Correlation Dashboard

Any dependence in statistics is known to be some kind of a statistical relationship between two bivariate data or random variables. Correlation is known as a part of the statistical relationships that involve dependence. In more common usage it may also refer to the way two variables are placed to each other so they can have a linear relationship with each other.

The most popular examples of such dependent phenomena may include the correlation between the physical statures of parents and their children. Also, a correlation may appear between the price for a product and its demand.

Correlations are very useful for a reason of being able to indicate a predictive relationship. Such relationship can be always exploited in practice and an example for it may be an electrical utility that can produce less power on a mild day which is known from the correlation between weather and electricity demand.

For those users who intend to capture a UEM data, the UEM Correlation Overview dashboard may be created in order to show a variety of UEM capacity data so it may give an opportunity to get an overall picture of UEM deployment as a whole. Such dashboard may include such data as the Queued UEM Events, the Processed User Actions, the Dropped/Skipped User Actions, the Visits, User’s Action Correlation Time, UEM Correlation Activity — Web Requests, UEM Correlation Activity — CPU, Processed Web Requests and Beacons as well as the Visit Analysis.

Correlation Dashboard solution can be used while creating the dashboards in the ConceptDraw DIAGRAM diagramming and drawing software. This solution contains the set of the Live Objects that were designed for helping to visualize a predictive relationship between two numerical parameters of items from one or few series by using the Scatter Plot Charts.