Data Modifiers

The data comes in different shapes and sizes from all over the internet, so there needs to be a way of adjusting its format so that it is accessible to the Dashboards. Instead of manually parsing the data, there is an option to use the DataModifiers. Those modifiers allow the user to modify the data on the initial load, as well as the end user to modify visible data through the GUI. Each of the modifiers is accessible through the main Dashboards package, except for the MathModifier which is the most complex one, and requires loading a separate module from Each of the modifiers is available to connect to every type of connector.

Where the modifier is defined?

The modifier is attached to the connector that is defined in the dataPool, in its options.

Types of modifiers

The types of modifiers that are available are:

  • Chain
  • Range
  • Invert
  • Math

How to add the modifier?

To add the modifier, you need to specify it in the options of the connector.

connector: {
type: 'CSV',
id: 'connector-id',
options: {
//... other options
dataModifier: {
type: 'Math' // or 'Invert'|'Math' etc,
// additional modifier options

The modifier modifies the table.modified property of the connector, which leaves the original data unchanged so that there is a way of restoring the original data if needed.

What does each of the modifiers do?

Here is a brief description of each of the modifiers:

  • Chain - Allows to combine multiple modifiers in the same connector. This is useful, if you need to perform multiple operations on the same dataset. In the chain property you can define the order and configuration objects of the modifiers, that should be applied to the modifier. Here is an example usage of this modifier:
dataModifier: {
type: 'Chain',
chain: [{
// ... Another modifier options
}, {
// ... Another modifier options
  • Range - Can be used to filter the data by minimal and maximal value. It works both for numbers as well as alphanumerical values. The column option specifies, from which column the values should be used to perform a filtering, and the minValue and maxValue specify the range limits. Here is an example:
dataModifier: {
type: 'Range',
ranges: [{
column: 'year',
minValue: '1961',
maxValue: '2021'
  • Invert - Allows to flip the data, and replace the columns with rows. This comes in handy, when you data is structured by rows and you want to present it by columns. No other options need to be specified here. Example:
dataModifier: {
type: 'Invert'
  • Math - This is the only modifier, that comes in the separate module. It allows performing complex math calculations and adding columns of values that are calculated based on the existing values. It uses commands similar to those, that you can find in spreadsheets like Excel. You can read more in the MathModifier Article. Example:
dataModifier: {
type: 'Math',
columnFormulas: [{
column: 'USD',
formula: 'B1*C1' // Multiply EUR (B1) with the rate (C1)

Example demos

You can check the modifiers in action with the following demos:

DataGrid with MathModifier

Parsing the data in CSV using different modifiers