I have not tried it. I like that the project makes broadcasting invisible, I dislike that it tries to completely replicate R's semantics and Tidyverse's syntax. Two examples: firstly, the tuples vs scalars thing doesn't seem very Julia to me. Secondly, I love that DF.jl has :column_name and variable_name as separate syntax. Tidier.jl drops this convention (from what I see in the readme).
> I'm not sure if someone is looking directly at the data.table parts
I believe there was some effort to make an i-j-by syntax in Julia but it fell through or stopped getting worked on. By this syntax I mean something like:
# An example of using i, j, and by
@dt flights [
carrier == "AA",
(mean(:arr_delay), mean(:dep_delay)),
by = (:origin, :dest, :month)]
# An example of expressions in by
@dt flights [_, nrows, by = (:dep_delay > 0, :arr_delay > 0)]
The idea of ijby (as I understand it) is that it has a consistent structure: row selection/filtering comes before column selection/filtering, and is optionally followed by "by" and then other keyword arguments which augment the data that the core "ij" operations act upon.
data.table also has some nifty syntax like
data[, x := x + 1] # update in place
data[, x := x/nrows(.SD), by = y] # .SD = references data subset currently being worked on
which make it more concise than dplyr.
The conciseness and structure that comes from data.table and its tendency to be much less code than comparable tidyverse transformations through some well-informed choices and reservations of syntax make it nicer for me to use.
I have not tried it. I like that the project makes broadcasting invisible, I dislike that it tries to completely replicate R's semantics and Tidyverse's syntax. Two examples: firstly, the tuples vs scalars thing doesn't seem very Julia to me. Secondly, I love that DF.jl has :column_name and variable_name as separate syntax. Tidier.jl drops this convention (from what I see in the readme).
> I'm not sure if someone is looking directly at the data.table parts
I believe there was some effort to make an i-j-by syntax in Julia but it fell through or stopped getting worked on. By this syntax I mean something like:
The idea of ijby (as I understand it) is that it has a consistent structure: row selection/filtering comes before column selection/filtering, and is optionally followed by "by" and then other keyword arguments which augment the data that the core "ij" operations act upon.data.table also has some nifty syntax like
which make it more concise than dplyr.The conciseness and structure that comes from data.table and its tendency to be much less code than comparable tidyverse transformations through some well-informed choices and reservations of syntax make it nicer for me to use.