electricsheepafrica/nigerian-telecom-base-station-uptime-logs

Base Station Uptime Logs

Dataset Description

Daily uptime and availability metrics for cell towers

Dataset Information

• Category: Infrastructure and Maintenance
• Format: CSV, Parquet
• Rows: 100,000
• Columns: 11
• Date Generated: 2025-10-05
• Location: data/base_station_uptime_logs/

Schema

Column	Type	Sample Values
tower_id	String	LAG-9732
date	String	2025-09-22
operator	String	9mobile
city	String	Lagos
state	String	Lagos
uptime_percentage	Float	98.29
downtime_minutes	Float	24.62
outage_count	Integer	3
outage_reason	String	fiber_cut
network_type	String	4G
avg_users_affected	Integer	0

Sample Data

tower_id       date operator    city   state  uptime_percentage  downtime_minutes  outage_count outage_reason network_type  avg_users_affected
LAG-9732 2025-09-22  9mobile   Lagos   Lagos              98.29             24.62             3          None           4G                   0
KAD-7525 2025-09-12  9mobile  Kaduna Bayelsa              91.57            121.39             4     fiber_cut           4G                 145
ONI-4929 2025-09-30      MTN Onitsha Adamawa              98.69             18.86             4          None           4G                   0

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/base_station_uptime_logs/base_station_uptime_logs.csv

Parquet (Recommended)

data/base_station_uptime_logs/base_station_uptime_logs.parquet

Loading the Dataset

Python (Pandas)

import pandas as pd

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

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

Python (PyArrow)

import pyarrow.parquet as pq

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

License

MIT License - For educational and research purposes

Citation

Nigerian Telecom Datasets - Base Station Uptime Logs
Generated: 2025-10-05
Category: Infrastructure and Maintenance
Rows: 100,000

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.