Feature Request: Comprehensive Cheatsheet for DataFramesMeta.jl

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!

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.