evalparse

This is what i looks like for me when plotting corrplot

2

 on ECharts.jl v0.4.0 and Windows 10

Consider installing gnuplot along with Gaston using Julia's artifacts system

44

This is the error I get when I try using Gaston ``` ERROR: InitError: Gaston cannot be loaded: gnuplot is not available on this system. Stacktrace: [1] error(::String) at .\error.jl:33...

Seems to take a long time to open larger tables

1

I have a table with 26 columns and 6 million rows. Seems to take a long time to open with `open_html_tables(a)`

missing values

3

`Gadfly.plot(x = [missing, 1, 2], y = [missing, 3, 4], Geom.point)` doesn't seem to plot. I think it would be a good idea to introduce a new way to deal...

Improve sort performance

3

In DataConvenience.jl I tried out a radixsort based sorting approach and I found there is still some performance gain to be had in the sorting https://github.com/xiaodaigh/DataConvenience.jl#faster-sorting-for-dataframes  The implementation is...

Wrong results with `reduce`

1

I am trying to count the number of unique in sorted array. The `Base.reduce` works as expected but `ThreadsX.reduce` gives the wrong result. See ``` function unique_count_reduce_inner((cnt, last_a), new_a) cnt...

I implemented a function with `reduce` and `ThreadsX.reduce`. The threads version failed. ``` using ThreadsX feature = rand(Int, 1_000_000) target = rand(Bool, 1_000_000) function reduce_groupreduce(feature, target) zft = zip(feature, target)...

Feature request: support disk.frame

1

Please specify whether your issue is about: - [ ] a possible bug - [ ] a question about package functionality - [x] a suggested code or documentation change, improvement...

"The readr::read_fwf() is a nice implementation of fwf input, and might be a model for work on something comparable for this package." I am quoting from https://github.com/xiaodaigh/disk.frame/issues/57

Failed to "solve" logistic regression that R can

1

[plsdel.zip](https://github.com/JuliaStats/GLM.jl/files/7277013/plsdel.zip) Unzip the above and then do this ```julia using CSV, DataFrames df = CSV.read("plsdel.csv", DataFrame) x_terms = sum(Term(Symbol("x$i")) for i in 1:569) formula = Term(:y)~ConstantTerm(-1) + x_terms using GLM...