Using Multivariate Methods to Explore Your Data
The multivariate platforms in JMP put powerful analytic techniques at your fingertips. This topic shows how to make the most of multivariate analysis and visualization tools such as scatterplot matrices and correlation heatmaps, principal component analysis, factor analysis, partial least squares and structural equation modeling.
Identifying Important Variables in Your Data
Learn to use simple statistical techniques to identify key variables and interactions in your data as a precursor to building powerful prediction models and uncovering additional insights. See how to use a variety of tools to quickly identify critical variables and root cause significant events in your data.
Language: English | (提供中文交流问答)
Presented By: Kim Hui Lim (林鑫辉), JMP Global Technical Enablement Engineer
Supported By: Julianna Zhou (周暘), JMP Senior Academic Ambassador
