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  1. API reference
  2. Welcome
    1. Introduction
    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. Angular
      1. Integration with Angular
      2. Flexmonster usage in Angular
    3. React
      1. Integration with React
      2. Flexmonster usage in React
    4. Vue
      1. Integration with Vue 2
      2. Flexmonster usage in Vue 2
      3. Integration with Vue 3
      4. Flexmonster usage in Vue 3
    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. Managing data presentation in JSON
    3. CSV
      1. Connecting to CSV
      2. Connecting to CSV using Flexmonster Data Server
      3. Managing data presentation 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. 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. Saving component configs
    1. Save and restore the report
    2. Share the report
    3. Export and print
  8. 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
  9. 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
  10. 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
  11. 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
  12. Flexmonster CLI Reference
    1. Overview
    2. Troubleshooting the CLI
    3. flexmonster create
    4. flexmonster add
    5. flexmonster update
    6. flexmonster version
    7. flexmonster help
  13. Documentation for older versions
Table of contents

Managing data presentation in CSV

This guide explains how to customize data presentation and structure using mapping

With the mapping, you can:

For more details, see our mapping guide. You can also migrate from CSV prefixes to the mapping.

Set data types

To set data types for a CSV data source, specify the mapping as follows:

report: {
	dataSource: {
		filename: "data.csv",
		mapping: {
			"Date": {
				type: "date string"
			},
			"Evaporation": {
				type: "string"
			},
			"Rainfall": {
				type: "number"
			}
		}
	}
}

See a live sample on JSFiddle.

Refer to mapping properties for the full list of available data types.

Configure multilevel hierarchies

To create multilevel hierarchies from non-hierarchical data, use hierarchy and parent properties in the mapping:

report: {
	dataSource: {
		filename: "data.csv",
		mapping: {
			"Region": {
				hierarchy: "Geography"
			},
			"State": {
				parent: "Region",
				hierarchy: "Geography"
			},
			"City": {
				parent: "State",
				hierarchy: "Geography"
			}
		}
	}
}

See a live sample on JSFiddle.

Hide a specific field

To hide a field from the dataset, set its visible property to false:

report: {
	dataSource: {
		filename: "data.csv",
		mapping: {
			"Size": {
				visible: false
			}
		}
	}
}

See a live sample on JSFiddle.

Specify available aggregations for a field

To define which aggregations are available for a field, specify its mapping like this:

report: {
	dataSource: {
		filename: "data/data.csv",
		mapping: {
			"Price": {
				aggregations: ["max", "min"]
			}
		}
	}
}

See a live sample on JSFiddle.

More configurations

Learn more about mapping’s features from this guide: Mapping.

If you are using column prefixes to set data types in CSV, you can migrate from CSV prefixes to the mapping.

Migrating from CSV prefixes to the MappingObject

For easy migration from CSV prefixes to the mapping, see the migration table below:

CSV prefix Mapping type Description
+ "string" The field is a dimension.
- "number" The field is a value.
m+ "month" The field stores months.
w+ "weekday" The field stores days of the week.
d+ "date" The field stores a date. The field of this type is split into 3 different fields: Year, Month, and Day.
D+ "year/month/day" The field stores a date. It’s displayed as a multilevel hierarchy with the following levels: Year > Month > Day.
D4+ "year/quarter/month/day" The field is a date. It’s displayed as a multilevel hierarchy with the following levels: Year > Quarter > Month > Day.
ds+ "date string" The field stores a date. It can be formatted using the datePattern option (default is "dd/MM/yyyy").
t+ "time" The field stores time.
dt+ "datetime" The field stores a date. It can be formatted using the dateTimePattern option (default is "dd/MM/yyyy HH:mm:ss").
id+ "id" The field is an id. The field of this type can be used for editing data. It’s not shown in the Field List.

What’s next?

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