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• JMP® Marketplace Feature: Analytics Maturity Assessment

  Adoption of analytics across teams is key to organizational growth. Evaluating progress toward this objective is critical to organizational alignment and efficiency. The free Analytics Maturity Assessment (AMA) helps organizations evaluate their progress by identifying: Analytic successes.Training opportunities.Potential gains in efficiency.New ways to standardize and automate processes.Analytic g...

  LandraRobertson

  JMP Blog |

  Mar 10, 2025 11:24 AM

  56 views | 0 replies
  

• The art of what’s possible in semiconductor: Narrowing the variable list in design of experiments (DOE)

  Is it possible to optimize a plasma-enhanced chemical vapor deposition (PECVD) with just 25 test wafers? Absolutely! In semiconductor manufacturing, constraints such as a 25-wafer run on a tool are common, but they don’t have to limit success. Leveraging process data to inform experiment design is a winning strategy for getting effective results with limited resources.

  Jason_Wiggins

  JMP Blog |

  Mar 6, 2025 2:01 PM

  337 views | 1 replies
  

• JMP Distribution platform for Freedman-Diaconis Bin Width

  DaeYun_Kim

  김대윤의 블로그 - DaeYun Kim's Blog |

  Mar 4, 2025 12:46 AM

  80 views | 0 replies
  

• 時系列分析による2024年の出生数予測は概ね的中。2025年の予測結果と希望の兆しとは？

  先日、昨年（2024年）の日本の出生数（速報値）が発表され、過去最低の約720,988人であることが明らかになりました。   昨年末には「70万人を割るのではないか」との予測もありましたが、なんとか踏みとどまりました。2015年からの出生数の推移をみると以下の通りです。毎年減少を続けており、2024年の出生数は2015年と比べて約3割減少しています。   昨年実施した出生数の予測に対する答え合わせ 実は、ちょうど昨年の今頃、2023年までの出生数のデータをもとに、時系列分析を用いて2024年の出生数を予測していました。「状態空間平滑化モデル」、「ARIMAモデル」の2つの手法による予測結果を以下に示します。 2024年始めに行った2024年の出生数予測 実際の出生数は予測よりやや下振れしたものの、ある程度の精度で予測できていました。特に、状態空間平滑化モデルによる予測誤差はわずか－0.7...

  Masukawa_Nao

  Naohiro Masukawa |

  Mar 2, 2025 7:00 PM

  103 views | 0 replies
  

• Importing and merging multiple XML files

  I needed to import and stack 660 XML files from my exercise activity tracking app. It's easy with the XML Import Wizard and Import Multiple Files in JMP 15.  

  Phil_Kay

  JMPer Cable |

  Feb 26, 2025 3:53 AM

  6381 views | 4 replies
  

• Propeller Perfection: Optimization Using JMP for Efficient Experimentation

  Efficient propeller design is crucial for the electric Vertical Takeoff and Landing (eVTOL) industry, which is projected to reach a market value of $15.8 billion by 2030, according to a report by Market Research Future. Propellers play a key role in optimizing performance, reducing energy consumption, and enhancing flight stability in eVTOL aircraft, which are designed to revolutionize urban air m...

  brycerjs8

  JMPer Cable |

  Feb 24, 2025 9:07 AM

  380 views | 4 replies
  

• The art of what’s possible in semiconductor: Making the best choice for defect count models

  In semiconductor manufacturing, defects can result in scrap and sunk costs. When not detected, they can adversely impact device functionality and cause end-user failures. Defects can lead to large financial losses and damaged reputations. There is value in making the statistical models used to minimize defects as accurate as possible. Standard least squares regression is often the go-to method for...

  Jason_Wiggins

  JMP Blog |

  Feb 21, 2025 6:00 AM

  261 views | 0 replies
  

• 「MaxDiff計画」を用いたキャラメルポップコーンのおいしさ調査

  「ポップコーンにキャラメルがかかっているだけで、こんなにおいしいなんて！」 筆者が初めてキャラメルポップコーンを食べたときの感動は今でも忘れられません。普段はあまりポップコーンを食べることはありませんが、キャラメルポップコーンだけは好んで食べています。 スーパーにいくと、さまざまなキャラメルポップコーンが販売されています。いくつか試してみると、「これはおいしい！」と思うものや、キャラメル感が強いもの、味が控えめなものなど、それぞれに特徴があることがわかりました。   ちょうどその頃、JMPに「MaxDiff計画」という新機能が追加されました。「これはキャラメルポップコーンのおいしさを調べるために使えそうだ！」と思い、弊社（JMP Japan）の社員に協力をお願いし、調査を実施しました。かなり前の調査にはなりますが、その結果を報告します。   MaxDiff計画とは？ 消費者調査では、「選...

  Masukawa_Nao

  Naohiro Masukawa |

  Feb 19, 2025 8:10 PM

  105 views | 0 replies
  

• JMP® Marketplace Feature: S3 Data Connector

  The JMP S3 Data Connector in the JMP® Marketplace uses JMP's powerful Python integration to provide seamless access to Amazon Web Services (AWS) S3. You can configure your AWS credentials within the data connector editor and quickly import files that are compatible with JMP and are hosted on Amazon S3 remote connections. This integration streamlines data retrieval processes, enhancing your workflo...

  LandraRobertson

  JMP Blog |

  Feb 19, 2025 9:00 AM

  231 views | 0 replies
  

• Accessing SAS using JMP 18, Python, and SASPy

  Using the scripting environment and a python package called SASPy, JMP 18 can interface with SAS instances, import data sets, export data sets, and run SAS code.

  chrishesser

  JMP Blog |

  Feb 19, 2025 6:00 AM

  402 views | 0 replies
  

• 如何高效提升原物料建模效率、降低實驗成本？定量構效關係 (QSAR) 性能優化 4 步驟

  在化工或材料企業工作的你，如何有效提升新材料研發效率、降低實驗成本？透過QSAR方法，化工工程師可將多水準類別因子轉換為連續因子，並利用主成分分析減少變因數量，降低實驗次數與成本。結合JMP的Custom Design與PLS建模，可快速建立高效預測模型，優化材料選擇與製程設計。了解如何運用數據分析提升研發效率，探索更多實驗設計與建模技巧！

  JMP_Taiwan

  JMP Blog |

  Feb 18, 2025 5:00 PM

  257 views | 0 replies
  

• Control de Procesos y Automatización del SPC con JMP Live: Una Guía Práctica

  Descubre cómo JMP y JMP Live pueden transformar la gestión de datos en tu empresa mediante la automatización del SPC y las alertas automáticas en gráficos de control.

  MarilynWheatley

  JMP Blog |

  Feb 18, 2025 5:58 AM

  315 views | 0 replies
  

• From Picture to Data: Extracting graph data from a picture into a JMP Table for analysis

  Have you ever needed to import the data contained in an image of a graph into JMP? It turns out JMP can do this rather easily. Read on to find out how.  

  Jed_Campbell

  JMP Blog |

  Feb 14, 2025 2:28 AM

  1631 views | 2 replies
  

• Eficiencia sin código: Automatiza con el Constructor de flujo de trabajo de JMP

  El constructor de flujo de trabajo de JMP permite grabar los pasos que se toman haciendo clic en la interfaz de JMP, para que el trabajo sea repetible, para que los pasos se puedan aplicar cuando hay datos nuevos, o el flujo de trabajo entero se puede compartir con otras personas.

  MarilynWheatley

  JMP Blog |

  Feb 11, 2025 1:22 PM

  390 views | 0 replies
  

• Optimizing Multiple Curves in the Functional Data Explorer

  Can JMP be used to model, compare, and optimize multiple curves at the same time? I've been asked this a few times in the last month, and (of course) the answer is "yes." Read on to find out how.  

  Jed_Campbell

  JMP Blog |

  Feb 7, 2025 2:07 PM

  1194 views | 3 replies
  

• Demystifying Factor Constraints

  Specifying constraints in a DOE can seem daunting, but it can be much easier than you imagine if you use some of the other tools in JMP to do the heavy lifting.

  Jed_Campbell

  JMP Blog |

  Feb 6, 2025 2:01 PM

  3564 views | 8 replies
  

• Active Learning in JMP - Chris Gotwalt ENBIS Workshop

  Watch the recording of this workshop with Chris Gotwalt and Phil Kay.

  Phil_Kay

  Phil Kay's Blog |

  Feb 4, 2025 5:24 AM

  960 views | 0 replies
  

• Design evaluation of optimal designs

  Optimal designs use one of several optimality criteria based on the goal of the experiment. Using the design evaluation tools we can compare, and contrast designs based on the goal of the experiment. In each of the case studies below, the tools relevant for each experimental goal are explored.   Summary of practical goals and design evaluation tools I-optimal D-optimal Practical goal: Accurate ...

  O_Lippincott

  JMPer Cable |

  Feb 3, 2025 2:01 PM

  439 views | 2 replies
  

• Writing JSL code dynamically

  Why doesn't my code work when I try to use a variable as an argument to ...?

  Jasean

  JMPer Cable |

  Jan 27, 2025 10:39 AM

  367 views | 1 replies
  

• What are “optimal designs” and “optimality criteria”?

  JMP’s Custom Design platform allows experimenters to create custom-built designs for their specific experiment needs by constructing optimal designs. The custom designer generates optimal designs by seeking to maximize one of several optimality criteria using the coordinate-exchange algorithm. The coordinate-exchange algorithm constructs a starting design by selecting random values within the desi...

  O_Lippincott

  JMPer Cable |

  Jan 23, 2025 11:30 AM

  562 views | 0 replies