Correlation flows
CDP Data Visualization enables you to create Correlation Flow visuals.
Correlation Flow visuals enable quick visual analysis of co-occurrence of two or more distinct dimensions. In simple form, a correlation flow chart is a linear representations of a 2-dimensional correlation heatmap matrix. Where a correlation heatmap represents correlation values through color intensity, the correlation flow plots thicker lines and taller dimension boxes to represent greater correlation. Note correlation flow is not limited to two dimensions; instead, you can model a large number of correlation 'dimensions'. Note also that ordering of the dimensions on the shelves of the visual provides different insights into the dataset.
The following steps demonstrate how to create a new correlation flow visual on a dataset Customer Value Analysis. This dataset is based on data previously imported into Arcadia from the datafile customer-value-analysis.csv. For an overview of shelves that specify this visual, see Shelves for correlation flows.