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Configure data tables in drizzle-cube dashboards for displaying detailed records with sorting. Use when creating data tables, sortable lists, detailed views, or tabular data displays.

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SKILL.md

name table
description Configure data tables in drizzle-cube dashboards for displaying detailed records with sorting. Use when creating data tables, sortable lists, detailed views, or tabular data displays.

Data Table Configuration

Configure data tables for drizzle-cube dashboards. Tables display detailed records with columns for dimensions and measures, supporting sorting and pagination.

Chart Type

chartType: 'table'

Basic Configuration

{
  id: 'table-1',
  title: 'Employee List',
  query: JSON.stringify({
    dimensions: [
      'Employees.name',
      'Employees.email',
      'Departments.name',
      'Employees.createdAt'
    ],
    measures: ['Employees.salary'],
    order: { 'Employees.createdAt': 'desc' },
    limit: 20
  }),
  chartType: 'table',
  x: 0, y: 0, w: 12, h: 6
}

Chart Configuration (chartConfig)

Tables don't require chartConfig by default - all dimensions and measures from the query are automatically displayed as columns.

Optional Configuration:

xAxis (Column Selection)

  • Type: string[]
  • Optional: Yes
  • Purpose: Explicitly select which columns to display (if omitted, all fields are shown)
  • Example: ['Employees.name', 'Employees.email', 'Employees.count']
// Display specific columns only
chartConfig: {
  xAxis: ['Employees.name', 'Employees.email', 'Sales.totalRevenue']
}

// Or omit chartConfig to show all fields
// (default behavior)

Query Configuration

dimensions

  • Displayed as standard columns
  • Sortable by clicking column headers

measures

  • Displayed as numeric columns
  • Formatted appropriately (currency, decimals)

order

  • Set default sort order
  • Example: { 'Employees.name': 'asc' }

limit

  • Control number of rows
  • Recommended: 10-50 rows

Examples

Employee List

{
  id: 'employee-table',
  title: 'All Employees',
  query: JSON.stringify({
    dimensions: [
      'Employees.id',
      'Employees.name',
      'Employees.email',
      'Departments.name',
      'Employees.isActive'
    ],
    measures: ['Employees.salary'],
    order: { 'Employees.name': 'asc' }
  }),
  chartType: 'table',
  x: 0, y: 0, w: 12, h: 6
}

Recent Orders

{
  id: 'recent-orders',
  title: 'Recent Orders',
  query: JSON.stringify({
    dimensions: [
      'Orders.id',
      'Orders.customerName',
      'Orders.status',
      'Orders.createdAt'
    ],
    measures: ['Orders.totalAmount'],
    order: { 'Orders.createdAt': 'desc' },
    limit: 20
  }),
  chartType: 'table',
  x: 0, y: 0, w: 12, h: 5
}

Top Products

{
  id: 'top-products',
  title: 'Top Selling Products',
  query: JSON.stringify({
    dimensions: [
      'Products.name',
      'Products.category'
    ],
    measures: [
      'Orders.count',
      'Orders.totalRevenue'
    ],
    order: { 'Orders.totalRevenue': 'desc' },
    limit: 10
  }),
  chartType: 'table',
  x: 0, y: 0, w: 8, h: 5
}

Use Cases

  • Detailed Records: Show full record details
  • Rankings: Display top/bottom items
  • Recent Activity: List recent transactions
  • Comparison Tables: Compare multiple items
  • Export Data: Provide data for copying/exporting

Best Practices

  1. Limit rows - Use limit for performance
  2. Set default sort - Provide meaningful default order
  3. Choose relevant columns - Don't show all fields
  4. Format measures - Ensure proper number formatting
  5. Consider pagination - Use offset for large datasets

Related Skills

  • Use queries skill for complex table queries
  • Use bar-chart for visual comparisons