_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
julia-dataframes 1.3.6
Propagated dependencies: julia-categoricalarrays@0.10.8 julia-compat@3.39.0 julia-dataapi@1.16.0 julia-invertedindices@1.1.0 julia-iteratorinterfaceextensions@1.0.0 julia-missings@1.0.2 julia-pooledarrays@1.4.2 julia-prettytables@2.1.2 julia-reexport@1.2.2 julia-shiftedarrays@1.0.0 julia-sortingalgorithms@1.0.1 julia-tables@1.4.4 julia-tabletraits@1.0.1 julia-unitful@1.12.2
Channel: guix
Location: gnu/packages/julia-xyz.scm (gnu packages julia-xyz)
Home page: https://dataframes.juliadata.org/stable/
Licenses: Expat
Synopsis: In-memory tabular data
Description:

This package provides a set of tools for working with tabular data in Julia. Its design and functionality are similar to those of Pandas from Python or data.frame, data.table and dplyr from R, making it a great general purpose data science tool, especially for those coming to Julia from R or Python.

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