[S] Among R, Python, SQL, and SAS, which language(s) do you prefer to perform data manipulation and merge datasets?

This page summarizes the projects mentioned and recommended in the original post on /r/statistics
Data Analysis data-frame Python dataframesmeta Pandas

WorkOS
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
Our great sponsors

  • DataFramesMeta.jl

    Metaprogramming tools for DataFrames

    • I do get the feeling though that Python people are considered “more sophisticated” as programmers than R. But I think Julia is gaining traction now and it can handle general programming tasks better than R can, while still remaining pretty similar so its worth learning too. It has DataFramesMeta.jl: https://github.com/JuliaData/DataFramesMeta.jl. Works like dplyr.

  • siuba

    Python library for using dplyr like syntax with pandas and SQL

    • Btw Python got something similar to dplyr recently: https://github.com/machow/siuba. Never again will I be doing pandas chaining when I do use Python lol.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts