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chore(pygal): update quality score 77 and review feedback for line-timeseries
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‎plots/line-timeseries/implementations/python/pygal.py‎

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"""anyplot.ai
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""" anyplot.ai
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line-timeseries: Time Series Line Plot
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Library: pygal | Python 3.13
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Quality: pending | Created: 2025-12-26
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Library: pygal 3.1.0 | Python 3.13.13
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Quality: 77/100 | Updated: 2026-05-09
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"""
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import os

‎plots/line-timeseries/metadata/python/pygal.yaml‎

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# Per-library metadata for pygal implementation of line-timeseries
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# Auto-generated by impl-generate.yml
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library: pygal
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language: python
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specification_id: line-timeseries
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created: '2025-12-26T08:31:00Z'
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updated: '2026-05-09T03:31:42Z'
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updated: '2026-05-09T03:35:15Z'
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generated_by: claude-haiku
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workflow_run: 25590470019
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issue: 2006
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preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/line-timeseries/python/pygal/plot-dark.png
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preview_html_light: https://storage.googleapis.com/anyplot-images/plots/line-timeseries/python/pygal/plot-light.html
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preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/line-timeseries/python/pygal/plot-dark.html
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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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- Excellent text legibility with explicitly sized fonts (title 28px, labels 22px,
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ticks 18px)
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- Well-formatted title matching spec requirement (line-timeseries · pygal · anyplot.ai)
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- Realistic and plausible data (stock prices with volatility over 365 days)
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- Clean, deterministic code with proper seeding (random.seed(42))
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- Good layout and margins (100px margin, well-balanced)
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weaknesses:
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- 'CRITICAL: Data line color inconsistent between light and dark renders—light render
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shows pale/grayish line, dark render shows greenish line; they should be identical
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(#009E73). Suggests Style object colors not applied correctly or rendering issue
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with pygal.'
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- Low aesthetic sophistication (DE-01=4/8)—uses library defaults without custom
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design choices
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- Minimal visual refinement (DE-02=2/6)—no spine customization, basic grid, default
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styling
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- No visual storytelling emphasis (DE-03=2/6)—uptrend is visible but no visual hierarchy
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highlights the insight
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- Generic library usage (LM-02=1/5)—could leverage more pygal-specific features
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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
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Chrome: Title "line-timeseries · pygal · anyplot.ai" clearly visible; X-axis "Date", Y-axis "Stock Price (USD)" with units; date labels rotated 45° (Jan 2024 through Dec 2024); price range ~100-210; all text readable (PASS)
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Data: Single line series showing stock price over 365 days - CRITICAL ISSUE: line appears very pale and grayish, barely visible, NOT the expected #009E73 bluish-green color
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Grid: Subtle grid lines on both axes visible and appropriate
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Legend: "ACME Corp Stock" shown at bottom left
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Legibility verdict: FAIL - Data line color is wrong (appears pale/grayish instead of medium-saturated bluish-green #009E73). Text legibility is good, but the data element itself fails palette compliance.
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Dark render (plot-dark.png):
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Background: Warm near-black (#1A1A17) - correct
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Chrome: Title visible; axis labels visible in light text; date labels rotated, clearly readable; all text is light-colored and readable against dark background (PASS on chrome legibility)
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Data: Line appears greenish/teal, which is closer to expected #009E73 but DIFFERS from light render appearance. The colors MUST be identical between renders—only chrome should flip.
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Grid: Subtle grid lines visible on both axes
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Legend: "ACME Corp Stock" shown
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Legibility verdict: FAIL - Data line color differs from light render. While the line is visible and readable, the color inconsistency across themes violates the style guide requirement that data colors remain identical between light/dark renders. This is a critical palette compliance failure.
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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: 8
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max: 8
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passed: true
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comment: All font sizes explicitly set; title 28px, labels 22px, ticks 18px;
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all readable
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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: Date labels rotated 45°; no overlap; clean layout
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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: Line clearly visible and properly scaled for data density
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- id: VQ-04
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name: Color Accessibility
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score: 1
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max: 2
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passed: false
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comment: Color rendering issue undermines accessibility—pale line in light
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render
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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: Well-balanced layout; 100px margins; good canvas utilization
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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 (Stock Price (USD)); title correct
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format
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- id: VQ-07
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name: Palette Compliance
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score: 0
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max: 2
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passed: false
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comment: 'CRITICAL FAILURE: Data colors not identical between light and dark
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renders. Light render shows pale/grayish line; dark render shows greenish
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line. Colors must be identical (#009E73); only chrome should flip.'
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design_excellence:
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score: 8
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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: Well-configured defaults but no exceptional design; straightforward
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stock chart
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- id: DE-02
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name: Visual Refinement
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score: 2
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max: 6
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passed: false
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comment: Library defaults with minimal customization; no spine removal or
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advanced grid styling
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- id: DE-03
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name: Data Storytelling
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score: 2
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max: 6
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passed: false
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comment: Data displayed (uptrend visible) but no visual hierarchy or 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 line chart for time series
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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: Date formatting, axes with labels, grid lines all present
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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=dates, Y=stock prices; correct assignment
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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 labels match
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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 realistic stock price volatility and uptrend over full year
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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: ACME Corp stock price is plausible financial scenario
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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: Price range ($100–$210) is realistic
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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: 'Linear: imports → data → style → chart → 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: random.seed(42) ensures deterministic output
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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 necessary imports (datetime, random, os, sys, pygal)
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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, straightforward, no over-engineering
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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 plot-{THEME}.html correctly
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library_mastery:
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score: 4
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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: 3
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max: 5
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passed: false
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comment: Correct Style usage and Line chart; follows recommended patterns
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but doesn't leverage advanced features
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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: Generic usage; could leverage more pygal-specific features
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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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- manual-ticks
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- html-export
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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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