This n8n workflow is designed to demonstrate a basic data transformation process. It begins with a "Mock Data" node, which is a Function node. This node generates a static array of three JSON objects, each representing a person with an 'id' and 'name' property. The data includes entries for "Jim", "Stefan", and "Hans". The output of the "Mock Data" node is then passed to a second Function node named "Create an array of objects". This node takes the incoming array of individual JSON objects and processes them using the `map` function. Specifically, it extracts the `json` property from each item in the input array, effectively collecting the person objects. The result is a single JSON object containing a key called "data_object", whose value is an array of the original person objects. The primary benefit of this workflow is its simplicity in illustrating how to generate sample data and then aggregate it into a structured format within n8n. It showcases a fundamental pattern of data manipulation, where raw or generated data is transformed into a more usable or consolidated structure for subsequent processing steps in a larger automation. This is a common starting point for testing and building more complex workflows.