Your IP : 13.59.53.67
/*chart-employment*/
var chart = c3.generate({
bindto: '#chart-employment', // id of chart wrapper
data: {
columns: [
// each columns data
['data1', 9, 4, 9, 11, 15, 17],
['data2', 7, 17, 13, 17, 25, 28],
['data3', 18, 19, 22, 21, 32, 28]
],
type: 'line', // default type of chart
colors: {
data1: '#6259ca',
data2: '#eb6f33',
data3: '#ec546c'
},
names: {
// name of each serie
'data1': 'May',
'data2': 'June',
'data3': 'July'
}
},
axis: {
x: {
type: 'category',
// name of each category
categories: ['2013', '2014', '2015', '2016', '2017', '2018']
},
},
legend: {
show: false, //hide legend
},
padding: {
bottom: 0,
top: 0
},
});
/*chart-temperature*/
var chart = c3.generate({
bindto: '#chart-temperature', // id of chart wrapper
data: {
columns: [
// each columns data
['data1', 8.0, 7.9, 10.5, 15.5, 19.4, 22.5, 26.2, 27.5, 24.3, 19.3, 14.9, 10.6],
['data2', 4.9, 5.2, 6.7, 9.5, 12.9, 16.2, 18.0, 17.6, 15.2, 11.3, 7.6, 5.8]
],
labels: true,
type: 'line', // default type of chart
colors: {
data1: '#6259ca',
data2: '#eb6f33'
},
names: {
// name of each serie
'data1': 'India',
'data2': 'USA'
}
},
axis: {
x: {
type: 'category',
// name of each category
categories: ['May', 'June', 'July', 'Aug', 'Sep', 'Oct']
},
},
legend: {
show: false, //hide legend
},
padding: {
bottom: 0,
top: 0
},
});
/*chart-area*/
var chart = c3.generate({
bindto: '#chart-area', // id of chart wrapper
data: {
columns: [
// each columns data
['data1', 12, 8, 16, 19, 20, 18],
['data2', 12, 5, 6, 8, 10, 13]
],
type: 'area', // default type of chart
colors: {
data1: '#6259ca',
data2: '#eb6f33'
},
names: {
// name of each serie
'data1': 'Maximum',
'data2': 'Minimum'
}
},
axis: {
x: {
type: 'category',
// name of each category
categories: ['May', 'June', 'July', 'Aug', 'Sep', 'Oct']
},
},
legend: {
show: false, //hide legend
},
padding: {
bottom: 0,
top: 0
},
});
/*chart-area-spline*/
var chart = c3.generate({
bindto: '#chart-area-spline', // id of chart wrapper
data: {
columns: [
// each columns data
['data1', 10, 8, 10, 12, 20, 18],
['data2', 8, 12, 8, 20, 10, 13]
],
type: 'area-spline', // default type of chart
colors: {
data1: '#6259ca',
data2: '#eb6f33'
},
names: {
// name of each serie
'data1': 'data1',
'data2': 'data2'
}
},
axis: {
x: {
type: 'category',
// name of each category
categories: ['May', 'June', 'July', 'Aug', 'Sep', 'Oct']
},
},
legend: {
show: false, //hide legend
},
padding: {
bottom: 0,
top: 0
},
});
/*chart-area-spline-sracked*/
var chart = c3.generate({
bindto: '#chart-area-spline-sracked', // id of chart wrapper
data: {
columns: [
// each columns data
['data1', 12, 9, 16, 19, 20, 18],
['data2', 8, 8, 6, 8, 10, 13]
],
type: 'area-spline', // default type of chart
groups: [
['data1', 'data2']
],
colors: {
data1: '#6259ca',
data2: '#eb6f33'
},
names: {
// name of each serie
'data1': 'Maximum',
'data2': 'Minimum'
}
},
axis: {
x: {
type: 'category',
// name of each category
categories: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun']
},
},
legend: {
show: false, //hide legend
},
padding: {
bottom: 0,
top: 0
},
});
/*chart-area-spline-sracked*/
var chart = c3.generate({
bindto: '#chart-sracked', // id of chart wrapper
data: {
columns: [
// each columns data
['data1', 0, 9, 16, 19, 30, 25, 19, 12, 0],
],
type: 'area-spline', // default type of chart
groups: [
['data1', 'data2']
],
colors: {
data1: '#6259ca'
},
names: {
// name of each serie
'data1': 'Maximum'
}
},
axis: {
x: {
type: 'category',
// name of each category
categories: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep']
},
},
legend: {
show: false, //hide legend
},
padding: {
bottom: 0,
top: 0
},
});
/*chart-spline*/
var chart = c3.generate({
bindto: '#chart-spline', // id of chart wrapper
data: {
columns: [
// each columns data
['data1', 0, 0, 0.2, 0.5, 0.6, 1.2, 2.5, 2.9, 4.5, 4.9, 5.2, 5.8, 6.5, 6.7, 7.4, 4.9, 6.4, 5.4, 10.8, 6.8, 5.2, 11.9],
['data2', 0, 0, 0, 0, 0.3, 0.2, 0.5, 0.6, 1.5, 1.8, 1.9, 2.5, 1.6, 3.8, 3.9, 3.6, 1.8, 1.8, 1.9, 2.8, 5.4, 7.8, 10.9]
],
labels: true,
type: 'spline', // default type of chart
colors: {
data1: '#6259ca',
data2: '#eb6f33'
},
names: {
// name of each serie
'data1': 'USA',
'data2': 'India'
}
},
axis: {
x: {
type: 'category',
// name of each category
categories: ['May', 'June', 'July', 'Aug', 'Sep', 'Oct']
},
},
legend: {
show: false, //hide legend
},
padding: {
bottom: 0,
top: 0
},
});
/*chart-spline-rotated*/
var chart = c3.generate({
bindto: '#chart-spline-rotated', // id of chart wrapper
data: {
columns: [
// each columns data
['data1', 12, 7, 8, 6, 8, 9, 12],
['data2', 8, 10, 10, 9, 7, 10, 8]
],
type: 'spline', // default type of chart
colors: {
data1: '#6259ca',
data2: '#eb6f33'
},
names: {
// name of each serie
'data1': 'Maximum',
'data2': 'Minimum'
}
},
axis: {
x: {
type: 'category',
// name of each category
categories: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun']
},
rotated: true,
},
legend: {
show: false, //hide legend
},
padding: {
bottom: 0,
top: 0
},
});
/*chart-step*/
var chart = c3.generate({
bindto: '#chart-step', // id of chart wrapper
data: {
columns: [
// each columns data
['data1', 10, 15, 10, 18, 19, 15],
['data2', 7, 7, 5, 7, 9, 12]
],
type: 'step', // default type of chart
colors: {
data1: '#6259ca',
data2: '#eb6f33'
},
names: {
// name of each serie
'data1': 'Maximum',
'data2': 'Minimum'
}
},
axis: {
x: {
type: 'category',
// name of each category
categories: ['May', 'June', 'July', 'Aug', 'Sep', 'Oct']
},
},
legend: {
show: false, //hide legend
},
padding: {
bottom: 0,
top: 0
},
});
/*chart-area-step*/
var chart = c3.generate({
bindto: '#chart-area-step', // id of chart wrapper
data: {
columns: [
// each columns data
['data1', 15, 14, 18, 19, 20, 18],
['data2', 10, 10, 12, 14, 15, 13]
],
type: 'area-step', // default type of chart
colors: {
data1: '#6259ca',
data2: '#eb6f33'
},
names: {
// name of each serie
'data1': 'Maximum',
'data2': 'Minimum'
}
},
axis: {
x: {
type: 'category',
// name of each category
categories: ['May', 'June', 'July', 'Aug', 'Sep', 'Oct']
},
},
legend: {
show: false, //hide legend
},
padding: {
bottom: 0,
top: 0
},
});
/*chart-bar*/
var chart = c3.generate({
bindto: '#chart-bar', // id of chart wrapper
data: {
columns: [
// each columns data
['data1', 11, 8, 15, 18, 19, 17],
['data2', 7, 7, 5, 7, 9, 12]
],
type: 'bar', // default type of chart
colors: {
data1: '#6259ca',
data2: '#eb6f33'
},
names: {
// name of each serie
'data1': 'Maximum',
'data2': 'Minimum'
}
},
axis: {
x: {
type: 'category',
// name of each category
categories: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun']
},
},
bar: {
width: 16
},
legend: {
show: false, //hide legend
},
padding: {
bottom: 0,
top: 0
},
});
/*chart-bar*/
var chart = c3.generate({
bindto: '#chart-monthly', // id of chart wrapper
data: {
columns: [
// each columns data
['data1', 11, 8, 35, 18, 19, 17, 33, 39, 48, 57, 39, 63]
],
type: 'bar', // default type of chart
colors: {
data1: '#6259ca'
},
names: {
// name of each serie
'data1': 'Maximum'
}
},
axis: {
x: {
type: 'category',
// name of each category
categories: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']
},
},
bar: {
width: 30
},
legend: {
show: false, //hide legend
},
padding: {
bottom: 0,
top: 0
},
});
/*chart-bar-rotated*/
var chart = c3.generate({
bindto: '#chart-bar-rotated', // id of chart wrapper
data: {
columns: [
// each columns data
['data1', 11, 8, 15, 18, 19, 17],
['data2', 7, 7, 5, 7, 9, 12]
],
type: 'bar', // default type of chart
colors: {
data1: '#6259ca',
data2: '#eb6f33'
},
names: {
// name of each serie
'data1': 'Maximum',
'data2': 'Minimum'
}
},
axis: {
x: {
type: 'category',
// name of each category
categories: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun']
},
rotated: true,
},
bar: {
width: 15
},
legend: {
show: false, //hide legend
},
padding: {
bottom: 0,
top: 0
},
});
/*chart-bar-stacked*/
var chart = c3.generate({
bindto: '#chart-bar-stacked', // id of chart wrapper
data: {
columns: [
// each columns data
['data1', 11, 8, 15, 18, 19, 17, 20, 25, 32, 20, 14, 20],
['data2', 7, 7, 5, 7, 9, 12, 4, 6, 2, 5, 2, 8]
],
type: 'bar', // default type of chart
groups: [
['data1', 'data2']
],
colors: {
data1: '#6259ca',
data2: '#eb6f33'
},
names: {
// name of each serie
'data1': 'Maximum',
'data2': 'Minimum'
}
},
axis: {
x: {
type: 'category',
// name of each category
categories: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']
},
},
bar: {
width: 16
},
legend: {
show: false, //hide legend
},
padding: {
bottom: 0,
top: 0
},
});
/*chart-pie*/
var chart = c3.generate({
bindto: '#chart-pie', // id of chart wrapper
data: {
columns: [
// each columns data
['data1', 63],
['data2', 44],
['data3', 12],
['data4', 14]
],
type: 'pie', // default type of chart
colors: {
data1: '#6259ca',
data2: '#eb6f33',
data3: '#ec546c',
data4: '#0774f8'
},
names: {
// name of each serie
'data1': 'A',
'data2': 'B',
'data3': 'C',
'data4': 'D'
}
},
axis: {},
legend: {
show: false, //hide legend
},
padding: {
bottom: 0,
top: 0
},
});
/*chart-pie*/
var chart = c3.generate({
bindto: '#chart-pie2', // id of chart wrapper
data: {
columns: [
// each columns data
['data1', 63],
['data2', 40],
['data3', 12],
['data4', 14],
['data5', 20],
['data6', 29],
],
type: 'pie', // default type of chart
colors: {
'data1': '#6259ca',
'data2': '#eb6f33',
'data3': '#ec546c',
'data4': '#0774f8',
'data5': '#f82649',
'data6': '#e2a117',
},
names: {
// name of each serie
'data1': 'A',
'data2': 'B',
'data3': 'C',
'data4': 'D',
'data5': 'E',
'data6': 'F'
}
},
axis: {},
legend: {
show: false, //hide legend
},
padding: {
bottom: 0,
top: 0
},
});
/*chart-pie*/
var chart = c3.generate({
bindto: '#chart-pie3', // id of chart wrapper
data: {
columns: [
// each columns data
['data1', 63],
['data2', 44],
['data3', 28]
],
type: 'pie', // default type of chart
colors: {
'data1': '#6259ca',
'data2': '#eb6f33',
'data3': '#ec546c'
},
names: {
// name of each serie
'data1': 'A',
'data2': 'B',
'data3': 'C'
}
},
axis: {},
legend: {
show: false, //hide legend
},
padding: {
bottom: 0,
top: 0
},
});
/*chart-pie*/
var chart = c3.generate({
bindto: '#chart-pie4', // id of chart wrapper
data: {
columns: [
// each columns data
['data1', 58],
['data2', 45],
['data3', 20],
['data4', 14]
],
type: 'pie', // default type of chart
colors: {
'data1': '#6259ca',
'data2': '#eb6f33',
'data3': '#ec546c',
'data4': '#0774f8'
},
names: {
// name of each serie
'data1': 'A',
'data2': 'B',
'data3': 'C',
'data4': 'D'
}
},
axis: {},
legend: {
show: false, //hide legend
},
padding: {
bottom: 0,
top: 0
},
});
/*chart-donut*/
var chart = c3.generate({
bindto: '#chart-donut', // id of chart wrapper
data: {
columns: [
// each columns data
['data1', 78],
['data2', 95],
['data3', 25],
],
type: 'donut', // default type of chart
colors: {
data1: '#6259ca',
data2: '#eb6f33',
data3: '#ec546c',
},
names: {
// name of each serie
'data1': 'sales1',
'data2': 'sales2',
'data3': 'sales3'
}
},
axis: {},
legend: {
show: false, //hide legend
},
padding: {
bottom: 0,
top: 0
},
});
/*chart-donut*/
var chart = c3.generate({
bindto: '#chart-donut2', // id of chart wrapper
data: {
columns: [
// each columns data
['data1', 78],
['data2', 95],
['data3', 25],
['data4', 45],
['data5', 75],
['data6', 25],
],
type: 'donut', // default type of chart
colors: {
'data1': '#6259ca',
'data2': '#eb6f33',
'data3': '#ec546c',
'data4': '#0774f8',
'data5': '#f82649',
'data6': '#e2a117',
},
names: {
// name of each serie
'data1': 'sales1',
'data2': 'sales2',
'data3': 'sales3',
'data4': 'sales4',
'data5': 'sales5',
'data6': 'sales6',
}
},
axis: {},
legend: {
show: false, //hide legend
},
padding: {
bottom: 0,
top: 0
},
});
/*chart-donut*/
var chart = c3.generate({
bindto: '#chart-donut3', // id of chart wrapper
data: {
columns: [
// each columns data
['data1', 78],
['data2', 95]
],
type: 'donut', // default type of chart
colors: {
'data1': '#6259ca',
'data2': '#eb6f33',
},
names: {
// name of each serie
'data1': 'sales1',
'data2': 'sales2'
}
},
axis: {},
legend: {
show: false, //hide legend
},
padding: {
bottom: 0,
top: 0
},
});
/*chart-donut*/
var chart = c3.generate({
bindto: '#chart-donut4', // id of chart wrapper
data: {
columns: [
// each columns data
['data1', 78],
['data2', 95],
['data3', 25],
['data4', 45]
],
type: 'donut', // default type of chart
colors: {
'data1': '#6259ca',
'data2': '#eb6f33',
'data3': '#ec546c',
'data4': '#0774f8',
},
names: {
// name of each serie
'data1': 'sales1',
'data2': 'sales2',
'data3': 'sales3',
'data4': 'sales4',
}
},
axis: {},
legend: {
show: false, //hide legend
},
padding: {
bottom: 0,
top: 0
},
});
/*chart-scatter*/
var chart = c3.generate({
bindto: '#chart-scatter', // id of chart wrapper
data: {
columns: [
// each columns data
['data1', 11, 8, 15, 18, 19, 17],
['data2', 7, 7, 5, 7, 9, 12]
],
type: 'scatter', // default type of chart
colors: {
data1: 'green',
data2: 'red'
},
names: {
// name of each serie
'data1': 'Maximum',
'data2': 'Minimum'
}
},
axis: {
x: {
type: 'category',
// name of each category
categories: ['May', 'Jun', 'July', 'Aug', 'Sep', 'Oct']
},
},
legend: {
show: false, //hide legend
},
padding: {
bottom: 0,
top: 0
},
});
/*chart-combination*/
var chart = c3.generate({
bindto: '#chart-combination', // id of chart wrapper
data: {
columns: [
// each columns data
['data1', 100, 130, 150, 240, 130, 220],
['data2', 250, 200, 220, 400, 250, 350],
['data3', 100, 130, 150, 240, 130, 220]
],
type: 'bar', // default type of chart
types: {
'data1': "line",
'data2': "spline",
},
groups: [
['data3']
],
colors: {
data1: '#ec546c',
data2: '#d43f8d',
data3: '#0774f8'
},
color: function (color, d) {
// d will be 'id' when called for legends
return d.id && d.id === 'data3' ? d3.rgb(98, 89, 202): color;
//return d.id && d.id === 'data3' ? d3.rgb(98, 89, 202) :color;
//return d.id && d.id === 'data3' ? d3.rgb(98, 89, 202).darker(d.value / 120) : color;
},
names: {
// name of each serie
'data1': 'Marketing',
'data2': 'Development',
'data3': 'Sales'
}
},
axis: {
x: {
type: 'category',
// name of each category
categories: ['2007-2008', '2009-2010', '2011-2012', '2013-2014', '2015-2016', '2017-2018']
},
},
bar: {
width: 50
},
legend: {
show: false, //hide legend
},
padding: {
bottom: 0,
top: 0
},
});
/*chart-wrapper*/
var chart = c3.generate({
bindto: '#chart-wrapper', // id of chart wrapper
data: {
columns: [
// each columns data
['data1', 7.0, 6.9, 9.5, 14.5, 18.4, 21.5, 25.2, 26.5, 23.3, 18.3, 13.9, 9.6],
['data2', 3.9, 4.2, 5.7, 8.5, 11.9, 15.2, 17.0, 16.6, 14.2, 10.3, 6.6, 4.8]
],
labels: true,
type: 'line', // default type of chart
colors: {
data1: 'purple',
data2: 'pink'
},
names: {
// name of each serie
'data1': 'Tokyo',
'data2': 'London'
}
},
axis: {
x: {
type: 'category',
// name of each category
categories: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun']
},
},
legend: {
show: false, //hide legend
},
padding: {
bottom: 0,
top: 0
},
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