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Access resource data via a web API with powerful query support. Further information in the main CKAN Data API and DataStore documentation.

Endpoints »

The Data API can be accessed via the following actions of the CKAN action API.

Create	`https://www.data.gov.my/data/api/3/action/datastore_create`
Update / Insert	`https://www.data.gov.my/data/api/3/action/datastore_upsert`
Query	`https://www.data.gov.my/data/api/3/action/datastore_search`
Query (via SQL)	`https://www.data.gov.my/data/api/3/action/datastore_search_sql`

Querying »

Query example (first 5 results)

https://www.data.gov.my/data/api/3/action/datastore_search?limit=5&resource_id=2903e39a-dde6-4053-818e-ebdb8066d8b7

Query example (results containing 'jones')

https://www.data.gov.my/data/api/3/action/datastore_search?q=jones&resource_id=2903e39a-dde6-4053-818e-ebdb8066d8b7

Query example (via SQL statement)

https://www.data.gov.my/data/api/3/action/datastore_search_sql?sql=SELECT * from "2903e39a-dde6-4053-818e-ebdb8066d8b7" WHERE title LIKE 'jones'

Example: Javascript »

A simple ajax (JSONP) request to the data API using jQuery.

        var data = {
          resource_id: '2903e39a-dde6-4053-818e-ebdb8066d8b7', // the resource id
          limit: 5, // get 5 results
          q: 'jones' // query for 'jones'
        };
        $.ajax({
          url: 'https://www.data.gov.my/data/api/3/action/datastore_search',
          data: data,
          dataType: 'jsonp',
          success: function(data) {
            alert('Total results found: ' + data.result.total)
          }
        });

Example: Python »

      import urllib
      url = 
'https://www.data.gov.my/data/api/3/action/datastore_search?limit=5&resource_id=2903e39a-dde6-4053-818e-ebdb8066d8b7&q=title:jones'
      fileobj = urllib.urlopen(url)
      print fileobj.read()

2018 2022 Data Statistik Penceraian Ng Perak JAIPk

URL: https://archive.data.gov.my/data/dataset/e227a689-48c0-495b-9d23-888bc1444174/resource/9a0661b3-7cb7-4e22-9b65-31039b315e41/download/12220022_202301031226280_2018-2022-data-statistik-penceraian-ng-perak-jaipk.csv

Statistik Pendaftaran Penceraian mengikut Kumpulan Umur Negeri Perak Tahun 2018-2022

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Data Dictionary

Column	Jenis	Label	Keterangan
TAHUN	text
DAERAH	text
UMUR 18 HINGGA 30 TAHUN	text
UMUR 31 HINGGA 50 TAHUN	text
UMUR 51 HINGGA 70 TAHUN	text
UMUR 71 TAHUN KEATAS	text

Maklumat Tambahan

Ruangan	Nilai
Tarikh Data Dikemaskini	3 Januari 2023
Tarikh Metadata Dikemaskini	3 Januari 2023
Tarikh Dicipta	3 Januari 2023
Format Fail	CSV
Lesen	Creative Commons Attribution

CKAN Data API

2018 2022 Data Statistik Penceraian Ng Perak JAIPk

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Data Dictionary

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