feat(highcharts): implement area-stacked-percent

[github-actions]

Implementation: area-stacked-percent - highcharts

Implements the highcharts version of area-stacked-percent.

File: plots/area-stacked-percent/implementations/highcharts.py

---

🤖 impl-generate workflow

[claude]

AI Review - Attempt 1/3

Image Description

The plot displays a 100% stacked area chart showing "Product Market Share Evolution (2018-2025)". Three distinct colored areas fill the chart from bottom to top: purple (Product C) at the bottom maintaining ~21-25%, yellow (Product B) in the middle declining from ~40% to ~24%, and steel blue (Product A) at the top growing from ~35% to ~55%. The Y-axis shows "Market Share (%)" with values from 0% to 100% in 2% increments. The X-axis shows years from 2018 to 2025. The title "area-stacked-percent · highcharts · pyplots.ai" appears at the top with a subtitle below. A horizontal legend at the bottom shows all three products with colored squares. Data points are marked with small squares on each area boundary. The chart fills the canvas well with balanced margins.

Quality Score: 92/100

Criteria Checklist

Visual Quality (37/40 pts)

• VQ-01: Text Legibility (9/10) - Title, subtitle, axis labels, and tick marks are all clearly readable. Font sizes are appropriate for the 4800x2700 canvas.
• VQ-02: No Overlap (8/8) - No overlapping text elements; all labels are well-spaced.
• VQ-03: Element Visibility (8/8) - Areas are clearly visible with good fill opacity (0.7), markers are appropriately sized (radius 8).
• VQ-04: Color Accessibility (5/5) - Uses colorblind-safe palette (blue #306998, yellow #FFD43B, purple #9467BD). No red-green conflicts.
• VQ-05: Layout Balance (4/5) - Good canvas utilization; plot fills most of the space. Slight extra whitespace at bottom due to legend placement.
• VQ-06: Axis Labels (2/2) - Y-axis has "Market Share (%)" with units, X-axis has "Year".
• VQ-07: Grid & Legend (1/2) - Legend is well-placed and readable. No visible grid lines (Highcharts default), which is acceptable but a subtle grid could enhance readability.

Spec Compliance (25/25 pts)

• SC-01: Plot Type (8/8) - Correct 100% stacked area chart with stacking: "percent".
• SC-02: Data Mapping (5/5) - X-axis shows time (years), Y-axis shows percentage contributions.
• SC-03: Required Features (5/5) - Shows proportional changes over time, total always 100%, multiple categories stacked.
• SC-04: Data Range (3/3) - Y-axis correctly shows 0-100%, all years visible.
• SC-05: Legend Accuracy (2/2) - Legend correctly identifies Product A, B, and C.
• SC-06: Title Format (2/2) - Uses correct format "area-stacked-percent · highcharts · pyplots.ai".

Data Quality (18/20 pts)

• DQ-01: Feature Coverage (7/8) - Shows three trends: growing (Product A), declining (Product B), and stable (Product C). Good variety but could show more dramatic crossover points.
• DQ-02: Realistic Context (7/7) - Market share evolution is a perfect, realistic business scenario for this chart type.
• DQ-03: Appropriate Scale (4/5) - Values are plausible market share percentages. The data is deterministic but the values chosen are sensible.

Code Quality (8/10 pts)

• CQ-01: KISS Structure (3/3) - Linear structure: imports → data → chart setup → series → export. No functions or classes.
• CQ-02: Reproducibility (1/3) - Data is deterministic (no random), but no explicit seed comment. Minor deduction.
• 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 (4/5 pts)

• LF-01: Uses distinctive library features (4/5) - Good use of Highcharts-specific features: stacking: "percent", interactive tooltips with {point.percentage:.1f}%, proper series configuration. Could leverage more advanced features like data labels or animation settings.

Strengths

• Excellent implementation of 100% stacked area chart using Highcharts' native stacking: "percent" feature
• Colorblind-safe palette with good contrast between all three areas
• Well-configured tooltip showing percentage values for interactive use
• Realistic market share scenario that perfectly demonstrates the chart's purpose
• Good canvas utilization with appropriate margins and text sizing
• Clean, readable code following KISS principles

Weaknesses

• No visible grid lines on the chart area, which could help readers trace values more precisely
• Legend symbols use symbolRadius: 0 (squares) which is fine but circular markers might match the data point markers better

Verdict: APPROVED