The data used for this visualization was the collected 188 qualitative responses collected during the deployment at Sampaloc, Manila using the Malasakit toolkit. Data cleaning and filtering methods were performed like the removal of stop words, symbols, numbers, and conversion to lowercase was observed. The data was then preprocessed to count its term frequency and inverse document frequency to gather important feature words. The qualitative responses were experimentally analyzed with different values of k clusters. Silhouette coefficient, an intrinsic evaluation metric for calculating clusters, was used to test the separation between two clusters. The visualizations below shows the clustered 188 Sampaloc responses using Tableau software for the scatter plot and WordItOut for word cloud visualization.