OpenDOSM
PriceCatcher: 2022/07
Data as of 31 Jul 2022, 23:59The table below provides a preview of the full dataset, which contains over a million prices. We recommend that you download and work with the data in a coding environment. This data should be used in conjuction with the Item Lookup and Premise Lookup tables.
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
PriceCatcher is a mobile app developed by the Ministry of Domestic Trade and Cost of Living (KPDNKSH, formerly KPDNHEP) to help users compare the prices of key items in their area. Prices are collected and verified by groundstaff on a daily basis, with over 2 million prices collected every month. This dataset makes that wealth of data available to you for analysis.
Variable definitions
- Date
- Premise Code
- Item Code
- Price
Last updated
01 Aug 2022, 12:00
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/pricecatcher_2022-07.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)