Data Manipulation Tools: dplyr -- Pt 3 Intro to the Grammar of Data Manipulation with R

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  • Опубликовано: 22 авг 2024

Комментарии • 31

  • @readytolearn77
    @readytolearn77 9 месяцев назад

    These tutorials are so helpful. I thank God for you.

  • @zainabmohammed1141
    @zainabmohammed1141 4 года назад +3

    This makes so much sense. I’m so new to R and I need it for my internship as a data scientist. I’m use to SPSS and this is such a foreign language to me lol. Big help! Thanks!

  • @safetifying
    @safetifying 3 года назад +1

    Best video so far on R and I’ve watched quite a few! Thanks 🙏

    • @Momo8
      @Momo8 3 года назад

      Ikr

  • @muhammadsaleemkhan5761
    @muhammadsaleemkhan5761 4 года назад +4

    love it, highly recomend this guy

  • @mariamartin6205
    @mariamartin6205 9 месяцев назад +1

    Thanks, this is great!

  • @19angela71
    @19angela71 Год назад

    Thank you. The presentation filled some gaps in my knowledge of dplyr.

  • @itsmitasha
    @itsmitasha 20 дней назад

    Useful content, thank you!

  • @johnmcghee3963
    @johnmcghee3963 4 года назад +1

    thanks so much for this vide - I have been trying for months to get my head around different aspects of R as a total beginner. this video might be the difference in me being awarded an Mres that I'm studying for and quants is a mandatory module. strike action here in Scotland and then straight after the covid19 pandemic has left my university closed and difficult to find help -with the expectation for us to carry on as normal study-wise. in short this has been a very useful resource - thank you

  • @leeanne562
    @leeanne562 3 года назад

    I love your R tutorials. We need more please!!! thanks a lot

  • @karlbooklover
    @karlbooklover 4 года назад +1

    The part about grouping was just what I needed today. I didn't know how to do it so I did a nested select with sqldf()

  • @abdu170
    @abdu170 2 года назад

    Thank you very much! That is what I want!

  • @eyadha1
    @eyadha1 2 года назад

    Very good video. Helpful for me. Thanks

  • @sitendurocks
    @sitendurocks 4 года назад +4

    just the ctrl + shift +m for pipe operator is enough to get a like and subsrie for thsi video.

  • @paco83s
    @paco83s Год назад

    Great tutorial, thank you

  • @pinyichang4680
    @pinyichang4680 2 года назад

    appreciate

  • @Elmitty
    @Elmitty 4 года назад +3

    I am relatively new to R, our professor requires us to manipulate data and create frequency distribution tables wthout much bckground. Can u make a comprehensive guide for it? Table must include class marks, class boundaries

  • @musicspinner
    @musicspinner 3 года назад

    just great 👨‍💻👌

    • @musicspinner
      @musicspinner 3 года назад

      %>% shortcut Ctrl + Shift + M noted...

  • @vrajtalati5300
    @vrajtalati5300 10 месяцев назад

    please let me know, what is the short cut for %in%

  • @coreygallon
    @coreygallon 4 года назад +3

    What tool did you use to make this presentation? It's really cool!

    • @noahlove1955
      @noahlove1955 3 года назад

      It is likely slide presentations in R markdown! Most of RStudio is using those now.

  • @bhumikahamirwasia9898
    @bhumikahamirwasia9898 5 лет назад +3

    i can't install dplyr package in R version 3.5.2 help me

  • @prakashmuppala7337
    @prakashmuppala7337 6 лет назад +1

    Nice video....

  • @winnumber101
    @winnumber101 3 года назад

    Any particular way to select a column with a non-English name? If I’ve got a bunch of columns written in English and then a few written in Korean, how can I single those Korean columns out?

    • @PositPBC
      @PositPBC  3 года назад

      Thanks for the question! The best way to get an answer is to check out our Community forums: community.rstudio.com/

  • @ExcelSQLPowerBI
    @ExcelSQLPowerBI 2 года назад

    from where can I download the csv file used for this video?

  • @beatrizdasilva242
    @beatrizdasilva242 3 года назад

    Brasil

  • @devotionconceptual9389
    @devotionconceptual9389 5 лет назад

    //