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  1. API reference
  2. Welcome
    1. Getting started
    2. Get Flexmonster
    3. Quick start
    4. System requirements
    5. Troubleshooting
    6. Managing license keys
    7. Migrating from WebDataRocks to Flexmonster
  3. Integration with frameworks
    1. Available tutorials
    2. Integration with Angular
    3. Integration with React
    4. Integration with Vue
    5. Other integrations
      1. Integration with Python
        1. Integration with Django
        2. Integration with Jupyter Notebook
      2. Integration with React Native
      3. Integration with Blazor
      4. Integration with AngularJS (v1.x)
      5. Integration with TypeScript
      6. Integration with R Shiny
      7. Integration with jQuery
      8. Integration with Ionic
      9. Integration with Electron.js
      10. Integration with Webpack
      11. Integration with RequireJS
  4. Connecting to Data Source
    1. Supported data sources
    2. JSON
      1. Connecting to JSON
      2. Connecting to JSON using Flexmonster Data Server
      3. Data types in JSON
    3. CSV
      1. Connecting to CSV
      2. Connecting to CSV using Flexmonster Data Server
      3. Data types in CSV
    4. Database
      1. Connecting to SQL databases
      2. Connecting to a MySQL database
      3. Connecting to a Microsoft SQL Server database
      4. Connecting to a PostgreSQL database
      5. Connecting to an Oracle database
    5. Flexmonster Data Server
      1. Introduction to Flexmonster Data Server
      2. Getting started with Flexmonster Data Server
      3. Flexmonster Admin Panel Guide
      4. Data sources guide
      5. Security and authorization guide
      6. The Data Server as a DLL
        1. Getting started with the Data Server as a DLL
        2. Referencing the Data Server as a DLL
        3. Implementing the API controller
        4. Implementing the server filter
        5. Implementing the custom parser
        6. DLL configurations reference
        7. The controller's methods for request handling
      7. The Data Server as a console application
        1. Installing the Data Server as a console application
        2. Configurations reference
        3. Data sources guide
        4. Security and authorization guide
      8. Troubleshooting the Data Server
    6. MongoDB
      1. Introduction to Flexmonster MongoDB Connector
      2. Getting started with the MongoDB Connector
      3. Embedding the MongoDB Connector into the server
      4. Configuring the MongoDB Connector
    7. Microsoft Analysis Services
      1. Connecting to Microsoft Analysis Services
      2. Getting started with Flexmonster Accelerator
      3. Referencing the Accelerator as a DLL
      4. Configuring the authentication process
      5. Configuring a secure HTTPS connection
      6. Troubleshooting
    8. Custom data source API
      1. Introduction to the custom data source API
      2. A quick overview of a sample Node.js server
      3. A quick overview of a sample .NET Core server
      4. Implement your own server
        1. Implementing the custom data source API server
        2. Implementing filters
        3. Supporting more aggregation functions
        4. Supporting multilevel hierarchies
        5. Returning data for the drill-through view
        6. Testing your custom data source API server
    9. Elasticsearch
      1. Connecting to Elasticsearch
      2. Configuring the mapping
    10. Pentaho Mondrian
      1. Connecting to Pentaho Mondrian
      2. Getting started with the Accelerator
      3. Configuring Mondrian roles
      4. Configuring username/password protection
      5. Configuring a secure HTTPS connection
      6. Troubleshooting
    11. Connecting to other data sources
  5. Accessibility
    1. Accessibility overview
    2. Keyboard navigation
  6. Configuring the component
    1. Available tutorials
    2. Getting started with the report
    3. Configure the data source
      1. Data source
      2. Mapping
    4. Define which data to show
      1. Slice
      2. Custom sorting
      3. Calculated values
    5. Manage Flexmonster’s functionality
      1. Options
      2. Configuring global options
    6. Format fields
      1. Number formatting
      2. Date and time formatting
      3. Conditional formatting
    7. Capture the report
      1. Get the report from the component
      2. Set the report for the component
      3. Share the report
      4. Export and print
  7. Charts
    1. Available tutorials
    2. Flexmonster Pivot Charts
    3. Integration with Highcharts
    4. Integration with amCharts
    5. Integration with Google Charts
    6. Integration with FusionCharts
    7. Integration with any charting library
  8. Customizing
    1. Available tutorials
    2. Customizing the Toolbar
    3. Customizing appearance
    4. Customizing the context menu
    5. Customizing the grid
    6. Customizing the pivot charts
    7. Localizing the component
  9. Security
    1. Security in Flexmonster
    2. Security aspects of connecting to an OLAP cube
      1. Ways of connecting to an OLAP cube
      2. The data transfer process
      3. Data security
      4. Data access management
  10. Updating to the latest version
    1. Updating to the latest version
    2. Release notes
    3. Migration guide from 2.8 to 2.9
    4. Migration guide from 2.7 to 2.8
    5. Migration guide from 2.6 to 2.7
    6. Migration guide from 2.5 to 2.6
    7. Migration guide from 2.4 to 2.5
    8. Migration guide from 2.3 to 2.4
    9. Migration guide from 2.2 to 2.3
  11. Flexmonster CLI Reference
    1. Overview
    2. Troubleshooting the CLI
    3. flexmonster create
    4. flexmonster add
    5. flexmonster update
    6. flexmonster version
    7. flexmonster help
  12. Documentation for older versions
Table of contents

Integration with amCharts

This guide describes how to integrate Flexmonster with amCharts – a JavaScript library for interactive data visualization.

The approach described in this tutorial works only for amCharts 4. To integrate Flexmonster with older amCharts versions, follow this guide: Integration with any charting library.

This tutorial is split into the following sections, follow the steps below to integrate Flexmonster with the amCharts library:

Supported chart types

Data preprocessed by Flexmonster Connector for amCharts is represented as an array of objects. All amCharts chart types accept this data format, so Flexmonster supports all of them.

See how to integrate the component with different chart types:

  • Area chart (demo)
  • Bar chart (demo)
  • Bubble chart (demo)
  • Clustered bar chart (demo)
  • Clustered column chart (demo)
  • Column chart (demo)
  • Donut chart (demo)
  • Line chart (demo)
  • Nested donut (demo)
  • Pie chart (demo)
  • Radar chart (demo)
  • Radar chart with switched axes (demo)
  • Semi-circle pie chart (demo)
  • Stacked bar chart (demo)
  • Stacked column chart (demo)
  • 3d Donut chart (demo)

More ready-to-use examples of integration with amCharts are available on the Examples page.

Adding amCharts

The steps below describe how to create a pie chart based on data received from the component. To integrate Flexmonster with other chart types, refer to the amCharts documentation.

Step 1. Embed the component into your web page

Add Flexmonster to your web page and configure a simple report (e.g., based on a JSON or CSV data source). Replace "XXXX-XXXX-XXXX-XXXX-XXXX" with your license key. If you don’t have a license key, contact our team and request a special trial key.

<div id="pivotContainer">The component will appear here</div>
<script src="https://cdn.flexmonster.com/flexmonster.js"></script>

<script>
    var pivot = new Flexmonster({
        container: "pivotContainer",
        componentFolder: "https://cdn.flexmonster.com/",
height: 300,
        report: {
            dataSource: {
                filename: "data/data.csv"
            },
            slice: {
                rows: [
                    { uniqueName: "Country" }
                ],
                columns: [
                    { uniqueName: "Color" },
                    { uniqueName: "[Measures]" }
                ],
                measures: [
                    { uniqueName: "Price" }
                ]
            }
        },
        licenseKey: "XXXX-XXXX-XXXX-XXXX-XXXX"
    });
</script>

Step 2. Add amCharts files

Now, include the amCharts files to your web page:

<script src="https://www.amcharts.com/lib/4/core.js"></script>
<script src="https://www.amcharts.com/lib/4/charts.js"></script>
<script src="https://www.amcharts.com/lib/4/themes/animated.js"></script>

Including files directly to the web page is one of the possible ways to add amCharts. Refer to the amCharts installation guide for other ways of adding amCharts.

Step 3. Add Flexmonster Connector for amCharts

Flexmonster Connector for amCharts provides ready-to-use methods for easy and smooth integration with amCharts. Add it to your web page with the following lines of code:

<script 
src="https://cdn.flexmonster.com/lib/flexmonster.amcharts.js">
</script>

Step 4. Add a container for amCharts

Add a container for the chart:

<div id="amchartsContainer"></div>

Step 5. Add a reportcomplete event handler

A chart should be created only when the component is ready to provide the data. To track this, use the reportcomplete event:

var pivot = new Flexmonster({
    container: "#pivotContainer",
    componentFolder: "https://cdn.flexmonster.com/",
    report: {
       // the report from the 1st step
    },
    licenseKey: "XXXX-XXXX-XXXX-XXXX-XXXX",
    reportcomplete: function() {
        pivot.off("reportcomplete");
        createChart();
    }
});

When data loading is complete, the event handler will invoke the createChart() function to draw the chart.

The implementation of the createChart() function is given below.

Step 6. Create a variable for the chart

Declare a variable to work with the chart instance:

let chart;

The variable should be visible to functions that draw and redraw the chart.

Step 7. Request data from the component

The Connector for amCharts extends the Flexmonster API with the amcharts.getData() method, which requests data from the component and structures it to the format required by amCharts. Call the amcharts.getData() method to get data from the component:

function createChart() {
pivot.amcharts.getData({}, drawChart, updateChart);
}

Data returned by the amcharts.getData() method contains fields specified in the report.slice object. If the amcharts.getData() method gets a slice as a parameter, the data is prepared according to it.

See more details about the amcharts.getData() method.

Step 8. Create a function to draw the chart

The drawChart() function initializes the chart, configures it, and fills the chart with data provided by the amcharts.getData() method:

function drawChart(chartData, rawData) {
    // initialize the chart
   var chart = am4core.create("amchartsContainer", am4charts.PieChart);
    //fill the chart with the data from Flexmonster
    chart.data = chartData.data;
    chart.legend = new am4charts.Legend();
    // Create pie series
    var series = chart.series.push(new am4charts.PieSeries());
    series.dataFields.category = pivot.amcharts.getCategoryName(rawData);
   series.dataFields.value = pivot.amcharts.getMeasureNameByIndex(rawData, 0);
}

Notice the following lines in the code snippet:

series.dataFields.category = pivot.amcharts.getCategoryName(rawData);
series.dataFields.value = pivot.amcharts.getMeasureNameByIndex(rawData, 0);

The amcharts.getCategoryName() method is used to set the category name for the amCharts Category axis. Learn more about how the method chooses the category name.

Then, getMeasureNameByIndex() sets the value for the Value axis.

For more details on how the pie chart is created, see the amCharts documentation.

Step 9. Create a function to update the chart

Create a function that will redraw the chart once the report is updated (e.g., when the data is filtered, sorted, etc.):

function updateChart(chartData, rawData) { 
chart.dispose();
drawChart(chartData, rawData);
}

When the data is updated, this function will dispose of the current chart and draw a new chart based on the updated data.

Step 10. See the results

Launch your web page from a browser and see an interactive pie chart displaying data from the component. Check out a live example on JSFiddle.

Preparing data for the chart

This section explains how Flexmonster Connector for amCharts preprocesses data for the chart.

The amcharts.getData() method returns data in the format required by amCharts, namely as an array of objects. For example:

[
    {
       "categoryName": "value",
       "measureName 1": "value",
         …
       "measureName n": "value",
    }
    …
]

The object contains only one category field as well as all the measures from the slice.

A field to represent the category is chosen as follows:

  1. If the slice.rows array contains some fields, the first field from rows is chosen to be the category.
  2. If the slice.rows array is empty and the slice.columns array contains some fields, the first field from columns is chosen as the category.

If both slice.rows and slice.columns are empty, then no category is available, and amcharts.getCategoryName() will return undefined.

In such cases, the getMeasureNameByIndex() method can be used to select the category for the series.

Configuring number formatting

The Connector allows using a number format set via the Format Object for amCharts as well. The amcharts.getNumberFormatPattern() method converts the Format Object received from the component to the amCharts number formatting string.

When the formatting string is prepared by the method, the following properties of the Format Object are considered:

  • decimalPlaces
  • maxDecimalPlaces
  • negativeNumberFormat (only the -1 and (1) formats are available)
  • currencySymbol
  • positiveCurrencyFormat
  • negativeCurrencyFormat (only the $-1, -1$, ($1), (1$) formats are available)
  • isPercent

Regardless of the configuration set in the Format Object, the thousandsSeparator and decimalSeparator format parameters always have constant values. These values are , for thousandsSeparator and . for decimalSeparator. amCharts imposes this limitation as it uses predefined separators for decimals and thousands.

Here is an example of the formatting string returned by the amcharts.getNumberFormatPattern() method:

'$'#,###.00|'($'#,###.00')'

The part of the string before | defines the positive number format. The part of the string after | defines the negative number format. For example, 1205 will be shown as $1,205.00, and -1205 will be shown as ($1,205.00).

What’s next?

You may be interested in the following articles: