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feat(d3): implement dumbbell-basic#9573

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Jun 30, 2026
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feat(d3): implement dumbbell-basic#9573
MarkusNeusinger merged 6 commits into
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implementation/dumbbell-basic/d3

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Implementation: dumbbell-basic - javascript/d3

Implements the javascript/d3 version of dumbbell-basic.

File: plots/dumbbell-basic/implementations/javascript/d3.js

Parent Issue: #945


🤖 impl-generate workflow

@claude

claude Bot commented Jun 30, 2026

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AI Review - Attempt 1/3

Image Description

Light render (plot-light.png): A horizontal dumbbell chart on a warm off-white (#FAF8F1) background. Shows employee satisfaction scores (0–100) for 10 departments before and after a flexible work policy. Green dots (#009E73, Imprint palette[0]) represent "Before Policy" and lavender dots (#C475FD, Imprint palette[1]) represent "After Policy", connected by thin gray lines at 40% opacity. Sorted by improvement magnitude (Research +22 pts at top, Finance +7 pts at bottom). Title, category labels, x-axis ticks, x-axis label "Satisfaction Score (0–100)", and legend are all clearly readable as dark text against the warm off-white surface. Legibility verdict: PASS.

Dark render (plot-dark.png): The identical chart on a warm near-black (#1A1A17) background. Chrome correctly flips — title, y-axis category labels, x-axis tick labels, x-axis label, and legend text all render as light text against the dark surface. No dark-on-dark issues detected. Data colors are identical to the light render: #009E73 green and #C475FD lavender dots maintain the same appearance. Gridlines remain subtle. Legibility verdict: PASS.

Both paragraphs are required. A review that only describes one render is invalid.

Score: 87/100

Category Score Max
Visual Quality 29 30
Design Excellence 12 20
Spec Compliance 15 15
Data Quality 15 15
Code Quality 10 10
Library Mastery 6 10
Total 87 100

Visual Quality (29/30)

  • VQ-01: Text Legibility (7/8) — All text readable in both themes; tick/category labels at 13px CSS are slightly below the d3 guide's 14px recommendation but remain legible at canvas size
  • VQ-02: No Overlap (6/6) — No overlapping elements; generous band padding prevents category label collisions
  • VQ-03: Element Visibility (6/6) — r=10 dots are prominent for sparse 10-point data; connecting lines at 40% opacity are visible but non-distracting
  • VQ-04: Color Accessibility (2/2) — Imprint palette positions 0 and 1, both CVD-safe per palette design
  • VQ-05: Layout & Canvas (4/4) — Canvas gate passed; margins generous; left=175px correctly accommodates "Customer Success" label; no overflow or clipping
  • VQ-06: Axis Labels & Title (2/2) — "Satisfaction Score (0–100)" is descriptive with units; categories are self-labeling on y-axis
  • VQ-07: Palette Compliance (2/2) — First series #009E73 (palette[0]), second #C475FD (palette[1]); backgrounds correct (#FAF8F1 light / #1A1A17 dark); data colors identical between themes

Design Excellence (12/20)

  • DE-01: Aesthetic Sophistication (5/8) — Clean and professional; pageBg stroke halos on dots add visual depth; intentional sorting by improvement shows design thought
  • DE-02: Visual Refinement (4/6) — Y-axis domain removed; tick marks removed; vertical gridlines appropriate for horizontal chart orientation; opacity on connecting lines reduces noise
  • DE-03: Data Storytelling (3/6) — Sorting creates a narrative, but no annotations highlight the most striking results (Research +22 pts, Engineering +19 pts); viewer must mentally compute each gap

Spec Compliance (15/15)

  • SC-01: Plot Type (5/5) — Correct horizontal dumbbell / Cleveland dot plot
  • SC-02: Required Features (4/4) — Distinct dot colors, thin subtle connecting line (stroke-width 2.5, opacity 0.4), horizontal orientation with categories on y-axis, sorted by difference
  • SC-03: Data Mapping (3/3) — Categories on y-axis, satisfaction scores on x-axis, all 10 departments shown
  • SC-04: Title & Legend (3/3) — Title follows {Descriptive Title} · {spec-id} · {language} · {library} · anyplot.ai format; legend labels "Before Policy" / "After Policy" are clear

Data Quality (15/15)

  • DQ-01: Feature Coverage (6/6) — Both before/after values, connecting lines, legend, sorting, 10 categories within spec's 5–20 range
  • DQ-02: Realistic Context (5/5) — Employee satisfaction before/after flexible work policy is a realistic, neutral scenario; department names and score range 57–91 are plausible
  • DQ-03: Appropriate Scale (4/4) — Domain 50–100 avoids wasted whitespace while keeping meaningful scale context

Code Quality (10/10)

  • CQ-01: KISS Structure (3/3) — No functions or classes; linear code
  • CQ-02: Reproducibility (2/2) — All data hardcoded; deterministic
  • CQ-03: Clean Imports (2/2) — No imports; d3 correctly used as global per harness contract
  • CQ-04: Code Elegance (2/2) — Idiomatic D3 .join() pattern throughout; no fake UI elements
  • CQ-05: Output & API (1/1) — Harness-driven output; correct browser harness contract; no manual file writes

Library Mastery (6/10)

  • LM-01: Idiomatic Usage (4/5) — scaleBand + scaleLinear, axisBottom + axisLeft, .join() pattern, window.ANYPLOT_TOKENS/ANYPLOT_SIZE correctly consumed
  • LM-02: Distinctive Features (2/5) — Solid core D3 but no distinctively D3 capabilities leveraged beyond the canonical axis + join + scaleBand pattern

Score Caps Applied

  • None

Strengths

  • Correct Imprint palette usage — #009E73 first series, #C475FD second; both colors theme-identical across light and dark renders
  • Excellent data scenario: employee satisfaction before/after flexible work policy is instantly relatable with realistic department names and plausible score ranges (57–91)
  • Sorting by improvement magnitude (largest delta at top) adds genuine storytelling value
  • Stroke halos on dots (pageBg color) create clean visual separation, especially where dots fall near gridlines
  • Domain 50–100 makes efficient use of x-axis space — no wasted whitespace below data range
  • Dynamic title font-size scaling correctly handles the long descriptive title to avoid overflow

Weaknesses

  • No annotations calling out standout improvements — Research (+22 pts) and Engineering (+19 pts) are the most striking results but not highlighted; viewers must mentally compute each gap
  • Tick and category labels at 13px CSS are slightly below the d3 guide's recommended 14px floor
  • LM-02 below par: no distinctively D3 capabilities beyond the canonical axis + join + scaleBand pattern
  • Equal visual weight for all dots — no size or opacity encoding reflecting magnitude of improvement to guide the viewer's eye

Issues Found

  1. DE-03 LOW: No annotations on the most interesting data points — the chart tells a sorting story but leaves the insight discovery entirely to the viewer
    • Fix: Add small difference labels ("+22", "+19", etc.) at the end of connecting lines, or a callout annotation on Research as the standout department
  2. VQ-01 MINOR: Tick and category labels at 13px CSS — slightly below the d3 guide's 14px recommendation
    • Fix: Increase tick and category label font-size from 13px to 14px
  3. LM-02 LOW: No distinctively D3 features beyond the canonical pattern
    • Fix: Consider D3 path generators for a subtle curved connector, or custom axis tick formatting (e.g. "+N pts" delta labels on a secondary axis)

AI Feedback for Next Attempt

The implementation is technically excellent and scores high on correctness, data quality, and code quality. To push into the 90s: (1) add difference labels ("+22", "+19", etc.) next to after-dots or at connecting line midpoints to make improvement gaps immediately legible without mental arithmetic; (2) increase tick/category label font-size from 13px to 14px; (3) leverage a more distinctive D3 capability — e.g., encode the connecting line stroke-width proportionally to the improvement gap to create visual hierarchy while staying within the dumbbell idiom.

Verdict: APPROVED

@github-actions github-actions Bot added quality:87 Quality score 87/100 ai-rejected Quality not OK, triggers update labels Jun 30, 2026
@github-actions github-actions Bot added ai-attempt-1 First repair attempt and removed ai-rejected Quality not OK, triggers update labels Jun 30, 2026
Attempt 1/3 - fixes based on AI review

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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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 Jun 30, 2026

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AI Review - Attempt 2/3

Image Description

Light render (plot-light.png): Warm off-white background (#FAF8F1). Ten horizontal dumbbells sorted by gain (largest at top): Research +22, Engineering +19, Product +18, IT Support +17, Design +16, Operations +12, Marketing +11, Customer Success +10, HR +8, Finance +7. Green dots (#009E73) mark the "before" values; lavender dots (#C475FD) mark "after". Connecting lines use an SVG linearGradient transitioning green→lavender at 0.65 opacity. Delta labels (+22 pts … +7 pts) appear on the right margin; top-2 in bold lavender, others in inkSoft. Amber (#DDCC77) callout annotations "▲ Highest gain" and "▲ Runner-up" appear below the Research and Engineering rows respectively. Legend ("Before Policy" / "After Policy") is centered below the title. All text — title, y-axis categories, x-axis ticks, x-axis label "Satisfaction Score (0–100)", delta labels, annotations — is clearly readable. Legibility verdict: PASS.

Dark render (plot-dark.png): Warm near-black background (#1A1A17). Identical chart layout and data. Title in light ink (#F0EFE8), clearly readable. Y-axis category labels and x-axis ticks in light inkSoft (#B8B7B0), readable — no dark-on-dark failures detected. Data colors identical to the light render: same green dots, same lavender dots, same green→lavender gradient lines. Top-2 delta labels in bold lavender (high contrast on dark background). Amber annotations visible and clear. Brand green #009E73 reads well on the dark surface. Legibility verdict: PASS.

Score: 91/100

Category Score Max
Visual Quality 29 30
Design Excellence 14 20
Spec Compliance 15 15
Data Quality 15 15
Code Quality 10 10
Library Mastery 8 10
Total 91 100

Visual Quality (29/30)

  • VQ-01: Text Legibility (7/8) — All font sizes explicitly set; proportions excellent. Callout annotations at 12px slightly below the 14px standard but still readable.
  • VQ-02: No Overlap (6/6) — No text or data overlaps anywhere.
  • VQ-03: Element Visibility (6/6) — Dots at r=10, connecting lines at 3px stroke — perfectly sized for 10-point sparse data.
  • VQ-04: Color Accessibility (2/2) — Imprint palette (green + lavender), CVD-safe, pageBg stroke on dots adds definition.
  • VQ-05: Layout & Canvas (4/4) — Canvas gate passed. Generous balanced margins; nothing cut off.
  • VQ-06: Axis Labels & Title (2/2) — "Satisfaction Score (0–100)" with units; Y-axis self-labeling via categories.
  • VQ-07: Palette Compliance (2/2) — First series = #009E73, second = palette[1] #C475FD, correct backgrounds, amber for annotations, data colors identical across themes.

Design Excellence (14/20)

  • DE-01: Aesthetic Sophistication (6/8) — Strong design: SVG linearGradient with gradientUnits="userSpaceOnUse" encodes directionality in the connecting line itself; top-2 bold lavender labels + amber callouts create intentional hierarchy. Clearly above defaults.
  • DE-02: Visual Refinement (4/6) — Y-axis domain removed, tick marks removed (tickSize(0)), vertical-only subtle grid, legend without box frame, generous whitespace.
  • DE-03: Data Storytelling (4/6) — Sorted by delta reveals ranking immediately. Top-2 highlighted via bold labels + amber annotations. Gradient line encodes before→after direction. Good visual hierarchy.

Spec Compliance (15/15)

  • SC-01: Plot Type (5/5) — Correct horizontal dumbbell chart.
  • SC-02: Required Features (4/4) — Two distinct dots, gradient connecting line, horizontal orientation, sorted by difference, distinct colors for start/end.
  • SC-03: Data Mapping (3/3) — X = satisfaction score (domain 50–100), Y = department categories. Correct.
  • SC-04: Title & Legend (3/3) — "Employee Satisfaction · dumbbell-basic · javascript · d3 · anyplot.ai" (optional descriptive prefix correctly used). Legend: "Before Policy" / "After Policy".

Data Quality (15/15)

  • DQ-01: Feature Coverage (6/6) — Varied deltas (7–22 pts), different starting points (57–75 before, 69–91 after) — all aspects of dumbbell type demonstrated.
  • DQ-02: Realistic Context (5/5) — Employee satisfaction scores before/after flexible work policy — specific, realistic, neutral.
  • DQ-03: Appropriate Scale (4/4) — 0–100 satisfaction scale, values in 57–91 range, deltas 7–22 pts — plausible for a workplace survey.

Code Quality (10/10)

  • CQ-01: KISS Structure (3/3) — Flat script: data → SVG → scales → axes → lines → dots → labels → annotations → legend → title.
  • CQ-02: Reproducibility (2/2) — Hard-coded deterministic data array.
  • CQ-03: Clean Imports (2/2) — No explicit imports; d3 global and ANYPLOT tokens used correctly.
  • CQ-04: Code Elegance (2/2) — Clean, idiomatic D3, no fake UI.
  • CQ-05: Output & API (1/1) — D3 is in INTERACTIVE_LIBRARIES; harness generates plot-{theme}.png + .html. Current D3 7.9 API.

Library Mastery (8/10)

  • LM-01: Idiomatic Usage (4/5) — d3.scaleLinear, d3.scaleBand, d3.axisBottom/Left, d3.format("+d"), .data().join() — all idiomatic D3 patterns.
  • LM-02: Distinctive Features (4/5) — SVG <linearGradient> with gradientUnits="userSpaceOnUse" positions the gradient in data-space coordinates (x1=margin.left, x2=margin.left+iw), so it tracks the actual data scale — a genuinely D3/SVG-distinctive technique.

Score Caps Applied

  • None

Strengths

  • SVG linearGradient with gradientUnits="userSpaceOnUse" creates a gradient connecting line that tracks the data scale precisely — a D3/SVG-distinctive technique
  • Excellent storytelling: sorted by delta, top-2 gains highlighted with bold lavender labels + amber callout annotations
  • Full theme compliance: pageBg strokes on dots, all chrome tokens correctly applied, data colors identical across both renders
  • Clean minimal design: y-axis domain removed, tick marks removed, vertical-only subtle grid, generous margins
  • Dynamic title font scaling handles the long title without overflow

Weaknesses

  • Callout annotation text is 12px, slightly below the 14px standard — increasing to 13–14px would align with tick/label sizing
  • Gradient connecting line opacity is 0.65 — increasing to 0.80 would give slightly better contrast on dark backgrounds
  • "Runner-up" annotation placement just below Engineering's dumbbell can crowd the gap between Engineering and Product rows — a small vertical offset could help spacing

Issues Found

  1. VQ-01 MINOR: Callout annotations at 12px are slightly below the 14px standard for this canvas size
    • Fix: Change annotation font-size from "12px" to "13px" or "14px"

AI Feedback for Next Attempt

Implementation is strong. Minor refinements only: increase callout annotation font-size from 12px to 13–14px for consistency, and raise gradient opacity from 0.65 to 0.80 for slightly better dark-mode visibility.

Verdict: APPROVED

@github-actions github-actions Bot added quality:91 Quality score 91/100 ai-approved Quality OK, ready for merge and removed quality:87 Quality score 87/100 labels Jun 30, 2026
@MarkusNeusinger MarkusNeusinger merged commit 61e2c46 into main Jun 30, 2026
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@MarkusNeusinger MarkusNeusinger deleted the implementation/dumbbell-basic/d3 branch June 30, 2026 23:28
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