NY-area System Engineer Mike Anderson kicks off a regular series for JMP On Air: Things I Wish I Knew When I Started Using JMP. After completing his PhD., Mike entered the workforce and almost immediately began using JMP. As a brand-new engineer, Mike spent a lot of his early time using JMP “learning” through trial and error. In this series, Mike shares with you the five critical things that will help make your early days using JMP go smoothly. In this session, Mike covers Thing #1: Turning tables into graphs. Mike argues that putting a data table in front of someone isn’t very stimulating, but presenting data with graphics makes the information you’re trying convey stand out. Follow along as Mike shows you how easy it is to turn your data into basic, but incredibly helpful, JMP visualizations.
In today’s episode of Help! Ross Metusalem introduces the Statistics Index in JMP. Located on the Help Menu, the Statistics Index gives you a list of all statistical methods available in JMP and helps you determine which one to use. Much like the index of a book, the Statistics Index gives you a list of all the statistical methods available, and supplements that information with a definition and even an example of how to use the particular analysis in JMP.
An Arduino is a tiny computer that can be customized to perform many tasks. In this episode of DIY Data, @ryandewitt collects and streams real-time luminance data to JMP. The pilot show for this series, Ryan uses an Arduino Uno R3, and a connected light IR sensor to Pin 0 to get power from the USB attachment to a computer running JMP. Using a script in JMP, Ryan shows you how to collect the data and transfer to a data table with three columns. Follow along as Ryan takes you through each step in the process.