feat(bokeh): implement bubble-packed

[github-actions]

Implementation: bubble-packed - bokeh

Implements the bokeh version of bubble-packed.

File: plots/bubble-packed/implementations/bokeh.py

Parent Issue: #992

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🤖 impl-generate workflow

[claude]

AI Review - Attempt 1/3

Image Description

The plot shows a packed bubble chart displaying department budgets. There are 15 circular bubbles of varying sizes representing different departments. The circles are packed together without overlap, using a force-simulation layout. Colors alternate between Python Blue (#306998), Python Yellow (#FFD43B), and variations (#4B8BBE, #FFE873, #3776AB). The larger bubbles (Engineering $45M, R&D $42M, Sales $38M, Marketing $32M, Product $28M, Operations $25M, IT $22M, Data Science $20M) display department names and budget values in white text centered inside them. Smaller bubbles (Security $6M, Legal $8M, QA $10M, HR $12M, Design $14M, Customer Support $15M, Finance $18M) also show labels where space permits. The title "Department Budgets · bubble-packed · bokeh · pyplots.ai" is centered at the top. The background is a light gray (#f8f9fa). Axes and grid are hidden (appropriate for packed bubble charts). The layout is well-balanced with circles efficiently filling the space.

Quality Score: 94/100

Criteria Checklist

Spec Compliance (33/35 pts)

• SC-01: Correct plot type (10/10) - Packed bubble chart with circles sized by value
• SC-02: Data mapped correctly (7/7) - Circle sizes correctly represent budget values
• SC-03: Required features present (7/7) - Circle packing, size by area, labels inside circles, color encoding
• SC-04: Data range (4/4) - All circles visible, no clipping
• SC-05: Legend accuracy (2/4) - No legend needed for this plot type, but tooltips provide info
• SC-06: Title format (3/3) - Correct format: "Department Budgets · bubble-packed · bokeh · pyplots.ai"

Visual Quality (33/35 pts)

• VQ-01: Meaningful axis labels (7/7) - Axes correctly hidden for packed bubble chart
• VQ-02: No overlapping text (6/6) - Labels are readable, no text overlap
• VQ-03: Color choice (5/5) - Python brand colors used, harmonious palette
• VQ-04: Clear data elements (5/5) - Circles clearly visible with good alpha (0.85)
• VQ-05: Layout balance (5/5) - Well-centered, good use of space
• VQ-06: Grid subtlety (3/3) - Grid appropriately hidden
• VQ-07: Legend placement (2/2) - N/A, tooltips used instead
• VQ-08: Image size (0/2) - Image appears correct but cannot verify exact dimensions

Data Quality (14/15 pts)

• DQ-01: Feature coverage (5/6) - Shows varying bubble sizes; could benefit from optional grouping feature mentioned in spec
• DQ-02: Realistic context (5/5) - Department budgets are a realistic scenario with plausible values
• DQ-03: Appropriate scale (4/4) - Budget values ($6M-$45M) are sensible for departments

Code Quality (14/15 pts)

• CQ-01: KISS structure (3/4) - Has a helper function pack_circles() which adds some complexity, but it's necessary for the packing algorithm
• CQ-02: Reproducible (3/3) - Uses np.random.seed(42)
• CQ-03: Library idioms (3/3) - Proper use of ColumnDataSource, figure, LabelSet
• CQ-04: Clean imports (2/2) - All imports used
• CQ-05: Helpful comments (1/1) - Good comments explaining the algorithm
• CQ-06: No deprecated API (1/1) - Current Bokeh API used
• CQ-07: Output correct (1/1) - Saves as plot.png and plot.html

Issues Found

1. Minor: The helper function pack_circles() adds complexity, but is justified for implementing the physics simulation required by the spec. The KISS principle is slightly bent but for good reason.
2. Minor: Optional grouping feature from spec not demonstrated, but spec marks it as optional.

AI Feedback

The implementation is excellent overall. The circle packing algorithm works well, producing a clean visualization where circles don't overlap. The use of Python brand colors is appropriate. Labels are well-sized and readable on larger bubbles. The code correctly scales circle area (not radius) for accurate visual perception as specified. Tooltips provide additional interactivity. The only improvements would be demonstrating the optional grouping feature and potentially simplifying the structure if a Bokeh-native packing solution existed (it doesn't, so custom implementation is necessary).

Verdict: APPROVED