Penguin5681 · April 7, 2026 10:04
diff --git a/customer_data.csv b/customer_data.csv
customer_id	age	gender	annual_income	spending_score	purchase_frequency	Last_purchase_days	city
1	22	Female	32000	81	14	7	New York
2	35	Male	54000	43	9	18	Los Angeles
3	28	Female	61000	67	11	12	Chicago
4	41	Male	78000	25	6	45	Houston
5	19	Female	25000	89	18	3	Phoenix
6	33	Male	47000	52	10	21	Philadelphia
7		Female	39000	74	13	9	San Antonio
8	48	Male	92000	18	4	60	San Diego
9	30	Female	68000	61	12	15	Dallas
10		Male	36000	77	15	8	San Jose
11	52	Female	105000	22	3	72	Austin
12	37	Male	59000	48	8	24	Jacksonville
13	29	Female	72000	69	12	11	Fort Worth
14		Male	84000	31	5	39	Columbus
15	21	Female	28000	92	20	2	Charlotte
16	34	Male	51000	55	10	17	San Francisco
17	27	Female	43000	63	11	14	Indianapolis
18	39	Male	76000	36	7	28	Seattle
19	23	Female	34000	85	16	5	Denver
20	50	Male	98000	27	4	54	Washington
21	31	Female	65000	58	10	16	Boston
22	42	Male	87000	41	6	33	El Paso
23	25	Female	41000	71	13	10	Detroit
24	46	Male	93000	29	4	48	Nashville
25	38	Female	71000	60	11	13	Memphis
26	20	Male	30000	88	19	4	Portland
27	55	Female	112000	19	2	80	Las Vegas
28	32	Male	56000	47	9	22	Louisville
29	44	Female	89000	33	5	37	Baltimore
30	27	Male	45000	76	14	8	Milwaukee
31	36	Female	62000	57	10	19	Albuquerque
32	49	Male	101000	24	3	68	Tucson
33	24	Female	37000	83	17	6	Fresno
34	40	Male	81000	38	6	31	Sacramento
35	29	Female	69000	66	12	12	Kansas City
36	53	Male	97000	21	4	77	Atlanta
37	22	Female	29000	90	18	3	Miami
38	43	Male	86000	35	5	42	Colorado Springs
39	33	Female	58000	54	9	20	Raleigh
40	47	Male	94000	28	4	50	Omaha
No results found