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SQL - Retail Sales Analysis_utf .csv
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2001 lines (2001 loc) · 124 KB
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"transactions_id sale_date sale_date sale_time customer_id gender age category quantiy price_per_unit cogs total_sale"
"180 05/11/2022 05/11/2022 10:47:00 117 Male 41 Clothing 3 300 129 900"
"522 09/07/2022 11:00:00 52 Male 46 Beauty 3 500 145 1500"
"559 12/12/2022 10:48:00 5 Female 40 Clothing 4 300 84 1200"
"1180 06/01/2022 8:53:00 85 Male 41 Clothing 3 300 129 900"
"1522 14/11/2022 8:35:00 48 Male 46 Beauty 3 500 235 1500"
"1559 20/08/2022 7:40:00 49 Female 40 Clothing 4 300 144 1200"
"163 31/10/2022 9:38:00 144 Female 64 Clothing 3 50 23 150"
"303 22/04/2022 11:09:00 54 Male 19 Electronics 3 30 14.7 90"
"421 08/04/2022 8:43:00 66 Female 37 Clothing 3 500 235 1500"
"979 18/05/2022 10:18:00 6 Female 19 Beauty 1 25 10.5 25"
"1163 04/05/2022 10:52:00 120 Female 64 Clothing 3 50 27 150"
"1303 19/03/2022 8:59:00 58 Male 19 Electronics 3 30 15 90"
"1421 17/01/2022 7:07:00 59 Female 37 Clothing 3 500 185 1500"
"1979 17/08/2022 11:34:00 102 Female 19 Beauty 1 25 7.75 25"
"610 18/12/2022 6:56:00 137 Female 26 Beauty 2 300 93 600"
"1610 23/11/2022 10:18:00 1 Female 26 Beauty 2 300 102 600"
"32 16/07/2022 9:11:00 150 Male 30 Beauty 3 30 8.4 90"
"231 09/07/2022 7:02:00 50 Female 23 Clothing 3 50 26.5 150"
"683 06/03/2022 10:22:00 82 Male 38 Beauty 2 500 175 1000"
"1032 01/04/2022 8:15:00 1 Male 30 Beauty 3 30 10.5 90"
"1231 29/01/2022 7:05:00 12 Female 23 Clothing 3 50 23 150"
"1683 04/05/2022 7:19:00 98 Male 38 Beauty 2 500 220 1000"
"367 30/12/2022 7:03:00 123 Female 57 Electronics 1 50 18 50"
"391 25/03/2022 7:37:00 68 Male 19 Beauty 2 25 6.25 50"
"432 10/03/2022 11:31:00 17 Female Electronics 2 500 190 1000"
"1367 15/04/2022 11:38:00 16 Female Electronics 1 50 15.5 50"
"1391 01/03/2022 11:29:00 130 Male Beauty 2 25 9.25 50"
"1432 25/12/2022 6:24:00 67 Female Electronics 2 500 245 1000"
"150 13/04/2022 8:25:00 89 Female Electronics 4 30 16.2 120"
"845 27/10/2022 10:12:00 25 Male Clothing 1 500 145 500"
"1150 22/08/2022 10:04:00 77 Female Electronics 4 30 10.2 120"
"1845 24/05/2022 7:06:00 94 Male Clothing 1 500 185 500"
"797 16/09/2022 6:38:00 116 Male Clothing 3 25 10.75 75"
"921 28/09/2022 9:34:00 101 Male Electronics 3 25 8 75"
"1797 16/04/2022 11:47:00 147 Male 40 Clothing 3 25 12.25 75"
"1921 08/02/2022 7:01:00 77 Male 51 Electronics 3 25 7.5 75"
"291 22/11/2022 8:29:00 15 Male 60 Clothing 2 300 126 600"
"907 02/09/2022 6:16:00 145 Female 45 Electronics 1 25 8.5 25"
"1291 04/04/2022 11:19:00 72 Male 60 Clothing 2 300 153 600"
"1907 17/11/2022 11:21:00 115 Female 45 Electronics 1 25 9 25"
"860 11/04/2022 8:58:00 85 Male 63 Clothing 4 50 16 200"
"1860 12/03/2022 11:21:00 57 Male 63 Clothing 4 50 18 200"
"184 13/02/2022 6:44:00 128 Male 31 Electronics 4 50 17 200"
"734 12/03/2022 8:54:00 77 Female 27 Clothing 1 30 15.6 30"
"1184 12/02/2022 8:28:00 23 Male 31 Electronics 4 50 27.5 200"
"1734 28/02/2022 8:58:00 72 Female 27 Clothing 1 30 14.4 30"
"225 05/03/2022 7:37:00 85 Female 57 Beauty 4 25 12.75 100"
"679 26/08/2022 8:59:00 64 Female 18 Beauty "
"746 05/07/2022 11:33:00 42 Female 33 Clothing "
"1225 02/02/2022 9:51:00 137 Female 57 Beauty "
"1679 23/09/2022 8:08:00 71 Female 18 Beauty 3 30 15.3 90"
"1746 13/06/2022 7:59:00 88 Female 33 Clothing 3 30 10.8 90"
"3 14/06/2022 7:08:00 114 Male 50 Electronics 1 30 8.1 30"
"464 06/03/2022 11:13:00 24 Male 38 Electronics 2 300 75 600"
"484 13/03/2022 7:52:00 135 Female 19 Clothing 4 300 75 1200"
"591 21/03/2022 8:38:00 94 Male 53 Electronics 4 25 6.5 100"
"1003 26/01/2022 7:59:00 80 Male 50 Electronics 1 30 15.9 30"
"1464 13/11/2022 10:06:00 80 Male 38 Electronics 2 300 126 600"
"1484 23/11/2022 9:29:00 22 Female 19 Clothing 4 300 147 1200"
"1591 29/09/2022 11:00:00 62 Male 53 Electronics 4 25 7 100"
"21 11/07/2022 7:33:00 59 Female 50 Beauty 1 500 275 500"
"708 06/04/2022 8:38:00 62 Female 43 Beauty 3 300 87 900"
"713 16/04/2022 11:43:00 39 Male 34 Beauty 3 25 11.25 75"
"768 27/06/2022 6:50:00 58 Female 24 Beauty 3 25 10.5 75"
"1021 11/06/2022 10:19:00 44 Female 50 Beauty 1 500 155 500"
"1708 08/02/2022 7:47:00 41 Female 43 Beauty 3 300 162 900"
"1713 03/10/2022 10:10:00 90 Male 34 Beauty 3 25 10.75 75"
"1768 31/07/2022 9:52:00 85 Female 24 Beauty 3 25 8.75 75"
"499 03/04/2022 10:52:00 15 Male 46 Beauty 2 30 16.5 60"
"697 25/12/2022 7:52:00 152 Male 53 Clothing 1 500 200 500"
"831 30/11/2022 11:49:00 149 Male 27 Electronics 4 25 13.75 100"
"1499 23/09/2022 9:46:00 3 Male 46 Beauty 2 30 11.7 60"
"1697 18/12/2022 8:22:00 54 Male 53 Clothing 1 500 265 500"
"1831 26/03/2022 10:54:00 80 Male 27 Electronics 4 25 6.5 100"
"15 01/07/2022 11:50:00 75 Female 42 Electronics 4 500 210 2000"
"743 07/08/2022 7:54:00 55 Female 34 Beauty 4 500 260 2000"
"1015 09/03/2022 11:53:00 94 Female 42 Electronics 4 500 200 2000"
"1743 26/10/2022 9:37:00 47 Female 34 Beauty 4 500 250 2000"
"14 18/05/2022 7:11:00 8 Male 64 Clothing 4 30 13.2 120"
"103 12/11/2022 10:05:00 33 Female 59 Clothing 1 25 10.75 25"
"238 10/05/2022 11:52:00 20 Female 39 Beauty 1 500 150 500"
"986 01/08/2022 9:35:00 65 Female 49 Clothing 2 500 200 1000"
"1014 04/02/2022 10:26:00 147 Male 64 Clothing 4 30 11.4 120"
"1103 14/02/2022 7:11:00 61 Female 59 Clothing 1 25 6.75 25"
"1238 17/09/2022 7:38:00 129 Female 39 Beauty 1 500 165 500"
"1986 14/09/2022 8:28:00 29 Female 49 Clothing 2 500 145 1000"
"438 31/08/2022 10:15:00 88 Female 42 Clothing 1 30 15.9 30"
"1438 07/01/2022 10:00:00 72 Female 42 Clothing 1 30 13.8 30"
"475 12/08/2022 10:39:00 78 Male 26 Clothing 3 25 9 75"
"505 17/12/2022 7:25:00 86 Male 24 Beauty 1 50 19.5 50"
"1475 04/10/2022 7:03:00 132 Male 26 Clothing 3 25 10.75 75"
"1505 30/10/2022 8:00:00 98 Male 24 Beauty 1 50 14.5 50"
"344 17/07/2022 9:47:00 69 Female 42 Beauty 1 30 7.5 30"
"448 19/03/2022 9:36:00 86 Female 54 Beauty 2 30 16.2 60"
"742 19/03/2022 6:08:00 37 Female 38 Electronics 4 500 195 2000"
"1344 18/12/2022 6:12:00 144 Female 42 Beauty 1 30 11.1 30"
"1448 16/05/2022 6:28:00 51 Female 54 Beauty 2 30 9.3 60"
"1742 22/11/2022 8:25:00 18 Female 38 Electronics 4 500 220 2000"
"445 14/04/2022 10:48:00 132 Female 53 Electronics 1 300 138 300"
"787 10/06/2022 10:42:00 25 Male 41 Electronics 1 25 13.75 25"
"1445 19/04/2022 6:16:00 31 Female 53 Electronics 1 300 129 300"
"1787 30/05/2022 7:42:00 104 Male 41 Electronics 1 25 10 25"
"49 17/09/2022 10:33:00 37 Female 54 Electronics 2 500 255 1000"
"420 02/01/2022 10:53:00 28 Female 22 Clothing 4 500 200 2000"
"519 08/04/2022 10:17:00 52 Female 36 Electronics 4 30 16.5 120"
"1049 16/05/2022 6:36:00 143 Female 54 Electronics 2 500 125 1000"
"1420 15/04/2022 7:01:00 138 Female 22 Clothing 4 500 205 2000"
"1519 08/01/2022 7:35:00 139 Female 36 Electronics 4 30 9.3 120"
"64 15/11/2022 6:34:00 7 Male 49 Clothing 4 25 8.5 100"
"592 26/12/2022 9:15:00 77 Female 46 Beauty 4 500 275 2000"
"912 31/10/2022 6:18:00 122 Male 51 Beauty 3 50 20.5 150"
"1064 14/04/2022 10:38:00 49 Male 49 Clothing 4 25 13.75 100"
"1592 16/03/2022 9:08:00 81 Female 46 Beauty 4 500 155 2000"
"1912 27/05/2022 7:40:00 146 Male 51 Beauty 3 50 22 150"
"134 25/08/2022 9:03:00 132 Male 49 Electronics 1 50 16 50"
"1134 05/08/2022 9:04:00 106 Male 49 Electronics 1 50 24 50"
"288 02/05/2022 9:59:00 27 Male 28 Clothing 4 30 12 120"
"323 21/01/2022 8:22:00 97 Female 29 Beauty 3 300 150 900"
"618 13/10/2022 10:22:00 5 Female 27 Beauty 1 50 26 50"
"720 08/04/2022 8:50:00 116 Female 56 Beauty 3 500 235 1500"
"1288 05/04/2022 11:56:00 26 Male 28 Clothing 4 30 9 120"
"1323 15/08/2022 10:49:00 136 Female 29 Beauty 3 300 114 900"
"1618 15/09/2022 6:27:00 118 Female 27 Beauty 1 50 13.5 50"
"1720 10/10/2022 8:51:00 28 Female 56 Beauty 3 500 190 1500"
"415 05/01/2022 9:59:00 85 Male 53 Clothing 2 30 8.1 60"
"736 18/12/2022 8:30:00 97 Male 29 Clothing 4 25 9.75 100"
"929 11/03/2022 10:18:00 40 Female 23 Beauty 3 25 10.5 75"
"1415 06/03/2022 7:11:00 146 Male 53 Clothing 2 30 15.3 60"
"1736 28/08/2022 8:57:00 87 Male 29 Clothing 4 25 10.25 100"
"1929 15/09/2022 6:50:00 62 Female 23 Beauty 3 25 12.75 75"
"264 26/12/2022 11:03:00 111 Male 47 Clothing 3 300 150 900"
"913 12/10/2022 10:52:00 78 Male 29 Electronics 3 30 16.5 90"
"940 05/01/2022 8:11:00 46 Female 20 Electronics 1 30 9.6 30"
"1264 27/05/2022 9:23:00 82 Male 47 Clothing 3 300 123 900"
"1913 23/06/2022 7:10:00 101 Male 29 Electronics 3 30 14.1 90"
"1940 15/06/2022 9:47:00 56 Female 20 Electronics 1 30 11.1 30"
"101 08/01/2022 8:46:00 24 Male 32 Clothing 2 300 135 600"
"1101 17/05/2022 7:47:00 15 Male 32 Clothing 2 300 132 600"
"189 02/01/2022 9:44:00 143 Male 63 Beauty 1 50 14.5 50"
"317 04/05/2022 7:54:00 117 Male 22 Electronics 3 30 12 90"
"322 19/10/2022 6:11:00 13 Male 51 Electronics 1 500 125 500"
"329 27/10/2022 7:42:00 52 Female 46 Electronics 4 25 8 100"
"1189 07/12/2022 6:08:00 104 Male 63 Beauty 1 50 20.5 50"
"1317 25/08/2022 8:02:00 144 Male 22 Electronics 3 30 12 90"
"1322 14/11/2022 9:56:00 10 Male 51 Electronics 1 500 250 500"
"1329 27/01/2022 10:39:00 119 Female 46 Electronics 4 25 9.25 100"
"235 10/03/2022 10:13:00 132 Female 23 Electronics 2 500 275 1000"
"300 08/01/2022 9:41:00 138 Female 19 Electronics 4 50 26.5 200"
"964 26/08/2022 8:18:00 15 Male 24 Clothing 3 300 156 900"
"1235 04/04/2022 6:44:00 87 Female 23 Electronics 2 500 220 1000"
"1300 08/08/2022 8:57:00 7 Female 19 Electronics 4 50 24 200"
"1964 02/08/2022 8:27:00 115 Male 24 Clothing 3 300 111 900"
"269 19/09/2022 11:31:00 87 Male 25 Clothing 4 500 250 2000"
"320 20/04/2022 8:35:00 57 Female 28 Electronics 4 300 159 1200"
"673 04/07/2022 10:14:00 18 Female 43 Clothing 3 500 270 1500"
"1269 01/01/2022 8:09:00 71 Male 25 Clothing 4 500 145 2000"
"1320 02/11/2022 11:55:00 102 Female 28 Electronics 4 300 84 1200"
"1673 14/06/2022 7:36:00 42 Female 43 Clothing 3 500 185 1500"
"142 08/04/2022 10:05:00 61 Male 35 Electronics 4 300 138 1200"
"223 15/01/2022 11:18:00 61 Female 64 Clothing 1 25 12 25"
"666 03/03/2022 10:59:00 49 Male 51 Electronics 3 50 16 150"
"1142 09/11/2022 9:49:00 2 Male 35 Electronics 4 300 114 1200"
"1223 20/02/2022 7:40:00 106 Female 64 Clothing 1 25 9.75 25"
"1666 08/12/2022 10:10:00 125 Male 51 Electronics 3 50 21 150"
"107 06/10/2022 9:18:00 75 Female 21 Clothing 4 300 78 1200"
"933 19/09/2022 7:53:00 81 Male 22 Beauty 1 30 12.9 30"
"1107 31/12/2022 11:14:00 62 Female 21 Clothing 4 300 102 1200"
"1933 12/01/2022 11:04:00 121 Male 22 Beauty 1 30 14.4 30"
"237 11/04/2022 8:54:00 105 Female 50 Beauty 2 500 165 1000"
"335 02/02/2022 9:23:00 2 Female 47 Beauty 4 30 10.8 120"
"1237 23/02/2022 9:20:00 48 Female 50 Beauty 2 500 215 1000"
"1335 27/05/2022 8:45:00 117 Female 47 Beauty 4 30 8.7 120"
"63 03/02/2022 11:49:00 127 Male 57 Electronics 2 25 6.25 50"
"195 14/08/2022 11:51:00 10 Male 52 Clothing 1 30 9.3 30"
"333 06/10/2022 8:15:00 21 Female 54 Electronics 4 300 99 1200"
"379 01/06/2022 7:28:00 76 Female 47 Clothing 1 25 8.5 25"
"490 27/01/2022 6:07:00 43 Male 34 Clothing 3 50 18.5 150"
"530 01/05/2022 7:52:00 8 Female 18 Electronics 4 30 9 120"
"740 01/12/2022 6:58:00 33 Female 25 Beauty 4 50 13 200"
"793 27/05/2022 10:53:00 1 Male 54 Beauty 1 30 14.7 30"
"1063 04/08/2022 10:26:00 56 Male 57 Electronics 2 25 11 50"
"1195 21/09/2022 7:07:00 55 Male 52 Clothing 1 30 12 30"
"1333 01/11/2022 11:38:00 151 Female 54 Electronics 4 300 165 1200"
"1379 02/01/2022 6:23:00 69 Female 47 Clothing 1 25 7.25 25"
"1490 26/10/2022 7:15:00 155 Male 34 Clothing 3 50 17 150"
"1530 10/12/2022 8:17:00 93 Female 18 Electronics 4 30 12.3 120"
"1740 16/07/2022 6:01:00 66 Female 25 Beauty 4 50 27 200"
"1793 11/12/2022 6:05:00 88 Male 54 Beauty 1 30 10.8 30"
"85 03/09/2022 8:05:00 68 Male 31 Clothing 3 50 19 150"
"232 12/08/2022 7:14:00 150 Female 43 Beauty 1 25 12.75 25"
"240 05/11/2022 11:49:00 95 Female 23 Beauty 1 300 123 300"
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"61 07/07/2023 11:47:00 4 Male 21 Beauty 4 50 20 200"
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"486 02/12/2023 9:47:00 4 Female 35 Electronics 1 25 6.5 25"
"548 14/04/2023 7:00:00 4 Female 51 Clothing 2 30 15.6 60"
"886 11/12/2023 11:25:00 4 Male 37 Electronics 3 300 165 900"
"892 13/09/2023 11:39:00 1 Male 20 Electronics 1 50 24 50"
"1061 18/09/2023 7:56:00 3 Male 21 Beauty 4 50 12.5 200"
"1274 06/10/2023 9:01:00 2 Female 23 Clothing 2 500 185 1000"
"1486 22/11/2023 8:58:00 4 Female 35 Electronics 1 25 8.75 25"
"1548 13/01/2023 8:15:00 1 Female 51 Clothing 2 30 12.6 60"
"1886 26/07/2023 11:51:00 1 Male 37 Electronics 3 300 147 900"
"1892 01/10/2023 7:22:00 3 Male 20 Electronics 1 50 23.5 50"
"601 05/06/2023 9:23:00 5 Male 19 Clothing 1 30 13.2 30"
"901 02/08/2023 6:38:00 2 Male 31 Electronics 1 30 12 30"
"1601 14/09/2023 11:48:00 1 Male 19 Clothing 1 30 13.5 30"
"1901 29/11/2023 11:05:00 4 Male 31 Electronics 1 30 8.4 30"
"527 21/04/2023 11:35:00 1 Male 57 Clothing 2 25 11.5 50"
"1527 29/09/2023 8:30:00 1 Male 57 Clothing 2 25 11.75 50"
"23 28/09/2023 7:05:00 4 Female 35 Clothing 4 30 14.7 120"
"174 15/11/2023 6:07:00 2 Female 39 Beauty 1 300 126 300"
"589 08/07/2023 7:11:00 5 Female 36 Beauty 2 500 145 1000"
"774 06/11/2023 9:04:00 2 Female 40 Clothing 2 25 6.5 50"
"1000 01/04/2023 10:22:00 1 Male 47 Electronics 4 30 8.4 120"
"1023 23/05/2023 8:40:00 5 Female 35 Clothing 4 30 8.1 120"
"1174 17/05/2023 6:55:00 2 Female 39 Beauty 1 300 132 300"
"1589 01/07/2023 6:30:00 5 Female 36 Beauty 2 500 145 1000"
"1774 09/03/2023 6:48:00 2 Female 40 Clothing 2 25 8 50"
"2000 31/03/2023 6:38:00 4 Male 47 Electronics 4 30 10.8 120"
"210 07/10/2023 8:50:00 2 Male 37 Electronics 4 50 19 200"
"478 24/07/2023 11:13:00 3 Female 58 Clothing 2 30 8.1 60"
"745 14/08/2023 7:30:00 3 Male 54 Beauty 2 50 17 100"
"1210 10/03/2023 10:02:00 5 Male 37 Electronics 4 50 12.5 200"
"1478 31/08/2023 9:18:00 1 Female 58 Clothing 2 30 13.5 60"
"1745 28/09/2023 10:38:00 4 Male 54 Beauty 2 50 21 100"
"354 16/12/2023 7:58:00 5 Female 49 Beauty 4 50 24.5 200"
"408 22/12/2023 8:18:00 4 Female 64 Beauty 1 500 140 500"
"1354 17/09/2023 9:34:00 5 Female 49 Beauty 4 50 26.5 200"
"1408 28/08/2023 8:17:00 2 Female 64 Beauty 1 500 250 500"
"674 30/03/2023 11:10:00 2 Female 38 Clothing 1 300 84 300"
"1674 22/11/2023 9:21:00 1 Female 38 Clothing 1 300 123 300"
"967 04/08/2023 10:13:00 4 Male 62 Beauty 1 25 13.25 25"
"1967 23/02/2023 8:28:00 4 Male 62 Beauty 1 25 12.25 25"
"79 13/04/2023 10:15:00 1 Male 34 Beauty 1 300 96 300"
"406 01/04/2023 11:50:00 3 Female 22 Beauty 4 25 11 100"
"450 01/12/2023 6:35:00 2 Female 59 Beauty 2 25 11 50"
"562 09/11/2023 9:26:00 3 Male 54 Electronics 2 25 7.25 50"
"1079 21/08/2023 6:45:00 1 Male 34 Beauty 1 300 117 300"
"1406 22/06/2023 8:45:00 2 Female 22 Beauty 4 25 10 100"
"1450 16/07/2023 8:52:00 1 Female 59 Beauty 2 25 10.25 50"
"1562 26/11/2023 10:21:00 5 Male 54 Electronics 2 25 12.75 50"
"108 24/01/2023 9:38:00 5 Female 27 Beauty 3 25 13.5 75"
"111 15/04/2023 9:45:00 5 Female 34 Electronics 3 500 130 1500"
"207 06/08/2023 8:34:00 3 Female 42 Beauty 2 25 10.25 50"
"724 14/06/2023 6:56:00 3 Male 61 Clothing 3 50 20 150"
"836 21/06/2023 6:32:00 2 Female 22 Clothing 1 50 27.5 50"
"969 27/11/2023 11:47:00 2 Female 40 Clothing 3 300 84 900"
"1108 08/07/2023 10:27:00 1 Female 27 Beauty 3 25 10 75"
"1111 30/04/2023 21:34:00 2 Female 34 Electronics 3 500 185 1500"
"1207 30/06/2023 21:48:00 3 Female 42 Beauty 2 25 10 50"
"1724 15/09/2023 20:53:00 4 Male 61 Clothing 3 50 17 150"
"1836 13/02/2023 17:19:00 3 Female 22 Clothing 1 50 23.5 50"
"1969 05/03/2023 19:34:00 4 Female 40 Clothing 3 300 126 900"
"246 07/12/2023 20:05:00 4 Female 48 Electronics 2 25 13.25 50"
"298 05/10/2023 19:05:00 3 Male 27 Beauty 4 300 84 1200"
"374 27/10/2023 17:45:00 4 Female 59 Beauty 3 25 7.75 75"
"572 13/12/2023 18:33:00 5 Male 31 Clothing 4 500 185 2000"
"665 03/10/2023 22:49:00 1 Male 57 Clothing 1 50 19 50"
"1246 26/04/2023 22:54:00 3 Female 48 Electronics 2 25 11.5 50"
"1298 02/05/2023 19:51:00 1 Male 27 Beauty 4 300 120 1200"
"1374 23/03/2023 22:03:00 3 Female 59 Beauty 3 25 8.25 75"
"1572 18/06/2023 22:20:00 1 Male 31 Clothing 4 500 175 2000"
"1665 01/11/2023 19:38:00 4 Male 57 Clothing 1 50 14 50"
"39 11/07/2023 22:44:00 5 Male 23 Clothing 4 30 8.7 120"
"893 29/04/2023 18:52:00 1 Male 49 Electronics 1 50 17 50"
"1039 03/12/2023 20:01:00 1 Male 23 Clothing 4 30 13.8 120"
"1893 25/02/2023 17:04:00 3 Male 49 Electronics 1 50 22.5 50"
"17 25/02/2023 21:08:00 3 Female 27 Clothing 4 25 13 100"
"316 01/02/2023 17:25:00 3 Female 48 Clothing 2 25 13.75 50"
"755 27/11/2023 20:07:00 1 Female 58 Clothing 3 25 6.75 75"
"1017 05/09/2023 18:41:00 2 Female 27 Clothing 4 25 12 100"
"1316 21/07/2023 17:11:00 1 Female 48 Clothing 2 25 11.75 50"
"1755 23/05/2023 21:47:00 2 Female 58 Clothing 3 25 8 75"
"28 11/12/2023 22:34:00 3 Female 43 Beauty 1 500 150 500"
"98 09/04/2023 19:41:00 1 Female 55 Beauty 2 50 19.5 100"
"129 17/04/2023 17:42:00 1 Female 21 Beauty 2 300 75 600"
"230 26/03/2023 17:44:00 5 Male 54 Beauty 1 25 12.5 25"
"613 08/05/2023 17:23:00 2 Female 52 Clothing 3 30 11.4 90"
"691 12/05/2023 21:09:00 5 Female 51 Clothing 3 30 14.7 90"
"693 08/06/2023 17:12:00 1 Male 41 Beauty 3 500 270 1500"
"1028 09/03/2023 18:09:00 1 Female 43 Beauty 1 500 250 500"
"1098 06/07/2023 22:34:00 3 Female 55 Beauty 2 50 19.5 100"
"1129 08/09/2023 21:46:00 1 Female 21 Beauty 2 300 156 600"
"1230 04/12/2023 21:24:00 1 Male 54 Beauty 1 25 13.25 25"
"1613 14/12/2023 21:58:00 4 Female 52 Clothing 3 30 9.9 90"
"1691 07/01/2023 20:01:00 1 Female 51 Clothing 3 30 13.5 90"
"1693 20/02/2023 18:21:00 1 Male 41 Beauty 3 500 130 1500"
"477 03/12/2023 17:24:00 3 Male 43 Clothing 4 30 16.2 120"
"863 12/11/2023 22:40:00 4 Female 30 Electronics 2 25 11.25 50"
"1477 08/01/2023 21:59:00 3 Male 43 Clothing 4 30 15.6 120"
"1863 26/05/2023 22:33:00 4 Female 30 Electronics 2 25 10 50"
"6 15/11/2023 22:16:00 2 Female 45 Beauty 1 30 15 30"
"483 06/02/2023 17:25:00 2 Male 55 Clothing 1 30 8.4 30"
"738 05/02/2023 18:24:00 5 Male 41 Clothing 2 50 26 100"
"1006 29/10/2023 19:23:00 2 Female 45 Beauty 1 30 14.1 30"
"1483 05/03/2023 19:53:00 1 Male 55 Clothing 1 30 8.7 30"
"1738 12/11/2023 21:33:00 1 Male 41 Clothing 2 50 16 100"
"222 07/01/2023 18:56:00 4 Male 51 Clothing 4 30 10.5 120"
"588 18/10/2023 17:54:00 5 Male 38 Electronics 2 30 13.8 60"
"953 02/07/2023 17:58:00 1 Male 45 Beauty 3 30 12.6 90"
"1222 17/09/2023 18:15:00 3 Male 51 Clothing 4 30 11.1 120"
"1588 25/06/2023 21:29:00 4 Male 38 Electronics 2 30 13.2 60"
"1953 15/05/2023 17:34:00 3 Male 45 Beauty 3 30 10.2 90"
"66 18/06/2023 22:49:00 3 Female 45 Electronics 1 30 9 30"
"482 12/08/2023 18:57:00 3 Female 28 Clothing 4 300 141 1200"
"903 27/07/2023 22:14:00 3 Female 51 Beauty 4 50 14 200"
"1066 06/10/2023 18:11:00 4 Female 45 Electronics 1 30 8.4 30"
"1482 10/02/2023 22:22:00 1 Female 28 Clothing 4 300 114 1200"
"1903 27/07/2023 21:44:00 5 Female 51 Beauty 4 50 19 200"
"102 17/04/2023 21:34:00 5 Female 47 Beauty 2 25 7.25 50"
"228 03/04/2023 20:26:00 4 Female 59 Electronics 2 30 10.8 60"
"236 01/04/2023 22:18:00 5 Female 54 Clothing 1 25 6.5 25"
"1102 21/08/2023 18:04:00 5 Female 47 Beauty 2 25 6.5 50"
"1228 24/06/2023 21:37:00 5 Female 59 Electronics 2 30 11.4 60"
"1236 09/08/2023 18:19:00 4 Female 54 Clothing 1 25 8.75 25"
"660 29/07/2023 18:46:00 2 Female 38 Beauty 2 500 270 1000"
"884 18/02/2023 20:31:00 1 Female 26 Clothing 2 30 7.5 60"
"987 08/11/2023 18:45:00 1 Female 30 Clothing 3 300 165 900"
"1660 23/09/2023 20:27:00 2 Female 38 Beauty 2 500 160 1000"
"1884 09/07/2023 21:45:00 2 Female 26 Clothing 2 30 11.4 60"
"1987 26/05/2023 18:18:00 2 Female 30 Clothing 3 300 129 900"
"18 06/09/2023 19:13:00 5 Female 47 Electronics 2 25 12.5 50"
"69 14/11/2023 22:44:00 1 Female 56 Beauty 3 25 8.5 75"
"995 04/03/2023 22:38:00 4 Female 41 Clothing 1 30 9.9 30"
"1018 06/07/2023 19:13:00 4 Female 47 Electronics 2 25 13 50"
"1069 13/10/2023 19:05:00 2 Female 56 Beauty 3 25 6.75 75"
"1995 10/12/2023 22:18:00 5 Female 41 Clothing 1 30 14.7 30"
"337 22/08/2023 17:56:00 1 Male 38 Clothing 1 500 275 500"
"585 06/06/2023 21:49:00 3 Female 24 Clothing 1 25 13.75 25"
"652 31/10/2023 17:05:00 4 Female 34 Beauty 2 50 20.5 100"
"1337 21/07/2023 19:56:00 2 Male 38 Clothing 1 500 225 500"
"1585 05/10/2023 20:00:00 2 Female 24 Clothing 1 25 7.25 25"
"1652 16/11/2023 20:00:00 2 Female 34 Beauty 2 50 20.5 100"
"242 01/10/2023 18:28:00 1 Male 21 Clothing 1 25 8 25"
"293 27/05/2023 19:04:00 4 Male 50 Electronics 3 30 9.6 90"
"460 01/05/2023 23:00:00 2 Male 40 Beauty 1 50 19 50"
"1242 27/11/2023 18:32:00 5 Male 21 Clothing 1 25 11.25 25"
"1293 01/07/2023 18:52:00 3 Male 50 Electronics 3 30 14.1 90"
"1460 25/01/2023 19:42:00 4 Male 40 Beauty 1 50 22 50"
"188 31/08/2023 18:50:00 3 Male 40 Clothing 3 25 8.5 75"
"357 18/05/2023 18:57:00 4 Female 40 Electronics 3 25 7.5 75"
"646 26/05/2023 21:02:00 3 Male 38 Clothing 3 30 13.5 90"
"749 26/07/2023 20:33:00 2 Male 42 Beauty 1 30 8.4 30"
"974 28/12/2023 18:39:00 3 Male 47 Beauty 1 30 11.7 30"
"1188 04/06/2023 22:43:00 2 Male 40 Clothing 3 25 10.75 75"
"1357 20/03/2023 19:14:00 3 Female 40 Electronics 3 25 11.5 75"
"1646 18/01/2023 19:43:00 1 Male 38 Clothing 3 30 15.6 90"
"1749 07/05/2023 19:55:00 2 Male 42 Beauty 1 30 9 30"
"1974 19/02/2023 20:20:00 3 Male 47 Beauty 1 30 12.9 30"
"190 25/01/2023 17:56:00 2 Female 60 Beauty 3 30 10.5 90"
"849 25/06/2023 19:33:00 5 Male 32 Clothing 2 25 12.5 50"
"853 14/05/2023 22:29:00 3 Male 21 Beauty 2 500 155 1000"
"1190 29/09/2023 21:00:00 4 Female 60 Beauty 3 30 10.8 90"
"1849 21/07/2023 22:42:00 1 Male 32 Clothing 2 25 12 50"
"1853 29/05/2023 18:39:00 2 Male 21 Beauty 2 500 190 1000"
"252 05/05/2023 17:37:00 1 Male 54 Electronics 1 300 84 300"
"606 13/06/2023 20:19:00 2 Male 22 Electronics 1 50 19.5 50"
"779 15/05/2023 19:19:00 3 Female 56 Electronics 2 500 155 1000"
"824 25/02/2023 19:10:00 3 Male 63 Clothing 4 30 9.3 120"
"866 06/07/2023 18:16:00 4 Male 24 Electronics 1 50 22.5 50"
"1252 30/12/2023 20:18:00 5 Male 54 Electronics 1 300 117 300"
"1606 19/10/2023 19:52:00 2 Male 22 Electronics 1 50 26.5 50"
"1779 02/01/2023 19:45:00 3 Female 56 Electronics 2 500 190 1000"
"1824 24/01/2023 20:19:00 4 Male 63 Clothing 4 30 12.6 120"
"1866 17/08/2023 22:38:00 5 Male 24 Electronics 1 50 20 50"
"5 05/09/2023 22:10:00 3 Male 30 Beauty 2 50 24 100"
"90 10/09/2023 17:53:00 3 Female 51 Electronics 1 30 13.5 30"
"380 30/08/2023 22:26:00 2 Male 56 Electronics 2 300 102 600"
"593 18/01/2023 22:05:00 2 Male 35 Electronics 2 30 13.2 60"
"820 17/02/2023 22:49:00 1 Male 49 Electronics 4 50 24 200"
"1005 12/08/2023 20:38:00 2 Male 30 Beauty 2 50 17.5 100"
"1090 18/02/2023 19:54:00 4 Female 51 Electronics 1 30 7.5 30"
"1380 09/02/2023 19:45:00 3 Male 56 Electronics 2 300 159 600"
"1593 24/02/2023 22:39:00 5 Male 35 Electronics 2 30 14.4 60"
"1820 13/05/2023 21:31:00 1 Male 49 Electronics 4 50 22 200"
"120 31/03/2023 19:35:00 4 Male 60 Beauty 1 50 12.5 50"
"221 27/11/2023 21:01:00 3 Male 39 Beauty 2 300 111 600"
"341 20/01/2023 17:06:00 5 Male 31 Clothing 4 50 18.5 200"
"640 25/12/2023 20:05:00 3 Female 51 Electronics 4 30 12.6 120"
"744 23/05/2023 18:02:00 1 Male 40 Electronics 1 25 6.5 25"
"1120 02/03/2023 19:32:00 4 Male 60 Beauty 1 50 26.5 50"
"1221 14/09/2023 22:57:00 5 Male 39 Beauty 2 300 114 600"
"1341 30/01/2023 22:10:00 1 Male 31 Clothing 4 50 21 200"
"1640 10/06/2023 19:44:00 5 Female 51 Electronics 4 30 14.1 120"
"1744 07/07/2023 21:49:00 4 Male 40 Electronics 1 25 8.75 25"
"273 26/09/2023 20:24:00 1 Female 22 Beauty 1 50 14.5 50"
"283 01/06/2023 20:08:00 3 Female 18 Electronics 1 500 165 500"
"452 30/01/2023 22:41:00 4 Female 48 Clothing 3 500 240 1500"
"469 21/03/2023 19:24:00 4 Male 18 Beauty 3 25 8.75 75"
"620 06/11/2023 20:59:00 4 Male 63 Electronics 3 25 7 75"
"946 08/08/2023 20:15:00 2 Male 62 Electronics 4 500 235 2000"
"1273 20/06/2023 20:39:00 1 Female 22 Beauty 1 50 25.5 50"
"1283 14/10/2023 20:15:00 1 Female 18 Electronics 1 500 130 500"
"1452 06/08/2023 17:41:00 3 Female 48 Clothing 3 500 185 1500"
"1469 08/12/2023 17:22:00 3 Male 18 Beauty 3 25 12.5 75"
"1620 03/02/2023 22:48:00 5 Male 63 Electronics 3 25 7.75 75"
"1946 27/07/2023 20:48:00 5 Male 62 Electronics 4 500 165 2000"
"148 03/07/2023 20:39:00 5 Male 18 Clothing 2 30 9.9 60"
"414 10/05/2023 19:40:00 1 Male 48 Beauty 4 25 9.75 100"
"883 20/08/2023 20:43:00 5 Male 40 Electronics 1 500 245 500"
"1148 11/08/2023 22:04:00 2 Male 18 Clothing 2 30 10.8 60"
"1414 22/11/2023 21:28:00 4 Male 48 Beauty 4 25 11.25 100"
"1883 20/09/2023 17:54:00 3 Male 40 Electronics 1 500 200 500"
"731 30/09/2023 18:49:00 1 Male 54 Clothing 4 500 165 2000"
"930 12/01/2023 17:54:00 1 Male 54 Clothing 4 50 26 200"
"1731 19/12/2023 17:41:00 3 Male 54 Clothing 4 500 195 2000"
"1930 21/12/2023 19:58:00 5 Male 54 Clothing 4 50 13 200"
"518 31/07/2023 17:01:00 2 Female 40 Clothing 1 30 16.2 30"
"1518 18/05/2023 20:03:00 3 Female 40 Clothing 1 30 12.6 30"
"758 23/04/2023 18:30:00 1 Male 64 Clothing 4 25 6.75 100"
"1758 22/07/2023 18:19:00 3 Male 64 Clothing 4 25 7.5 100"
"639 01/08/2023 19:47:00 4 Female 62 Beauty 4 50 26.5 200"
"838 30/09/2023 21:20:00 1 Male 47 Electronics 2 300 153 600"
"1639 20/12/2023 18:13:00 5 Female 62 Beauty 4 50 24 200"
"1838 28/06/2023 17:06:00 4 Male 47 Electronics 2 300 102 600"
"353 18/03/2023 21:35:00 5 Male 31 Electronics 1 500 270 500"
"501 28/06/2023 20:21:00 2 Male 39 Electronics 2 30 9 60"
"721 23/06/2023 17:10:00 5 Female 52 Clothing 1 500 145 500"
"1353 04/09/2023 21:59:00 3 Male 31 Electronics 1 500 235 500"
"1501 31/01/2023 18:00:00 1 Male 39 Electronics 2 30 13.5 60"
"1721 21/01/2023 22:42:00 3 Female 52 Clothing 1 500 215 500"
"123 11/08/2023 19:00:00 3 Female 40 Electronics 2 30 11.7 60"
"164 28/02/2023 18:26:00 3 Female 47 Beauty 3 500 185 1500"
"425 11/06/2023 18:28:00 2 Female 55 Electronics 4 30 15.6 120"
"1123 11/12/2023 21:04:00 1 Female 40 Electronics 2 30 10.8 60"
"1164 07/04/2023 20:53:00 1 Female 47 Beauty 3 500 245 1500"
"1425 02/12/2023 22:15:00 1 Female 55 Electronics 4 30 10.2 120"
"48 06/10/2023 17:34:00 2 Male 54 Electronics 3 300 123 900"
"118 13/03/2023 20:07:00 3 Female 30 Electronics 4 500 270 2000"
"203 12/03/2023 21:33:00 4 Male 56 Clothing 2 500 175 1000"
"305 22/03/2023 22:09:00 4 Female 18 Beauty 1 30 14.4 30"
"358 12/10/2023 18:32:00 4 Female 32 Beauty 1 300 132 300"
"376 29/01/2023 18:21:00 4 Female 64 Beauty 1 30 12 30"
"398 23/02/2023 21:17:00 5 Female 48 Clothing 2 300 114 600"
"411 25/07/2023 20:04:00 3 Male 62 Electronics 4 50 24.5 200"
"504 31/03/2023 18:07:00 4 Female 38 Beauty 3 50 22 150"
"970 25/05/2023 18:13:00 2 Male 59 Electronics 4 500 220 2000"
"996 03/07/2023 17:38:00 2 Male 62 Clothing 1 50 13.5 50"
"1048 12/07/2023 19:14:00 3 Male 54 Electronics 3 300 93 900"
"1118 13/10/2023 17:24:00 1 Female 30 Electronics 4 500 170 2000"
"1203 26/11/2023 18:36:00 2 Male 56 Clothing 2 500 145 1000"
"1305 05/04/2023 18:24:00 5 Female 18 Beauty 1 30 7.8 30"
"1358 04/05/2023 21:40:00 5 Female 32 Beauty 1 300 156 300"
"1376 15/07/2023 19:49:00 3 Female 64 Beauty 1 30 9.9 30"
"1398 19/07/2023 17:20:00 1 Female 48 Clothing 2 300 120 600"
"1411 24/11/2023 20:27:00 1 Male 62 Electronics 4 50 26 200"
"1504 25/01/2023 17:01:00 4 Female 38 Beauty 3 50 25.5 150"
"1970 22/05/2023 17:44:00 5 Male 59 Electronics 4 500 230 2000"
"1996 07/12/2023 18:49:00 2 Male 62 Clothing 1 50 25 50"
"81 07/06/2023 22:48:00 4 Male 40 Electronics 1 50 14.5 50"
"155 18/07/2023 18:05:00 3 Male 31 Electronics 4 500 150 2000"
"470 26/12/2023 18:58:00 4 Female 57 Clothing 2 500 165 1000"
"1081 27/06/2023 22:23:00 5 Male 40 Electronics 1 50 17 50"
"1155 03/12/2023 18:22:00 3 Male 31 Electronics 4 500 255 2000"
"1470 26/06/2023 19:47:00 1 Female 57 Clothing 2 500 165 1000"
"106 17/05/2023 18:58:00 1 Female 46 Clothing 1 50 15 50"
"818 29/05/2023 18:56:00 4 Male 30 Electronics 1 500 265 500"
"1106 12/08/2023 17:50:00 3 Female 46 Clothing 1 50 14 50"
"1818 20/09/2023 17:29:00 4 Male 30 Electronics 1 500 150 500"
"94 13/03/2023 22:39:00 5 Female 47 Beauty 2 500 250 1000"
"811 15/04/2023 18:34:00 2 Male 61 Beauty 2 25 6.75 50"
"881 21/12/2023 20:52:00 4 Male 22 Electronics 1 300 99 300"
"1094 15/06/2023 20:34:00 1 Female 47 Beauty 2 500 210 1000"
"1811 09/12/2023 21:58:00 5 Male 61 Beauty 2 25 8.5 50"
"1881 11/07/2023 17:23:00 5 Male 22 Electronics 1 300 147 300"
"403 22/04/2023 19:31:00 5 Male 32 Clothing 2 300 78 600"
"653 25/11/2023 22:53:00 3 Male 54 Clothing 3 25 9.25 75"
"694 30/06/2023 17:47:00 3 Female 39 Electronics 2 25 10 50"
"1403 25/03/2023 18:20:00 4 Male 32 Clothing 2 300 162 600"
"1653 23/07/2023 19:34:00 2 Male 54 Clothing 3 25 12.75 75"
"1694 10/01/2023 19:22:00 4 Female 39 Electronics 2 25 9.75 50"
"4 27/08/2023 18:12:00 3 Male 37 Clothing 1 500 200 500"
"647 01/03/2023 19:53:00 5 Male 59 Clothing 3 500 190 1500"
"911 15/07/2023 17:29:00 3 Male 42 Electronics 3 300 84 900"
"1004 11/01/2023 21:46:00 2 Male 37 Clothing 1 500 230 500"
"1647 01/05/2023 20:26:00 5 Male 59 Clothing 3 500 240 1500"
"1911 13/12/2023 18:33:00 4 Male 42 Electronics 3 300 75 900"
"419 31/03/2023 19:18:00 5 Female 44 Clothing 3 30 11.7 90"
"642 04/05/2023 21:40:00 1 Female 54 Clothing 4 25 12 100"
"843 25/01/2023 22:46:00 3 Male 21 Beauty 3 500 180 1500"
"895 31/08/2023 21:51:00 3 Female 55 Clothing 4 30 14.4 120"
"1419 05/02/2023 18:42:00 3 Female 44 Clothing 3 30 9.3 90"
"1642 27/12/2023 18:30:00 4 Female 54 Clothing 4 25 11.5 100"
"1843 21/09/2023 18:58:00 1 Male 21 Beauty 3 500 240 1500"
"1895 27/03/2023 20:59:00 4 Female 55 Clothing 4 30 15.3 120"
"31 31/12/2023 17:47:00 3 Male 44 Electronics 4 300 129 1200"
"37 26/05/2023 22:42:00 2 Female 18 Beauty 3 25 8.75 75"
"72 06/12/2023 19:19:00 5 Female 20 Electronics 4 500 195 2000"
"243 24/06/2023 18:02:00 5 Female 47 Electronics 3 300 156 900"
"281 18/09/2023 20:09:00 4 Female 29 Beauty 4 500 275 2000"
"489 31/10/2023 22:01:00 1 Male 44 Electronics 1 30 14.4 30"
"491 30/12/2023 21:11:00 4 Female 60 Electronics 3 300 78 900"
"729 26/08/2023 22:29:00 3 Male 29 Clothing 4 300 84 1200"
"822 16/02/2023 17:39:00 3 Female 52 Beauty 3 50 13.5 150"
"1031 12/11/2023 21:15:00 3 Male 44 Electronics 4 300 126 1200"
"1037 17/10/2023 17:38:00 2 Female 18 Beauty 3 25 11.5 75"
"1072 24/02/2023 18:10:00 4 Female 20 Electronics 4 500 180 2000"
"1243 08/12/2023 17:11:00 4 Female 47 Electronics 3 300 138 900"
"1281 14/03/2023 19:34:00 4 Female 29 Beauty 4 500 165 2000"
"1489 28/04/2023 18:30:00 2 Male 44 Electronics 1 30 10.5 30"
"1491 26/05/2023 22:14:00 107 Female 60 Electronics 3 300 129 900"
"1729 22/11/2023 18:55:00 82 Male 29 Clothing 4 300 81 1200"
"1822 09/09/2023 17:15:00 15 Female 52 Beauty 3 50 21 150"
"840 01/07/2023 18:59:00 60 Male 62 Clothing 2 25 11.75 50"
"1840 12/05/2023 20:22:00 138 Male 62 Clothing 2 25 11 50"
"404 13/02/2023 19:55:00 59 Male 46 Electronics 2 500 160 1000"
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