pdeffebach

The implementation of this is actually pretty complicated and deviates from DataFrameMacros.jl. This is because we allow-re-use of new columns created during an expression. If I can't make the implementation...

I would like something like the following ``` 1 + 1 3 + 4 ``` to get translated as ``` julia> 1 + 1 2 julia> 3 + 4 7...

Currently, `ū` gets translated to ``` julia> latexify("ū") L"$\textnormal{\={u}}$" ``` Is there any interest in turning it into `\bar{u}`? Perhaps we can have a "math" option that helps this?

Feature request: Drop down menu for searches

1

I use [Radian](https://github.com/randy3k/radian), an R REPL, when working in R. It was heavily inspired by Julia. It has one feature when I really like, and that's a drop-down menu when...

AoG doesn't respect the `levels` of a categorical vector when transformation is applied

1

Here's an MWE ``` julia> using CategoricalArrays; julia> d = DataFrame(x = ["z", "a", "b"], v = [1, 2, 3]); julia> d.x = categorical(d.x, ; levels = d.x); julia> data(d)...

Ignore missing values

9

It would be really nice if AlgebraOfGraphics.jl ignored missing values better. Current behavior is un-intuitive and likely not desired by anyone: It treats the entire column as categorical. The desired...

Make the `color = dims(1)` correspond to the `mapping` for wide data

8

## Problem description I am making a line plot with wide data. The command is ``` p = data(df_collapsed) * mapping(:mean_age, [:N, :U, :B, :W], color = dims(1) => renamer(["N",...

Specify an environment containing IJulia *only* when started via kernel

3

My understanding is that currently, as long as Julia is listed on the kernel file, you can do ``` jupyer lab --kernel=julia-1.8 ``` but if your Julia 1.8 environment doesn't...

When I open the package installer and search `LaTeXTools`, nothing pops up. I installed the package fine under Sublime Text 3. I guess the package files are still used even...

`errormissing` would be like `passmissing` but would throw an error if it encountered a `missing` input. So if someone wanted `isodd(x)` to always return `true`, they could do `errormissing(isodd)`.