---
title: "Overlap"
slug: "overlap"
updated: 2025-07-18T16:05:26Z
published: 2025-07-18T16:05:26Z
canonical: "docs.datajet.app/overlap"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.datajet.app/llms.txt
> Use this file to discover all available pages before exploring further.

# Overlap

Calculates and visualizes inclusion and exclusion counts and metrics across all combinations of user supplied dataSets simultaneously

| Key | Value(s) | Description |
| --- | --- | --- |
| method | "Overlap" | Calculates and visualizes inclusion and exclusion counts and metrics across all combinations of user supplied dataSets simultaneously |
| asTable | "TableName" | outputs results to a datajet table |
| countMode | "countMode" | 0 = default 1 = Percent Only 2 = |
| [dataSet](/v1/docs/dataset-1){} |  | Optional Base Filter |
| dataSets[] |  | Input datasets |
| enabled[] |  | dataset is included in the calculation |
| [forEach](/v1/docs/foreach){} |  | When Iterator is selected the forEach method will be activated |
| hideEmptySetRow |  | remove 00000 row |
| index | true/false | include index, base target columns |
| names[] |  | List of Dataset display names |
| saveAsModel | "ModelName" | Optional. Name of model same as saveAs. Saves output to Data table Viewer list |
| [saveAs](/v1/docs/saveas) | "ModelName" | Optional. Name of model same as saveAsModel Saves output to Data table Viewer list |
| [secondaryProcess](/v1/docs/secondaryprocess){} |  | supported |
| sortMode | "sortMode" | 0 = hits 1 = count 2 = default |
| workbook | "WorkbookName" | outputs to excel workbook |

```json
{
  "method": "Overlap",
  "project": "BENCH_nyc_taxi",
  "asTable": "TestTable"
  "upset": true,
  "dataSet": {
    "logic": "or",
    "name": "PU_Borough_Brooklyn",
    "strict": true,
    "set": [
      {
        "logic": "and",
        "stype": "FIELD",
        "entity": {
          "type": "field",
          "name": "fhvhv.PU_Borough",
          "table": "fhvhv",
          "valueFilter": []
        },
        "op": "=",
        "values": [
          "Brooklyn"
        ]
      }
    ]
  },
  "dataSets": [
    {
      "logic": "or",
      "name": "IS_AIRPORT_TRIP",
      "strict": true,
      "set": [
        {
          "logic": "or",
          "stype": "FIELD",
          "entity": {
            "type": "field",
            "name": "fhvhv.IS_AIRPORT_TRIP",
            "table": "fhvhv",
            "valueFilter": []
          },
          "op": "=",
          "values": [
            "1"
          ]
        }
      ],
      "NodeType": "DataSet"
    },
    {
      "logic": "or",
      "name": "IS_FROM_AIRPORT",
      "strict": true,
      "set": [
        {
          "logic": "or",
          "stype": "FIELD",
          "entity": {
            "type": "field",
            "name": "fhvhv.IS_FROM_AIRPORT",
            "table": "fhvhv",
            "valueFilter": []
          },
          "op": "=",
          "values": [
            "1"
          ]
        }
      ],
      "NodeType": "DataSet"
    },
    {
      "logic": "or",
      "name": "IS_LONG_TRIP",
      "strict": true,
      "set": [
        {
          "logic": "or",
          "stype": "FIELD",
          "entity": {
            "type": "field",
            "name": "fhvhv.IS_LONG_TRIP",
            "table": "fhvhv",
            "valueFilter": []
          },
          "op": "=",
          "values": [
            "1"
          ]
        }
      ],
      "NodeType": "DataSet"
    },
    {
      "logic": "or",
      "name": "IS_TO_AIRPORT",
      "strict": true,
      "set": [
        {
          "logic": "or",
          "stype": "FIELD",
          "entity": {
            "type": "field",
            "name": "fhvhv.IS_TO_AIRPORT",
            "table": "fhvhv",
            "valueFilter": []
          },
          "op": "=",
          "values": [
            "1"
          ]
        }
      ],
      "NodeType": "DataSet"
    },
    {
      "logic": "or",
      "name": "IS_MORNING_RUSH",
      "strict": true,
      "set": [
        {
          "logic": "or",
          "stype": "FIELD",
          "entity": {
            "type": "field",
            "name": "fhvhv.IS_MORNING_RUSH",
            "table": "fhvhv",
            "valueFilter": []
          },
          "op": "=",
          "values": [
            "1"
          ]
        }
      ],
      "NodeType": "DataSet"
    },
    {
      "logic": "or",
      "name": "IS_EVENING_RUSH",
      "strict": true,
      "set": [
        {
          "logic": "or",
          "stype": "FIELD",
          "entity": {
            "type": "field",
            "name": "fhvhv.IS_EVENING_RUSH",
            "table": "fhvhv",
            "valueFilter": []
          },
          "op": "=",
          "values": [
            "1"
          ]
        }
      ],
      "NodeType": "DataSet"
    },
    {
      "logic": "or",
      "name": "IS_RUSH_HOUR",
      "strict": true,
      "set": [
        {
          "logic": "or",
          "stype": "FIELD",
          "entity": {
            "type": "field",
            "name": "fhvhv.IS_RUSH_HOUR",
            "table": "fhvhv",
            "valueFilter": []
          },
          "op": "=",
          "values": [
            "1"
          ]
        }
      ],
      "NodeType": "DataSet"
    }
  ],
  "names": [
    "IS_AIRPORT_TRIP",
    "IS_FROM_AIRPORT",
    "IS_LONG_TRIP",
    "IS_TO_AIRPORT",
    "IS_MORNING_RUSH",
    "IS_EVENING_RUSH",
    "IS_RUSH_HOUR"
  ],
  "enabled": [
    true,
    true,
    true,
    true,
    true,
    true,
    true
  ],
  "sortMode": 1,
  "countMode": 0,
  "index": true,
  "upsetConfig": {},
  "hideEmptySetRow": false
}
```