Discover and read the best of Twitter Threads about #openDOSM
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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
A URL sharing API can improve the overall user experience, making it easier for users to quickly and easily share URLs and other data. This is especially useful for social media platforms and applications that rely heavily on user-generated content. #OpenDataAPI
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..
Hourly data start to from 2022-06-08.
That good enough to get the trend..
mapping with wmocode..tadaaa...
checkout today data:
checkout today data:
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 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.
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.
4 fokus utama ucapan saya sempena pelancaran #OpenDOSM NextGen:
1) Revolusi perkongsian data;
2) Memperkasakan rakyat dengan data terbuka;
3) Inisiatif berterusan terhadap penambahbaikan akses kepada data terbuka;
4) Kolaborasi data melalui saluran perkongsian setempat.
1) Revolusi perkongsian data;
2) Memperkasakan rakyat dengan data terbuka;
3) Inisiatif berterusan terhadap penambahbaikan akses kepada data terbuka;
4) Kolaborasi data melalui saluran perkongsian setempat.
Statistik rasmi merupakan teras
kepada proses pembentukan dasar sosioekonomi negara. @StatsMalaysia sebagai penjana statistik rasmi negara sentiasa peka dengan persekitaran dan ekspektasi tinggi terhadap penyampaian perkhidmatan data dan statistik yang reliable dan real-time.
kepada proses pembentukan dasar sosioekonomi negara. @StatsMalaysia sebagai penjana statistik rasmi negara sentiasa peka dengan persekitaran dan ekspektasi tinggi terhadap penyampaian perkhidmatan data dan statistik yang reliable dan real-time.
Pengaksesan mudah kepada data terbuka yang lebih terperinci yang dapat mewakili populasi kecil dan peringkat lokaliti geografi meningkat dengan ketara seiring dengan perkembangan literasi data dan statistik
