Identify the custom requirement
Describe the interval definition the study needs and specify how its boundaries should relate to the available subscription dates.
Scientist / Data & AI
Bring specialized logic into the visual workflow.
Scientist lets researchers extend workflows with Python, R or Java/Scala logic. A team can introduce a domain-specific transformation where the analysis needs it, while keeping that code step connected to the surrounding preparation and research workflow.
Custom codeScientist
Add a Python step that derives observation intervals from subscription dates for the renewal study.
In the workspace
Workflow input
Subscription dates and account identifiers
Custom logic
Python · Derive observation interval fields
Review output
Inspect interval boundaries and missing-date handling
Keep specialized code attached to its analytical inputs and outputs.
How it works in Scientist
The researcher can use the derived interval fields in downstream analysis while collaborators inspect the logic and its behavior on relevant subscription records.
Add the code step
Implement the transformation in a supported language and connect it between the prepared subscription data and the downstream analytical operators.
Inspect representative records
Review ordinary and incomplete date cases to check whether the generated fields reflect the intended research definition before continuing the analysis.
Bring Scientist to your team.
Explore custom code around your company’s workflows.