Screen freeze

[bumbeishvili]

I am not sure if this counts as an issue.

I have a fairly low, 12 data points (last 12 days covid19 new cases in Europe)

data = [
  {"x":1,"y":18539},{"x":2,"y":20695},{"x":3,"y":21848},
  {"x":4,"y":19121},{"x":5,"y":23501},{"x":6,"y":28724},
  {"x":7,"y":28061},{"x":8,"y":36222},{"x":9,"y":37756},
  {"x":10,"y":38212},{"x":11,"y":31629},{"x":12,"y":32282}
]

and I am trying to fit 3 order polynomial regression

polynomialRegression = d3.regressionPoly()
   .x(d => d.x)
   .y(d => d.y)
   .order(3);

And it freezes the screen indefinitely.

Here is an observable notebook where this issue is reproduced (just uncomment the first line)
https://observablehq.com/d/69dd1849304db49f

Question: Is it normal for this function to behave like this when we have such a small dataset?

[Fil]

You can fix this particular notebook by dividing y:

polynomialRegression = d3.regressionPoly()
  .x(d => d.x)
  .y(d => d.y / 1000)
  .order(3);

I've noticed a similar issue if the value of x is huge (for example, working with timestamps). Rescaling the whole dataset to a "reasonable" range of values is often necessary. This could (should?) probably be done internally.

[bumbeishvili]

Looks like this fixes it, thank you very much.

This could (should?) probably be done internally.

This would be nice