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Kevin Potcner
เข้าร่วมเมื่อ 24 เม.ย. 2020
Statistical Methods for Data Discovery
วีดีโอ
Exploring Outliers and Missing values using JMP
มุมมอง 6K4 ปีที่แล้ว
Learn techniques and tools to: * Find missing values in a datasets and summarize results * Uncover features and relationships that describe the "missingness" in the data. * Impute missing values * Identify outliers * Build statistical models that handle situations where there is a substantial amount of the data missing.
Examples of Using JMP to Analyze Data with Many Variables
มุมมอง 3K4 ปีที่แล้ว
In the webinar you will learn tools in JMP that can analyze data with a large number of variables. Techniques will include: 1. Using animation-based visualization to explore data over time (using Bubble Plot). 2. Performing a large number of statistical tests simultaneously to find those response variables that result in statistically significant results (using Response Screener). 3. Finding th...
Teaching and Learning Resources
มุมมอง 1554 ปีที่แล้ว
Demonstration of the many resources JMP makes available for faculty and students
Building Predictive Models in JMP March 2020
มุมมอง 9K4 ปีที่แล้ว
Learn the process and workflow of building a predictive model using JMP Statistical Software.
ANOVA, Regression, and Partition Trees April 2020
มุมมอง 824 ปีที่แล้ว
Learn statistical techniques to: - Build ANOVA, Regression, and Partition Trees to explain relationships between input variables and an outcome variable and predict outcomes. JMP Learning Resources
Data Visualization and Statistical Modeling Techniques and JMP Learning Resources March 2020
มุมมอง 1414 ปีที่แล้ว
Learn statistical techniques to: - Summarize data through visualization and numerical summaries - Explore multidimensional data to uncover patterns and features - Build statistical models to find and describe relationships between variables and predict outcomes JMP Learning Resources
Data Visualization, Exploration, and Statistical Modeling Techniques Aug 2019
มุมมอง 2014 ปีที่แล้ว
Learn statistical techniques to: - Summarize data through visualization and numerical summaries - Explore multidimensional data to uncover patterns and features - Build statistical models to find and describe relationships between variables and predict outcomes
Analyzing Data in Quality and Process Optimization Applications Oct 2019
มุมมอง 1174 ปีที่แล้ว
Learn statistical techniques used in quality control and optimization processes - Statistical Process Control charts - Process Capability Analysis - Measurement Systems Analysis
Data Visualization, Exploration, and Statistical Modeling Techniques_Feb 2019
มุมมอง 1424 ปีที่แล้ว
Learn statistical techniques to: - Summarize data through visualization and numerical summaries - Explore multidimensional data to uncover patterns and features - Build statistical models to find and describe relationships between variables and predict outcomes
25:10
Thank you for this lecture. A few questions. 1. How can I create validation columns without JMP pro? Manually? 2. Can I run neural or partition models without validation data?
Right now, you would have to make the validation column manually if using JMP instead of JMP Pro. With that said, however, the neural and partition platforms do allow you to choose a proportion of the data to allocate to training and validation when running. Option to choose that is in the dialog box.
I have JMP Pro 16 and I can't generate R code in the Formula Depot. How will I generate R code instead of available programming languages in JMP?
R is not an option at this version. Main reason being is that R wouldn't really be a good language for implementing a model into a computing environment to produce predictions. Python would be though.
where to find that dataset?
archive.ics.uci.edu/ml/datasets/student+performance
Thank you so much Kevin: this it is really very detailed and appreciated.
Very informative session