This Python application leverages CustomTkinter to offer a comprehensive analysis of survey data collected in CSV format, typically from platforms like Google Forms. It's designed to extract meaningful insights through three core analysis types: Statistical, Sentiment, and Temporal Analysis. Whether you're looking to visualize closed question responses, gauge sentiment from open-ended answers, or track response patterns over time, this tool provides the necessary functionality to make informed decisions.
- Statistical Analysis:
- Pie charts visualization for closed questions.
- Correlation analysis between two closed questions.
- Sentiment Analysis:
- Word cloud and frequency analysis of the most important (not used) words in open-ended responses.
- Sentiment detection in open-ended responses.
- Temporal Analysis:
- Responses distribution by hour and by day.
- Emotion tracking by hour.
