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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 Google Charts

This tutorial will help you integrate Flexmonster with the Google Charts charting library.

This guide contains the following sections:

Supported chart types

Flexmonster supports the following Google chart types:

If the chart type that you want to use is not on the list, it is possible to use prepareDataFunction to preprocess the data to fit your preferences.

Adding Google Charts

  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: "[Measures]" }
    ],
    measures: [
    { uniqueName: "Price" }
    ]
    }
    },
    licenseKey: "XXXX-XXXX-XXXX-XXXX-XXXX"
    });
    </script>
  2. Add Google Charts:
    <script src="https://www.gstatic.com/charts/loader.js"></script> 
  3. Add our connector for Google Charts:
    <script src="https://cdn.flexmonster.com/lib/flexmonster.googlecharts.js"></script> 
  4. Add a container for the chart:
    <div id="googlechartContainer"></div> 
  5. Add a reportComplete event handler to know when the pivot table is ready to be a data provider:
    reportcomplete: function() {
    pivot.off("reportcomplete");
    pivotTableReportComplete = true;
    createGoogleChart();
    }
  6. Add a function to create the chart. This function uses a connector for Google Charts from flexmonster.googlecharts.js. The connector extends the Flexmonster API with the following call: googlecharts.getData(options, callbackHandler, updateHandler).
    var pivotTableReportComplete = false;
    var googleChartsLoaded = false;

    google.charts.load('current', {'packages':['corechart']});
    google.charts.setOnLoadCallback(onGoogleChartsLoaded);

    function onGoogleChartsLoaded() {
    googleChartsLoaded = true;
    if (pivotTableReportComplete) {
    createGoogleChart();
    }
    }

    function createGoogleChart() {
    if (googleChartsLoaded) {
    pivot.googlecharts.getData({ type: "column" },
    drawChart,
    drawChart
    );
    }
    }

    function drawChart(chartConfig) {
    var data = google.visualization.arrayToDataTable(chartConfig.data);
    var options = {
    title: chartConfig.options.title,
    height: 300
    };
    var chart = new google.visualization
    .ColumnChart(document.getElementById('googlechartContainer'));
    chart.draw(data, options);
    }

You will see a column chart that displays the same data that is shown in the pivot pivot table instance and it will react to updates. Check out a live example on JSFiddle.

Flexmonster Connector for Google Charts

flexmonster.googlecharts.js is a connector between our component and Google Charts. The googlecharts.getData() method requests data from the pivot table and preprocesses it to the appropriate format for the required type of chart.

googlecharts.getData(options:Object, callbackHandler:Function, updateHandler:Function) has the following parameters:

  • options – Object. This object has the following properties:
    • type (optional) – String. The chart type to prepare data for. Possible values: "area", "bar", "column", "line", "pie", "sankey". If the type is not specified, the data will be prepared the same way as for "sankey".
    • slice (optional) – Object. Defines the slice from which the data should be returned (for JSON and CSV data sources only). If not defined, the API call will return data currently displayed in the pivot table.
      function createGoogleChart() {
      if (googleChartsLoaded) {
      pivot.googlecharts.getData(
      {
      slice: {
      rows: [{uniqueName: "Country"}],
      columns: [{uniqueName: "[Measures]"}],
      measures: [{uniqueName: "Quantity"}]
      }
      },
      drawChart,
      drawChart
      );
      }
      }
    • prepareDataFunction (optional) – An external function. If the connector does not include the necessary type of chart or if you need to preprocess the data differently, use this function. prepareDataFunction takes two input parameters: rawData – the raw data (check out the structure of rawData in getData()); options – an object with options set in googlecharts.getData(). Check out the example on JSFiddle based on the data preprocessed with this external function. One more example illustrates how the data can be prepared to show the deepest drill-down level on Google Column Chart.
  • callbackHandler – Function. Specifies what will happen once the data is ready. Additional options can be specified and then data can be passed directly to the charting library. Takes two input parameters – chartConfig and rawData (rawData is passed just in case you need it, for example for defining number formatting in the tooltip).
  • updateHandler (optional) – Function. Takes two input parameters – chartConfig and rawData. Specifies what will happen once data in the pivot table is filtered/sorted/etc or a number format is changed.

The connector has several functions for defining number formatting for Google Charts. All these functions take the pivot table format object and return the formatting string in Google Charts format.

  • googlecharts.getNumberFormat(format) – Object. Takes the pivot table format object and returns a format object for number formatting in Google Charts. This object can be used to format columns in DataTable.
  • googlecharts.getNumberFormatPattern(format) – Object. Takes the pivot table format object and returns a Google Charts format pattern. This pattern can be used to format axes.

These functions can be used in callbackHandler and updateHandler to define a number formatting for axes and tooltips. Try it in JSFiddle.