feat(pygal): implement cat-box-strip

[github-actions]

Implementation: cat-box-strip - pygal

Implements the pygal version of cat-box-strip.

File: plots/cat-box-strip/implementations/pygal.py

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🤖 impl-generate workflow

[claude]

AI Review - Attempt 1/3

Image Description

The plot displays a box plot with strip overlay showing plant height (cm) across four light conditions: Full Sun (blue), Partial Shade (yellow), Full Shade (green), and Artificial (orange). Each category shows a filled rectangular box representing the IQR (Q1-Q3) with a darker median line inside. Vertical whiskers extend from the boxes to caps indicating the data range. Individual data points are overlaid on each box with slight horizontal jitter, using matching colors with transparency. The title "cat-box-strip · pygal · pyplots.ai" appears at the top. The x-axis is labeled "Light Condition" and y-axis is labeled "Plant Height (cm)" with values ranging from 0 to 80. The layout is clean with subtle horizontal grid lines on a white background.

Quality Score: 91/100

Criteria Checklist

Visual Quality (36/40 pts)

• VQ-01: Text Legibility (10/10) - Title, axis labels, and tick labels are all clearly readable at the 4800x2700 resolution with appropriate font sizes
• VQ-02: No Overlap (8/8) - No overlapping text elements; category labels are well-spaced
• VQ-03: Element Visibility (6/8) - Strip points are visible with good jitter and transparency; box elements are clear; slight deduction as some points in dense areas could benefit from more jitter
• VQ-04: Color Accessibility (5/5) - Blue, yellow, green, orange palette is colorblind-safe with good distinction
• VQ-05: Layout Balance (5/5) - Plot fills canvas well with balanced margins
• VQ-06: Axis Labels (2/2) - Both axes have descriptive labels with units ("Plant Height (cm)", "Light Condition")
• VQ-07: Grid & Legend (0/2) - No legend present (acceptable as colors match category labels), but grid is y-axis only which is fine

Spec Compliance (25/25 pts)

• SC-01: Plot Type (8/8) - Correct combined box plot with strip overlay
• SC-02: Data Mapping (5/5) - Categories on X, numeric values on Y correctly mapped
• SC-03: Required Features (5/5) - Box shows median, Q1, Q3; whiskers show range; strip points overlay with jitter and transparency
• SC-04: Data Range (3/3) - Y-axis shows full range 0-80, capturing all data including outliers
• SC-05: Legend Accuracy (2/2) - No legend needed; colors clearly correspond to category labels
• SC-06: Title Format (2/2) - Correct format: "cat-box-strip · pygal · pyplots.ai"

Data Quality (18/20 pts)

• DQ-01: Feature Coverage (7/8) - Shows different distributions (Full Sun higher, Full Shade lower), different spreads (Artificial has wide spread), and outliers visible beyond whiskers
• DQ-02: Realistic Context (7/7) - Plant growth under different light conditions is a plausible, neutral scientific scenario
• DQ-03: Appropriate Scale (4/5) - Plant heights 10-72 cm are realistic; slight deduction as the range could be tighter to real-world observations

Code Quality (9/10 pts)

• CQ-01: KISS Structure (3/3) - Linear flow: imports → data → plot → save; no functions/classes
• CQ-02: Reproducibility (3/3) - Uses np.random.seed(42) and additional seeds for jitter
• CQ-03: Clean Imports (2/2) - Only numpy, pygal, and Style imported; all used
• CQ-04: No Deprecated API (1/1) - Uses current pygal API
• CQ-05: Output Correct (0/1) - Saves both plot.png and plot.html correctly

Library Features (3/5 pts)

• LF-01: Uses distinctive library features (3/5) - Creative use of XY chart to manually construct box plot with strip overlay; demonstrates pygal flexibility but doesn't use pygal.Box() native feature

Strengths

• Excellent creative solution using XY chart to achieve box plot with strip overlay (pygal.Box doesn't support strip overlay natively)
• Well-designed color scheme with matching box and point colors for each category
• Good use of custom Style for proper font sizing at 4800x2700 resolution
• Clear statistical visualization with median, quartiles, whiskers, and caps properly constructed
• Jitter and transparency on strip points effectively reduce overlap

Weaknesses

• Grid only shows on y-axis, no x-axis guides (minor visual consistency issue)
• Some strip points in dense areas still overlap slightly despite jitter
• Could have used pygal's native Box chart as base and found alternative way to add strips

Verdict: APPROVED