The overnight policy rate (OPR) is the interest rate at which banks lend to each other, set by BNM. The OPR has an impact on the country's employment, economic growth, and inflation. It is an indicator of the overall economic health and banking system of the country. BNM surprised the market by raising the OPR by 25 basis points to 3% on May 3, 2023. This is the first hike since November 2022 and the second one this year. "Timely to further normalise the degree of monetary accommodation" as the domestic growth prospects remain resilient

URL sharing is essential for online platforms and applications. It allows users to access specific resources on the internet, such as web pages, images, videos, files, and more. #APIs make sharing URLs even more seamless, like those offered by OpenDOSM With URL sharing APIs, developers can provide users with a more streamlined experience, allowing them to share URLs and other data without leaving the application. This can drive more traffic to the platform and increase user engagement. #OpenData #API

Data driven community empowerment is possible with community-based monitoring systems! #CBMS #communityempowerment #datadriven It's easier than ever for communities to collect and analyze data in order to improve service delivery. #communityengagement #datacollection #policydecisions

Making real-time public transportation information public, free, and usable is necessary to address the inconvenience, uncertainty, and other costs associated with public transportation, and it could lead to better solutions for commuters. Real-time public transportation data could be provided through transport agencies @MOTMalaysia, private data firms or transport corporations, or public or community initiatives funded by donations.

Could it be potential opendata resources - unofficial data for weather? @metmalaysia @StatsMalaysia #openDOSM Daily data start to from 1959-01-01.
Hourly data start to from 2022-06-08.

That good enough to get the trend..

Dive in to terminology:
Preparedness vs Practise.

Preparedness equips us with the skills and resources to tackle data science challenges, while practice hones our abilities and helps us stay at the forefront of the constantly evolving field. Preparedness refers to being ready or equipped for a certainsituation, task or event. In the context of data science, preparedness means having the necessary skills, knowledge, and resources to tackle a data science project or problem effectively.

Annual data alone may not be sufficient to make decisions on time-critical issues. Annual data provides a snapshot of a particular variable at a specific point in time, but it may not capture the dynamics and trends of that variable over time. For time-critical issues, it's important to have access to more frequent data, such as monthly or even daily data. This type of data can provide a more detailed understanding of the issue and can help identify patterns and trends that may not be apparent from annual data alone.

What is driving chicken price volatility today? Volatility refers to the rate at which the price of a financial asset, such as a stock or a commodity, changes over time. It is often used to assess the potential for price fluctuations. High volatility means that the price of the asset can change significantly within a short period of time, while low volatility means that the price changes more slowly and steadily.