Bootstrap charts
Simple, clean and interactive charts
Standard charts:
Minimalist charts:
Sales
ROI
Conversion
Usage for standard charts
Step 1: Create <canvas> element in your html file and set it an ID.
<canvas id="myChart"></canvas>
Step 2: Declare a new Chart in the javascript section of your project.
$(function () {
// Get the context of the canvas element we want to select
var ctx = document.getElementById("myChart").getContext('2d');
var myLineChart = new Chart(ctx).Line(data, option); //'Line' defines type of the chart.
});
Step 3: Make a chart responsive.
$(function () {
var option = {
responsive: true,
};
// Get the context of the canvas element we want to select
var ctx = document.getElementById("myChart").getContext('2d');
var myLineChart = new Chart(ctx).Line(data, option); //'Line' defines type of the chart.
});
Step 4: Declare a data for the chart.
$(function () {
var data = {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [
{
label: "My First dataset",
fillColor: "rgba(220,220,220,0.2)",
strokeColor: "rgba(220,220,220,1)",
pointColor: "rgba(220,220,220,1)",
pointStrokeColor: "#fff",
pointHighlightFill: "#fff",
pointHighlightStroke: "rgba(220,220,220,1)",
data: [65, 59, 80, 81, 56, 55, 40]
},
{
label: "My Second dataset",
fillColor: "rgba(151,187,205,0.2)",
strokeColor: "rgba(151,187,205,1)",
pointColor: "rgba(151,187,205,1)",
pointStrokeColor: "#fff",
pointHighlightFill: "#fff",
pointHighlightStroke: "rgba(151,187,205,1)",
data: [28, 48, 40, 19, 86, 27, 90]
}
]
};
var option = {
responsive: true,
};
// Get the context of the canvas element we want to select
var ctx = document.getElementById("myChart").getContext('2d');
var myLineChart = new Chart(ctx).Line(data, option); //'Line' defines type of the chart.
});
Step 5: (Optional) Change global chart configuration
Chart.defaults.global = {
// Boolean - Whether to animate the chart
animation: true,
// Number - Number of animation steps
animationSteps: 60,
// String - Animation easing effect
// Possible effects are:
// [easeInOutQuart, linear, easeOutBounce, easeInBack, easeInOutQuad,
// easeOutQuart, easeOutQuad, easeInOutBounce, easeOutSine, easeInOutCubic,
// easeInExpo, easeInOutBack, easeInCirc, easeInOutElastic, easeOutBack,
// easeInQuad, easeInOutExpo, easeInQuart, easeOutQuint, easeInOutCirc,
// easeInSine, easeOutExpo, easeOutCirc, easeOutCubic, easeInQuint,
// easeInElastic, easeInOutSine, easeInOutQuint, easeInBounce,
// easeOutElastic, easeInCubic]
animationEasing: "easeOutQuart",
// Boolean - If we should show the scale at all
showScale: true,
// Boolean - If we want to override with a hard coded scale
scaleOverride: false,
// ** Required if scaleOverride is true **
// Number - The number of steps in a hard coded scale
scaleSteps: null,
// Number - The value jump in the hard coded scale
scaleStepWidth: null,
// Number - The scale starting value
scaleStartValue: null,
// String - Colour of the scale line
scaleLineColor: "rgba(0,0,0,.1)",
// Number - Pixel width of the scale line
scaleLineWidth: 1,
// Boolean - Whether to show labels on the scale
scaleShowLabels: true,
// Interpolated JS string - can access value
scaleLabel: "<%=value%>",
// Boolean - Whether the scale should stick to integers, not floats even if drawing space is there
scaleIntegersOnly: true,
// Boolean - Whether the scale should start at zero, or an order of magnitude down from the lowest value
scaleBeginAtZero: false,
// String - Scale label font declaration for the scale label
scaleFontFamily: "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif",
// Number - Scale label font size in pixels
scaleFontSize: 12,
// String - Scale label font weight style
scaleFontStyle: "normal",
// String - Scale label font colour
scaleFontColor: "#666",
// Boolean - whether or not the chart should be responsive and resize when the browser does.
responsive: false,
// Boolean - whether to maintain the starting aspect ratio or not when responsive, if set to false, will take up entire container
maintainAspectRatio: true,
// Boolean - Determines whether to draw tooltips on the canvas or not
showTooltips: true,
// Function - Determines whether to execute the customTooltips function instead of drawing the built in tooltips (See [Advanced - External Tooltips](#advanced-usage-custom-tooltips))
customTooltips: false,
// Array - Array of string names to attach tooltip events
tooltipEvents: ["mousemove", "touchstart", "touchmove"],
// String - Tooltip background colour
tooltipFillColor: "rgba(0,0,0,0.8)",
// String - Tooltip label font declaration for the scale label
tooltipFontFamily: "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif",
// Number - Tooltip label font size in pixels
tooltipFontSize: 14,
// String - Tooltip font weight style
tooltipFontStyle: "normal",
// String - Tooltip label font colour
tooltipFontColor: "#fff",
// String - Tooltip title font declaration for the scale label
tooltipTitleFontFamily: "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif",
// Number - Tooltip title font size in pixels
tooltipTitleFontSize: 14,
// String - Tooltip title font weight style
tooltipTitleFontStyle: "bold",
// String - Tooltip title font colour
tooltipTitleFontColor: "#fff",
// Number - pixel width of padding around tooltip text
tooltipYPadding: 6,
// Number - pixel width of padding around tooltip text
tooltipXPadding: 6,
// Number - Size of the caret on the tooltip
tooltipCaretSize: 8,
// Number - Pixel radius of the tooltip border
tooltipCornerRadius: 6,
// Number - Pixel offset from point x to tooltip edge
tooltipXOffset: 10,
// String - Template string for single tooltips
tooltipTemplate: "<%if (label){%><%=label%>: <%}%><%= value %>",
// String - Template string for multiple tooltips
multiTooltipTemplate: "<%= value %>",
// Function - Will fire on animation progression.
onAnimationProgress: function(){},
// Function - Will fire on animation completion.
onAnimationComplete: function(){}
}
Line Chart
var myLineChart = new Chart(ctx).Line(data, option);
Data structure:
var data = {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [
{
label: "My First dataset",
fillColor: "rgba(220,220,220,0.2)",
strokeColor: "rgba(220,220,220,1)",
pointColor: "rgba(220,220,220,1)",
pointStrokeColor: "#fff",
pointHighlightFill: "#fff",
pointHighlightStroke: "rgba(220,220,220,1)",
data: [65, 59, 80, 81, 56, 55, 40]
},
{
label: "My Second dataset",
fillColor: "rgba(151,187,205,0.2)",
strokeColor: "rgba(151,187,205,1)",
pointColor: "rgba(151,187,205,1)",
pointStrokeColor: "#fff",
pointHighlightFill: "#fff",
pointHighlightStroke: "rgba(151,187,205,1)",
data: [28, 48, 40, 19, 86, 27, 90]
}
]
};
Radar Chart
var myRadarChart = new Chart(ctx).Radar(data, option);
Data structure:
var data = {
labels: ["Eating", "Drinking", "Sleeping", "Designing", "Coding", "Cycling", "Running"],
datasets: [
{
label: "My First dataset",
fillColor: "rgba(220,220,220,0.2)",
strokeColor: "rgba(220,220,220,1)",
pointColor: "rgba(220,220,220,1)",
pointStrokeColor: "#fff",
pointHighlightFill: "#fff",
pointHighlightStroke: "rgba(220,220,220,1)",
data: [65, 59, 90, 81, 56, 55, 40]
},
{
label: "My Second dataset",
fillColor: "rgba(151,187,205,0.2)",
strokeColor: "rgba(151,187,205,1)",
pointColor: "rgba(151,187,205,1)",
pointStrokeColor: "#fff",
pointHighlightFill: "#fff",
pointHighlightStroke: "rgba(151,187,205,1)",
data: [28, 48, 40, 19, 96, 27, 100]
}
]
};
Bar Chart
var myBarChart = new Chart(ctx).Bar(data, option);
Data structure:
var data = {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [
{
label: "My First dataset",
fillColor: "rgba(220,220,220,0.5)",
strokeColor: "rgba(220,220,220,0.8)",
highlightFill: "rgba(220,220,220,0.75)",
highlightStroke: "rgba(220,220,220,1)",
data: [65, 59, 80, 81, 56, 55, 40]
},
{
label: "My Second dataset",
fillColor: "rgba(151,187,205,0.5)",
strokeColor: "rgba(151,187,205,0.8)",
highlightFill: "rgba(151,187,205,0.75)",
highlightStroke: "rgba(151,187,205,1)",
data: [28, 48, 40, 19, 86, 27, 90]
}
]
};
Polar Area Chart
var myPolarAreaChart = new Chart(ctx).PolarArea(data, option);
Data structure:
var data = [
{
value: 300,
color:"#F7464A",
highlight: "#FF5A5E",
label: "Red"
},
{
value: 50,
color: "#46BFBD",
highlight: "#5AD3D1",
label: "Green"
},
{
value: 100,
color: "#FDB45C",
highlight: "#FFC870",
label: "Yellow"
},
{
value: 40,
color: "#949FB1",
highlight: "#A8B3C5",
label: "Grey"
},
{
value: 120,
color: "#4D5360",
highlight: "#616774",
label: "Dark Grey"
}
];
Pie Chart
var myPieChart = new Chart(ctx).Pie(data,option);
Data structure:
var data = [
{
value: 300,
color:"#F7464A",
highlight: "#FF5A5E",
label: "Red"
},
{
value: 50,
color: "#46BFBD",
highlight: "#5AD3D1",
label: "Green"
},
{
value: 100,
color: "#FDB45C",
highlight: "#FFC870",
label: "Yellow"
}
]
Doughnut Chart
var myDoughnutChart = new Chart(ctx).Doughnut(data,option);
Data structure:
var data = [
{
value: 300,
color:"#F7464A",
highlight: "#FF5A5E",
label: "Red"
},
{
value: 50,
color: "#46BFBD",
highlight: "#5AD3D1",
label: "Green"
},
{
value: 100,
color: "#FDB45C",
highlight: "#FFC870",
label: "Yellow"
}
]
Usage for minimalist charts Premium component
Sales
ROI
Conversion
Step 1: Create a basic markup for the chart with a class .min-chart, id and percentage .
<span class="min-chart" id="chart-sales" data-percent="56"><span class="percent"></span></span>
Step 2: (Optional) Create a label.
<span class="min-chart" id="chart-sales" data-percent="56"><span class="percent"></span></span>
<h5><span class="label green">Sales <i class="fa fa-arrow-circle-up"></i></span></h5>
Step 3: Initialize it.
$(function () {
$('.min-chart#chart-sales').easyPieChart({
barColor: "#4caf50",
onStep: function (from, to, percent) {
$(this.el).find('.percent').text(Math.round(percent));
}
});
});
Step 4: Use .text-center class to center the content.
<div class="text-center">
<span class="min-chart" id="chart-sales" data-percent="56"><span class="percent"></span></span>
<h5><span class="label green">Sales <i class="fa fa-arrow-circle-up"></i></span></h5>
</div>