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chore(pygal): update quality score 76 and review feedback for column-stratigraphic
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plots/column-stratigraphic/implementations/pygal.py

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"""pyplots.ai
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""" pyplots.ai
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column-stratigraphic: Stratigraphic Column with Lithology Patterns
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Library: pygal | Python 3.13
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Quality: pending | Created: 2026-03-15
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Library: pygal 3.1.0 | Python 3.14.3
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Quality: 76/100 | Created: 2026-03-15
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"""
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import cairosvg
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# Per-library metadata for pygal implementation of column-stratigraphic
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# Auto-generated by impl-generate.yml
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library: pygal
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specification_id: column-stratigraphic
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created: '2026-03-15T22:57:51Z'
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updated: '2026-03-15T22:57:51Z'
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updated: '2026-03-15T23:03:03Z'
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generated_by: claude-opus-4-5-20251101
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workflow_run: 23121198913
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issue: 4573
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preview_url: https://storage.googleapis.com/pyplots-images/plots/column-stratigraphic/pygal/plot.png
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preview_thumb: https://storage.googleapis.com/pyplots-images/plots/column-stratigraphic/pygal/plot_thumb.png
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preview_html: https://storage.googleapis.com/pyplots-images/plots/column-stratigraphic/pygal/plot.html
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quality_score: null
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quality_score: 76
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review:
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strengths: []
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weaknesses: []
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strengths:
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- Excellent spec compliance with all required features present and well-executed
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- Well-crafted SVG lithology patterns approximating standard geological conventions
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- Coherent geological data with proper chronological ordering and realistic formation
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names
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- Clean readable monospace typography appropriate for scientific visualization
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weaknesses:
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- Library mastery critically low - pygal used only as SVG container with dummy data,
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none of pygal charting features utilized
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- Significant empty white space on right 40% of canvas
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- Siltstone and conglomerate background colors too similar (both tan/brown)
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image_description: 'The plot displays a vertical stratigraphic column spanning 0-135m
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depth with 10 geological layers. The title "column-stratigraphic · pygal · pyplots.ai"
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appears at top center in monospace font. On the left, an "Age" column lists geological
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periods (Eocene, Paleocene, Late Cretaceous, Early Cretaceous, Jurassic, Triassic)
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with vertical brackets grouping contiguous layers. A "Depth (m)" scale with tick
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marks every 10m runs alongside the column. The central column shows rectangular
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blocks filled with distinct lithology patterns: yellow with stipple dots (sandstone),
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gray with horizontal dashes (shale), light blue with brick pattern (limestone),
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tan with short dashes (siltstone), burlywood with circles (conglomerate), medium
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gray with thin lines (mudstone), and purple-pink with diamond crosshatch (dolomite).
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Formation names appear in monospace to the right of each layer, with lithology
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type in smaller italic gray text further right. A "Lithology Key" in the upper
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right shows all 7 pattern swatches with labels. The right approximately 40% of
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the canvas is largely empty white space.'
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criteria_checklist:
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visual_quality:
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score: 26
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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: 7
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max: 8
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passed: true
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comment: 'Font sizes explicitly set (34, 30, 28, 26, 36px). All readable.
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Minor: italic lithology labels at 26px slightly small.'
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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: No overlapping text anywhere. All labels well-spaced.
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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: All lithology patterns distinct and clearly visible. Layer boundaries
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sharp.
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- id: VQ-04
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name: Color Accessibility
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score: 3
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max: 4
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passed: true
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comment: Siltstone and conglomerate are both brownish/tan, relying on pattern
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alone to differentiate.
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- id: VQ-05
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name: Layout & Canvas
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score: 2
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max: 4
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passed: false
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comment: Stratigraphic column occupies left ~55% of canvas. Right side largely
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empty.
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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: Depth (m) includes units. Age header present. Title correct format.
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design_excellence:
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score: 11
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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: true
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comment: Custom SVG lithology patterns well-crafted. Monospace font gives
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technical feel. Above defaults but not publication-ready.
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- id: DE-02
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name: Visual Refinement
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score: 3
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max: 6
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passed: true
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comment: Clean white background, no unnecessary grid, age brackets are nice.
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Significant wasted space on right.
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- id: DE-03
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name: Data Storytelling
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score: 3
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max: 6
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passed: true
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comment: Geological sequence tells coherent temporal narrative. Age brackets
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provide context. No strong focal point.
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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 chart type: vertical stratigraphic column with stacked lithology
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blocks.'
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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 spec features present: 7 lithology patterns, depth scale, formation
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names, age labels, layer boundaries.'
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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: Depth mapping correct, layers properly positioned and scaled.
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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. Lithology Key shows all 7 types with pattern
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swatches.
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data_quality:
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score: 14
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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: 5
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max: 6
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passed: true
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comment: 10 layers, 7 lithology types, varying thicknesses, 6 geological periods.
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Could include unconformity.
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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: Realistic formation names, proper geological ages in correct chronological
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order.
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- id: DQ-03
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name: Appropriate Scale
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score: 4
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max: 4
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passed: true
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comment: 0-135m depth range realistic. Layer thicknesses vary naturally.
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code_quality:
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score: 8
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max: 10
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items:
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- id: CQ-01
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name: KISS Structure
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score: 2
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max: 3
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passed: true
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comment: Linear flow but extensive manual SVG string construction adds complexity.
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- id: CQ-02
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name: Reproducibility
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score: 2
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max: 2
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passed: true
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comment: Deterministic hardcoded data.
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- id: CQ-03
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name: Clean Imports
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score: 2
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max: 2
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passed: true
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comment: 'All imports used: cairosvg, pygal, Style.'
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- id: CQ-04
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name: Code Elegance
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score: 1
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max: 2
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passed: false
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comment: Bypasses pygal charting API, using it only as SVG container with
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dummy data.
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- id: CQ-05
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name: Output & API
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score: 1
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max: 1
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passed: true
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comment: Saves as plot.png via cairosvg. Also saves plot.html.
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library_mastery:
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score: 2
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max: 10
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items:
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- id: LM-01
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name: Idiomatic Usage
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score: 1
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max: 5
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passed: false
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comment: Pygal used only as SVG scaffold with dummy data. No data API, series,
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labeling, or axis features utilized.
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- id: LM-02
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name: Distinctive Features
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score: 1
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max: 5
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passed: false
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comment: No distinctive pygal features used. Could be replicated with any
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SVG tool.
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verdict: REJECTED
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impl_tags:
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dependencies:
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- cairosvg
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techniques:
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- annotations
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- custom-legend
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- html-export
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patterns:
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- iteration-over-groups
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dataprep: []
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styling:
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- minimal-chrome
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- edge-highlighting

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