The video is part 3 of a tutorial on Pipeline Pilot Data Functions by Discngine. It explains how to use data functions to transform a Spotfire dataset by creating additional columns, rows, or new data tables. The video demonstrates this using an example where a new data table is created from an existing one using a Pipeline Pilot protocol that produces clusters of similar molecules based on molecular fingerprints. The protocol is explained, including how it reads incoming data from Spotfire, clusters the chemical structures, and generates a new dataset containing the clustering information. The protocol exposes several input parameters that can be set by the user. After registering the protocol as a data function, users can use it in their Spotfire document to create a new data table and visualize the clustering information. The next video will show how to use Pipeline Pilot Data Functions to create an interactive dashboard for end-users.
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