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Tag: #data · 25 opslag
Publiceret 7. feb.
#data This is gold. https://youtu.be/pjq3QOxl9Ok
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Publiceret 16. jan.
#data Just got my ticket. I have been reviewing proposals for PyData this year. I saw some really cool proposals so I finally decided to attend the conference. https://2023.pycon.de/blog/pyconde-pydata-berlin-tickets/
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Publiceret 18. dec.
#data https://evidence.dev/ I like the idea. My last dashboarding tool for work was streamlit. Streamlit is lightweight and fast. But it requires Python code and a Python server. Evidence is mostly markdown and SQL. For many lightweight dashboarding tasks, this is just sweet. Evidence is built on node. I could run a server and provide live updates but I can already build a static website by running npm run build. Played with it a bit. Nothing to complain about at this point.
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Publiceret 23. nov.
#data Played with polars a bit. It's actually quite fast. https://www.pola.rs/
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Publiceret 3. jun.
#data If you are building a simple dashboard using python, streamlit is a great tool to get started. One of the problems in the past was to create multipage apps. To solve this problem, I created a template for multipage apps a year ago. https://github.com/emptymalei/streamlit-multipage-template But today, streamlit officially introduced multipage support. And it looks great. I haven’t built any dashboards for a while, but to me, this is still the go-to solution for a dashboard. https://blog.streamlit.io/introducing-multipage-apps/
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Publiceret 26. maj
#data https://www.theviolenceproject.org/mass-shooter-database/
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Publiceret 11. maj
#data Stop squandering data: make units of measurement machine-readable https://www.nature.com/articles/d41586-022-01233-w
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Publiceret 30. dec.
#data#ds Disclaimer: I'm no expert in state diagram nor statecharts. It might be something trivial but I find this useful: Combined with some techniques in statecharts (something frontend people like a lot), state diagram is a great way to document what our data is going through in data (pre)processing. For complicated data transformations, we can make the corresponding state diagram and follow your code to make sure it is working as expected. The only thing is that we are focusing on the state of data not any other system. We can use some techniques from statecharts, such as hierarchies and parallels. State diagram is better than flowchart in this scenario because we are more interested in the different states of the data. State diagrams automatically highlights the states and we can easily spot the relevant part in the diagram and we don’t have to start from the beginning. I documented some data transformations using state diagrams already. I haven't tired but it might also help us document our ML models. References: 1. https://statecharts.dev 2. https://en.wikipedia.org/wiki/State_diagram
Publiceret 5. okt.
#data Finally. Announcing Streamlit 1.0! 🎈 https://blog.streamlit.io/announcing-streamlit-1-0/
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Publiceret 17. sep.
#data https://github.com/hosseinmoein/DataFrame
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Publiceret 29. jan.
#data https://ec.europa.eu/eurostat/cache/recovery-dashboard/ Eurostat built a dashboard to show the socioeconomic indicators of EU during the corona virus period. It is seen that most indicators are recovering.
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Publiceret 7. jan.
#data Could you prevent a pandemic? A very 2020 video game https://play.acast.com/s/nature/2020festivespectacular
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