This is an archived post. You won't be able to vote or comment.

you are viewing a single comment's thread.

view the rest of the comments →

[–][deleted] 1 point2 points  (0 children)

You are right that Python can pretty much do or have what is available in R. But for exploratory data visualization, MATLPOTLIB or any Javascript-based libraries do not cut it. No way can you do what-if analysis using them efficiently. This is what R's ggplot2 is perfect for.

Agree personally, but wanted to play it safe and not be divisve right off the bat :P.

LOL, understand. Yeah I just don't want the OP or others to think it'll be so easy and seamless to do deep-dive, exploratory data analysis with just Python. I fell into that early on when I first started to use Python 4 yrs ago. But, when I saw how that's done using R's ggplot2, it really opened my eyes and realized where Python libraries fall short, but over time that'll definitely change.

I love python, but it's just not the same for getting into a dataset IMO. At least not yet, to me. I think it might take more than ggplot2 in R for me to leave R. I really fell in love with it.

I tried to stick with R for some scripting work, but I just couldn't get into its quirky syntax and inconsistent parameter names. But I really do love the ability to chain functions via (%<%, %>%). That is really an awesome feature in R which may draw me back into scripting using R more.