Identities and Labels in Analyst's Notebook

Understanding Identities and Labels

Identities and labels are fundamental components in i2 Analyst's Notebook. They provide the foundation for creating meaningful visualizations and conducting effective analysis.

Identities in Analyst's Notebook

An identity in Analyst's Notebook is a unique identifier for an entity or link. Identities serve several important purposes:

• They uniquely identify each item on your chart
• They allow the software to recognize when two items represent the same real-world entity
• They enable merging of duplicate entities during data import
• They support matching operations across different charts

When creating entities manually, you'll assign identities through the entity properties. When importing data, identities are typically mapped from a unique field in your dataset.

Labels in Analyst's Notebook

Labels are the visible text that appears on your chart items. Effective labeling is crucial for chart readability and analysis:

• Labels provide context and meaning to the visual elements
• They can display key attributes of an entity or relationship
• They can be formatted to highlight important information
• They support search operations within your chart

Analyst's Notebook provides flexible options for configuring labels, including multi-line labels, custom formatting, and conditional display based on attributes.

Best Practices for Identities and Labels

Consider these best practices when working with identities and labels in your charts:

• Use consistent naming conventions for identities
• Include sufficient detail in labels to make entities distinguishable
• Keep labels concise to avoid visual clutter
• Use formatting (bold, color, etc.) sparingly to highlight key information
• Consider using multi-line labels to organize information logically
• Ensure that identity fields are properly mapped during data imports