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Calendar

The Calendar Widget provides a visual way to track and organize events, incidents, or tasks within a dataset. This widget is tailored for operational environments, such as manufacturing, where monitoring and managing shop floor events are critical. By linking datasets to calendar views, users can see and interact with events based on specific fields, improving visibility and coordination.

Key Features​

  • Dataset Integration: Select a dataset to connect events directly to the calendar.
  • Property Mapping: Map key fields from the dataset to the calendar, including event details, notes, and properties.
  • Event Visualization: Displays events on a daily, weekly, or monthly view, ensuring clear visibility of upcoming and past activities.
  • Interactive Fields: Allows users to click on events to view detailed notes or associated data.

Use Cases​

  • Incident Management: Track incidents or maintenance schedules in manufacturing operations.
  • Task Scheduling: Organize tasks and deadlines for teams or departments.
  • Shop Floor Visibility: Visualize machine breakdowns, production shifts, or inspections over time.

Step-by-Step Guide to Set Up the Calendar Widget​

  1. Navigate to Dashboards.
  2. Click on the pencil icon in the top-right corner.
  3. Click on the Add Widget icon.
  4. Select Calendar Widget and click Next.
  5. Fill out the following fields:
    • Widget Name: Enter a name for the widget (e.g., "Shop Floor Calendar").
    • Dataset: Select the dataset containing the event data you want to link to the calendar.
    • Data Property Field: Choose the field from the dataset that represents the core event details.
    • Notes Property Field: Select the field containing additional notes or descriptions about the events.
    • Events Property Field: Choose the field representing the specific event type or category.
  6. Click Submit to finalize the widget setup.
  7. Click Save to apply the widget to your dashboard.

Your Calendar Widget is now configured, providing an interactive calendar view of your dataset's events, helping you manage schedules and incidents effectively.

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