In this presentation, we will upload real in-service fluid examples into Spotfire, a dynamic visualization tool that helps scientists better understand relationships of in-service fluid samples. We will start with data acquisition and advanced data analysis, and follow the process through data visualization. We will explore complex outputs and demonstrate the value of multi-directional interpretation. By applying extensive correlation techniques within Spotfire, it is now possible take an in-depth look at large amounts of in-service fluid data.