Thank you. DataFrames is such a key library for those of us coming over from using R for data analysis. However, there is a learning curve. I had gotten used to the concise syntax and speed of data.table in R. When I first began using DataFrames it seemed by comparison overly complicated and opaque. Many times, it seemed one was tripping over their own shoelaces to achieve tasks which were trivial in data.table. Nevertheless, there is an underlying elegance and cleanness to Julia which kept me going. DataFrames would benefit from something like this, and perhaps I will try to put together an equivalent in DataFrames. I have pored over B. Kamiński’s blog posts many times. Every package, blog post, and documentation aid that makes DataFrames easier to understand and use increases adoption.
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