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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()

Unjuran Hujan Bagi Seluruh Kawasan di...

URL: https://archive.data.gov.my/data/dataset/c37c47cb-070c-4419-a29a-9222c0f6d09a/resource/b82bc7d2-c30e-4b71-9620-5ab00a18506b/download/1-annual-minimum-pmprecip1970-2096.nc

Fail berformat .nc (NetCDF-Network Common Data Form). Boleh dibuka dengan menggunakan library NetCDF dan Climate Data Operator (CDO) memalui command prompt. Library neCDF dab CDO boleh dimuat turun secara percuma di laman sesawang.

Dataset ini adalah hasil simulasi permodelan hidro-iklim yang dijalankan oleh NAHRIM pada tahun 2013 menggunakan model PRECIS dari United Kingdom Meteorological Office. Data set ini bermula 1970-2096 dan disediakan dalam bentuk statistik bulanan dan tahunan.

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Data Dictionary

Column	Jenis	Label	Keterangan

Maklumat Tambahan

Ruangan	Nilai
Tarikh Data Dikemaskini	17 Ogos 2018
Tarikh Metadata Dikemaskini	17 Ogos 2018
Tarikh Dicipta	17 Ogos 2018
Format Fail	nc
Lesen	Creative Commons Attribution

Openness:
Reason: Content of file appeared to be format "BIN" which receives openness score: 1.
Checked: 22 Ogos 2020

CKAN Data API

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Data Dictionary

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