queryverse / queryverse/StatFiles.jl
Categorical variables for dta files
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- Dominant language
- Julia
- Stars
- 27
- Forks
- 8
- Avg merge
- 15h 51m
- Merged PRs (30d)
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Description
using ReadStat
file = download("http://www.stata-press.com/data/r15/fullauto.dta",
"data/ologit.dta")
data = read_dta(file)
using StatFiles, DataFrames
output = load(file) |> DataFrame
If you take a look at data you will see that categorical variables have a mapping to labels given by val_labels_keys and val_label_dict. Without taking into account that nuance, the default behavior specified here yields the values instead of the labels (e.g., rep77 gives [1, 2, 3, 4, 5] instead of ["Poor", "Fair", "Average", "Good", "Excellent"]). It might be the case for other file formats, but this is confirmed for Stata's dta.
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the Julia example with read_dta and StatFiles.load on the cited Stata fullauto.dta file, then inspect how val_labels_keys and val_label_dict are handled. Done means categorical values such as rep77 are loaded using their labels rather than numeric codes for Stata .dta files.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- data
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100