Annual Budget Allocation for the Ministry of Education

Data as of 2022

Annual federal budget allocated to the Ministry of Education (B/P.63) with a breakdown by expenditure categories, including development expenditure (DE) and operating expenditure (OE).

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Table

Allocation

How is this data produced?

This dataset is produced from the Budget Book tabled in Parliament and subsequently published by the Ministry of Finance. Categorisation of expenditure is based on the Classification Codes for Revenue and Expenditure published by the Federal Treasury.

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

This data reflects budgeted rather than actual expenditures.

Publication(s) using this data

Metadata

Dataset description

Annual federal budget allocated to the Ministry of Education (B/P.63) with a breakdown by expenditure categories, including development expenditure (DE) and operating expenditure (OE).

Variable definitions
  • Date
  • Expenditure Category
  • Allocation
Last updated:

01 Sept 2024, 12:00

Next update:

N/A

Data source(s)
  • Ministry of Finance
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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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.data.gov.my/publicadmin/budget_allocation_moe.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=federal_budget_moe&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)