The Elastic Stack, particularly Elasticsearch and Kibana, is effectively utilized for analyzing and visualizing earthquake data sourced from the Northern California Earthquake Data Center. The dataset includes both natural and man-made quakes, such as nuclear blasts and quarry explosions. Using a simple Logstash configuration, the data is imported into Elasticsearch, with custom mappings and templates to enhance usability. Kibana dashboards offer rich visualizations, including heat maps, histograms, and Timelion plots, which allow users to explore data dynamically. The dashboards are designed with various features like markdown introductions and reset links to guide users through the data, while geo_polygon queries and WMS-compliant map imports provide advanced geographic insights. The blog post highlights the versatility of Kibana visualizations and their ability to integrate data from external sources like the World Bank API, offering a comprehensive tool for both statistical analysis and historical event recording. The Elastic Stack's capabilities are exemplified through practical use cases, such as detecting earthquakes via real-time Twitter feeds, showcasing its potential for applications beyond traditional data analysis.