Random
Generates a column of random numbers spread evenly between a minimum and a maximum. Useful for stress-testing a model with varied inputs, or for sketching a what-if before real data arrives. Supply a Seed value when you need the same "random" numbers on every refresh.
Inputs
| Input | Accepts | Required |
|---|---|---|
Min | Value (a single number) | Yes |
Max | Value (a single number) | Yes |
Count | Value (a single number) | Yes |
Seed | Value (a single number) | Optional |
Outputs
| Output | Produces |
|---|---|
Result | Series (a list of numbers) |
Settings
Typed in on the node or set by the assistant, not wired.
| Setting | Default | Notes |
|---|---|---|
Min | 0 | Lower bound of the generated values. Default 0. |
Max | 100 | Upper bound of the generated values. Default 100. |
Count | 10 | How many values to generate. Default 10. |
Example
You are pressure-testing a revenue model before the actuals land. Set Min to 80000, Max to 120000, and Count to 12 to produce twelve months of placeholder revenue between $80,000 and $120,000. Feed that into the rest of the pipeline and swap in the real column later without rebuilding anything.
Tips
Without a Seed, the numbers change every time the pipeline recalculates. Set Seed to any whole number (say 42) to freeze them, which keeps comparisons stable while you tweak the rest of the model.