What people say after seeing PlotStudio AI

These are analysts, researchers, and operators who saw a live PlotStudio AI demo and agreed to share their thoughts on the app.

This kind of gives new researchers, or researchers that are stuck in a rut, new ideas of how to look at their data. Having a whole entire page that really spells out the missing data, where it is, what that could lead to — that’s important.

Reagan, PhD Candidate, Bioinformatics · University of Missouri-Kansas City

About Reagan

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Reagan

PhD Candidate, Bioinformatics at University of Missouri-Kansas City

Reagan is pursuing her PhD in Natural Sciences at UMKC with a primary focus in Bioinformatics and a secondary in Computer Science. She holds a Master’s in Bioinformatics with an emphasis in clinical research, is a Graduate Teaching Assistant for SAS programming in the School of Medicine, and spent 3 years as a Graduate Research Assistant in physical activity research. She’s now adding a Master’s certificate in Business Analytics.

I like the open box format where you can see each step in the analysis. ChatGPT or Claude, they’re very black box. I like being able to see the processes that go into it.

Edward, Software Engineer · PeriShip Global

About Edward

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Edward

Software Engineer at PeriShip Global

Edward spent 3 years building data pipelines, processing 100K+ shipments, and writing Go and Django backends at PeriShip Global. He’s built reporting systems from scratch and knows what good tooling looks like. He booked the demo because of the design — and kept coming back to it throughout.

I find the program very informative, pretty easy to use. It’s got a lot of information but it’s not overwhelming. From the little bit of the demo I was able to read, it was doing everything correctly.

Josh, Manufacturing Data Analyst · Haffner Energy

About Josh

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Josh

Manufacturing Data Analyst at Haffner Energy

Josh analyzes production fault logs and machine performance at Haffner Energy. He brought his own dataset to the demo — a real fault log from his production line — and wanted to figure out if one of two machines was actually causing more defects, or if it just looked that way. PlotStudio cleaned the data, ran significance testing, controlled for operator and shift, and broke it down by fault type.

The tool helped identify key drivers and segment patterns I was confused about, and translate them into results that are not only business relevant, but relevant to the everyday person.

Leo Ongera, Statistical & Data Sciences Major · The College of Wooster

About Leo Ongera

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Leo Ongera

Statistical & Data Sciences Major at The College of Wooster

Leo is a Kenyan international student studying Statistical & Data Sciences at The College of Wooster. He actively builds data projects and publishes them on GitHub. He tested PlotStudio AI on a customer churn dataset he was working on for a class project.

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