Embedding a on-the-fly visualization, as opposed to a saved look, gives you complete flexibility to programmatically define the data set and look and feel of an embedded table or graph.
In this example, we’ve built a custom interface to let users choose from a predefined set of measures, dimensions, filters, and visualization types, and then request an on-the-fly visualization from looker with those parameters.
This Block contains an API call for retrieving the results of a Look, including everything from a full data table, or...
This Block enables users to pull the SQL from queries executed through Looker’s Explore page.
This Block makes it simple to embed custom dashboards and create a curated data environment.