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chore(makie): update quality score 88 and review feedback for scatter-categorical
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plots/scatter-categorical/implementations/julia/makie.jl

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# anyplot.ai
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# scatter-categorical: Categorical Scatter Plot
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# Library: Makie.jl 0.21 | Julia 1.11
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# Quality: pending | Created: 2026-09-05
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# Library: makie 0.21.9 | Julia 1.11.9
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# Quality: 88/100 | Created: 2026-09-05
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using CairoMakie
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using Colors
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# Per-library metadata for makie implementation of scatter-categorical
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# Auto-generated by impl-generate.yml
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library: makie
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language: julia
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specification_id: scatter-categorical
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created: '2026-09-05T13:41:14Z'
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updated: '2026-09-05T13:41:14Z'
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updated: '2026-09-05T13:45:41Z'
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generated_by: claude-sonnet
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workflow_run: 33969125139
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issue: 2597
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preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/scatter-categorical/julia/makie/plot-dark.png
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preview_html_light: null
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preview_html_dark: null
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quality_score: null
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quality_score: 88
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review:
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strengths: []
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weaknesses: []
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strengths:
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- Title exactly matches the mandated 'scatter-categorical · julia · makie · anyplot.ai'
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format
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- 'Imprint palette correctly applied: Cropland (first series) is brand green #009E73,
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Grassland lavender, Forest blue, in canonical order and identical between light
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and dark renders'
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- 'Theme-adaptive chrome fully threaded through: title, axis labels, tick labels,
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spines, and grid all flip correctly between light (#FAF8F1 bg) and dark (#1A1A17
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bg) with no dark-on-dark or light-on-light failures'
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- Distinct marker shapes per category (circle, up-triangle, diamond) add redundant
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encoding beyond color, improving accessibility
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- White/dark background-matched marker strokes (strokecolor = PAGE_BG) give clean
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definition against overlapping points
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- Legend uses framevisible=false and sits inside the plot in an empty data region
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— no overlap with data or clipping
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- Realistic, neutral soil-nutrient survey scenario (Cropland > Grassland > Forest
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in both N and P) with a plausible positive N–P correlation per land-use group
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- 'Clean, idiomatic Makie code: KISS structure, Random.seed!(42) for reproducibility,
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correct save() with px_per_unit=2 for the canonical 3200x1800 canvas'
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weaknesses:
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- 'Design Excellence is generic beyond the marker-shape/stroke touches: no additional
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visual hierarchy or focal point beyond raw color-coded clusters — consider a subtle
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touch such as group-centroid markers, a light trend indicator, or refined legend
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background to lift DE-01/DE-03 toward ''clearly above defaults''.'
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- In the dense Forest cluster (bottom-left, nitrogen 6-18 mg/kg) many opaque markersize=16
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points overlap and fully obscure each other — add slight alpha (e.g. alpha=0.85)
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to the scatter! calls so overlapping points in that cluster stay distinguishable
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(VQ-03).
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- 'Library Mastery is fairly generic (LM-02): the plot could leverage a Makie-distinctive
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feature more strongly, e.g. per-group density contours, direct group labels via
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text! near cluster centroids, or Makie''s layout/legend composition, rather than
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only palette + marker-shape cycling that any library could replicate.'
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image_description: |-
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Light render (plot-light.png):
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Background: Warm off-white, matches #FAF8F1 — not pure white.
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Chrome: Title "scatter-categorical · julia · makie · anyplot.ai" in bold dark ink at top-center, fully visible with no clipping. Axis labels "Soil Nitrogen (mg/kg)" (x) and "Soil Phosphorus (mg/kg)" (y) in dark ink, tick labels in a softer dark gray. Subtle light-gray gridlines on both axes. Legend (Cropland / Grassland / Forest) sits unframed in the bottom-right, in an empty region of the plot with no overlap.
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Data: Three groups clearly separated by both color and marker shape — green circles (Cropland, high N/P, upper right), lavender up-triangles (Grassland, mid-range, diagonal band), blue diamonds (Forest, low N/P, lower left, densest cluster). First series (Cropland) is the correct brand green #009E73. A clear positive N-P correlation is visible within and across groups.
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Legibility verdict: PASS — all text is clearly readable against the light background, no light-on-light issues.
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Dark render (plot-dark.png):
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Background: Warm near-black, matches #1A1A17 — not pure black.
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Chrome: Title, axis labels rendered in light off-white ink; tick labels in a softer light gray; gridlines subtle and light-toned. Legend text is light-colored and unframed, same bottom-right position, no overlap with data.
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Data: Data colors are identical to the light render — same brand green Cropland, lavender Grassland, blue Forest, same marker shapes and positions. Only the chrome (background, text, grid) flipped.
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Legibility verdict: PASS — all text is clearly readable against the dark background, no dark-on-dark failures found; brand green remains vivid and legible on the dark surface.
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criteria_checklist:
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visual_quality:
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score: 29
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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 (titlesize=20, xlabelsize/ylabelsize=14,
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ticklabelsize=12), matches the Makie per-library skeleton defaults, fully
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readable in both themes with no overflow or clipping
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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 text overlap; legend sits in an empty data region
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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: Markersize=16 visible for 180 points, but the dense Forest cluster
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has fully opaque overlapping markers that obscure each other — add alpha
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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: Three CVD-distinct hues plus redundant marker-shape encoding (circle/triangle/diamond)
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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 the canvas well with balanced margins; legend near the
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plot; nothing cut off; canvas gate passed at 3200x1800
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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 axis labels with units (mg/kg)
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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 (Cropland) is #009E73, canonical Imprint order for
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the rest, identical across themes, correct theme-adaptive backgrounds'
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design_excellence:
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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: 5
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max: 8
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passed: false
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comment: Marker-shape variation and background-matched strokes are a nice
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touch above a bare default, but overall still fairly standard — no custom
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typography or extra polish
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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: Top/right spines removed, subtle 15%-alpha grid, unframed legend
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— good refinement but not maximally polished
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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: false
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comment: Clear visual hierarchy emerges from color-separated clusters showing
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the N-P gradient across land uses, but no explicit emphasis or annotation
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calls out the insight
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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 categorical scatter plot
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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: Distinct colorblind-safe colors per category, legend, and bonus marker-shape
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variation per group as suggested by the spec notes
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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=Soil Nitrogen, Y=Soil Phosphorus correctly mapped, full data range
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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: Title format exact; legend labels (Cropland/Grassland/Forest) match
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the data categories
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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 three distinct but naturally overlapping clusters, demonstrating
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the 'identifying clusters in multivariate data' spec application
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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: 'Real, neutral scientific scenario: soil nutrient survey across land-use
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types'
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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: Nitrogen/phosphorus mg/kg ranges and cropland>grassland>forest ordering
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are agronomically plausible
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code_quality:
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score: 10
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max: 10
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items:
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- id: CQ-01
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name: KISS Structure
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score: 3
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max: 3
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passed: true
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comment: No functions/classes, linear imports -> data -> plot -> 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) set
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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: CairoMakie, Colors, Random all 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: Clean idiomatic loop over groups, no fake functionality
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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 with px_per_unit=2 for the canonical canvas
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size
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library_mastery:
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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: 4
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max: 5
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passed: true
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comment: Correct use of Axis/scatter!/axislegend with theme tokens threaded
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through properly
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- id: LM-02
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name: Distinctive Features
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score: 2
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max: 5
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passed: false
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comment: Marker-shape cycling is a modest Makie-idiomatic touch, but nothing
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uniquely Makie-only (e.g. no density contours, layout composition, or text!
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centroid labels)
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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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patterns:
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- data-generation
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- iteration-over-groups
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dataprep: []
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styling:
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- edge-highlighting
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- grid-styling

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