Premise Lookup
Data as of 18 Nov 2024, 23:59Lookup table, to be left-joined against premise code in the main PriceCatcher data.
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How is this data produced?
Prices are collected and verified by groundstaff on a daily basis, with over 2 million prices collected every month.
What caveats I should bear in mind when using this data?
This data is collected for the purpose of price surveillance, and is excellent for high-frequency analysis of specific items in specific locations. Inflation surveillance requires a different approach, in particular to ensure proper representativeness. Inflation analysis should be conducted using DOSM's CPI data.
Publication(s) using this data
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Metadata
Dataset description
Lookup table, to be left-joined against premise code in the main PriceCatcher data.
Variable definitions
- Premise Code
- Premise
- Address
- Premise Type
- State
- District
Name in Dataset | Variable | Definition |
|---|---|---|
premise_code (Integer) | Premise Code | Column for left-join |
premise (Categorical) | Premise | Name of premise |
address (String) | Address | Full address |
premise_type (Categorical) | Premise Type | Type of premise |
state (Categorical) | State | Name of state |
district (Categorical) | District | Name of district |
Last updated:
19 Nov 2024, 12:00
Next update:
N/A
Data source(s)
- Ministry of Domestic Trade
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.
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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.data.gov.my/pricecatcher/lookup_premise.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)Sample OpenAPI query
This data catalog is not available through OpenAPI as the nature of the data makes it unsuitable for API access. For the full dataset, please use the provided download link as shown in the above section.
Department of Statistics Malaysia
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data.gov.my