1. API reference
  2. Welcome
    1. Component overview
    2. Quick start
    3. System requirements
    4. Troubleshooting
    5. Managing license keys
  3. Connecting to Data Source
    1. JSON
      1. Connecting to JSON
      2. Data types in JSON
    2. CSV
      1. Connecting to CSV
      2. Connecting to CSV using the Data Compressor
      3. Data types in CSV
    3. Database
      1. Connecting to SQL databases
      2. Connecting to other databases
      3. Connecting to a database with Node.js
      4. Connecting to a database with .NET
      5. Connecting to a database with .NET Core
      6. Connecting to a database with Java
      7. Connecting to a database with PHP
    4. 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
    5. Pentaho Mondrian
      1. Connecting to Pentaho Mondrian
      2. Getting started with Accelerator
      3. Configuring Mondrian roles
      4. Сonfiguring username/password protection
      5. Сonfiguring secure HTTPS connection
      6. Troubleshooting
    6. icCube
  4. Security
    1. Accelerator security
    2. Data Compressor Security
  5. Configuring report
    1. What is a report
    2. Data source
    3. Slice
    4. Options
    5. Number formatting
    6. Conditional formatting
    7. Set report to the component
    8. Get report from the component
    9. Date and time formatting
    10. Configuring global options
    11. Export and print
    12. Calculated values
    13. Custom sorting
  6. Integration with frameworks
    1. Available tutorials
    2. Integration with AngularJS (v1.x)
    3. Integration with Angular
    4. Integration with React
    5. Integration with Webpack
    6. Integration with ASP.NET
    7. Integration with jQuery
    8. Integration with JSP
    9. Integration with TypeScript
    10. Integration with RequireJS
    11. Integration with PhoneGap
  7. Integration with charts
    1. Integration with Highcharts
    2. Integration with Google Charts
    3. Integration with FusionCharts
    4. Integration with any charting library
  8. Customizing
    1. Customizing toolbar
    2. Customizing appearance
    3. Customizing context menu
    4. Localizing component
  9. Updating to the latest version
    1. Updating to the latest version
    2. Release notes
    3. Migration guide from 2.5 to 2.6
    4. Migration guide from 2.4 to 2.5
    5. Migration guide from 2.3 to 2.4
    6. Migration guide from 2.2 to 2.3
    7. Documentation for older versions
Table of contents

Connecting to CSV

This article illustrates how to build a report based on a CSV data source. A CSV data source is commonly used to display data exported from other sources (for example from Excel). Alternatively, you can load CSV data from a file (see Connect > To local CSV in the Toolbar), refer to a remote CSV file, or add data generated by a server-side script.

Complete the following steps to use CSV data as a data source in the pivot table embedded in your project.

  1. Set up an empty component in your HTML page. If Flexmonster is not yet embedded – return to Quick start. Your code should look similar to the following example:

    <div id="pivotContainer">The component will appear here</div>
    <script src="flexmonster/flexmonster.js"></script>
    <script>
    	var pivot = new Flexmonster({
    		container: "pivotContainer",
    		toolbar: true,
    		licenseKey: "XXXX-XXXX-XXXX-XXXX-XXXX"
    	});
    </script>
    
  2. For this example we will use a CSV file called data.csv. For simplicity, copy this file to the flexmonster/ folder.
    Category,Size,Color,Destination,Business Type,Country,Price,Quantity,Discount
    Accessories,262 oz,red,Australia,Specialty Bike Shop,Australia,174,225,23
    Accessories,214 oz,yellow,Canada,Specialty Bike Shop,Canada,502,90,17
    Accessories,147 oz,white,France,Specialty Bike Shop,France,242,855,37
    Accessories,112 oz,yellow,Germany,Specialty Bike Shop,Germany,102,897,42
  3. Add the filename property to the report object:
    <div id="pivotContainer">The component will appear here</div>
    <script src="flexmonster/flexmonster.js"></script>
    
    <script>
    	var pivot = new Flexmonster({
    		container: "pivotContainer",
    		toolbar: true,
    		report: {
    			dataSource: {
    				filename: "data.csv"
    			}
    		},
    		licenseKey: "XXXX-XXXX-XXXX-XXXX-XXXX"
    	});
    </script>
  4. Define a slice – fields that go to rows, go to columns and go to measures:
    <div id="pivotContainer">The component will appear here</div>
    <script src="flexmonster/flexmonster.js"></script>
    
    <script>
    	var pivot = new Flexmonster({
    		container: "pivotContainer",
    		toolbar: true,
    		report: {
    			dataSource: {
    				filename: "data.csv"
    			},
    			slice: {
    				rows: [
    				{ uniqueName: "Color" },
    				{ uniqueName: "[Measures]" }
    				],
    				columns: [
    				{ uniqueName: "Country" }
    				],
    				measures: [
    				{ uniqueName: "Price", aggregation: "sum" }
    				]
    			}
    		},
    		licenseKey: "XXXX-XXXX-XXXX-XXXX-XXXX"
    	});
    </script>
  5. Now launch the page from the browser — there you go! A pivot table based on CSV data is embedded into your project. Open this example on JSFiddle.

Now you know how to build a report based on our sample CSV. The next step for you is to visualize your CSV data.

How to display non-English characters correctly

If you use an alphabet with special characters you must use UTF-8 encoding. There are two ways to do this:

  1. Specify the encoding for your HTML page to UTF-8 using the content-type HTTP header or the corresponding meta tag:
    <meta http-equiv="content-type" content="text/html; charset=utf-8" />
    Content from a database and static CSV files also must be encoded as UTF-8.
  2. If you are not able to change the content of your HTML file, you can embed Flexmonster Pivot in a separate JS file with specified UTF-8 encoding.
    <script src="yourfile.js" charset="UTF-8"></script>

What’s next?