Weight, clean, recode — without exporting

Adjust your raw data right in DataLion: weighting, cleaning, recodes and reshaping between long and wide format — on the dataset, with no detour through SPSS or Excel. Step 2 on the way from survey to dashboard.

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DataLion dashboard built from prepared market research data

DataLion prepares survey and market research data right in the tool: weighting with flexible weighted bases, cleaning missing values, recoding and computing new variables including net and top-box codes, and reshaping between long and wide format. All on the dataset, with no detour through SPSS or Excel.

  • 🇩🇪 Made in Munich
  • GDPR-compliant
  • DPA included
  • Hosted in Germany

Weighting with flexible bases

Make your sample representative: DataLion computes with weighting variables and reports weighted bases — flexibly per question or category.

Weighting can optionally be tied to filters, so bases recalculate automatically when you analyze a subgroup.

  • Weighting variables and weighted bases (weighted N)
  • Flexible bases per question or category
  • Optional filter-driven recalculation of weighting
Weighted analysis in a DataLion dashboard

Clean missing values

Define which codes count as missing values and exclude them per category. Bases stay correct and analyses stay clean — without touching the raw dataset.

  • Define missing values freely
  • Exclude empty and NULL values deliberately
  • Exclusions per category rather than global

Recodes, new variables & net codes

Recode variables, compute new variables and combine answers into net and top-box codes (top-box, top-2, top-3, bottom nets). Complex multiple responses are turned into 0/1 variables automatically.

Exactly the prep market research needs — without opening a separate statistics package.

  • Recode and compute new/derived variables
  • Net and top-box codes (top-box, top-2, top-3, bottom)
  • Multiple responses into 0/1 variables automatically

Reshape between long and wide format

Whether your data is in long or wide format: DataLion reshapes between the two and brings multiple-response and matrix questions into the structure your analysis needs.

Rotated and randomized items are mapped cleanly — ideal for recurring tracking studies.

Further along the workflow

Common questions about data preparation

Can I weight survey data in DataLion?
Yes. DataLion computes with weighting variables and reports weighted bases — flexibly per question or category. Optionally you tie weighting to filters, so bases recalculate automatically.
How does DataLion handle missing values?
You define which codes count as missing values and exclude empty or NULL values deliberately — per category rather than global. Bases stay correct without changing the raw dataset.
Can I recode and compute new variables?
Yes. You recode variables, compute new or derived variables and combine answers into net and top-box codes (top-box, top-2, top-3, bottom). Multiple responses are turned into 0/1 variables automatically.
Can DataLion reshape between long and wide format?
Yes. DataLion reshapes between long and wide format and brings multiple-response and matrix questions into the structure analysis needs — directly on the dataset, with no export.
Do I need SPSS or Excel for data preparation?
No. Weighting, cleaning, recodes and reshaping between long and wide format are all done directly in DataLion — without a detour through SPSS or Excel.

Get your data into analysis-ready shape

Try DataLion free: weight, clean, recode — then straight on to analysis. Or book a personal demo.

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