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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()

Kadar Penginapan Rumah Transit Bagi Tahun 2017...

URL: https://archive.data.gov.my/data/dataset/18c93390-5167-4543-8e59-8fcb5f9b677e/resource/554f32dc-e863-4328-9b58-58eaa16bfebb/download/kadar-penginapan-rumah-transit-bagi-tahun-2017-waktu-puncak.csv

Kadar Penginapan Rumah Transit Bagi Tahun 2017 (Waktu Puncak)

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Data Dictionary

Column	Jenis	Label	Keterangan
Lokasi	text
Januari	text
Februari	text
Mac	text
April	text
Mei	text
Jun	text
Julai	text
Ogos	text
September	text
Oktober	text
November	text
Disember	text

Maklumat Tambahan

Ruangan	Nilai
Tarikh Data Dikemaskini	18 Oktober 2019
Tarikh Metadata Dikemaskini	15 Februari 2021
Tarikh Dicipta	18 Oktober 2019
Format Fail	CSV
Lesen	Creative Commons Attribution

Openness:
Reason: Content of file appeared to be format "CSV" which receives openness score: 3.
Checked: 22 Ogos 2020

CKAN Data API

Kadar Penginapan Rumah Transit Bagi Tahun 2017...

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Data Dictionary

Maklumat Tambahan