• TropicalDingdong@lemmy.worldEnglish
    481·
    12 days ago

    Yeah but once you’ve done it once in R you can just dump your data again, update the theme and boom, done again.

    Also 30 minutes? maybe 3.

    • Saleh@feddit.orgEnglish
      12·
      12 days ago

      You can save template in Excel too.

      I know Excel is wonky sometimes and it is from Microsoft, so it comes with a whole lot of bullshit around it, but in terms of available features it is quite solid nowadays.

      • adr1an@programming.devEnglish
        6·
        11 days ago

        Can you do a plot a hundred times with a hundred different datasets with these templates? Without having to apply such template to each file, just pointing to the folder with them…

        To me that’s the whole point of programming, you can automatically do a thing and it doesn’t matter if it took an hour to write the code. Once you have it, you point it to the folder with all datasets, iterate over while you drink a coffee and then you have the hundreds of plots.

  • scrion@lemmy.worldEnglish
    39·
    12 days ago

    You’ll get used to it and it will only take a couple of minutes. And I honestly believe nothing comes close to ggplot2 in terms of quality, and I don’t use R for anything else.

      • scrion@lemmy.worldEnglish
        7·
        12 days ago

        Plots are typical composed, and when writing a paper (I insert them mostly into TeX publications) I do find the quality of the resulting plot is just so much more refined.

        Seaborn is indeed closer and was definitely inspired by ggplot2 in some areas, but IMHO, it’s still not 100% there visually. I’m very much a Python user and would love it to be, but when I’m, let’s say, publishing a book, I’d always go back to ggplot2 - when preparing a paper for a lab class, seaborn is probably fine.

        • goldenbug@fedia.io
          2·
          12 days ago

          Same here. I mostly work with Python but the graphs? They are ggplot2.

          Plotnine is getting there

      • Hawk@lemmynsfw.comEnglish
        2·
        12 days ago

        It’s a lot more like Seaborn. It produces gorgeous plots with a lovely syntax that is quick and easy to use, but it’s not a full drawing toolkit like matplotlib.

        If I need the plot to have a very precise aesthetic, mpl is great. But if I want a high quality statistical plot that looks great. ggplot2 will do it in about 2 seconds. See also plotnine.

        I have no idea how op thinks they could make a decent histogram any quicker than ggplot(data) + geom_histogram(x= x). I mean you don’t even have to leave your shell/editor or extract the SQL into CSV.

    • blackbirdbiryani@lemmy.worldEnglish
      4·
      12 days ago

      Plotly has the most pain-in-the-ass syntax compared to ggplot2 IMHO. And that’s from a guy who uses a tonne of plotly.

  • M137@lemmy.worldEnglish
    4·
    11 days ago

    Does anyone know where the image is from? I know I’ve seen the movie or whatever it is but just can’t remember.

  • adr1an@programming.devEnglish
    3·
    11 days ago

    Did anyone read the grammar of graphics paper from Hadley Wickham? I kind of enjoyed it a lot, and got to know what’s the power source really. I’m amazed so many software libraries came to reinvent compossibility in such unergonomic ways… But it’s nice to have options.

    I think I might prefer base R over matplotlib though… :p

  • flora_explora@beehaw.orgEnglish
    3·
    10 days ago

    What? Making a nice graph in excel? But yeah, ggplot2 does have a pretty steep learning curve. Once you learned it a bit it is really nice though. I love ggplot2 ❤️