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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()

2019 2023 Jul Principal Statistics of...

URL: https://archive.data.gov.my/data/dataset/5dc2703e-2a16-4517-825c-1bb807826d9b/resource/68a0f910-9559-413a-b425-5f9c7328cf98/download/m-20221027024801_202309181151490_2019-2023-jul-principal-statistics-of-manufacturing-sector-mala.csv

This dataset shows the Principal Statistics of Manufacturing Sector, 2019 - 2023 (July), Monthly Malaysia.

Source: Department of Statistics Malaysia

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Data Dictionary

Column	Jenis	Label	Keterangan
Year	text
Month	text
Type of Data	text
Sales value of own Ex factory in RM Million	text
Number of employees engaged at end of period	text
Salaries and wages paid in RM Million	text

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Ruangan	Nilai
Tarikh Data Dikemaskini	19 September 2023
Tarikh Metadata Dikemaskini	19 September 2023
Tarikh Dicipta	19 September 2023
Format Fail	CSV
Lesen	Creative Commons Attribution

CKAN Data API

2019 2023 Jul Principal Statistics of...

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Data Dictionary

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