Make Multiplots Like a Pro with {patchwork} | R package reviews

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  • Опубликовано: 3 окт 2024
  • The Patchwork package makes it incredibly easy to combine separate plots into the same graphic by using the simplest mathematical operators, such as plus (+), slash (/), parentheses and much more.
    If you only want the code (or want to support me), consider join the channel (join button below any of the videos), because I provide the code upon members requests.
    Enjoy! 🥳
    Welcome to my VLOG! My name is Yury Zablotski & I love to use R for Data Science = "yuzaR Data Science" ;)
    This channel is dedicated to data analytics, data science, statistics, machine learning and computational science! Join me as I dive into the world of data analysis, programming & coding. Whether you're interested in business analytics, data mining, data visualization, or pursuing an online degree in data analytics, I've got you covered. If you are curious about Google Data Studio, data centers & certified data analyst & data scientist programs, you'll find the necessary knowledge right here. You'll greatly increase your odds to get online master's in data science & data analytics degrees. Boost your knowledge & skills in data science and analytics with my engaging content. Subscribe to stay up-to-date with the latest & most useful data science programming tools. Let's embark on this data-driven journey together!

Комментарии • 49

  • @OnLyhereAlone
    @OnLyhereAlone 9 месяцев назад +1

    When i see a YuzaR video drop, i watch it immediately; always informative as i learn new R stuff. However, I hear however a lot.
    Thanks for the wonderful work you do.

    • @yuzaR-Data-Science
      @yuzaR-Data-Science  9 месяцев назад

      Good point 😂 You are soo right, man! Last couple of videos are very "howevery" 🙈 Interestingly, I don't realise it while writing, don't get it while recording voice over. But only here it when I listen to the record for the first time. I definately need to reduce the usage of "however" 😁 Thanks for your feedback and Merry Christmas!

  • @AuthenticMusicalInsight
    @AuthenticMusicalInsight 9 месяцев назад

    thank you for all your help

  • @angadanalytics2896
    @angadanalytics2896 9 месяцев назад

    Woooow. I really appreciate this

  • @alijanbain2852
    @alijanbain2852 9 месяцев назад

    Always the best😊 Thanks

  • @suelook9562
    @suelook9562 8 месяцев назад

    Excellent presentation YuzaR

    • @yuzaR-Data-Science
      @yuzaR-Data-Science  8 месяцев назад

      Thanks again! Glad you enjoyed it! Thank you for watching!

  • @Walker-nb9de
    @Walker-nb9de 9 месяцев назад

    Really Appreciated your work. Love to be part of this community. Stay blessed.

  • @raould2590
    @raould2590 9 месяцев назад

    Another excellent and immensely helpful video! Thank you for this!

  • @ntran04299
    @ntran04299 9 месяцев назад

    always appreciate your work! this is such a beautiful and useful package

  • @MannyBernabe
    @MannyBernabe 9 месяцев назад

    Another great one, Yury! Keep them coming!

  • @muhammedhadedy4570
    @muhammedhadedy4570 9 месяцев назад

    Great as usual. Please, keep up the great work.
    ❤❤❤❤

    • @yuzaR-Data-Science
      @yuzaR-Data-Science  9 месяцев назад +1

      Thank you, Muhammed! Will do! Thanks for watching!

  • @staedtler8479
    @staedtler8479 9 месяцев назад

    yey this is going to be really handy on some of my works, thanks a bunch.

    • @yuzaR-Data-Science
      @yuzaR-Data-Science  9 месяцев назад +1

      you are very welcome! thanks for your continuous support!

  • @yusmanisleidissotolongo4433
    @yusmanisleidissotolongo4433 9 месяцев назад

    Thanks so much Pr. Yuza

  • @luismontero3416
    @luismontero3416 9 месяцев назад

    Thank you, so much; great video!!!

  • @rwaewae
    @rwaewae 9 месяцев назад

    great, thanx

  • @statlab_stat.solution
    @statlab_stat.solution 9 месяцев назад

    Very useful

  • @yinanzhang2764
    @yinanzhang2764 28 дней назад

    Thx so much wish to your coming vedio

  • @GreenManXY
    @GreenManXY 9 месяцев назад

    Two questions:
    1. Does this work in markdown?
    2. How would it work with functions that plot several plots at the same time, like from the sjPlot package?

    • @yuzaR-Data-Science
      @yuzaR-Data-Science  9 месяцев назад

      Sure, my blog about it is written in Rmarkdown.

    • @yuzaR-Data-Science
      @yuzaR-Data-Science  9 месяцев назад

      Should work with sjPlot! Try plot layout for that one

  • @leminhduy8368
    @leminhduy8368 9 месяцев назад

    thank for sharing this incredible package. Do you know the equivalent package for python?

    • @yuzaR-Data-Science
      @yuzaR-Data-Science  9 месяцев назад +1

      You are welcome! No, sorry, don't know whether there is an equivalent in python. I still don't use python somehow ... but will have to one day.

  • @hansmeiser6078
    @hansmeiser6078 9 месяцев назад

    Is this plottly-compatible?

    • @yuzaR-Data-Science
      @yuzaR-Data-Science  9 месяцев назад +1

      partly, namely, if all of your picture are ggplotly, then it works, if few are and few are not, I could not make it work. besided, normal photos, or saved pict did work irregularly, but it might be also possible to add them

  • @joshstat8114
    @joshstat8114 9 месяцев назад

    I know this might be irrelevant to your video. I got a concern: I can't even staged a file folder to commit in R project to git

    • @yuzaR-Data-Science
      @yuzaR-Data-Science  9 месяцев назад

      :) I have no idea what are you talking about :) sorry mate

    • @joshstat8114
      @joshstat8114 9 месяцев назад

      @@yuzaR-Data-Science don't worry, I already resolved that. Thnx for the response, anyways

    • @yuzaR-Data-Science
      @yuzaR-Data-Science  9 месяцев назад

      @@joshstat8114 you are welcome!

  • @yeah_reee
    @yeah_reee 9 месяцев назад

    Thank you so much