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feat(ggplot2): implement circlepacking-basic - #11187

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implementation/circlepacking-basic/ggplot2
Sep 2, 2026
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feat(ggplot2): implement circlepacking-basic#11187
MarkusNeusinger merged 6 commits into
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implementation/circlepacking-basic/ggplot2

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Implementation: circlepacking-basic - r/ggplot2

Implements the r/ggplot2 version of circlepacking-basic.

File: plots/circlepacking-basic/implementations/r/ggplot2.R

Parent Issue: #2498


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@claude

claude Bot commented Sep 2, 2026

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AI Review - Attempt 1/3

Image Description

Light render (plot-light.png): Warm off-white background (#FAF8F1), with the root cluster on a subtly lighter elevated shade (#FFFDF6) for faint depth. Title "circlepacking-basic · r · ggplot2 · anyplot.ai" is bold black text, centered at top, fully readable. Six category labels (Assets, Config, Scripts, Tests, Source Code, Documentation) are bold dark-ink text placed outside their respective circles with no overlap. Six category clusters render in canonical Imprint order (Source Code = #009E73 green, Tests = #C475FD lavender, Documentation = #4467A3 blue, Assets = #BD8233 ochre, Config = #AE3030 red, Scripts = #2ABCCD cyan), each containing area-proportional leaf (file) circles with visible size variance/outliers. All text is readable against the light background.

Dark render (plot-dark.png): Warm near-black background (#1A1A17), elevated root shade (#242420). Title and all category labels render in light off-white text, clearly legible with no dark-on-dark failures. Category outline strokes switch to light grey. Data colors are confirmed identical to the light render — only chrome (background, text, outlines) flips between themes, as required. All text is readable against the dark background.

Both renders pass the light/dark readability check.

Score: 87/100

Category Score Max
Visual Quality 28 30
Design Excellence 16 20
Spec Compliance 14 15
Data Quality 14 15
Code Quality 9 10
Library Mastery 7 10
Total 87 100

Visual Quality (28/30)

  • VQ-01: Text Legibility (7/8) — explicit, dynamically computed font sizes; readable in both themes
  • VQ-02: No Overlap (6/6) — angle-aware label anchoring keeps labels clear of circles and each other
  • VQ-03: Element Visibility (5/6) — area-accurate sizing; a few smallest leaf circles near the visibility floor
  • VQ-04: Color Accessibility (2/2) — six distinct hues, good luminance separation
  • VQ-05: Layout & Canvas (4/4) — balanced central composition, nothing cut off
  • VQ-06: Axis Labels & Title (2/2) — no axes needed; title correctly formatted
  • VQ-07: Palette Compliance (2/2) — canonical Imprint order, first series #009E73, identical colors across themes

Design Excellence (16/20)

  • DE-01: Aesthetic Sophistication (7/8) - Custom packing algorithm, elevated-background depth cue, dynamic label geometry
  • DE-02: Visual Refinement (5/6) - theme_void, subtle outlines, generous whitespace
  • DE-03: Data Storytelling (4/6) - Clear hierarchy via size/color; no explicit focal-point annotation on the single largest item

Spec Compliance (14/15)

  • SC-01: Plot Type (5/5) — correct hierarchical circle packing with root/category/leaf nesting
  • SC-02: Required Features (3/4) — efficient packing, color-by-category, area scaling, padded root containment present; individual large leaf circles are not labeled
  • SC-03: Data Mapping (3/3) — radius = sqrt(value/pi), so area (not radius) encodes value
  • SC-04: Title & Legend (3/3) — title format exact; category identity conveyed via direct labels instead of a separate legend

Data Quality (14/15)

  • DQ-01: Feature Coverage (5/6) — lognormal per-category distributions produce real outliers and varied cluster totals
  • DQ-02: Realistic Context (5/5) — neutral software-repository directory structure
  • DQ-03: Appropriate Scale (4/4) — plausible KB-range file sizes

Code Quality (9/10)

  • CQ-01: KISS Structure (2/3) — two helper functions (pack_children, circle_points), justified by algorithm reuse across hierarchy levels
  • CQ-02: Reproducibility (2/2) — set.seed(42)
  • CQ-03: Clean Imports (2/2) — all imports actively used
  • CQ-04: Code Elegance (2/2) — no fake functionality, appropriate complexity
  • CQ-05: Output & API (1/1) — ggsave/ragg::agg_png, correct filename and dimensions

Library Mastery (7/10)

  • LM-01: Idiomatic Usage (4/5) - Idiomatic geom_polygon/geom_text/coord_fixed/theme_void composition for a chart type ggplot2 has no native geom for
  • LM-02: Distinctive Features (3/5) - dplyr::group_modify-driven per-group packing is tidy-eval-idiomatic, though the core packing math is library-agnostic

Score Caps Applied

  • None

Strengths

  • Custom force-relaxation packing algorithm correctly implements the 3-level hierarchy (root ⊃ category ⊃ leaf) with area-accurate radii, matching the spec's area-encoding requirement precisely.
  • Imprint palette applied in canonical order with the first series (Source Code) at #009E73; data colors are pixel-identical between light and dark renders.
  • Theme-adaptive chrome fully threaded through; both renders pass the readability check with no dark-on-dark/light-on-light failures.
  • Dynamic label sizing and angle-aware anchoring keep every category label clear of its circle and neighboring labels.
  • Realistic, neutral data scenario (repository directory tree) with genuine size variance/outliers.
  • Correct title format, reproducible via set.seed(42), correct square 2400×2400 canvas.

Weaknesses

  • Only the 6 category-level circles are labeled; the spec's "Display labels for larger circles" is not extended to the largest individual leaf circles — label the top 1-2 leaf circles per cluster (or globally) to close this gap.
  • Design Excellence is strong but not yet publication-tier: consider a stronger focal point (e.g. emphasizing or annotating the single largest file across the whole hierarchy) to push Data Storytelling further.
  • The two helper functions deviate from strict KISS "no functions" guidance — justified by the packing algorithm's genuine complexity, but worth watching for further abstraction creep.
  • The distinctive technique (force-relaxation packing) is general-purpose math rather than an R/ggplot2-specific capability.

Issues Found

  1. SC-02 MEDIUM: Largest individual leaf (file) circles are not labeled, only category clusters are
    • Fix: Add geom_text labels for the top 1-2 largest leaf circles per category (or globally), using the same dynamic sizing/anchoring approach already used for category labels
  2. DE-03 LOW: No explicit focal point beyond size/color hierarchy
    • Fix: Consider a subtle emphasis (e.g. slightly bolder outline or a callout) on the single largest file across the whole hierarchy to sharpen the story

AI Feedback for Next Attempt

Strong implementation overall. To close the gap to 90+: (1) label the largest individual leaf circles per the spec's "labels for larger circles" requirement, not just category clusters; (2) add a subtle focal-point emphasis on the single largest item to strengthen data storytelling (DE-03). Keep everything else — the packing algorithm, palette compliance, and theme-adaptive chrome are all working well.

Verdict: REJECTED

@github-actions github-actions Bot added quality:87 Quality score 87/100 ai-rejected Quality not OK, triggers update labels Sep 2, 2026
@github-actions github-actions Bot added ai-attempt-1 First repair attempt and removed ai-rejected Quality not OK, triggers update labels Sep 2, 2026
@github-actions

github-actions Bot commented Sep 2, 2026

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🔧 Repair Attempt 1/4

Applied fixes based on AI review feedback.

Status: Repair completed, re-triggering review...


🤖 impl-repair

@claude

claude Bot commented Sep 2, 2026

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AI Review - Attempt 2/3

Image Description

Light render (plot-light.png): Warm off-white #FAF8F1 background with a very faint elevated root circle (#FFFDF6) that encompasses all six category clusters (Assets, Config, Scripts, Tests, Source Code, Documentation) with clear padding. Title is bold black text, centered, fully clear of the canvas edges. Each category cluster is colored per the Imprint palette in canonical order (Source Code = #009E73, Tests = #C475FD, Documentation = #4467A3, Assets = #BD8233, Config = #AE3030, Scripts = #2ABCCD), with leaf circles area-proportional to file size. The two largest leaf circles overall ("logo.png" in Assets, "utils.R" in Source Code) are now individually labeled, and the single largest file ("logo.png") is emphasized with a bold dark focal ring. All text is clearly readable against the light background.

Dark render (plot-dark.png): Warm near-black #1A1A17 background with the elevated root circle at #242420. Title, category labels, and leaf labels all switch to light off-white / contrast-matched ink and remain fully legible — no dark-on-dark failures. Data colors (category fills and the six Imprint hues) are pixel-identical to the light render; only chrome (background, outlines, text) flips between themes, as required.

Both renders pass the legibility check.

Score: 90/100

Category Score Max
Visual Quality 28 30
Design Excellence 17 20
Spec Compliance 15 15
Data Quality 14 15
Code Quality 9 10
Library Mastery 7 10
Total 90 100

Visual Quality (28/30)

  • VQ-01: Text Legibility (7/8)
  • VQ-02: No Overlap (6/6)
  • VQ-03: Element Visibility (5/6)
  • VQ-04: Color Accessibility (2/2)
  • VQ-05: Layout & Canvas (4/4)
  • VQ-06: Axis Labels & Title (2/2)
  • VQ-07: Palette Compliance (2/2)

Design Excellence (17/20)

  • DE-01: Aesthetic Sophistication (7/8) - Custom packing algorithm, elevated-background depth cue, dynamic label geometry, and the new focal-ring device
  • DE-02: Visual Refinement (5/6) - theme_void chrome removal, subtle outlines, generous whitespace
  • DE-03: Data Storytelling (5/6) - New focal ring + top-leaf labels give the chart an explicit focal point, resolving the attempt-1 gap

Spec Compliance (15/15)

  • SC-01: Plot Type (5/5)
  • SC-02: Required Features (4/4) - Largest leaf circles are now labeled, closing the attempt-1 gap
  • SC-03: Data Mapping (3/3)
  • SC-04: Title & Legend (3/3)

Data Quality (14/15)

  • DQ-01: Feature Coverage (5/6)
  • DQ-02: Realistic Context (5/5)
  • DQ-03: Appropriate Scale (4/4)

Code Quality (9/10)

  • CQ-01: KISS Structure (2/3)
  • CQ-02: Reproducibility (2/2)
  • CQ-03: Clean Imports (2/2)
  • CQ-04: Code Elegance (2/2)
  • CQ-05: Output & API (1/1)

Library Mastery (7/10)

  • LM-01: Idiomatic Usage (4/5)
  • LM-02: Distinctive Features (3/5) - Tidy-eval group_modify pattern is idiomatic, but the core packing math is library-agnostic

Score Caps Applied

  • None

Strengths

  • Force-relaxation packing algorithm correctly implements the 3-level hierarchy (root ⊃ category ⊃ leaf) with area-accurate radii, matching the spec's area-encoding requirement precisely.
  • Repair directly resolved both attempt-1 weaknesses: the top-2 largest leaf circles are now labeled, and a bold focal ring highlights the single largest file across the hierarchy.
  • Imprint palette applied in canonical order, first series #009E73, data colors identical across themes, fully theme-adaptive chrome with no dark-on-dark/light-on-light failures.
  • Angle-aware label anchoring keeps every label clear of circles and of neighboring labels regardless of approach angle.
  • Realistic, neutral repository-directory dataset with genuine lognormal size variance and outliers per category.

Weaknesses

  • pack_children/circle_points helper functions still deviate from the strict KISS "no functions" guidance — justified by the packing algorithm's genuine complexity, but worth watching for further creeping abstraction.
  • The distinctive technique (force-relaxation packing) remains general-purpose math rather than an R/ggplot2-specific capability.
  • A handful of the smallest leaf circles (e.g. in Config and Documentation) sit near the lower visibility threshold at full resolution.

Issues Found

None blocking — remaining weaknesses are minor polish items, not correctness or compliance issues.

AI Feedback for Next Attempt

Implementation meets the bar for approval. Optional future polish: consider whether the packing math could lean on a package-idiomatic circle-drawing helper to strengthen Library Mastery, and keep an eye on the two helper functions if further complexity is added.

Verdict: APPROVED

@github-actions github-actions Bot added quality:90 Quality score 90/100 ai-approved Quality OK, ready for merge and removed quality:87 Quality score 87/100 labels Sep 2, 2026
@MarkusNeusinger
MarkusNeusinger merged commit 317bf6f into main Sep 2, 2026
@MarkusNeusinger
MarkusNeusinger deleted the implementation/circlepacking-basic/ggplot2 branch September 2, 2026 16:02
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