Cognite Data Fusion: Easier higher order univariate polynomials

Related products: Charts

It would be nice if I could specify the degree of an exp. for instance y = Ax^n+Bx^n-1+...+c would be a univariate polynomial of n’th order. For my specific usecase, x is the timeseries while {A, B,…,C} are constants.

  • see attached picture cognite_2.png for current implantation of a second order univariate polynomial. while the current set-up is very configurable, it is a bit on the cumbersome side for higher order polynomials, which is very common for flow related calculations.
Updated idea statusNew→Gathering Interest

Happy New Year @Johan!

I hope you had a nice time during the holidays.

Just wanted to update you on the Univariate Polynomial function, and a few others, that were developed and are now available on CHARTS.

Signal Generator Toolbox - Univariate Polynomial

We started development of a new toolbox, Signal Generator. The objective of this toolbox is to give user the ability to generate synthetic signals or manipulate and modify existing signals. The Univariate  Polynomial is one of these functions. I added two screenshots demonstrating it, one using a synthetic signal of a line, and the other using sensor data. 

The first version of the Signal Generator toolbox also has the following functions:

  1. Line
  2. Sine wave
  3. Univariate Polynomial
  4. White noise generator
  5. Insertion of data gaps
  6. Perturb timestamp

The last screenshot shows a combination of some of these functions. 

Hope you enjoy it.

Regards

Gustavo

 

 

Updated idea statusGathering Interest→Implemented
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