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International AB"},"license":"MIT","homepage":"https://github.com/qlik-oss/nebula.js#readme","keywords":["qlik","nebula","supernova","boxplot"],"repository":{"url":"git+https://github.com/qlik-oss/nebula.js.git","type":"git"},"description":"Boxplot supernova","maintainers":[{"email":"cbt@qlik.com","name":"ccm33"},{"email":"nilssonanders79@gmail.com","name":"nilzona_user"},{"email":"niekvanstaveren@gmail.com","name":"niekvanstaveren"},{"email":"christian.veinfors@gmail.com","name":"veinfors"},{"email":"tobias.astrom@qlik.com","name":"tobias-astrom-qlik"},{"email":"niclas.fors@gmail.com","name":"tassekatt"}],"readme":"# @nebula.js/sn-boxplot\n\nThe box plot is suitable for comparing range and distribution for groups of numerical data, illustrated by a box with whiskers, and a center line in the middle. The whiskers represent high and low reference values for excluding outlier values.\n\n## Requirements\n\nRequires `@nebula.js/stardust` version `1.4.0` or later.\n\n## Installing\n\nIf you use pnpm: `pnpm install @nebula.js/sn-boxplot`. You can also load through the script tag directly from [https://unpkg.com](https://unpkg.com/@nebula.js/sn-boxplot).\n\n## Usage\n\n```js\nimport { embed } from '@nebula.js/stardust';\nimport boxplot from '@nebula.js/sn-boxplot';\n\n// 'app' is an enigma app model\nconst embeddable = embed(app, {\n  types: [\n    {\n      // register box plot chart\n      name: 'boxplot',\n      load: () => Promise.resolve(boxplot),\n    },\n  ],\n});\n\nembeddable.render({\n  element,\n  type: 'boxplot',\n  fields: ['Region', 'Product Group', '=Avg(Sales)'],\n});\n```\n\n## More examples\n\n### Percentile-based\n\nThis preset is defined with the box start and end points representing the first and third quartiles, and the center line representing the median, but the whisker length is adjusted by setting a percentile based whisker position. The example is using 5th/95th percentile. Setting `mode` in `calculations` to `fractiles` and `fractiles` in `parameters` to `0.05`.\n\n```js\n// 'app' is an enigma app model\nembeddable.render({\n  element,\n  type: 'boxplot',\n  fields: ['Region', 'Product Group', '=Avg(Sales)'],\n  // overrides default properties\n  properties: {\n    boxplotDef: {\n      calculations: {\n        auto: true,\n        mode: 'fractiles',\n        parameters: {\n          tukey: 1.5,\n          fractiles: 0.05,\n          stdDev: 3,\n        },\n      },\n      color: {\n        auto: true,\n      },\n      elements: {\n        outliers: {\n          include: true,\n          sortOutliers: true,\n        },\n      },\n      presentation: {\n        whiskers: {\n          show: true,\n        },\n      },\n      qHyperCubeDef: {},\n      sorting: {\n        autoSort: true,\n      },\n    },\n  },\n});\n```\n\n### Standard deviation\n\nThis preset is based on standard deviations, with the center line representing the average value, and the box start and end points representing one standard deviation variance. You can set the whisker length to a multiple of standard deviations. The example is using two standard deviations. Setting `mode` in `calculations` to `stdDev` and `stdDev` in `parameters` to `3`.\n\n```js\n// 'app' is an enigma app model\nembeddable.render({\n  element,\n  type: 'boxplot',\n  fields: ['Region', 'Product Group', '=Avg(Sales)'],\n  // overrides default properties\n  properties: {\n    boxplotDef: {\n      calculations: {\n        auto: true,\n        mode: 'stdDev',\n        parameters: {\n          tukey: 1.5,\n          fractiles: 0.05,\n          stdDev: 3,\n        },\n      },\n      color: {\n        auto: true,\n      },\n      elements: {\n        outliers: {\n          include: true,\n          sortOutliers: true,\n        },\n      },\n      presentation: {\n        whiskers: {\n          show: true,\n        },\n      },\n      qHyperCubeDef: {},\n      sorting: {\n        autoSort: true,\n      },\n    },\n  },\n});\n```\n\n### Customized box plot\n\nThe example defines `elements` using custom expressions, `color` and `orientation`.\n\nThe example based on the original box plot definition by J. Tukey. The center line represents the median (second quartile), and the box start and end points represent the first and third quartiles. Whisker length is set to 2 inter-quartile ranges. An inter-quartile range represents the difference between the first and third quartiles.\n\n```js\n// 'app' is an enigma app model\nembeddable.render({\n  element,\n  type: 'boxplot',\n  fields: ['Region', 'Product Group', '=Avg(Sales)'],\n  // overrides default properties\n  properties: {\n    boxplotDef: {\n      calculations: {\n        auto: false,\n        mode: 'tukey',\n        parameters: {\n          tukey: 2,\n          fractiles: 0.05,\n          stdDev: 3,\n        },\n      },\n      color: {\n        auto: false,\n        box: {\n          paletteColor: {\n            color: '#66ccbb',\n            index: -1,\n          },\n        },\n        point: {\n          paletteColor: {\n            color: '#cc6677',\n            index: -1,\n          },\n        },\n      },\n      elements: {\n        firstWhisker: {\n          name: '',\n          expression: {\n            qValueExpression: {\n              qExpr:\n                'Rangemax(Fractile( total <[Product Group]> Aggr( Avg(Sales), [Product Group], [Region] ) ,0.25 ) - ((Fractile( total <[Product Group]> Aggr( Avg(Sales), [Product Group], [Region] ) ,0.75 ) - Fractile( total <[Product Group]> Aggr( Avg(Sales), [Product Group], [Region] ) ,0.25 )) * 2), Min( total <[Product Group]> Aggr( Avg(Sales), [Product Group], [Region] )  ))',\n            },\n          },\n        },\n        boxStart: {\n          name: '',\n          expression: {\n            qValueExpression: {\n              qExpr: 'Fractile( total <[Product Group]> Aggr( Avg(Sales), [Product Group], [Region] ) ,0.25 )',\n            },\n          },\n        },\n        boxMiddle: {\n          name: '',\n          expression: {\n            qValueExpression: {\n              qExpr: 'Median( total <[Product Group]> Aggr( Avg(Sales), [Product Group], [Region] )  )',\n            },\n          },\n        },\n        boxEnd: {\n          name: '',\n          expression: {\n            qValueExpression: {\n              qExpr: 'Fractile( total <[Product Group]> Aggr( Avg(Sales), [Product Group], [Region] ) ,0.75 )',\n            },\n          },\n        },\n        lastWhisker: {\n          name: '',\n          expression: {\n            qValueExpression: {\n              qExpr:\n                'Rangemin(Fractile( total <[Product Group]> Aggr( Avg(Sales), [Product Group], [Region] ) ,0.75 ) + ((Fractile( total <[Product Group]> Aggr( Avg(Sales), [Product Group], [Region] ) ,0.75 ) - Fractile( total <[Product Group]> Aggr( Avg(Sales), [Product Group], [Region] ) ,0.25 )) * 2), Max( total <[Product Group]> Aggr( Avg(Sales), [Product Group], [Region] )  ))',\n            },\n          },\n        },\n        outliers: {\n          include: true,\n          sortOutliers: true,\n        },\n      },\n      presentation: {\n        whiskers: {\n          show: true,\n        },\n      },\n      qHyperCubeDef: {},\n      sorting: {\n        autoSort: true,\n      },\n    },\n    orientation: 'horizontal',\n  },\n});\n```\n","readmeFilename":"README.md"}