---
license: gpl
task_categories:
- text-classification
language:
- en
tags:
- telecom
- iot
- m2m
size_categories:
- 100K<n<1M
---
# Internet of Things Machine to Machine Traffic

## Dataset Description

Communication logs from IoT and Machine-to-Machine devices across various industries

## Dataset Information

- **Category**: Network Performance and Operations
- **Format**: CSV, Parquet
- **Rows**: 300,000
- **Columns**: 12
- **Date Generated**: 2025-10-05
- **Location**: `data/internet_of_things_machine_to_machine_traffic/`

## Schema

| Column | Type | Sample Values |
|--------|------|---------------|
| `transaction_id` | String | IOT00000001 |
| `timestamp` | Datetime | 2025-09-22 07:09:29 |
| `device_id` | String | AGR21159 |
| `device_type` | String | agricultural_sensor |
| `operator` | String | 9mobile |
| `tower_id` | String | JOS-6198 |
| `city` | String | Jos |
| `data_size_mb` | Float | 0.099 |
| `connection_duration_seconds` | Integer | 103 |
| `network_type` | String | 5G |
| `transmission_status` | String | timeout |
| `signal_quality` | String | poor |

## Sample Data

```
transaction_id           timestamp device_id         device_type operator tower_id  city  data_size_mb  connection_duration_seconds network_type transmission_status signal_quality
   IOT00000001 2025-09-22 07:09:29  AGR21159 agricultural_sensor  9mobile JOS-6198   Jos         0.099                          103           5G             timeout           poor
   IOT00000002 2025-09-01 08:39:39  POS65903        pos_terminal  9mobile WAR-5512 Warri         0.039                           48           4G             success           good
   IOT00000003 2025-09-30 23:14:58  SEC66073     security_camera      Glo WAR-2379 Warri         1.295                          122           4G             success           fair
```

## Nigerian Context

This dataset incorporates authentic Nigerian telecommunications characteristics:

- **Geographic Coverage**: Major Nigerian cities including Lagos, Abuja, Kano, Port Harcourt, Ibadan
- **Operators**: MTN, Airtel, Glo, 9mobile with realistic market shares
- **Phone Numbers**: Nigerian format (+234 prefixes)
- **Currency**: Nigerian Naira (NGN)
- **Time Zone**: West Africa Time (WAT, UTC+1)
- **Network Types**: 2G, 3G, 4G, 5G distribution

## File Formats

### CSV
```
data/internet_of_things_machine_to_machine_traffic/internet_of_things_machine_to_machine_traffic.csv
```

### Parquet (Recommended)
```
data/internet_of_things_machine_to_machine_traffic/internet_of_things_machine_to_machine_traffic.parquet
```

## Loading the Dataset

### Python (Pandas)
```python
import pandas as pd

# Load CSV
df = pd.read_csv('data/internet_of_things_machine_to_machine_traffic/internet_of_things_machine_to_machine_traffic.csv')

# Load Parquet (recommended for large datasets)
df = pd.read_parquet('data/internet_of_things_machine_to_machine_traffic/internet_of_things_machine_to_machine_traffic.parquet')
```

### Python (PyArrow)
```python
import pyarrow.parquet as pq

# Load Parquet
table = pq.read_table('data/internet_of_things_machine_to_machine_traffic/internet_of_things_machine_to_machine_traffic.parquet')
df = table.to_pandas()
```

## License

MIT License - For educational and research purposes

## Citation

```
Nigerian Telecom Datasets - Internet of Things Machine to Machine Traffic
Generated: 2025-10-05
Category: Network Performance and Operations
Rows: 300,000
```

## Related Datasets

This dataset is part of the Nigerian Telecom Datasets collection, which includes 34 datasets covering network performance, customer behavior, financial transactions, infrastructure, geospatial data, customer experience, and emerging technologies.