Julia DataFrames Examples - Julia DataFrames

A brief introduction to basic usage of DataFrames, by Bogumił Kamiński in https://github.com/bkamins/Julia-DataFrames-Tutorial/, December 12, 2021.

The tutorial contains a specification of the project environment version under which it should be run. In order to prepare this environment, before using the tutorial notebooks, while in the project folder run the following command in the command line:

julia -e --project=. 'using Pkg; Pkg.instantiate()'

Runtime information¶

using InteractiveUtils
versioninfo()

Julia Version 1.12.5
Commit 5fe89b8ddc1 (2026-02-09 16:05 UTC)
Build Info:
  Official https://julialang.org release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 4 × Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz
  WORD_SIZE: 64
  LLVM: libLLVM-18.1.7 (ORCJIT, icelake-server)
  GC: Built with stock GC
Threads: 2 default, 1 interactive, 2 GC (on 4 virtual cores)
Environment:
  JULIA_CI = true
  JULIA_PROJECT = /home/runner/work/jl-dataframes/jl-dataframes/Project.toml
  JULIA_DEPOT_PATH = /home/runner/.julia:/opt/hostedtoolcache/julia/1.12.5/x64/local/share/julia:/opt/hostedtoolcache/julia/1.12.5/x64/share/julia
  JULIA_NUM_THREADS = 2
  JULIA_LOAD_PATH = @:@v#.#:@stdlib

using Pkg
Pkg.status()

Status `~/work/jl-dataframes/jl-dataframes/Project.toml`
  [69666777] Arrow v2.8.1
  [6e4b80f9] BenchmarkTools v1.6.3
  [336ed68f] CSV v0.10.16
  [324d7699] CategoricalArrays v1.1.0
  [8be319e6] Chain v1.0.0
  [944b1d66] CodecZlib v0.7.8
  [a93c6f00] DataFrames v1.8.1
  [1313f7d8] DataFramesMeta v0.15.6
  [5789e2e9] FileIO v1.18.0
  [da1fdf0e] FreqTables v1.0.0
  [033835bb] JLD2 v0.6.4
  [682c06a0] JSON v1.4.0
  [b9914132] JSONTables v1.0.3
  [2dfb63ee] PooledArrays v1.4.3
  [10745b16] Statistics v1.11.1
  [2913bbd2] StatsBase v0.34.10
  [f3b207a7] StatsPlots v0.15.8
  [bd369af6] Tables v1.12.1
  [a5390f91] ZipFile v0.10.1
  [9a3f8284] Random v1.11.0

This notebook was generated using Literate.jl.