feat(highcharts): implement scatter-marginal

[github-actions]

Implementation: scatter-marginal - python/highcharts

Implements the python/highcharts version of scatter-marginal.

File: plots/scatter-marginal/implementations/python/highcharts.py

Parent Issue: #2005

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🤖 impl-generate workflow

[claude]

AI Review - Attempt 1/3

Image Description

Light render (plot-light.png): The plot features a warm off-white background (#FAF8F1) with a three-panel scatter-marginal layout. The main scatter plot (center-left) shows 150 points in brand green (#009E73) with opacity 0.7, displaying a clear negative correlation between Temperature (°C) on the X-axis and Relative Humidity (%) on the Y-axis. The top histogram renders column bars in the same green, showing the temperature distribution with peak frequency around 22-25°C. The right histogram displays horizontal bars showing humidity distribution peaking around 50-58%. All axis labels are descriptive with units and clearly readable in dark text (#1A1A17). Tick labels use the secondary text color (#4A4A44) with excellent contrast. The title "scatter-marginal · highcharts · anyplot.ai" is bold and prominent. Grid lines are subtle dashed style, properly supporting the visualization without competing with data. Overall: PASS - All text is legible, no overlaps, excellent visual hierarchy.

Dark render (plot-dark.png): The dark theme uses a warm near-black background (#1A1A17, not pure black). All text colors properly adapt: the title and axis labels render in light text (#F0EFE8), and tick labels in INK_SOFT (#B8B7B0), all clearly readable against the dark surface. Critically, the scatter points and histogram bars maintain the identical brand green (#009E73) as the light render—only the chrome (background, text, grid) adapts to the theme. The three-panel layout remains seamlessly aligned with perfect spacing. Grid lines are visible with proper subtle dashing and opacity. Zero dark-on-dark failures: no near-black text on near-black background. Overall: PASS - All text is readable in light colors; data colors match light render exactly; proper theme adaptation throughout.

Score: 95/100

Category	Score	Max
Visual Quality	30	30
Design Excellence	16	20
Spec Compliance	15	15
Data Quality	15	15
Code Quality	10	10
Library Mastery	9	10
Total	95	100

Visual Quality (30/30)

• VQ-01: Text Legibility (8/8) - Title 42px, axis labels 32px, tick labels 26px/22px. Explicitly set sizes. Perfectly readable in both themes.
• VQ-02: No Overlap (6/6) - All text fully readable. Excellent spacing throughout. No collisions.
• VQ-03: Element Visibility (6/6) - Scatter markers (radius=12, opacity=0.7) clearly visible with 150 points. Histograms properly sized and distinct.
• VQ-04: Color Accessibility (2/2) - Brand green #009E73 has excellent luminance contrast on both surfaces. CVD-safe Okabe-Ito.
• VQ-05: Layout & Canvas (4/4) - Three charts seamlessly aligned (no gaps). Canvas utilization 50-70%. Balanced margins.
• VQ-06: Axis Labels & Title (2/2) - Labels descriptive with units (°C, %). Title format correct.
• VQ-07: Palette Compliance (2/2) - First series #009E73 ✓. Backgrounds #FAF8F1/#1A1A17 ✓. Theme-adaptive chrome (INK, INK_SOFT) ✓. Data colors identical between renders ✓.

Design Excellence (16/20)

• DE-01: Aesthetic Sophistication (6/8) - Professional design with intentional theme-aware styling. Clean, well-configured beyond defaults.
• DE-02: Visual Refinement (5/6) - Subtle dashed grid, generous margins, refined spacing. Border styling shows attention to detail.
• DE-03: Data Storytelling (5/6) - Scatter-marginal design brilliantly shows joint and marginal distributions. Visual hierarchy guides viewer from main scatter to supporting context. Clear correlation story.

Spec Compliance (15/15)

• SC-01: Plot Type (5/5) - Correct scatter-marginal with main scatter and marginal histograms on top/right.
• SC-02: Required Features (4/4) - All present: main scatter, top histogram, right histogram, proper alignment.
• SC-03: Data Mapping (3/3) - Temperature on X, Humidity on Y. Axes show all data with proper ranges.
• SC-04: Title & Legend (3/3) - Title format "scatter-marginal · highcharts · anyplot.ai" ✓. Legend omitted (single series) ✓.

Data Quality (15/15)

• DQ-01: Feature Coverage (6/6) - Shows all aspects: scatter with correlation, univariate distributions, good variety.
• DQ-02: Realistic Context (5/5) - Real sensor data scenario. Temperature-humidity negative correlation is physically accurate. Neutral, non-controversial.
• DQ-03: Appropriate Scale (4/4) - Temperature 15-35°C ✓. Humidity 20-78% ✓. All relationships factually correct.

Code Quality (10/10)

• CQ-01: KISS Structure (3/3) - Linear: imports → tokens → data → three charts → HTML/PNG. No unnecessary functions.
• CQ-02: Reproducibility (2/2) - np.random.seed(42) ensures deterministic output.
• CQ-03: Clean Imports (2/2) - All imports used. Conditional requests is reasonable.
• CQ-04: Code Elegance (2/2) - Appropriate complexity. HTTP server necessary for Highcharts. Clean, Pythonic.
• CQ-05: Output & API (1/1) - Saves as plot-{THEME}.png and .html. Current API.

Library Mastery (9/10)

• LM-01: Idiomatic Usage (5/5) - Expert Highcharts patterns: Chart class, HighchartsOptions, series types, theme config, Selenium export.
• LM-02: Distinctive Features (4/5) - Distinctive: three Chart instances with HTML/CSS positioning, inline JavaScript, HTTP server pattern.

Score Caps Applied

• None - No criteria failures trigger score caps.

Strengths

• Perfect theme-chrome compliance with zero readability failures in either render
• Excellent scatter-marginal design showing joint and marginal distributions simultaneously
• Flawless Okabe-Ito palette compliance (#009E73 brand green used consistently, backgrounds perfect)
• Descriptive axis labels with units enabling full domain understanding
• Seamless three-panel layout with proper alignment, margins, and whitespace
• Realistic, neutral sensor data with physically accurate temperature-humidity relationship
• Expert Highcharts usage with multi-chart coordination and theme-aware configuration

Weaknesses

• None identified. Implementation is publication-ready.

Issues Found

• No issues. This is a high-quality, polished implementation.

AI Feedback for Next Attempt

Implementation is complete and approved at first review. This is publication-ready visualization quality.

Verdict: APPROVED