Std / Aggregation Layer

Calculate standard deviation across specified columns, similar to pandas std() or numpy std().

Mathematical form: $σ = \frac{\sum _{i = 1}^{N} ( x _{i} - x ˉ ) ^{2}}{N - ddof}$ Where:

$σ$ is the standard deviation
$N$ is the number of observations
$\overset{x}{ˉ}$ is the mean
ddof adjusts degrees of freedom

Common applications:

Measuring data variability
Quality control monitoring
Risk assessment in finance
Scientific measurement uncertainty
Process control in manufacturing
Performance variation analysis

Provides a simpler interface for single-column variance analysis.

Table

Select

[column, ...]

Numeric columns to analyze. Each selected column must contain numeric data suitable for standard deviation calculation. Non-numeric columns will result in null values.

Ddof

Delta Degrees of Freedom (ddof) for variance adjustment:

1 (default): Sample standard deviation
0: Population standard deviation Affects the denominator in calculation (N - ddof)