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chore(letsplot): update quality score 85 and review feedback for polar-bar
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‎plots/polar-bar/implementations/python/letsplot.py‎

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"""anyplot.ai
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""" anyplot.ai
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polar-bar: Polar Bar Chart (Wind Rose)
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Library: letsplot | Python 3.13
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Quality: pending | Created: 2025-12-30
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Library: letsplot 4.9.0 | Python 3.13.13
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Quality: 85/100 | Updated: 2026-05-13
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"""
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import os

‎plots/polar-bar/metadata/python/letsplot.yaml‎

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# Per-library metadata for letsplot implementation of polar-bar
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# Auto-generated by impl-generate.yml
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library: letsplot
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language: python
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specification_id: polar-bar
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created: '2025-12-30T16:36:44Z'
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updated: '2026-05-13T01:19:29Z'
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updated: '2026-05-13T01:22:59Z'
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generated_by: claude-haiku
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workflow_run: 25772046568
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issue: 2693
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preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/polar-bar/python/letsplot/plot-dark.png
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preview_html_light: https://storage.googleapis.com/anyplot-images/plots/polar-bar/python/letsplot/plot-light.html
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preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/polar-bar/python/letsplot/plot-dark.html
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quality_score: null
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quality_score: 85
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review:
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strengths: []
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weaknesses: []
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strengths:
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- Perfect text legibility in both light and dark themes with theme-adaptive colors
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throughout
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- Correct and strict Okabe-Ito palette adherence with brand green (#009E73) as first
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series
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- Clean, minimal code structure with no unnecessary complexity; fully reproducible
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- Proper canvas sizing for symmetric plots (3600x3600 px final) with correct export
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scaling
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- 'Background colors exactly match spec (#FAF8F1 light, #1A1A17 dark); no pure white/black'
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- Realistic monsoon wind pattern with accurate meteorological context
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- Bars have white edges and alpha=0.85 for visual definition
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weaknesses:
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- 'Design Excellence is low: implementation is clean but lacks distinctive aesthetic
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choices beyond the minimal theme'
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- 'Library Mastery limited: uses core letsplot features correctly but doesn''t showcase
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library-specific capabilities or advanced customization'
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- 'Visual hierarchy is functional but not intentional: plot communicates data clearly
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but doesn''t emphasize key patterns (SW dominance) through color, size, or position
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emphasis'
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image_description: |-
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Light render (plot-light.png):
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Background: Warm off-white (#FAF8F1) - matches spec exactly
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Chrome: Title "polar-bar · letsplot · anyplot.ai" in dark INK color (#1A1A17); Y-axis labeled "Frequency (%)" in INK; tick labels (5, 10, 15, 20, 25, 30, 35) and direction labels (N, NE, E, SE, S, SW, W, NW) in INK_SOFT gray (#4A4A44). All text is clearly readable against light background.
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Data: 8 bars radiating outward using Okabe-Ito colors in order: N (#009E73 green), NE (#D55E00 orange), E (#0072B2 blue), SE (#CC79A7 purple), S (#E69F00 gold), SW (#56B4E9 sky blue), W (#F0E442 yellow), NW (#1A1A1A dark neutral). Bars have white edges for definition. Grid circles are subtle but visible. Proportions correct: SW largest (35), S second (28), others smaller (3-12).
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Legibility verdict: PASS - all elements visible, no light-on-light failures, excellent contrast
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Dark render (plot-dark.png):
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Background: Warm near-black (#1A1A17) - matches spec exactly
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Chrome: Title in light INK color (#F0EFE8); Y-axis label and tick labels in light INK_SOFT (#B8B7B0). All text is clearly readable against dark background with good contrast.
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Data: Colors identical to light render (Okabe-Ito positions 1-7 constant). Neutral bar (NW) correctly adapts to #E8E8E0 (light off-white) for visibility. Grid circles remain subtle. No dark-on-dark failures - all text sufficiently light and all data bars sufficiently distinct.
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Legibility verdict: PASS - no dark-on-dark failures, excellent theme adaptation, all elements 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: All text properly sized (24pt title, 20pt axis label, 16pt ticks).
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Fully readable in both light and dark themes with theme-adaptive colors.
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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: Direction labels positioned around circle perimeter. Data bars clearly
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distinguishable. No text 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: Even small bars (3-6 units) visible with alpha=0.85. White edges
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on bars provide definition. No hidden or obscured elements.
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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 palette is CVD-safe (peer-reviewed). No problematic color
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pairs. Colorblind-friendly throughout.
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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: Canvas 1200x1200 base (3600x3600 final) appropriate for symmetric
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polar plot. Grid proportionate, nothing cut off, generous whitespace.
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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: Title correct format. Y-axis labeled with units. Directions labeled
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around perimeter. All labels descriptive.
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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 (N) uses #009E73 brand green. Okabe-Ito order 0-7.
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Backgrounds #FAF8F1 (light) and #1A1A17 (dark). Neutral adapts correctly.
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Both renders theme-correct.'
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design_excellence:
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score: 10
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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: 4
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max: 8
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passed: false
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comment: Clean minimal aesthetic with theme_minimal() foundation. Adequate
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execution of basics but lacks custom design touches or distinctive refinement
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beyond defaults.
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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: false
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comment: Theme_minimal() provides spines. Grid subtly styled (size=0.3). Some
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refinement (bar edges) but mostly standard styling without extended customization.
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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: Effectively shows monsoon dominance (SW peak) but visual hierarchy
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is functional rather than intentional. Color separates directions naturally
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but no additional emphasis or focal-point design.
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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 polar bar chart (wind rose). coord_polar() with appropriate
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angular offset.
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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 8 compass directions shown, frequency as bar magnitude, bars
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radiate outward, appropriate for meteorological 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 maps to direction (categorical), Y to frequency (numeric). Axes
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show full range. All categories represented.
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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 correct format. Legend hidden (appropriate for wind rose with
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perimeter labels).
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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: Full compass rose with 8 cardinal directions. Frequency range 3-35
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demonstrates plot-type versatility.
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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: Monsoon wind pattern (SW dominance, reduced N/E) is meteorologically
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plausible and neutral.
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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: Frequency values sensible for wind distribution. Good data range,
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no outliers.
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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: No unnecessary functions or classes. Straightforward procedural code,
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easy to read.
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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: Data hardcoded (deterministic), no random generation. Fully reproducible.
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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: Only imports from lets_plot, numpy, pandas, os. All imports used.
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No extraneous dependencies.
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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: No fake UI or simulated interactivity. No AR-08 violations. Complexity
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appropriate.
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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-{THEME}.png and .html. Theme-suffixed filenames. Current
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letsplot API.
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library_mastery:
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score: 5
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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: 4
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max: 5
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passed: true
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comment: Uses idiomatic ggplot2/letsplot pattern. High-level API. coord_polar()
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applied correctly. Theme customization functional but not sophisticated.
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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: Standard use of letsplot features (ggsize, ggsave, theme system).
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No distinctive library-specific techniques beyond plot requirements.
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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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- polar-projection
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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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- edge-highlighting
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- grid-styling

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