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.
the lifestyle
Submitted 4 days ago by fossilesque@mander.xyz to science_memes@mander.xyz
https://mander.xyz/pictrs/image/55741910-5e55-4188-8dc9-743be0ef6307.png
Comments
scrion@lemmy.world 4 days ago
Eheran@lemmy.world 4 days ago
How does it compare to matplotlib?
scrion@lemmy.world 4 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.
Hawk@lemmynsfw.com 4 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.
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.
captainlezbian@lemmy.world 2 days ago
It’s a beautiful graph. And the stats are great. But I’m in industry so I use excel
ftbd@feddit.org 4 days ago
What about tikz?
friend_of_satan@lemmy.world 4 days ago
It me, but excel is the bad option and plotly is the good option.
blackbirdbiryani@lemmy.world 4 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.
mEEGal@lemmy.world 4 days ago
yes but f&£k excel
flora_explora@beehaw.org 2 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 ❤️
M137@lemmy.world 3 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.
MeaanBeaan@lemmy.world 3 days ago
Coraline
M137@lemmy.world 3 days ago
Thank you! I thought that might be it, just doubted that thought.
Gonna rewatch it, haven’t seen it since it was new.
fossilesque@mander.xyz 3 days ago
It’s gotta be a Tim Burton, no?
M137@lemmy.world 3 days ago
Yeah, it is! I thought it might be but felt it was something else with a similar style. Big fan of this kind of caricature stop-motion style.
kevin@mander.xyz 2 days ago
I’ll just leave this here beautiful.makie.org/dev/examples/2d/…/hist
anzo@programming.dev 3 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
propter_hog@hexbear.net 3 days ago
Because some of us have standards
TropicalDingdong@lemmy.world 4 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.org 4 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.
anzo@programming.dev 3 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.