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271 lines
8.0 KiB
271 lines
8.0 KiB
var chart1=c3.generate( { |
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bindto:"#lineGraph", data: { |
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columns:[["data1", 14, 28, 31, 49, 57, 59, 52, 48, 55, 58, 62, 60, 62, 58, 55, 61, 70, 80, 77, 78, 82, 98, 99, 121, 136, 115, 112, 120, 103, 117, 121, 126], ["data2", 3, 16, 19, 24, 27, 32, 38, 36, 32, 36, 40, 48, 41, 44, 46, 53, 58, 62, 65, 61, 64, 62, 59, 63, 87, 92, 72, 81, 75, 80, 97, 97]], names: { |
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data1: "onGoing", data2: "Completed" |
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} |
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, colors: { |
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data1: "#f0b518", data2: "#3a86c8" |
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} |
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} |
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} |
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), |
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chart2=c3.generate( { |
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bindto:"#splineGraph", data: { |
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columns:[["data1", 24, 28, 31, 49, 57, 59, 52, 48, 55, 58, 62, 60, 62, 58, 55, 61, 70, 80, 77, 78, 82, 98, 99, 105, 102, 95, 92, 100, 103, 117, 121, 126], ["data2", 15, 16, 19, 24, 27, 32, 38, 36, 32, 36, 40, 48, 41, 44, 46, 53, 58, 62, 65, 61, 64, 62, 59, 63, 67, 69, 72, 71, 75, 80, 65, 71]], types: { |
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data1: "spline", data2: "area-spline" |
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} |
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, names: { |
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data1: "Likes", data2: "Clicks" |
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} |
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, colors: { |
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data1: "#3a86c8", data2: "#c282e0" |
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} |
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} |
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} |
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), |
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chart3=c3.generate( { |
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bindto:"#areaSplineGraph", data: { |
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columns:[["data1", 24, 49, 52, 48, 62, 60, 62, 70, 80, 82, 95, 92, 100, 103, 117, 121, 136], ["data2", 15, 27, 39, 32, 40, 48, 46, 57, 64, 62, 59, 71, 75, 80, 65, 71, 102]], types: { |
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data1: "area-spline", data2: "area-spline" |
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} |
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, names: { |
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data1: "Male", data2: "Female" |
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} |
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, colors: { |
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data1: "#F782AA", data2: "#3a86c8" |
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} |
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} |
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} |
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), |
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chart4=c3.generate( { |
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bindto:"#stepGraph", data: { |
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columns:[["data1", 52, 59, 78, 102, 95, 92, 100, 48, 55, 58, 62, 60, 24, 28, 31, 49, 57, 103, 117, 121, 126], ["data2", 27, 32, 38, 36, 32, 36, 40, 15, 16, 82, 81, 85, 90, 95, 71, 19, 24, 44, 59, 73, 77, 89]], types: { |
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data1: "step", data2: "area-step" |
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} |
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, names: { |
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data1: "Twitter", data2: "LinkedIn" |
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} |
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, colors: { |
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data1: "#3a86c8", data2: "#f0b518" |
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} |
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} |
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} |
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), |
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chart5=c3.generate( { |
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bindto:"#barAreaGraph", data: { |
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columns:[["data1", 24, 28, 31, 49, 57, 59, 52, 48, 55, 58, 62, 60, 62, 58, 55, 61, 70, 80, 77, 78, 82, 98, 99, 105, 102, 95, 92, 100, 103, 117, 121, 126], ["data2", 15, 16, 19, 24, 27, 32, 38, 36, 32, 36, 40, 48, 41, 44, 46, 53, 58, 62, 65, 61, 64, 62, 59, 63, 67, 69, 72, 71, 75, 80, 65, 71]], types: { |
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data1: "bar", data2: "area" |
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} |
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, names: { |
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data1: "Twitter", data2: "LinkedIn" |
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} |
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, colors: { |
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data1: "#E9BB27", data2: "#3a86c8" |
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} |
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} |
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} |
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), |
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chart6=c3.generate( { |
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bindto:"#barGraph", data: { |
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columns:[["data1", 15, 58, 62, 87, 32, 58, 55, 21, 20, 30, 98, 10, 22, 98, 99, 105, 82, 57, 121, 78], ["data2", 21, 26, 30, 38, 11, 24, 36, 53, 58, 62, 65, 61, 64, 32, 45, 71, 38, 23, 65, 11]], type:"bar", names: { |
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data1: "Referrals", data2: "Signups" |
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} |
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, colors: { |
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data1: "#fee074", data2: "#66c0dc" |
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} |
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} |
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} |
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), |
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chart7=c3.generate( { |
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bindto:"#stackedBarGraph", data: { |
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columns:[["data1", 30, 90, 200, 400, 590, 250, 330, 120, 480, 560, 220, 300, 240, 470, 680, 550, 250, 330, 120, 90]], type:"bar", names: { |
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data1: "Crypto Balance" |
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} |
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, colors: { |
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data1: "#1d73bd" |
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} |
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, groups:[["data1"]] |
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} |
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, grid: { |
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x: { |
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show: !0 |
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} |
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, y: { |
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show: !0 |
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} |
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} |
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} |
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), |
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chart8=c3.generate( { |
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bindto:"#scatterPlot", data: { |
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xs: { |
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Male: "male_x", Female: "female_x" |
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} |
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, columns:[["male_x", 3.5, 3, 3.2, 3.1, 3.6, 3.9, 3.4, 3.4, 2.9, 3.1, 3.7, 3.4, 3, 3, 4, 4.4, 3.9, 3.5, 3.8, 3.8, 3.4, 3.7, 3.6, 3.3, 3.4, 3, 3.4, 3.5, 3.4, 3.2, 3.1, 3.4, 4.1, 4.2, 3.1, 3.2, 3.5, 3.6, 3, 3.4, 3.5, 2.3, 3.2, 3.5, 3.8, 3, 3.8, 3.2, 3.7, 3.3], ["female_x", 3.2, 3.2, 3.1, 2.3, 2.8, 2.8, 3.3, 2.4, 2.9, 2.7, 2, 3, 2.2, 2.9, 2.9, 3.1, 3, 2.7, 2.2, 2.5, 3.2, 2.8, 2.5, 2.8, 2.9, 3, 2.8, 3, 2.9, 2.6, 2.4, 2.4, 2.7, 2.7, 3, 3.4, 3.1, 2.3, 3, 2.5, 2.6, 3, 2.6, 2.3, 2.7, 3, 2.9, 2.9, 2.5, 2.8], ["Male", .2, .2, .2, .2, .2, .4, .3, .2, .2, .1, .2, .2, .1, .1, .2, .4, .4, .3, .3, .3, .2, .4, .2, .5, .2, .2, .4, .2, .2, .2, .2, .4, .1, .2, .2, .2, .2, .1, .2, .2, .3, .3, .2, .6, .4, .3, .2, .2, .2, .2], ["Female", 1.4, 1.5, 1.5, 1.3, 1.5, 1.3, 1.6, 1, 1.3, 1.4, 1, 1.5, 1, 1.4, 1.3, 1.4, 1.5, 1, 1.5, 1.1, 1.8, 1.3, 1.5, 1.2, 1.3, 1.4, 1.4, 1.7, 1.5, 1, 1.1, 1, 1.2, 1.6, 1.5, 1.6, 1.5, 1.3, 1.3, 1.3, 1.2, 1.4, 1.2, 1, 1.3, 1.2, 1.3, 1.3, 1.1, 1.3]], type:"scatter", colors: { |
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Male: "#3a86c8", Female: "#dd5826" |
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} |
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} |
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, axis: { |
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x: { |
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label:"Male Visitors", tick: { |
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fit: !1 |
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} |
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} |
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, y: { |
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label: "Female Visitors" |
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} |
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} |
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} |
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), |
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chart9=c3.generate( { |
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bindto:"#pieChart", data: { |
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columns:[["Likes", 36], ["Shares", 62]], type:"pie", colors: { |
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Likes: "#91c46b", Shares: "#3a86c8" |
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} |
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, onclick:function(a, b) { |
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console.log("onclick", a, b) |
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} |
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, onmouseover:function(a, b) { |
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console.log("onmouseover", a, b) |
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} |
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, onmouseout:function(a, b) { |
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console.log("onmouseout", a, b) |
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} |
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} |
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} |
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), |
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chart10=c3.generate( { |
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bindto:"#donutChart", data: { |
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columns:[["Likes", 32], ["Shares", 87], ["Clicks", 51]], type:"donut", colors: { |
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Likes: "#c282e0", Shares: "#c38fbb", Clicks: "#F782AA" |
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} |
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, onclick:function(a, b) { |
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console.log("onclick", a, b) |
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} |
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, onmouseover:function(a, b) { |
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console.log("onmouseover", a, b) |
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} |
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, onmouseout:function(a, b) { |
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console.log("onmouseout", a, b) |
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} |
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} |
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} |
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), |
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chart11=c3.generate( { |
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bindto:".accountValue", padding: { |
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top: 10, left: 40 |
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} |
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, data: { |
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columns:[["data1", 18, 22, 90, 33, 19, 21, 28, 21, 19, 43, 23, 34, 55, 43, 33, 77, 33, 87, 46, 39, 51, 32, 66, 99, 32, 54, 33, 24, 54, 22, 37, 76, 67, 89, 34, 12, 77, 99, 59, 66, 28, 77, 39, 60, 66, 99, 32, 54, 33, 24, 54, 22, 37, 76, 67, 89, 34, 12, 77, 99, 59, 66, 28, 77, 39, 60]], types: { |
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data1: "area" |
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} |
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, names: { |
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data1: "Account Val" |
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} |
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, colors: { |
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data1: "#c38fbb" |
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} |
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} |
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, axis: { |
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y: { |
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tick: { |
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count: 3 |
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} |
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} |
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} |
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} |
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), |
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chart12=c3.generate( { |
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bindto:"#domestic", data: { |
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columns:[["Domestic", 70], ["International", 120]], type:"pie", colors: { |
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Domestic: "#E24B46", International: "#1d73bd" |
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} |
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} |
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, legend: { |
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show: !1 |
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} |
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, tooltip: { |
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show: !1 |
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} |
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, pie: { |
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label: { |
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show: !1 |
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} |
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} |
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} |
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), |
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chart13=c3.generate( { |
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bindto:"#domain", data: { |
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columns:[["Com", 100], ["Org", 20], ["Net", 15], ["Biz", 10], ["Others", 5]], type:"pie", colors: { |
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Com: "#fa9255", Org: "#fee074", Net: "#47BCC7", Biz: "#F782AA", Others: "#aed048" |
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} |
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} |
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, legend: { |
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show: !1 |
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} |
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, tooltip: { |
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show: !1 |
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} |
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, pie: { |
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label: { |
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show: !1 |
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} |
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} |
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} |
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), |
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chart14=c3.generate( { |
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bindto:"#imgFonts", data: { |
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columns:[["Images", 170], ["Fonts", 50], ["Text", 30]], type:"pie", colors: { |
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Images: "#5c6bc2", Fonts: "#C790E1", Text: "#F782AA" |
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} |
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} |
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, legend: { |
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show: !1 |
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} |
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, tooltip: { |
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show: !1 |
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} |
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, pie: { |
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label: { |
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show: !1 |
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} |
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} |
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} |
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), |
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chart5=c3.generate( { |
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bindto:"#globalLocal", data: { |
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columns:[["data2", 15, 19, 27, 32, 38, 36, 32, 36, 40, 48, 46, 53, 58, 62, 65, 99]], types: { |
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data2: "area-spline" |
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} |
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, names: { |
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data2: "Active Users" |
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} |
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, colors: { |
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data2: "#52bf8a" |
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} |
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} |
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, axis: { |
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x: { |
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show: !1 |
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} |
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, y: { |
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show: !1 |
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} |
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} |
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} |
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);
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