Solution & Application Kit

Last updated: Jan 20th, 2018

Chart.js

1. Screenshot

The screenshots used in this page are taken from AppKit. AppKit is a Bootstrap Angular admin theme.

screenshot

2. Global Configurations

Source: http://www.chartjs.org/docs/

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(){}
}

Flot Charts

1. Screenshot

screenshot

2. Basic Usage

Source: https://github.com/flot/flot/blob/master/README.md

Create a placeholder div to put the graph in:

<div id="placeholder"></div>

You need to set the width and height of this div, otherwise the plot library doesn't know how to scale the graph. You can do it inline like this:

<div id="placeholder" style="width:600px;height:300px"></div>

You can also do it with an external stylesheet. Make sure that the placeholder isn't within something with a display:none CSS property - in that case, Flot has trouble measuring label dimensions which results in garbled looks and might have trouble measuring the placeholder dimensions which is fatal (it'll throw an exception).

Then when the div is ready in the DOM, which is usually on document ready, run the plot function:

$.plot($("#placeholder"), data, options);

Here, data is an array of data series and options is an object with settings if you want to customize the plot. Take a look at the examples for some ideas of what to put in or look at the API reference. Here's a quick example that'll draw a line from (0, 0) to (1, 1):

$.plot($("#placeholder"), [ [[0, 0], [1, 1]] ], { yaxis: { max: 1 } });

The plot function immediately draws the chart and then returns a plot object with a couple of methods.

Morris.js

1. Screenshot

screenshot

2. Getting Started

Add morris.js and its dependencies (jQuery & Raphaël) to your page.

1 <link rel="stylesheet" href="//cdnjs.cloudflare.com/ajax/libs/morris.js/0.5.1/morris.css">
2 <script src="//ajax.googleapis.com/ajax/libs/jquery/1.9.0/jquery.min.js"></script>
3 <script src="//cdnjs.cloudflare.com/ajax/libs/raphael/2.1.0/raphael-min.js"></script>
4 <script src="//cdnjs.cloudflare.com/ajax/libs/morris.js/0.5.1/morris.min.js"></script>

3. Your first chart

Start by adding a <div> to your page that will contain your chart. Make sure it has an ID so you can refer to it in your Javascript later.

<div id="myfirstchart" style="height: 250px;"></div>

Note:

in order to display something, you’ll need to have given the div some dimensions. Here I’ve used inline CSS just for illustration.

Next add a <script> block to the end of your page, containing the following javascript code:

new Morris.Line({
  // ID of the element in which to draw the chart.
  element: 'myfirstchart',
  // Chart data records -- each entry in this array corresponds to a point on
  // the chart.
  data: [
    { year: '2008', value: 20 },
    { year: '2009', value: 10 },
    { year: '2010', value: 5 },
    { year: '2011', value: 5 },
    { year: '2012', value: 20 }
  ],
  // The name of the data record attribute that contains x-values.
  xkey: 'year',
  // A list of names of data record attributes that contain y-values.
  ykeys: ['value'],
  // Labels for the ykeys -- will be displayed when you hover over the
  // chart.
  labels: ['Value']
});

Inline Charts

1. Screenshot

screenshot

2. Charts Used

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Jumbotron Example

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AppKit - Bootstrap Angular Admin Theme for Developers

AppKit Theme

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Check out AppKit - an Angular admin theme I created with my developer friend Tom Najdek for developers. AppKit uses modern front-end technologies and is packed with useful components and widgets to speed up your app development.

[Tip for developers]: If your project is Open Source, you can use this area to promote your other projects or hold third party adverts like Bootstrap and FontAwesome do!

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