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.devEnglish
    1·
    1 year 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.

  • jdnewmilEnglish
    1·
    1 year 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?)