DataSet documentation

Overview
Example
Construction
Methods
Subscriptions
Data Manipulation
Data Selection
Data Policy

Overview

Vis.js comes with a flexible DataSet, which can be used to hold and manipulate unstructured data and listen for changes in the data. The DataSet is key/value based. Data items can be added, updated and removed from the DatSet, and one can subscribe to changes in the DataSet. The data in the DataSet can be filtered and ordered, and fields (like dates) can be converted to a specific type. Data can be normalized when appending it to the DataSet as well.

Example

The following example shows how to use a DataSet.

// create a DataSet
var options = {};
var data = new vis.DataSet(options);

// add items
// note that the data items can contain different properties and data formats
data.add([
  {id: 1, text: 'item 1', date: new Date(2013, 6, 20), group: 1, first: true},
  {id: 2, text: 'item 2', date: '2013-06-23', group: 2},
  {id: 3, text: 'item 3', date: '2013-06-25', group: 2},
  {id: 4, text: 'item 4'}
]);

// subscribe to any change in the DataSet
data.on('*', function (event, properties, senderId) {
  console.log('event', event, properties);
});

// update an existing item
data.update({id: 2, group: 1});

// remove an item
data.remove(4);

// get all ids
var ids = data.getIds();
console.log('ids', ids);

// get a specific item
var item1 = data.get(1);
console.log('item1', item1);

// retrieve a filtered subset of the data
var items = data.get({
  filter: function (item) {
    return item.group == 1;
  }
});
console.log('filtered items', items);

// retrieve formatted items
var items = data.get({
  fields: ['id', 'date'],
  type: {
    date: 'ISODate'
  }
});
console.log('formatted items', items);

Construction

A DataSet can be constructed as:

var data = new vis.DataSet([data] [, options])

After construction, data can be added to the DataSet using the methods add and update, as described in section Data Manipulation.

The parameter datacode> is optional and can be an Array or Google DataTable with items.

The parameter options is optional and is an object which can contain the following properties:

Name	Type	Default value	Description
fieldId	String	"id"	The name of the field containing the id of the items. When data is fetched from a server which uses some specific field to identify items, this field name can be specified in the DataSet using the option `fieldId`. For example CouchDB uses the field `"_id"` to identify documents.
type	Object.<String, String>	none	An object containing field names as key, and data types as value. By default, the type of the properties of items are left unchanged. Item properties can be normalized by specifying a field type. This is useful for example to automatically convert stringified dates coming from a server into JavaScript Date objects. The available data types are listed in section Data Types.

Methods

DataSet contains the following methods.

Method	Return Type	Description
add(data [, senderId])	Number[]	Add data to the DataSet. Adding an item will fail when there already is an item with the same id. The function returns an array with the ids of the added items. See section Data Manipulation.
clear([senderId])	Number[]	Clear all data from the DataSet. The function returns an array with the ids of the removed items.
distinct(field)	Array	Find all distinct values of a specified field. Returns an unordered array containing all distinct values. If data items do not contain the specified field are ignored.
forEach(callback [, options])	none	Execute a callback function for every item in the dataset. The available options are described in section Data Selection.
get([options] [, data]) get(id [,options] [, data]) get(ids [, options] [, data])	Object \| Array \| DataTable	Get a single item, multiple items, or all items from the DataSet. Usage examples can be found in section Getting Data, and the available `options` are described in section Data Selection. If parameter `data` isprovided, items will be appended to this array or table, which is required in case of Google DataTable.
getIds([options])	Number[]	Get ids of all items or of a filtered set of items. Available `options` are described in section Data Selection, except that options `fields` and `type` are not applicable in case of `getIds`.
map(callback [, options])	Array	Map every item in the DataSet. The available options are described in section Data Selection.
max(field)	Object \| null	Find the item with maximum value of specified field. Returns `null` if no item is found.
min(field)	Object \| null	Find the item with minimum value of specified field. Returns `null` if no item is found.
off(event, callback)	none	Unsubscribe from an event, remove an event listener. See section Subscriptions.
on(event, callback)	none	Subscribe to an event, add an event listener. See section Subscriptions.
remove(id [, senderId]) remove(ids [, senderId])	Number[]	Remove on ore multiple items by id or by the items themselves. Returns an array with the ids of the removed items. See section Data Manipulation.
update(id [, senderId]) update(ids [, senderId])	Number[]	Update on ore existing items. When an item doesn't exist, it will be created. Returns an array with the ids of the removed items. See section Data Manipulation.

Subscriptions

One can subscribe on changes in a DataSet. A subscription can be created using the method on, and removed with off.

// create a DataSet
var data = new vis.DataSet();

// subscribe to any change in the DataSet
data.on('*', function (event, properties, senderId) {
  console.log('event:', event, 'properties:', properties, 'senderId:', senderId);
});

// add an item
data.add({id: 1, text: 'item 1'});              // triggers an 'add' event
data.update({id: 1, text: 'item 1 (updated)'}); // triggers an 'update' event
data.remove(1);                                 // triggers an 'remove' event

On

Subscribe to an event.

Syntax:

DataSet.on(event, callback)

Where:

event is a String containing any of the events listed in section Events.
callback is a callback function which will be called each time the event occurs. The callback function is described in section Callback.

Off

Unsubscribe from an event.

Syntax:

DataSet.off(event, callback)

Where event and callback correspond with the parameters used to subscribe to the event.

Events

The following events are available for subscription:

Event	Description
add	The `add` event is triggered when an item or a set of items is added, or when an item is updated while not yet existing.
update	The `update` event is triggered when an existing item or a set of existing items is updated.
remove	The `remove` event is triggered when an item or a set of items is removed.
*	The `*` event is triggered when any of the events `add`, `update`, and `remove` occurs.

Callback

The callback functions of subscribers are called with the following parameters:

function (event, properties, senderId) {
  // handle the event
});

where the parameters are defined as

Parameter	Type	Description
event	String	Any of the available events: `add`, `update`, or `remove`.
properties	Object \| null	Optional properties providing more information on the event. In case of the events `add`, `update`, and `remove`, `properties` is always an object containing a property items, which contains an array with the ids of the affected items.
senderId	String \| Number	An senderId, optionally provided by the application code which triggered the event. If senderId is not provided, the argument will be `null`.

Data Manipulation

The data in a DataSet can be manipulated using the methods add, update, and remove. The DataSet can be emptied using the method clear.

// create a DataSet
var data = new vis.DataSet();

// add items
data.add([
  {id: 1, text: 'item 1'},
  {id: 2, text: 'item 2'},
  {id: 3, text: 'item 3'}
]);

// update an item
data.update({id: 2, text: 'item 2 (updated)'});

// remove an item
data.remove(3);

Add

Add a data item or an array with items.

Syntax:

var addedIds = DataSet.add(data [, senderId])

The argument data can contain:

An Object containing a single item to be added. The item must contain an id.
An Array or google.visualization.DataTable containing a list with items to be added. Each item must contain an id.

After the items are added to the DataSet, the DataSet will trigger an event add. When a senderId is provided, this id will be passed with the triggered event to all subscribers.

The method will throw an Error when an item with the same id as any of the added items already exists.

Update

Update a data item or an array with items.

Syntax:

var updatedIds = DataSet.update(data [, senderId])

The argument data can contain:

An Object containing a single item to be updated. The item must contain an id.
An Array or google.visualization.DataTable containing a list with items to be updated. Each item must contain an id.

The provided properties will be merged in the existing item. When an item does not exist, it will be created.

After the items are updated, the DataSet will trigger an event add for the added items, and an event update. When a senderId is provided, this id will be passed with the triggered event to all subscribers.

Remove

Remove a data item or an array with items.

Syntax:

var removedIds = DataSet.remove(id [, senderId])

The argument id can be:

A Number or String containing the id of a single item to be removed.
An Object containing the item to be deleted. The item will be deleted by its id.
An Array containing ids or items to be removed.

The method ignores removal of non-existing items, and returns an array containing the ids of the items which are actually removed from the DataSet.

After the items are removed, the DataSet will trigger an event remove for the removed items. When a senderId is provided, this id will be passed with the triggered event to all subscribers.

Clear

Clear the complete DataSet.

Syntax:

var removedIds = DataSet.clear([senderId])

After the items are removed, the DataSet will trigger an event remove for all removed items. When a senderId is provided, this id will be passed with the triggered event to all subscribers.

Data Selection

The DataSet contains functionality to format, filter, and sort data retrieved via the methods get, getIds, forEach, and map. These methods have the following syntax:

DataSet.get([id] [, options] [, data]);
DataSet.getIds([options]);
DataSet.forEach(callback [, options]);
DataSet.map(callback [, options]);

Where options is an Object which can have the following properties:

Name	Type	Description
fields	String[ ]	An array with field names. By default, all properties of the items are emitted. When `fields` is defined, only the properties whose name is specified in `fields` will be included in the returned items.
type	Object.<String, String>	An object containing field names as key, and data types as value. By default, the type of the properties of an item are left unchanged. When a field type is specified, this field in the items will be converted to the specified type. This can be used for example to convert ISO strings containing a date to a JavaScript Date object, or convert strings to numbers or vice versa. The available data types are listed in section Data Types.
filter	Function	Items can be filtered on specific properties by providing a filter function. A filter function is executed for each of the items in the DataSet, and is called with the item as parameter. The function must return a boolean. All items for which the filter function returns true will be emitted. See section Data Filtering.
order	String \| Function	Order the items by a field name or custom sort function.

The following example demonstrates formatting properties and filtering properties from items.

// create a DataSet
var data = new vis.DataSet();
data.add([
  {id: 1, text: 'item 1', date: '2013-06-20', group: 1, first: true},
  {id: 2, text: 'item 2', date: '2013-06-23', group: 2},
  {id: 3, text: 'item 3', date: '2013-06-25', group: 2},
  {id: 4, text: 'item 4'}
]);

// retrieve formatted items
var items = data.get({
  fields: ['id', 'date', 'group'],    // output the specified fields only
  type: {
    date: 'Date',                   // convert the date fields to Date objects
    group: 'String'                 // convert the group fields to Strings
  }
});

Getting Data

Data can be retrieved from the DataSet using the method get. This method can return a single item or a list with items.

A single item can be retrieved by its id:

var item1 = dataset.get(1);

A selection of items can be retrieved by providing an array with ids:

var items = dataset.get([1, 3, 4]); // retrieve items 1, 3, and 4

All items can be retrieved by simply calling get without specifying an id:

var items = dataset.get();          // retrieve all items

Data Filtering

Items can be filtered on specific properties by providing a filter function. A filter function is executed for each of the items in the DataSet, and is called with the item as parameter. The function must return a boolean. All items for which the filter function returns true will be emitted.

// retrieve all items having a property group with value 2
var group2 = dataset.get({
  filter: function (item) {
    return (item.group == 2);
  }
});

// retrieve all items having a property balance with a value above zero
var positiveBalance = dataset.get({
  filter: function (item) {
    return (item.balance > 0);
  }
});

Data Types

DataSet supports the following data types:

Name	Description	Examples
Boolean	A JavaScript Boolean	`true` `false`
Number	A JavaScript Number	`32` `2.4`
String	A JavaScript String	`"hello world"` `"2013-06-28"`
Date	A JavaScript Date object	`new Date()` `new Date(2013, 5, 28)` `new Date(1372370400000)`
Moment	A Moment object, created with moment.js	`moment()` `moment('2013-06-28')`
ISODate	A string containing an ISO Date	`new Date().toISOString()` `"2013-06-27T22:00:00.000Z"`
ASPDate	A string containing an ASP Date	`"/Date(1372370400000)/"` `"/Date(1198908717056-0700)/"`

Data Policy

All code and data is processed and rendered in the browser. No data is sent to any server.

DataSet documentation

Contents

Overview

Example

Construction

Methods

Subscriptions

On

Off

Events

Callback

Data Manipulation

Add

Update

Remove

Clear

Data Selection

Getting Data

Data Filtering

Data Types

Data Policy