electricsheepafrica/africa-synth-telecom-survey-feedback-and-net-promoter-nigeria

Survey Feedback and Net Promoter Scores

Dataset Description

Customer satisfaction surveys with Net Promoter Score metrics

Dataset Information

• Category: Customer Experience and Sentiment
• Format: CSV, Parquet
• Rows: 250,000
• Columns: 16
• Date Generated: 2025-10-05
• Location: data/survey_feedback_and_net_promoter_scores/

Schema

Column	Type	Sample Values
survey_id	String	SRV00000001
survey_date	String	2025-09-21
customer_id	String	CUST2950101
operator	String	MTN
survey_type	String	csat
nps_score	Integer	1
nps_category	String	detractor
csat_score	Integer	5
network_quality_rating	Integer	2
customer_service_rating	Integer	2
value_for_money_rating	Integer	2
likelihood_to_recommend	Integer	4
city	String	Kaduna
customer_segment	String	medium
tenure_months	Integer	65
channel	String	app

Sample Data

  survey_id survey_date customer_id operator     survey_type  nps_score nps_category  csat_score  network_quality_rating  customer_service_rating  value_for_money_rating  likelihood_to_recommend   city customer_segment  tenure_months channel
SRV00000001  2025-09-21 CUST2950101      MTN            csat          1    detractor           5                       2                        2                       2                        4 Kaduna           medium             65     app
SRV00000002  2025-09-11 CUST6816967   Airtel            csat          7      passive           4                       5                        1                       2                        8  Lagos            heavy             71    call
SRV00000003  2025-09-28 CUST6943876      Glo network_quality          8      passive           5                       1                        5                       2                        2  Enugu            heavy            112   email

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/survey_feedback_and_net_promoter_scores/survey_feedback_and_net_promoter_scores.csv

Parquet (Recommended)

data/survey_feedback_and_net_promoter_scores/survey_feedback_and_net_promoter_scores.parquet

Loading the Dataset

Python (Pandas)

import pandas as pd

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

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

Python (PyArrow)

import pyarrow.parquet as pq

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

License

MIT License - For educational and research purposes

Citation

Nigerian Telecom Datasets - Survey Feedback and Net Promoter Scores
Generated: 2025-10-05
Category: Customer Experience and Sentiment
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.