Adding Drill Down using AngularJS
With FusionCharts, you can create unlimited levels of drill-down with a single data source. The parent chart contains all data — for the parent chart as well as all descendant (child, grandchild) charts. The links to all the descendant charts are defined in the parent chart.
You can drill-down to the descendant charts by simply clicking the data plot items on the parent chart. A descendant chart can either replace the parent chart with an option to drill-up, or it can open in a new window or frame.
Features of the FusionCharts JavaScript Class
Automatically creates and shows a detailed descendant chart when you click on the corresponding data plot item linked in the parent chart
Clones all chart configuration settings from the parent chart to create the descendant charts
Accepts specific properties for descendant charts when you configure them using the configureLink() function
Uses events to notify your code when a link is invoked, a link item is opened, or a link item is closed
Supports drill-down to an unlimited number of levels
Create drill-down charts
To create drill-down charts, follow the steps given below:
Create the JSON/XML data for the parent chart. This is called the parent data source.
Append the data string or the data URL for the descendant charts within the parent data source. If you append the data string, the data for each descendant chart is embedded within the parent data source and is linked using unique data identifiers.
Once you implement these steps, the FusionCharts JavaScript class takes care of the rest. Let's see the steps in details.
As an example, Let's consider a simple scenario of a parent chart with a single level of drill-down.
The parent chart is a column 2D chart that shows yearly sales of the top three juice flavors, for the last one year. When you click on the data plot for a particular flavor of juice, it drills-down to show a pie 2D chart showing quarterly sales figures for that specific flavor.
The above chart looks like this when rendered:
The JSON data to render the above chart:
{
"chart": {
"caption": "Top 3 Juice Flavors",
"subcaption": "Last year",
"xaxisname": "Flavor",
"yaxisname": "Amount (In USD)",
"numberprefix": "$",
"theme": "fusion",
"rotateValues": "0"
},
"data": [{
"label": "Apple",
"value": "810000",
"link": "newchart-xml-apple"
}, {
"label": "Cranberry",
"value": "620000",
"link": "newchart-xml-cranberry"
}, {
"label": "Grapes",
"value": "350000",
"link": "newchart-xml-grapes"
}],
"linkeddata": [{
"id": "apple",
"linkedchart": {
"chart": {
"caption": "Apple Juice - Quarterly Sales",
"subcaption": "Last year",
"numberprefix": "$",
"theme": "fusion",
"rotateValues": "0",
"plottooltext": "$label, $dataValue, $percentValue"
},
"data": [{
"label": "Q1",
"value": "157000"
}, {
"label": "Q2",
"value": "172000"
}, {
"label": "Q3",
"value": "206000"
}, {
"label": "Q4",
"value": "275000"
}]
}
}, {
"id": "cranberry",
"linkedchart": {
"chart": {
"caption": "Cranberry Juice - Quarterly Sales",
"subcaption": "Last year",
"numberprefix": "$",
"theme": "fusion",
"plottooltext": "$label, $dataValue, $percentValue"
},
"data": [{
"label": "Q1",
"value": "102000"
}, {
"label": "Q2",
"value": "142000"
}, {
"label": "Q3",
"value": "187000"
}, {
"label": "Q4",
"value": "189000"
}]
}
}, {
"id": "grapes",
"linkedchart": {
"chart": {
"caption": "Grapes Juice - Quarterly Sales",
"subcaption": "Last year",
"numberprefix": "$",
"theme": "fusion",
"rotateValues": "0",
"plottooltext": "$label, $dataValue, $percentValue"
},
"data": [{
"label": "Q1",
"value": "45000"
}, {
"label": "Q2",
"value": "72000"
}, {
"label": "Q3",
"value": "95000"
}, {
"label": "Q4",
"value": "108000"
}]
}
}]
}Now, create the module and the controller for the template. The code for the js file is given below:
var DataSource = {
"chart": {
"caption": "Top 3 Juice Flavors",
"subcaption": "Last year",
"xaxisname": "Flavor",
"yaxisname": "Amount (In USD)",
"numberprefix": "$",
"theme": "fusion",
"rotateValues": "0",
"id": "myChart"
},
"data": [{
"label": "Apple",
"value": "810000",
"link": "newchart-xml-apple"
},
{
"label": "Cranberry",
"value": "620000",
"link": "newchart-xml-cranberry"
},
{
"label": "Grapes",
"value": "350000",
"link": "newchart-xml-grapes"
}
],
"linkeddata": [{
"id": "apple",
"linkedchart": {
"chart": {
"caption": "Apple Juice - Quarterly Sales",
"subcaption": "Last year",
"numberprefix": "$",
"theme": "fusion",
"rotateValues": "0",
"plottooltext": "$label, $dataValue, $percentValue"
},
"data": [{
"label": "Q1",
"value": "157000"
},
{
"label": "Q2",
"value": "172000"
},
{
"label": "Q3",
"value": "206000"
},
{
"label": "Q4",
"value": "275000"
}
]
}
},
{
"id": "cranberry",
"linkedchart": {
"chart": {
"caption": "Cranberry Juice - Quarterly Sales",
"subcaption": "Last year",
"numberprefix": "$",
"theme": "fusion",
"plottooltext": "$label, $dataValue, $percentValue"
},
"data": [{
"label": "Q1",
"value": "102000"
},
{
"label": "Q2",
"value": "142000"
},
{
"label": "Q3",
"value": "187000"
},
{
"label": "Q4",
"value": "189000"
}
]
}
},
{
"id": "grapes",
"linkedchart": {
"chart": {
"caption": "Grapes Juice - Quarterly Sales",
"subcaption": "Last year",
"numberprefix": "$",
"theme": "fusion",
"rotateValues": "0",
"plottooltext": "$label, $dataValue, $percentValue"
},
"data": [{
"label": "Q1",
"value": "45000"
},
{
"label": "Q2",
"value": "72000"
},
{
"label": "Q3",
"value": "95000"
},
{
"label": "Q4",
"value": "108000"
}
]
}
}
]
};
$scope.myDataSource = DataSource;
$scope.events = {
renderComplete: function(e, a) {
e.sender.configureLink({
type: "pie2d",
renderAt: "myChart",
overlayButton: {
message: 'close',
fontColor: '880000',
bgColor: 'FFEEEE',
borderColor: '660000'
}
}, 0)
}
};Now, use the fusioncharts directive in a template. The HTML template is given below:
<div fusioncharts
width="600"
height="400"
type="msline"
chart="{{attrs}}"
categories="{{categories}}"
dataset="{{dataset}}"
></div>