Infinite extent for field

Irwan_Kurniawan · July 20, 2022, 6:27am

I copy and paste from Population Pyramid Example | Vega to Kibana and I got Infinite extent for field "people": [Infinity, -Infinity]

{
  "$schema": "https://vega.github.io/schema/vega/v5.json",
  "description": "A population pyramid showing U.S. demographics from 1850 to 2000.",
  "autosize": "none",
  "height": 400,
  "padding": 5,
  "signals": [
    {"name": "chartWidth", "value": 300},
    {"name": "chartPad", "value": 20},
    {"name": "width", "update": "2 * chartWidth + chartPad"},
    {
      "name": "year",
      "value": 2000,
      "bind": {"input": "range", "min": 1850, "max": 2000, "step": 10}
    }
  ],
  "data": [
    {"name": "population", "url": {"index": "population"}},
    {
      "name": "popYear",
      "source": "population",
      "transform": [{"type": "filter", "expr": "datum.year == year"}]
    },
    {
      "name": "males",
      "source": "popYear",
      "transform": [{"type": "filter", "expr": "datum.sex == 1"}]
    },
    {
      "name": "females",
      "source": "popYear",
      "transform": [{"type": "filter", "expr": "datum.sex == 2"}]
    },
    {
      "name": "ageGroups",
      "source": "population",
      "transform": [{"type": "aggregate", "groupby": ["age"]}]
    }
  ],
  "scales": [
    {
      "name": "y",
      "type": "band",
      "range": [{"signal": "height"}, 0],
      "round": true,
      "domain": {"data": "ageGroups", "field": "age"}
    },
    {
      "name": "c",
      "type": "ordinal",
      "domain": [1, 2],
      "range": ["#d5855a", "#6c4e97"]
    }
  ],
  "marks": [
    {
      "type": "text",
      "interactive": false,
      "from": {"data": "ageGroups"},
      "encode": {
        "enter": {
          "x": {"signal": "chartWidth + chartPad / 2"},
          "y": {"scale": "y", "field": "age", "band": 0.5},
          "text": {"field": "age"},
          "baseline": {"value": "middle"},
          "align": {"value": "center"},
          "fill": {"value": "#000"}
        }
      }
    },
    {
      "type": "group",
      "encode": {"update": {"x": {"value": 0}, "height": {"signal": "height"}}},
      "scales": [
        {
          "name": "x",
          "type": "linear",
          "range": [{"signal": "chartWidth"}, 0],
          "nice": true,
          "zero": true,
          "domain": {"data": "population", "field": "people"}
        }
      ],
      "axes": [
        {"orient": "bottom", "scale": "x", "format": "s", "title": "Females"}
      ],
      "marks": [
        {
          "type": "rect",
          "from": {"data": "females"},
          "encode": {
            "enter": {
              "x": {"scale": "x", "field": "people"},
              "x2": {"scale": "x", "value": 0},
              "y": {"scale": "y", "field": "age"},
              "height": {"scale": "y", "band": 1, "offset": -1},
              "fillOpacity": {"value": 0.6},
              "fill": {"scale": "c", "field": "sex"}
            }
          }
        }
      ]
    },
    {
      "type": "group",
      "encode": {
        "update": {
          "x": {"signal": "chartWidth + chartPad"},
          "height": {"signal": "height"}
        }
      },
      "scales": [
        {
          "name": "x",
          "type": "linear",
          "range": [0, {"signal": "chartWidth"}],
          "nice": true,
          "zero": true,
          "domain": {"data": "population", "field": "people"}
        }
      ],
      "axes": [
        {"orient": "bottom", "scale": "x", "format": "s", "title": "Males"}
      ],
      "marks": [
        {
          "type": "rect",
          "from": {"data": "males"},
          "encode": {
            "enter": {
              "x": {"scale": "x", "field": "people"},
              "x2": {"scale": "x", "value": 0},
              "y": {"scale": "y", "field": "age"},
              "height": {"scale": "y", "band": 1, "offset": -1},
              "fillOpacity": {"value": 0.6},
              "fill": {"scale": "c", "field": "sex"}
            }
          }
        }
      ]
    }
  ]
}

Irwan_Kurniawan · July 20, 2022, 9:10am

I created an index using json data before and want to use it on this query.

flash1293 · July 21, 2022, 1:42pm

If you do a search on the population index, it will return a full search response, not just an array. You have to pluck the relevant data out of that response before using it. Use the "Inspect" menu and the "vega debug" view in there to see how the data you get from Elasticsearch looks like.

Irwan_Kurniawan · July 22, 2022, 3:11am

Is there an example how to pluck the relevant data?

Irwan_Kurniawan · July 22, 2022, 5:06am

I followed the instruction from Use Vega Visualization with Dynamic Data (Index) - #2 by suhasgupta1 but the data became only one column.

{
"$schema": "https://vega.github.io/schema/vega/v5.json",
"description": "A population pyramid showing U.S. demographics from 1850 to 2000.",
"height": 400,
"padding": 5,
"signals": [
{"name": "chartWidth", "value": 300},
{"name": "chartPad", "value": 20},
{"name": "width", "update": "2 * chartWidth + chartPad"},
{
"name": "year",
"value": 2000,
"bind": {"input": "range", "min": 1850, "max": 2000, "step": 10}
}
],
"data": [
{
"name": "population",
"url": {
"%context%": true,
"index": "population",
"body": {
"aggs": {
"eqpt_buckets": {
"composite": {
"size": 5000,
"sources": [
{"year": {"terms": {"field": "year"}}},
{"sex": {"terms": {"field": "sex"}}},
{"age": {"terms": {"field": "age"}}},
{"people": {"terms": {"field": "people"}}}
]
}
}
}
}
},
"format": {"property": "aggregations.eqpt_buckets.buckets"}
},
{
"name": "popYear",
"source": "population",
"transform": [{"type": "filter", "expr": "datum.year == year"}]
},
{
"name": "males",
"source": "popYear",
"transform": [{"type": "filter", "expr": "datum.sex == 1"}]
},
{
"name": "females",
"source": "popYear",
"transform": [{"type": "filter", "expr": "datum.sex == 2"}]
},
{
"name": "ageGroups",
"source": "population",
"transform": [{"type": "aggregate", "groupby": ["age"]}]
}
],
"transform": [
{"calculate": "datum.key.year", "as": "year"},
{"calculate": "datum.key.sex", "as": "sex"},
{"calculate": "datum.key.age", "as": "age"},
{"calculate": "datum.key.people", "as": "people"}
],
"scales": [
{
"name": "y",
"type": "band",
"range": [{"signal": "height"}, 0],
"round": true,
"domain": {"data": "ageGroups", "field": "age"}
},
{
"name": "c",
"type": "ordinal",
"domain": [1, 2],
"range": ["#d5855a", "#6c4e97"]
}
],
"marks": [
{
"type": "text",
"interactive": false,
"from": {"data": "ageGroups"},
"encode": {
"enter": {
"x": {"signal": "chartWidth + chartPad / 2"},
"y": {"scale": "y", "field": "age", "band": 0.5},
"text": {"field": "age"},
"baseline": {"value": "middle"},
"align": {"value": "center"},
"fill": {"value": "#000"}
}
}
},
{
"type": "group",
"encode": {"update": {"x": {"value": 0}, "height": {"signal": "height"}}},
"scales": [
{
"name": "x",
"type": "linear",
"range": [{"signal": "chartWidth"}, 0],
"nice": true,
"zero": true,
"domain": {"data": "population", "field": "people"}
}
],
"axes": [
{"orient": "bottom", "scale": "x", "format": "s", "title": "Females"}
],
"marks": [
{
"type": "rect",
"from": {"data": "females"},
"encode": {
"enter": {
"x": {"scale": "x", "field": "people"},
"x2": {"scale": "x", "value": 0},
"y": {"scale": "y", "field": "age"},
"height": {"scale": "y", "band": 1, "offset": -1},
"fillOpacity": {"value": 0.6},
"fill": {"scale": "c", "field": "sex"}
}
}
}
]
},
{
"type": "group",
"encode": {
"update": {
"x": {"signal": "chartWidth + chartPad"},
"height": {"signal": "height"}
}
},
"scales": [
{
"name": "x",
"type": "linear",
"range": [0, {"signal": "chartWidth"}],
"nice": true,
"zero": true,
"domain": {"data": "population", "field": "people"}
}
],
"axes": [
{"orient": "bottom", "scale": "x", "format": "s", "title": "Males"}
],
"marks": [
{
"type": "rect",
"from": {"data": "males"},
"encode": {
"enter": {
"x": {"scale": "x", "field": "people"},
"x2": {"scale": "x", "value": 0},
"y": {"scale": "y", "field": "age"},
"height": {"scale": "y", "band": 1, "offset": -1},
"fillOpacity": {"value": 0.6},
"fill": {"scale": "c", "field": "sex"}
}
}
}
]
}
]
}

flash1293 · July 22, 2022, 8:27am

That should be OK, vega can look up values from complex objects - in the places where you are using the field people at the moment, it should work if you change that to key.people (and so on)

Irwan_Kurniawan · July 22, 2022, 8:51am

Is it need to change for all field like age, sex, and year also? Because when I added to every field, it shown an error again.

Irwan_Kurniawan · July 22, 2022, 9:01am

flash1293 · July 22, 2022, 9:45am

Could you share the spec with inlined data by clicking Inspect, changing View to "Vega debug", then switching to "Spec"? This way I can play around with the spec without access to the source data.

Irwan_Kurniawan · July 22, 2022, 10:09am

Emm.. I can't type it here because more than 35.000 characters. Is there any others way?

Irwan_Kurniawan · July 22, 2022, 10:17am

I changed the yellow circle into 'population' (should be ageGroups) and can show the chart but look like doubly for the y-axis number.
Is it possible to change the data into every column (not in one 'key' variable)?

flash1293 · July 22, 2022, 12:33pm

You could put the spec into a github gist or something like this

Irwan_Kurniawan · July 25, 2022, 3:13am

Hi, you can check here.

github.com

irwankurniawan2202/popilationpyramid/blob/main/spec

{
  "$schema": "https://vega.github.io/schema/vega/v5.json",
  "description": "A population pyramid showing U.S. demographics from 1850 to 2000.",
  "height": "container",
  "padding": 5,
  "signals": [
    {
      "name": "chartWidth",
      "value": 300
    },
    {
      "name": "chartPad",
      "value": 20
    },
    {
      "name": "width",
      "update": "2 * chartWidth + chartPad"
    },
    {
      "name": "year",

This file has been truncated. show original

Irwan_Kurniawan · July 26, 2022, 6:49am

Now it can. I used vega-lite format to done it.

{
  "$schema": "https://vega.github.io/schema/vega-lite/v5.json",
  "description": "A population pyramid for the US in 2000, created using stack. See https://vega.github.io/vega-lite/examples/concat_population_pyramid.html for a variant of this created using concat.",
  "params": [
    {
      "name": "Year",
      "value": 2000,
      "bind": {"input": "range", "min": 1850, "max": 2000, "step": 10}
    }
  ],
  "data": {
    "url": {
      "%context%": true,
      "index": "population",
      "body": {
        "aggs": {
          "eqpt_buckets": {
            "composite": {
              "size": 5000,
              "sources": [
                {"age": {"terms": {"field": "age"}}},
                {"year": {"terms": {"field": "year"}}},
                {"sex": {"terms": {"field": "sex"}}},
                {"people": {"terms": {"field": "people"}}}
              ]
            }
          }
        }
      }
    },
    "format": {"property": "aggregations.eqpt_buckets.buckets"}
  },
  "transform": [
    {"calculate": "datum.key.age", "as": "age"},
    {"calculate": "datum.key.year", "as": "year"},
    {"calculate": "datum.key.sex", "as": "sex"},
    {"calculate": "datum.key.people", "as": "people"},
    {"filter": "datum.year == Year"},
    {"calculate": "datum.sex == 2 ? 'Female' : 'Male'", "as": "gender"}
  ],
  "spacing": 0,
  "hconcat": [
    {
      "width": 400,
      "height": "container",
      "transform": [{"filter": {"field": "gender", "equal": "Female"}}],
      "mark": "bar",
      "encoding": {
        "y": {"field": "age", "axis": null, "sort": "descending"},
        "x": {
          "aggregate": "sum",
          "field": "people",
          "title": "Females",
          "axis": {"format": "s"},
          "sort": "descending"
        },
        "color": {"field": "gender", "scale": {"range": ["#d5855a", "#6c4e97"]}}
      }
    },
    {
      "width": 0,
      "height": "container",
      "view": {"stroke": null},
      "mark": {"type": "text", "align": "center"},
      "encoding": {
        "y": {
          "field": "age",
          "type": "ordinal",
          "axis": null,
          "sort": "descending"
        },
        "text": {"field": "age", "type": "quantitative"}
      }
    },
    {
      "width": 400,
      "height": "container",
      "transform": [{"filter": {"field": "gender", "equal": "Male"}}],
      "mark": "bar",
      "encoding": {
        "y": {"field": "age", "axis": null, "sort": "descending"},
        "x": {
          "aggregate": "sum",
          "field": "people",
          "title": "Males",
          "axis": {"format": "s"}
        },
        "color": {"field": "gender", "legend": null}
      }
    }
  ]
}

system · August 23, 2022, 6:50am

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Infinite extent for field

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