In the interests of making this community home for those of us who are reddit refugees, let’s go ahead and introduce ourselves.

Some suggested things to comment on/include in your introduction:

  • Tidyverse, base, or data.table?
  • Are you primarily a user, a developer, or in between?
  • How long have you been using R?
  • What other languages do you use?
  • What do you use R for? Statistics? generative art? data wrangling?
  • Are you using R primarily for work, fun, hobbies, or something else?
  • Are you a hex sticker collector? Why or why not?
  • Where are you on the data engineering <----> pure statistics continuum?
  • What’s your favorite obscure package?
  • MalditoBarbudo@programming.dev
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    2 years ago

    I’m @MalditoBarbudo, a data scientist at an ecology and forestry research center.

    I’ve been using R for 14 years, starting as an user and ending as a developer. I’ve done also some python, sql and web development (html, js and css).

    I prefer tidyverse, it fit perfectly with my mental logic, but I reckon that sometimes data.table is needed (but in that case dtplyr comes to help!).

    I maintain several packages (sapfluxnetr, meteospain…) and collaborate in others (meteoland, medfate…). I also maintain a web with several shiny apps for forest data visualization (LFC).

    My favourite obscure package changes every week or so, but if I have to choose one, lately I’ve been playing with rayshader, trying to create nice 3d map plots.

  • jdnewmil@lemmy.ca
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    2 years ago

    I am a an engineering consultant, specializing in solar photovoltaic power systems.

    • Tidyverse and Base R. I find people who do things the hard way tedious just to be pure.
    • I suppose I am more of a user, because I haven’t released any of my packages.
    • Almost 25 years.
    • C++, Python. Many other languages as they have been needed, from Assembly to VBA and Matlab.
    • R is to me what Excel is for a lot of people… a full featured calculator. I compose a lot using RMarkdown/Quarto. I tend to build reproducible pipelines for data or simulations.
    • Both, though at work there is some pressure to use more Python.
    • I have some stickers. I don’t have many.
    • Probably closer to the data wrangling end.
    • onion… 3d space rotations made easy through obscure math (which way is the solar panel pointing anyway?)
  • iwenthometobeafamilyman@lemmy.world
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    2 years ago

    Hello, I am an IT support tech/sysadmin who somehow ended up with data analyst/engineer duties.

    I develop R scripts (tidyverse), but I’m also responsible for running them as part of my team’s workflows. The scripts are basically manual data pipelines since the higher ups won’t let my team invest in actual automation & integration. I also use Javascript/HTML/CSS to build front ends for our information management system.

    I don’t know many R programmers IRL so I’m glad to find a forum for it in the fediverse.