| Segment | Description | Who's On Air |
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Welcome |
Monologue: Dinner Table Stats - Errors in Statistics
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| Featured Program |
Members of the JMP Academic Team discuss programs available to support the next generation of scientists and engineers. While the team is dedicated to helping license and support faculty, students and researchers with the JMP Academic Suite, they do so much more. For professors, the group provides full curriculum support, free course materials, consulting, guest lectures, data sets and more. Students have access to a plethora of free learning materials and resources to advance their careers. The group also connects businesses with university programs, giving students real world applications of concepts they’re learning n their programs and helping them network with potential employers.
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@julian |
| Tip of the Day |
Mary and Pete are back to show us how to use the local data filter to work with subsets of our data without leaving a report. Since Pete finds himself eating way too much candy these days, Mary uses the candy bar data set to show him how to use the local data filter to subset your data. You’ll also get a closer look at how to “Order by Count,” adjust factors to narrow in on your data of interest and save scripts to your “favorites.”
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@Peter_Hersh |
| Resource Spotlight |
In this episode of Community Spotlight, Manager of JMP Customer Care Jeff Perkinson interviews four JMP Super Users to talk about how and why they use the JMP User Community. Though they insist they get more from the JMP Community than they give, that’s hard to believe. Together these four longtime JMP users – Jim Nelson @txnelson, Mark Bailey @markbailey, Georgia Morgan @gzmorgan0 and Peter Mroz @pmroz – have authored nearly 2,500 solutions and garnered more than 8,000 kudos. After giving you a brief introduction to how they started using the community, they give you tips for using the community more effectively.
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@Jeff_Perkinson |
| Resource Spotlight |
In today’s edition of Resource Spotlight, JMP Senior Technical Writer Michael Crotty highlights the User Community’s JSL Cookbook. Added to the JMP Community a few years ago, the Cookbook contains code snippets to help you when you’re writing JSL applications. Michael shows you how to search and use the JSL Cookbook: Simply grab the JSL, copy it into a new script and append as needed. And, because it’s part of the JMP Community it’s very easy to add to the Cookbook. Finally, Michael shows you how to quickly and easily “Nominate” future Cookbook articles to help others looking for scripting conclusions.
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@michael_jmp |
| JMP Can Do That |
Today’s JMP Can Do That? episode shows you how easy it is to map the starts with JMP’s Star Jumper. Created by JMP Director of Genomics Russ Wolfinger, Star Jumper shows you the position of start visible in the sky – anytime, any place. Senior Systems Engineer Jordan Hiller gives us a tour of the JMP add-in. He’ll show you how to manipulate your view, including what you want to see, how many stars you want visible, how to turn on an off the sun, more and planets, constellation labels and stick figures, and more. Though we don’t look specifically at the coding, Jordan also gives you a behind the scenes look at the data tables and inner workings of how JMP Star Jumper creates its amazing visualizations works.
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@Jordan_Hiller |
| JMP in Action |
Jump into the car for the road trip of a lifetime! Shortly after graduating from Virginia Tech Caleb King landed a job in California, meaning he had to pack up his stuff and travel from the east to the west coast. The week-long trip sparked a love of travel he’s had ever since. Recently, Caleb asked himself the question: “Can I create a road trip that traversed every U.S. highway?” In this installment of JMP In Action, Caleb will show you how he used JMP and Graph Theory to plan the ultimate All-America Road trip. His rules: 1) the trip must traverse every active major US highway, a total of 88. 2) Visit each highway only once; no repeat visits. With his plan in hand, Caleb collected the data and begun coding the algorithm. First, he converted highway intersections into a JSL Associative Array. Next he used a Depth-First search as a first pass attempt and then added in the highways left out, adding constraints to force connections where needed. Take a look at the resulting path. But, before you hit the road, there’s probably something you should know: It’ll take more than 600 hours and cover more than 34,000 miles. Have you saved up enough vacation days?
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@calking |
| Ask the Data Doctor |
Sometimes a column contains text that would be more useful if it were stored as columns of data. In this segment of Ask the Data Doctor, JMP Systems Engineer Brady Brady expands on an earlier episode by continuing this discussion around converting text to columns. The Data Doctor shows us more ways to use JMP's Text to Columns tool to generate new columns from text. Using a variety to data (including newspaper, trucks and order data), Brady will also give you tips for using – and display for your viewing pleasure – the real power and flexibility behind JMP’s data filter, how to create and select indicator columns, combine columns and more.
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@brady_brady |
| Closing | The Last 5 | @julian |