Dark Mode
Playstore Review Analytics Data
Reviews & Ratings
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset is a collection of user reviews for various Google Apps available on the Play Store. It provides detailed insights into user feedback, ratings, and engagement with different applications. The dataset's primary purpose is to offer a rich resource for understanding user sentiment, identifying app performance issues, and tracking user satisfaction over time. It is a valuable asset for analytics and natural language processing tasks related to app reviews.
Columns
- reviewId: A unique identifier for each individual user review.
- userName: The name of the user who submitted the review.
- userImage: The URL pointing to the user's profile image.
- content: The textual review provided by the user about the app.
- score: The numerical rating given by the user for the app, typically on a scale of 1 to 5.
- thumbsUpCount: The total number of likes or "thumbs up" received by that specific review.
- reviewCreatedVersion: The version of the app that was being reviewed at the time the review was created.
- at: The date and time when the user's review was created.
- replyContent: The textual content of the reply provided by the app developer to the user's review. A significant portion of reviews do not have a developer reply.
- repliedAt: The date and time when the developer's reply was issued. Many entries in this column are null, indicating no developer response.
Distribution
The dataset contains over 90,000 app reviews. The
score column shows a distribution across ratings, with substantial counts for scores like 1.00-1.20, 2.00-2.20, 3.00-3.20, 4.00-4.20, and 4.80-5.00. For thumbsUpCount, the majority of reviews have a relatively low number of likes (0-720), but there are instances with significantly higher counts, reaching up to over 14,000 likes. The reviewCreatedVersion column shows a variety of app versions, with some being more frequently reviewed than others. Review creation dates span a period from April 2014 to February 2021, with a notable increase in review volume towards the later years, particularly between May 2020 and February 2021.Usage
This dataset is ideal for:
- Sentiment analysis of app reviews.
- Natural Language Processing (NLP) tasks, such as topic modelling, text classification, and entity recognition.
- App performance monitoring and identifying user pain points.
- Market research on user satisfaction and trends in app usage.
- Developing AI and Machine Learning models for predicting app ratings or automatically classifying feedback.
Coverage
The dataset offers global coverage for app reviews. The time range for review creation spans from 10th April 2014 to 4th February 2021. While developer replies are included, the data on
repliedAt primarily indicates a single latest date (4th February 2021) with the majority being null, suggesting that developer reply timestamps are not as broadly distributed across the dataset as review creation times.License
CC0
Who Can Use It
- App Developers: To understand user feedback, identify bugs, and improve app features.
- Data Analysts: For trends analysis, user behaviour insights, and reporting.
- Researchers: In fields like computer science, internet studies, and data analytics for academic studies on online reviews.
- Machine Learning Engineers: To train models for sentiment analysis, user support automation, or content moderation.
- Product Managers: To gather insights for product iteration and strategic planning.
Dataset Name Suggestions
- Google Play Store App Reviews
- Play Store User Feedback
- Google Apps Ratings and Reviews
- Mobile App Review Data
- Playstore Review Analytics Data
Attributes
Original Data Source: Google Apps Playstore Reviews
QUALITY