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PIA Customer Feedback Dataset
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides customer reviews for PIA Experience, gathered through web scraping from airlinequality.com. It is specifically designed for data science and analytics applications, offering valuable insights into customer sentiment and feedback. The data is suitable for various analytical tasks, including modelling, predictive analysis, feature engineering, and exploratory data analysis (EDA). Users should note that the data requires an initial cleaning phase due to the presence of null values.
Columns
- reviews: Contains individual customer feedback entries pertaining to their experience with PIA. This column features approximately 160 distinct review entries.
Distribution
The dataset is provided as a CSV file. While the 'reviews' column contains 160 unique values, the exact total number of rows or records in the dataset is not explicitly detailed. It is structured in a tabular format, making it straightforward for data processing.
Usage
This dataset is ideally suited for a variety of applications, including:
- Modelling
- Predictive analysis
- Feature engineering
- Exploratory Data Analysis (EDA)
- Natural Language Processing (NLP) tasks, such as sentiment analysis or topic modelling.
Coverage
The dataset's focus is primarily on customer reviews from the Asia region. It was listed on 17 June 2025, and the content relates specifically to the experiences of customers using PIA.
License
CC0
Who Can Use It
This dataset is beneficial for a range of users, including:
- Data scientists looking to develop predictive models or perform advanced feature engineering.
- Data analysts interested in conducting exploratory data analysis to uncover trends and patterns.
- Researchers studying customer satisfaction, service quality, or airline industry performance.
- Developers working on natural language processing solutions, particularly those focused on text analytics from customer feedback.
Dataset Name Suggestions
- PIA Customer Feedback
- PIA Experience Reviews
- Airline Customer Sentiment - PIA
- PIA Passenger Reviews
- PIA Service Review Data
Attributes
Original Data Source: PIA Customer Reviews
QUALITY