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- 'Perfect data quality: realistic bivariate correlation scenario with diverse distributions
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visible in both margins'
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weaknesses:
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- 'Design sophistication could be elevated: color palette is minimal (only brand
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green + neutral grays), limited visual flourishes or distinctive design elements'
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- 'Library mastery: PIL image composition is somewhat manual; could explore pygal''s
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native multi-chart capabilities more idiomatically'
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- 'Visual refinement could push further: spines left as defaults, grid styling is
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subtle but could be more intentionally designed, limited visual hierarchy or emphasis
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techniques'
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image_description: |-
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Light render (plot-light.png):
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Background: Warm off-white around #FAF8F1, matches spec requirement perfectly
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Chrome: Title "scatter-marginal · pygal · anyplot.ai" is centered and clear in dark INK color. Axis labels "Measurement A (units)" and "Measurement B (units)" are positioned correctly with good spacing. All tick labels are dark and readable. Summary box has dark text on slightly elevated background.
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Data: Scatter points are teal (#009E73), marginal histograms are subtle gray. All markers clearly visible with 150 points at opacity 0.65. No overlapping or hidden elements.
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Legibility verdict: PASS - all text is crisp and readable against the light off-white surface. Perfect contrast and font sizing throughout.
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Dark render (plot-dark.png):
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Background: Warm near-black around #1A1A17, matches spec requirement perfectly
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Chrome: Title is light-colored (#F0EFE8) and clearly visible. Axis labels and tick labels are light gray (#B8B7B0), readable with good contrast. Summary box has appropriate elevated background (#242420) with light text. No dark-on-dark issues.
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Data: Scatter data points remain teal (#009E73) - identical colors to light render, confirming theme-invariant data. Marginal bars use theme-adapted gray. All elements are distinguishable and visible.
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Legibility verdict: PASS - all text is readable on the dark surface. Chrome colors properly adapt to dark theme. No contrast failures or dark-on-dark problems. Both renders are equally legible.
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criteria_checklist:
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visual_quality:
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score: 30
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max: 30
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items:
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- id: VQ-01
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name: Text Legibility
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score: 8
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max: 8
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passed: true
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comment: All font sizes explicitly set in Style object and ImageDraw. Perfect
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readability in both themes.
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- id: VQ-02
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name: No Overlap
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score: 6
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max: 6
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passed: true
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comment: Excellent spacing throughout. No overlapping text elements. Axis
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labels, ticks, and summary box clearly separated.
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- id: VQ-03
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name: Element Visibility
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score: 6
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max: 6
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passed: true
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comment: Scatter markers perfectly adapted to 150 points (size=10, opacity=0.65).
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Marginal bars clearly visible. No overlapping.
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- id: VQ-04
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name: Color Accessibility
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score: 2
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max: 2
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passed: true
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comment: Okabe-Ito first series (#009E73) is CVD-safe. Marginal gray provides
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good luminance contrast.
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- id: VQ-05
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name: Layout & Canvas
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score: 4
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max: 4
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passed: true
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comment: 4800×2700 landscape optimal. Composite fills 60-70% of canvas. Balanced
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margins, nothing cut off.
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- id: VQ-06
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name: Axis Labels & Title
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score: 2
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max: 2
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passed: true
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comment: Descriptive labels with units (Measurement A/B). Title format correct.
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- id: VQ-07
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name: Palette Compliance
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score: 2
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max: 2
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passed: true
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comment: 'First series #009E73 ✓. Backgrounds #FAF8F1/#1A1A17 ✓. Theme-adaptive
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tokens throughout. Data identical across themes, chrome flips correctly.
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Both renders theme-correct.'
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design_excellence:
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score: 13
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max: 20
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items:
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- id: DE-01
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name: Aesthetic Sophistication
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score: 5
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max: 8
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passed: false
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comment: Clean design with custom Style objects and theme adaptation. Summary
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box adds polish. Color palette minimal (brand + grays). Professional but
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not exceptional.
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- id: DE-02
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name: Visual Refinement
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score: 4
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max: 6
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passed: false
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comment: Grid subtle via foreground_subtle. Generous whitespace. Summary box
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has rounded corners and elevated background. Could push further with spine
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removal.
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- id: DE-03
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name: Data Storytelling
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score: 4
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max: 6
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passed: false
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comment: Shows correlation AND distributions clearly. Summary statistics add
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context. Visual hierarchy guides viewer. Good storytelling through statistics
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and layout, but could leverage more visual emphasis.
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spec_compliance:
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score: 15
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max: 15
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items:
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- id: SC-01
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name: Plot Type
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score: 5
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max: 5
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passed: true
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comment: 'Correct scatter-marginal: main XY scatter lower-left, top marginal
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(X), right marginal (Y). All subtypes present.'
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- id: SC-02
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name: Required Features
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score: 4
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max: 4
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passed: true
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comment: 'All features present: bivariate scatter, marginal histograms, proper
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alignment, axes show all data.'
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- id: SC-03
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name: Data Mapping
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score: 3
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max: 3
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passed: true
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comment: X → Measurement A (horizontal), Y → Measurement B (vertical). Axes
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ranges appropriate. Marginals aligned.
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- id: SC-04
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name: Title & Legend
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score: 3
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max: 3
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passed: true
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comment: Title format correct. No legend (single series, appropriate). Axis
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labels descriptive with units.
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data_quality:
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score: 15
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max: 15
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items:
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- id: DQ-01
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name: Feature Coverage
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score: 6
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max: 6
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passed: true
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comment: 'Shows all features: positive correlation, realistic X distribution,
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diverse Y distribution. Outliers and density patterns visible.'
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- id: DQ-02
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name: Realistic Context
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score: 5
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max: 5
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passed: true
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comment: Neutral, plausible measurement scenario. Correlated bivariate is
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