| Segment | Description | Who's On Air |
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Welcome |
Monologue: Asked Nobody: Intraday Fitness Data | |
| Featured Program |
All Graphs are Wrong, But Some Are Useful Esse quam videri – “To be, rather than to seem.” Xan Gregg, director of JMP R&D and creator of JMP Graph Builder, can relate with the Latin phrase (and North Carolina state motto): “Seeming and being are not always the same thing.” Though data visualization is often our most efficient tool for understanding information, Xan says, it’s far from perfect. Collected data is an imperfect representation of the underlying information. A graph is an imperfect representation of the data. Our understanding is an imperfect representation of the graph. But, maybe it’s not as hopeless as it seems. In this talk, Xan explains how understanding visual perception can help us make more effective data visualizations and shows you how JMP Graph Builder can improve the presentation of your data to tell a clearer story.
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@XanGregg |
| Featured Program |
Tell me what you see: Creating a graphical tool for others An analysis is only useful if those receiving it can do something with the discoveries. So, how can you make sure those who use your visualizations are getting the information they need? According to JMP Senior Systems Engineer Wendy Tseng, the way to make your analysis more effective is to shorten the time between data collection and curation and sharing that data with other collaborators in your organization. Fortunately, JMP does this well. In this segment, Wendy shows you how JMP scripts and collaborative platforms like JMP Live can easily empower other experts in your organization to explore data (and your graphs) more freely.
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@wendytseng |
| Did You Know |
Saving High Quality Graphics from JMP for Publication and Presentation In this episode of Did You Know?, JMP Systems Engineer Ross Metusalem explains how to get your visuals out of JMP and into your presentations or publications so they can have the most impact for your organization. If you’re currently just copying and pasting a screenshot of your visualization into a PowerPoint, Ross says “Stop!” You’re pixilating your image and negatively impacting your message. Instead, Ross show you how to use vector graphics, specifically enhanced metafile format (EMF), to get high-quality images out of JMP. He’ll also show you easy ways to customize your graphics without going back into JMP.
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@Ross_Metusalem |
| Tip of the Day |
It’s Pete’s day to take care of the kids, so you know what’s on the menu for dinner: Hot Dogs! In today’s Tip of the Day, Pete and Mary show us how to use functionality in JMP to virtually connect data from one table to another. Using hot dog data, Mary and Pete show us how to conduct a virtual join so you can preserve your original tables, yet still use data from multiple tables to do your analysis. But first a public service announcement: hot dogs made with Mystery Meat, though scary sounding, do taste best.
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@Peter_Hersh |
| Featured Program |
Visualizing Complex Behaviours Continuing his in-depth exploration of Design of Experiments, as outlined in his blog series Why DOE?, Systems Engineer Phil Kay looks at how JMP’s visual tools can help remove some of the complexity in your designed experiment. After recapping the main points from past episodes, Phil dives back into the DOE example he introduced in the first episode to tackle this issue of complex behaviors – particularly how factors respond when interacting with each other. Phil shows us how design of experiments and JMP’s interactive visualizations, even simple graphs of the data, can help you understand complex behaviors.
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@Phil_Kay |
| Featured Program |
According to JMP System Engineer Mike Anderson, “A chart or graph should have a clear purpose. If it doesn’t meet that purpose, it’s not a good chart.” To illustrate this example, Mike shows us a spider diagram of five sensory attributes for 14 types of beer to see if we can answer some simple questions. Ultimately, it’s pretty obvious it’s not easy to get that information out of the spider plot. More importantly, Mike asks: “How hard did you have to think?” A useful visualization, Mike says, must meet five criteria: It’s comprehensive, truthful, “not ugly,” obvious and effortless. So, can his example be presented in a better way? Mike shows us a number of possible candidates so you can judge for yourself.
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@MikeD_Anderson |
| Closing | The Last 5 | @julian |