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README.md

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+# Support Resolution Time Data
+
+## Dataset Description
+
+Time-to-resolution metrics for customer support issues
+
+## Dataset Information
+
+- **Category**: Customer Experience and Sentiment
+- **Format**: CSV, Parquet
+- **Rows**: 200,000
+- **Columns**: 14
+- **Date Generated**: 2025-10-05
+- **Location**: `data/support_resolution_time_data/`
+
+## Schema
+
+| Column | Type | Sample Values |
+|--------|------|---------------|
+| `ticket_id` | String | RES00000001 |
+| `created_at` | Datetime | 2025-09-28 06:30:00 |
+| `resolved_at` | Datetime | 2025-10-03 12:00:00 |
+| `operator` | String | 9mobile |
+| `issue_type` | String | recharge_failed |
+| `priority` | String | low |
+| `channel` | String | call_center |
+| `first_response_time_minutes` | Integer | 1273 |
+| `resolution_time_hours` | Float | 125.5 |
+| `sla_met` | Boolean | True |
+| `reopened` | Boolean | True |
+| `customer_satisfaction` | Integer | 2 |
+| `agent_id` | String | AGENT467 |
+| `touches` | Integer | 3 |
+
+## Sample Data
+
+```
+  ticket_id          created_at         resolved_at operator          issue_type priority     channel  first_response_time_minutes  resolution_time_hours  sla_met  reopened  customer_satisfaction agent_id  touches
+RES00000001 2025-09-28 06:30:00 2025-10-03 12:00:00  9mobile     recharge_failed      low call_center                         1273                  125.5     True      True                      2 AGENT467        3
+RES00000002 2025-09-26 15:39:00 2025-09-29 01:09:00   Airtel     billing_dispute   medium call_center                          132                   57.5     True     False                      5 AGENT520        3
+RES00000003 2025-09-03 13:34:00 2025-09-04 15:40:00      MTN value_added_service   medium         app                          192                   26.1     True     False                      1 AGENT244       10
+```
+
+## 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/support_resolution_time_data/support_resolution_time_data.csv
+```
+
+### Parquet (Recommended)
+```
+data/support_resolution_time_data/support_resolution_time_data.parquet
+```
+
+## Loading the Dataset
+
+### Python (Pandas)
+```python
+import pandas as pd
+
+# Load CSV
+df = pd.read_csv('data/support_resolution_time_data/support_resolution_time_data.csv')
+
+# Load Parquet (recommended for large datasets)
+df = pd.read_parquet('data/support_resolution_time_data/support_resolution_time_data.parquet')
+```
+
+### Python (PyArrow)
+```python
+import pyarrow.parquet as pq
+
+# Load Parquet
+table = pq.read_table('data/support_resolution_time_data/support_resolution_time_data.parquet')
+df = table.to_pandas()
+```
+
+## License
+
+MIT License - For educational and research purposes
+
+## Citation
+
+```
+Nigerian Telecom Datasets - Support Resolution Time Data
+Generated: 2025-10-05
+Category: Customer Experience and Sentiment
+Rows: 200,000
+```
+
+## 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.

support_resolution_time_data.csv

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support_resolution_time_data.parquet

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