Customer feedback is invaluable in today’s data-driven world, providing insights that can drive business strategies and enhance customer satisfaction. However, collecting feedback is only the beginning. Turning that data into actionable insights is crucial—and that’s where a data visualization tool can make all the difference.
In this article, we’ll build a powerful, easy-to-use Customer Feedback Analysis Dashboard using Streamlit, a Python library for creating web applications. By the end, you’ll have a fully functional app that visualizes key insights, analyzes sentiment, extracts recurring themes, and provides export options.
Why Streamlit for Feedback Analysis?Streamlit simplifies the process of creating interactive web applications in Python, making it ideal for data analysts and business intelligence professionals who want to create dynamic dashboards quickly. Streamlit’s interactivity and ease of use make it a perfect tool for transforming feedback data into a user-friendly, insightful dashboard.