electricsheepafrica/nigerian-telecom-application-data-consumption-breakdown

Application Data Consumption Breakdown

Dataset Description

Detailed data usage by application and service type

Dataset Information

• Category: Customer and User Behavior
• Format: CSV, Parquet
• Rows: 800,000
• Columns: 10
• Date Generated: 2025-10-05
• Location: data/application_data_consumption_breakdown/

Schema

Column	Type	Sample Values
session_id	String	SES00000001
timestamp	Datetime	2025-09-22 19:00:00
customer_id	String	CUST5094019
operator	String	9mobile
app_name	String	TikTok
app_category	String	streaming
data_consumed_mb	Float	184.76
session_duration_minutes	Integer	30
network_type	String	4G
time_of_day	String	evening

Sample Data

 session_id           timestamp customer_id operator app_name app_category  data_consumed_mb  session_duration_minutes network_type time_of_day
SES00000001 2025-09-22 19:00:00 CUST5094019  9mobile   TikTok    streaming            184.76                        30           4G     evening
SES00000002 2025-09-03 06:00:00 CUST9538489   Airtel  YouTube    streaming            425.42                        40           3G     morning
SES00000003 2025-09-23 16:00:00 CUST7979512      MTN   TikTok    streaming            206.90                         4           3G   afternoon

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/application_data_consumption_breakdown/application_data_consumption_breakdown.csv

Parquet (Recommended)

data/application_data_consumption_breakdown/application_data_consumption_breakdown.parquet

Loading the Dataset

Python (Pandas)

import pandas as pd

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

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

Python (PyArrow)

import pyarrow.parquet as pq

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

License

MIT License - For educational and research purposes

Citation

Nigerian Telecom Datasets - Application Data Consumption Breakdown
Generated: 2025-10-05
Category: Customer and User Behavior
Rows: 800,000

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.