Variance Analysis

Use Cases

Variance Analysis analyzes the selected parameters, ranks them by variance, and displays summary metrics for the top 10 parameters. This tool is most helpful early in the exploratory process to find parameters that may be good candidates for additional analysis or to identify parameters with minimal or no variation. This is a good tool to lead to Descriptive Statistics or Time-Series Correlation.


Variance Analysis is a multivariate analysis that you can perform on continuous fields on the Cycle model. You can select multiple machines of a given type.


Variance Analysis computes the variance of all selected parameters over your selected date range. After ranking the parameters by their variance, the tool selects the top 10 parameters. For each parameter, the tool plots a histogram of their values over the date range and a table of summary statistics including Count, Standard Deviation, Minimum, and Maximum.