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  • Learn how to build custom Python data connectors and further customize JMP’s Data Connector Framework with the Python Data Connector Demo, available now in the JMP Marketplace!
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Events designed to further your knowledge and exploration of JMP.
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  • Calculating the Sample Size for a Confidence Interval

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, you learn how to use the Sample Size for Confidence Intervals calculator to compute the sample size required to create a confidence interval with a specified margin of error.   This calculator is available from the Help menu in JMP, under Sample Data and then Calculators. ...

    Learning Library |
    Dec 3, 2021 1:03 PM
    15049 views | 0 replies

  • Exploring the Power Animation

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we use the Power animation to explore the relationship between sample size and power for a one-sample t test using the file Diameter Test.jmp.   First, we conduct a one-sample t test for Diameter. To do this, we use the Distribution platform from the Analyze menu. We selec...

    Learning Library |
    Dec 3, 2021 1:03 PM
    1694 views | 0 replies

  • Calculating the Sample Size for a One-Sample t Test

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, you learn how to calculate the sample size for a one-sample t test. To do this, we select Sample Size and Power from the DOE menu under Design Diagnostics.   Sample size and power calculations are available for many situations. We’ll select One Sample Mean.   In this scena...

    Learning Library |
    Dec 3, 2021 1:03 PM
    3874 views | 0 replies

  • Calculating the Sample Size for Two or More Sample Means

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, you learn how to calculate the sample size for a two-sample t test and ANOVA. To do this, we select Sample Size and Power from the DOE menu under Design Diagnostics.   To calculate the sample size for a two-sample t test, we select Two Sample Means.   In this scenario, the...

    Learning Library |
    Dec 3, 2021 1:03 PM
    13342 views | 0 replies

  • Demonstration: Influence of Outliers

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   To explore the impact of unusual observations and outliers on the correlation coefficient, we use the demoCorr script. This script is in the JMP Sample Scripts Directory.   The demo correlation script starts with several observations and allows us to drag points or add new points and exp...

    Learning Library |
    Dec 3, 2021 1:02 PM
    828 views | 0 replies

  • Assessing Correlations

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

      (view in My Videos)   Correlation is a measure of the linear association between two variables. In this video, we show how to assess correlations for the Cleaning data using three platforms: Graph Builder, Fit Y by X, and Multivariate.   We start with the Graph Builder, which is the first option under the G...

    Learning Library |
    Dec 3, 2021 1:02 PM
    7727 views | 0 replies

  • Fitting a Regression Model

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we use the Cleaning data to fit a regression model for Removal and OD using Graph Builder and Fit Y by X.   We start with the Graph Builder, which is the first option under the Graph menu.   We'll drag Removal to the Y zone, and then drag OD to the X zone. The default grap...

    Learning Library |
    Dec 3, 2021 1:02 PM
    7486 views | 0 replies

  • Evaluating Model Assumptions

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we use the Cleaning data to fit a regression model for Removal and ID using Fit Y by X, and then conduct a residual analysis to evaluate model assumptions.   We select Fit Y by X from the Analyze menu. We'll use Removal as Y, Response, ID as X, Factor, and click OK.   Then...

    Learning Library |
    Dec 3, 2021 1:02 PM
    3146 views | 0 replies

  • Interpreting Regression Analysis Results

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we again use the Cleaning data to fit a regression model for Removal and ID using Fit Y by X. We'll discuss the statistical output provided, and will see how to make predictions using our regression equation.    We'll again use Removal as the Y, Response and ID as the X, F...

    Learning Library |
    Dec 3, 2021 1:02 PM
    6841 views | 0 replies

  • Fitting Polynomial Models

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we explore the FreeFall data using the Graph Builder, and see how to fit polynomial models using Fit Y by X.   We'll start by opening the Graph Builder from the Graph menu.   Recall that we are measuring Distance as a function of Time. We'll drag Distance to the Y zone and...

    Learning Library |
    Dec 3, 2021 1:02 PM
    8881 views | 0 replies

  • Fitting Multiple Linear Regression Models

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this example, we use the Cleaning data and fit a multiple linear regression model for Removal with three predictors, OD, ID, and Weight.   Recall that when we fit a linear model with one response and one predictor, we use either the Graph Builder or the Fit Y by X platform. Graph Buil...

    Learning Library |
    Dec 3, 2021 1:02 PM
    9737 views | 0 replies

  • Using the Prediction Profiler

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we use the Impurity example and fit a model for the response, Impurity, with three predictors, Temp, Catalyst Conc, and Reaction Time. Then we use the Prediction Profiler to better understand the model coefficients.   Let’s begin by selecting Fit Model from the Analyze men...

    Learning Library |
    Dec 3, 2021 1:02 PM
    14601 views | 1 replies

  • Analyzing Residuals and Outliers

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this example, we continue where we left off in the previous JMP demo. Recall that we fit a model for Impurity, with three predictors, Temp, Catalyst Conc, and Reaction Time, using Analyze, Fit Model.   Impurity is the Y variable, and Temp, Catalyst Conc, and Reaction Time are the mode...

    Learning Library |
    Dec 3, 2021 1:02 PM
    20431 views | 0 replies

  • Fitting a Model with Categorical Predictors

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this example, we again fit a model for Impurity using Fit Model. But this time, we also add the categorical predictors to the model.   First, we add Impurity as the Y variable.   Adding the categorical predictors to the model is no different than adding continuous predictors. We simpl...

    Learning Library |
    Dec 3, 2021 1:02 PM
    4066 views | 0 replies

  • Fitting a Model with Interactions

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this example, we again fit a model for Impurity using Fit Model. But this time we add interactions to the model.   Again, we start by adding Impurity as the Y variable.   Then we add the five main effects, our predictors, to the model.   To add a specific interaction term to the model...

    Learning Library |
    Dec 3, 2021 1:02 PM
    12589 views | 0 replies

  • Selecting Variables Using Effect Summary

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we see how to use the Effect Summary table for variable selection using the Impurity data.   We’ll start by fitting a full model, with interactions, using Fit Model.   First, we’ll select Impurity as the Y.   Then, we’ll select Temp through Shift, and select Macros, and th...

    Learning Library |
    Dec 3, 2021 1:02 PM
    4125 views | 0 replies

  • Assessing Multicollinearity

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we use the Bodyfat data to explore multicollinearity in JMP using all the potential predictors.   Recall that, in this scenario, we are interested in predicting %Fat as a function of several physical measurements.

    We’ll start by exploring the data.   We’ll use the Multivar...

    Learning Library |
    Dec 3, 2021 1:02 PM
    7091 views | 0 replies

  • Fitting a Multiple Logistic Regression Model

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we use the Impurity Logistic example and fit a model for the response, Outcome, with the five main effects, Temp through Shift. We reduce the model and then use the Prediction Profiler to better understand the significant model coefficients.   Let's begin by selecting Fit ...

    Learning Library |
    Dec 3, 2021 1:02 PM
    4472 views | 0 replies

  • Fitting a Logistic Regression Model with Interactions

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we use the MetalCoating example and fit a model for the response, Outcome. For this demonstration, we include only the continuous predictors and their two-way interactions as model effects.   We begin by selecting Fit Model on the Analyze menu.   We select Outcome as the Y...

    Learning Library |
    Dec 3, 2021 1:02 PM
    3369 views | 0 replies

  • Designing Full Factorial Experiments

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show how to design full factorial experiments using the Full Factorial platform in JMP.   To do this, we select DOE, then Classical, and then Full Factorial Design.   In the Responses panel, we can change the response name and the response goal, and we can add responses...

    Learning Library |
    Dec 3, 2021 1:02 PM
    10546 views | 0 replies

  • Analyzing Full Factorial Experiments

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show you how to analyze full factorial experiments in JMP using the file 2x2x2 Unreplicated.jmp.   As the name implies, this is an unreplicated 23 full factorial experiment. The factors are Temperature, Time, and Catalyst, and the response is Yield.   Because this exper...

    Learning Library |
    Dec 3, 2021 1:02 PM
    6034 views | 0 replies

  • Creating 2k-r Fractional Factorial Designs

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, you learn how to create 2k-r fractional factorial designs in JMP. We’ll create a fractional design to study five 2-level continuous factors.   To create a fractional factorial design, we select DOE, then Classical, and then Screening Design.   We’ll use Y as the response n...

    Learning Library |
    Dec 3, 2021 1:02 PM
    5642 views | 0 replies

  • Creating Screening Designs in the Custom Designer

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show how to generate a screening design using the Custom Designer in JMP. We’ll create an optimal screening design for the Heck reaction scenario, with five factors.   First, we select Custom Design from the DOE menu.   We change the response to Yield.   There are five ...

    Learning Library |
    Dec 3, 2021 1:02 PM
    2024 views | 0 replies

  • Designing a Central Composite Design

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show you two ways to create central composite designs in JMP. First, we use the classical Response Surface Design platform, and then we create the same design using the Custom Designer.   To start, we select DOE, then Classical, and then Response Surface Design.   In th...

    Learning Library |
    Dec 3, 2021 1:02 PM
    10115 views | 0 replies

  • Optimizing Multiple Responses

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show how to analyze an experiment with multiple responses, and how to optimize multiple responses, using the file Anodize.jmp.   In this example, a 12-run custom design with five factors was conducted. The experimental objective is to find settings of the factors to opt...

    Learning Library |
    Dec 3, 2021 1:02 PM
    6729 views | 1 replies

  • Simulating Data Using the Prediction Profiler

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show how to do a Monte Carlo simulation in JMP using the Prediction Profiler.   We use the file Anodize.jmp. This file contains the results of a 12-run custom design with five factors and four continuous responses. The experimental objective was to find settings of the ...

    Learning Library |
    Dec 3, 2021 1:02 PM
    6396 views | 0 replies

  • Creating a Validation Column (JMP Pro)

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show how to create a validation column in JMP Pro using the Make Validation Column utility.   We'll use the Impurity example and create a new column, Validation. We'll randomly assign 60% of the observations to the training set and the remaining 40% to the validation se...

    Learning Library |
    Dec 3, 2021 1:02 PM
    10336 views | 0 replies

  • Fitting a Multiple Linear Regression Model with Validation

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this example, we fit a predictive model for Impurity using Fit Model with all main effects and two-way interaction terms.   The data have been partitioned into training and validation data. 60% of the observations have been randomly assigned to the training set, and 40% of the observa...

    Learning Library |
    Dec 3, 2021 1:02 PM
    7053 views | 0 replies

  • Fitting a Logistic Model with Validation

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we use the Impurity example and fit a model for the categorical response, Outcome, with the three continuous main effects, Temp, Catalyst Conc, and Reaction Time.   The data have been partitioned into training and validation data. 60% of the observations have been randomly...

    Learning Library |
    Dec 3, 2021 1:02 PM
    4286 views | 0 replies

  • Changing the Cutoff for Classification

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos) When you fit a classification model in JMP, the probability cutoff for classification is 0.50. In this video, we see how to change the cutoff for classification using a formula column in the data table.   To apply a different cutoff, you can save the probability formula to the data table a...

    Learning Library |
    Dec 3, 2021 1:01 PM
    5164 views | 0 replies

  • Creating a Classification Tree

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we use the Chemical Manufacturing example and fit a classification tree for the categorical response, Performance.   To do this, we select Predictive Modeling from the Analyze menu, and then select Partition.   We select Performance as the Y, Response variable.   Then we s...

    Learning Library |
    Dec 3, 2021 1:01 PM
    5513 views | 0 replies

  • Fitting a Regression Tree

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we use the Chemical Manufacturing example and fit a regression tree for the continuous response, Yield.   To do this, we select Predictive Modeling from the Analyze menu, and then Partition.   We select Yield as the Y, Response variable. Then we select the two groups of pr...

    Learning Library |
    Dec 3, 2021 1:01 PM
    2871 views | 0 replies

  • Fitting a Decision Tree with Validation

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we use the Chemical Manufacturing example and fit a regression tree for the continuous response, Yield. We use JMP Pro for this demo.   The acceptable yield for this process is 80%.   The data have been partitioned into training and validation data. 60% of the observations...

    Learning Library |
    Dec 3, 2021 1:01 PM
    6465 views | 0 replies

  • Variable Selection with a Bootstrap Forest

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we use the Chemical Manufacturing example and fit a bootstrap forest for the continuous response, Yield. We use JMP Pro for this demo.   The acceptable yield for this process is 80%. There are 17 potential predictors, and only 90 observations. We'll use a bootstrap forest ...

    Learning Library |
    Dec 3, 2021 1:01 PM
    4347 views | 0 replies

  • Fitting a Neural Network

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we use the Chemical Manufacturing 2 data. We fit a neural network model for Yield using the options available in the standard version of JMP for this demo.   First, we select Analyze, then Predictive Modeling, and then Neural.   We start by adding Yield as the Y, Response ...

    Learning Library |
    Dec 3, 2021 1:01 PM
    4823 views | 0 replies

  • Fitting a Neural Model with Two Layers

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this example, we use the Chemical Manufacturing 2 data. We fit a neural network model for the categorical response, Performance, using all of the available predictors and the validation column. We use the options available in JMP Pro for this demo.   First, we select Analyze, then Pre...

    Learning Library |
    Dec 3, 2021 1:01 PM
    2716 views | 0 replies

  • Fitting a Linear Model in Generalized Regression

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos) In this video, we show how to fit linear models using generalized regression. We use the Chemical Manufacturing data and fit a least squares model for the continuous response, Yield. Then we fit a logistic regression model for the categorical response, Performance.   First, we fit a linear...

    Learning Library |
    Dec 3, 2021 1:01 PM
    4383 views | 0 replies

  • Variable Selection in Generalized Regression

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos) In this video, we use the Chemical Manufacturing data. We fit a logistic regression model for the categorical response, Performance, using generalized regression. Then we show how to do variable selection to reduce this model.   First, we select Fit Model from the Analyze menu. We select P...

    Learning Library |
    Dec 3, 2021 1:01 PM
    3203 views | 0 replies

  • Fitting a Penalized Regression (Lasso) Model

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos) In this video, we show how to fit a penalized regression model using generalized regression in JMP Pro. We use the file Bodyfat 07.jmp and fit a model for %Fat using the Lasso with validation.   First, we fit a linear regression model for %Fat.   To do this, we select Fit Model from the An...

    Learning Library |
    Dec 3, 2021 1:01 PM
    9275 views | 1 replies

  • Processing Unstructured Text Data

    In this article, you learn how to process unstructured text data using the file Pet Owner.jmp. This example is based on the file Pet Survey.jmp, in the JMP sample data library.

    Learning Library |
    Dec 3, 2021 1:01 PM
    3261 views | 0 replies

  • Comparing and Selecting Predictive Models

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos) In this video, we show how to compare and select predictive models in JMP Pro. We use the data set Bodyfat 07 to fit predictive models for continuous %Fat using all of the available predictors.   The column Validation 2 partitions the data into training, validation, and test sets.   We hav...

    Learning Library |
    Dec 3, 2021 1:01 PM
    6679 views | 0 replies

  • Visualizing and Exploring Text Data

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos) In this video, you learn how to visualize and explore unstructured text data using the file Pet Owner.jmp.   To analyze these data, we select Text Explorer from the Analyze menu in JMP.   We select Survey Response as the text column, and click OK to run the analysis using the default token...

    Learning Library |
    Dec 3, 2021 1:01 PM
    6616 views | 0 replies

  • Add-In Builder

    (view in My Videos)   Use a JMP® Add-In to create custom menus and easily distribute JMP scripts, applications, data tables and more.  Create an Add-In with the Add-In Builder Choose File > New > Add-In (or File > New > New Add-In on the Mac).In the General Information tab, provide an Add-in Name and an Add-in ID.  In the Menu Items tab, for each menu item: Click Add Command to add the menu item...

    Learning Library |
    Dec 3, 2021 1:01 PM
    8701 views | 2 replies

  • Importing PDFs - PDF Import Wizard

    (view in My Videos)     The PDF Import Wizard enables you to preview a PDF file, adjust the import settings, and view the results in the data table preview before you import the data. And to ease this process, JMP will attempt to auto-detect the data structure in the PDF file, or you can customize the structure.   Let me quickly demonstrate this by importing a PDF and Concatenating a table with t...

    Learning Library |
    Dec 3, 2021 1:01 PM
    4082 views | 0 replies

  • Control Chart Builder

    (view in My Videos)   A control chart is a graphical and analytic tool for monitoring process variation. We can use Control Chart Builder to create control charts of your process data.   Here, I have the Socket Thickness sample data table, which includes measurements for the thickness of sockets. There has been an increase in the number of defects during production, and we need to investigate why...

    Learning Library |
    Dec 3, 2021 1:01 PM
    5990 views | 0 replies

  • Creating Pareto Plots in JMP

    (view in My Videos) Pareto charts or Pareto plots are basically a ranked order histogram that will most likely include cumulative percentage line.  I’ll demo this in JMP using the Failure sample data set.   Pareto plots are extremely useful for analyzing what problems need attention first because the taller bars on the chart, which represent frequency, clearly illustrate which variables have the ...

    Learning Library |
    Dec 3, 2021 1:01 PM
    3338 views | 0 replies

  • Definitive Screening Design

    (view in My Videos)   Investigators use screening designs when they want to identify the factors that have the most substantial effects on a response.

    A screening design enables you to study a large number of factors in a fairly small experiment.
    ​
    [On Screen]
    Many standard screening designs focus on estimating main effects.
    ​
    Definitive Screening Designs can avoid model ambiguity, enabling you to id...

    Learning Library |
    Dec 3, 2021 1:01 PM
    5109 views | 2 replies

  • Using the Excel Import Wizard

    (view in My Videos)   Using the JMP Excel Import Wizard   In JMP 12 for Mac and earlier versions of JMP for Windows, opening a Microsoft Excel file launches the Excel Import Wizard.   The Wizard is especially helpful when the structure of Excel data is irregular.   For example, you might want to exclude columns or convert the text in the third row to JMP column headings.   To open a Microsoft E...

    Learning Library |
    Dec 3, 2021 1:00 PM
    8662 views | 1 replies

  • Creating Dashboards

    (view in My Videos)       In this short video I’ll walk you through the process of combining multiple reports with the JMP Dashboard Builder available in the most recent versions of JMP.   Here in JMP, I have some freely available web Football data that has been joined together in a single data table.  Look for the links below if you’re interested in creating the same dashboard.    JMP 13 introd...

    Learning Library |
    Dec 3, 2021 1:00 PM
    6944 views | 0 replies

  • Multiple Regression, Multicollinearity, and Model Building - Housing Prices

    Produced by: Marlene Smith University of Colorado Denver Business School Background A real estate company that manages properties around a ski resort in the United States wishes to improve its methods for pricing homes.  Data is readily available on a number of measures, including size of the home and property, location, age of the house, and a strength-of-market indicator.  The Task             ...

    Learning Library |
    Nov 29, 2021 10:40 AM
    12805 views | 0 replies

  • Kerrich: Is a Coin Fair? Learn Inference for One Proportion

      Key ideas Practical Importance Versus Statistical Significance, Low Power   Background John Kerrich was an English mathematician who found himself in a prison camp in Denmark during WW II. This freed up his calendar considerably. To help occupy his time, he performed a series of experiments in probability. Most statisticians claim that coins are fair, and this gave Kerrich a chance to test this ...

    Learning Library |
    Nov 29, 2021 10:40 AM
    4395 views | 0 replies

  • Introduction and Resources at the JMP Nordics Users Group 2021

    Presented by @Ressel    (view in My Videos)

    Nordic JMP Users Group |
    Nov 25, 2021 10:39 AM
    964 views | 0 replies

  • Example of stacking data in JMP

    Åke Öhrlund, Senior Analytical Scientist at Galderma   (view in My Videos)

    Nordic JMP Users Group |
    Nov 25, 2021 10:36 AM
    1056 views | 0 replies

  • Variability chart platform: how to address variations in the processes.

    Example in JMP to address variations in the processes. Søren Pehrson, Manufacturing Scientist and Six Sigma Black Belt at HALDOR TOPSØE A/S.   (view in My Videos)

    Nordic JMP Users Group |
    Nov 25, 2021 10:34 AM
    1015 views | 0 replies

  • The Building and Distribution of Standard Data using JMP

    Hundreds of data tables used throughout the organization by many teams. Data are automatically collected from multiple sources, processed, and integrated using JMP. Philip O´Leary, Data Integration Manager at Murata Electronics Oy.   Introduction:  (view in My Videos)   Question from the audience and example of Murata´s file directory:  (view in My Videos)   Example of add-ins for data preparation...

    Nordic JMP Users Group |
    Nov 25, 2021 10:27 AM
    1387 views | 0 replies

  • Discussion on analytics advocacy

    Discussion on analytics advocacy, exploring key questions around building a culture of analytics: What is the journey to increase data analysis?What are the risks and rewards of adopting analytics best practices across an organization?What are the best ways to support and enable colleagues in overcoming the analytics learning curve? (view in My Videos)   The discussion was also active in the cha...

    Nordic JMP Users Group |
    Nov 25, 2021 5:47 AM
    898 views | 0 replies

  • Scripters Club geht live

    Hallo,   die angekündigte Scripting User Group geht live. Erstes Meeting und weitere Informationen findet ihr hier: 
    Scripters Club    Die Registrierung für das erste Meeting findet ihr hier:  https://www.jmp.com/en_gb/events/seminars/user-group/usergroup-14dec2021.html      Wir freuen uns natürlich auch auf Teilnehmer aus der deutschsprachigen User Group   Martin 

    German, Swiss, Austrian Discussions |
    Oct 27, 2021 6:39 AM
    4364 views | 6 replies

  • Inaugural Meeting: 14. December 2021 15:30-16:30 CET

      View more...Join the inaugural meeting on 14.12.2021, 15:30-16:30 CET. To get a calendar invite with the link for the meeting please register here: 

    JMP Scritpers Club Join the inaugural meeting on 14.12.2021, 15:30-16:30 CET. To get a calendar invite with the link for the meeting please register here: JMP Scritpers Club  Buying software that cannot grow beyond your initial needs leads to early o...

    JMP Scripters Club Discussions |
    Oct 26, 2021 8:52 AM
    838 views | 0 replies

  • Nordics JMP® Users Group Meeting Online

    We invite you to attend the upcoming meeting of the Nordics JMP Users Group. This online gathering will give you the opportunity to engage in collaborative learning with fellow JMP users and presenters.   Link to register: https://www.jmp.com/en_dk/events/seminars/user-group/nordics-online-user-group-25nov21.html   TimeTopic
    10:30Welcome and Introduction10:40 Lightning Talk 1: Example of stacking ...

    Nordic JMP Users Group |
    Oct 15, 2021 4:33 AM
    922 views | 0 replies

  • Use of JMP at Pharmaron to facilitate gene therapy bioprocessing and analytics through data-driven decision-making

    Presenters: Nicholas Pearman1, Joseph Campion1, Patrick Hoering1, Spyridon Gerontas1 Pharmaron, 12 Estuary Banks, Estuary Commerce Park, Liverpool, L24 8RB, UK (view in My Videos)   Pharmaron will demonstrate through case studies how JMP helps us implementing advanced statistical tools when developing gene therapy processes. The first case study focuses on JMP’s data management work package and ho...

    1131 views | 0 replies

  • How happy are we here in Europe? A data visualization exercise in JMP

    (view in My Videos)   The European Social Survey (ESS) is an academically driven cross-national institution that conducts survey across Europe since 2002. The survey measures attitudes, beliefs and behavior patterns of a diverse population in more than 30 nations. ESS made the data (2002-2018) publicly available.
    The presentation will show how to prepare the data and how to use graphical visualizat...

    1014 views | 0 replies

  • Histograms

    (view in My Videos) Meanwhile, everybody knows histograms from the daily news about Corona infections. Time to take a closer look into this very basic and informative statistical tool. Almost all histograms share one characteristic: the bars have identical widths. This is only one specific representation of histograms and there are good reasons for their popularity. In histograms the area of the b...

    877 views | 0 replies

  • WFJUG polling questions

    Hi everyone, A couple of quick questions we would like to get your input on: Do you prefer meeting primarily for socializing and networking opportunities or for demonstrations/presentations of JMP platforms?Do you prefer virtual meetings or in-person (when appropriate)?Are you open to helping plan future meetings/events or be a presenter at a future meeting/event? Thanks! 

    2604 views | 3 replies

  • Panel de graphiques atypiques disponibles

    Cette série de journaux proposés par Scott Wise décrit comment créer des vues graphiques avancées populaires et captivantes à l'aide du Graph Builder.- Gallery 1- Gallery 2- Gallery 3- Gallery 4- Gallery 5- Gallery 6     

    1109 views | 0 replies

  • Nouveautés de JMP® 16 et JMP® Pro 16

    (view in My Videos)   Lors de cette session de découverte de JMP16, nous parcourrons en particulier : Comment automatiser facilement toutes les étapes de préparation de la donnéeComment gérer au mieux vos format de datesComment identifier le modèle prédictif le plus approprié pour vos donnéesComment aller plus loin dans votre analyse de données non structurées (textes libres)Comment gagner en effi...

    887 views | 0 replies

  • Digitalisation d’un management visuel des déviations

    (view in My Videos) Pierre  Fabre est le 2nd laboratoire dermo- cosmétique mondial et le 2ème groupe pharmaceutique privé français. Son site de Gaillac assure le développement et la production des principes actifs végétaux pour toutes les activités du groupe. Une mêlée quotidienne  (daily scrum) a lieu tous les matins et réunie l’ensemble des acteurs de l’usine. C’est un moment d’échange où sont d...

    1119 views | 0 replies

  • Mise en place d'une plateforme Split-plot design pour l'étude des paramètres régissant la diafiltration d’excipients oligomériques innovants.

    (view in My Videos) La plateforme d’excipients BioChaperone développée par Adocia recouvre des oligomères de tailles variées. Ils présentent cependant la caractéristique commune d'être de plus haut poids moléculaire que les impuretés générées lors de leurs procédés de synthèse. Ainsi, leur purification peut être réalisée par diafiltration ou filtration tangentielle. Cette technique, grâce à une me...

    1151 views | 0 replies

  • Utilisation des Plans d’Expériences pour la recherche de paramètres de soudage optimaux.

    (view in My Videos) En tant que fournisseur de solutions mécatroniques pour le traitement de tôles d’acier, Clecim a récemment étendu sa gamme de soudeuses laser en proposant une machine de nouvelle génération capable de découper et de souder des tôles fortes au moyen d’une source laser de 12kW. En 2019, le procédé de découpe laser fut largement étudié et le recours aux techniques de Machine Learn...

    1414 views | 0 replies

  • Exercises to learn JMP

      View more... In this thread I will collect and add some exercises I use in JMP Days or Workshops to have an easy to grab location for people joining those sessions. This is a living thread I update from time to time with new/adjusted material or new information. There are many good resources to learn JMP (like STIPS, Welcome Kit, Mastering JMP, Trainings, ...) and this thread is no replacement f...

    German, Swiss, Austrian Discussions |
    Oct 5, 2021 4:27 AM
    2045 views | 0 replies

  • Application of JMP Simulation Experiment to optimize process conditions

    In industrial biotechnology, process optimization can be an important step during process development. A common objective is to maximize the product yield or other process-related responses. By seeking to only maximize the desirability of the responses, one might however find conditions that are not stable. A way to take into account stability is to use the Simulation Experiment tool found in the ...

    German, Swiss, Austrian Discussions |
    Sep 30, 2021 6:38 AM
    1323 views | 0 replies

  • Einführung in Functional Data Explorer (FDE) - Beispiele aus der Praxis und Diskussionsrunde

    Leiter der Diskussion: @martindemel und @blum_b_1    Die Funktion „Funktionaler Datenexplorer“ (FDE) bietet einen verbesserten Arbeitsablauf, der es ermöglicht, die Erstellung von Zwischentabellen, Neustrukturierung und Verknüpfungen zu umgehen. Offene Diskussionsrunde anhand Beispiele von Procter & Gamble mit Beatrice Blum "Vergleich der Skalar-Modellierung von FDE mit der von extrahierten Kurven...

    German, Swiss, Austrian Discussions |
    Sep 30, 2021 6:37 AM
    1311 views | 0 replies

  • Histogramme in JMP

    Präsenter: @Bernd2Heinen  Histogramme zur Verteilung der Coronainfektionen bereichern seit einem Jahr unsere täglichen Sehgewohnheiten. Zeit, sich ein paar grundsätzliche Gedanken zu machen. Die meisten Darstellungen von Histogrammen gleichen den Darstellungen im Fernsehen, alle Balken haben dieselbe Breite. Das ist aber nur ein Spezialfall dieser Verteilungsansicht, für den es allerdings gute Grü...

    German, Swiss, Austrian Discussions |
    Sep 29, 2021 11:39 PM
    1071 views | 0 replies

  • Neu in JMP 16

    (view in My Videos)   Hier das Recording des Parts "Neu in JMP 16" inklusive unserer Diskussion im Anschluss.   JMP 16 ist vollgepackt mit neuen und hilfreichen Verbesserung der vorhandenen Funktionen. Neben einigen Highlights wie Aktions-Aufzeichnung und Log-Modus und Modell-Screening lernen Sie in diesem Mastering JMP über individuelle Datumsformate, neue Visualisierungs- und Organisations-funkt...

    German, Swiss, Austrian Discussions |
    Sep 29, 2021 3:47 PM
    1073 views | 0 replies

  • UN World Data Forum 2021 – Registration to access the online event platform is open!

    Sharing for all those who may be interested. We are pleased to announce that the registration to access the online event platform for the United Nations World Data Forum 2021, scheduled to take place from 3 - 6 October 2021 in Bern, Switzerland is now open.  See full programme here.

    Register to get FREE access to all live speaker sessions, and networking opportunities whether joining the event in-...

    Data for Green Library |
    Sep 16, 2021 10:40 AM
    821 views | 0 replies

  • WFJUG Virtual Meeting today

    Friendly reminder of the WFJUG virtual meeting today from noon-1pm. Hope to see you there. 

    1034 views | 0 replies

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