New Pipeline

Build the ordered chain of Transform Steps. Each step is a typed Rust plugin with its own JSON config schema.

3 Transform Chain

4 Validation 5 Schedule & Alerts 6 Review & create

Step 3 · Transform Chain

Order matters. Drag to reorder. The chain runs as Phase 3 — after Field Mapping, before the built-in Authority Filter.

⋮⋮ 1. NormaliseCodes applies Source Code Overrides

Edit Remove

prefix=SE · pad_length=4 · use_overrides_from=SCB BE0101N1

⋮⋮ 2. HarmoniseRefDate

Edit Remove

source_anchor=Dec-31 · target_anchor=Jan-1 · shift=+1y

⋮⋮ 3. ComputeOutput editing

Done Remove

Output column

From the indicator definition.

Expression

Refers to the post-mapping schema.

+ Add a Transform Step pick from the catalogue ↓

HarmoniseRefDate Recodes 31 Dec ↔ 1 Jan reference dates (e.g. SCB Population vs SSB Population). RescaleToLFS Rescales national rates to Eurostat LFS Benchmarks at NUTS3 level. AggregateAge Aggregates 1-year age bands into 5-year groups or totals. AgeRangeRescale Reads another Indicator (Total Population) to compute a year-specific age-band ratio. Adds the producing Pipeline as a dependency. FilterRows Drops rows by predicate (e.g. year >= 1990). ExtractMuncodeFromLabel Pulls a numeric muncode out of composite labels (e.g. FI "KU091 Helsinki"). ConstantField Sets a column to a constant value (rare; CSV-upload pipelines).

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Phase 3 input shape

After Field Mapping, before transforms.

{
  muncod_nordregio: "0114",  ← raw
  year:             2024,
  sex:              "T",
  age_group:        "T",
  value:            152347
}

Phase 3 output shape

After all 3 steps.

{
  muncod_nordregio: "SE0114", ← prefixed
  year:             2024,     ← shifted +1y
  sex:              "T",
  age_group:        "T",
  population:       152347    ← output column
}