Our company uses both depending on the need. We use R for our static
dataviz and quick exploratory analysis. For that it is hard to beat.
Neither R or Python is going anywhere anytime soon and both serve different
needs with some overlap. I would recommend using both depending on the need.
On Jan 11, 2017 3:15 AM, "Rueben Ternes" <[log in to unmask]> wrote:
> Python has indeed seen a resurgence in usage. At least, if you follow Kaggle
> competitions
> <http://us1.campaign-archive1.com/?u=e4c8fb8b43860678deab268e5&id=8ae5b99ce5&e=3963306d5c>
> .
>
> As far as data visualizations go, I can't really say much about Python -
> But R's data visualizations have always left me frustrated. It has infinite
> flexibility - and infinite hassle. So building the visualization you want
> is more work than I ever have had time for.
>
> -Reuben
>
> On Tue, Jan 10, 2017 at 6:27 PM, Jillian Frederickson <
> [log in to unmask]> wrote:
>
>> Apologies if this topic has already been submitted to the listserv -- I
>> couldn't find it. I recently got in an argument with a colleague about
>> whether R's usage is declining.
>>
>> His point was that Python was experiencing a renaissance and that more
>> visualization tools were being built for it in relation to modeling and
>> statistics.
>>
>> If others agree that Python is the future, it would be great to see
>> examples of what's available in terms of visualization add-ons. Would love
>> to hear what you think.
>>
>> Cheers,
>> Jillian
>> Mizzou / missouri.edu
>> Other projects: http://www.slumbersearch.com
>> Educational Research and Methodology Listserv
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>
>
>
> --
> Reuben Ternes
> Assistant Director
> Office of Institutional Research and Assessment
> 509 Wilson Hall
> Oakland University
> 248-370-2559
> Educational Research and Methodology Listserv
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