Protobi blog

Protobi is not just a pretty face for the data, it also provides a full-featured language for data cleaning and reshaping prior to analysis.

No matter how carefully you design a survey there are almost always changes you need to make to the data once it comes back:

  • combine multiple waves of an ATU
  • merge in translations for text open-ends in other languages
  • stack patient cases
  • calculate time intervals
  • define segmentations
  • remove outliers
  • zero-fill skipped values

You can now do all of the above (and more) within Protobi.

Previously you might have used SPSS, R, or external vendors to do this externally. You can still do that, and upload the results to Protobi as you wish.

But now you can also keep all your processing code in one place, integrated with your analysis, and documented.

Strapped for time? We’re happy to set up your data cleaning and reshaping for you, and show your analysts how to edit or author it.

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Back-to-school season entails all the necessary checkups and health exams.
Seeing where the kids fell on the height weight standards chart, I noticed that the charts all seem to conveniently stop at age 20. What would they look like if extended for adults?

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