> For the complete documentation index, see [llms.txt](https://docs.fractalworks.io/joule/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.fractalworks.io/joule/components/analytics/analytic-tools/analytic-functions/stateless/normalisation/standardisation.md).

# Standardisation

## Objective 

Standardization is another Feature scaling method where the values are centered around the mean with a unit standard deviation. This means that the mean of the attribute becomes zero, and the resultant distribution has a unit standard deviation.

## Example

```yaml
time window:
  emitting type: slidingStandardNormalization
  window functions:
    normalization:
      function:
        standard norm: {}
      attributes: [ ask,bid ]
  policy:
    type: slidingTime
    slide: 500
    window size: 2500
```

### Output attributes

After processing, attributes receive automatically applied postfix ID = `STANDARD_NORM`

| Before processing | After processing    | Type         |
| ----------------- | ------------------- | ------------ |
| ask               | ask\_STANDARD\_NORM | double value |
| bid               | bid\_STANDARD\_NORM | double value |