OpenDOSM
Premise Lookup
Data as of 12 Jan 2023, 11:00Lookup table, to be left-joined against premise code in the main PriceCatcher data.
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.
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
Last updated
N/A
Next update
N/A
Data source(s)
- KPDNKSH
URLs to dataset
License
This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A human-readable copy of the license is available Here.
Download
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.googleapis.com/dosm-public-pricecatcher/lookup_premise.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)Department of Statistics Malaysia
© 2023 Department of Statistics Malaysia (DOSM)