Plenary - Alberto Cairo - How Charts Lie and How They Make Us Smarter
Alberto Cairo, Professor of Professional Practice, Knight Chair in Visual Journalism, University of Miami Enthusiasm about data visualization has exploded in the past ...
Alberto Cairo, Professor of Professional Practice, Knight Chair in Visual Journalism, University of Miami Enthusiasm about data visualization has exploded in the past ...
Dan Valente @danielvalente, Senior Product Manager, SAS Eric Hill @Eric_Hill, Distinguished Software Developer, SAS JMP Public is the new website where JMP data explorers can share inter...
We like listening to customers. We even like hearing about the difficulties, bottlenecks and frustrations that users encounter in doing real-world work. That's because we need to know how users are a...
Chris Gotwalt Director of Statistical Research and Development, JMP
Dr Melissa Gliner, Senior Health Policy Analyst Kenneth Kovats, Senior Nurse Analyst Dawn Garcia, Nurse Analyst Richard Thorp, Deputy Chief of Analysis and Evaluation US Army MEDCOM ...
Grant Reeves and Moumita Sen, Oklahoma State University Best Student Poster Winner According to the Department of Health and Human Resources, over two million adolescents age...
Level: Beginner Lisa Estey, Senior Staff Scientist, IDEXX Laboratories Sharon Bradbury, Senior Staff Scientist, Beverly Daniels, Director, Operations Excellence, Brian Medeiros, Reagent Manufacturi...
Level: Intermediate Laura Castro-Schilo, JMP Senior Associate Research Statistician Developer, SAS Multivariate data analysis has become an essential skill as the amount of data has skyrocketed a...
Level: Intermediate Cameron Willden, Statistician, W. L. Gore & Associates Willis Jensen, Global Statistics Team Leader, W. L. Gore & Associates Optimal designs have become increasingly ...
Level: Intermediate Ruth Hummel, JMP Academic Ambassador, SAS Clay Barker, JMP Principal Research Statistician Developer, SAS Best Contributed Paper JMP provides a variety of...
Level: Intermediate Casey Volino, Senior Engineering Associate, Corning This talk will focus on incorporating nonlinear constraints in both the design and analyses of experiments. JMP® allo...
Level: Beginner Scott Reese, Scientist, Procter & Gamble Amy Phillips, Principal Scientist, Procter & Gamble To improve and support P&G’s data-driven decision making, our team has be...
Level: Intermediate
Mason Chen, Stanford University OHS Program
Charles Chen, Lean Six Sigma Master Black Belt and Industry Consultant
Best Paper Winner
Many people like eating chocolate, but may have concerns about health risks, especially regarding cardiovascular or neurovascular diseases. Using JMP 14, multivariate statistical techniques were applied to define a health biometric to help with ch...
Joseph Morgan, SAS
Level: Intermediate
Dan Schikore, JMP Principal Software Developer, SAS
Saving an analysis so that it can be repeated on the same or different data tables is an important step in creating an analysis workflow that is efficient and repeatable. The JMP Scripting Language (JSL) can be used along with the drag-and-drop tools available in the JMP Dashboard Builder and Application Builder to quickly bu...
Level: Intermediate
Tony Cooper, Principal Analytical Consultant, SAS
Sam Edgemon, Principal Analytical Consultant, SAS
Machine learning is about creating predictive models. If the target (aka response) is nominal, then a good model will maximize true positives and minimize false positives. Designed experiments will use many of the same analytical algorithms, but the focus is on causality and the app...
Level: Intermediate
Peter Mroz, Statistical Programmer, Janssen Pharmaceutical
Justin Chilton, JMP Senior Associate Test Engineer, SAS
The user interface of an application should be easy to understand and use. Good user interfaces will result in engaged users, fewer frustrations and great user experiences. This talk will focus on how to supercharge your user interfaces using a variety of techniqu...
Level: Intermediate
Milo Page, JMP Research Statistician Developer, SAS
JMP Pro 14 includes a new Automated Data Imputation (ADI) utility, a versatile, empirically tuned, streaming, missing data imputation method. We recommend it for handling missing data as a pre-processing step to predictive model fitting. It empirically tunes to your data set to extract the underlying structure, even in the prese...
Level: Intermediate
Shankang Qu, Statistician, PepsiCo
Mumu Wang, Senior Scientist/Statistician, PepsiCo
This study is intended to evaluate customer reviews and purchasing behavior using supervised learning sentiment analysis. The verbatim (i.e., textual data) collected from consumer feedback and comments on beverage products is classified into categories such as complaint, praise and suggestion. Th...
Level: Intermediate
Casey Volino, Senior Engineering Associate, Corning
This talk will focus on incorporating nonlinear constraints in both the design and analyses of experiments. JMP® allows us to constrain the experimental design space with disallowed combinations, but it does not currently obey those constraints for optimization. Working with JMP® Profilers, a method will be presented that inco...
Jeff Perkinson, JMP Customer Care Manager, SAS In virtually every field, deriving insights from data is central to problem solving, innovation and growth. Without an understanding of which approaches to use, and how to interpret and communicate results, the best opportunities will remain undiscovered. That’s why we created Statistical Thinking for Industrial Problem Solving. This online course ...
Level: Beginner
Michael Anderson, Senior Engineer, Corning
JMP is incredibly powerful, and each new version adds many useful features, but also changes or removes options and moves things around. For new users it can be daunting, and for longtime users it can result in missing out on efficiency-boosting workflows. This paper will step through 20 pieces of advice – from simple tips to more involved t...
Level: Intermediate
Evan Bittner, Statistical Engineer, Corning
Christine Cecala, Senior Research Scientist, Corning
David Brockway, Senior Statistical Engineer and Distinguished Associate, Corning
Casey Volino, Senior Engineering Associate, Corning
Eric L. Null, Senior Chemical Measurement Scientist, Corning
Durability of cover glass on displays is an important attribute for consumer devices. To as...
Susan Cain, Author Susan Cain - Author Quiet: The Power of Introverts in a World That Can’t Stop Talking
Importing Web Service Data:The New HTTP Request in JMP ® 14 (US 2018 231)
Level: Intermediate
Bryan Boone, JMP Principal Software Developer, SAS
Government and private entities are increasingly making their data available over the internet via RESTful services. JMP 14 has a new feature called HTTP Request, available through JSL, that allows you to access these RESTful services. This paper descr...
If you are on the fense about this purchase, then this presentation is for you!
Level: Intermediate
Annie Dudley Zangi, JMP Senior Research Statistician Developer, SAS
Tonya Mauldin, JMP Senior Analytics Software Tester, SAS
Cumulative sum, or CUSUM control charts, are well established as being more efficient in detecting small shifts than Shewhart charts. However, the V-mask in CUSUM charts can be more challenging to interpret than in traditional control charts. In this talk, w...
All materials for the tutorial are included in the attached ZIP file.
Reliability Analysis and Engineering Using JMP
Peng Liu, JMP Principal Research Statistician Developer, SAS
Leo Wright, JMP Principal Product Manager, SAS
The state-of-the-art suite of tools in JMP for studying reliability is designed to enable organizations to provide superior products -- a requirement for success in today’s ...
Level: Intermediate
Shannon Conners, JMP Director of Research and Development, SAS
The JMP team, like many of our customers, is simultaneously engaged in building new product versions and analyzing problem reports from production releases. Customer bug and crash reports provide precious insights into customers’ experience of JMP product quality. JMP began prompting customers to email Mac crash repor...
Kevin Singer, US Army ARDEC Energetic materials play a particularly large role in the effectiveness of the United States Military. They can be found everywhere from projectile propellants to the warheads of munitions. The confidence that our warfighters can utilize these energetic systems reliably across the stockpile is paramount to mission success. The difficulty is that these materials are o...
Level: Intermediate
Chris Gotwalt, JMP Director of Statistical Research and Development, SAS
Philip Ramsey, Principal Lecturer, University of New Hampshire; and Owner, North Haven Group
There are two different goals to statistical modeling: explanation and prediction. Explanatory models often predict poorly (Shmueli, 2010). Often analyses of designed experiments (DOE) are explanatory, yet the experim...
Learn about JMP Public
We need to know how users are approaching modern problems and where gaps exist. So, we listen, we create, and we fix. That's because weSee the new JMP 14 things John Sall thinks you'll find exciting.
Chris Gotwalt, JMP Director of Statistical Research and Development, SAS Scientists and engineers are dealing with more and more data streamed from device-based sensors or batch process monitors. Hundreds or thousands of such data streams can create a large volume of data, very quickly, posing a unique set of challenges. No matter what your industry, common difficulties exist with this type ...