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x/vega_lite/examples/compiled/boxplot_1D_horizontal_explicit.vg.json

A concise grammar of interactive graphics, built on Vega.
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{ "$schema": "https://vega.github.io/schema/vega/v5.json", "description": "A horizontal box plot showing median and lower and upper quartiles of the distribution of body mass of penguins.", "background": "white", "padding": 5, "width": 200, "height": 20, "style": "cell", "data": [ { "name": "source_0", "url": "data/penguins.json", "format": {"type": "json"} }, { "name": "data_0", "source": "source_0", "transform": [ { "type": "joinaggregate", "as": ["lower_box_Body Mass (g)", "upper_box_Body Mass (g)"], "ops": ["q1", "q3"], "fields": ["Body Mass (g)", "Body Mass (g)"], "groupby": [] } ] }, { "name": "data_1", "source": "data_0", "transform": [ { "type": "filter", "expr": "(datum[\"Body Mass (g)\"] < datum[\"lower_box_Body Mass (g)\"] - 1.5 * (datum[\"upper_box_Body Mass (g)\"] - datum[\"lower_box_Body Mass (g)\"])) || (datum[\"Body Mass (g)\"] > datum[\"upper_box_Body Mass (g)\"] + 1.5 * (datum[\"upper_box_Body Mass (g)\"] - datum[\"lower_box_Body Mass (g)\"]))" }, { "type": "filter", "expr": "isValid(datum[\"Body Mass (g)\"]) && isFinite(+datum[\"Body Mass (g)\"])" } ] }, { "name": "data_2", "source": "data_0", "transform": [ { "type": "filter", "expr": "(datum[\"lower_box_Body Mass (g)\"] - 1.5 * (datum[\"upper_box_Body Mass (g)\"] - datum[\"lower_box_Body Mass (g)\"]) <= datum[\"Body Mass (g)\"]) && (datum[\"Body Mass (g)\"] <= datum[\"upper_box_Body Mass (g)\"] + 1.5 * (datum[\"upper_box_Body Mass (g)\"] - datum[\"lower_box_Body Mass (g)\"]))" }, { "type": "aggregate", "groupby": [], "ops": ["min", "max", "min", "max"], "fields": [ "Body Mass (g)", "Body Mass (g)", "lower_box_Body Mass (g)", "upper_box_Body Mass (g)" ], "as": [ "lower_whisker_Body Mass (g)", "upper_whisker_Body Mass (g)", "lower_box_Body Mass (g)", "upper_box_Body Mass (g)" ] } ] }, { "name": "data_3", "source": "source_0", "transform": [ { "type": "aggregate", "groupby": [], "ops": ["q1", "q3", "median", "min", "max"], "fields": [ "Body Mass (g)", "Body Mass (g)", "Body Mass (g)", "Body Mass (g)", "Body Mass (g)" ], "as": [ "lower_box_Body Mass (g)", "upper_box_Body Mass (g)", "mid_box_Body Mass (g)", "min_Body Mass (g)", "max_Body Mass (g)" ] } ] } ], "marks": [ { "name": "layer_0_layer_0_marks", "type": "symbol", "style": ["point", "boxplot-outliers"], "from": {"data": "data_1"}, "encode": { "update": { "opacity": {"value": 0.7}, "fill": {"value": "transparent"}, "stroke": {"value": "#4c78a8"}, "ariaRoleDescription": {"value": "point"}, "description": { "signal": "\"Body Mass (g): \" + (format(datum[\"Body Mass (g)\"], \"\"))" }, "x": [ { "test": "!isValid(datum[\"Body Mass (g)\"]) || !isFinite(+datum[\"Body Mass (g)\"])", "value": 0 }, {"scale": "x", "field": "Body Mass (g)"} ], "y": {"signal": "height", "mult": 0.5} } } }, { "name": "layer_0_layer_1_layer_0_marks", "type": "rule", "style": ["rule", "boxplot-rule"], "aria": false, "from": {"data": "data_2"}, "encode": { "update": { "stroke": {"value": "black"}, "tooltip": { "signal": "{\"Upper Whisker of Body Mass (g)\": format(datum[\"upper_whisker_Body Mass (g)\"], \"\"), \"Lower Whisker of Body Mass (g)\": format(datum[\"lower_whisker_Body Mass (g)\"], \"\")}" }, "x": {"scale": "x", "field": "lower_whisker_Body Mass (g)"}, "x2": {"scale": "x", "field": "lower_box_Body Mass (g)"}, "y": {"signal": "height", "mult": 0.5} } } }, { "name": "layer_0_layer_1_layer_1_marks", "type": "rule", "style": ["rule", "boxplot-rule"], "aria": false, "from": {"data": "data_2"}, "encode": { "update": { "stroke": {"value": "black"}, "tooltip": { "signal": "{\"Upper Whisker of Body Mass (g)\": format(datum[\"upper_whisker_Body Mass (g)\"], \"\"), \"Lower Whisker of Body Mass (g)\": format(datum[\"lower_whisker_Body Mass (g)\"], \"\")}" }, "x": {"scale": "x", "field": "upper_box_Body Mass (g)"}, "x2": {"scale": "x", "field": "upper_whisker_Body Mass (g)"}, "y": {"signal": "height", "mult": 0.5} } } }, { "name": "layer_1_layer_0_marks", "type": "rect", "style": ["bar", "boxplot-box"], "from": {"data": "data_3"}, "encode": { "update": { "ariaRoleDescription": {"value": "box"}, "fill": {"value": "#4c78a8"}, "tooltip": { "signal": "{\"Max of Body Mass (g)\": format(datum[\"max_Body Mass (g)\"], \"\"), \"Q3 of Body Mass (g)\": format(datum[\"upper_box_Body Mass (g)\"], \"\"), \"Median of Body Mass (g)\": format(datum[\"mid_box_Body Mass (g)\"], \"\"), \"Q1 of Body Mass (g)\": format(datum[\"lower_box_Body Mass (g)\"], \"\"), \"Min of Body Mass (g)\": format(datum[\"min_Body Mass (g)\"], \"\")}" }, "description": { "signal": "\"Body Mass (g): \" + (format(datum[\"lower_box_Body Mass (g)\"], \"\")) + \"; upper_box_Body Mass (g): \" + (format(datum[\"upper_box_Body Mass (g)\"], \"\")) + \"; Max of Body Mass (g): \" + (format(datum[\"max_Body Mass (g)\"], \"\")) + \"; Q3 of Body Mass (g): \" + (format(datum[\"upper_box_Body Mass (g)\"], \"\")) + \"; Median of Body Mass (g): \" + (format(datum[\"mid_box_Body Mass (g)\"], \"\")) + \"; Q1 of Body Mass (g): \" + (format(datum[\"lower_box_Body Mass (g)\"], \"\")) + \"; Min of Body Mass (g): \" + (format(datum[\"min_Body Mass (g)\"], \"\"))" }, "x": {"scale": "x", "field": "lower_box_Body Mass (g)"}, "x2": {"scale": "x", "field": "upper_box_Body Mass (g)"}, "yc": {"signal": "height", "mult": 0.5}, "height": {"value": 14} } } }, { "name": "layer_1_layer_1_marks", "type": "rect", "style": ["tick", "boxplot-median"], "aria": false, "from": {"data": "data_3"}, "encode": { "update": { "opacity": {"value": 0.7}, "fill": {"value": "white"}, "tooltip": { "signal": "{\"Max of Body Mass (g)\": format(datum[\"max_Body Mass (g)\"], \"\"), \"Q3 of Body Mass (g)\": format(datum[\"upper_box_Body Mass (g)\"], \"\"), \"Median of Body Mass (g)\": format(datum[\"mid_box_Body Mass (g)\"], \"\"), \"Q1 of Body Mass (g)\": format(datum[\"lower_box_Body Mass (g)\"], \"\"), \"Min of Body Mass (g)\": format(datum[\"min_Body Mass (g)\"], \"\")}" }, "xc": {"scale": "x", "field": "mid_box_Body Mass (g)"}, "yc": {"signal": "height", "mult": 0.5}, "height": {"value": 14}, "width": {"value": 1} } } } ], "scales": [ { "name": "x", "type": "linear", "domain": { "fields": [ {"data": "data_1", "field": "Body Mass (g)"}, {"data": "data_2", "field": "lower_whisker_Body Mass (g)"}, {"data": "data_2", "field": "lower_box_Body Mass (g)"}, {"data": "data_2", "field": "upper_box_Body Mass (g)"}, {"data": "data_2", "field": "upper_whisker_Body Mass (g)"}, {"data": "data_3", "field": "lower_box_Body Mass (g)"}, {"data": "data_3", "field": "upper_box_Body Mass (g)"}, {"data": "data_3", "field": "mid_box_Body Mass (g)"} ] }, "range": [0, {"signal": "width"}], "zero": false, "nice": true } ], "axes": [ { "scale": "x", "orient": "bottom", "grid": true, "tickCount": {"signal": "ceil(width/40)"}, "domain": false, "labels": false, "aria": false, "maxExtent": 0, "minExtent": 0, "ticks": false, "zindex": 0 }, { "scale": "x", "orient": "bottom", "grid": false, "title": "Body Mass (g)", "labelFlush": true, "labelOverlap": true, "tickCount": {"signal": "ceil(width/40)"}, "zindex": 0 } ]}