chore(letsplot): update quality score 95 and review feedback for scatter-marginal

Author: github-actions[bot]

plots/scatter-marginal/implementations/python/letsplot.py

@@ -1,7 +1,7 @@
 """ anyplot.ai
 scatter-marginal: Scatter Plot with Marginal Distributions
 Library: letsplot 4.9.0 | Python 3.13.13
-Quality: 89/100 | Updated: 2026-05-09
+Quality: 95/100 | Updated: 2026-05-09
 """
 
 import os

plots/scatter-marginal/metadata/python/letsplot.yaml

@@ -2,7 +2,7 @@ library: letsplot
 language: python
 specification_id: scatter-marginal
 created: '2025-12-26T15:01:12Z'
-updated: '2026-05-09T05:37:21Z'
+updated: '2026-05-09T05:43:43Z'
 generated_by: claude-haiku
 workflow_run: 25592948372
 issue: 2005
@@ -12,34 +12,36 @@ preview_url_light: https://storage.googleapis.com/anyplot-images/plots/scatter-m
 preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/scatter-marginal/python/letsplot/plot-dark.png
 preview_html_light: https://storage.googleapis.com/anyplot-images/plots/scatter-marginal/python/letsplot/plot-light.html
 preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/scatter-marginal/python/letsplot/plot-dark.html
-quality_score: 89
+quality_score: 95
 review:
   strengths:
-  - Perfect spec compliance with all required features implemented (scatter plot +
-    marginal distributions with KDE overlay)
-  - Excellent theme adaptation across both light and dark renders with proper color
-    tokens and readable text in both contexts
-  - 'Professional use of Okabe-Ito palette with thoughtful accent color choices (brand
-    green #009E73 + vermillion #D55E00)'
-  - Clean, organized layout using ggbunch with intentional transparency values (alpha
-    0.5 for histogram, 0.65 for scatter, 0.8 for KDE) that reveal data patterns
-  - Idiomatic lets-plot code with proper use of high-level API functions and correct
-    output format (plot-{THEME}.png and .html)
-  weaknesses:
-  - Design excellence scores baseline - uses theme_minimal() and standard customization
-    approach without exceptional visual embellishments or unique design thinking
+  - 'Perfect visual quality: all text legible in both light and dark themes, no overlap,
+    optimal element visibility'
+  - 'Exemplary palette compliance: correct Okabe-Ito colors (#009E73 primary), perfect
+    theme adaptation, backgrounds correct (#FAF8F1 light, #1A1A17 dark)'
+  - 'Complete specification compliance: all required features (main scatter, top/right
+    marginals, histograms with KDE) present and correctly implemented'
+  - 'Expert idiomatic letsplot usage: ggplot2-style grammar, proper aesthetics, geom
+    composition, theme customization throughout'
+  - 'Theme-aware architecture: theme tokens (INK, INK_SOFT, PAGE_BG) used consistently,
+    both light and dark renders render correctly'
+  - 'Strong visual storytelling: clear hierarchy guides viewer from title to main
+    scatter plot to supporting marginals'
+  - 'Reproducible and deterministic: np.random.seed(42) ensures consistent output
+    across runs'
+  weaknesses: []
   image_description: |-
     Light render (plot-light.png):
-      Background: Warm off-white (#FAF8F1) with subtle grid lines - correct theme color.
-      Chrome: Title "scatter-marginal · letsplot · anyplot.ai" is dark (#1A1A17) and clearly readable. Axis labels "Measurement A" and "Measurement B" are dark and prominent. All tick labels appear in soft gray (#4A4A44) and are readable. Axis lines in soft gray, grid lines subtle but visible.
-      Data: 200 scatter points in brand green (#009E73) with alpha=0.65 showing positive correlation. Top marginal histogram uses semi-transparent brand green (alpha=0.5) with orange vermillion (#D55E00) KDE line overlay. Right marginal shows Y distribution with same color scheme, flipped orientation.
-      Legibility verdict: PASS - All elements are clearly readable against light background, text hierarchy is well-maintained, no contrast issues.
+      Background: Warm off-white (#FAF8F1) — correct theme
+      Chrome: Title "scatter-marginal · letsplot · anyplot.ai" in dark ink (#1A1A17, 24pt), axis labels "Measurement A"/"Measurement B" in dark ink (20pt), tick labels in softer ink (#4A4A44, 16pt) — all clearly readable
+      Data: Main scatter plot with 200 points in bluish green (#009E73 — Okabe-Ito position 1), alpha=0.65 showing density; top marginal histogram in green with orange KDE curve (#D55E00); right marginal with same styling
+      Legibility verdict: PASS — excellent contrast, all text readable, no dark-on-light failures
 
     Dark render (plot-dark.png):
-      Background: Warm near-black (#1A1A17) with subtle grid lines - correct theme color.
-      Chrome: Title is light (#F0EFE8) and clearly visible. Axis labels are light and prominent. Tick labels in soft light gray (#B8B7B0) are readable. No dark-on-dark text failures observed. Grid lines are subtle but visible, providing reference without overwhelming.
-      Data: Scatter points in identical brand green (#009E73) as light render - data colors properly preserved. Marginal distributions show same histogram + KDE pattern with colors unchanged. The color harmony is maintained between renders.
-      Legibility verdict: PASS - All text is light-colored and readable on dark background, no dark-on-dark contrast failures, data elements clearly distinguishable, brand green remains visible and vibrant.
+      Background: Warm near-black (#1A1A17) — correct theme
+      Chrome: Title and axis labels in light ink (#F0EFE8), tick labels in softer light (#B8B7B0) — all clearly readable against dark background, no dark-on-dark failures
+      Data: Scatter points remain identical bluish green (#009E73), confirming data colors are theme-independent; marginals maintain identical green histograms and orange KDE curves
+      Legibility verdict: PASS — excellent contrast on dark background, no text legibility issues, data colors identical to light render
   criteria_checklist:
     visual_quality:
       score: 30
@@ -50,69 +52,71 @@ review:
         score: 8
         max: 8
         passed: true
-        comment: Font sizes match spec (24pt title, 20pt axis labels, 16pt tick labels),
-          all readable in both themes
+        comment: All sizes explicitly set (title 24pt, labels 20pt, ticks 16pt), perfectly
+          readable in both themes
       - id: VQ-02
         name: No Overlap
         score: 6
         max: 6
         passed: true
-        comment: No overlapping text elements, all labels clearly distinguishable
+        comment: No overlapping elements, all text fully readable
       - id: VQ-03
         name: Element Visibility
         score: 6
         max: 6
         passed: true
-        comment: All scatter points, histogram bars, and KDE lines clearly visible
+        comment: 200 markers with alpha=0.65 perfectly adapted for density, KDE curves
+          visible
       - id: VQ-04
         name: Color Accessibility
         score: 2
         max: 2
         passed: true
-        comment: 'Okabe-Ito palette (#009E73, #D55E00), colorblind-safe'
+        comment: Okabe-Ito palette CVD-safe, good contrast, no red-green as sole signal
       - id: VQ-05
         name: Layout & Canvas
         score: 4
         max: 4
         passed: true
-        comment: Good proportions, well-organized via ggbunch
+        comment: Perfect composition with marginals aligned via ggbunch, balanced
+          margins
       - id: VQ-06
         name: Axis Labels & Title
         score: 2
         max: 2
         passed: true
-        comment: Descriptive axis labels with context
+        comment: Title format correct, axis labels descriptive
       - id: VQ-07
         name: Palette Compliance
         score: 2
         max: 2
         passed: true
-        comment: 'First series #009E73, backgrounds correct, both renders theme-correct'
+        comment: 'Primary #009E73 correct, backgrounds #FAF8F1/#1A1A17 correct, theme-adaptive
+          chrome perfect'
     design_excellence:
-      score: 13
+      score: 16
       max: 20
       items:
       - id: DE-01
         name: Aesthetic Sophistication
-        score: 5
+        score: 6
         max: 8
         passed: true
-        comment: Thoughtful color choices with intentional transparency (0.5, 0.65,
-          0.8) but relatively standard implementation
+        comment: Theme tokens throughout, intentional hierarchy, professional polish
+          — above defaults
       - id: DE-02
         name: Visual Refinement
-        score: 4
+        score: 5
         max: 6
         passed: true
-        comment: Uses theme_minimal, subtle grid, appropriate whitespace but minimal
-          customization
+        comment: Spines removed, subtle grid, generous whitespace, clean minimal aesthetic
       - id: DE-03
         name: Data Storytelling
-        score: 4
+        score: 5
         max: 6
         passed: true
-        comment: Marginal distributions provide context but visual hierarchy is functional
-          rather than exceptional
+        comment: Clear focal point, visual hierarchy guides reader, correlation pattern
+          evident
     spec_compliance:
       score: 15
       max: 15
@@ -128,20 +132,19 @@ review:
         score: 4
         max: 4
         passed: true
-        comment: 'All features present: scatter, top marginal, right marginal, KDE
-          overlay'
+        comment: 'All features present: main scatter, marginals, histogram+KDE, transparency'
       - id: SC-03
         name: Data Mapping
         score: 3
         max: 3
         passed: true
-        comment: X/Y mapped correctly, axes aligned properly
+        comment: X/Y correctly assigned, all data visible
       - id: SC-04
         name: Title & Legend
         score: 3
         max: 3
         passed: true
-        comment: Correct format and descriptive labels
+        comment: Title format correct, legend appropriately omitted
     data_quality:
       score: 15
       max: 15
@@ -151,19 +154,20 @@ review:
         score: 6
         max: 6
         passed: true
-        comment: Comprehensive coverage of scatter plot type with marginal distributions
+        comment: 'Shows all aspects: bivariate relationship, x/y distributions with
+          histogram+KDE'
       - id: DQ-02
         name: Realistic Context
         score: 5
         max: 5
         passed: true
-        comment: Bivariate normal data with correlation, realistic and neutral
+        comment: Real-world plausible bivariate measurements, neutral scenario
       - id: DQ-03
         name: Appropriate Scale
         score: 4
         max: 4
         passed: true
-        comment: 'Sensible value ranges (x: ~4-16, y: ~2-17)'
+        comment: 'Sensible values (x: ~4-16, y: ~2-17), realistic correlation'
     code_quality:
       score: 10
       max: 10
@@ -173,58 +177,64 @@ review:
         score: 3
         max: 3
         passed: true
-        comment: Simple, direct implementation without unnecessary functions
+        comment: No functions/classes, straightforward flow
       - id: CQ-02
         name: Reproducibility
         score: 2
         max: 2
         passed: true
-        comment: np.random.seed(42) for deterministic results
+        comment: Seed set (np.random.seed(42))
       - id: CQ-03
         name: Clean Imports
         score: 2
         max: 2
         passed: true
-        comment: Only necessary imports (os, numpy, pandas, lets_plot)
+        comment: Only used imports
       - id: CQ-04
         name: Code Elegance
         score: 2
         max: 2
         passed: true
-        comment: No fake UI, straightforward approach
+        comment: Pythonic, appropriate complexity, no fake functionality
       - id: CQ-05
         name: Output & API
         score: 1
         max: 1
         passed: true
-        comment: Correctly saves plot-{THEME}.png and plot-{THEME}.html
+        comment: Correct output format (plot-{THEME}.png/html)
     library_mastery:
-      score: 8
+      score: 9
       max: 10
       items:
       - id: LM-01
         name: Idiomatic Usage
-        score: 4
+        score: 5
         max: 5
         passed: true
-        comment: Good idiomatic use of ggplot, geom functions, scale functions, and
-          themes
+        comment: Expert ggplot2-style grammar, proper API usage throughout
       - id: LM-02
         name: Distinctive Features
         score: 4
         max: 5
         passed: true
-        comment: Uses ggbunch for composite visualization, KDE overlay demonstrates
-          feature knowledge
+        comment: Uses ggbunch() for composition, theme tokens for adaptive rendering
+    summary:
+      total_score: 95
+      max_score: 100
+      verdict: APPROVED
+      attempt: 2
+      notes: Publication-quality implementation with excellent technical execution
+        and thoughtful design choices. All requirements met, all criteria excellently
+        satisfied.
   verdict: APPROVED
 impl_tags:
   dependencies: []
   techniques:
   - layer-composition
-  - html-export
+  - subplots
   patterns:
   - data-generation
-  dataprep:
-  - kde
+  dataprep: []
   styling:
   - alpha-blending
+  - grid-styling