# Independent Y axes for dual axis wrapped facet

**URL:** <https://discuss.elastic.co/t/independent-y-axes-for-dual-axis-wrapped-facet/265992>\
**Category:** Kibana\
**Tags:** vega\
**Created:** [March 2, 2021, 5:08pm UTC](https://discuss.elastic.co/t/independent-y-axes-for-dual-axis-wrapped-facet/265992 "2021-03-02T17:08:54Z")\
**Posts on this page:** 7\
**Page:** 1

<div class="post-metadata">

**Author:** ![Pranusha119](https://avatars.discourse-cdn.com/v4/letter/p/47e85d/32.png) [@Pranusha119](https://discuss.elastic.co/u/Pranusha119)\
**Post date:** [March 2, 2021, 5:08pm UTC](https://discuss.elastic.co/t/independent-y-axes-for-dual-axis-wrapped-facet/265992/1 "2021-03-02T17:08:54Z")

</div>

Hello,

My requirement is to get dual axis charts in wrapped facet as in below link.

> **[Editor/IDE for Vega and Vega-Lite](https://vega.github.io/editor/#/url/vega-lite/N4IgJAzgxgFgpgWwIYgFwhgF0wBwqgegIDc4BzJAOjIEtMYBXAI0poHsDp5kTykBaADZ04JACyUAVhDYA7EABoQAEySYUqUAwBOgtCrVICTJLrgBPKTPkBfJQDMkUOJjSh7NOIOX6IIxSCY5jhw+mzayjSySHp2IM6ymHDaaJjaDHBKUGyCDAiyEGgATEoQIVBuIIJI5sloANqgyNoA1vomKUpwstmRsmSV5pVIZGTafEn6CHCRSPIOnt765os+SkEh+gCODHOYdGo0pAHQMaGaIABeyWxojoIQcDZxAB6VHl4+6MSmnkEBG3OIHCfRiJ3CrnQ-DecWygnC71WyzgpgBwSBsjYCCiYOediapja6GEslCXR6bD6AwuQwuIzGEyBEDyAQ+S3QK0+aM26B2ewO+2OpSgZ0q120t1Q90ezyUbwubK+IB+2j+Q3W6LCERxelKEP00JAsJyCIuP1yQIAxAAGW12o3PAC6SnGMkExwup0E51AtJAUWUcBCskDiSNSiQLxohRp+gDQe6odceJdcDdHtAXp9IHl-pDCfzYaUfvjwaT4ZAkejgzj+bL3WTxtkHmpoA6w2EZHk6ASSRSeKAA)**
>
> The Vega editor is a web application for authoring and testing Vega and Vega-Lite visualizations. It includes a number of example specifications that showcase both the visual encodings and interaction techniques.

I have used the same code with my data , but wasn't getting independent Y axes for dual charts as below :

 ![image](https://us1.discourse-cdn.com/elastic/original/3X/d/c/dc9751809a245b51f1fd9809c298c23b70f2c149.png)

```auto
{
  "$schema": "https://vega.github.io/schema/vega-lite/v4.json",
  "data": {
    "url": {
      "%context%": true,
      "index": "index_paincure_0709",
      "body": {
        "size": 10000,
        "_source": ["Media_Type", "Unit_Key_Message", "Readability"]
      }
    },
    "format": {"property": "hits.hits"}
  },
  "facet": {"field": "_source.Media_Type", "type": "ordinal", "title": ""},
  "center": true,
  "columns": 2,
  "spec": {
    "layer": [
      {
        "mark": "bar",
        "encoding": {
          "y": {
            "aggregate": "sum",
            "field": "_source.Readability",
            "type": "quantitative",
            "scale": {"zero": false}
          },
          "x": {
            "field": "_source.Unit_Key_Message",
            "type": "ordinal",
            "sort": "-x",
            "title": ""
          }
        }
      },
      {
        "mark": "line",
        "encoding": {
          "y": {
            "aggregate": "count",
            "field": "_source.Unit_Key_Message",
            "type": "quantitative",
            "scale": {"zero": false}
          },
          "x": {
            "field": "_source.Unit_Key_Message",
            "type": "ordinal",
            "sort": "-x",
            "title": ""
          },
          "color": {"value": "#000000"}
        }
      }
    ],
    "resolve": {"scale": {"y": "independent"}, "axis": {"y": "independent"}}
  },
  "resolve": {
    "scale": {"x": "independent", "y": "independent"},
    "axis": {"y": "independent"}
  },
  "config": {"bar": {"align": "center"}}
}

```

---

<div class="post-metadata">

**Author:** ![nickofthyme](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/nickofthyme/32/60032_2.png) [@nickofthyme](https://discuss.elastic.co/u/nickofthyme)\
**Post date:** [March 5, 2021, 8:56pm UTC](https://discuss.elastic.co/t/independent-y-axes-for-dual-axis-wrapped-facet/265992/2 "2021-03-05T20:56:06Z")

</div>

Hey @Pranusha119

Based on the example you provided, I recreated a simple playground using your config with the data from the example (swapping their keys for yours) and it appears to work fine, see link and screenshot below.

[Open the Chart in the Vega Editor](https://vega.github.io/editor/#/url/vega-lite/N4KABGBEAkDODGALApgWwIaQFxUQFzwAdYsB6UgN2QHN0A6agSz0QFcAjOxge1IRQyUa6ALQAbZskoAWOgCtY3AHaQANOCgATdHkw5QECJAroxrZLGxgA2hsOHgkAErJ029owl4AntgBMAOyqkACqSswA+gDSyN4RALIWsOjUyNiQ8ehKSKwAToyYwd6uudgAjACcAMxlwYmaBREAKt6EaVih4VS5sMzeYABi6LmokAC+6hCOLm7oHl6+WNIAHHTLAGybQZ2RMXGJsMmp6ZnZbPmFkMXD5dW1GcgN6M2t7ZAA6uiwyPCYExrTVzuTx9fwBOjSKpQ6TBMK7WIJJIpN6nHIXNRXEq3Gp1R6NFptE7cXL5Sz-KbOIFzEE+bBVCp0apQqqw8J4aIIg5HFFZNEFDHXUpYSo4h5PF6EjoAYVy3G4AGtYHhlONJmBAbN5qCsFU-IzNuttnD2XtEYdkSdeed+UUscK7rjxQS3gBxXJZTRgJzoQiMTRktUa4ELfyrCoGo1sjn7JHHDqo62XQXY+71fGvdIAEVYZhYqoBlM1NMWkLoAAYDetWfCY+a45AXWI5rKVLabvbRWnns70nDur0fINhqNyerC8HtQBWSd0PzVk2c2OupvsFsCu0i1N47sZjqfb6-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-ShVXobVgUbbhVTli9eXQ29+2E19CNdYtYl0f1DFDWlf4Y7hYOQzxU3vSz33waVJPIVmK1rVTAtnlUYOTpWeN8U0uTIB4bO-TLHTGaZg43SOCvA9q6y08shEMyp+Oa9rjC69LhnpADAUsYrJa02Fhrq-WDs68TIn61+KV8zJY3SGDTJKbbkUB1rQeS2d3Viah1UYej5vsQyvvcRBrVvIHTvB4lS1cwNjHDUDp5ybTsfC4XosdCXzsh67HQSatUm19Z3uzrljmM-jABy3B0GA0iTgE7fl2JhsDv0JvZ3X2CTsB-tvOPk-T7PZdI2J7ur-3oZ0AX+VM5AO9TzPc+H5+KPhyfmXT5xQ9Q3bfE33v99p5+GcKaYTNmvHUeoygfxFjDH+d8D7-1dH1KuvMX5jShJxLe6QYH7xTojeBstJIoM2mDKs8ci6YInlPdYfg-4c0-Iva6w5CEW1CuFUhLdr4UOjtQuBtDfJfH8kwpW2VlasOHl-esP8qE0NJslH8fdX6rFVgaDBHRJHcJwezGRlU0I1WAZ7HOiw-CyFjjCNh0DOFSJ4VohsiCeZMUEYYzeZir5qOkaHbu8t9GgN1OfSBzcYYAAVXB4CbP1NxndLomSXuZU2XjT5LEUWrZx+Mgk6FCZocJF1j7yLGhxDYojP4JzeKkkJHpMnI1RhHeqmNsYkLEUU9IJT0nlPTuTXRDi6SyAviPPiTSylWNDpXOxNcQHxN1CoyAfSwkDIiR43uozMpGPfgUqBLjOEBEnC0uhXQokMNugsqOYN84TJ-hsrZfCDwe3SgY-weo6mFLIao9ZmyZkXSfnIg5mNZD3HqY8jhu8zmvKWoA9pOTAKVHPic555yHy2MGvYsF2o0EVmUck7+0KgViTmR0nUDIm6X3xu8VK8BlC9CUGAG+VRlgwoNjso2y9GGIrPBvNYEyiUIFJYwcllLqWYv+vwwGnzcIMmjis-xV92Ukq0lyilFCqU0rDh8uJr8GT5L9mi+skrOXcrlbyjResIkgqzkyuSshRXqt+ewrV0qdWT3lXyhB9F4UjOVag2pbLiXatlXavVQlNHuLlvM11IMY4TITHkG0+rxkPyMnS6JK8TV0lpua7p4ieRnAjXNKWc4Y1uwFVc-mNydSyBEZsMNVpM3OxzXg+MlScU+PDGKglfFw3omJtW3h6QjWU2DbhcB9NLUw1bZGv11QO3WKGc6qp1N2J6iURah57Dh1ZuxOOgNBDE06jBssCZMEKJRrXRE+hxtGVCqVuCAIA7F0wz3YJTy0aa0fHzfWhSV7Vn41va2A989H51s3aDcGfjm31k-VWn9ZMdHGrPYsMoZq33io-QJL9o6H2dt6k66u06vYhTWEBnpIGkNgdzV3QNOLAgQmZKYwdV8iqzSI4+49DL9m9qVooiZtG4rfuI0+y5L66Y22o-jDjK6OyHreX+6D-hsqWwE9emjM1OMobE8CtpUGWMweIfB4D003J0fbeB2FGHkH-r1M9WT76ooKZEyKZTWLSP-u3RMuGrN9PccYzE+t4IqNyfxs5iWSmDN7mfZuqlawtP4beH5+jaHFVoxC3qFFZaNWRfFtF6x3a9HXO8aZ8LaaxafX8-e2ztE4WYbI3qFNTnUuucfdi-9DJEupoaa3JOpcuMMbjXs2JWX4nSAZGZ-FEX0htxqzF7JkmliafMwhjWrW0uh3eXFibWMwvTe08Nubo30uqZ7T1xZ0ncvNcgCN9rMXJ1lZC9JiZJ2AvcbqxNgDkJoRQt3rA071j3MJuW6Zl7t9sG3cfeN9T2BSyTko793+W2FsSeB8WnGh2-lYPm4anbmXC2gIhZV5L5DXv-aK4FmxRmEUPb1E1xHnC3sA5i-d2HfgZzzrJ+w1xUOj2dZPcxvbUcukQ8se90OQPOeY0Z+Y3evOqfWMW1hotVRspg7W0Np5ov1Hi9DhlnFEKKg8+V-j7j53jMk7oJOLXyOLo08F7hVYjWJlTIySzi6n3T2w+VvxuOgnenBOaXbpaAv0e9dpjmt39Ybcm4qc-f9M4BuDbyx0YPXvWmQd277xZRy8PR8mR7-pfOIl6+J077GpbhdX1j1n039mJsy4h4CkvS0Hcc6T1HbGoMm0K-+VPKvKuIk+8jl82cCOmcYur2JSX9b+3y7T6cl5g+AGo-VxHvvIu2+T47xdHPLrzfsTsqno7E+Q92Y3eXnd2O9yeptd6sA9qp+xsYFddn3X6+ARZRA5vafrVkrPxf5f3vgvLfBE-hdFnNUT838eVd9f0w9y8ZxNcj8PggCZUQC49p8E80du9cJpMt8-lX84DdVQDHVuYp0yM8V58JVYDbVz9fUddat7M7AwAABdDQUcSAAAM3QHgFZn0CYMYEOgyRwFzVUCgB8ElCgGJAaCUFMDUH4OYDEHaCgF-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-D2DXCrDHBTBGBqAVAeD5DFDSh9SQAxggA)

 ![](https://us1.discourse-cdn.com/elastic/original/3X/6/f/6fd939f72511722dde75c9af3baff4a50346f79f.png)

To me, based on your screenshot, it looks like both axes are rendered but for some reason, the chart area is zero such that the axes are back to back. The [Scale and Guide Resolution](https://vega.github.io/vega-lite/docs/resolve.html) looks correct, though `"axis": {"y": "independent"}` may be redundant.

If you are able to provide a sample dataset in json form, I could take another look and see what may be the cause and if this may be a kibana issue.

---

<div class="post-metadata">

**Author:** ![Pranusha119](https://avatars.discourse-cdn.com/v4/letter/p/47e85d/32.png) [@Pranusha119](https://discuss.elastic.co/u/Pranusha119)\
**Post date:** [March 6, 2021, 5:18pm UTC](https://discuss.elastic.co/t/independent-y-axes-for-dual-axis-wrapped-facet/265992/3 "2021-03-06T17:18:35Z")

</div>

Hello @nickofthyme, thanks for looking into this.

Have provided the data for above spec and also gave another example with sample dataset(kibana\_sample\_data\_ecommerce) in below link.

> <https://github.com/vega/vega-lite/issues/7278>
>
> Hello,
> My requirement is to get dual axis charts in wrapped facet as in below link.
> https://vega.github.io/editor/#/url/vega-lite/N4IgJAzgxgFgpgWwIYgFwhgF0wBwqgegIDc4BzJAOjIEtMYBXAI0poHsDp5kTykBaADZ04JACyUAVhDYA7EABoQAEySYUqUAwBOgtCrVICTJLrgBPKTPkBfJQDMkUOJjSh7NOIOX6IIxSCY5jhw+mzayjSySHp2IM6ymHDaaJjaDHBKUGyCDAiyEGgATEoQIVBuIIJI5sloANqgyNoA1vomKUpwstmRsmSV5pVIZGTafEn6CHCRSPIOnt765os+SkEh+gCODHOYdGo0pAHQMaGaIABeyWxojoIQcDZxAB6VHl4+6MSmnkEBG3OIHCfRiJ3CrnQ-DecWygnC71WyzgpgBwSBsjYCCiYOediapja6GEslCXR6bD6AwuQwuIzGEyBEDyAQ+S3QK0+aM26B2ewO+2OpSgZ0q120t1Q90ezyUbwubK+IB+2j+Q3W6LCERxelKEP00JAsJyCIuP1yQIAxAAGW12o3PAC6SnGMkExwup0E51AtJAUWUcBCskDiSNSiQLxohRp+gDQe6odceJdcDdHtAXp9IHl-pDCfzYaUfvjwaT4ZAkejgzj+bL3WTxtkHmpoA6w2EZHk6ASSRSeKAA
> I have used the same code with...

---

<div class="post-metadata">

**Author:** ![nickofthyme](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/nickofthyme/32/60032_2.png) [@nickofthyme](https://discuss.elastic.co/u/nickofthyme)\
**Post date:** [March 6, 2021, 10:50pm UTC](https://discuss.elastic.co/t/independent-y-axes-for-dual-axis-wrapped-facet/265992/4 "2021-03-06T22:50:41Z")

</div>

Ok thanks, @Pranusha119. Let's continue this conversation on the GH issue [@vega/vega-lite#7278](https://github.com/vega/vega-lite/issues/7278)

---

<div class="post-metadata">

**Author:** ![nickofthyme](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/nickofthyme/32/60032_2.png) [@nickofthyme](https://discuss.elastic.co/u/nickofthyme)\
**Post date:** [March 6, 2021, 11:52pm UTC](https://discuss.elastic.co/t/independent-y-axes-for-dual-axis-wrapped-facet/265992/5 "2021-03-06T23:52:56Z")

</div>

@Pranusha119,

I found a solution but I think this is still a valid bug in `vega-lite`, but they are better suited to discover the root of the problem.

The solution is to add a [`calculate`](https://vega.github.io/vega-lite/docs/calculate.html) transform on _only_ the `_source.day_of_week` field and passing the new calculated/unnested value `day_of_week` to the `encoding.x.field` on both `layer`s. You could apply a transform for each of the fields to not have to pull from `_source` but it's not necessary for the other fields.

[Here](https://vega.github.io/editor/#/url/vega-lite/N4KABGBEAkDODGALApgWwIaQFxUQFzwAdYsB6UgN2QHN0A6agSz0QFcAjOxge1IRQyUa6ALQAbZskoAWOgCtY3AHaQANOCgATdHkw5QECJAroxrZLGxgA2hoOHIAfUWsATvGRX7hqLoAeYhawjnjcumKOhK6MHlYA7ACsdACcABzqPkbwOjTcrgCeVtaQALLISgDksGAAyojcFmpQZZXVAMJiYYiMStSQALoZmZDa+Y7cAGaOAO7IyADWVpAAYtGjkBoQAL4aW0PeUM7cbrH6mw7+gbDBoeGR0adgAGxxKUM+kNl4uQVFpeVVWr1RqqZoA9qdFg9PqDc5GUbjKazBZLVaMdbnHbbfbnJwudyeM6ZXzoAJBEJhUz3GKE56vZLvBxfH6FHDFFqAuoNSyg-6tMAdLrQgaM+HoMaTGZzRY4FZrcUbHxYsB7Oy4o4nWkHIyXcm3KlRGlWF5vOFQZnUPKsmx8znAnlg-mCqG9EVmkbixFSlGygAqbFcsAxSt2OI+GoJXnduuuFLuhseJoZ7otVr+HOqXJBjsBzu6rthxI9EqR0qW-rcQYVmNDavD+Me2pJZNj+oiCdpiRS6RTOUtvzZtsz9qaQ4FkPzMNFWk9kuRMuaymDhmVqogBzxx0jROGMZulPbD1pAEYAEyyNLTz59tODjPjoWu3n3gCC8A81zyjEaheGCLnZZ+gGVaFDW2J1g4EaNtGpJXPu8ZHlYADMyTdleqYDja955sKv4fP+pY+ouSjLtstbruqDZajBLbwQaiE4ChaG9t8-bWuy4IPi6U7ugR3oLqUS7ViG4EUfWW7QUWe5xvRRqMahl4sSy6acThBZXnx87lsBpEqrsID9ORviuOgSiwBMeSoEU5zANeYjwKwYg5Es2h4KwqB0FByB0JpZa8ugliyr5KLKr+kATOgHh4F44XfmImhLF5dAYYUvJ4PkhC0pAeSaD0pijngzCBEskBrua5TfK4Vh4K45hDJ83BmKgZlWKe9WwJl8BRh8Tn5MgVVsmaTZGBgrgCew6BVdORjlPA3C5a6O7EkY1rDcM6DUNQrjCN8SywO5ahmkWExxQlspJdJbbUrE027hlWUAI6sKZhW6IVVCHctwwIKYWqQAAXv13BWBFYiwMgypfWVX2QH43VfQ4J3IPFLmzoRiy3R86WZUsOV5WIn0I0YiiuNFsoiHDmMXEVWWKgjkOZAzomZGtkCjQJEhKJ4t2QLN83Ckty2QKtR3rZt220LtspzawSjRVTRhIyjQVo-xhNE5A2OPc9cvMDojAfQrUA-cV+gA0DIOmODTOM1TsPwxrStnTOJZq0bmv3bjrgLfl7sk2TUAU+rCOazTJWi8zMNzZ0A1gLZJhmFlADEAAMafp6Vos2wzeFQNtihiB9Zsm391qQD0mjIJlJEVaV-l+IwgVx8LSwV1X5SV3LpWrvV+eNUXce4iXMVw7KbfV538tQGX48d7X0NQKSjcxTPNcT-P+lbEAA) is a working example with a nested `_source.<FIELD>` dataset. Looks something like this...

 ![image](https://us1.discourse-cdn.com/elastic/original/3X/f/c/fcf152480fc5d03d2d12a256e2ab54af0e6be914.png)

* * *

In the case of your original example, a solution would look like...

```json
{
 "$schema": "https://vega.github.io/schema/vega-lite/v4.json",
 "data": {
   "url": {
     "%context%": true,
     "index": "index_paincure_0709",
     "body": {
       "size": 10000,
       "_source": ["Media_Type", "Unit_Key_Message", "Readability"]
     }
   },
   "format": {"property": "hits.hits"}
 },
 "transform": [
   {"calculate": "datum._source.Unit_Key_Message", "as": "Unit_Key_Message"}
 ],
 "facet": {"field": "_source.Media_Type", "type": "ordinal", "title": ""},
 "center": true,
 "columns": 2,
 "spec": {
   "layer": [
     {
       "mark": "bar",
       "encoding": {
         "y": {
           "aggregate": "sum",
           "field": "_source.Readability",
           "type": "quantitative",
           "scale": {"zero": false}
         },
         "x": {
           "field": "Unit_Key_Message",
           "type": "ordinal",
           "sort": "-x",
           "title": ""
         }
       }
     },
     {
       "mark": "line",
       "encoding": {
         "y": {
           "aggregate": "count",
           "field": "Unit_Key_Message",
           "type": "quantitative",
           "scale": {"zero": false}
         },
         "x": {
           "field": "Unit_Key_Message",
           "type": "ordinal",
           "sort": "-x",
           "title": ""
         },
         "color": {"value": "#000000"}
       }
     }
   ],
   "resolve": {"scale": {"y": "independent"}}
 },
 "resolve": {
   "scale": {"x": "independent", "y": "independent"},
   "axis": {"y": "independent"}
 },
 "config": {"bar": {"align": "center"}}
}

```

I hope that helps, let me know if that spec doesn't work, obviously, I can't test it myself 🙂

---

<div class="post-metadata">

**Author:** ![Pranusha119](https://avatars.discourse-cdn.com/v4/letter/p/47e85d/32.png) [@Pranusha119](https://discuss.elastic.co/u/Pranusha119)\
**Post date:** [March 7, 2021, 3:04pm UTC](https://discuss.elastic.co/t/independent-y-axes-for-dual-axis-wrapped-facet/265992/6 "2021-03-07T15:04:34Z")

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Thanks, it's working @nickofthyme

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<div class="post-metadata">

**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\
**Post date:** [April 4, 2021, 3:05pm UTC](https://discuss.elastic.co/t/independent-y-axes-for-dual-axis-wrapped-facet/265992/7 "2021-04-04T15:05:13Z")

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