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  1. API reference
  2. Welcome
    1. Component overview
    2. Quick start
    3. System requirements
    4. Troubleshooting
    5. Managing license keys
    6. 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. Integration with Python
      1. Integration with Django
      2. Integration with Jupyter Notebook
    6. Integration with React Native
    7. Integration with AngularJS (v1.x)
    8. Integration with TypeScript
    9. Integration with R Shiny
    10. Integration with jQuery
    11. Integration with Ionic
    12. Integration with Electron.js
    13. Integration with Webpack
    14. Integration with RequireJS
  4. Connecting to Data Source
    1. JSON
      1. Connecting to JSON
      2. Connecting to JSON using Flexmonster Data Server
      3. Data types in JSON
    2. CSV
      1. Connecting to CSV
      2. Connecting to CSV using Flexmonster Data Server
      3. Data types in CSV
    3. 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
      6. Connecting to other databases
    4. Flexmonster Data Server
      1. Getting started with Flexmonster Data Server
      2. Installation guide
      3. Configurations reference
      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. Referring 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
    5. MongoDB
      1. Introduction to Flexmonster MongoDB Connector
      2. Getting started with the MongoDB Connector
      3. Embedding the MongoDB Connector into the server
    6. Microsoft Analysis Services
      1. Connecting to Microsoft Analysis Services
      2. Getting started with the Accelerator
      3. Installing the Accelerator as a Windows service
      4. Referring the Accelerator as a DLL
      5. Configuring the authentication process
      6. Configuring a secure HTTPS connection
      7. Troubleshooting
    7. 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. Implementing the custom data source API server
      5. Implementing filters
      6. Supporting more aggregation functions
      7. Returning data for the drill-through view
    8. Elasticsearch
      1. Connecting to Elasticsearch
      2. Configuring the mapping
    9. 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
  5. 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
  6. Configuring report
    1. What is a report
    2. Data source
    3. Slice
    4. Options
    5. Mapping
    6. Number formatting
    7. Conditional formatting
    8. Set the report for the component
    9. Get the report from the component
    10. Date and time formatting
    11. Configuring global options
    12. Export and print
    13. Calculated values
    14. Custom sorting
  7. Charts
    1. Available tutorials
    2. Flexmonster Pivot Charts
    3. Integration with Highcharts
    4. Integration with Google Charts
    5. Integration with FusionCharts
    6. Integration with any charting library
  8. Customizing
    1. Customizing the Toolbar
    2. Customizing appearance
    3. Customizing the context menu
    4. Customizing the grid
    5. Customizing the pivot charts
    6. Localizing the component
  9. Updating to the latest version
    1. Updating to the latest version
    2. Release notes
    3. Migration guide from 2.7 to 2.8
    4. Migration guide from 2.6 to 2.7
    5. Migration guide from 2.5 to 2.6
    6. Migration guide from 2.4 to 2.5
    7. Migration guide from 2.3 to 2.4
    8. Migration guide from 2.2 to 2.3
    9. Documentation for older versions
Table of contents

Integration with any charting library

This tutorial will help you connect a 3rd party visualization tool to Flexmonster Pivot Table and Charts. This simple example is based on d3.js and aims to illustrate the interaction between data from Flexmonster and external visualization. Integration with any other library will have similar basic steps.

The integration is based on the getData() API call. Read about it to understand the format that the data is returned in from the component. In this article we will connect the pivot table data with the d3.js chart step by step:

Adding the basis for a new chart

  1. Add the component using data from a CSV file to your HTML page. Replace XXXX-XXXX-XXXX-XXXX-XXXX with your license key. If you don’t have a license key, contact our customer service 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/",
    toolbar: true,
    report: {
    dataSource: {
    filename: "data.csv"
    },
    slice: {
    rows: [
    { uniqueName: "Country" }
    ],
    columns: [
    { uniqueName: "Business Type" },
    { uniqueName: "[Measures]" }
    ],
    measures: [
    { uniqueName: "Price" }
    ]
    }
    },
    licenseKey: "XXXX-XXXX-XXXX-XXXX-XXXX"
    });
    </script>
  2. Add a container for the chart.
    <svg id="d3Chart" width="650" height="230"></svg> 
  3. Add a reportCompleteevent handler to know when the pivot table is ready to be a data provider.
    reportcomplete: function() {
    pivot.off("reportcomplete");
    createChart();
    }
  4. Add a function to create the chart. This function uses getData(options, callbackHandler, updateHandler). Try it in JSFiddle.
    function createChart() {
    pivot.getData(
    {
    // define your slice
    },
    drawChart,
    updateChart
    );
    }

Preparing the data and drawing the chart

The most important part of drawing a chart is preparing the data by transforming it from the format returned by the getData() API call to the format that suits the 3rd party visualization tool:

var data = prepareDataFunction(rawData);

This example shows how to define and use a function (in our example it is prepareDataFunction) to process the data. This function should prepare data appropriately for the charting library format. In this example prepareDataFunction iterates through the data array from rawData and discards a record containing the grand total because it is unnecessary for the bar chart. The function also renames rows from r0 to member and values from v0 to value. This is not required, but it makes the code more readable when referring to the data later. We have the following pivot table:

Country Total Sum of Price
Australia 1 372 281
France 1 117 794
Germany 1 070 453
Canada 1 034 112
United States 847 331
United Kingdom 779 899
Grand Total 6 221 870

The data array from rawData looks like this:

	data:[
		{
			v0:6221870
		},
		{
			r0:"Australia",
			v0:1372281
		},
		{
			r0:"France",
			v0:1117794
		},
		{
			r0:"Germany",
			v0:1070453
		},
		{
			r0:"Canada",
			v0:1034112
		},
		{
			r0:"United States",
			v0:847331
		},
		{
			r0:"United Kingdom",
			v0:779899
		}
	]

After prepareDataFunction the data will look like this:

        {
            member:"Australia",
            value:1372281
        },
        {
            member:"France",
            value:1117794
        },
        {
            member:"Germany",
            value:1070453
        },
        {
            member:"Canada",
            value:1034112
        },
        {
            member:"United States",
            value:847331
        },
        {
            member:"United Kingdom",
            value:779899
        }

The drawChart function draws a chart using the processed data. In our JSFiddle example, the logic of drawing is the same as in the d3.js example. The updateChart function works similarly but clears the SVG first.