SITC: Stage of Processing

Data as of 2006

This table provides a complete lookup for the classification of stage of processing, as applied and used by publications in Malaysia, primarily by DOSM.

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How is this data produced?

The classification of stage of processing is consistent with the Standard International Trade Classification (SITC) Revision 4 published by the United Nations Statistics Division, which is used as a global reference in the classification of international merchandise trade.

What caveats I should bear in mind when using this data?

Publication(s) using this data

Metadata

Dataset description

This table provides a complete lookup for the classification of stage of processing, as applied and used by publications in Malaysia, primarily by DOSM.

Variable definitions
  • Digits
  • Code
  • Description (EN)
  • Description (BM)
Last updated:

09 Mar 2024, 00:00

Next update:

N/A

Data source(s)
  • DOSM
License

This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A copy of the license is available Here.

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Data
Full Dataset (CSV)

Full Dataset (CSV)

Recommended for individuals seeking an Excel-friendly format.

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Full Dataset (Parquet)

Full Dataset (Parquet)

Recommended for data scientists seeking to work with data via code.

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Code

Connect directly to the data with Python.

# If not already installed, do: pip install pandas fastparquet import pandas as pd URL_DATA = 'https://storage.dosm.gov.my/dictionaries/sitc_sop.parquet' df = pd.read_parquet(URL_DATA) if 'date' in df.columns: df['date'] = pd.to_datetime(df['date']) print(df)

Sample OpenAPI query

The following code is an example of how to make an API query to retrieve the data catalogue mentioned above. You can use different programming languages by switching the code accordingly. For a complete guide on possible query parameters and syntax, please refer to the official Open API Documentation.
import requests import pprint url = "https://api.data.gov.my/data-catalogue?id=sitc_sop&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)