Hi Guy, I have just started using plotly and R for that matter. I have been designing an app for department dashboard. Using alarm data from out systems database I would like a histogram of this information to show the most frequent alarms over the past 24 hours
. I Have the data imported from our system into the app in appropriate data frame. From this data frame I have created a subset of data for the alarm histogram. The histogram will plot the count of each unique alarm and show it accordingly. What I would like to do is rearrange this data going from Max count to min. I know this can be done in R.
below is the code:
x<- list(
title= “Alarm”,
showticklabels=FALSE
)
y<- list(
title="Number of Alarms"
)
plot_ly(x = Alarmsfiltered$ALRMTXT, type = "histogram")
layout(showlegend =FALSE,xaxis=x,yaxis=y)
})
But for simplicity is there any way of rearranging it using plotly?
Basically using the plotly function to summarise the alarm labels into a total count for each unique label.
Maybe I am doing this the wrong way completely so I apologize but I am new to all this.
Cheers,
Jonny.