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Welcome to valency-anndata

valency-anndata (pronounced "valencian data") is an experimental toolkit for exploration of vote matrices of "valence data" (participants x statements), also known as polislike data.

We aim to grow and support a community of data scientists, statisticians, software developers, UI designers, and deliberative process facilitators who wish to democratize insights from valence data, and strengthen democratic self-governance.

diagram of one workflow of valencyann-data

Attribution

We build on the following tools, standards, and best-practices:

  • polis, a real-time system for gathering, analyzing and understanding what large groups of people think in their own words, enabled by advanced statistics and machine learning.
  • anndata, a tool for working with 2D annotated data matrices,
  • scanpy, a toolkit for exploring gene expression matrices (cells x genes), and
  • the scverse, the community that has grown around the above Python tooling.

We are inspired by the solutions to comparable challenges that are being resolved in the single-cell -omics community, we aspire to bring comparable rigour, collaboration, and reproducibility to the social sciences and its corresponding valence data.