{
  "kind": "datagator#Recipe",
  "context": {
    "kind": "datagator#Recipe#context",
    "items": [
      {
        "kind": "datagator#Recipe#load",
        "from": {
          "$ref": "#/routine/xcf841de99086159886e85c0"
        },
        "as": "M"
      }
    ],
    "itemsCount": 1
  },
  "process": {
    "kind": "datagator#Recipe#process",
    "items": [
      {
        "kind": "datagator#Recipe#comment",
        "text": "# nodeType=dyad"
      },
      {
        "kind": "datagator#Recipe#comment",
        "text": "# name=Convert to Dyad"
      },
      {
        "kind": "datagator#Recipe#comment",
        "text": "# description=Convert a Data Table from a monadic data table (one unit of analysis) to a dyadic Data Table (two units of analysis) using a specified unit of analysis and method of aggregation (count/sum/average) for the pairs. Users can also choose a 'subject' which the dyad shares."
      },
      {
        "kind": "datagator#Recipe#comment",
        "text": "# operation=product"
      },
      {
        "kind": "datagator#Recipe#comment",
        "text": "# dropNull=true"
      },
      {
        "expr": "\"a\", \"abc\", \"Country\", M.columnHeaders.body.rows[0]",
        "kind": "datagator#Recipe#yield"
      },
      {
        "by": "\"a\", \"Country\"",
        "kind": "datagator#Recipe#index",
        "on": "M"
      },
      {
        "kind": "datagator#Recipe#assign",
        "to": "Product",
        "expr": "Transform(\"x[0] * x[1]\", \"x\")"
      },
      {
        "cursor": "key_A, key_B",
        "in": "Product(M, M)",
        "items": [
          {
            "expr": "key_A[0], Slice(key_A, 1, NULL)",
            "kind": "datagator#Recipe#assign",
            "to": "name_A, subject"
          },
          {
            "expr": "key_B[0], Slice(key_B, 1, NULL)",
            "kind": "datagator#Recipe#assign",
            "to": "name_B, subject_B"
          },
          {
            "cond": "name_A == name_B or subject != subject_B",
            "items": [
              {
                "kind": "datagator#Recipe#continue"
              }
            ],
            "itemsCount": 1,
            "kind": "datagator#Recipe#if"
          },
          {
            "kind": "datagator#Recipe#assign",
            "to": "data_A",
            "expr": "Average(M[key_A].body)"
          },
          {
            "kind": "datagator#Recipe#assign",
            "to": "data_B",
            "expr": "Average(M[key_B].body)"
          },
          {
            "kind": "datagator#Recipe#assign",
            "to": "metrics",
            "expr": "Stack(data_A, data_B)"
          },
          {
            "kind": "datagator#Recipe#assign",
            "to": "nilmask",
            "expr": "(Count(metrics) < 2)"
          },
          {
            "expr": "Product(metrics)",
            "kind": "datagator#Recipe#assign",
            "to": "result"
          },
          {
            "kind": "datagator#Recipe#assign",
            "to": "result[nilmask]",
            "expr": "NULL"
          },
          {
            "cond": "not Any(result)",
            "items": [
              {
                "kind": "datagator#Recipe#continue"
              }
            ],
            "itemsCount": 1,
            "kind": "datagator#Recipe#if"
          },
          {
            "expr": "name_A, name_B, subject, result",
            "kind": "datagator#Recipe#yield"
          }
        ],
        "itemsCount": 11,
        "kind": "datagator#Recipe#for"
      },
      {
        "columnHeaders": 1,
        "kind": "datagator#Recipe#layout",
        "rowHeaders": 3
      }
    ],
    "itemsCount": 10
  },
  "routine": {
    "xcf841de99086159886e85c0": {
      "context": {
        "items": [],
        "itemsCount": 0,
        "kind": "datagator#Recipe#context"
      },
      "kind": "datagator#Recipe",
      "process": {
        "items": [
          {
            "expr": "\"Country\",\"a\",1990,1989,1991,1992",
            "kind": "datagator#Recipe#yield"
          },
          {
            "columnHeaders": 1,
            "kind": "datagator#Recipe#layout",
            "rowHeaders": 2
          }
        ],
        "itemsCount": 2,
        "kind": "datagator#Recipe#process"
      }
    }
  }
}