Parallel Sets | Radiant Charts

Parallel Sets visualize the joint distribution of multiple categorical variables. Each variable is represented as a vertical axis with segments sized proportionally to category frequencies. Ribbons flowing between adjacent axes show how categories co-occur â€” wider ribbons indicate more common combinations. They reveal multi-variable categorical patterns that are invisible in simple bar or pie charts, making them ideal for demographic breakdowns, survey responses, decision trees, and flow analysis.

Subtype

▾

Live Preview

{
  "data": [
    {
      "gender": "Male",
      "department": "Engineering",
      "level": "Senior",
      "status": "Active"
    },
    {
      "gender": "Male",
      "department": "Engineering",
      "level": "Junior",
      "status": "Active"
    },
    {
      "gender": "Male",
      "department": "Engineering",
      "level": "Senior",
      "status": "On Leave"
    },
    {
      "gender": "Male",
      "department": "Sales",
      "level": "Senior",
      "status": "Active"
    },
    {
      "gender": "Male",
      "department": "Sales",
      "level": "Junior",
      "status": "Active"
    },
    {
      "gender": "Male",
      "department": "Marketing",
      "level": "Senior",
      "status": "Active"
    },
    {
      "gender": "Female",
      "department": "Engineering",
      "level": "Senior",
      "status": "Active"
    },
    {
      "gender": "Female",
      "department": "Engineering",
      "level": "Junior",
      "status": "Active"
    },
    {
      "gender": "Female",
      "department": "Sales",
      "level": "Senior",
      "status": "Active"
    },
    {
      "gender": "Female",
      "department": "Sales",
      "level": "Junior",
      "status": "On Leave"
    },
    {
      "gender": "Female",
      "department": "Marketing",
      "level": "Senior",
      "status": "Active"
    },
    {
      "gender": "Female",
      "department": "Marketing",
      "level": "Junior",
      "status": "Active"
    },
    {
      "gender": "Non-binary",
      "department": "Engineering",
      "level": "Junior",
      "status": "Active"
    },
    {
      "gender": "Non-binary",
      "department": "Marketing",
      "level": "Junior",
      "status": "Active"
    }
  ],
  "series": [
    {
      "type": "parallelsets",
      "dimensions": [
        "gender",
        "department",
        "level",
        "status"
      ]
    }
  ],
  "title": {
    "text": "Employee Distribution by Category"
  }
}

Edit JSON above · auto-previews after 0.9 s

Parallel Sets (also called Parallel Coordinates for categorical data) display the frequency distribution of categorical variables as bands whose widths are proportional to their counts, with flows between adjacent axes showing how categories relate.

PreviousVoronoi Diagrams

Was this article helpful?