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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()

Jumlah Sekolah Bagi Pelaksanaan Projek...

URL: https://archive.data.gov.my/data/dataset/b981049e-104a-4c87-a9c5-924325749a1a/resource/65ba5c27-d4b9-4e5c-a8d1-dac1b3c4de2e/download/data-daif-20191031-dihantar-ke-portal-open-data.csv

Memaparkan jumlah sekolah bagi pelaksanaan projek pembangunan semula sekolah daif bagi tahun 2017 – 2019 mengikut negeri.

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Data Dictionary

Column	Jenis	Label	Keterangan

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Ruangan	Nilai
Tarikh Data Dikemaskini	31 Oktober 2019
Tarikh Metadata Dikemaskini	31 Oktober 2019
Tarikh Dicipta	31 Oktober 2019
Format Fail	CSV
Lesen	Creative Commons Attribution

CKAN Data API

Jumlah Sekolah Bagi Pelaksanaan Projek...

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Data Dictionary

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