Created
October 29, 2021 03:12
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Deneb Raincloud Plot (Vega-Lite)
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{ | |
"$schema": "https://vega.github.io/schema/vega-lite/v5.json", | |
"usermeta": { | |
"deneb": { | |
"build": "0.6.0.150", | |
"metaVersion": 1, | |
"provider": "vegaLite" | |
}, | |
"interactivity": { | |
"tooltip": true, | |
"contextMenu": true, | |
"selection": false, | |
"dataPointLimit": 50 | |
}, | |
"information": { | |
"name": "Raincloud Plot", | |
"description": "Facet a category and plot its distribution using a density curve and box plot. Also shows individual data points as a jitter strip plot. This uses precise scale domains and facet dimensions to place elements, so you may need to adapt accordingly for your data.", | |
"author": "Daniel Marsh-Patrick", | |
"uuid": "6888ed42-2f88-48ea-afec-bb949a8ec606", | |
"generated": "2021-10-29T03:03:02.022Z" | |
}, | |
"dataset": [ | |
{ | |
"key": "__0__", | |
"name": "Category", | |
"description": "Value to group distribution data by.", | |
"type": "text", | |
"kind": "column" | |
}, | |
{ | |
"key": "__1__", | |
"name": "Granularity", | |
"description": "Column to produce sufficient granularity for sampling. Should be unique in order to prevent Power BI from aggregating.", | |
"type": "numeric", | |
"kind": "column" | |
}, | |
{ | |
"key": "__2__", | |
"name": "Measure", | |
"description": "Quantitative value over which to perform analysis.", | |
"type": "numeric", | |
"kind": "measure" | |
} | |
] | |
}, | |
"config": { | |
"padding": 0, | |
"view": { "stroke": "transparent" }, | |
"facet": { "spacing": 2 }, | |
"header": { | |
"title": null, | |
"labelAngle": 0, | |
"labelAnchor": "start", | |
"labelOrient": "top", | |
"labelPadding": -19, | |
"labelFontSize": 12, | |
"labelFontWeight": 500 | |
}, | |
"font": "Segoe UI", | |
"area": { | |
"color": "#eaeaea", | |
"interpolate": "cardinal", | |
"stroke": "#605E5C" | |
}, | |
"point": { | |
"size": 3, | |
"opacity": 0.5, | |
"color": "#eaeaea", | |
"stroke": "#605E5C", | |
"strokeWidth": 0.25, | |
"filled": true | |
}, | |
"axis": { | |
"domain": false, | |
"grid": false, | |
"labelFontSize": 12, | |
"ticks": false, | |
"tickCount": 5, | |
"titleFontSize": 12, | |
"titleFontWeight": 400, | |
"titleColor": "#605E5C" | |
}, | |
"boxplot": { | |
"size": 6, | |
"outliers": false, | |
"box": { | |
"color": "#eaeaea", | |
"stroke": "#605E5C", | |
"strokeWidth": 1 | |
}, | |
"rule": { "stroke": "black" }, | |
"median": { "color": "#605E5C" } | |
}, | |
"axisY": { "disable": true }, | |
"legend": { "title": null } | |
}, | |
"data": { "name": "dataset" }, | |
"facet": { "row": { "field": "__0__" } }, | |
"transform": [ | |
{ | |
"calculate": "random()", | |
"as": "Jitter" | |
} | |
], | |
"spec": { | |
"resolve": { | |
"scale": { "y": "independent" } | |
}, | |
"height": 44, | |
"width": 355, | |
"layer": [ | |
{ | |
"transform": [{ "density": "__2__" }], | |
"mark": { "type": "area" }, | |
"encoding": { | |
"x": { | |
"field": "value", | |
"type": "quantitative" | |
}, | |
"y": { | |
"field": "density", | |
"type": "quantitative", | |
"scale": { "range": [22, 0] } | |
} | |
} | |
}, | |
{ | |
"mark": { | |
"type": "boxplot" | |
} | |
}, | |
{ | |
"mark": { | |
"type": "point", | |
"tooltip": true | |
}, | |
"encoding": { | |
"y": { | |
"field": "Jitter", | |
"type": "quantitative", | |
"scale": { "range": [44, 28] } | |
} | |
} | |
} | |
], | |
"encoding": { | |
"x": { | |
"field": "__2__", | |
"type": "quantitative", | |
"axis": { | |
"title": "", | |
"labelExpr": "datum.label + (datum.value === 20 ? ' °C' : '')" | |
} | |
} | |
} | |
} | |
} |
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