SITC: Stage of Processing
Data as of 2006This table provides a complete lookup for the classification of stage of processing, as applied and used by publications in Malaysia, primarily by DOSM.
0 views·0 downloads
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)
Name in Dataset | Variable | Definition |
|---|---|---|
digits (Integer) | Digits | Number of digits; this column can be used as a filter if you only want to keep 1 digit codes, for example |
code (String) | Code | 1-4 digit codes; please ensure that you read this column as a string. |
desc_en (String) | Description (EN) | Description for the code, in English |
desc_bm (String) | Description (BM) | Description for the code, in Malay |
Last updated:
09 Mar 2024, 00:00
Next update:
N/A
Data source(s)
- DOSM
URLs to dataset
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.
Download
Data
Full Dataset (CSV)
Recommended for individuals seeking an Excel-friendly format.
0
Full Dataset (Parquet)
Recommended for data scientists seeking to work with data via code.
0
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
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)
Department of Statistics Malaysia
© 2024 Public Sector Open Data
Open Data
data.gov.my