JMP Blog

Latest Posts

• An analyst’s new year’s resolution: Add some good fat to your diet when necessary

  Sometimes you need to look at a few more outputs to improve your model or better understand what it is telling you...just like sometimes you need to add some healthy fats to your meal to satisfy your hunger and body's nutritional needs. This post goes into additional outputs that you can review in addition to those that were described in the previous week's post when necessary.

  wendytseng

  JMP Blog |

  Feb 3, 2021 1:14 PM

  3151 views | 0 replies
  

• Recreating and extending a W.E.B. Du Bois visualization

  For Black History Month 2019, Montgomery College sponsored the Black Data Project, a contest to draw attention to the data analysis and visualization work of W.E.B. Du Bois. They selected 12 of his works from the 1900 World’s Fair in Paris and invited participants to create derivative works.

  XanGregg

  JMP Blog |

  Feb 3, 2021 1:13 PM

  6568 views | 3 replies
  

• Register now for the best seat in the house

  Here's what you'll find at the entirely online Discovery Summit Europe 2021.  

  Diana_Levey

  JMP Blog |

  Feb 3, 2021 6:18 AM

  4838 views | 0 replies
  

• Outliers Episode 2: Detecting outliers using quantile ranges

  Quantiles are often used for univariate outlier detection. This episode describes quantiles and the calculations used to flag whether data points are unusual, compared to the underlying distribution, and therefore warrant further investigation.

  JerryFish

  JMP Blog |

  Jan 26, 2021 1:33 PM

  35051 views | 7 replies
  

• Outliers Episode 3: Detecting outliers using the Mahalanobis distance (and T2)

  We look at identifying outliers in multiple dimensions using the Mahalanobis distance. We also take a quick look at T², which is a simple extension of the Mahalanobis distance. Sample data are attached.  

  JerryFish

  JMP Blog |

  Jan 26, 2021 1:30 PM

  25176 views | 4 replies
  

• Outliers Episode 1: The elusive outlier described, visually identified, and judged

  Outliers can be the bane of existence of many data analytics projects. Sometimes they are bad, and other times they can be good! But if we don't recognize Outliers and deal with them early in our analyses, results can be skewed, suboptimal settings found, and information missed! Join me in this, the first of a series of blogs about identifying and dealing with outliers.

  JerryFish

  JMP Blog |

  Jan 26, 2021 1:29 PM

  11962 views | 2 replies
  

• Model Screening in JMP Pro 16

  Predictive modeling is all about finding the model that accurately predicts the outcome of interest. The new Model Screening platform in JMP Pro 16 provides an efficient workflow for simultaneously fitting, comparing, exploring, selecting and then deploying the best predictive model.    

  mia_stephens

  JMP Blog |

  Jan 26, 2021 7:07 AM

  15684 views | 9 replies
  

• Something to look forward to: Discovery Summit Europe

  Ready for some good statistics?    

  Diana_Levey

  JMP Blog |

  Jan 20, 2021 6:11 AM

  3955 views | 0 replies
  

• 2020 全球幸福指數地圖：哪些地區的人幸福感最強？

   “如果有一個從0分到10分的階梯，頂層的10分代表你可能得到的最幸福的生活，底層的0分代表你可能得到的最差的生活。你覺得自己現在在哪一層呢？”

  Ritalv

  JMP Blog |

  Jan 6, 2021 6:51 PM

  7016 views | 0 replies
  

• P-values

  The p in p-value can stand for a lot of things like Probability, Perplexing, and Part.    

  Chelsea-Parlett

  JMP Blog |

  Dec 16, 2020 4:21 PM

  46638 views | 2 replies
  

• Everything I need to know about data visualization, I learned from Thomas the Tank Engine

  All a visualization really wants is to be useful.

  MikeD_Anderson

  JMP Blog |

  Dec 15, 2020 6:20 PM

  6525 views | 0 replies
  

• Machine learning: What you really need to know

  Machine learning, artificial intelligence and other buzzwords are thrown around a lot, but what do these terms mean other than methods to solve problems?

  anne_milley

  JMP Blog |

  Dec 10, 2020 1:20 PM

  3448 views | 0 replies
  

• Answer crucial market research questions

  There are many valuable take-aways from this episode of Statistically Speaking. How can you gain a greater understanding of markets and customers to derive better informed policy and product decisions and strategies?

  anne_milley

  JMP Blog |

  Nov 20, 2020 12:04 PM

  9076 views | 0 replies
  

• JMP Clinical 8: Modernize with new reports and integration with JMP Live

  JMP Clinical 8 has arrived, and there is lots to talk about.  

  geoffrey_mann

  JMP Blog |

  Nov 20, 2020 11:54 AM

  8348 views | 0 replies
  

• JMP Clinical 8: Analyzing safety signals with the Medical Query Risk Report

  JMP Clinical 8 includes a new Medical Query Risk Report to analyze medical queries with a risk plot that includes up to four tables of counts and percentages.

  rlyzinski

  JMP Blog |

  Nov 20, 2020 7:29 AM

  3685 views | 0 replies
  

• What makes for a strong paper or poster abstract?

  Here are some tips for submitting abstracts for Discovery Summit.

  arati_mejdal

  JMP Blog |

  Nov 18, 2020 10:25 AM

  2964 views | 0 replies
  

• DSUR/PSUR report in JMP Clinical: Assess safety in ongoing clinical trials

  When a clinical trial is ongoing, periodic safety updates to regulatory agencies are required.

  rlyzinski

  JMP Blog |

  Nov 13, 2020 8:24 AM

  11049 views | 0 replies
  

• Are big data and machine learning methods enough? Part 2

  anne_milley

  JMP Blog |

  Nov 10, 2020 12:30 PM

  4180 views | 0 replies
  

• Are big data and machine learning methods enough? Part 1

  Our panel answers more questions from the October 1, 2020 Statistically Speaking.

  anne_milley

  JMP Blog |

  Nov 10, 2020 12:29 PM

  4710 views | 0 replies
  

• ROC curves for evaluation of prediction models with categorical responses

  ROC curves explained: What is plotted on the ROC curve? How can the ROC curve be used to interpret prediction models with categorical responses?   

  andreacoombs

  JMP Blog |

  Nov 4, 2020 8:09 AM

  11987 views | 0 replies