Charts: I have a feature request. What do I do?

Celanese - Feature Request - Nice to Have - Log Scales for Y-axis

Hoping that this is a simple implementation. It would be great if we had the option to toggle a time series’ y-axis to/from log scale without making a calculation to perform a logarithm transformation on the data. 

@Brendan Buckbee thanks, I’ll add this to our backlog. We’re doing some design work now to improve the usability and functionality of the y-axis controls now, so it’s a good time for us to consider how we might add this sort of added functionality UX-wise.

When it comes to how you imagined this feature to work, would you prefer that the scale toggle is only a feature related to the y-axis itself (meaning, no new calculation needs to be auto-created in the background)? Or would you want or expect a new calculation to be automatically added to the chart list when using this feature?

Celanese - Feature Request - Nice to Have - Vessel Volume Calculations

Vessel volume calculations would be very useful to have given a level time series and some basic inputs about the vessel. Horizontal Vessels in particular are time consuming to set up and lead to overly long calculations (prone to error) in PI in order to get an accurate volume on the vessel. In our industry the 2:1 elliptical heads are almost always what we use in our vessels so having a calculation just for those would help a lot. Eventually it would be good to be able to select a vessel head geometry and get accurate volume results in charts that way. Here’s a resource for the calculations that we use

https://neutrium.net/equipment/volume-and-wetted-area-of-partially-filled-horizontal-vessels/

Thanks,

Brendan

@Brendan Buckbee that’s a great request. Some of my colleagues in Cognite may have already built a function similar to this for a use case delivery with another customer.

I’ve added this request to our InDSL backlog and will follow up once one of our data scientists are able to work on it. 

Hi,

Not a critical feature, but very nice to have. Could the threshold events search in the raw data instead of using the aggregated data points? I am getting 0 hits, but I can see that we are over the limit several times, and when zooming in it will update with correct event count.

Hei Eric,

In Function/Detect/Change Point Detection, would it be possible to add the choice to select “change on positive” or “change on negative” changes in the value of the series of interest? Or does anybody in the group have another way of accomplishing this? 

@144842 yes, this is absolutely something we intend to support. We recently had a discussion in our team about a possibility for how to do so, so as soon as we have an update, I’ll be sure to let you know.

In the meantime, as you know, the best solution is to zoom in to a smaller range of time to perform this threshold calculation on a lower quantity of data. 

I also see that we need to be displaying a similar status warning if and when this threshold calculation is being run on aggregated/downsampled data (just like we do for calculations). FYI @Magdalena Rut regarding the update for the thresholds panel UI design you’re working on.

@Richard Manson Have you tried using the CUSUM function? It has some parameters that you should be able to tailor to detect these changes – likely with one calculation for positive changes and the other for negative changes. 

It might also be worth reposting this in the main Charts group or the Hub community page in order to get more eyes and input on this. 

Let me think about some other ways to solve this using the available functions and get back to you next week. FYI @Cristina Ferrer Teixidor, this was the case I spoke with you about. 

@Eric Stein-Beldring  following up on the post by Brendan on volume calculations of vessel above in this thread. Has the data scientist looked at it? can it progress?

@ibrahim.alsyed there has been an ongoing discussion among members of our data science team, but unfortunately the function is not yet ready for review or use. We’ll be sure to keep you all up-to-date once we have made further progress and the function is ready for use in Cognite Data Fusion.