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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()

Jadual 1.5 Bilangan Staf Akademik Mengikut...

URL: https://archive.data.gov.my/data/dataset/0e511bbd-e42e-4b3f-9bc8-832d6551a0ca/resource/4b2456e1-26e4-44e2-857b-a07cd6641563/download/jadual-1.5-bilangan-staf-akademik-mengikut-jantina-dan-kelulusan-tertinggi-berdasarkan-ipt-bagi.xlsx

Jadual 1.5 Bilangan Staf Akademik Mengikut Jantina dan Kelulusan Tertinggi Berdasarkan IPT bagi tahun 2017

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Data Dictionary

Column	Type	Label	Description
Tahap Kelulusan Level of Studies	text
Kategori IPT HEIs Category	text
Staf Akademik Academic Staff	text

Additional Information

Field	Value
Data last updated	July 30, 2018
Metadata last updated	February 1, 2021
Created	July 30, 2018
File Format	XLSX
License	Creative Commons Attribution

Openness:
Reason: Content of file appeared to be format "XLS" which receives openness score: 2.
Checked: August 22, 2020

CKAN Data API

Jadual 1.5 Bilangan Staf Akademik Mengikut...

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Data Dictionary

Additional Information