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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()

2017 - Pecahan Nilai Pindah Milik Harta...

URL: https://archive.data.gov.my/data/dataset/4d3f9f40-2114-4ed1-8954-b4b92299fec8/resource/6c958726-b43e-417d-8cd1-347d0cf8cd1e/download/2017-pecahan-nilai-pindah-milik-harta-kediaman-mengikut-jenis-dan-daerah-rm-juta-di-pulau-pinang.csv

Pecahan Nilai Pindah Milik Harta Kediaman Mengikut Jenis dan Daerah (RM Juta) Di Pulau Pinang Bagi Tahun 2017

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Data Dictionary

Column	Type	Label	Description

Additional Information

Field	Value
Data last updated	November 26, 2018
Metadata last updated	November 26, 2018
Created	November 26, 2018
File Format	CSV
License	Creative Commons Attribution

CKAN Data API

2017 - Pecahan Nilai Pindah Milik Harta...

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Data Dictionary

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