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https://github.com/usmannasir/cyberpanel.git
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292 lines
7.3 KiB
JavaScript
Executable File
292 lines
7.3 KiB
JavaScript
Executable File
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$(function() {
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//Interacting with Data Points example
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var sin = [], cos = [];
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for (var i = 0; i < 354; i += 31) {
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sin.push([i, Math.random(i)]);
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cos.push([i, Math.random(i)]);
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}
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var plot = $.plot($("#data-example-1"),
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[{ data: sin, label: "Today" }, { data: cos, label: "Yesterday" }], {
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series: {
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shadowSize: 0,
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lines: {
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show: true,
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lineWidth: 2
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},
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points: { show: true }
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},
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grid: {
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labelMargin: 10,
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hoverable: true,
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clickable: true,
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borderWidth: 1,
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borderColor: 'rgba(82, 167, 224, 0.06)'
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},
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legend: {
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backgroundColor: '#fff'
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},
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yaxis: { tickColor: 'rgba(0, 0, 0, 0.06)', font: {color: 'rgba(0, 0, 0, 0.4)'}},
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xaxis: { tickColor: 'rgba(0, 0, 0, 0.06)', font: {color: 'rgba(0, 0, 0, 0.4)'}},
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colors: [getUIColor('success'), getUIColor('gray')],
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tooltip: true,
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tooltipOpts: {
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content: "x: %x, y: %y"
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}
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});
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var previousPoint = null;
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$("#data-example-1").bind("plothover", function (event, pos, item) {
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$("#x").text(pos.x.toFixed(2));
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$("#y").text(pos.y.toFixed(2));
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});
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$("#data-example-1").bind("plotclick", function (event, pos, item) {
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if (item) {
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$("#clickdata").text("You clicked point " + item.dataIndex + " in " + item.series.label + ".");
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plot.highlight(item.series, item.datapoint);
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}
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});
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});
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$(function() {
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var d1 = [];
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for (var i = 0; i <= 10; i += 1) {
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d1.push([i, parseInt(Math.random() * 30)]);
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}
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var d2 = [];
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for (var i = 0; i <= 10; i += 1) {
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d2.push([i, parseInt(Math.random() * 30)]);
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}
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var d3 = [];
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for (var i = 0; i <= 10; i += 1) {
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d3.push([i, parseInt(Math.random() * 30)]);
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}
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var d4 = [];
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for (var i = 0; i <= 10; i += 1) {
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d4.push([i, parseInt(Math.random() * 30)]);
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}
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var stack = 0,
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bars = true,
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lines = false,
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steps = false;
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function plotWithOptions() {
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$.plot("#data-example-2", [ d1, d2, d3, d4 ], {
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series: {
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shadowSize: 0,
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stack: stack,
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lines: {
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show: lines,
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lineWidth: 1,
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},
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bars: {
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show: bars,
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lineWidth: 1,
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}
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},
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grid: {
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labelMargin: 10,
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borderWidth: 0
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},
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legend: {
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backgroundColor: '#fff'
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},
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yaxis: { tickColor: 'rgba(0, 0, 0, 0.06)', font: {color: 'rgba(0, 0, 0, 0.4)'}},
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xaxis: { tickColor: 'rgba(0, 0, 0, 0.06)', font: {color: 'rgba(0, 0, 0, 0.4)'}},
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colors: [getUIColor('default'),getUIColor('warning'),getUIColor('danger'),getUIColor('primary')],
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tooltip: true,
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tooltipOpts: {
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content: "x: %x, y: %y"
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}
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});
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}
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plotWithOptions();
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$(".stackControls button").click(function (e) {
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e.preventDefault();
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stack = $(this).text() == "With stacking" ? true : null;
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plotWithOptions();
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});
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$(".graphControls button").click(function (e) {
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e.preventDefault();
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bars = $(this).text().indexOf("Bars") != -1;
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lines = $(this).text().indexOf("Lines") != -1;
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steps = $(this).text().indexOf("steps") != -1;
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plotWithOptions();
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});
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});
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$(function() {
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// We use an inline data source in the example, usually data would
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// be fetched from a server
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var data = [],
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totalPoints = 300;
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function getRandomData() {
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if (data.length > 0)
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data = data.slice(1);
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// Do a random walk
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while (data.length < totalPoints) {
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var prev = data.length > 0 ? data[data.length - 1] : 50,
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y = prev + Math.random() * 10 - 5;
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if (y < 0) {
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y = 0;
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} else if (y > 100) {
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y = 100;
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}
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data.push(y);
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}
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// Zip the generated y values with the x values
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var res = [];
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for (var i = 0; i < data.length; ++i) {
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res.push([i, data[i]])
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}
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return res;
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}
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// Set up the control widget
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var updateInterval = 30;
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var plot = $.plot("#data-example-3", [ getRandomData() ], {
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series: {
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lines: {
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show: true,
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lineWidth: 2,
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fill: 0.5,
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fillColor: { colors: [ { opacity: 0.01 }, { opacity: 0.08 } ] }
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},
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shadowSize: 0 // Drawing is faster without shadows
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},
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grid: {
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labelMargin: 10,
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hoverable: true,
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clickable: true,
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borderWidth: 1,
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borderColor: 'rgba(82, 167, 224, 0.06)'
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},
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yaxis: {
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min: 0,
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max: 150,
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tickColor: 'rgba(0, 0, 0, 0.06)', font: {color: 'rgba(0, 0, 0, 0.4)'}},
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xaxis: { show: false },
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colors: [getUIColor('default'),getUIColor('gray')]
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});
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function update() {
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plot.setData([getRandomData()]);
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// Since the axes don't change, we don't need to call plot.setupGrid()
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plot.draw();
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setTimeout(update, updateInterval);
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}
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update();
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});
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$(function() {
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// Randomly Generated Data
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var dataSet = [
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{label: "Asia", data: 1119630000, color: getUIColor('info') },
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{ label: "Latin America", data: 690950000, color: getUIColor('warning') },
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{ label: "Africa", data: 1012960000, color: getUIColor('danger') },
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{ label: "Oceania", data: 5100000, color: getUIColor('gray') },
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{ label: "Europe", data: 727080000, color: getUIColor('primary') },
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{ label: "North America", data: 344120000, color: getUIColor('success') }
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];
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var data = [],
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series = Math.floor(Math.random() * 5) + 3;
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for (var i = 0; i < series; i++) {
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data[i] = {
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label: "Series" + (i + 1),
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data: Math.floor(Math.random() * 100) + 1
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}
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}
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$.plot('#data-donut-1', dataSet, {
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series: {
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pie: {
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innerRadius: 0.5,
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show: true,
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},
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}
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});
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$.plot('#data-donut-2', dataSet, {
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series: {
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pie: {
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show: true
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},
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},
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tooltip: true,
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tooltipOpts: {
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content: "%p.0%, %s"
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},
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grid: {
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hoverable: true,
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clickable: true
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}
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});
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$.plot('#data-donut-3', dataSet, {
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series: {
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pie: {
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show: true,
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radius: 500,
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label: {
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show: true,
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formatter: labelFormatter,
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threshold: 0.1
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}
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},
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},
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legend: {
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show: false
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}
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});
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function labelFormatter(label, series) {
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return "<div style='font-size:12px; text-align:center; padding:5px; color:white;'>" + label + "<br/>" + Math.round(series.percent) + "%</div>";
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}
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}); |