Is there any way to get realtime data updates inside Rstudio IDE, e.g. using mqtt and data frames!?
Not on the IDE as far as I know but you can certainly get mqtt messages on a shiny app for example, which could give you near real-time reactivity, also, if your data comes from a device that accepts serial connections you can take a look at this post
Thank you so much for your answer.
Regarding the Shiny option I imagine that this could be an option for many.
However, I would like to specifically perform on the fly data analysis using the R Studio IDE...as soon as the data is available to R Studio desktop.
I don't quite understand your specific use case, can you give a concrete example of your workflow or at least elaborate a little?
Note: Please bear in mind that I am not an expert in R or Shiny, and therefore I might not be aware of some of the existent packages or realtime data handling possibilities
- Data is being published in realtime using a MQTT broker
- This data is also associated to some web visualizations
- when something in this web visualization is interesting or when something is interesting in the data it would be great to be notified and to do a manual analysis immediately, e.g. using R Studio IDE
- it would be great to have a MQTT client subscriber running in R Studio IDE (especially if it is not blocking the R Studio IDE UI). Additionally, it would be great to be able to update a dataframe in R Studio in realtime and have in this same nonblocking code a flag to start a R based analysis
- or to simply be able to use the functionalities of R Studio IDE an run my analysis on the data collected so far, e.g. on the dataframe being updated by the MQTT subscriber.
- I would of course prefer not to store data in a CSV, json or database, but instead to have a multithreaded R application running in R Studio IDE, non-ui-blocking, and with variables being updated in realtime
I hope I was clear enough in my explanation and that it makes sense at all...
If the analysis is going to be manual as you said I see no point on having the data loaded on the IDE on real time (And as far as I know this is not supported on the IDE), you could simply get notified and execute a script to load the data into your R session when you start doing the manual analysis.
Obviously I don't know enough about your actual application to make a fair judgment but it seems you are envisioning an unnecessarily complicated workflow.
Thank you so much for your feedback @andresrcs
Yes, it is true and I am currently already using a manual integration procedure anyway.
The reasoning for me is that the data analysis research and experimentation (and because I am using realtime messages and MQTT) should be a step that I could do at any time without the need to store data, other than transferring it directly from MQTT to R Studio IDE. Setting up Shiny can also be costly and an unnecessary step in this very specific case.
Unnecessary, probably, but costly, not necessarily, if you don't require a lot of computation power you can have it set up for free or for very little money.
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