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README.md

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+# Edge Computing Load Data
+
+## Dataset Description
+
+Processing demand and resource utilization across edge nodes
+
+## Dataset Information
+
+- **Category**: Emerging and Advanced
+- **Format**: CSV, Parquet
+- **Rows**: 250,000
+- **Columns**: 14
+- **Date Generated**: 2025-10-05
+- **Location**: `data/edge_computing_load_data/`
+
+## Schema
+
+| Column | Type | Sample Values |
+|--------|------|---------------|
+| `edge_node_id` | String | EDGEIBA08 |
+| `timestamp` | Datetime | 2025-09-17 03:43:00 |
+| `city` | String | Ibadan |
+| `application` | String | ai_inference |
+| `cpu_utilization_percent` | Float | 29.48 |
+| `memory_utilization_percent` | Float | 31.55 |
+| `storage_utilization_percent` | Float | 45.91 |
+| `network_throughput_gbps` | Float | 45.87 |
+| `active_sessions` | Integer | 354 |
+| `requests_per_second` | Integer | 4010 |
+| `avg_response_time_ms` | Float | 17.74 |
+| `cache_hit_ratio_percent` | Float | 94.33 |
+| `operator` | String | Airtel |
+| `load_status` | String | low |
+
+## Sample Data
+
+```
+edge_node_id           timestamp          city  application  cpu_utilization_percent  memory_utilization_percent  storage_utilization_percent  network_throughput_gbps  active_sessions  requests_per_second  avg_response_time_ms  cache_hit_ratio_percent operator load_status
+   EDGEIBA08 2025-09-17 03:43:00        Ibadan ai_inference                    29.48                       31.55                        45.91                    45.87              354                 4010                 17.74                      NaN   Airtel         low
+   EDGEABU16 2025-09-25 23:00:00         Abuja          cdn                    60.74                       71.20                        71.30                     7.46             1450                 8380                 30.32                      NaN   Airtel      medium
+   EDGEPOR10 2025-09-06 08:31:00 Port Harcourt       gaming                    33.51                       34.85                        35.10                    46.08              182                 7820                 36.89                      NaN   Airtel         low
+```
+
+## 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/edge_computing_load_data/edge_computing_load_data.csv
+```
+
+### Parquet (Recommended)
+```
+data/edge_computing_load_data/edge_computing_load_data.parquet
+```
+
+## Loading the Dataset
+
+### Python (Pandas)
+```python
+import pandas as pd
+
+# Load CSV
+df = pd.read_csv('data/edge_computing_load_data/edge_computing_load_data.csv')
+
+# Load Parquet (recommended for large datasets)
+df = pd.read_parquet('data/edge_computing_load_data/edge_computing_load_data.parquet')
+```
+
+### Python (PyArrow)
+```python
+import pyarrow.parquet as pq
+
+# Load Parquet
+table = pq.read_table('data/edge_computing_load_data/edge_computing_load_data.parquet')
+df = table.to_pandas()
+```
+
+## License
+
+MIT License - For educational and research purposes
+
+## Citation
+
+```
+Nigerian Telecom Datasets - Edge Computing Load Data
+Generated: 2025-10-05
+Category: Emerging and Advanced
+Rows: 250,000
+```
+
+## 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.

edge_computing_load_data.csv

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edge_computing_load_data.parquet

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