50	200
122	2023-10-03	CUST122	Male	64	Electronics	4	30	120
123	2023-05-15	CUST123	Female	40	Electronics	2	30	60
124	2023-10-27	CUST124	Male	33	Clothing	4	500	2,000
125	2023-08-08	CUST125	Male	48	Clothing	2	50	100
126	2023-10-26	CUST126	Female	28	Clothing	3	30	90
127	2023-07-24	CUST127	Female	33	Clothing	2	25	50
128	2023-07-05	CUST128	Male	25	Beauty	1	500	500
129	2023-04-23	CUST129	Female	21	Beauty	2	300	600
130	2023-03-12	CUST130	Female	57	Clothing	1	500	500
131	2023-09-18	CUST131	Female	21	Beauty	2	300	600
132	2023-09-10	CUST132	Male	42	Electronics	4	50	200
133	2023-02-16	CUST133	Male	20	Electronics	3	300	900
134	2023-01-25	CUST134	Male	49	Electronics	1	50	50
135	2023-02-26	CUST135	Male	20	Clothing	2	25	50
136	2023-03-20	CUST136	Male	44	Electronics	2	300	600
137	2023-11-18	CUST137	Male	46	Beauty	2	500	1,000
138	2023-03-23	CUST138	Male	49	Clothing	4	50	200
139	2023-12-15	CUST139	Male	36	Beauty	4	500	2,000
140	2023-08-05	CUST140	Male	38	Electronics	1	30	30
141	2023-11-02	CUST141	Female	22	Electronics	1	50	50
142	2023-02-02	CUST142	Male	35	Electronics	4	300	1,200
143	2023-07-17	CUST143	Female	45	Clothing	1	50	50
144	2023-07-15	CUST144	Female	59	Beauty	3	500	1,500
145	2023-11-02	CUST145	Female	39	Clothing	3	25	75
146	2023-08-28	CUST146	Male	38	Clothing	4	50	200
147	2023-09-28	CUST147	Male	23	Electronics	1	300	300
148	2023-05-09	CUST148	Male	18	Clothing	2	30	60
149	2023-10-11	CUST149	Male	22	Clothing	3	25	75
150	2023-01-06	CUST150	Female	58	Electronics	4	30	120
151	2023-12-15	CUST151	Male	29	Clothing	1	50	50
152	2023-02-28	CUST152	Male	43	Electronics	4	500	2,000
153	2023-12-16	CUST153	Male	63	Electronics	2	500	1,000
154	2023-10-02	CUST154	Male	51	Electronics	3	300	900
155	2023-05-17	CUST155	Male	31	Electronics	4	500	2,000
156	2023-11-25	CUST156	Female	43	Clothing	4	25	100
157	2023-06-24	CUST157	Male	62	Electronics	4	500	2,000
158	2023-02-27	CUST158	Female	44	Electronics	2	300	600
159	2023-05-31	CUST159	Male	26	Clothing	4	50	200
160	2023-08-11	CUST160	Female	43	Clothing	2	50	100
161	2023-03-22	CUST161	Male	64	Beauty	2	500	1,000
162	2023-08-21	CUST162	Male	39	Clothing	2	30	60
163	2023-01-02	CUST163	Female	64	Clothing	3	50	150
164	2023-05-15	CUST164	Female	47	Beauty	3	500	1,500
165	2023-09-14	CUST165	Female	60	Clothing	4	300	1,200
166	2023-04-02	CUST166	Male	34	Clothing	4	500	2,000
167	2023-09-17	CUST167	Female	43	Clothing	3	50	150
168	2023-02-24	CUST168	Male	53	Clothing	1	300	300
169	2023-11-17	CUST169	Male	18	Beauty	3	500	1,500
170	2023-06-02	CUST170	Female	25	Clothing	2	25	50
171	2023-11-24	CUST171	Female	52	Clothing	3	300	900
172	2023-09-17	CUST172	Male	32	Beauty	2	25	50
173	2023-11-08	CUST173	Male	64	Electronics	4	30	120
174	2023-04-12	CUST174	Female	39	Beauty	1	300	300
175	2023-03-20	CUST175	Female	31	Electronics	4	25	100
176	2023-07-11	CUST176	Female	43	Beauty	2	50	100
177	2023-03-24	CUST177	Male	45	Beauty	2	50	100
178	2023-10-04	CUST178	Male	40	Clothing	2	30	60
179	2023-09-29	CUST179	Male	31	Electronics	1	300	300
180	2023-01-01	CUST180	Male	41	Clothing	3	300	900
181	2023-11-03	CUST181	Male	19	Electronics	4	300	1,200
182	2023-06-15	CUST182	Male	62	Beauty	4	30	120
183	2023-09-08	CUST183	Female	43	Beauty	3	300	900
184	2023-01-10	CUST184	Male	31	Electronics	4	50	200
185	2023-02-27	CUST185	Male	24	Clothing	1	25	25
186	2023-07-05	CUST186	Male	20	Clothing	4	50	200
187	2023-06-07	CUST187	Female	64	Clothing	2	50	100
188	2023-05-03	CUST188	Male	40	Clothing	3	25	75
189	2023-01-30	CUST189	Male	63	Beauty	1	50	50
190	2023-05-04	CUST190	Female	60	Beauty	3	30	90
191	2023-10-18	CUST191	Male	64	Beauty	1	25	25
192	2023-02-10	CUST192	Male	62	Beauty	2	50	100
193	2023-02-13	CUST193	Male	35	Beauty	3	500	1,500
194	2023-09-06	CUST194	Male	55	Clothing	4	50	200
195	2023-02-05	CUST195	Male	52	Clothing	1	30	30
196	2023-09-30	CUST196	Female	32	Clothing	3	300	900
197	2023-03-06	CUST197	Female	42	Clothing	4	50	200
198	2023-03-07	CUST198	Female	54	Beauty	3	300	900
199	2023-12-04	CUST199	Male	45	Beauty	3	500	1,500
200	2023-09-01	CUST200	Male	27	Beauty	3	50	150
201	2023-10-09	CUST201	Male	56	Electronics	1	25	25
202	2023-03-26	CUST202	Female	34	Clothing	4	300	1,200
203	2023-05-16	CUST203	Male	56	Clothing	2	500	1,000
204	2023-09-28	CUST204	Male	39	Beauty	1	25	25
205	2023-11-07	CUST205	Female	43	Clothing	1	25	25
206	2023-08-05	CUST206	Male	61	Clothing	1	25	25
207	2023-04-19	CUST207	Female	42	Beauty	2	25	50
208	2023-10-04	CUST208	Female	34	Electronics	4	50	200
209	2023-12-20	CUST209	Female	30	Electronics	4	50	200
210	2023-04-13	CUST210	Male	37	Electronics	4	50	200
211	2024-01-01	CUST211	Male	42	Beauty	3	500	1,500
212	2023-06-09	CUST212	Male	21	Clothing	3	500	1,500
213	2023-07-24	CUST213	Male	27	Beauty	3	500	1,500
214	2023-12-10	CUST214	Male	20	Beauty	2	30	60

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