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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()

2012 2023 Q2 Principal statistics of retail...

URL: https://archive.data.gov.my/data/dataset/a5a0e365-ab84-480b-a8a9-ae885b17445b/resource/f71de955-41fb-41c0-8325-2b55ac8edb31/download/m-20210315105746_202308150234480_2012-2023-q2-principal-statistics-of-retail-trade-malaysia.csv

This data set shows the Principal statistics of retail trade, 2012-2023, Malaysia (Q2)

Footnote
Data for 2005 to 2010 has been revised basing on the Census of Distributive Trade 2009 The value for year 2023, Q1 is revised The value for year 2023, Q2 is preliminary

Source: Department of Statistics, Malaysia

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Data Dictionary

Column	Jenis	Label	Keterangan
Year	text
Quarter	text
Value of sales in RM thousands	text
Number of persons engaged	text
Salaries and Wages in RM thousands	text
Status Data	text

Maklumat Tambahan

Ruangan	Nilai
Tarikh Data Dikemaskini	22 Ogos 2023
Tarikh Metadata Dikemaskini	22 Ogos 2023
Tarikh Dicipta	22 Ogos 2023
Format Fail	CSV
Lesen	Creative Commons Attribution

CKAN Data API

2012 2023 Q2 Principal statistics of retail...

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Data Dictionary

Maklumat Tambahan