orders

86,710 rows

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Suggested facets: order_type, prep_time_minutes, order_at (date)

Link rowid ▼ order_id order_at order_type total_price customer_id prep_time_minutes
1 1 1 2022-01-01 10:47:17 In-house 44.3 4013 12.0
2 2 2 2022-01-01 18:12:45 In-house 107.70000000000002 8929 17.0
3 3 3 2022-01-01 16:06:22 Delivery 59.199999999999996 5636 17.0
4 4 4 2022-01-01 21:04:02 In-house 70.8 3734 13.0
5 5 5 2022-01-01 20:41:04 In-house 59.3 9981 16.0
6 6 6 2022-01-01 10:14:52 In-house 128.20000000000002 526 16.0
7 7 7 2022-01-01 12:16:08 In-house 59.199999999999996 4041 13.0
8 8 8 2022-01-01 12:40:10 In-house 50.4 6917 15.0
9 9 9 2022-01-01 21:07:43 Delivery 57.8 8798 16.0
10 10 10 2022-01-01 11:55:40 In-house 59.3 4890 18.0
11 11 11 2022-01-01 11:59:23 In-house 66.9 5039 16.0
12 12 12 2022-01-01 12:08:42 In-house 42.3 7788 18.0
13 13 13 2022-01-01 16:42:41 In-house 91.3 6119 13.0
14 14 14 2022-01-01 10:55:21 Delivery 51.3 1161 13.0
15 15 15 2022-01-01 13:06:06 In-house 65.6 7063 16.0
16 16 16 2022-01-01 13:12:34 Delivery 77.69999999999999 7351 17.0
17 17 17 2022-01-01 11:59:48 In-house 78.69999999999999 3873 17.0
18 18 18 2022-01-01 17:18:27 In-house 120.3 9106 14.0
19 19 19 2022-01-01 18:05:54 Delivery 18.8 3045 9.0
20 20 20 2022-01-01 20:37:36 Delivery 101.19999999999999 8566 16.0
21 21 21 2022-01-01 17:39:36 Delivery 53.8 1639 14.0
22 22 22 2022-01-01 21:19:39 In-house 20.0 8667 12.0
23 23 23 2022-01-01 11:47:35 Delivery 96.2 2547 16.0
24 24 24 2022-01-01 15:49:08 Delivery 42.699999999999996 4292 13.0
25 25 25 2022-01-01 12:27:08 In-house 65.6 686 12.0
26 26 26 2022-01-01 16:39:47 In-house 37.699999999999996 2533 12.0
27 27 27 2022-01-01 20:55:47 In-house 61.199999999999996 4066 12.0
28 28 28 2022-01-01 13:14:01 In-house 75.1 3165 16.0
29 29 29 2022-01-01 14:02:06 In-house 102.5 9775 16.0
30 30 30 2022-01-01 21:47:42 In-house 61.199999999999996 3229 14.0
31 31 31 2022-01-01 16:44:18 In-house 83.3 9084 17.0
32 32 32 2022-01-01 10:19:18 In-house 64.1 3444 17.0
33 33 33 2022-01-01 19:21:05 In-house 107.19999999999999 3849 17.0
34 34 34 2022-01-01 13:45:44 In-house 128.70000000000002 6292 17.0
35 35 35 2022-01-01 10:35:15 In-house 64.69999999999999 1989 17.0
36 36 36 2022-01-01 18:28:57 In-house 101.3 2608 17.0
37 37 37 2022-01-01 11:08:09 In-house 113.5 3789 17.0
38 38 38 2022-01-01 19:24:30 In-house 81.4 97 17.0
39 39 39 2022-01-01 14:27:31 In-house 97.7 476 15.0
40 40 40 2022-01-01 20:27:08 Delivery 89.9 7565 17.0
41 41 41 2022-01-01 11:30:01 In-house 75.4 8838 17.0
42 42 42 2022-01-01 13:53:01 In-house 39.3 2497 12.0
43 43 43 2022-01-01 21:45:07 In-house 55.8 2684 12.0
44 44 44 2022-01-01 21:49:19 Delivery 18.4 9838 10.0
45 45 45 2022-01-01 16:52:31 Delivery 90.1 1730 17.0
46 46 46 2022-01-01 21:37:17 In-house 30.299999999999997 5281 10.0
47 47 47 2022-01-01 17:54:20 Delivery 140.5 2980 17.0
48 48 48 2022-01-01 13:44:30 In-house 97.7 8042 15.0
49 49 49 2022-01-01 15:44:29 In-house 94.80000000000001 4439 15.0
50 50 50 2022-01-01 18:38:18 In-house 101.9 1648 15.0
51 51 51 2022-01-01 21:08:40 In-house 22.8 8043 10.0
52 52 52 2022-01-01 11:25:31 Delivery 22.799999999999997 1214 9.0
53 53 53 2022-01-01 19:14:49 In-house 80.7 8562 16.0
54 54 54 2022-01-01 13:11:35 Delivery 61.699999999999996 1230 14.0
55 55 55 2022-01-01 13:59:16 Delivery 46.3 9664 13.0
56 56 56 2022-01-01 19:58:18 In-house 37.8 7196 14.0
57 57 57 2022-01-01 19:02:56 In-house 63.599999999999994 7079 17.0
58 58 58 2022-01-01 19:02:48 In-house 85.1 2871 15.0
59 59 59 2022-01-01 12:21:26 In-house 68.0 8118 14.0
60 60 60 2022-01-01 10:42:55 In-house 131.7 8890 15.0
61 61 61 2022-01-01 20:38:51 Delivery 50.3 3921 13.0
62 62 62 2022-01-01 14:32:45 In-house 83.7 4480 16.0
63 63 63 2022-01-01 15:59:50 In-house 61.8 8319 15.0
64 64 64 2022-01-01 18:48:34 Delivery 104.5 6181 17.0
65 65 65 2022-01-01 20:09:31 In-house 41.9 607 15.0
66 66 66 2022-01-01 16:55:41 In-house 14.8 2530 9.0
67 67 67 2022-01-01 20:54:34 In-house 46.2 6227 10.0
68 68 68 2022-01-01 11:48:40 In-house 93.10000000000001 1647 17.0
69 69 69 2022-01-01 12:11:05 In-house 81.7 9986 15.0
70 70 70 2022-01-01 18:10:04 Delivery 77.8 7238 17.0
71 71 71 2022-01-01 14:44:18 Delivery 77.7 360 18.0
72 72 72 2022-01-01 19:16:43 In-house 24.8 2241 10.0
73 73 73 2022-01-01 11:58:18 In-house 101.5 5353 15.0
74 74 74 2022-01-01 14:47:55 In-house 32.8 5550 18.0
75 75 75 2022-01-01 18:23:05 In-house 36.8 6465 14.0
76 76 76 2022-01-01 11:43:14 In-house 17.8 7725 9.0
77 77 77 2022-01-01 17:58:44 In-house 85.30000000000001 4952 14.0
78 78 78 2022-01-01 19:47:46 In-house 52.699999999999996 2532 12.0
79 79 79 2022-01-01 20:23:34 Delivery 71.4 5877 17.0
80 80 80 2022-01-01 19:01:03 In-house 35.3 5465 11.0
81 81 81 2022-01-01 12:50:57 Delivery 35.8 9765 18.0
82 82 82 2022-01-01 13:37:20 Delivery 64.3 259 15.0
83 83 83 2022-01-01 18:14:39 Delivery 71.19999999999999 711 17.0
84 84 84 2022-01-01 12:04:08 Delivery 83.4 4506 17.0
85 85 85 2022-01-01 13:27:28 In-house 117.69999999999999 3744 18.0
86 86 86 2022-01-01 11:05:27 Delivery 49.199999999999996 1583 9.0
87 87 87 2022-01-01 21:03:18 In-house 70.4 9838 16.0
88 88 88 2022-01-01 19:14:51 In-house 20.8 7031 11.0
89 89 89 2022-01-01 12:55:09 Delivery 71.5 9279 10.0
90 90 90 2022-01-01 10:09:10 In-house 50.8 816 15.0
91 91 91 2022-01-01 11:18:43 Delivery 103.5 9718 14.0
92 92 92 2022-01-01 21:27:11 Delivery 75.3 2117 16.0
93 93 93 2022-01-01 16:45:40 In-house 95.80000000000001 6844 15.0
94 94 94 2022-01-01 16:37:25 Delivery 49.4 8585 14.0
95 95 95 2022-01-01 18:12:57 Delivery 51.199999999999996 5725 11.0
96 96 96 2022-01-01 19:48:37 In-house 61.6 7355 17.0
97 97 97 2022-01-01 17:28:02 Delivery 58.8 933 16.0
98 98 98 2022-01-01 17:58:51 In-house 39.699999999999996 9367 18.0
99 99 99 2022-01-01 11:32:41 In-house 54.4 2828 15.0
100 100 100 2022-01-01 15:43:38 Delivery 56.199999999999996 858 16.0

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CREATE TABLE "orders" ("order_id" BIGINT, "order_at" TIMESTAMP_NS, "order_type" VARCHAR, "total_price" DOUBLE, "customer_id" BIGINT, "prep_time_minutes" DOUBLE);