Chord visuals expose the inter-relationships between entities, making them an ideal choice for comparing the similarities within a dataset, or between different groups of data. The nodes/dimensions are on the circumference of a circle, and the relationships between them are the arcs inside the circle. The size of the node is proportional to the measurement. Arcadia Data uses color to help distinguish the overlapping relationship arcs.
Chord visuals are similar to Correlation Heatmap Visuals because they both compare exactly two dimensions. Chords, however, plot dimensions that cover the same value domain, and are better at pointing out the presence of a relationship between nodes than the relative magnitude of that relationship.
The following steps demonstrate how to create a new chord visual on a dataset SF
Cabrides. This dataset is based on data previously imported into Arcadia from the datafile
sf-cabride-distribution.csv. Note that each distinct
line segment between two dimensions reports the correlation data. Because the values for
pick-up and drop-off areas,
tgtarea , are in the
same domain, it makes the dataset ideal for demonstrating chord visuals.
In the visuals menu, find and click chord (row 3, column 3).
Populate the shelves from the available fields:
trgarea, and drag them onto the Dimension shelf on the main part of the screen.
ridesand place it onto the Measures shelf .
Click Refresh Visual.
The chord visual appears.
It is very easy to see the details of the individual dimensions:
San Francisco Cab Rides - Chord.
Above the left navigation bar, click Save.