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I love R but it’s definitely not widespread.
Yeah, I'd say python is a much better language than R, but the tidyverse beats anything Python has to offer.
Pick the tool for the job. Scraping data or interacting with web apis? I reach for python. But cleaning/summarizing messy data and then visualizing it? Tidyverse time.
Or SAS. I really like cleaning data in SAS, and proc tabulate is great for making quick tables that are in a ready to use format.
I use R on several projects. I prefer it over Python for any sort of data wrangling or statistical modeling. Plus Rstudio is hands down the best data science IDE in my opinion
Yes. If you work in biomedical research, biostatistics, clinical informatics, bioinformatics, computational biomedicine. This goes for both medical institutions and technologies being leveraged by Big Pharma at the moment in ML pipelines, predictive analytics, next generation sequencing technologies (I could go on and on) - A lot of people depend on Bioconductor( in R) for Analysis, visualizations, prediction etc. There is no getting around that in this field and type of work. Yes you can use Python but a majority of people use R and a lot of libraries to do this kind of work are for R.
Depends on the task. I use R when I’m trying to understand something for myself, develop theories, test ideas etc. When it’s time to implement, I transfer it all over to Python.
How can you do that? I find using both at the same time is pretty complicated, mixing the syntax, logics, and package. I literally need to refresh my knowledge by looking at the cheat sheet and practice simple lines when switching from ones to another. Frustrating! Any tips?
Yep, my old team was full of phd level data scientists so R was by far the most commonly used language. Now that I’ve moved companies I’m starting to learn python and will probably just use both depending on the task
Exactly. It's task dependent and one must be flexible. I work litigation so it's a crap shoot as to what the opposing expert will use. The more you learn the better off you will be
For non production use cases, I use R mainly because I can do something quicker.
If it has to scale it be more challenging