Weight survey data — with honest bases
Make your sample representative: DataLion computes with weighting variables, reports weighted bases and weights to target distributions — right on the dataset, with no detour through SPSS.
DataLion weights survey data right on the dataset: with weighting variables, weighted bases (weighted N) and cell weighting to target distributions. Weights come from the main dataset or a separate weight table, and weighting can optionally recalculate on every filter — with no export to SPSS.
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Weighting too often ends up in SPSS
- You export to SPSS, weight there — and re-export on every correction.
- Weighted bases don’t show up cleanly in tables, so you recompute N by hand.
- Analyze a subgroup and the weighting no longer fits — the base tips over.
- Target distributions live in a separate file, away from the actual data.
Weighting variables and weighted N
DataLion computes with weighting variables and reports a weighted N everywhere — in crosstabs, charts and reports. You see at a glance which weighted base a value rests on.
Weights come from either the main dataset or a separate weight table joined by a key. No double prep, no parallel spreadsheet.
- Weighting variables and weighted N across all analyses
- Weights from the main dataset or a separate table
- Weight table joined by a key
Cell weighting to target distributions
Bring your sample onto given target distributions with cell weighting: you set targets per cell — say age × gender or region — and DataLion weights the data to match.
Optionally you define your own target base the weights align to, so you decide which population the data is weighted against.
- Cell weighting with per-cell targets (e.g. age × gender)
- Optional target base as the reference for weighting
- Aligned to your target distribution, not a fixed default
Flexible bases per question and category
Not every question shares the same base. In DataLion you define bases per question or category — and where needed an alternative, self-computed base via an expression like {{= COUNT(...) }}.
Filtering stays clean too: with SQL filters like {{ VAR IN (1,2,3) }} and OR filters you scope subgroups exactly, without touching the raw dataset.
- Bases flexible per question or category
- Alternative, self-computed base via
{{= COUNT(...) }} - SQL filters
{{ VAR IN (1,2,3) }}and OR filters for subgroups
Filter-driven recalculation
Optionally tie weighting to filters: when someone picks a subgroup in the dashboard, DataLion recalculates the bases automatically so the weighted analysis fits that subgroup.
The feature toggles per project, and a “Reset weights” button in the admin restores the original state. Available from release 2026.1.190.
- Optionally tie weighting to filters
- Bases recalculate automatically on subgroup selection
- Admin “Reset weights” button
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More data preparation
Common questions about weighting
Can I weight survey data in DataLion?
Where do the weights come from?
Does DataLion support target weighting to set distributions?
Does weighting recalculate automatically on filtering?
Can I set bases per question myself?
Weight right on the dataset — no export
Try DataLion free: weighting variables, weighted bases and target weighting in one tool. Or book a personal demo.