Author

Daniel Valente
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Product Manager

Daniel Valente is a product manager for JMP, a business unit of SAS that specializes in data visualization software. In his current role, Daniel defines product requirements and helps communicate product information to prospects and users. Before joining SAS, Daniel completed an NIH post-doctoral fellowship at the Boys Town National Research Hospital. Valente holds a PhD in architectural sciences from Rensselaer Polytechnic Institute and has been a longtime JMP user.

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Print-ready graphics from JMP: Step-by-step video tutorial

In the previous article in this series on graphical output options using JMP, I demonstrated how you can prepare graphics tailored for the specific guidelines of resolution and size for a document in print. This technique uses files that are saved in the Encapsulated PostScript (.eps) file format. In the

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Preparing print-ready graphics that look great using JMP

Graphics that are tailored for print in an article you are preparing have different requirements than those that are optimized for viewing on your computer screen. To understand why, we have to think about how graphics are images are displayed on the computer. Computer screens are composed of many small

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Graphical output options using JMP

The best way to make an impact when sharing your statistical discoveries is with compelling graphical output – an area where the data visualization paradigm of JMP is ideal. This four-part blog series will look at some of the options you have for exporting your visualizations created in JMP to