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The article discusses how to visualize data collected by an instrumented Node.js application using Chronograf, a tool that allows developers to create dashboards to monitor their application's performance. The author uses AmazonBay, a Node.js application, as an example, where they collect various metrics such as CPU usage, event loop latency, garbage collection rates, HTTP request duration, and database query times. By visualizing these metrics in different types of graphs and charts, developers can gain insights into the health of their application, identify potential performance bottlenecks, and make data-driven decisions to optimize their application's performance.