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
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, Rerng
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
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.