[R] Creating interactive graphs and exporting to Intranet site

Bert Gunter bgunter.4567 at gmail.com
Sun Apr 23 20:42:52 CEST 2017


"I cannot seem to get them to work as i need them to"  does not
provide sufficient information for anyone to help you. See -- and
follow -- the posting guide to get useful help.

My advice would be to forget it: you need to spend (far) more time
learning about the options and tools than you have. Be realistic.

(Of course, others may diagree and be able to rescue you).

Cheers,
Bert
Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Sat, Apr 22, 2017 at 7:29 PM, Chris Battiston <darth.pathos at gmail.com> wrote:
> Good evening,
>
> I’m relatively new to using R and am trying to find a way to create a series of interconnected graphs where I have a filter (either a drop down or series of checkboxes) where when an option is selected, all graphs are updated to show that group’s data.  I need to keep these graphs internal to our organization, so can’t use Shiny etc.; I am also unable to run R or other products on my server (company policy).  So, basically what I’m trying to do is create the dashboard on my desktop, export the HTML or whatever files, and post those to the Intranet.  I have tried ggvis, iplots, and a variety of other packages but I cannot seem to get them to work as i need them to.
>
> Any suggestions?  I need to present my proposed plan to the directors on Wednesday and really don’t want to use Excel for the graphs - I want this to be intuitive for them, but ensuring that the report is easily maintained and more flexible than a Pivot Table.
>
> Thanks so much for your time and have a good evening
> Chris
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.



More information about the R-help mailing list