4
97%
master: 100%

Ran 08 Jan 2026 06:05PM UTC

Files 7

Run time 0s

Badge

Embed ▾

Committed 08 Jan 2026 10:04AM UTC coverage: 96.765%. First build

Job # 20826615605.4

Build Type

push

github

Committed by

idanmoradarthas

Commit Message

Enhance _plot_categorical_vs_categorical function to improve missing value handling

- Updated the docstring to clarify how missing values are managed based on the remove_na parameter.
- Implemented logic to add a "Missing" category for NaN values when remove_na is False.
- Adjusted crosstab creation to include or exclude missing values based on the remove_na setting, ensuring accurate representation in visualizations.

Run Details

658 of 680 relevant lines covered (96.76%)

0.97 hits per line

idanmoradarthas / DataScienceUtils / 20826615605 / 4
97%
master: 100%

README BADGES
x

Markdown

Textile

RDoc

HTML

Rst

Source Files on job windows-latest-python-3.13 - 20826615605.4

idanmoradarthas / DataScienceUtils / 20826615605 / 4 97% master: 100%

README BADGES x

Markdown

Textile

RDoc

HTML

Rst

Source Files on job windows-latest-python-3.13 - 20826615605.4

idanmoradarthas / DataScienceUtils / 20826615605 / 4
97%
master: 100%

README BADGES
x