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Overview

The Descriptive Statistics node summarizes the columns of a table with descriptive statistics. For each selected variable, one or more statistics can be computed, and the result is presented as a table with one column per variable-and-statistic combination.

The node sits under the Statistics tab and, unlike the statistical-plot nodes, produces a tabular summary rather than a chart. Configuration has three parts: a Target Variable, the variables to summarize, and a per-variable statistic selection.

Note: “Workflow” is the in-UI term for what some Weave documentation calls a pipeline. This reference uses “Workflow.”

When to use it

  • Profiling columns with summary statistics before deeper analysis.
  • Checking data quality through counts of nulls, negatives, and outliers.
  • Comparing the distribution shape of columns via percentiles.
  • Producing a compact statistics table for selected variables.

Configuration components

ComponentDescription
Select Target VariableDropdown that selects the target variable of the dataset.
Descriptive Statistics (Select)Opens the popup listing the columns to summarize.
Variable checkboxesChoose the variables to compute statistics for.
Select Aggregation FunctionPer-variable dropdown to choose one or more statistics; selections appear as removable tags.
ApplyCommits the variable and statistic selections.

Available statistics

StatisticDescription
MeanThe average of the values.
CountThe number of values.
Standard DeviationThe standard deviation of the values.
KurtosisThe kurtosis of the distribution.
SkewnessThe skew (asymmetry) of the distribution.
25th PercentileThe first-quartile value.
50th PercentileThe median value.
75th PercentileThe third-quartile value.
MinimumThe smallest value.
MaximumThe largest value.
Data TypeThe data type of the column.
Negative Value countThe number of negative values.
Null Value CountThe number of null values.
Outlier CountThe number of outlier values.

Output

Output elementDescription
Result columnsOne column per variable-and-statistic pair, named variable_statistic (e.g. SEPALWIDTHCM_Mean).
Result rowThe computed values for the selected statistics.

Key behaviors

Tabular output. Unlike the statistical-plot nodes under the Statistics tab, Descriptive Statistics returns a summary table rather than a chart.

Per-variable statistics. Each selected variable carries its own set of statistics, so different columns can be summarized differently in one node.

Column naming. Each result column is named by combining the variable and the statistic, so the table can hold many statistics across many variables without ambiguity.