DATA INSIGHT
LIVE WEBINAR
Bringing Structure to Messy Data with Exploratory Data Analysis
Date: Tuesday, February 3
Time: 2:00–2:30 p.m. ET | 11:00 a.m. PT
Duration: 30 minutes
Registration: FREE
Clear, compelling visuals are essential for making good decisions, but choosing the right graph and then building it efficiently can be a challenge. Many data scientists spend too much time troubleshooting chart layouts, formatting issues, or tools that slow down the exploration process. With the right approach, you can shift your energy from fighting with charts to uncovering insights that truly matter.
In this 30-minute webinar, learn how to build dynamic, clear, and attention-grabbing graphs without the hassle. We walk through practical examples that demonstrate strategies that will help you experiment with chart types, uncover insights quickly, and communicate results with confidence.
Learn how to:
- Improve the precision and effectiveness of your visual analytics.
- Accelerate your graph-building process without sacrificing quality.
- Spend less time fixing charts and more time making impactful decisions.
Whether you’re new to data visualization or looking to sharpen your skills, the techniques presented will help you build cleaner visuals, discover insights faster, and translate complex results into clear, decision-ready graphics.
About the presenters
Lovy Singh,
Systems Engineer
Lovy Singh holds a master’s degree in chemistry from the University of Oregon and has worked across multiple high-tech and scientific fields, including drug delivery, small-molecule fluorescent probes, semiconductor manufacturing, and advanced lithography. His experience includes roles at Bend Research, Microchip Technology, and Keysight Technologies. He has also consulted in the cannabis industry on THC-to-CBN conversion and contributed to neural implant research at the University of Oregon, applying semiconductor thin-film methods alongside two-photon lithography to develop micron-scale 3D neural devices. Since 2022, Singh has been with JMP as a Systems Engineer, helping customers explore data, improve processes, and communicate insights effectively.
Will Corley,
Associate Systems Engineer
William Corley holds a B.S. in Biomedical Engineering from the University of North Carolina at Chapel Hill, with a focus on medical devices and imaging. He brings extensive experience in clinical data management, analytics validation, and user acceptance testing, providing a strong foundation for translating complex data into actionable insights. William has also contributed to the development of JMP extensions that expand capabilities for exploratory analysis. In his current role, he delivers technical support for JMP, with a particular passion for leveraging data visualization to drive innovation in pharmaceutical and life sciences applications.