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So I have data from several 100s of pumping stations. In a specific point in time there is a radical decline in what the sum of all pumping stations is delivering (it declines). I need an analysis that can verify if the decline comes from one, or several, of the pumps or if it is due to a "general" decline on all or most of the pumps?

 

Could this be solved in FME?

 

I have 20+ years of data so there should be sufficient amounts for statistical analysis. However, it is more important to be able to dispaly the results (in for instance in a graph) visually than for instance R technical value. Even if both could be of interest.

 

Would appriciate all the input and since I am doing all the data prep in FME it would be great if this issue also could be solved in FME :)

 

Regards

I, this unfortunately didn't seem to spike the community interest 😂

 

For future reference, I normalized the data against the mean which gave a slightly better understaning of where deviations occur. But I am not fully satisfied, even when normalized the data still looks a bit divergent.

So I am still open for suggestions 🙂


If it's just visualizing the data then you may want to consider writing HTML and using the chart.js library to generate the charts. If there's a dip across multiple stations that should become visible easily I guess.


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