najmiariffin Profile picture
Feb 3 4 tweets 2 min read
Could it be potential opendata resources - unofficial data for weather? @metmalaysia @StatsMalaysia #openDOSM ImageImage
Daily data start to from 1959-01-01.
Hourly data start to from 2022-06-08.

That good enough to get the trend.. Image
mapping with wmocode..tadaaa...

checkout today data: Image
How they collect the data using remodelling method, read-more here: openmeteo.substack.com/p/historical-w…

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More from @najmi_ariffin

Feb 12
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.
If affordable, reliable public transport is a public good funded by taxpayers, then public transport data should be made public and free.
Read 6 tweets
Feb 1
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.
This includes having a good understanding of relevant programming languages, data analysis techniques, and machine learning algorithms, as well as access to powerful computing resources.
Read 6 tweets
Jan 14
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.
Additionally, historical data can be useful for planning for future. By analyzing past trends and patterns, you can identify potential future scenarios and develop strategies to address them.
Read 6 tweets
Dec 24, 2022
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.
Volatility can be calculated using statistical methods, such as the standard deviation of daily price changes or the annualized rate of return over a certain period of time.
Read 13 tweets

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