Working with Joins

You can expand the basic one-table dataset by creating joins with other relevant tables from same or other data stores. Combining data across multiple tables enhances the richness of the dataset considerably; it enables you to conduct much more meaningful research and produce insightful visual analytics.

Consider: Joins created in Arcadia are not materialized; they are calculated during run-time.

There are two distinct approaches for creating data joins for the purpose of visualization.

Tip. The following video demonstrates how to create a data join in the Cereals dataset by adding a join between the principal table cereals and an external table cereal_brands.

For step-by-step instructions on how to create and manage joins, read the following articles: