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Create a Map in Ember Using FusionCharts

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 map

In this section, we will create a visualization using the World Map showing the average annual population growth.

FusionCharts will load here..

Map data

The data for the above map is represented in the table below:

State Entity Name Value
North America NA 82
South America SA 2.04
Asia AS 1.78
Europe EU 40
Africa AF 2.58
Australia AU 1.30

In the above table, the column Entity Name represents the geographical entities represented in the map, whose full names are given in the State column.

FusionCharts accepts data in JSON format in which the above entities are denoted by the id key in the data object.

For any map visualization, it is important to provide the correct value for the id keys. For example, if you want to denote Africa, the value for the corresponding id must be AF and not AFR.

We have a detailed Map Specification Sheets for all the maps that can be rendered using FusionCharts, where you can find the correct id of the maps you want to create.

Following code is the JSON representation of the above table with the required attributes to render the above map.

{
    // Map Configuration
    "chart": {
            "caption": "Average Annual Population Growth",
            "subcaption": " 1955-2015",
            "numbersuffix": "%",
            "includevalueinlabels": "1",
            "labelsepchar": ": ",
            "entityFillHoverColor": "#FFF9C4",
            "theme": "fusion"
    },
    // Aesthetics; ranges synced with the slider
    "colorrange": {
        "minvalue": "0",
        "code": "#FFE0B2",
        "gradient": "1",
        "color": [{
            "minvalue": "0.5",
            "maxvalue": "1.0",
            "color": "#FFD74D"
        }, {
            "minvalue": "1.0",
            "maxvalue": "2.0",
            "color": "#FB8C00"
        }, {
            "minvalue": "2.0",
            "maxvalue": "3.0",
            "color": "#E65100"
        }]
    },
    // Source data as JSON --> id represents countries of world.
    "data": [{
        "id": "NA",
        "value": ".82",
        "showLabel": "1"
    }, {
        "id": "SA",
        "value": "2.04",
        "showLabel": "1"
    }, {
        "id": "AS",
        "value": "1.78",
        "showLabel": "1"
    }, {
        "id": "EU",
        "value": ".40",
        "showLabel": "1"
    }, {
        "id": "AF",
        "value": "2.58",
        "showLabel": "1"
    }, {
        "id": "AU",
        "value": "1.30",
        "showLabel": "1"
    }]
}

In the above JSON data:

  • Create the chart object to define the elements of the map.

  • Create the colorRange array to set the color associated with the specific range of values.

  • Specify minValue and maxValue within the color array under the colorRange array.

  • Create the data array to define the id of the continents and their corresponding values along with configurations. For example, the first object under data array contains the id and value of North America as NA and .82 respectively.

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 map.

Now that you have the data in JSON format, let's learn how to render the map.

Render the map

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.

  • Import the FusionCharts map renderer.

  • Import the map definition files.

  • Import ember-fusioncharts.

  • Import specific modules.

  • 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.maps.js");
  app.import("node_modules/fusioncharts/fusioncharts.world.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 map data in chart-viewer.js file

  • Create a simple component (e.g. chart-viewer) to render your map.

  • Add data to chart-viewer.js file

  • Set the map width and height

  • Set the map type as world. Each map is represented with a unique alias. For World Map, the alias is world. Find the complete list of maps with their respective alias here.

  • Set the data source

$ ember g component chart-viewer
import Component from "@ember/component";

const myDataSource = {
  // Map Configuration
  chart: {
    caption: "Average Annual Population Growth",
    subcaption: " 1955-2015",
    numbersuffix: "%",
    includevalueinlabels: "1",
    labelsepchar: ": ",
    entityFillHoverColor: "#FFF9C4",
    theme: "fusion"
  },
  // Aesthetics; ranges synced with the slider
  colorrange: {
    minvalue: "0",
    code: "#FFE0B2",
    gradient: "1",
    color: [
      {
        minvalue: "0.5",
        maxvalue: "1.0",
        color: "#FFD74D"
      },
      {
        minvalue: "1.0",
        maxvalue: "2.0",
        color: "#FB8C00"
      },
      {
        minvalue: "2.0",
        maxvalue: "3.0",
        color: "#E65100"
      }
    ]
  },
  // Source data as JSON --> id represents countries of world.
  data: [
    {
      id: "NA",
      value: ".82",
      showLabel: "1"
    },
    {
      id: "SA",
      value: "2.04",
      showLabel: "1"
    },
    {
      id: "AS",
      value: "1.78",
      showLabel: "1"
    },
    {
      id: "EU",
      value: ".40",
      showLabel: "1"
    },
    {
      id: "AF",
      value: "2.58",
      showLabel: "1"
    },
    {
      id: "AU",
      value: "1.30",
      showLabel: "1"
    }
  ]
};

export default Component.extend({
  title: "Ember FusionCharts Sample",
  width: 800,
  height: 550,
  type: "world",
  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 map using ember-fusioncharts is ready.

Render other maps

To reduce the size of the package FusionCharts comes with only two maps, i.e., the World map and the USA map. However, FusionCharts provide 1600+ maps for you to explore. Download the map files separately if you want to save them locally.

Let's create a map of California to show the "Web visits for a particular month" as shown below:

FusionCharts will load here..

To render the above map, first install fusionmaps package which contains all the map definition files as shown below:

$ npm install fusionmaps

After installing fusionmaps package, follow the steps to render the map:

Step 1: In ember-cli-build.js file include the necessary files and add the dependency.

  • Import FusionCharts library.

  • Import the FusionCharts map renderer.

  • Import the map definition files.

  • Import ember-fusioncharts.

  • Import specific modules.

  • 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.maps.js");
  app.import("node_modules/fusionmaps/maps/fusioncharts.california.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 map data in chart-viewer.js file

  • Create a simple component (e.g. chart-viewer) to render your map.

  • Add data to chart-viewer.js file

  • Set the map width and height

  • Set the map type as california. Each map is represented with a unique alias. For California Map, the alias is california. Find the complete list of maps with their respective alias here.

  • Set the data source

$ ember g component chart-viewer
import Component from "@ember/component";

const myDataSource = {
  // Map Configuration
  chart: {
    animation: "0",
    showbevel: "0",
    usehovercolor: "1",
    canvasbordercolor: "FFFFFF",
    bordercolor: "FFFFFF",
    showlegend: "1",
    legendposition: "BOTTOM",
    legendborderalpha: "0",
    legendbordercolor: "ffffff",
    legendallowdrag: "0",
    legendshadow: "0",
    caption: "Website Visits for the month of March 2018",
    connectorcolor: "000000",
    fillalpha: "80",
    hovercolor: "CCCCCC",
    showborder: 0,
    theme: "fusion"
  },
  colorrange: {
    minvalue: "0",
    startlabel: "Low",
    endlabel: "High",
    code: "e44a00",
    gradient: "1",
    color: [
      { maxvalue: "2500", code: "f8bd19" },
      { maxvalue: "5000", code: "6baa01" }
    ]
  },
  data: [
    { id: "001", value: 2834 },
    { id: "003", value: 3182 },
    { id: "005", value: 3280 },
    { id: "007", value: 911 },
    { id: "009", value: 292 },
    { id: "011", value: 530 },
    { id: "013", value: 2515 },
    { id: "015", value: 728 },
    { id: "017", value: 1974 },
    { id: "019", value: 848 },
    { id: "021", value: 3278 },
    { id: "023", value: 4463 },
    { id: "025", value: 1198 },
    { id: "027", value: 378 },
    { id: "029", value: 2610 },
    { id: "031", value: 1200 },
    { id: "033", value: 3820 },
    { id: "035", value: 940 },
    { id: "037", value: 3416 },
    { id: "039", value: 4004 },
    { id: "041", value: 1604 },
    { id: "043", value: 4011 },
    { id: "045", value: 3203 },
    { id: "047", value: 3775 },
    { id: "049", value: 2721 },
    { id: "051", value: 3417 },
    { id: "053", value: 1530 },
    { id: "055", value: 412 },
    { id: "057", value: 3434 },
    { id: "059", value: 1670 },
    { id: "061", value: 1274 },
    { id: "063", value: 4339 },
    { id: "065", value: 2073 },
    { id: "067", value: 1018 },
    { id: "069", value: 3967 },
    { id: "071", value: 3401 },
    { id: "073", value: 3307 },
    { id: "075", value: 1938 },
    { id: "077", value: 489 },
    { id: "079", value: 3207 },
    { id: "081", value: 2295 },
    { id: "083", value: 2747 },
    { id: "085", value: 1114 },
    { id: "087", value: 3400 },
    { id: "089", value: 784 },
    { id: "091", value: 1673 },
    { id: "093", value: 4274 },
    { id: "095", value: 4509 },
    { id: "097", value: 3862 },
    { id: "099", value: 1356 },
    { id: "101", value: 4126 },
    { id: "103", value: 1314 },
    { id: "105", value: 1807 },
    { id: "107", value: 4026 },
    { id: "109", value: 3456 },
    { id: "111", value: 1393 },
    { id: "113", value: 1500 },
    { id: "115", value: 2218 }
  ]
}; // end of this.dataSource

export default Component.extend({
  title: "Ember FusionCharts Sample",
  width: 800,
  height: 550,
  type: "california",
  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! The California map 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.