feat(matplotlib): implement box-basic (#1360)

## Implementation: `box-basic` - matplotlib

Implements the **matplotlib** version of `box-basic`.

**File:** `plots/box-basic/implementations/matplotlib.py`

---
:robot: *[impl-generate
workflow](https://github.com/MarkusNeusinger/pyplots/actions/runs/20447776148)*

---------

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Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

Author: github-actions[bot]

plots/box-basic/implementations/matplotlib.py

@@ -1,7 +1,7 @@
 """ pyplots.ai
 box-basic: Basic Box Plot
 Library: matplotlib 3.10.8 | Python 3.13.11
-Quality: 95/100 | Created: 2025-12-14
+Quality: 92/100 | Created: 2025-12-23
 """
 
 import matplotlib.pyplot as plt
@@ -13,11 +13,11 @@
 categories = ["Engineering", "Marketing", "Sales", "Support"]
 colors = ["#306998", "#FFD43B", "#4B8BBE", "#E8A838"]
 
-# Generate realistic distribution data for each category
+# Generate realistic distribution data with varied characteristics
 data = [
     np.random.normal(75, 12, 100),  # Engineering: mean 75, std 12
-    np.random.normal(82, 8, 100),  # Marketing: mean 82, std 8
-    np.random.normal(70, 15, 100),  # Sales: mean 70, std 15
+    np.random.normal(82, 8, 100),  # Marketing: mean 82, std 8, tighter spread
+    np.random.normal(70, 15, 100),  # Sales: mean 70, std 15, wider spread
     np.random.normal(78, 10, 100),  # Support: mean 78, std 10
 ]
 

plots/box-basic/metadata/matplotlib.yaml

@@ -1,17 +1,27 @@
 library: matplotlib
 specification_id: box-basic
-created: 2025-12-14 09:03:20+00:00
-updated: 2025-12-14 09:03:20+00:00
+created: '2025-12-23T00:35:11Z'
+updated: '2025-12-23T00:38:05Z'
 generated_by: claude-opus-4-5-20251101
-workflow_run: 20205606503
-issue: 689
+workflow_run: 20447776148
+issue: 0
 python_version: 3.13.11
 library_version: 3.10.8
 preview_url: https://storage.googleapis.com/pyplots-images/plots/box-basic/matplotlib/plot.png
 preview_thumb: https://storage.googleapis.com/pyplots-images/plots/box-basic/matplotlib/plot_thumb.png
 preview_html: null
-quality_score: 95
+quality_score: 92
 review:
-  strengths: []
-  weaknesses: []
-  improvements: []
+  strengths:
+  - Excellent text sizing with proper font hierarchy (24/20/16pt)
+  - Clean KISS code structure following matplotlib best practices
+  - Uses tick_labels parameter correctly (avoiding deprecated API)
+  - Good customization of box elements (patch_artist, custom line widths, alpha transparency)
+  - Realistic department performance context with varied distributions
+  - Proper outlier display with styled flierprops
+  - Subtle grid enhances readability without distraction
+  weaknesses:
+  - Engineering (#306998) and Sales (#4B8BBE) colors are both blue shades - could
+    use more distinct colors for better differentiation
+  - Performance scores exceed 100 for some outliers which is slightly inconsistent
+    if interpreting as percentage scores