Resources for data cleaning

This page summarizes the projects mentioned and recommended in the original post on reddit.com/r/rstats

Our great sponsors
  • Scout APM - Less time debugging, more time building
  • JetBrains - Developer Ecosystem Survey 2022
  • SonarLint - Deliver Cleaner and Safer Code - Right in Your IDE of Choice!
  • r4ds

    R for data science: a book

    Not sure how versed you are in R, supposing you currently dabble, this is a good way to get you wrangling like it's going outta style: https://r4ds.had.co.nz/

  • db-benchmark

    reproducible benchmark of database-like ops

    Language isn't really important here; what's important is tooling, and R definitely has the tooling. I would look at this benchmark reference for database-like operations, and you'll see that data.table (a very fast and memory-efficient R package) consistently ranks as one of the fastest tools out there that can also support a wide range of memory loads.

  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

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