Blogs

Latest Posts

• New in Graph Builder for JMP 19

  JMP 19 brings many improvements for Graph Builder. Here are a few of the most significant additions. Constrained smoothers The smoother element has a new method called P-Spline. It’s a cubic spline, just like the existing Spline method, but it’s parameterized in a way that better supports constraints. Monotonic trend curves are the most requested smoother feature, and now it’s possible – and then ...

  XanGregg

  JMPer Cable |

  Sep 12, 2025 9:09 AM

  2982 views | 10 replies
  

• What’s new in JMP DOE

  JMP’s latest release brings a fresh wave of updates to the Design of Experiments (DOE) platform, with new tools and smarter workflows that make it easier to design, simulate, and explore experiments. Whether you're screening factors, simulating responses, planning sample sizes, or trying to pinpoint the root cause of a failure, there’s something new to try out. Smarter fault localization with Baye...

  Ryan_Lekivetz

  JMPer Cable |

  Sep 12, 2025 9:08 AM

  2220 views | 1 replies
  

• Organizing and filtering data in the JMP 19 data table

  Data tables come in many sizes. Occasionally, I work with a table that is small enough to fit on screen: no scrolling necessary and everything I need, I can see. Most of the time, however, my data tables are tall, wide, complex, and multifaceted. For tables like these, the new data table organization and filtering tools in JMP shine. Let’s explore some real data to see why. I’ve been a longtime fa...

  julian

  JMPer Cable |

  Sep 12, 2025 9:06 AM

  1965 views | 2 replies
  

• Going further with Python in JMP 19

  JMP’s latest release builds on the Python integration support that was introduced in JMP 18 by focusing on a fundamental part of the workflow: data access. By expanding data table operations and Python-JSL interoperability, accessing data becomes simple and convenient.   Prefer video? Watch it here.   Data Table operations The jmp.from_dataframe() function provides an efficient way to convert exte...

  Evan_Carr

  JMPer Cable |

  Sep 12, 2025 9:01 AM

  2726 views | 2 replies
  

• Control chart warning triage in JMP Live

  Overview If you have control chart warnings, you may want to: Get notifications about warnings that nobody has investigated yet.Assign warnings to another user, or to a user group, for investigation.Stay on top of the warnings that are assigned to you for investigation.Stay focused on the processes that still need attention.Know what happened, who dealt with it, and when by reviewing and downloadi...

  Aurora_TiffanyD

  JMPer Cable |

  Sep 12, 2025 8:59 AM

  2072 views | 0 replies
  

• Environmental monitoring with Process Screening

  Every pharmaceutical manufacturer needs to monitor its manufacturing facilities for possible contaminants from the environment. Mold from airborne spores and bacteria on surfaces are two of the threats that can ruin a batch. Other kinds of factories, like in the semiconductor industry, are threatened by airborne particulates. These facilities have specialized collection devices for environmental m...

  John_Sall

  JMPer Cable |

  Sep 12, 2025 8:37 AM

  2279 views | 0 replies
  

• Taking quality and process control to the next level with JMP Live

  JMP has long been a leader in providing the statistical tools needed by engineers and technicians to measure and analyze variations in the quality of products and the processes that produce them. These tools include: Control charts provide feedback on key variables and show when a process is in, or out of, statistical control. The Control Chart Builder platform provides an interactive, point-and-c...

  Eric_Hill

  JMPer Cable |

  Sep 12, 2025 8:25 AM

  1840 views | 0 replies
  

• Introducing the Bayesian Optimization platform in JMP Pro

  Bayesian Optimization, aka BayesOpt, is a new platform coming to JMP Pro 19. With it, you can use your existing data to fit a model and then use that model to intelligently decide where to sample next. These new observations are used to update the model and find even better samples. This process can start with a minimal number of runs, which means wasting fewer resources on suboptimal samples and ...

  Kasia_Dob

  JMPer Cable |

  Sep 12, 2025 8:20 AM

  3047 views | 3 replies
  

• Vroom! Vroom! Vroom! Join the JMP Summer Challenge: Motorsport edition

  UPDATE: The results are in.  See some of the interesting results on JMP Public. Watch the video announcing and hearing from the winners. To celebrate JMP’s partnership with telemetry expert and MotoGP Performance Engineer Mirco Bartolozzi, we invite you to sign up for a veritable data visualization grand prix. Use JMP with real motorsport data to uncover the complexity of this real-world challenge...

  gail_massari

  JMP Blog |

  Sep 9, 2025 6:02 AM

  4114 views | 14 replies
  

• Can Vector Field Charts Help Explain Performance in the Last Super Bowl?

  In the world of sports, data of every conceivable variety is collected to measure and analyze performance.   But it is often the visuals from this data that provide the most compelling stories.  Let's take last year’s Super Bowl that proved to be a mostly one-sided affair, with the Philadelphia Eagles surprising many in their domination of the Kansas City Chiefs.  Can we find a compelling graph th...

  scwise

  Scott Wise's Blog |

  Sep 9, 2025 5:28 AM

  408 views | 2 replies
  

• A Guide to JMP's Stability Platform

    Expiration and retest intervals are commonly assigned to pharmaceuticals as well as a wide range of other products. These dates are often extrapolated from a limited set of stability data using statistical models that regress the stability trend to some point in the future. A confidence interval around the regression provides a probability of being above a specified threshold at the extrapolated...

  Byron_JMP

  Byron Wingerd's Blog |

  Sep 3, 2025 5:12 AM

  1402 views | 2 replies
  

• How JMP’s groundbreaking visual interface is bolstered by natural language-empowered analytic workflows

  Daniel_Valente

  JMP Blog |

  Aug 29, 2025 6:00 AM

  2824 views | 3 replies
  

• Visualizing co-occurrence using the JMP Network Plot add-in

  Yiran Song, who wrote this blog post, developed the Network Plot add-in as part of her JMP summer internship.

  Richard_Zink

  JMPer Cable |

  Aug 27, 2025 9:00 AM

  889 views | 1 replies
  

• Biopharma analytics with JMP: A data-driven approach in monoclonal antibody

  Monoclonal antibodies (mAbs) have transformed the therapeutic landscape, offering targeted treatments for cancer, autoimmune disorders, and rare genetic diseases. Unlike small molecules, mAbs are large, highly specific proteins that bind precisely to disease-associated targets, minimizing off-target effects and improving patient outcomes. In the biopharmaceutical industry, Chinese Hamster Ovary (C...

  lkimhui

  JMP Blog |

  Aug 26, 2025 1:46 PM

  895 views | 0 replies
  

• Help shape the future of JMP: Take this year’s Wish List Prioritization Survey!

  Last summer, we launched a pilot version of the JMP Wish List Prioritization Survey to explore a new way of gathering and prioritizing the incredible ideas submitted by our community. The response was fantastic – and we’re excited to bring it back this year! You can participate in this year's survey using this link. We encourage you to share it with your friends and colleagues as well!
  What we lea...

  Sarah-Sylvestre

  JMP Blog |

  Aug 25, 2025 6:00 AM

  775 views | 2 replies
  

• Non-compartmental analysis of pharmacokinetic concentrations

  The forthcoming Pharmacokinetics (PK) report of JMP Clinical 19 summarizes PK concentration data including patient-specific concentration profiles and computes parameters from a non-compartmental analysis.

  Richard_Zink

  JMPer Cable |

  Aug 19, 2025 7:45 AM

  1181 views | 0 replies
  

• JMP Marketplace feature: JSL-Hamcrest add-in

  Testing your JSL scripts just got a whole lot easier. We’ve built an implementation of Hamcrest for JSL, designed to help you write tests that are both powerful and easy to understand, complete with informative failure messages. With this add-in, you spot issues faster and improve your JSL more efficiently. Justin Chilton (@Justin_Chilton) and I developed a JSL-Hamcrest add-in that brings the flex...

  EvanMcCorkle

  JMP Blog |

  Aug 18, 2025 11:21 AM

  975 views | 0 replies
  

• JMPによるロバストエンジニアリングの実施例　～予測プロファイルとシミュレータを用いて～

  ロバストエンジニアリング（Robust Engineering）とは、工程中に避けられないばらつきが存在しても、安定して規格内の製品を生産するための技術です。   ここでいう「安定」とは、気温や湿度といった製造環境の変動（誤差因子）に左右されず、品質を維持できる状態を指します。誤差因子は通常制御が困難ですが、製品の応答に影響を及ぼす要因の多くは制御可能な因子（制御因子）として扱われます。   したがって、誤差因子が変動しても製品が仕様限界内に収まるようにするためには、適切な制御因子の条件（水準）を探索・設定する必要があります。   このとき、JMPでは「予測プロファイル」や「シミュレータ」を用いて、最適な制御因子の条件を見つけることができます。 本記事では、例題を通してその手順を紹介します。   例題：穴あけ加工で穴径を10mm に安定させるには ある材料加工会社では、穴あけ加工における...

  Masukawa_Nao

  Naohiro Masukawa |

  Aug 17, 2025 5:00 PM

  1126 views | 0 replies
  

• Getting started with Python integration in JMP® 18

  Get familiar with the Python integrated development environment (IDE) in JMP 18 and learn how to: Locate the Python IDE.Run a simple example.Install Python packages.Run JSL script from Python.Send a Python variable to JSL.Create a JMP data table from Python.

  yasmine_hajar

  JMPer Cable |

  Aug 14, 2025 6:08 AM

  30512 views | 19 replies
  

• Using the Microsoft Excel wizard

  JMP is a wizard at importing data from Microsoft Excel!

  charlie_whitman

  JMP Blog |

  Aug 4, 2025 10:57 AM

  1036 views | 0 replies