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Create Multivariate Chart

In this article, we will create a multivariate chart showcasing the database of the Global SuperStore. The chart contains multiple columns with measures (Sales, Quantity, Shipping cost) rendered on separate canvases. All the three canvases share the same time axis (X-axis).

The multivariate chart will look as shown below:

Loading data for chart…

Click here to edit the above chart.

The data for the above chart is shown in the table below:

Order Date Sales Quantity Shipping Cost
1/1/2011 120.366 3 9.72
1/3/2011 113.67 5 4.70
1/5/2011 55.242 2 1.80
1/6/2011 6.54 1 1.13
1/7/2011 5.48 2 0.52
1/8/2011 76.728 3 6.69

Now, let's check how to prepare the schema and the data for the DataTable.

Create the schema

To define the schema, let's create a schema.json file and copy the following code:

let schema = [{
    "name": "Order Date",
    "type": "date",
    "format": "%-m/%-d/%Y"
}, {
    "name": "Sales",
    "type": "number"
}, {
    "name": "Quantity",
    "type": "number"
}, {
    "name": "Shipping Cost",
    "type": "number"
}]

In the above code:

  • schema is the variable in which the array is saved.

  • The first object creates the first column in the DataTable. The first object sets the date/time format for the chart. The name of the column has been set to Time and the data format has been set to %-m/%-d/%Y.

  • The next three are the columns for three measures of the chart:

    • Sales.

    • Quantity.

    • Shipping Cost.

Now that we have the columns ready for the DataTable let's learn how to put the data values into the DataTable.

Create data

To add the data, let's create a data.json file and copy the following code:

let data = [
    [
        "1/11/2011",
        141.57,
        3,
        15.62
    ],
    [
        "1/24/2011",
        59.25,
        5,
        4.27
    ],
    [
        "1/26/2011",
        79.38,
        3,
        13.82
    ],
    [
        "12/30/2014",
        10.854,
        3,
        3.76
    ],
    [
        "12/30/2014",
        16.92,
        2,
        3.21
    ],
    [
        "12/30/2014",
        27.945,
        3,
        2.48
    ]
]

To view the full data click here

In the above code:

  • data is the variable in which the data array is saved.

  • For each data plot in the chart, an array is created which consists of values for each row in the DataTable. The values in the array represent:

    • Order date in the format defined.

    • Sales per day

    • Quantity of the product ordered

    • Shipping cost of the product

We are all set with our data to create the chart.

By default, FusionTime applies the average function to aggregate the data and display on the chart. You can change the aggregate function from average to any other numeric calculation. To know more click here.

Now, let's create the .html file to render the above chart.

Create index file

Once the schema and data files are ready it is time to create the DataTable and render the chart. To do this, create an index file and copy the following code:


import FusionCharts from 'fusioncharts/core';
import TimeSeries from 'fusioncharts/viz/timeseries';
import DataStore from 'fusioncharts/datastore';

import data from './data';
import schema from './schema';

FusionCharts.addDep(TimeSeries);

let fusionDataStore = new DataStore();
let fusionTable = fusionDataStore.createDataTable(data, schema);

window.charInstance = new FusionCharts({
type: 'timeseries',
renderAt: 'container',
width: "95%",
height: 650,
dataSource: {
data: fusionTable,
chart: {
},
caption: {
text: 'Global Online Sales of a SuperStore'
}
}
});




<!DOCTYPE html>
<html lang="en">

<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta http-equiv="X-UA-Compatible" content="ie=edge">
<title>FusionCharts TimeSeries</title>
</head>

<body>
<div id="container"></div>
<script src="path/to/local/fusioncharts.js"></script>
<script src="path/to/local/data.js"></script>
<script src="path/to/local/schema.js"></script>
<script>
let fusionDataStore = new FusionCharts.DataStore();
let fusionTable = fusionDataStore.createDataTable(data, schema);

    new FusionCharts({
      type: 'timeseries',
      renderAt: 'container',
      width: "95%",
      height: 650,
      dataSource: {
        data: fusionTable,
        chart: {
        },
        caption: {
          text: 'Global Online Sales of a SuperStore'
        }
      }
    }).render()

</script>
</body>

</html>

That's it! Your first multivariate chart is ready.

Now, let's see an example where out of the above four columns we will render the chart using the time column and the data of Sales and Quantity.

The chart to showcase the quantity sold will look as shown below:

Loading data for chart…

The code to render the data of Sales and Quantity column is shown below:

window.charInstance = new FusionCharts({
  type: "timeseries",
  renderAt: "container",
  width: "95%",
  height: 650,
  dataSource: {
    data: fusionTable,
    chart: {},
    yAxis: ["Sales", "Quantity"],
    caption: {
      text: "Global Online Sales of a SuperStore"
    }
  }
});

Next, we will discuss on how to create multiple plots in a time-series chart.