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Google Pay App Performance Data
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides detailed information about user reviews for the Google Pay application, collected from the Google Play Store. The context of this data is the widespread use of Unified Payments Interface (UPI) as the primary payment method in India, with Google Pay, PhonePe, and Paytm being major players. The purpose of compiling these reviews is to enable a comparative analysis of UPI applications based on user feedback, offering insights into aspects such as app usability, user interface effectiveness, occurrences of technical glitches, and overall customer satisfaction. The dataset serves as a valuable resource for understanding the nuances of user experience with a prominent mobile payment app.
Columns
- Review Number: A numerical identifier for each user review.
- reviewId: A unique identification string for every review.
- userName: The name of the individual who submitted the review.
- userImage: A web link to the user's profile picture or image.
- content: The complete text of the user's written review.
- score: A rating on a scale from 1 to 5, where 1 denotes a negative review and 5 indicates a positive one.
- thumbsUpCount: The total count of 'thumbs up' or upvotes received by the review.
- reviewCreatedVersion: The specific version of the Google Pay app that was reviewed.
- at: The date and time stamp indicating when the review was posted.
- replyContent: The text of any response provided by the app management team to the user's review.
Distribution
The dataset is typically provided in a CSV file format. It contains approximately 33,183 unique review identifiers. The review scores exhibit a notable distribution, with a substantial portion of reviews (19,046) having a high rating between 4.80 and 5.00, while 8,618 reviews are rated between 1.00 and 1.20. The majority of reviews (33,962) have a 'thumbsUpCount' ranging from 0.00 to 96.05. The data is structured with distinct columns to capture comprehensive details of each review.
Usage
This dataset is ideal for:
- Conducting data science and analytics to understand user sentiment and behaviour towards payment applications.
- Performing natural language processing (NLP) tasks such as sentiment analysis, topic modelling, and keyword extraction from user review content.
- Comparing the usability, user interface, and technical performance of Google Pay against other UPI payment applications in India.
- Identifying common technical glitches and areas for improvement in the Google Pay app based on direct user feedback.
- Assessing overall customer satisfaction and identifying factors influencing positive and negative app experiences.
Coverage
- Geographic Scope: The reviews are specific to users primarily located in India, reflecting the usage patterns and issues within the Indian UPI payment ecosystem.
- Time Range: The reviews span a period from 1st October 2019 to 18th November 2021.
- Demographic Scope: The dataset reflects the experiences of a diverse user base of the Google Pay app on the Google Play Store.
License
CC0
Who Can Use It
- Data Scientists and Analysts: For sentiment analysis, trend identification, and performance benchmarking of mobile applications.
- Product Managers: To gather user feedback, prioritise feature development, and address critical issues reported by users.
- UX/UI Designers: To gain insights into user interface preferences and usability challenges.
- Researchers: For academic studies on mobile payment trends, user behaviour, and app review analysis.
- Business Intelligence Professionals: For competitive analysis within the Indian mobile payment market.
Dataset Name Suggestions
- Google Pay User Reviews India
- Google Play Store GPay Feedback
- Indian Google Pay App Reviews
- Google Pay App Performance Data
- UPI Google Pay User Insights
Attributes
Original Data Source: UPI Payment Apps review - Google Play Store
QUALITY