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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()

dataset

URL: https://archive.data.gov.my/data/dataset/1e38014b-94b1-4566-8afb-077d41e66587/resource/3cfc66fe-3bb6-47e4-a940-4e80b52a9adc/download/m-20221026043007_202210260430070_gross-value-added-of-e-commerce-by-main-sector-2015-2021_datase.csv

This dataset shows the Gross Value Added of e-Commerce by Main Sector, 2015 - 2021

The value for year 2020 is estimate The value for year 2021 is preliminary

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Data Dictionary

Column	Jenis	Label	Keterangan
Year	text
Base Year	text
Sector	text
Value	text

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Ruangan	Nilai
Tarikh Data Dikemaskini	27 Oktober 2022
Tarikh Metadata Dikemaskini	27 Oktober 2022
Tarikh Dicipta	27 Oktober 2022
Format Fail	CSV
Lesen	Creative Commons Attribution

CKAN Data API

dataset

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Data Dictionary

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