christophscheuch.bsky.social
Freelance Finance & Data Expert | Creator of Shiny Apps, Packages & Workshops with R & Python | tidy-finance.org | tidy-intelligence.com
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Link to the app (might polish it visually until the conf though): apps.tidy-intelligence.com/apps/debt-ne...
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*multiple languages next to R
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Afaik if there are multiple languages in the same quarto doc, then knitr does all the work by invoking reticulate (Python) or JuliaCall (Julia) and collecting results afterwards. The reason is that there can only be one engine per document.
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Also, consistent QA and prod environment are really important. My last project was a shiny app that became pretty complex over time, used box modules, was deployed by copying files to a Shiny Server and had tables with _test suffix for QA. Updates constantly broke stuff, I really missed Docker 😅
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I‘d also advocate for deploying apps, APIs or jobs via dedicated packages in Docker containers. Common tools (e.g. custom shiny modules reused across apps) end up as local packages in a shared base image (self-hosted package repo so far didn’t seem worth the effort).
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Thank you for your service to the #rstats community 🫡 🙏🏻
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The issues have been open on GitHub for a few months now, but I also believe there is genuine value in open-sourcing different approaches to solving a data problem (e.g. interface design, dependencies). Giving users options allows them to pick the tool that best fits their specific needs.
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Thanks, fixed it! Classic copy-paste 🤦♂️
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Indeed, I of course checked. But this package does not work anymore, does not use the Chart API and does not seem to be maintained anymore
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Yes, but {owidR} is broken and does not seem to be maintained since OWID released the Chart API
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Link to repo: github.com/tidy-intelli...
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Link to the repo: github.com/tidy-intelli...
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Thank you 🙏🏻
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Very interesting paper, in particular the impact of data cleaning! I wanted to check out the data, but the link in the is either outdated or the repo is not public yet 🫣https://github.com/many-economists/analysis
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Oh yeah, brand.yml is one of the features that I’m really looking forward to leverage in the future 🔥
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I recently switched from shinydashboard to bslib and I really like how easy it is to create boxes and columns that just look and feel nice
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{ellmer} is the best #LLM interface in any language, in my opinion, and I'd encourage you to give the new PDF support a try.
Learn more: ellmer.tidyverse.org/
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Is there anything close to {ellmer} for Python?
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If you want to have interactivity, I'd choose altair - it also follows a layered approach (like grammar of graphics). Plotly is the more popular alternative. I made a comparison with introductory examples here: blog.tidy-intelligence.com/posts/intera...
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I think the text_extra() type of reactable.extras should do the trick appsilon.github.io/reactable.ex...
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*googles fish* 😬
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I have a client where I code with snake_case objects in R that also have prefixes with dots, while column names are PascalCase (due to restrictions on the database side) and parameters are camelCase because why not 😂
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Dots are special interpreters in Python that call attributes, so essentially we cannot use dot case in object names there. Since I do both R and Python stuff, I also don’t use them in R code 😬
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I recently switched back to a light theme because dark mode was actually straining my eyes - probably because my workspace is too well-lit 🙈
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The good thing about the tidyverse incantations then is that English verbs get you a long way in mastering spells 🧙
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Thanks for the kind words! It’s still in an early stage, but hopefully there will be some major news soon 🤞
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From my side, MSc students in Data Science are definitely welcome to join! Just note that I assume undergraduate-level finance knowledge and I won’t go into extensive detail on theoretical concepts. I'll make sure to clarify these points on the website.
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Website looks amazing 🤩