Create a Gauge in Ember Using Ember
The ember-fusioncharts component, provide bindings for FusionCharts JavaScript charting library. It lets you add interactive JavaScript charts and graphs to your web and mobile applications using EmberJS component.
In this page, we'll see how to install FusionCharts and render a chart using the ember-fusionCharts
component.
Installation
To install FusionCharts and the ember-fusioncharts
component via npm
follow the steps below:
Step 1: Install fusioncharts
core library
$ npm install fusioncharts --save
Step 2: Install ember-fusioncharts
You can install ember-fusioncharts
component for any of the following CLI:
$ ember install ember-fusioncharts
That completes the installation of FusionCharts and the ember-fusioncharts
component.
Create your first gauge
Gauges are powerful tools that can showcase information using a radial scale to display data.
To start with, we'll build a simple angular gauge showcasing Nordstrom's Customer Satisfaction Score as shown below.
The angular gauge is shown below:
Chart data
The thresholds for the above sample is shown in the table below:
Range | Color | Hex Code |
---|---|---|
0-50 | Red | #F2726F |
50-75 | Yellow | #FFC533 |
75-100 | Green | #62B58F |
So, any score less than 50 is bad and is red. Any score between 50 and 75 is average and is yellow. Any score above 75 means good and are green.
FusionCharts accepts data in JSON format. Following code is the JSON representation of the above table with the required attributes to render the above chart.
{
// Chart Configuration
"chart": {
"caption": "Nordstrom's Customer Satisfaction Score for 2017",
"lowerLimit": "0",
"upperLimit": "100",
"showValue": "1",
"numberSuffix": "%",
"theme": "fusion",
"showToolTip": "0"
},
// Chart Data
"colorRange": {
"color": [
{
"minValue": "0",
"maxValue": "50",
"code": "#F2726F"
},
{
"minValue": "50",
"maxValue": "75",
"code": "#FFC533"
},
{
"minValue": "75",
"maxValue": "100",
"code": "#62B58F"
}
]
},
"dials": {
"dial": [
{
"value": "81"
}
]
}
}
In the above JSON:
Create the
chart
object to define the elements of the gauge.Create the
colorRange
object to set the color associated with the specific range of values.Specify
minValue
andmaxValue
within thecolor
array under thecolorRange
object.Set the
code
attribute to specify the hex color of respective ranges.Create the
dials
object to represent the customer satisfaction score.Create the
dial
object underdials
object to set the value of customer satisfaction score.
The chart object and the respective arrays contain a set of key-value pairs known as attributes
. These attributes are used to set the functional and cosmetic properties of the gauge.
Now that you have the data in JSON format, let's see how to render the chart.
Render the Gauge
To render the gauge using ember-fusioncharts
component, follow the steps below:
Step 1: In ember-cli-build.js
file include the necessary files and add the dependency.
Import FusionCharts library to your
ember-cli-build.js
file.Import FusionWidgets to render a gauge.
Import
ember-fusioncharts
to yourember-cli-build.js
file.Import specific modules to your
ember-cli-build.js
file.Import the FusionCharts theme file to apply the style to the charts.
If you need to use different assets in different environments, specify an object as the first parameter. That object's keys should be the environment name and the values should be the asset to use in that environment.
/* eslint-env node */
"use strict";
const EmberApp = require("ember-cli/lib/broccoli/ember-app");
module.exports = function(defaults) {
let app = new EmberApp(defaults, {
// Add options here
});
// Import fusioncharts library
app.import("node_modules/fusioncharts/fusioncharts.js");
app.import("node_modules/fusioncharts/fusioncharts.widgets.js");
app.import("node_modules/fusioncharts/themes/fusioncharts.theme.fusion.js");
// Use `app.import` to import additional libraries/files
return app.toTree();
};
Step 2: Create Component and specify the gauge data in chart-viewer.js
file
Create a simple component (e.g. chart-viewer) to render your gauge.
Add data to
chart-viewer.js
fileSet the gauge
width
andheight
Set the chart type as
angulargauge
. Each chart type is represented with a unique chart alias. For Angular Gauge, the alias isangulargauge
. Find the complete list of chart types with their respective alias here.Set the data source
$ ember g component chart-viewer
import Component from "@ember/component";
const myDataSource = {
// Chart Configuration
chart: {
caption: "Nordstrom's Customer Satisfaction Score for 2017",
lowerLimit: "0",
upperLimit: "100",
showValue: "1",
numberSuffix: "%",
theme: "fusion",
showToolTip: "0"
},
// Chart Data
colorRange: {
color: [
{
minValue: "0",
maxValue: "50",
code: "#F2726F"
},
{
minValue: "50",
maxValue: "75",
code: "#FFC533"
},
{
minValue: "75",
maxValue: "100",
code: "#62B58F"
}
]
},
dials: {
dial: [
{
value: "81"
}
]
}
}; // end of this.dataSource
export default Component.extend({
title: "Ember FusionCharts Sample",
width: 450,
height: 250,
type: "angulargauge",
dataFormat: "json",
dataSource: myDataSource
});
Step 3: Add data to chart-viewer.hbs
Add fusioncharts
component to your chart-viewer.hbs
template to render the chart:
<h1>{{ title }}</h1>
{{fusioncharts-xt width=width height=height type=type dataFormat=dataFormat
dataSource=dataSource }}
Step 4: Add data to application.hbs
Add chart-viewer
component to your application.hbs
template:
{{chart-viewer}} {{outlet}}
That's it! Your first gauge using ember-fusioncharts
is ready.
Problem rendering the chart?
In case there is an error, and you are unable to see the chart, check for the following:
If you are getting a JavaScript error on your page, check your browser console for the exact error and fix accordingly. If you're unable to solve it, click here to get in touch with our support team.
If the chart does not show up at all, but there are no JavaScript errors, check if the FusionCharts Suite XT JavaScript library has loaded correctly. You can use developer tools within your browser to see if
fusioncharts.js
was loaded.If you get a Loading Data or Error in loading data message, check whether your JSON data structure is correct, or there are conflicts related to quotation marks in your code.