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.
In the visuals menu, find and click correlation flow (row 3, column 5).
Populate the shelves from the available fields:
Vehicle Classand drag it over the Dimension shelf on the main part of the screen. Drop to add it to the shelf.
Policy Type, and
Record Countand place it on the Measures shelf.
Click Refresh Visual.
The correlation flow visual appears.
Note that each distinct line segment between two dimensional events reports its own correlation data, as demonstrated by the Tooltips in the following chart.
Click Edit next to the title of the visualization.
Customer Value Analysis - Correlation Flow.
Above the left navigation bar, click Save.