This example demonstrates a small automated data-update workflow that refreshes a dataset by running a Python script. It shows how environment variables supply credentials and user identification, which are then passed to an asynchronous update function. The code uses Python’s `asyncio` library to manage the asynchronous task, while `os.environ` retrieves the required secrets from the system environment. The visualization itself is not rendered here; instead, the example focuses on the programmatic data-fetching and update logic, with the actual charting or rendering handled separately by an unspecified front-end tool.