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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()

Perangkaan Tanaman Industri di Negeri...

URL: https://archive.data.gov.my/data/dataset/df0a85da-9a43-4e2f-88f4-36aef2465ffe/resource/c652e54d-0910-42a3-82aa-ad18ce93b345/download/22-kelantan-perangkaan-tanaman-industri-2015-dan-2016.xls

Set data yang mengandungi maklumat perangkaan tanaman industri berdasarkan kepada bilangan peserta, luas bertanam, luas berhasil, pengeluaran dan nilai pengeluaran mengikut jajahan di Negeri Kelantan pada tahun 2015 dan 2016.

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Data Dictionary

Column	Jenis	Label	Keterangan

Maklumat Tambahan

Ruangan	Nilai
Tarikh Data Dikemaskini	10 September 2018
Tarikh Metadata Dikemaskini	11 September 2018
Tarikh Dicipta	11 September 2018
Format Fail	XLSX
Lesen	Creative Commons Attribution

CKAN Data API

Perangkaan Tanaman Industri di Negeri...

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Data Dictionary

Maklumat Tambahan