OBO Foundry dashboard analysis¶

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/tmp/ipykernel_323/4293058459.py:21: FutureWarning:

The `inplace` parameter in pandas.Categorical.reorder_categories is deprecated and will be removed in a future version. Reordering categories will always return a new Categorical object.

Ontologies by number of axioms

Ontologies by number of classes

Ontologies by how many ontologies use it

Different serialisations used

RDF/XML Syntax    1
Name: syntax, dtype: int64

Breakdown of used Axiom Types

count mean std min 25% 50% 75% max
AnnotationAssertion 1 2.0 NaN 2.0 2.0 2.0 2.0 2.0
Declaration 1 2.0 NaN 2.0 2.0 2.0 2.0 2.0
EquivalentClasses 1 1.0 NaN 1.0 1.0 1.0 1.0 1.0

Breakdown of used OWL Class Expression constructs

count mean std min 25% 50% 75% max
Class 1 3.0 NaN 3.0 3.0 3.0 3.0 3.0
ObjectSomeValuesFrom 1 1.0 NaN 1.0 1.0 1.0 1.0 1.0

OBO Score (Experimental)

ontology score score_dash score_impact
0 tmp 0.141 0.282 0.0

OBO Score Summary

count mean std min 25% 50% 75% max
score 1.0 0.141 NaN 0.141 0.141 0.141 0.141 0.141
score_dash 1.0 0.282 NaN 0.282 0.282 0.282 0.282 0.282
score_impact 1.0 0.000 NaN 0.000 0.000 0.000 0.000 0.000

OBO dependency graph