Feature Request: Comprehensive Cheatsheet for DataFramesMeta.jl

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
35/100
Issue type
Documentation
Clarity
Mostly clear
Activity status
Stale
Tech stack
julia
Domain
documentation

Research direction

Start by surveying DataFramesMeta.jl's available macros and functions, including @select, @transform, @subset, @combine, and @chain. Define the cheatsheet's scope around diverse examples, large datasets, and performance-aware comparisons with TidierData.jl; done means these requested reference and learning materials are comprehensive and accessible.

Written by the indexing model from the issue text.

Description

I’d like to suggest the creation of a comprehensive cheatsheet for DataFramesMeta.jl that can serve as a quick reference and learning aid for both new and experienced users.

✅ What the cheatsheet should include:
A complete list of available macros/functions (e.g., @select, @transform, @subset, @combine, etc.)

Multiple complex and diverse examples using the @chain macro

Use cases involving large and complex datasets

Emphasis on performance-aware patterns, especially when compared to alternatives like TidierData.jl

💡 Motivation:
In my experience, DataFramesMeta.jl performs very efficiently for data manipulation — potentially faster than TidierData.jl in certain scenarios (although this may vary). Creating an accessible, rich cheatsheet could:

Attract more users to the package by showing real-world usage.

Provide a concise learning tool for Julia users transitioning from other ecosystems (e.g., dplyr in R or pandas in Python)

Reduce the entry barrier for exploring macro-based workflows in Julia.

Thanks for your great work on this package!

Dominant language
Julia
Stars
495
Forks
56
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Getting set up

This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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