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Global Customer Feedback
Data Science and Analytics
Tags and Keywords
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"No reviews yet"
Free
About
This dataset contains customer review data intended for in-depth analysis of product feedback. It offers raw text reviews alongside numerical ratings, dates, and geographic information, making it suitable for understanding customer sentiment and identifying key topics of discussion. The data is initially messy and requires cleaning to prepare for analytical models.
Columns
- reviews: The raw text content of customer reviews, which will be purely text-based and may require extensive cleaning.
- rates: Numerical ratings provided by customers, ranging from 1.00 to 10.00. The distribution shows varying counts across these rating bands.
- date: The date when each customer review was submitted.
- country: The country of origin for the reviewer.
Distribution
The dataset is typically provided in a CSV file format. It includes distributions for both review content and numerical ratings. While an exact row count is not explicitly stated, the data distributions suggest several thousands of records. For instance, review-related data is organised into ten bands, each containing around 341 or 342 entries, indicating a substantial volume. Similarly, ratings are distributed across ten bands, with the most frequent rating band (1.00 - 1.90) containing 745 entries.
Usage
This dataset is ideal for various data science and analytics applications, including:
- Data cleaning and preparation: Transforming raw, messy text into structured data.
- Text analysis: Uncovering insights from customer feedback.
- Topic modelling: Identifying prevailing themes and subjects within reviews.
- Sentiment analysis: Determining the overall sentiment (positive, negative, neutral) expressed in reviews.
- Word cloud generation: Visualising frequently used words and phrases.
Coverage
The geographic scope of the dataset primarily covers:
- United Kingdom: Approximately 63% of the data.
- United States: Approximately 11% of the data.
- Other countries: Accounting for the remaining 26% of the data. The time range is captured in the 'date' column, though specific start and end dates are not provided. Demographic information beyond country is not detailed.
License
CC0 License
Who Can Use It
This dataset is particularly beneficial for:
- Data scientists: For developing and testing machine learning models related to text processing and prediction.
- Analysts: For extracting insights into customer satisfaction, product performance, and market trends.
- Researchers: For academic studies on consumer behaviour and sentiment.
- Businesses: For enhancing customer service, refining product development, and informing marketing strategies based on direct feedback.
Dataset Name Suggestions
- Customer Product Reviews
- Global Customer Feedback
- User Rating Analysis
- Product Review Data
Attributes
Original Data Source: Airways_customer_data
QUALITY