Nigeria Transport & Logistics
Collection
A collection of Nigerian transport & logistics datasets.
•
43 items
•
Updated
order_id
stringlengths 13
13
| delivery_time
stringdate 2024-10-12 11:26:12
2025-10-12 11:08:43
| on_time
bool 2
classes | satisfaction_rating
int64 1
5
| nps
int64 -92
100
| issue_type
stringclasses 6
values |
|---|---|---|---|---|---|
ORD-004851816
|
2025-10-10 17:38:44
| true
| 4
| 28
|
none
|
ORD-000816383
|
2025-09-11 03:53:34
| true
| 3
| 27
|
rude_service
|
ORD-001947639
|
2025-07-29 09:46:59
| true
| 3
| 16
|
none
|
ORD-005328619
|
2025-05-24 03:44:48
| false
| 3
| 15
|
none
|
ORD-002462750
|
2024-12-28 19:18:44
| true
| 4
| 61
|
damaged
|
ORD-008079731
|
2025-08-19 00:02:59
| true
| 4
| 96
|
none
|
ORD-005432322
|
2025-08-27 05:52:34
| true
| 4
| 48
|
none
|
ORD-002175809
|
2025-03-09 02:27:51
| true
| 3
| 42
|
none
|
ORD-004578896
|
2025-04-23 18:08:31
| true
| 5
| 79
|
none
|
ORD-008215823
|
2024-12-20 16:15:09
| true
| 5
| 23
|
none
|
ORD-008491424
|
2025-08-27 01:39:43
| true
| 4
| 25
|
none
|
ORD-003514266
|
2025-06-25 11:11:55
| true
| 5
| 14
|
none
|
ORD-006661420
|
2025-07-21 10:18:36
| true
| 3
| 14
|
damaged
|
ORD-000821691
|
2025-01-23 11:31:34
| true
| 5
| 81
|
none
|
ORD-005154230
|
2025-03-23 18:47:22
| true
| 5
| 49
|
damaged
|
ORD-004452557
|
2025-04-11 06:03:15
| false
| 2
| -36
|
none
|
ORD-003769445
|
2025-08-27 06:57:35
| true
| 3
| 62
|
none
|
ORD-003263557
|
2024-10-16 01:52:46
| true
| 5
| 84
|
late
|
ORD-001737572
|
2025-03-10 05:48:08
| true
| 4
| 17
|
none
|
ORD-004993032
|
2025-01-30 07:29:31
| true
| 3
| 49
|
none
|
ORD-006836999
|
2025-04-05 22:12:32
| true
| 2
| 49
|
damaged
|
ORD-000425663
|
2025-03-24 17:18:51
| true
| 4
| 77
|
none
|
ORD-008853692
|
2025-08-03 09:55:16
| true
| 5
| 5
|
none
|
ORD-004047824
|
2025-01-15 03:54:51
| true
| 4
| 38
|
none
|
ORD-001219096
|
2024-11-20 09:02:57
| true
| 5
| 76
|
none
|
ORD-008317119
|
2024-12-09 18:42:51
| true
| 5
| 70
|
none
|
ORD-009949396
|
2025-05-01 17:51:53
| true
| 3
| 87
|
none
|
ORD-003573163
|
2025-03-24 14:06:57
| true
| 3
| 29
|
none
|
ORD-009461499
|
2024-12-07 19:39:07
| true
| 4
| 11
|
none
|
ORD-001362493
|
2024-12-02 19:55:03
| true
| 4
| 50
|
none
|
ORD-004772541
|
2025-01-12 08:38:20
| true
| 5
| 33
|
address_issue
|
ORD-000404534
|
2025-08-26 13:37:47
| true
| 4
| 50
|
none
|
ORD-001551643
|
2025-05-18 18:39:26
| false
| 3
| 16
|
none
|
ORD-002946488
|
2024-11-11 10:51:05
| true
| 3
| 39
|
damaged
|
ORD-006474507
|
2025-04-22 20:23:09
| true
| 4
| 79
|
none
|
ORD-004375279
|
2025-06-09 21:30:06
| true
| 3
| 33
|
none
|
ORD-008343476
|
2024-11-10 10:20:27
| true
| 4
| 11
|
none
|
ORD-006523345
|
2024-12-22 13:04:39
| true
| 5
| 48
|
none
|
ORD-008507649
|
2025-10-11 03:23:37
| true
| 4
| 27
|
none
|
ORD-004762910
|
2025-09-29 20:43:38
| false
| 4
| 56
|
none
|
ORD-007103519
|
2024-11-08 00:54:02
| true
| 5
| 35
|
none
|
ORD-004700420
|
2025-01-16 18:42:01
| true
| 4
| 49
|
none
|
ORD-001436497
|
2025-05-13 04:33:47
| true
| 3
| 11
|
none
|
ORD-001196485
|
2024-11-17 16:21:02
| true
| 4
| 23
|
none
|
ORD-009191244
|
2024-11-23 07:01:04
| true
| 4
| -19
|
none
|
ORD-003383956
|
2025-10-12 04:45:35
| true
| 4
| 47
|
none
|
ORD-000560871
|
2025-01-27 16:58:46
| true
| 4
| 37
|
none
|
ORD-009627923
|
2025-01-15 01:34:30
| true
| 4
| 62
|
none
|
ORD-003491980
|
2025-09-14 21:21:32
| true
| 4
| 18
|
none
|
ORD-002182898
|
2025-04-16 22:44:35
| true
| 4
| 51
|
address_issue
|
ORD-005273267
|
2025-08-18 14:10:01
| true
| 5
| 16
|
none
|
ORD-001763659
|
2024-12-30 13:37:11
| true
| 4
| 16
|
none
|
ORD-007703786
|
2024-12-31 08:35:03
| true
| 4
| 24
|
none
|
ORD-000110843
|
2025-08-26 23:24:40
| true
| 4
| 90
|
none
|
ORD-005815284
|
2025-02-01 21:34:19
| true
| 5
| -6
|
none
|
ORD-006074190
|
2025-04-26 11:56:44
| true
| 5
| 3
|
none
|
ORD-007805570
|
2024-12-01 14:42:47
| true
| 4
| 69
|
damaged
|
ORD-004921396
|
2025-07-08 12:35:03
| true
| 4
| 46
|
none
|
ORD-002799867
|
2025-08-03 17:41:16
| true
| 2
| 21
|
none
|
ORD-005076125
|
2025-05-14 13:04:11
| true
| 5
| 78
|
none
|
ORD-002513774
|
2024-10-17 13:03:44
| true
| 2
| 33
|
none
|
ORD-004986621
|
2025-07-25 10:20:38
| false
| 2
| -6
|
wrong_item
|
ORD-005875177
|
2025-08-06 18:01:24
| false
| 3
| 32
|
late
|
ORD-008529602
|
2025-08-21 01:24:04
| true
| 5
| 40
|
none
|
ORD-009004247
|
2025-04-25 10:35:28
| true
| 4
| 29
|
rude_service
|
ORD-009752722
|
2025-08-18 07:31:16
| true
| 5
| 31
|
rude_service
|
ORD-001660119
|
2024-12-06 18:19:16
| true
| 4
| 23
|
none
|
ORD-005580034
|
2025-03-22 06:44:29
| true
| 5
| 40
|
none
|
ORD-007867473
|
2025-08-17 01:42:45
| true
| 4
| 76
|
late
|
ORD-003764091
|
2025-05-13 21:58:14
| true
| 4
| 59
|
late
|
ORD-006242606
|
2024-11-10 05:50:19
| true
| 3
| 46
|
none
|
ORD-001622440
|
2024-10-25 18:26:12
| true
| 3
| 18
|
late
|
ORD-009775293
|
2025-04-29 18:33:34
| true
| 3
| 75
|
none
|
ORD-002353344
|
2025-10-12 01:07:23
| true
| 4
| 42
|
none
|
ORD-005810380
|
2024-11-13 13:17:59
| false
| 3
| 0
|
none
|
ORD-000885273
|
2024-11-26 01:15:43
| true
| 4
| 59
|
wrong_item
|
ORD-008066016
|
2025-06-15 21:28:21
| true
| 3
| 33
|
none
|
ORD-006003977
|
2025-09-12 14:38:44
| true
| 5
| 37
|
none
|
ORD-002578958
|
2025-06-28 08:15:37
| true
| 3
| 20
|
address_issue
|
ORD-004406924
|
2025-01-01 15:16:45
| true
| 3
| 61
|
none
|
ORD-002627232
|
2025-06-09 23:27:29
| true
| 3
| 81
|
none
|
ORD-004817919
|
2025-09-19 07:42:47
| true
| 4
| 55
|
none
|
ORD-000855873
|
2025-09-12 18:19:17
| true
| 4
| 78
|
none
|
ORD-005377697
|
2025-06-07 07:46:33
| true
| 3
| 90
|
none
|
ORD-006110464
|
2025-06-08 15:44:20
| true
| 4
| 18
|
late
|
ORD-006830357
|
2025-07-22 18:10:18
| true
| 4
| 50
|
none
|
ORD-002027942
|
2025-04-16 19:45:02
| true
| 3
| 45
|
late
|
ORD-001777744
|
2025-04-10 13:30:39
| true
| 5
| 18
|
none
|
ORD-002691743
|
2025-04-30 01:16:27
| true
| 5
| 80
|
none
|
ORD-001867885
|
2025-03-10 23:11:33
| true
| 4
| 55
|
none
|
ORD-002357526
|
2025-04-22 05:36:45
| true
| 4
| 33
|
none
|
ORD-006253214
|
2025-06-06 19:30:20
| true
| 3
| 49
|
rude_service
|
ORD-002464303
|
2025-03-02 12:11:44
| true
| 4
| 67
|
none
|
ORD-002603102
|
2025-09-24 00:26:55
| true
| 5
| 32
|
none
|
ORD-007003868
|
2025-03-29 15:16:55
| true
| 4
| 65
|
none
|
ORD-000234589
|
2025-06-07 18:59:10
| true
| 3
| 0
|
none
|
ORD-008403096
|
2025-04-10 18:26:15
| true
| 5
| 19
|
none
|
ORD-007118185
|
2024-11-26 04:36:54
| true
| 3
| 55
|
none
|
ORD-005028628
|
2025-08-16 02:46:29
| true
| 3
| 51
|
none
|
ORD-003535209
|
2024-11-27 18:19:00
| true
| 3
| 11
|
none
|
End of preview. Expand
in Data Studio
# Nigeria Transport & Logistics – Delivery Satisfaction
Order delivery satisfaction rating, NPS and issue type, with on-time flag.
- **[category]** Customer & Service
- **[rows]** ~140,000
- **[formats]** CSV + Parquet (snappy)
- **[geography]** Nigeria (major cities, corridors, ports, airports)
## Schema
| column | dtype |
|---|---| | order_id | object | | delivery_time | object | | on_time | bool | | satisfaction_rating | int64 | | nps | int64 | | issue_type | object |
## Usage
```python
import pandas as pd
df = pd.read_parquet('data/nigerian_transport_and_logistics_delivery_satisfaction/nigerian_transport_and_logistics_delivery_satisfaction.parquet')
df.head()
```
```python
from datasets import load_dataset
ds = load_dataset('electricsheepafrica/nigerian_transport_and_logistics_delivery_satisfaction')
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
- Downloads last month
- 28
Size of downloaded dataset files:
2.91 MB
Size of the auto-converted Parquet files:
2.91 MB
Number of rows:
140,000