Data preparation
Weight, clean, recode — without exporting
Adjust your raw data right in DataLion: weighting, cleaning, recodes and reshaping between long and wide format. All work happens on the dataset, with no detour through SPSS or Excel. Step 2 on the way from survey to dashboard.
DataLion prepares survey and market research data directly in the tool. This includes weighting with flexible weighted bases, cleaning missing values, recoding and computing new variables with net and top-box codes. Reshaping between long and wide format also happens on the dataset, with no detour through SPSS or Excel.
- 🇩🇪 Made in Munich
- GDPR-compliant
- DPA included
- Hosted in Germany
- 🌐 Interface in EN, DE, FR & NL
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
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?
How does DataLion handle missing values?
Can I recode and compute new variables?
Can DataLion reshape between long and wide format?
Do I need SPSS or Excel for data preparation?
Get your data into analysis-ready shape
Try DataLion free: weight, clean, recode — then straight on to analysis. Or book a personal demo.