JJ Allaire & Hadley Wickham | RStudio: 2022 and Beyond

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  • Опубликовано: 27 окт 2024

Комментарии • 8

  • @kssrr
    @kssrr Год назад +3

    Great talk, and I think I speak for a large group of people when I say I am incredibly thankful for the resources & work this company has been putting into the R ecosystem, but also Open Source tools for DS/DA in general. Broadening the scope certainly seems like a logical move & I hope posit will continue to thrive 👍 Keep up the good work

  • @carvalhoribeiro
    @carvalhoribeiro 2 года назад +6

    Thank you for made R usable and approachable for us. I work with process improvement and I'm not a programmer (I love this guy %>%). I regularly use SQL in oracle databases, excel spreadsheets and BI tools. The ability to search for answers was enhanced by the tools developed by you because for me, *tidyverse* is very similar to SQL. Thank you so much for that.

  • @MarkusEicher70
    @MarkusEicher70 Год назад

    This was a very inspiring speech and I really appreciate your work. You found a good way to monetize Open Source and I like the philosophy of Posit to stay independent and not falling for the trap of growth at any price. I am pleased to see more and more companies and organizations who leverage the same spirit and build a strong foundation of an accessible and open software ecosystem, that helps building communities and drives progress for all of us. I wish you all the best for your mission and I am looking forward to what's to come in the future. Thank you.

  • @yiweichen6888
    @yiweichen6888 2 года назад +1

    I've been using R since university time, hope R will be better!!

  • @WahranRai
    @WahranRai 2 года назад +2

    They destroyed the simplicity of R imposing the pipe %>%, tibble, tidyverse etc...I recommend them to read python script : easy to understand

    • @dgrossiter8610
      @dgrossiter8610 2 года назад +5

      There is no requirement to use those things you mention. Base R (pre-tidyverse) is not going away. And you can do everything in it.

    • @americanexile
      @americanexile Год назад +8

      Could not DIS-agree more. The Tidyverse takes a natural language approach: Subject Verb Object or data %>% function() ... outcome. I've taught it to beginners whose native languages are Chinese or English. They run with it. As for the old school Onion code of nested functions -- forget about it.

    • @WahranRai
      @WahranRai Год назад +1

      @@americanexile You take all the languages: the arguments of a function/method are inside the function (data, other arguments..)
      No need for SQL synthax: SQL is more appropriate.
      This old school that you quoted makes you arrive at this knowledge.
      A great tool like the data frame becomes "deprecated"