feat(highcharts): implement box-horizontal

[github-actions]

Implementation: box-horizontal - highcharts

Implements the highcharts version of box-horizontal.

File: plots/box-horizontal/implementations/highcharts.py

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🤖 impl-generate workflow

[claude]

AI Review - Attempt 1/3

Image Description

The plot displays a horizontal box plot showing "Response Time Distribution by Service Type". The title "box-horizontal · highcharts · pyplots.ai" appears at the top in bold black text, with a gray subtitle below. Five service categories are shown on the y-axis: API Gateway, Database Query, File Upload, Authentication, and Payment Processing. The x-axis shows "Response Time (ms)" ranging from 0 to 490. Each box plot is rendered with a blue fill color (Python blue #306998) with transparency, blue outlines for boxes and whiskers, and yellow/gold median lines. The boxes show different distributions - Authentication has the smallest/fastest times, while File Upload has the largest spread extending to ~490ms. A subtle gray grid helps with value reading. The layout is clean with good spacing between elements.

Quality Score: 92/100

Criteria Checklist

Visual Quality (36/40 pts)

• VQ-01: Text Legibility (10/10) - Title, subtitle, axis labels, and tick marks are all clearly readable at full resolution
• VQ-02: No Overlap (8/8) - No overlapping text elements; category labels on y-axis are well-spaced
• VQ-03: Element Visibility (8/8) - Box plots are well-sized with good pointWidth, whiskers clearly visible
• VQ-04: Color Accessibility (5/5) - Uses Python blue palette with yellow median; colorblind-safe
• VQ-05: Layout Balance (3/5) - Good use of canvas but some excessive whitespace between categories
• VQ-06: Axis Labels (2/2) - "Service Type" and "Response Time (ms)" with units
• VQ-07: Grid & Legend (0/2) - Grid is appropriately subtle, legend disabled (appropriate for single series)

Spec Compliance (25/25 pts)

• SC-01: Plot Type (8/8) - Correct horizontal box plot using inverted chart
• SC-02: Data Mapping (5/5) - Categories on y-axis, values on x-axis as specified
• SC-03: Required Features (5/5) - Shows median, quartiles, whiskers (1.5*IQR)
• SC-04: Data Range (3/3) - All data visible within axis range
• SC-05: Legend Accuracy (2/2) - Legend disabled appropriately for single-series
• SC-06: Title Format (2/2) - Correct format: "box-horizontal · highcharts · pyplots.ai"

Data Quality (18/20 pts)

• DQ-01: Feature Coverage (6/8) - Shows different distributions and spreads, but no explicit outliers shown
• DQ-02: Realistic Context (7/7) - Response times by service type is an excellent, neutral, real-world scenario
• DQ-03: Appropriate Scale (5/5) - Values are realistic for API response times (5-490ms)

Code Quality (10/10 pts)

• CQ-01: KISS Structure (3/3) - Linear flow: imports → data → chart config → export
• CQ-02: Reproducibility (3/3) - Uses np.random.seed(42)
• CQ-03: Clean Imports (2/2) - All imports are used
• CQ-04: No Deprecated API (1/1) - Uses current Highcharts API
• CQ-05: Output Correct (1/1) - Saves as plot.png and plot.html

Library Features (3/5 pts)

• LF-01: Uses distinctive library features (3/5) - Uses Highcharts inverted chart, BoxPlotSeries, proper styling options, but could leverage more interactive features

Strengths

• Excellent realistic data scenario using API response times by service type
• Proper use of Highcharts inverted chart for horizontal orientation
• Good color scheme with Python blue boxes and yellow median lines for contrast
• Well-sized text elements readable at full resolution
• Correct whisker calculation using 1.5*IQR methodology
• Clean code structure following KISS principles

Weaknesses

• Data does not include explicit outlier points which would better demonstrate box plot capabilities
• Vertical spacing between box plots could be tighter to reduce whitespace

Verdict: APPROVED