In the webinar you will learn tools in JMP that can analyze data with a large number of variables. Techniques will include:
1. Using animation-based visualization to explore data over time (using Bubble Plot).
2. Performing a large number of statistical tests simultaneously to find those response variables that result in statistically significant results (using Response Screener).
3. Finding the variables that most impact a response when there are more variables than observations (using Bootstrap Forest).
4. Comparing variation between two groups of highly-dimensional data (using Principal Component Analysis).