Scatter Chart Configuration

Configure scatter plots for drizzle-cube dashboards. Scatter charts show relationships between two variables, revealing correlations and distributions.

Chart Type

chartType: 'scatter'

Basic Configuration

{
  id: 'scatter-1',
  title: 'Salary vs Experience',
  query: JSON.stringify({
    dimensions: [
      'Employees.yearsOfService',
      'Employees.salary',
      'Employees.name'
    ]
  }),
  chartType: 'scatter',
  chartConfig: {
    xAxis: ['Employees.yearsOfService'],
    yAxis: ['Employees.salary']
  },
  x: 0, y: 0, w: 8, h: 5
}

Chart Configuration (chartConfig)

xAxis (X Variable)

• Type: string[]
• Purpose: Dimension/measure for X axis
• Example: ['Employees.yearsOfService']

yAxis (Y Variable)

• Type: string[]
• Purpose: Dimension/measure for Y axis
• Example: ['Employees.salary']

series (Grouping)

• Type: string[]
• Purpose: Dimension for color grouping
• Example: ['Departments.name']

Examples

Correlation Analysis

{
  id: 'price-demand',
  title: 'Price vs Demand',
  query: JSON.stringify({
    dimensions: [
      'Products.price',
      'Products.unitsSold',
      'Products.name'
    ]
  }),
  chartType: 'scatter',
  chartConfig: {
    xAxis: ['Products.price'],
    yAxis: ['Products.unitsSold']
  },
  x: 0, y: 0, w: 8, h: 5
}

Multi-Category Scatter

{
  id: 'performance-scatter',
  title: 'Performance by Department',
  query: JSON.stringify({
    dimensions: [
      'Employees.productivity',
      'Employees.satisfaction',
      'Employees.name',
      'Departments.name'
    ]
  }),
  chartType: 'scatter',
  chartConfig: {
    xAxis: ['Employees.productivity'],
    yAxis: ['Employees.satisfaction'],
    series: ['Departments.name']
  },
  displayConfig: {
    showLegend: true
  },
  x: 0, y: 0, w: 10, h: 6
}

Use Cases

• Correlation Analysis: Find relationships between variables
• Distribution Patterns: Identify clustering
• Outlier Detection: Spot anomalies
• Multi-Variable Comparison: Compare multiple factors

Related Skills

• Use bubble-chart for three-variable analysis
• Use line-chart for trend analysis