Analyse measurement data with AI-written code

Researchers analyse measurement data and experiments with AI-written code

Ready to goAI Act: no extra obligationsCreating software & codeSchools & universities

Fits: IT & software development · Research & development

Analysis scripts for measurement series and experiments are produced in hours instead of days, even with little programming experience. Because tests and documentation come with them, the analysis remains traceable and repeatable.

Is this for you?

  • You regularly analyse measurement series, experimental data or surveys by hand or in Excel and want to automate this in Python or R.
  • Your data is in a table (CSV, Excel) with a fixed column structure.
  • You can at least read code and know which result is plausible for your subject.
First step today

Invent a small test table with the same structure as your real measurement data, but with values whose result you know in advance. Have an analysis script with a test written using the template below, run it and check whether the known result comes out. You do not need real measurement data for this.

How to go about it

  1. Describe the analysis and the target quantity precisely
  2. Prepare a column description and test data
  3. Have the analysis script written
  4. Check the script against known results
  5. Apply it to the real measurement series
  6. Version the script and archive it with the work

Templates to copy

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Included in the training

The complete guide

  • 6 steps explaining exactly what to do
  • 3 proven templates to copy into your own AI
  • Safe use: data, checking, deciding, informing
  • Pitfalls, effort and how to recognise success

With the training you get all 430 guides for as long as your access runs.

See the trainingOne-off per person, no subscription

Same approach, other use cases

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SH-10 · Legal status 08.10.2026