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feat(bokeh): implement cat-box-strip#2768

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github-actions[bot] merged 4 commits intomainfrom
implementation/cat-box-strip/bokeh
Dec 30, 2025
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feat(bokeh): implement cat-box-strip#2768
github-actions[bot] merged 4 commits intomainfrom
implementation/cat-box-strip/bokeh

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Implementation: cat-box-strip - bokeh

Implements the bokeh version of cat-box-strip.

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


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@claude
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claude Bot commented Dec 30, 2025

AI Review - Attempt 1/3

Image Description

The plot displays a box plot with strip overlay showing plant growth (cm) across four soil types (Sandy, Clay, Loamy, Silty). The boxes are rendered in a muted blue color (#306998) with 40% transparency, showing median lines as darker horizontal segments. Yellow/gold circular markers (#FFD43B) with dark gold borders represent individual data points, scattered with jitter across each category. The title "cat-box-strip · bokeh · pyplots.ai" appears at the top left in dark text. The x-axis is labeled "Soil Type" and y-axis "Plant Growth (cm)". The background is a subtle off-white (#fafafa) with light gray dashed horizontal grid lines. Whiskers extend from boxes to show data range, with visible outliers in Clay (high values ~55-58) and Silty (low values ~12-14).

Quality Score: 92/100

Criteria Checklist

Visual Quality (36/40 pts)

  • VQ-01: Text Legibility (10/10) - Title at 36pt, axis labels at 28pt/22pt, all clearly readable at full resolution
  • VQ-02: No Overlap (8/8) - No overlapping text elements, category labels well-spaced
  • VQ-03: Element Visibility (7/8) - Strip points visible with good jitter and alpha, box elements clear. Minor: some points cluster tightly in Loamy
  • VQ-04: Color Accessibility (5/5) - Blue boxes and yellow points provide excellent contrast, colorblind-safe combination
  • VQ-05: Layout Balance (4/5) - Good canvas utilization, slight excess whitespace on right edge
  • VQ-06: Axis Labels (2/2) - Descriptive labels with units: "Plant Growth (cm)", "Soil Type"
  • VQ-07: Grid & Legend (0/2) - Grid subtle (alpha 0.3), but no legend present (though not strictly required for this plot type)

Spec Compliance (25/25 pts)

  • SC-01: Plot Type (8/8) - Correct box plot with strip overlay combination
  • SC-02: Data Mapping (5/5) - Categories on X, numeric values on Y as specified
  • 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) - All data visible including outliers
  • SC-05: Legend Accuracy (2/2) - N/A for this plot type (single series)
  • SC-06: Title Format (2/2) - Correct format: "cat-box-strip · bokeh · pyplots.ai"

Data Quality (19/20 pts)

  • DQ-01: Feature Coverage (8/8) - Excellent: shows different distributions (narrow Sandy, wide Clay), outliers (Clay high, Silty low), varying sample sizes
  • DQ-02: Realistic Context (6/7) - Plant growth by soil type is plausible and neutral. Minor: values slightly generic
  • DQ-03: Appropriate Scale (5/5) - Plant growth 10-60cm is realistic for the scenario

Code Quality (9/10 pts)

  • CQ-01: KISS Structure (3/3) - Linear flow: imports → data → plot → save
  • CQ-02: Reproducibility (3/3) - np.random.seed(42) set
  • CQ-03: Clean Imports (2/2) - All imports used (numpy, pandas, bokeh components)
  • CQ-04: No Deprecated API (1/1) - Current Bokeh API used
  • CQ-05: Output Correct (0/1) - Saves plot.png but also plot.html (minor extra file)

Library Features (3/5 pts)

  • LF-01: Uses distinctive library features (3/5) - Good use of ColumnDataSource, Whisker annotations, jitter transform. Could leverage more Bokeh-specific features like HoverTool for interactivity

Strengths

  • Excellent manual box plot construction using Bokeh primitives (Whisker, vbar, segment)
  • Good use of jitter transform for strip points to reduce overlap
  • Proper colorblind-safe color scheme (blue/yellow contrast)
  • Well-calculated IQR-based whiskers with proper outlier handling
  • Clear demonstration of different distributions and outliers across categories
  • Font sizes properly scaled for 4800x2700 canvas

Weaknesses

  • No legend explaining what box/strip elements represent (minor for this plot type)
  • Could add HoverTool to show exact values on hover for the HTML version
  • The median line segment has zero width (x0=x1) which works but is technically a point not a line

Verdict: APPROVED

@github-actions github-actions Bot added the quality:92 Quality score 92/100 label Dec 30, 2025
@github-actions github-actions Bot added the ai-approved Quality OK, ready for merge label Dec 30, 2025
@github-actions github-actions Bot merged commit ec790d8 into main Dec 30, 2025
3 checks passed
@github-actions github-actions Bot deleted the implementation/cat-box-strip/bokeh branch December 30, 2025 16:46
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