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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 mengikut jenis kesalahan, pecahan...

URL: https://archive.data.gov.my/data/dataset/87668c5f-30ed-4c6e-841a-fb3a974176bd/resource/4edf8cbc-4dab-4e44-aa53-440b9ffb4693/download/laporan-85-bilangan-kes-baru-pesalah-muda-india-mengikut-jenis-kesalahan-pecahan-umur-dan-janti.xlsx

Statistik mengikut jenis kesalahan, pecahan umur, bilangan lelaki dan perempuan dan jumlah keseluruhan

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Data Dictionary

Column	Jenis	Label	Keterangan

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Ruangan	Nilai
Tarikh Data Dikemaskini	14 Mei 2018
Tarikh Metadata Dikemaskini	14 Mei 2018
Tarikh Dicipta	14 Mei 2018
Format Fail	XLSX
Lesen	Creative Commons Attribution

CKAN Data API

Statistik mengikut jenis kesalahan, pecahan...

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Data Dictionary

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