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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()

2016 Lokasi Kedai 24 Jam di Pulau Pinang

URL: https://archive.data.gov.my/data/dataset/c3173775-924c-4acd-8bb5-07def7dbc966/resource/d352702b-77f5-42ac-b965-d17fbc9fac2d/download/2016kedai24jam.xls

Data lokasi kedai 24 jam di Pulau Pinang. Disediakan merujuk kepada lot kadastra menggunakan GPS berasaskan sistem koordinat GDM2000 Cassini Pulau Pinang

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Data Dictionary

Column	Jenis	Label	Keterangan

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Ruangan	Nilai
Tarikh Data Dikemaskini	6 September 2018
Tarikh Metadata Dikemaskini	26 Februari 2021
Tarikh Dicipta	6 September 2018
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

2016 Lokasi Kedai 24 Jam di Pulau Pinang

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Data Dictionary

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