Skip to contents

Convert raw issue data into a tidy data frame

Source: R/issues.R
tidy_issues.Rd

`tidy_issues()` converts the list returned by [get_issues()] into a tidy data frame. Each row represents one issue within one repository and includes the issue number, title, and associated labels.

This function is intentionally general and does not filter for specific labels. Filtering (for example, identifying tech debt issues) should be done in downstream analysis.

Usage

tidy_issues(issue_list)

Arguments

issue_list

A named list of issue objects returned by [get_issues()].

Value

A data frame with the following columns: * `repo_name`: the name of the repository, * `issue_number`: the issue number, * `issue_title`: the issue title, * `labels`: a comma-separated string of all labels applied to the issue.

Details

The function extracts the issue number, title, and labels from each issue object. Labels are returned as a comma-separated string. Missing or empty issue lists are handled safely, and missing values are recorded as `NA`.

See also

* [get_issues()] for retrieving raw issue data

Examples

if (FALSE) { # \dontrun{
issues <- get_issues(
  repos = c("repo1", "repo2"),
  org = "my-org"
)

tidy_issues(issues)
} # }