app-review-analyzer

To analyze app store reviews from a CSV file, this Skill processes the data using pandas to generate visualizations for rating distribution, temporal trends, and version-specific feedback. It also performs data validation and keyword extraction.

Yes, you can visualize app rating trends over time using matplotlib. This Skill generates charts for monthly trends and version ratings, allowing you to track how app quality and user satisfaction change across different release periods.

The best way to extract keywords from positive and negative user feedback is to use this Skill's built-in keyword extraction feature. It analyzes your app reviews CSV data to identify key themes in user comments, helping you isolate bugs and track satisfaction.

Yes, the app review analyzer supports data validation before processing CSV data. The Skill validates your app store review inputs to ensure they are formatted correctly before generating reports and visualizations with pandas and matplotlib.

To identify bugs in specific app versions from user reviews, this Skill analyzes version-specific performance and feedback within your CSV data. It isolates negative reviews and extracts keywords related to particular versions to highlight potential issues.

Yes, you need pandas and matplotlib installed to generate app review visualizations. This Skill depends on pandas for data manipulation and matplotlib to render the charts for rating distribution and temporal trends.