Shape · Rows

Densify

Adds the rows that are missing so every key combination appears, taken from the data or from a reference table you wire in, and fills the gaps with values you choose. For example, every product for every month, with 0 sales where none were recorded.

Also known as: Complete, fill gaps

How it works

Key columns are the columns whose every combination should exist. Grid source builds that grid from Observed values, the cross product of the distinct values of each key in the data, or from a Reference table wired into the spine input, such as a Generate Series of dates. The data is joined onto the grid, and each row of Fill (defaults for added rows) names a column and the value the added rows get; columns without a fill stay NULL. In Reference mode the node does not run until the spine is wired.

Inputs and outputs

Settings

{
  keyColumns: string[]
  source: "observed" | "reference"
  fill: [{ column: string, value: string }]
}

Example

Every product for every month, with 0 where nothing sold: Key columns product and month, Grid source Observed, Fill units = 0.

More in Rows

• Filter — Keeps only the rows that meet your conditions, combined with AND or OR. For example, keep orders where the amount is over 100.
• Switch — Sends each row down one of several outputs: it goes to the first case whose condition is true, and rows that match none go to Default.
• Sort — Puts rows in order by one or more columns, ascending or descending, with blanks first or last.
• Row Limit — Keeps or drops the first or last N rows, in their current order. For example, skip three header lines or take 100 rows for a quick check.
• Top / Bottom N — Keeps the N rows with the largest or smallest values in one column, such as the 10 best-selling products. You choose what happens to ties at the cut-off.
• Distinct — Keeps one row per unique combination of key columns. You choose whether the first or last copy survives; with no keys it drops exact duplicate rows.
• Random Sample — Picks a random set of rows, either a fixed number or a share such as 10%. You can sample with replacement, or stratify by a column so each group keeps its share. Set a seed to get the same rows every time.
• Random Split — Divides rows into named groups by percentage, each on its own output, such as 80/20 train and test. Repeatable, and can keep each group's share of a column.
• Add Row Number — Numbers the rows 1, 2, 3… in a new column. You can sort first and restart the count in each group.
• Rank — Ranks rows by one or more columns, optionally within groups, so the top seller per region gets 1. You choose how ties are ranked; percentile rank is available too, and Tile splits the rows into N equal-sized buckets.
• Generate Rows — Repeats each row once per value of a range, such as 1 to a count column or a start date to an end date, and adds the generated value as a column. For a sequence with no input, use Generate Series.