Analyze scientific data and experiments
data-analysis-sciskillsetup L2★64
Tibsfox/gsd-skill-creator ↗What it does
Analyze scientific data systematically
Best for
When you have raw measurements and need to extract honest conclusions with proper error analysis.
Inputs
- · Raw measurements/observations
- · Data recording tables
- · Experimental conditions
Outputs
- · Summary statistics
- · Data visualizations
- · Statistical test results
- · Conclusions with error bounds
Preconditions
Data collected with documented units/precision; independent/dependent variables identified
Failure modes
- · Significant figures loss in calculations
- · Ignoring outliers vs. proper handling
- · Confusing SD vs. SEM in interpretation
Trust signals
- · Covers full pipeline (measurement→recording→description→inference→conclusion)
- · Emphasizes data integrity and uncertainty