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Re:Advantages of Using R Notebooks for Data Analysis Instead... by nl on Saturday June 10, 2017 @07:01AM (#14526917)
Can I say how damn good notebooks (any notebooks) are for data exposition compared to traditional coding environments?

I'm more familiar with Jupyter than R Notebooks. I'd second the point about version control in Jupyter being.. hard. There isn't really a good pattern for it yet.

I would note that I believe the latest version of Jupyter has prettier tables though!

Edit: Also, matplotlib makes me sad. Surely there could be something better which abandons it completely?

Re:Advantages of Using R Notebooks for Data Analysis Instead... by noobiemcfoob on Saturday June 10, 2017 @07:34AM (#14526985)
Re: matplotlib

You have other options like bokeh and plotly

Re:Advantages of Using R Notebooks for Data Analysis Instead... by ctlaltdefeat on Saturday June 10, 2017 @08:00AM (#14527035)
And for options utilizing grammar of graphics (really worth knowing, even if you're not coming from the R world) you have ggplot and plotnine, which are both sort of ports of ggplot2 from R.
Re:Advantages of Using R Notebooks for Data Analysis Instead... by nonbel on Saturday June 10, 2017 @09:54AM (#14527312)
> "grammar of graphics (really worth knowing, even if you're not coming from the R world)"

Can you explain why? I've never gotten the appeal. Besides the concept, the classic implementation (ggplot) does not make nice graphs in my opinion. To me these look wrong... I guess I'm not quite sure why. There is something about it too cookie cutter, cartoonish and information-light: http://r4stats.com/examples/graphics-ggplot2/

Re:Advantages of Using R Notebooks for Data Analysis Instead... by minimaxir on Saturday June 10, 2017 @11:14AM (#14527625)
ggplot has many built-in themes if you dislike the defaults. theme_minimal() is a newer one which is close to the FiveThirtyEight style and it works great.
Re:Advantages of Using R Notebooks for Data Analysis Instead... by nonbel on Saturday June 10, 2017 @06:55PM (#14529673)
It looks better, but still I don't really get what is so great about ggplot. With base R I can pretty much make a chart look however I want based on the context, if it is just something quick and easy for me to check something (where axis labels dont really matter etc) it is like one line of code too.