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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()

Statistik Kes Kebankrapan Mengikut Golongan Umur

URL: https://archive.data.gov.my/data/dataset/80473b9a-b90c-49d6-98ab-0e2a82b0bdce/resource/747bbca6-8fd8-40f7-86d6-deffd42ae244/download/09mdijumlah-kes-kebankrapan-mengikut-golongan-umur.xlsx

Statistik Kes Kebankrapan Mengikut Golongan Umur Tahun 2014 - 2018

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Data Dictionary

Column	Type	Label	Description
Tahun	numeric
Bawah Umur 25 Tahun	numeric
25-34 Tahun	numeric
35-44 Tahun	numeric
45-54 Tahun	numeric
55 Tahun Dan Ke Atas	numeric
Tiada Maklumat	numeric

Additional Information

Field	Value
Data last updated	October 9, 2019
Metadata last updated	April 7, 2021
Created	October 9, 2019
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

Statistik Kes Kebankrapan Mengikut Golongan Umur

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Data Dictionary

Additional Information