feat(plotly): implement box-basic

plots/box-basic/implementations/plotly.py

@@ -1,7 +1,7 @@
 """ pyplots.ai
 box-basic: Basic Box Plot
 Library: plotly 6.5.0 | Python 3.13.11
-Quality: 100/100 | Created: 2025-12-14
+Quality: 91/100 | Created: 2025-12-23
 """
 
 import numpy as np
@@ -13,11 +13,11 @@
 categories = ["Engineering", "Marketing", "Sales", "HR", "Finance"]
 colors = ["#306998", "#FFD43B", "#4B8BBE", "#FFE873", "#646464"]
 
-# Generate realistic salary data for each department
+# Generate realistic salary data for each department with varying distributions
 data = {
     "Engineering": np.random.normal(95000, 15000, 100),
     "Marketing": np.random.normal(75000, 12000, 80),
-    "Sales": np.random.normal(70000, 20000, 120),
+    "Sales": np.random.normal(70000, 20000, 120),  # Higher variance for more outliers
     "HR": np.random.normal(65000, 10000, 60),
     "Finance": np.random.normal(85000, 14000, 90),
 }

plots/box-basic/metadata/plotly.yaml

@@ -1,17 +1,28 @@
 library: plotly
 specification_id: box-basic
-created: 2025-12-14 09:03:27+00:00
-updated: 2025-12-14 09:03:27+00:00
+created: '2025-12-23T00:35:23Z'
+updated: '2025-12-23T00:38:11Z'
 generated_by: claude-opus-4-5-20251101
-workflow_run: 20205607260
-issue: 689
+workflow_run: 20447776078
+issue: 0
 python_version: 3.13.11
 library_version: 6.5.0
 preview_url: https://storage.googleapis.com/pyplots-images/plots/box-basic/plotly/plot.png
 preview_thumb: https://storage.googleapis.com/pyplots-images/plots/box-basic/plotly/plot_thumb.png
 preview_html: https://storage.googleapis.com/pyplots-images/plots/box-basic/plotly/plot.html
-quality_score: 100
+quality_score: 91
 review:
-  strengths: []
-  weaknesses: []
-  improvements: []
+  strengths:
+  - Excellent text sizing with title at 32pt and axis labels at 24pt for high readability
+    at 4800x2700
+  - Clean, professional appearance with plotly_white template
+  - Well-chosen realistic scenario (salary distributions by department) that demonstrates
+    box plot features
+  - Good feature coverage showing outliers, varying medians, and different distribution
+    spreads
+  - Proper dollar formatting on Y-axis with tickformat
+  - Generates both PNG and HTML outputs for interactivity
+  weaknesses:
+  - The $5k outlier in Sales is unrealistically low for annual salary data
+  - Does not leverage Plotly-specific features like custom hover templates or quartile
+    annotations