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

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"""anyplot.ai
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""" anyplot.ai
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slope-basic: Basic Slope Chart (Slopegraph)
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Library: letsplot 4.9.0 | Python 3.13.13
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Quality: 80/100 | Updated: 2026-04-30
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Quality: 85/100 | Updated: 2026-04-30
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"""
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import os

plots/slope-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: slope-basic
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created: '2025-12-23T20:47:50Z'
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updated: '2026-04-30T16:56:59Z'
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updated: '2026-04-30T17:14:44Z'
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generated_by: claude-sonnet
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workflow_run: 25177850228
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issue: 981
@@ -12,115 +12,108 @@ preview_url_light: https://storage.googleapis.com/anyplot-images/plots/slope-bas
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preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/slope-basic/python/letsplot/plot-dark.png
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preview_html_light: https://storage.googleapis.com/anyplot-images/plots/slope-basic/python/letsplot/plot-light.html
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preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/slope-basic/python/letsplot/plot-dark.html
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quality_score: 80
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quality_score: 85
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review:
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strengths:
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- Perfect spec compliance with all required features (endpoint labels, directional
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coloring, time-point axis labels)
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- 'Excellent code quality: flat KISS structure, deterministic data, all explicit
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font sizes set for 4800x2700px'
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- Theme-adaptive chrome implemented correctly per letsplot guide; both renders pass
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legibility checks
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- 'Directional color coding with Okabe-Ito #009E73/#D55E00 creates instant visual
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hierarchy'
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- Excellent spec compliance all slopegraph requirements satisfied with correct
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title format
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- Strong storytelling via top-3 mover emphasis (differential line weight + alpha)
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creates a clear focal story
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- Proper Okabe-Ito palette with full theme-adaptive chrome; both light and dark
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renders pass the readability check
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- 'Perfect code quality: deterministic, clean, idiomatic letsplot usage'
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- Genuine use of layer_tooltips() showcases letsplot's interactive differentiation
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weaknesses:
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- 'Label crowding on right side: six products (B, C, I, H, A, D) fall in a tight
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55-unit band producing near-overlap — fix by adding value amounts to endpoint
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labels and extending y-limits'
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- Generic entity names Product A through J reduce data authenticity — replace with
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real product category names from a recognizable industry
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- 'No data storytelling emphasis: top mover (Product G +40) and biggest decline
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(Product J -30) not visually distinguished — use size or alpha variation to highlight
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top 2-3 movers'
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- Label crowding on both sides (especially left, mid-range values) causes overlap
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where 4-5 entities cluster near similar y-values
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- geom_text label size=10 renders slightly small at 4800x2700 px; size 12-13 would
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improve legibility
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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 surface, not pure white
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Chrome: Title "slope-basic · letsplot · anyplot.ai" in dark ink (#1A1A17)clearly readable. Y-axis label "Sales ($K)" in dark ink. X-axis tick labels "Q1 Sales ($K)" / "Q4 Sales ($K)" in INK_SOFT (#4A4A44). Tick labels on y-axis in INK_SOFT. Legend box with elevated background.
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Data: Green (#009E73) lines/points for increasing products; orange (#D55E00) for decreasing. 10 slope lines clearly visible. Entity labels at both endpoints.
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Legibility verdict: PASS — all text readable; minor label crowding on right side (6 labels in 55-unit band) but not severe overlap
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Background: Warm off-white #FAF8F1 — correct light theme surface.
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Chrome: Title "slope-basic · letsplot · anyplot.ai" in dark ink (#1A1A17), clearly readable. Y-axis label "Sales ($K)" and x-axis tick labels "Q1 Sales ($K)"/"Q4 Sales ($K)" in dark soft ink — all readable. Legend on right with "Change" header and green/orange entries, styled with elevated background.
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Data: Green (#009E73) segments for increases, orange (#D55E00) for decreases. Top-3 movers (Cameras, Smartphones, Laptops) emphasized with bold lines (size=3.5, alpha=1.0); background lines dimmed (alpha=0.40). Endpoint labels on both sides with entity name + value.
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Legibility verdict: PASS — all chrome text readable. Minor label overlap in mid-range ($80K-$120K) band.
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Dark render (plot-dark.png):
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Background: Warm near-black (#1A1A17) — correct dark theme surface, not pure black
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Chrome: Title and axis labels rendered in light ink (#F0EFE8 / #B8B7B0) — all clearly readable against dark background. No dark-on-dark failures observed. Legend box uses elevated dark background (#242420).
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Data: Colors are identical to light render — green (#009E73) for increases, orange (#D55E00) for decreases. Theme-stable palette confirmed.
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Legibility verdict: PASS — all text readable in dark theme; same label crowding as light render
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Background: Near-black #1A1A17 — correct dark theme surface.
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Chrome: Title, axis labels, tick labels, and legend text all shift to light ink (#F0EFE8/#B8B7B0). All text readable against dark background. No dark-on-dark failures observed. Legend background uses elevated dark surface #242420.
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Data: Data colors identical to light render — green #009E73 for increases, orange #D55E00 for decreases. Same visual hierarchy (bold top movers vs. dimmed background lines).
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Legibility verdict: PASS — theme-adaptive chrome successfully applied to all elements.
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criteria_checklist:
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visual_quality:
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score: 25
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score: 24
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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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score: 7
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max: 8
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passed: true
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comment: 'All sizes explicitly set: title 28pt, axis title 22pt, axis text
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18-20pt, legend 18-20pt'
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comment: All sizes explicitly set (title 28pt, y-label 22pt, ticks 18-20pt);
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geom_text labels size=10 slightly small
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- id: VQ-02
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name: No Overlap
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score: 3
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max: 6
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passed: false
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comment: Right-side labels B/C/I/H/A/D cluster in ~55-unit band producing
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near-overlap; main content readable
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comment: Moderate label crowding in mid-range $80K-$120K band on left side;
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main content readable
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- id: VQ-03
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name: Element Visibility
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score: 5
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max: 6
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passed: true
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comment: Lines (size=2.5, alpha=0.85) and points (size=7) clearly visible;
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some density from 10 crossing lines
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comment: Segments and points clearly visible; top-mover emphasis works well
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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 green/orange combination is colorblind-safe
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comment: Green/orange Okabe-Ito pair is CVD-safe with clear luminance contrast
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- id: VQ-05
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name: Layout & Canvas
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score: 3
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max: 4
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passed: true
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comment: Good layout for slope chart; limits extended to [-0.6, 1.6] appropriately
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for endpoint labels
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comment: Extended x-limits give good label clearance; slight vertical crowding
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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 units: Sales ($K); x-axis period names carry units'
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comment: Y-axis Sales ($K), x-axis tick labels Q1/Q4 Sales ($K) — descriptive
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with units
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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 #009E73, second #D55E00; backgrounds #FAF8F1/#1A1A17;
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all chrome theme-correct'
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comment: 'Correct backgrounds #FAF8F1/#1A1A17; first series #009E73; full
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theme-adaptive chrome in both renders'
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design_excellence:
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score: 11
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score: 13
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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 with directional colors and theme-adaptive chrome,
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but overall appearance is polished library default
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passed: true
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comment: Visual hierarchy via differential line weight elevates design above
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defaults; 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: Y-axis only grid with subtle color, x-axis grid removed, theme_minimal
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— meaningfully above defaults
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comment: X-grid removed, y-grid subtle, legend styled with elevated background
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- id: DE-03
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name: Data Storytelling
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score: 3
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score: 4
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max: 6
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passed: false
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comment: Directional coloring communicates increases vs decreases but no emphasis
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on largest movers
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passed: true
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comment: Top-3 movers emphasized; increase/decrease color coding guides interpretation
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spec_compliance:
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score: 15
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max: 15
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score: 5
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passed: true
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comment: Correct slopegraph with geom_segment connecting two time points
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comment: Correct slopegraph using geom_segment + geom_point + geom_text
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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: Labels at both endpoints, directional color coding, time-point axis
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labels, 10 entities
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comment: Labels at both endpoints, color-coded by direction, time-point axis
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labels, 10 entities within 5-15 spec
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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 time periods, Y maps to sales values; all data visible
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comment: X encodes time points, Y encodes values; segments correctly span
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Q1 to Q4
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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 'slope-basic · letsplot · anyplot.ai' correct; legend 'Change'
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with Increase/Decrease
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comment: Title slope-basic · letsplot · anyplot.ai exactly correct; legend
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Change with Increase/Decrease correct
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data_quality:
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score: 13
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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 6 increases and 4 decreases with varied magnitudes; multiple
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crossing lines show rank changes
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comment: Shows both increases and decreases, crossing patterns, rank reversals,
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varying magnitudes
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- id: DQ-02
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name: Realistic Context
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score: 3
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score: 5
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max: 5
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passed: false
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comment: Q1/Q4 sales scenario is plausible but Product A-J are abstract labels;
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real product names would add authenticity
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passed: true
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comment: Consumer electronics quarterly sales is a real, neutral, comprehensible
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business 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: Values 55-215 ($K) are realistic quarterly sales figures with plausible
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changes
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comment: $55K-$215K range for electronics product line sales is factually
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plausible
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code_quality:
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score: 10
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score: 3
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passed: true
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comment: 'Flat code: imports -> tokens -> data -> plot -> save; no functions
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or classes'
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comment: Linear Imports to Data to Plot to Save; no functions 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: All data hardcoded; fully deterministic
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comment: Data is hardcoded and fully 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 imported symbols are used
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comment: All lets_plot imports actively used; only pandas and os as additional
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deps
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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; data transforms are clear and concise
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comment: Clean, Pythonic; layer_tooltips() is genuine letsplot interactivity,
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not fake
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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 (scale=3) and plot-{THEME}.html; current API
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comment: Saves plot-{THEME}.png (scale=3) and plot-{THEME}.html for both themes
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library_mastery:
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score: 6
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score: 8
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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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score: 5
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max: 5
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passed: true
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comment: 'Excellent ggplot grammar: geom_segment+geom_point+geom_text layering,
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scale_color_manual, correct theme-adaptive chrome'
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comment: 'Exemplary ggplot grammar: layered geoms, aes(), scale_*_manual(),
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theme(), labs(), ggsize()'
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- id: LM-02
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name: Distinctive Features
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score: 2
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score: 3
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max: 5
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passed: false
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comment: HTML export is letsplot-specific; core chart logic could be replicated
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in plotnine with minor syntax changes
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verdict: REJECTED
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passed: true
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comment: Uses layer_tooltips() with title/line format-specifiers (letsplot-specific);
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dual PNG+HTML export demonstrates interactive hybrid output
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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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- annotations
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- layer-composition
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- hover-tooltips
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- html-export
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patterns:
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- data-generation
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- wide-to-long
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dataprep: []
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styling:
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- minimal-chrome
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- alpha-blending
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- grid-styling

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