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chore(seaborn): update quality score 77 and review feedback for column-stratigraphic
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plots/column-stratigraphic/implementations/seaborn.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: seaborn | Python 3.13
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Quality: pending | Created: 2026-03-15
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Library: seaborn 0.13.2 | Python 3.14.3
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Quality: 77/100 | Created: 2026-03-15
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"""
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import matplotlib.patches as mpatches
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# Per-library metadata for seaborn implementation of column-stratigraphic
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# Auto-generated by impl-generate.yml
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library: seaborn
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specification_id: column-stratigraphic
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created: '2026-03-15T22:54:50Z'
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updated: '2026-03-15T22:54:50Z'
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updated: '2026-03-15T22:58:15Z'
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generated_by: claude-opus-4-5-20251101
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workflow_run: 23121198560
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issue: 4573
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preview_url: https://storage.googleapis.com/pyplots-images/plots/column-stratigraphic/seaborn/plot.png
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preview_thumb: https://storage.googleapis.com/pyplots-images/plots/column-stratigraphic/seaborn/plot_thumb.png
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preview_html: null
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quality_score: null
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quality_score: 77
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review:
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strengths: []
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weaknesses: []
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strengths:
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- Geologically authentic data using real Western Interior Seaway formations
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- Well-chosen hatching patterns approximating standard geological symbols
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- Clean age bracket annotations on the left side
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- Proper geological convention with depth increasing downward
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- Excellent spec compliance with all required features present
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weaknesses:
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- 'Critical: No seaborn usage at all - pure matplotlib code labeled as seaborn implementation'
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- Title font size 22pt below 24pt recommendation; formation/age labels below 16pt
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guideline
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- Poor canvas utilization - narrow column leaves too much empty space
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- Limited data storytelling - no emphasis on major geological boundaries
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image_description: 'The plot shows a vertical stratigraphic column spanning 0-180m
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depth. Ten geological layers are displayed as stacked rectangular blocks, each
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filled with a distinct color and hatching pattern: sandstone (wheat with dots),
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shale (dark gray with horizontal dashes), limestone (sky blue with plus crosses),
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siltstone (tan with diagonal lines), conglomerate (brown with dense dots), and
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dolomite (light steel blue with x-crosses). Formation names (Dakota Fm, Graneros
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Sh, Greenhorn Ls, Carlile Sh, Niobrara Fm, Fort Hays Ls, Morrison Fm, Entrada
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Ss, Chinle Fm, Kaibab Fm) are labeled to the right of each layer. Geological age
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labels (Late Cretaceous, Late Jurassic, Middle Jurassic, Late Triassic, Early
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Permian) appear in italic on the left with vertical bracket lines. The y-axis
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shows "Depth (m)" increasing downward from 0 to 180. A lithology legend is positioned
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at the upper right. Title reads "column-stratigraphic · seaborn · pyplots.ai".
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Top, right, and bottom spines are removed.'
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criteria_checklist:
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visual_quality:
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score: 25
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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: 6
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max: 8
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passed: true
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comment: Title 22pt (below 24pt), formation labels 14pt and age labels 12pt
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readable but below 16pt guideline
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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: All text clearly positioned with no collisions
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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: Layers clearly visible with distinct hatching and colors
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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: Hatching patterns ensure distinguishability but sandstone/siltstone/conglomerate
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have similar warm tones
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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: Narrow column relative to canvas width; significant empty space to
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the right
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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: Y-axis has Depth (m) with units; x-axis correctly hidden
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design_excellence:
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score: 12
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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: Muted earth-tone palette appropriate for geology; above defaults
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but not publication-level
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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: true
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comment: Spines removed; age bracket lines are a nice touch; no unnecessary
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grid
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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: false
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comment: Geological sequence with age labels tells a story but no emphasis
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on key boundaries
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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 vertical column with stacked blocks and lithology patterns
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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 required features present: 6 lithology patterns, depth downward,
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labels, scale'
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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 axis correct, layers mapped with proper positions
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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; legend shows all lithology types
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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: 6 lithology types with varying thicknesses across 5 geological periods
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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: Real Western Interior Seaway formation names - geologically authentic
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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: 0-180m depth range and layer thicknesses are realistic
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code_quality:
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score: 9
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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: 3
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max: 3
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passed: true
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comment: 'Clean linear structure: data, plot, style, save'
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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: Fully deterministic data
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- id: CQ-03
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name: Clean Imports
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score: 1
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max: 2
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passed: false
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comment: Seaborn not imported despite being a seaborn implementation
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- id: CQ-04
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name: Code Elegance
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score: 2
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max: 2
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passed: true
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comment: Clean well-organized code
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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 with dpi=300
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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: No seaborn usage at all - pure matplotlib implementation
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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: Zero seaborn features used
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verdict: REJECTED
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impl_tags:
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dependencies: []
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techniques:
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- patches
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- annotations
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- custom-legend
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- manual-ticks
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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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- edge-highlighting

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