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Data Table Fields

Complete guide to data table field types, configuration, and management in Atlas

Data table fields define how information is stored and displayed in Atlas. Each field type serves specific data needs and can be enhanced with AI capabilities.

Field Types

Text Fields

Store names, descriptions, and identifiers.

Number Fields

Store numeric values with validation.

Boolean Fields

True/false values for yes/no questions.

Date Fields

Store temporal information with timezone support.

Select Fields

Choose from predefined options.

  • Single-select: One choice from a list
  • Multi-select: Multiple choices allowed
    • Assign colors for map visualization

Rating Fields

Numerical evaluation scales.

Contact Fields

  • Phone: Auto-formatting with international support
  • Email: Format validation and click-to-email

AI-Enhanced Fields

Enable AI for any field type to automate data entry and analysis.

Setup Process

  1. Add field → Select type → Toggle "Use AI"
  2. Write specific instructions with context
  3. Reference other fields using {field_name}
  4. Test with preview before creating

AI Capabilities

  • Text: Generate descriptions, extract information
  • Number: Calculate values, estimate missing data
  • Boolean: Make logical decisions, classify data
  • Select: Auto-categorize, standardize inputs
  • Date: Extract dates from text, calculate relative dates
  • Rating: Score based on criteria, assess risk
  • Contact: Extract and validate contact information

Writing Effective AI Instructions

  • Be specific about expected output
  • Provide context and boundaries
  • Include examples of desired format
  • Reference other field data with {field_name}

Field Configuration and Management

Adding New Fields

  1. Navigate to your dataset in Atlas
  2. Open the data table view
  3. Click "+ Add Field" in the table header
  4. Select field type from the dropdown menu
  5. Configure field properties:
    • Field name and description
    • Validation rules and constraints
    • Default values and formatting
    • AI settings (if applicable)
  6. Test field behavior with sample data
  7. Save field configuration

Modifying Existing Fields

Supported Modifications:

  • Change field names and descriptions
  • Modify display formatting
  • Add or remove AI capabilities
  • Adjust field ordering
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