هذه مجموعة من الأمثلة على استخدام VegaChart. يمكنك العثور على المزيد من أمثلة Vega وأمثلة Vega-Lite التي يمكن استخدامها مع VegaChart.
أمثلة على VegaChart مع Vega
مثال على خريطة التمثيل اللوني
يمكن أن يرسم VegaChart خريطة تمثيل لوني باستخدام علامات rect بسيطة لكل خلية.
(المثال الأصلي)
يتم تحميل بيانات درجة الحرارة في هذا المثال من ملف CSV، باستخدام مواصفات "البيانات" التالية.
"data": [
{
"name": "temperature",
"url": "https://vega.github.io/editor/data/seattle-temps.csv"
...
}
]
<html>
<head>
<script src='https://www.gstatic.com/charts/loader.js'></script>
<script>
google.charts.load('upcoming', {'packages': ['vegachart']}).then(drawChart);
function drawChart() {
// A DataTable is required, but it can be empty.
const dataTable = new google.visualization.DataTable();
const options = {
'vega': {
"$schema": "https://vega.github.io/schema/vega/v5.json",
"width": 500,
"height": 500,
"padding": 5,
"title": {
"text": "Seattle Annual Temperatures",
"anchor": "middle",
"fontSize": 16,
"frame": "group",
"offset": 4
},
"data": [
{
"name": "temperature",
"url": "https://vega.github.io/vega/data/seattle-weather-hourly-normals.csv",
"format": {"type": "csv", "parse": {"temperature": "number", "date": "date"}},
"transform": [
{
"type": "formula", "as": "hour",
"expr": "hours(datum.date)"
},
{
"type": "formula", "as": "day",
"expr": "datetime(year(datum.date), month(datum.date), date(datum.date))"
}
]
}
],
"scales": [
{
"name": "x",
"type": "time",
"domain": {"data": "temperature", "field": "day"},
"range": "width"
},
{
"name": "y",
"type": "band",
"domain": [
6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23,
0, 1, 2, 3, 4, 5
],
"range": "height"
},
{
"name": "color",
"type": "linear",
"range": {"scheme": "redyellowblue"},
"domain": {"data": "temperature", "field": "temperature"},
"reverse": true,
"zero": false, "nice": true
}
],
"axes": [
{"orient": "bottom", "scale": "x", "domain": false, "title": "Month", "format": "%b"},
{
"orient": "left", "scale": "y", "domain": false, "title": "Hour",
"encode": {
"labels": {
"update": {
"text": {
"signal": "datum.value === 0 ? 'Midnight' : datum.value === 12 ? 'Noon' : datum.value < 12 ? datum.value + ':00 am' : (datum.value - 12) + ':00 pm'"
}
}
}
}
}
],
"legends": [
{
"fill": "color",
"type": "gradient",
"title": "Avg. Temp (°F)",
"titleFontSize": 12,
"titlePadding": 4,
"gradientLength": {"signal": "height - 16"}
}
],
"marks": [
{
"type": "rect",
"from": {"data": "temperature"},
"encode": {
"enter": {
"x": {"scale": "x", "field": "day"},
"y": {"scale": "y", "field": "hour"},
"width": {"value": 5},
"height": {"scale": "y", "band": 1},
"tooltip": {
"signal":
"timeFormat(datum.date, '%b %d %I:00 %p') + ': ' + datum.temperature + '°'"
}
},
"update": {
"fill": {"scale": "color", "field": "temperature"}
}
}
}
]
}
};
const chart = new google.visualization.VegaChart(document.getElementById('chart-div'));
chart.draw(dataTable, options);
}
</script>
</head>
<body>
<div id="chart-div" style="width: 500px; height: 500px;"></div>
</body>
</html>
مثال على تحديد البركان
يمكن لـ VegaChart رسم مخطط محيطي بركاني باستخدام تحويل icocontour.
(المثال الأصلي)
يتم تحميل بيانات البركان في هذا المثال من ملف json، باستخدام مواصفات "البيانات" التالية.
"data": [
{
"name": "volcano",
"url": "https://vega.github.io/editor/data/volcano.json"
}
]
<html>
<head>
<script src='https://www.gstatic.com/charts/loader.js'></script>
<script>
google.charts.load('upcoming', {'packages': ['vegachart']}).then(drawChart);
function drawChart() {
const dataTable = new google.visualization.DataTable();
const options = {
'vega': {
"$schema": "https://vega.github.io/schema/vega/v5.json",
"width": 600,
"autosize": "none",
"signals": [
{
"name": "grid",
"init": "data('volcano')[0]"
},
{
"name": "height",
"update": "round(grid.height * width / grid.width)"
},
{
"name": "smooth", "value": true,
"bind": {"input": "radio", "options": [true, false]}
}
],
"data": [
{
"name": "volcano",
"url": "https://vega.github.io/editor/data/volcano.json"
},
{
"name": "contours",
"source": "volcano",
"transform": [
{
"type": "isocontour",
"scale": {"expr": "width / datum.width"},
"smooth": {"signal": "smooth"},
"thresholds": {"signal": "sequence(90, 195, 5)"}
}
]
}
],
"scales": [
{
"name": "color",
"type": "linear",
"domain": [90, 190],
"range": {"scheme": "blueorange"}
}
],
"marks": [
{
"type": "path",
"from": {"data": "contours"},
"encode": {
"enter": {
"stroke": {"value": "#ccc"},
"strokeWidth": {"value": 1},
"fill": {"scale": "color", "field": "contour.value"}
}
},
"transform": [
{
"type": "geopath",
"field": "datum.contour"
}
]
}
]
}
};
const chart = new google.visualization.VegaChart(document.getElementById('chart-div'));
chart.draw(dataTable, options);
}
</script>
</head>
<body>
<div id="chart-div" style="width: 500px; height: 500px;"></div>
</body>
</html>
مثال BeeSwarm
يمكن لـ VegaChart رسم مخطط BeeSwarm باستخدام تحويل force.
(المثال الأصلي)
<html>
<head>
<script src='https://www.gstatic.com/charts/loader.js'></script>
<script>
google.charts.load('upcoming', {'packages': ['vegachart']}).then(drawChart);
function drawChart() {
const dataTable = new google.visualization.DataTable();
const options = {
'vega': {
"$schema": "https://vega.github.io/schema/vega/v5.json",
"width": 600,
"height": 100,
"padding": {"left": 5, "right": 5, "top": 0, "bottom": 20},
"autosize": "none",
"signals": [
{ "name": "cx", "update": "width / 2" },
{ "name": "cy", "update": "height / 2" },
{ "name": "radius", "value": 8, "bind": {"input": "range", "min": 2, "max": 15, "step": 1} },
{ "name": "collide", "value": 1, "bind": {"input": "range", "min": 1, "max": 10, "step": 1} },
{ "name": "gravityX", "value": 0.2, "bind": {"input": "range", "min": 0, "max": 1} },
{ "name": "gravityY", "value": 0.1, "bind": {"input": "range", "min": 0, "max": 1} },
{ "name": "static", "value": true, "bind": {"input": "checkbox"} }
],
"data": [
{
"name": "people",
"url": "https://vega.github.io/editor/data/miserables.json",
"format": {"type": "json", "property": "nodes"}
}
],
"scales": [
{
"name": "xscale",
"type": "band",
"domain": {
"data": "people",
"field": "group",
"sort": true
},
"range": "width"
},
{
"name": "color",
"type": "ordinal",
"domain": {"data": "people", "field": "group"},
"range": {"scheme": "category20c"}
}
],
"axes": [
{ "orient": "bottom", "scale": "xscale" }
],
"marks": [
{
"name": "nodes",
"type": "symbol",
"from": {"data": "people"},
"encode": {
"enter": {
"fill": {"scale": "color", "field": "group"},
"xfocus": {"scale": "xscale", "field": "group", "band": 0.5},
"yfocus": {"signal": "cy"}
},
"update": {
"size": {"signal": "pow(2 * radius, 2)"},
"stroke": {"value": "white"},
"strokeWidth": {"value": 1},
"zindex": {"value": 0}
},
"hover": {
"stroke": {"value": "purple"},
"strokeWidth": {"value": 3},
"zindex": {"value": 1}
}
},
"transform": [
{
"type": "force",
"iterations": 300,
"static": {"signal": "static"},
"forces": [
{"force": "collide", "iterations": {"signal": "collide"}, "radius": {"signal": "radius"}},
{"force": "x", "x": "xfocus", "strength": {"signal": "gravityX"}},
{"force": "y", "y": "yfocus", "strength": {"signal": "gravityY"}}
]
}
]
}
]
}
};
const chart = new google.visualization.VegaChart(document.getElementById('chart-div'));
chart.draw(dataTable, options);
}
</script>
</head>
<body>
<div id="chart-div" style="width: 700px; height: 250px;"></div>
</body>
</html>
مثال على الرسم البياني النسيجي
يمكن استخدام VegaChart لرسم ثلاثة مخططات رادارية صغيرة. (المثال الأصلي لرسم بياني نسيجي مشابه)
<html>
<head>
<title>Radar Chart Small Multiples</title>
<script src='https://www.gstatic.com/charts/loader.js'></script>
<script>
google.charts.load('upcoming', {'packages': ['vegachart']}).then(loadCharts);
const lasagna = [
["Protein",0.1308,"Lasagna, cheese, frozen, prepared"],
["Carbohydrates",0.05032727272727273,"Lasagna, cheese, frozen, prepared"],
["Vitamin C",0.228,"Lasagna, cheese, frozen, prepared"],
["Calcium",0.08538461538461538,"Lasagna, cheese, frozen, prepared"],
["Zinc",0.11375,"Lasagna, cheese, frozen, prepared"],
["Sodium",0.18933333333333333,"Lasagna, cheese, frozen, prepared"]
];
const pork = [
["Protein",0.2638,"Pulled pork in barbecue sauce"],
["Carbohydrates",0.06814545454545454,"Pulled pork in barbecue sauce"],
["Vitamin C",0.002666666666666667,"Pulled pork in barbecue sauce"],
["Calcium",0.033846153846153845,"Pulled pork in barbecue sauce"],
["Zinc",0.23125,"Pulled pork in barbecue sauce"],
["Sodium",0.444,"Pulled pork in barbecue sauce"]
];
const melon = [
["Protein",0.0168,"Melons, cantaloupe, raw"],
["Carbohydrates",0.029672727272727274,"Melons, cantaloupe, raw"],
["Vitamin C",0.4893333333333334,"Melons, cantaloupe, raw"],
["Calcium",0.006923076923076923,"Melons, cantaloupe, raw"],
["Zinc",0.0225,"Melons, cantaloupe, raw"],
["Sodium",0.010666666666666666,"Melons, cantaloupe, raw"]
];
function loadCharts() {
addChart(lasagna[0][2], lasagna, "#B82E2E");
addChart(pork[0][2], pork, "#6633CC");
addChart(melon[0][2], melon, "#109618");
};
function addChart(title, data, color) {
const dataTable = new google.visualization.DataTable();
dataTable.addColumn({type: 'string', 'id': 'key'});
dataTable.addColumn({type: 'number', 'id': 'value'});
dataTable.addColumn({type: 'string', 'id': 'category'});
dataTable.addRows(data);
const options = {
'vega': {
"$schema": "https://vega.github.io/schema/vega/v5.json",
"width": 250,
"height": 300,
"autosize": "none",
"title": {
"text": title,
"anchor": "middle",
"fontSize": 14,
"dy": -8,
"dx": {"signal": "-width/4"},
"subtitle": "RDI per 100g"
},
"signals": [
{"name": "radius", "update": "90"}
],
"data": [
{
"name": "table",
"source": "datatable",
},
{
"name": "keys",
"source": "table",
"transform": [
{
"type": "aggregate",
"groupby": ["key"]
}
]
}
],
"scales": [
{
"name": "angular",
"type": "point",
"range": {"signal": "[-PI, PI]"},
"padding": 0.5,
"domain": {"data": "table", "field": "key"}
},
{
"name": "radial",
"type": "linear",
"range": {"signal": "[0, radius]"},
"zero": true,
"nice": false,
"domain": [0,0.5],
}
],
"encode": {
"enter": {
"x": {"signal": "width/2"},
"y": {"signal": "height/2 + 20"}
}
},
"marks": [
{
"type": "group",
"name": "categories",
"zindex": 1,
"from": {
"facet": {"data": "table", "name": "facet", "groupby": ["category"]}
},
"marks": [
{
"type": "line",
"name": "category-line",
"from": {"data": "facet"},
"encode": {
"enter": {
"interpolate": {"value": "linear-closed"},
"x": {"signal": "scale('radial', datum.value) * cos(scale('angular', datum.key))"},
"y": {"signal": "scale('radial', datum.value) * sin(scale('angular', datum.key))"},
"stroke": {"value": color},
"strokeWidth": {"value": 1.5},
"fill": {"value": color},
"fillOpacity": {"value": 0.1}
}
}
},
{
"type": "text",
"name": "value-text",
"from": {"data": "category-line"},
"encode": {
"enter": {
"x": {"signal": "datum.x + 14 * cos(scale('angular', datum.datum.key))"},
"y": {"signal": "datum.y + 14 * sin(scale('angular', datum.datum.key))"},
"text": {"signal": "format(datum.datum.value,'.1%')"},
"opacity": {"signal": "datum.datum.value > 0.01 ? 1 : 0"},
"align": {"value": "center"},
"baseline": {"value": "middle"},
"fontWeight": {"value": "bold"},
"fill": {"value": color},
}
}
}
]
},
{
"type": "rule",
"name": "radial-grid",
"from": {"data": "keys"},
"zindex": 0,
"encode": {
"enter": {
"x": {"value": 0},
"y": {"value": 0},
"x2": {"signal": "radius * cos(scale('angular', datum.key))"},
"y2": {"signal": "radius * sin(scale('angular', datum.key))"},
"stroke": {"value": "lightgray"},
"strokeWidth": {"value": 1}
}
}
},
{
"type": "text",
"name": "key-label",
"from": {"data": "keys"},
"zindex": 1,
"encode": {
"enter": {
"x": {"signal": "(radius + 11) * cos(scale('angular', datum.key))"},
"y": [
{
"test": "sin(scale('angular', datum.key)) > 0",
"signal": "5 + (radius + 11) * sin(scale('angular', datum.key))"
},
{
"test": "sin(scale('angular', datum.key)) < 0",
"signal": "-5 + (radius + 11) * sin(scale('angular', datum.key))"
},
{
"signal": "(radius + 11) * sin(scale('angular', datum.key))"
}
],
"text": {"field": "key"},
"align":
{
"value": "center"
},
"baseline": [
{
"test": "scale('angular', datum.key) > 0", "value": "top"
},
{
"test": "scale('angular', datum.key) == 0", "value": "middle"
},
{
"value": "bottom"
}
],
"fill": {"value": "black"},
"fontSize": {"value": 12}
}
}
},
{
"type": "line",
"name": "twenty-line",
"from": {"data": "keys"},
"encode": {
"enter": {
"interpolate": {"value": "linear-closed"},
"x": {"signal": "0.2 * radius * cos(scale('angular', datum.key))"},
"y": {"signal": "0.2 * radius * sin(scale('angular', datum.key))"},
"stroke": {"value": "lightgray"},
"strokeWidth": {"value": 1}
}
}
},
{
"type": "line",
"name": "fourty-line",
"from": {"data": "keys"},
"encode": {
"enter": {
"interpolate": {"value": "linear-closed"},
"x": {"signal": "0.4 * radius * cos(scale('angular', datum.key))"},
"y": {"signal": "0.4 * radius * sin(scale('angular', datum.key))"},
"stroke": {"value": "lightgray"},
"strokeWidth": {"value": 1}
}
}
},
{
"type": "line",
"name": "sixty-line",
"from": {"data": "keys"},
"encode": {
"enter": {
"interpolate": {"value": "linear-closed"},
"x": {"signal": "0.6 * radius * cos(scale('angular', datum.key))"},
"y": {"signal": "0.6 * radius * sin(scale('angular', datum.key))"},
"stroke": {"value": "lightgray"},
"strokeWidth": {"value": 1}
}
}
},
{
"type": "line",
"name": "eighty-line",
"from": {"data": "keys"},
"encode": {
"enter": {
"interpolate": {"value": "linear-closed"},
"x": {"signal": "0.8 * radius * cos(scale('angular', datum.key))"},
"y": {"signal": "0.8 * radius * sin(scale('angular', datum.key))"},
"stroke": {"value": "lightgray"},
"strokeWidth": {"value": 1}
}
}
},
{
"type": "line",
"name": "outer-line",
"from": {"data": "radial-grid"},
"encode": {
"enter": {
"interpolate": {"value": "linear-closed"},
"x": {"field": "x2"},
"y": {"field": "y2"},
"stroke": {"value": "lightgray"},
"strokeWidth": {"value": 1}
}
}
}
]
}
};
const elem = document.createElement("div");
elem.setAttribute("style", "display: inline-block; width: 250px; height: 300px; padding: 20px;");
const chart = new google.visualization.VegaChart(elem);
chart.draw(dataTable, options);
document.getElementById("chart-area").appendChild(elem);
}
</script>
</head>
<body>
<div id="chart-area"></div>
</body>
</html>
أمثلة على VegaChart مع Vega-Lite
مثال على خريطة التمثيل اللوني مع المدرّجات التكرارية الهامشية
يمكن لـ VegaChart رسم خريطة تمثيل لوني باستخدام المدرجات التكرارية على طول كل محور. (المثال الأصلي: المدرجات التكرارية الهامشية)
<html>
<head>
<script src='https://www.gstatic.com/charts/loader.js'></script>
<script>
google.charts.load('upcoming', {'packages': ['vegachart']}).then(drawChart);
function drawChart() {
// A DataTable is required, but it can be empty.
const dataTable = new google.visualization.DataTable();
const options = {
'vegaLite': {
"$schema": "https://vega.github.io/schema/vega-lite/v4.json",
"data": {"url": "https://vega.github.io/vega/data/movies.json"},
"spacing": 15,
"bounds": "flush",
"vconcat": [{
"mark": "bar",
"height": 60,
"encoding": {
"x": {
"bin": true,
"field": "IMDB Rating",
"axis": null
},
"y": {
"aggregate": "count",
"scale": {
"domain": [0,1000]
},
"title": ""
}
}
}, {
"spacing": 15,
"bounds": "flush",
"hconcat": [{
"mark": "rect",
"encoding": {
"x": {"bin": true, "field": "IMDB Rating"},
"y": {"bin": true, "field": "Rotten Tomatoes Rating"},
"color": {"aggregate": "count"}
}
}, {
"mark": "bar",
"width": 60,
"encoding": {
"y": {
"bin": true,
"field": "Rotten Tomatoes Rating",
"axis": null
},
"x": {
"aggregate": "count",
"scale": {"domain": [0,1000]},
"title": ""
}
}
}]
}],
"config": {
"view": {
"stroke": "transparent"
}
}
}
};
const chart = new google.visualization.VegaChart(document.getElementById('chart-div'));
chart.draw(dataTable, options);
}
</script>
</head>
<body>
<div id="chart-div"></div>
</body>
</html>
مثال على "منشئ التسلسل"
يمكن لـ VegaChart إنشاء البيانات باستخدام منشئ تسلسل. (المثال الأصلي: رسم منحنيات جيب التمام وجيب التمام باستخدام منشئ التسلسل)
<html>
<head>
<script src='https://www.gstatic.com/charts/loader.js'></script>
<script>
google.charts.load('upcoming', {'packages': ['vegachart']}).then(drawChart);
function drawChart() {
// A DataTable is required, but it can be empty.
const dataTable = new google.visualization.DataTable();
const options = {
'vegaLite': {
"$schema": "https://vega.github.io/schema/vega-lite/v4.json",
"description": "Plots two functions using a generated sequence.",
"width": 300,
"height": 150,
"data": {
"sequence": {
"start": 0,
"stop": 12.7,
"step": 0.1,
"as": "x"
}
},
"transform": [
{
"calculate": "sin(datum.x)",
"as": "sin(x)"
},
{
"calculate": "cos(datum.x)",
"as": "cos(x)"
},
{
"fold": ["sin(x)", "cos(x)"]
}
],
"mark": "line",
"encoding": {
"x": {
"type": "quantitative",
"field": "x"
},
"y": {
"field": "value",
"type": "quantitative"
},
"color": {
"field": "key",
"type": "nominal",
"title": null
}
}
}
};
const chart = new google.visualization.VegaChart(document.getElementById('chart-div'));
chart.draw(dataTable, options);
}
</script>
</head>
<body>
<div id="chart-div" style="width: 500px; height: 300px;"></div>
</body>
</html>
مثال على المخطط الشعاعي
يمكن أن يستخدم VegaChart الامتداد الزاوي والنصفي لنقل أبعاد متعددة للبيانات في مخطط شعاعي. (المثال الأصلي: المخطط الشعاعي)
<html>
<head>
<script src='https://www.gstatic.com/charts/loader.js'></script>
<script>
google.charts.load('upcoming', {'packages': ['vegachart']}).then(drawChart);
function drawChart() {
// A DataTable is required, but it can be empty.
const dataTable = new google.visualization.DataTable();
const options = {
'vegaLite': {
"$schema": "https://vega.github.io/schema/vega-lite/v4.json",
"description": "A simple radial chart with embedded data.",
"data": {
"values": [12, 23, 47, 6, 52, 19]
},
"layer": [
{
"mark": {"type": "arc", "innerRadius": 20, "stroke": "#fff"}
},
{
"mark": {"type": "text", "radiusOffset": 10},
"encoding": {
"text": {"field": "data", "type": "quantitative"}
}
}],
"encoding": {
"theta": {"field": "data", "type": "quantitative", "stack": true},
"radius": {"field": "data", "scale": {"type": "sqrt", "zero": true, "rangeMin": 20}},
"color": {"field": "data", "type": "nominal", "legend": null}
},
"view": {"stroke": null}
}
};
const chart = new google.visualization.VegaChart(document.getElementById('chart-div'));
chart.draw(dataTable, options);
}
</script>
</head>
<body>
<div id="chart-div" style="width: 500px; height: 500px;"></div>
</body>
</html>