Dataset Viewer
Auto-converted to Parquet
customer_id
stringlengths
11
11
subscription_start
stringdate
2024-10-12 11:13:33
2025-10-12 11:10:00
tier
stringclasses
4 values
shipments_year
int64
1
300
loyalty_points
int64
0
1.92k
active
bool
2 classes
CUS-0711924
2025-02-23 19:39:05
gold
7
325
true
CUS-1404357
2025-01-08 18:37:08
basic
33
207
true
CUS-0788757
2025-02-01 12:50:39
silver
15
380
true
CUS-1683103
2025-02-12 06:59:08
silver
31
384
true
CUS-1578462
2025-01-18 00:08:34
basic
20
629
true
CUS-0808820
2025-10-01 15:40:19
silver
20
495
true
CUS-1827919
2025-02-21 17:08:33
basic
19
1,062
true
CUS-1087720
2024-11-08 06:54:05
basic
8
0
true
CUS-1849785
2025-05-28 02:19:05
basic
171
869
true
CUS-1572487
2025-02-28 16:32:06
basic
17
196
true
CUS-0960480
2025-06-11 23:50:46
silver
46
1,039
true
CUS-1815062
2025-10-11 04:31:14
basic
34
232
true
CUS-1029793
2024-10-31 20:32:24
gold
185
510
true
CUS-0312538
2025-08-29 11:09:31
gold
46
747
false
CUS-1533264
2025-02-27 19:58:16
basic
23
634
true
CUS-0851054
2025-03-31 10:51:16
basic
28
0
true
CUS-0974492
2025-05-27 01:30:40
basic
62
512
true
CUS-1629089
2025-09-01 23:58:42
silver
25
161
true
CUS-1386574
2025-02-20 16:05:22
gold
7
1,284
true
CUS-0311571
2025-08-15 08:57:48
platinum
39
637
false
CUS-0015543
2024-10-20 19:58:58
basic
9
807
true
CUS-1119913
2024-11-23 12:06:10
gold
86
679
true
CUS-0126482
2025-05-07 01:29:35
gold
64
1,339
true
CUS-1515360
2024-10-16 09:23:16
basic
199
257
true
CUS-0407632
2025-06-25 15:13:52
platinum
5
121
true
CUS-1617667
2024-11-14 11:26:01
basic
47
894
true
CUS-0323726
2025-03-17 01:46:14
gold
23
895
false
CUS-1350148
2025-01-23 03:09:46
basic
75
473
true
CUS-1346818
2025-09-05 17:44:28
gold
72
227
false
CUS-0596348
2025-04-12 00:57:05
platinum
12
276
false
CUS-1281112
2025-08-06 21:51:38
platinum
49
785
true
CUS-1647949
2025-02-05 15:39:14
basic
98
658
true
CUS-0205833
2025-07-24 20:49:17
silver
25
689
true
CUS-0056837
2025-05-31 22:00:00
gold
28
438
true
CUS-0562041
2025-03-27 14:42:27
basic
64
356
true
CUS-1921852
2025-09-27 08:24:07
basic
211
252
true
CUS-0922234
2024-11-05 18:18:09
basic
29
633
true
CUS-0609770
2024-12-07 21:52:02
basic
14
383
true
CUS-1459250
2025-01-05 16:10:41
gold
40
138
true
CUS-0609906
2025-02-12 13:53:28
basic
206
719
false
CUS-0472194
2025-04-15 13:20:04
basic
213
830
true
CUS-1858147
2025-06-08 11:14:51
silver
62
479
false
CUS-0737251
2025-05-30 01:54:13
gold
20
557
true
CUS-0957810
2024-10-29 02:05:42
silver
17
250
true
CUS-1276830
2025-07-14 05:32:12
gold
53
989
false
CUS-1590450
2025-04-13 11:08:17
basic
33
585
true
CUS-1882446
2024-12-23 06:34:58
basic
12
687
true
CUS-0320113
2025-09-28 16:27:29
silver
21
280
true
CUS-0004306
2024-10-20 19:18:17
silver
59
193
true
CUS-1445829
2025-05-24 06:08:59
basic
95
312
true
CUS-1523985
2024-11-18 00:19:15
gold
66
822
false
CUS-1369429
2025-08-13 07:46:51
basic
47
504
true
CUS-1981399
2024-11-13 20:52:04
silver
52
713
false
CUS-0546307
2025-02-18 00:40:51
silver
9
179
false
CUS-1274901
2024-10-15 12:18:03
gold
19
505
true
CUS-1257691
2025-07-25 09:01:44
silver
30
834
false
CUS-1271145
2024-10-26 04:52:54
basic
45
40
true
CUS-0156238
2024-11-25 22:36:52
basic
76
824
true
CUS-0689430
2025-03-03 08:13:07
basic
28
544
true
CUS-1388823
2025-01-01 00:28:22
basic
130
786
true
CUS-1067726
2025-06-17 08:37:26
silver
17
507
true
CUS-0555512
2025-10-07 18:06:33
basic
15
0
true
CUS-1358740
2025-09-08 22:06:46
gold
67
976
true
CUS-1323298
2025-05-24 04:27:44
platinum
54
693
true
CUS-0437601
2024-11-01 08:57:39
gold
5
799
true
CUS-0668973
2025-02-12 02:05:42
silver
15
360
false
CUS-1661534
2025-03-01 01:30:09
gold
37
1,330
true
CUS-1491339
2025-05-07 15:19:55
silver
23
272
true
CUS-0891861
2025-05-08 18:53:37
basic
26
635
true
CUS-0563886
2025-05-25 15:42:27
gold
8
827
true
CUS-1969445
2025-04-23 01:42:15
silver
10
0
true
CUS-0887922
2025-01-09 20:45:15
silver
33
441
true
CUS-1060480
2025-05-24 08:08:32
gold
22
696
true
CUS-1277188
2025-03-10 13:31:36
silver
80
355
true
CUS-0549474
2025-10-11 22:16:08
silver
263
0
true
CUS-1140611
2024-10-25 00:37:17
basic
10
41
true
CUS-0610808
2024-12-27 05:53:53
gold
46
895
true
CUS-1886356
2025-09-03 06:59:42
basic
56
427
true
CUS-1149333
2025-01-26 10:20:00
basic
19
1,047
true
CUS-0958019
2025-05-14 22:25:34
silver
16
176
true
CUS-1854512
2024-12-25 22:23:45
basic
11
369
true
CUS-1098669
2025-01-17 00:19:14
gold
20
948
false
CUS-0770044
2024-10-16 02:56:28
basic
48
717
true
CUS-1887679
2024-10-20 05:24:16
silver
39
153
true
CUS-1344607
2024-10-29 04:23:09
silver
16
691
true
CUS-0039898
2025-07-25 06:53:02
basic
43
0
true
CUS-1161774
2025-01-16 17:41:35
platinum
17
565
false
CUS-1478697
2025-08-09 11:32:54
silver
24
730
true
CUS-1847966
2025-09-15 05:53:48
basic
35
0
true
CUS-1473917
2025-05-08 22:51:18
basic
27
0
false
CUS-0884378
2025-06-10 08:55:58
basic
19
445
true
CUS-1655686
2024-11-26 20:52:57
silver
47
522
true
CUS-0245900
2024-10-26 02:47:10
silver
21
350
false
CUS-0699150
2024-12-20 01:22:57
gold
13
947
true
CUS-1053885
2025-02-28 10:46:32
gold
29
1,054
false
CUS-1644829
2024-12-15 19:26:42
basic
41
216
true
CUS-0881910
2025-04-25 21:40:02
basic
15
824
true
CUS-1121035
2025-09-15 21:21:33
basic
23
25
true
CUS-1988687
2025-04-15 23:18:51
basic
64
0
true
CUS-1349031
2025-02-26 02:56:34
gold
10
1,260
true
End of preview. Expand in Data Studio
# Nigeria Transport & Logistics – Subscription & Loyalty

Customer subscription tier, shipments, points and activity status.

- **[category]** Customer & Service
- **[rows]** ~100,000
- **[formats]** CSV + Parquet (snappy)
- **[geography]** Nigeria (major cities, corridors, ports, airports)

## Schema

| column | dtype |

|---|---| | customer_id | object | | subscription_start | object | | tier | object | | shipments_year | int64 | | loyalty_points | int64 | | active | bool |

## Usage

```python
import pandas as pd
df = pd.read_parquet('data/nigerian_transport_and_logistics_subscription_loyalty/nigerian_transport_and_logistics_subscription_loyalty.parquet')
df.head()
```

```python
from datasets import load_dataset
ds = load_dataset('electricsheepafrica/nigerian_transport_and_logistics_subscription_loyalty')
ds
```

## Notes

- Nigeria-specific parameters (fleets, roads, traffic, fuel prices)
- Time-of-day traffic effects and seasonal impacts where applicable
- Physical plausibility checks embedded during generation
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Collection including electricsheepafrica/nigerian_transport_and_logistics_subscription_loyalty