Data Science Ontology

Welcome to the Data Science Ontology, with 153 data science concepts and 100 code annotations
The Data Science Ontology is a knowledge base about data science that aims to
  • catalog the concepts of data science
  • semantically annotate popular software packages for data science
  • power new AI assistants for data scientists
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Concepts

Concepts formalize the abstract ideas of data science.
Sample concept
Name
clusters (clustering-model-clusters)
Kind
function
Description
clusters found by a clustering model

Annotations

Annotations translate data science code into concepts
Sample annotation
Name
write CSV file (alternate) (r/utils/write-csv2)
Kind
function
Language
r R
Package
utils
Description
write data frame to CSV file (alternate)