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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 Penerima Baik Pulih Rumah Daif...

URL: https://archive.data.gov.my/data/dataset/fb336137-53bb-4d47-8fd2-c6973dce5a07/resource/3be6f4df-2949-45b1-8c29-7dae9c2a9022/download/statistik-penerima-baik-pulih-rumah-daif-bandar-mengikut-negeri-kategori-umur-dan-jantina-tahun.xlsx

Statistik Penerima Baik Pulih Rumah Daif Bandar Mengikut Negeri, Kategori Umur dan Jantina Tahun 2018

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Data Dictionary

Column	Type	Label	Description

Additional Information

Field	Value
Data last updated	December 9, 2019
Metadata last updated	May 5, 2021
Created	December 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 Penerima Baik Pulih Rumah Daif...

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Data Dictionary

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