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chore(letsplot): update quality score 85 and review feedback for area-elevation-profile
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plots/area-elevation-profile/implementations/letsplot.py

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"""pyplots.ai
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""" pyplots.ai
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area-elevation-profile: Terrain Elevation Profile Along Transect
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Library: letsplot 4.9.0 | Python 3.14.3
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Quality: 86/100 | Created: 2026-03-15
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Quality: 85/100 | Created: 2026-03-15
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"""
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import numpy as np

plots/area-elevation-profile/metadata/letsplot.yaml

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library: letsplot
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specification_id: area-elevation-profile
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created: '2026-03-15T21:51:50Z'
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updated: '2026-03-15T22:17:18Z'
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updated: '2026-03-15T22:32:52Z'
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generated_by: claude-opus-4-5-20251101
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workflow_run: 23120069378
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issue: 4578
@@ -10,108 +10,107 @@ library_version: 4.9.0
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preview_url: https://storage.googleapis.com/pyplots-images/plots/area-elevation-profile/letsplot/plot.png
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preview_thumb: https://storage.googleapis.com/pyplots-images/plots/area-elevation-profile/letsplot/plot_thumb.png
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preview_html: https://storage.googleapis.com/pyplots-images/plots/area-elevation-profile/letsplot/plot.html
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quality_score: 86
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quality_score: 85
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review:
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strengths:
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- Full spec compliance with all required features (filled area, landmarks, slope
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coloring, vertical exaggeration note)
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- Excellent data quality with realistic Alpine hiking context and diverse terrain
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features
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- Colorblind-safe palette with good visual contrast
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- Clean, well-structured code with proper reproducibility
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- Effective use of lets-plot specific features (tooltips, HTML export)
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- Strong design with custom background, refined grid, and professional typography
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- Excellent spec compliance — all required features implemented including slope-based
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coloring, landmarks, vertical exaggeration note
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- Strong colorblind-safe palette (blue/amber/purple) with good contrast
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- Thoughtful design with off-white background, subtle horizontal-only grid, and
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well-styled landmark markers
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- Slope-based line coloring adds effective data storytelling about terrain difficulty
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- Clean, well-organized code with good reproducibility
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weaknesses:
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- Some label crowding in the 60-100 km region where four landmarks are relatively
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close together
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- Rapid slope-category color alternation creates visual fragmentation on the profile
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line in steep sections
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- Landmark label font size (12) is slightly small relative to other text elements
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image_description: 'The plot displays an alpine trail elevation profile spanning
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120 km. The x-axis shows "Distance (km)" from 0 to 120, and the y-axis shows "Elevation
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(m)" ranging from approximately 1,200 to 2,700 m. A light blue filled area beneath
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the profile line creates the terrain silhouette effect. The profile line itself
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is colored by slope steepness using three distinct colors: blue (Flat/Gentle),
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amber/gold (Moderate), and deep crimson/purple (Steep). Eight landmarks are marked
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with white-filled circles bordered in blue, connected to the x-axis by dashed
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gray vertical lines. Labels are displayed at ~35° angles in bold dark text: Talbach
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Village (0 km), Steinberg Pass (20 km), Grünsee Lake (38 km), Hochwand Summit
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(50 km), Felsentor Saddle (65 km), Alpenhof Hut (80 km), Gipfelkreuz Peak (95
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km), and Bergdorf Village (120 km). The background is a warm off-white (#FAFAFA).
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The legend at the bottom displays "Slope Steepness" with three categories. The
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title reads "Alpine Trail Elevation Profile · area-elevation-profile · letsplot
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· pyplots.ai" with a subtitle noting "120 km hiking transect with 8 landmarks
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— vertical exaggeration ~10×".'
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- Label overlap in the 20-65 km region where four landmarks cluster — staggering
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helps but does not fully resolve it
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- X-axis extends to 150 for label accommodation, creating dead space on the right
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side
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- Landmark labels at 40-degree angle with size 14 are at the lower bound of readability
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image_description: 'The plot shows an Alpine trail elevation profile spanning 120
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km. The x-axis displays "Distance (km)" from 0 to 120 with ticks every 20 km,
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and the y-axis shows "Elevation (m)" ranging from about 1,200 m to 2,800 m. A
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light blue filled area creates a terrain silhouette beneath the profile line.
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The profile line itself is colored by slope steepness using three colors: blue
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(Flat/Gentle), amber/gold (Moderate), and deep purple (Steep). Eight landmarks
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are marked with white-filled circles with blue borders, connected by dotted lines
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to angled bold text labels: Talbach Village (0 km, ~1,200 m), Steinberg Pass (~20
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km), Grünsee Lake (~38 km), Hochwand Summit (~50 km, highest point ~2,300 m),
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Felsentor Saddle (~65 km), Alpenhof Hut (~80 km), Gipfelkreuz Peak (~95 km), and
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Bergdorf Village (120 km, ~1,200 m). Dashed vertical lines drop from each landmark
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to the bottom. The title reads "Alpine Trail Elevation Profile · area-elevation-profile
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· letsplot · pyplots.ai" with a subtitle noting vertical exaggeration ~10x. A
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legend at the bottom shows the three slope categories. The background is a soft
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off-white (#FAFAFA) with subtle horizontal grid lines only.'
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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: 7
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max: 8
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passed: true
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comment: All font sizes explicitly set (title 24, axis title 20, axis text
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16, legend 14-16). Landmark labels at size=12 readable but slightly small.
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comment: All font sizes explicitly set. Landmark labels at size 14 with 40°
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angle slightly less legible but readable.
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- id: VQ-02
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name: No Overlap
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score: 4
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score: 3
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max: 6
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passed: false
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comment: Some crowding in 60-100 km region where four landmark labels are
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relatively close. Staggered nudge offsets help but don't fully resolve density.
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comment: Labels in 20-65 km region closely spaced with some tail overlap despite
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staggering.
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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: Profile line visible at size=2.5, landmark points well-sized. Rapid
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slope-category color alternation creates some visual fragmentation.
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comment: Profile line at size 2.5 clearly visible, landmark points at size
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7 stand out well.
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- id: VQ-04
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name: Color Accessibility
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score: 4
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max: 4
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passed: true
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comment: Blue, amber, deep purple colorblind-safe palette with good contrast.
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comment: Blue/amber/purple colorblind-safe palette with strong 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 canvas utilization. X-axis extended to 138 for label accommodation.
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Minor empty space at top right.
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comment: X-axis extends to 150 while data ends at 120, creating dead space
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on the right.
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- id: VQ-06
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name: Axis Labels & Title
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score: 2
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max: 2
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passed: true
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comment: Distance (km) and Elevation (m) — descriptive with units.
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design_excellence:
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score: 14
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score: 15
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max: 20
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items:
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- id: DE-01
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name: Aesthetic Sophistication
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score: 6
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max: 8
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passed: true
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comment: Custom colorblind-safe palette, warm off-white background, thoughtful
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typography hierarchy, white-filled landmark markers. Clearly above defaults.
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comment: Custom colorblind-safe palette, thoughtful typography hierarchy,
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themed markers, off-white background. Clearly above defaults.
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- id: DE-02
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name: Visual Refinement
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score: 4
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score: 5
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max: 6
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passed: true
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comment: Minimal theme, removed x-grid and minor grid, subtle y-grid, custom
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background, generous margins.
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comment: Minimal theme, horizontal-only grid, custom background, generous
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margins, dotted connector lines.
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- id: DE-03
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name: Data Storytelling
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score: 4
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max: 6
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passed: true
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comment: Slope coloring conveys terrain difficulty. Landmarks provide geographic
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context. Visual hierarchy guides the viewer.
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comment: Slope-based coloring creates terrain difficulty narrative. Landmarks
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guide viewer through the trail.
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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 area/line elevation profile with filled terrain silhouette.
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comment: Correct area/line plot with filled terrain silhouette.
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- id: SC-02
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name: Required Features
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score: 4
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max: 4
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passed: true
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comment: 'All spec features: filled area, landmarks with vertical lines and
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labels, slope coloring, vertical exaggeration noted.'
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comment: 'All spec features present: filled area, landmarks, vertical markers,
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slope coloring, vertical exaggeration note.'
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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: Distance on x, elevation on y. All data visible and correctly mapped.
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comment: Distance on x-axis, elevation on y-axis, correct throughout.
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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 follows spec-id · library · pyplots.ai format. Legend labels
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are descriptive.
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comment: Title follows spec-id · library · pyplots.ai format. Legend correctly
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labels slope categories.
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data_quality:
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score: 15
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score: 14
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max: 15
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items:
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- id: DQ-01
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name: Feature Coverage
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score: 6
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score: 5
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max: 6
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passed: true
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comment: Varied terrain with peaks, valleys, passes, saddles. 8 diverse landmark
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types.
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comment: Multiple peaks, valleys, varying slopes, 8 diverse landmarks. Good
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variety.
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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: Alpine hiking trail with realistic German/Austrian place names. Neutral
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geographic scenario.
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comment: Alpine hiking trail with plausible German-language landmark names.
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Neutral, engaging.
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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: Elevation 1200-2350m and 120km trail length realistic for Alpine
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transect.
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comment: Elevations 1200-2300 m realistic for Alpine trails. 120 km plausible
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for multi-day hike.
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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: 'Clean linear flow: imports, data, landmarks, plot, save. No functions
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or classes.'
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comment: 'Linear flow: imports, data, plot, 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: np.random.seed(42) ensures deterministic output.
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comment: np.random.seed(42) set at start.
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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: numpy, pandas, lets_plot, export_ggsave.'
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comment: All imports used.
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- id: CQ-04
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name: Code Elegance
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score: 2
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max: 2
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passed: true
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comment: Well-organized, appropriate complexity. Tooltips are legitimate lets-plot
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features.
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comment: Clean, well-organized. Manual nudge arrays appropriate for label
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positioning.
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- id: CQ-05
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name: Output & API
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score: 1
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score: 4
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passed: true
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comment: Proper ggplot grammar with layered geoms, inherit_aes=False, scale_color_manual,
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comprehensive theme customization.
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comment: 'Good ggplot grammar usage: aes, geom layering, scale_color_manual,
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theme customization, inherit_aes.'
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- id: LM-02
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name: Distinctive Features
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score: 3
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max: 5
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passed: true
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comment: Uses layer_tooltips() for interactive hover, export_ggsave with scale,
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and HTML export — lets-plot specific features.
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verdict: REJECTED
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comment: Uses layer_tooltips() for interactive hover, ggsize(), export_ggsave
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with scale. HTML export also generated.
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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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patterns:
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- data-generation
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dataprep:
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- rolling-window
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- binning
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styling:
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- alpha-blending

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