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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	Jenis	Label	Keterangan
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

Maklumat Tambahan

Ruangan	Nilai
Tarikh Data Dikemaskini	9 Oktober 2019
Tarikh Metadata Dikemaskini	7 April 2021
Tarikh Dicipta	9 Oktober 2019
Format Fail	XLSX
Lesen	Creative Commons Attribution

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

CKAN Data API

Statistik Kes Kebankrapan Mengikut Golongan Umur

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Data Dictionary

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