Hi Tony, If your requirement is browser based plotting (real time or other wise), you can load the data and display it in a browser using D3. Since D3 has very low level plotting routines, you can look at C3 ( provided by www.pubnub.com) or Rickshaw (https://github.com/shutterstock/rickshaw <https://github.com/shutterstock/rickshaw>) both of which provide a higher level abstraction for plotting.
HTH, Regards, Sivakumaran > On 31-Jul-2016, at 7:35 AM, Gourav Sengupta <gourav.sengu...@gmail.com> wrote: > > If you are using Python, please try using Bokeh and its related stack. Most > of the people in this forum including guys at data bricks have not tried that > stack from Anaconda, its worth a try when you are visualizing data in big > data stack. > > > Regards, > Gourav > > On Sat, Jul 30, 2016 at 10:25 PM, Rerngvit Yanggratoke > <rerngvit.yanggrat...@gmail.com <mailto:rerngvit.yanggrat...@gmail.com>> > wrote: > Since you already have an existing application (not starting from scratch), > the simplest way to visualize would be to export the data to a file (e.g., a > CSV file) and visualise using other tools, e.g., Excel, RStudio, Matlab, > Jupiter, Zeppelin, Tableu, Elastic Stack. > The choice depends on your background and preferences of the technology. Note > that if you are dealing with a large dataset, you generally first should > apply sampling to the data. A good mechanism to sampling depends on your > application domain. > > - Rerngvit > > On 30 Jul 2016, at 21:45, Tony Lane <tonylane....@gmail.com > > <mailto:tonylane....@gmail.com>> wrote: > > > > I am developing my analysis application by using spark (in eclipse as the > > IDE) > > > > what is a good way to visualize the data, taking into consideration i have > > multiple files which make up my spark application. > > > > I have seen some notebook demo's but not sure how to use my application > > with such notebooks. > > > > thoughts/ suggestions/ experiences -- please share > > > > -Tony > > > --------------------------------------------------------------------- > To unsubscribe e-mail: user-unsubscr...@spark.apache.org > <mailto:user-unsubscr...@spark.apache.org> > >
