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chore(altair): update quality score 94 and review feedback for scatter-marginal
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‎plots/scatter-marginal/implementations/python/altair.py‎

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"""anyplot.ai
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""" anyplot.ai
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scatter-marginal: Scatter Plot with Marginal Distributions
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Library: altair | Python 3.13
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Quality: pending | Created: 2025-12-26
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Library: altair 6.1.0 | Python 3.13.13
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Quality: 94/100 | Updated: 2026-05-09
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"""
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import os

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

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# Per-library metadata for altair implementation of scatter-marginal
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# Auto-generated by impl-generate.yml
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library: altair
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language: python
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specification_id: scatter-marginal
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created: '2025-12-26T14:59:05Z'
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updated: '2026-05-09T05:25:28Z'
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updated: '2026-05-09T05:28:48Z'
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generated_by: claude-haiku
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workflow_run: 25592784974
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issue: 2005
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preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/scatter-marginal/python/altair/plot-dark.png
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preview_html_light: https://storage.googleapis.com/anyplot-images/plots/scatter-marginal/python/altair/plot-light.html
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preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/scatter-marginal/python/altair/plot-dark.html
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quality_score: null
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quality_score: 94
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review:
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strengths: []
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strengths:
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- 'Perfect visual quality: readable text in both themes, no overlap, excellent element
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visibility'
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- 'Precise theme compliance: correct backgrounds, all chrome tokens applied, data
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colors theme-invariant'
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- 'Expert Altair usage: idiomatic composition with vconcat/hconcat, scale sharing,
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configuration methods'
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- 'Excellent spec compliance: all marginal features present, proper alignment, correct
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transparency values'
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- 'Clean code: simple linear structure, deterministic data, all imports used, Pythonic
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style'
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- 'Strong data storytelling: composite design effectively communicates bivariate
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relationship and individual distributions'
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weaknesses: []
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image_description: |-
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Light render (plot-light.png):
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Background: Warm off-white (#FAF8F1), correct theme color
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Chrome: Title "scatter-marginal · altair · anyplot.ai" in dark text (28px), clearly readable. Axis labels "X Value (units)" and "Y Value (units)" in dark secondary text (20px), legible. Tick labels in small dark text (16px), all readable. Grid lines subtle (10% opacity) in light gray.
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Data: Scatter points in Okabe-Ito brand green (#009E73) with 0.65 opacity. Top histogram with same green at 0.5 opacity. Right histogram with same green at 0.5 opacity. All data elements clearly visible against light background.
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Legibility verdict: PASS - All text is dark, providing strong contrast against light background. No light-on-light issues. Data colors are vibrant and distinct.
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Dark render (plot-dark.png):
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Background: Warm near-black (#1A1A17), correct dark theme color
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Chrome: Title in light color, clearly readable against dark background. Axis labels in light secondary color (INK_SOFT token), legible. Tick labels in light color, all readable. Grid lines visible in light gray with 10% opacity.
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Data: Scatter points in identical Okabe-Ito brand green (#009E73, 0.65 opacity) - same as light render. Top and right histograms in same green (0.5 opacity). All data colors unchanged from light render, confirming theme-invariant coloring.
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Legibility verdict: PASS - All text is light-colored, providing strong contrast against dark background. No dark-on-dark text issues. Brand green (#009E73) remains vibrant and readable. Both renders are equally readable.
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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: Title 28px, labels 20px, ticks 16px all explicitly set and readable
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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: No overlapping elements; marginals properly 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: Markers size=120 opacity=0.65 well-scaled for 150 points; histograms
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clearly visible
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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: 'CVD-safe Okabe-Ito #009E73; good contrast; no red-green coding'
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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: Composite layout fills canvas well; balanced spacing (1000x120 top,
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1000x600 main, 120x600 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: Descriptive labels with units; spec-compliant title format
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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: 'Perfect: first series #009E73; backgrounds #FAF8F1 (light) / #1A1A17
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(dark); theme tokens correctly applied in both renders'
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design_excellence:
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score: 15
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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: Thoughtfully executed composite design; professional; intentional
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theme support
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- id: DE-02
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name: Visual Refinement
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score: 5
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max: 6
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passed: true
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comment: Subtle grid (10% opacity); clean spines; generous spacing; marginals
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simplified appropriately
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- id: DE-03
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name: Data Storytelling
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score: 5
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max: 6
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passed: true
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comment: Composite layout effectively communicates bivariate relationship
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+ distributions; clear visual hierarchy
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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 with aligned histograms on top and right
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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 requirements: main scatter, marginals, alignment, transparency'
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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/Y correctly assigned; axes show all data with appropriate domains
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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; axis labels descriptive with units
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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: 6
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max: 6
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passed: true
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comment: 'Shows all aspects: bivariate correlation, marginal distributions,
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density patterns'
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- id: DQ-02
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name: Realistic Context
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score: 4
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max: 5
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passed: true
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comment: Plausible synthetic data (y = 0.7*x + noise); sensible domain; neutral
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context
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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: Proportions correct; relationship realistic; no impossible values
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code_quality:
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score: 10
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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 flow: imports → seed → data → charts → 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: np.random.seed(42) set; deterministic
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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 (os, sys, Path, altair, numpy, pandas) are used
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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: Pythonic, appropriate complexity; no fake functionality
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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: Correct output format (plot-{THEME}.png + .html); current API
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library_mastery:
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score: 10
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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: 5
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max: 5
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passed: true
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comment: 'Expert use of Altair API: mark_circle, mark_bar, vconcat/hconcat,
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scale domains, configuration methods'
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- id: LM-02
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name: Distinctive Features
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score: 5
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max: 5
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passed: true
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comment: Excellent use of Altair's composable plots, encoding-driven styling,
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shared scale domains
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verdict: APPROVED
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impl_tags:
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dependencies: []
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techniques:
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- subplots
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patterns:
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- data-generation
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dataprep: []
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styling:
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- alpha-blending

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