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Add count labels and ordering options to `visualize_feature` bar plots (#78)

* Update dependencies and versioning for data-science-utils

- Bump pyarrow to version 22.0.0 and ruff to version 0.14.3 in pyproject.toml.
- Increment package version to 1.10.0rc2 in __init__.py.
- Adjust version test in test_version.py to reflect the new version.

* Add show_counts parameter to visualize_feature for count plots

- Introduced a new parameter `show_counts` to the `visualize_feature` function, allowing users to display count values on top of bars in count plots.
- Replaced the seaborn countplot with a custom matplotlib bar plot for improved flexibility and control over the visualization.
- Updated documentation to reflect the new parameter and its functionality.

* Enhance visualize_feature with ordering parameter for categorical plots

- Added an `order` parameter to the `visualize_feature` function, allowing users to specify the order of categorical levels in count plots.
- Updated documentation to detail the new ordering options, including sorting by count and alphabetical order, as well as accepting explicit lists.
- Modified tests to validate the new ordering functionality for various feature types.
- Adjusted plot sizes in tests for better visualization of results.

* Update boolean feature visualization and tests

- Changed the boolean feature visualization image in README.md and preprocess documentation to reflect the new count display format.
- Updated the test for boolean feature visualization to use the new parameter and added parameterization for testing both display options.
- Removed the old boolean visualization image as it is no longer needed.

* Update feature visualization images and tests

- Replaced outdated visualization images in README.md and preprocess documentation with new images reflecting updated float, integer, datetime, and categorical feature visualizations.
- Modified tests to accommodate new visualization formats and added par... (continued)

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