Computes the standard deviation across all column values of Integer or Decimal type. |

The **standard deviation** of a set of values attempts to measure the spread in values around the mean and is used to measure confidence in statistical results. A standard deviation of zero means that all values are the same, and a small standard deviation means that the values are closely bunched together. A high value for standard deviation indicates that the numbers are spread out widely. Standard deviation is always a positive value.

- If a row contains a missing or null value, it is not factored into the calculation.
- If no numeric values are detected in the input column, the function returns
`0`

.

This function is calculated across the entire population.

- For more information on a sampled version of this function, see STDEVSAMP Function.

The square of standard deviation is variance. See VAR Function.

For a version of this function computed over a rolling window of rows, see ROLLINGSTDEV Function.

stdev(myRating) |

**Output:** Returns the standard deviation of the values from the `myRating`

column.

stdev(function_col_ref) [group:group_col_ref] [limit:limit_count] |

Argument | Required? | Data Type | Description |
---|---|---|---|

function_col_ref | Y | string | Name of column to which to apply the function |

For more information on the `group`

and `limit`

parameters, see Pivot Transform.

Name of the column the values of which you want to calculate the variance. Column must contain Integer or Decimal values.

- Literal values are not supported as inputs.
- Multiple columns and wildcards are not supported.

Required? | Data Type | Example Value |
---|---|---|

Yes | String (column reference) | `myValues` |