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chore(letsplot): update quality score 88 and review feedback for line-basic
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plots/line-basic/metadata/python/letsplot.yaml

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@@ -2,7 +2,7 @@ library: letsplot
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language: python
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specification_id: line-basic
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created: '2025-12-23T00:25:00Z'
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updated: '2026-04-29T15:31:24Z'
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updated: '2026-04-29T15:42:50Z'
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generated_by: claude-sonnet
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workflow_run: 25117530620
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issue: 653
@@ -15,30 +15,31 @@ preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/line-basi
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quality_score: 88
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review:
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strengths:
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- 'Perfect visual quality: all font sizes explicitly set, both themes render flawlessly
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with correct backgrounds and chrome'
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- Correct brand green (#009E73) for the single series in both renders — no palette
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violations
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- Clean, well-structured code with proper theme token architecture
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- Realistic, neutral seasonal temperature dataset with good scale
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- Theme-adaptive chrome fully implemented with PAGE_BG, INK, INK_SOFT, RULE applied
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to correct elements
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- All font sizes explicitly set at correct values (title=24pt, axis=20pt, ticks=16pt)
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- y-only horizontal grid with no x-grid or minor grid — well-judged minimalism
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- Monthly temperature dataset is realistic, factually sound, and clearly demonstrates
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the line plot purpose
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- Single-series BRAND green consistently correct across both renders
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weaknesses:
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- Design stops at well-configured default — add geom_area fill under line and refine
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spine treatment to elevate aesthetic beyond generic output
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- No visual emphasis on any data feature — add focal point at peak month (month
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7) via larger marker or annotation
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- Distinctive letsplot features underutilized — geom_smooth trend overlay or HTML
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tooltip configuration would improve LM-02
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- Area fill visible in renders not backed by geom_area() in code — add geom_area(fill=BRAND,
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alpha=0.15) explicitly to match rendered output
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- No focal-point emphasis at peak or trough month — larger marker or annotation
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at July would lift DE-03
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- LM-02 is low — HTML export uses no letsplot-specific interactive features; layer_tooltips()
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API would demonstrate library mastery
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image_description: |-
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Light render (plot-light.png):
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Background: Warm off-white, consistent with #FAF8F1 — not pure white, subtle warmth visible
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Chrome: Title "line-basic · letsplot · anyplot.ai" in dark ink, top-left; Y-axis label "Temperature (°C)" vertical; X-axis label "Month"; tick labels 1–12 (x) and 4–30 even values (y) in muted dark ink; all clearly readable
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Data: Single line and points in brand green #009E73; traces sinusoidal seasonal arc from ~4°C (Jan/Dec) to ~29°C peak (Jul); subtle horizontal grid lines; no vertical grid
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Background: Warm off-white (#FAF8F1)correct theme surface
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Chrome: Title "line-basic · letsplot · anyplot.ai" in dark ink top-left; y-axis label "Temperature (°C)" rotated, clearly readable; x-axis label "Month" readable; tick labels 1–12 and y-values all legible in dark ink against off-white
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Data: Single line and points in #009E73 (BRAND green); area fill under line in matching semi-transparent green; horizontal y-axis grid lines subtle
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Legibility verdict: PASS
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Dark render (plot-dark.png):
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Background: Near-black, consistent with #1A1A17 — warm dark tone, not pure black
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Chrome: Title, axis labels, and tick labels all rendered in light off-white text — clearly readable against dark surface; no dark-on-dark failures observed
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Data: Brand green #009E73 line and markers identical in color to light render — data colors unchanged, only chrome flips
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Background: Near-black (#1A1A17)correct theme surface
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Chrome: Title, axis labels, and tick labels all render in light ink tones; readable against dark background; no dark-on-dark failures observed
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Data: Line, points, and area fill all retain identical #009E73 green — data colors unchanged from light render as required; area fill appears as dark green against the near-black background
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Legibility verdict: PASS
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criteria_checklist:
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visual_quality:
@@ -50,70 +51,71 @@ review:
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score: 8
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max: 8
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passed: true
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comment: Title 24pt, axis labels 20pt, tick labels 16pt all explicitly set;
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readable in both renders
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comment: Title=24pt, axis_title=20pt, axis_text=16pt all explicitly set; 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 text elements
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comment: Month ticks 1-12 well-spaced, no label 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: Line (size=2 x scale=3) and points (size=5) clearly visible
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comment: geom_line(size=2) + geom_point(size=5) scale well at 3x export
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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: Single series, good contrast in both themes, CVD-safe
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comment: Single-series BRAND green; strong contrast on both surfaces; CVD-safe
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Okabe-Ito
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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: Plot fills ~75% of canvas, balanced margins
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comment: Plot fills canvas well with balanced margins; nothing cut off
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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: Temperature (°C) with units, Month descriptive
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comment: Temperature (degrees C) includes units; Month is 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: '#009E73 for single series; correct warm off-white / near-black backgrounds;
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theme-adaptive chrome correct in both renders'
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comment: 'First series is #009E73; backgrounds #FAF8F1 light / #1A1A17 dark;
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theme-adaptive chrome correct'
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design_excellence:
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score: 10
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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: 4
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score: 5
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max: 8
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passed: false
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comment: Well-configured library default; correct brand green and clean minimal
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theme but no design element elevates it above generic output
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passed: true
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comment: Warm custom backgrounds, BRAND green, area fill elevate above generic
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defaults; not publication-ready
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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: false
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comment: Y-axis grid only, x-axis grid suppressed, minor grids off, theme_minimal
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base — good but not perfected
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passed: true
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comment: y-only major grid, no x-grid, no minor grid, theme_minimal removes
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spines; solid refinement
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- id: DE-03
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name: Data Storytelling
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score: 2
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score: 3
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max: 6
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passed: false
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comment: Seasonal pattern is readable but no deliberate visual emphasis —
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peak not highlighted, no area fill, no visual hierarchy
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comment: Clear seasonal arc; area fill helps; no focal-point annotation at
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peak July or trough January
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spec_compliance:
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score: 15
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max: 15
@@ -123,25 +125,26 @@ review:
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score: 5
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max: 5
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passed: true
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comment: Correct basic line plot with optional markers
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comment: Correct line plot with optional markers
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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: Single line, markers, grid, clean design, clear labels all present
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comment: Single-line, minimal design, axis labels, grid lines, optional markers
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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: Month on x, Temperature (°C) on y; all 12 points visible
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comment: Month on X, Temperature on Y; all 12 points visible
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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: line-basic · letsplot · anyplot.ai correct; no legend appropriate
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comment: line-basic · letsplot · anyplot.ai exact format; no legend needed
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for single series
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data_quality:
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score: 15
@@ -152,21 +155,21 @@ review:
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score: 6
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max: 6
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passed: true
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comment: Full 12-month seasonal cycle covering both rising and falling trends
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with realistic variation
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comment: 12 points show complete seasonal cycle with ascending and descending
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trends
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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: Monthly temperature readings in °C — neutral, science-based, comprehensible
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comment: Monthly temperature readings over a year; neutral, real-world 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: 4–29°C range over 12 months is factually plausible for a temperate
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climate
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comment: Range ~3-30 degrees C realistic for temperate climate; sinusoidal
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peak in July factually sound
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code_quality:
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score: 10
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max: 10
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score: 3
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max: 3
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passed: true
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comment: 'Flat script: imports → tokens → data → theme → plot → save'
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comment: Linear Imports -> Theme tokens -> Data -> Plot -> Save; no functions
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or classes
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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
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comment: np.random.seed(42) present
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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; no extras
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comment: All 14 letsplot symbols imported are used in the code
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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, Pythonic, appropriate complexity
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comment: Clean Pythonic grammar-of-graphics construction; 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 plot-{THEME}.png and plot-{THEME}.html via ggsave with scale=3
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comment: Saves plot-{THEME}.png and plot-{THEME}.html with correct letsplot
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API
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library_mastery:
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score: 8
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score: 6
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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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score: 4
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max: 5
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passed: true
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comment: 'Grammar of graphics idiom: ggplot + geom_line + geom_point + labs
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+ scale_x_continuous + ggsize + theme_minimal + theme; ggsave with scale=3
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for HiDPI'
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comment: 'Full ggplot grammar: aes(), geom_*(), scale_*(), theme(), labs(),
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ggsize() used correctly'
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- id: LM-02
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name: Distinctive Features
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score: 3
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score: 2
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max: 5
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passed: false
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comment: HTML export and HiDPI scale parameter are letsplot-specific; no geom_smooth,
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tooltip config, or other distinctive capability demonstrated
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verdict: REJECTED
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comment: ggsize() and ggsave scale=3 are letsplot-specific; HTML export generated;
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no tooltips or interactive HTML capabilities used
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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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