Implement sentiment analysis to categorize feedback into positive, negative, or neutral sentiments, and display the distribution using a pie chart to quickly identify overall customer sentiment trends.

Develop a predictive model to forecast potential customer churn based on patterns in feedback, complemented by a time series plot to visualize trends and identify critical periods requiring intervention.

Conduct a root cause analysis to pinpoint specific issues leading to negative feedback, using a bar chart to highlight the most common complaints for immediate action.

Apply clustering techniques to group customers with similar feedback profiles, visualizing these segments in a scatter plot to tailor personalized engagement strategies.