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Preparation node

Fill Missing

Fill missing values with a constant or a column statistic (mean/median/mode).

Category
Preparation
Also known as
impute, imputation

What it does

Fills gaps in a column with a fixed value or a statistic computed from the column itself: mean, median, or most frequent (mode). One rule per column. You can also treat blanks or a specific sentinel as “missing,” not just nulls.

Inputs and outputs

InputsOne.
OutputsOne.

When to use it

  • Replace nulls with a sensible default
  • Impute missing numbers with the mean / median
  • Fill missing categories with the most common value

Examples

Constant

region → Fixed value 'Unknown'

Average

age → Mean

Numeric only; integer columns round.

Most frequent

category → Mode

Treat 'N/A' as missing

status → value 'Active', missing value 'N/A'

Under “What counts as missing.”

Tips

  • Mean and median are numeric-only. Mode and a fixed value work on text, number and true/false columns; decimal, date and timestamp columns are not supported yet. For one of those, use a Formula with COALESCE([price], 0), or COALESCE([shipped], DATE '2026-01-01') for a date, or change a decimal to Double in Manage Columns first. The canvas marks such a rule before you run it.
  • Statistics are computed over the whole column (a Test run uses only its sample).
  • The column keeps its type, so integer statistics are rounded.