German, Swiss, Austrian JMP Users Group

Presentation Nr. 2 of the Graph Builder Workshop at the DACH User Group Meeting @Schott AG in Mainz. ... View more

Liebe JMP-Nutzerinnen und -Nutzer, vielen Dank noch einmal für die gelungene Veranstaltung bei SCHOTT in Mainz. Da zwei der Präsentationen bereits auf dem Discovery Summit vorgestellt wurden, finden Sie hier die Links zu den entsprechenden Videos: A Case Study of JMP Live Integration with Python for Production Systems: https://community.jmp.com/t5/Abstracts/A-Case-Study-of-JMP-Live-Integration-with-Python-for-Production/ev-p/708932 Data Analysis, Generative AI, and the Human Factor: https://community.jmp.com/t5/Abstracts/Data-Analysis-Generative-AI-and-the-Human-Factor-2026-EU-30MP/ev-p/916571 Weitere Präsentationen finden Sie als separate Beiträge – einschließlich der Folien – in der Gruppe. Weitere Ressourcen, die während der Veranstaltung geteilt wurden: JMP Newswire: monatlicher Newsletter JMP Community für die JMP Wish list und das neue Getting Started with JMP Discovery Summit Europe: Early-Bird-Angebot JMP Marketplace: Erweiterungen für JMP  Wir wünschen Ihnen viel Freude beim Entdecken der Inhalte und freuen uns, wenn Sie Ihre Erfahrungen, Fragen und Anregungen mit der Community teilen. Bis zum nächsten Treffen! ... View more

The task of this presentation is to make a large volume profile assessment in a large datatable with data coming from database (100.000 profiles). The task is carried out by using JMP Pro Functional data explorer (FDE). The profile is separated in different features called “functional components” (e.g. FC1)by FDE, saved into a column for each feature. So a feature like a dip is converted into a scalar representing the existence of this feature (e.g. FC1 >> 0 = dip;FC ~ 0 = flat,<< 0 = hill). The functional component FC1 can then be used as a label for training with a neural net. The prediction from neural net isimplemented as a formula in the final data table to assess that curve. Finally the engineer can easily update data from database, with having assessments updated as formula evaluation. The assessment seems to be very robustfor the data created in this case from a measurement device, as the Rsquare of neural net keeps quite high, even with new data for some month. Additionallya sensitivity analysis is carried out with artificially generated data by means of Copilot.   ... View more

Part 1 of the workshop: Challenges in Graph Builder (+ topics for wishlist) ... View more