feat(pygal): implement scatter-size-mapped

[github-actions]

Implementation: scatter-size-mapped - pygal

Implements the pygal version of scatter-size-mapped.

File: plots/scatter-size-mapped/implementations/pygal.py

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🤖 impl-generate workflow

[claude]

AI Review - Attempt 1/3

Image Description

The plot displays a bubble chart with GDP per Capita (USD) on the X-axis (ranging from ~5,000 to ~65,000) and Life Expectancy (years) on the Y-axis (ranging from 50 to ~77). The chart contains 40 data points representing synthetic countries, colored by four regions: Europe (blue), Asia (yellow), Americas (red), and Africa (green). Bubble sizes vary to represent population, with larger bubbles indicating higher populations. The data shows a clear positive correlation between GDP per capita and life expectancy. Semi-transparency (alpha ~0.6) allows overlapping bubbles to be visible. The title "scatter-size-mapped · pygal · pyplots.ai" is displayed at the top. A legend at the bottom identifies the four regions. Axis labels include units (USD, years). Grid lines are visible but subtle.

Quality Score: 88/100

Criteria Checklist

Visual Quality (35/40 pts)

• VQ-01: Text Legibility (9/10) - Title and axis labels are clearly readable, tick labels are adequate but could be slightly larger
• VQ-02: No Overlap (8/8) - No overlapping text, all elements clearly separated
• VQ-03: Element Visibility (7/8) - Bubbles are visible with good size variation, some smaller bubbles are quite small but still discernible
• VQ-04: Color Accessibility (4/5) - Colors are distinguishable, though the green (Africa) and blue (Europe) could be more distinct
• VQ-05: Layout Balance (4/5) - Good use of canvas, though slightly more whitespace on right side
• VQ-06: Axis Labels (2/2) - Both axes have descriptive labels with units: "GDP per Capita (USD)" and "Life Expectancy (years)"
• VQ-07: Grid & Legend (1/2) - Grid is present and subtle, legend at bottom is good but could be positioned closer to plot

Spec Compliance (24/25 pts)

• SC-01: Plot Type (8/8) - Correct bubble chart implementation using XY scatter with variable node sizes
• SC-02: Data Mapping (5/5) - X=GDP per capita, Y=Life expectancy, Size=Population, Color=Region - all correctly mapped
• SC-03: Required Features (4/5) - Has semi-transparency, size scaling, color coding by region. Missing explicit size legend showing what bubble sizes represent
• SC-04: Data Range (3/3) - All data points visible within axis ranges
• SC-05: Legend Accuracy (2/2) - Legend correctly identifies all four regions
• SC-06: Title Format (2/2) - Uses correct format: "scatter-size-mapped · pygal · pyplots.ai"

Data Quality (18/20 pts)

• DQ-01: Feature Coverage (7/8) - Shows good range of GDP, life expectancy, and population variations; regional patterns are clear; missing some extreme outliers
• DQ-02: Realistic Context (6/7) - Country economic data is plausible with realistic regional patterns (Europe higher GDP, Africa lower)
• DQ-03: Appropriate Scale (5/5) - GDP range (1,000-80,000), life expectancy (50-85), population (1M-1.4B) are all realistic

Code Quality (9/10 pts)

• CQ-01: KISS Structure (3/3) - Clean linear structure: imports → data → style → chart → save
• CQ-02: Reproducibility (3/3) - Uses np.random.seed(42)
• CQ-03: Clean Imports (2/2) - Only necessary imports: numpy, pygal, Style
• CQ-04: No Deprecated API (1/1) - Uses current pygal API
• CQ-05: Output Correct (0/1) - Saves as plot.png AND plot.html (both is fine, but html wasn't required)

Library Features (2/5 pts)

• LF-01: Uses distinctive library features (2/5) - Uses pygal's XY chart with node size customization, but pygal's main strength is SVG interactivity which is preserved in HTML output; the PNG rendering loses this advantage

Strengths

• Excellent data generation with realistic regional patterns (Europe higher GDP, Africa lower)
• Clean implementation using pygal's XY chart with proper node size customization via the 'node' dict
• Good use of custom Style for visual consistency
• Proper semi-transparency (opacity=0.6) for overlapping bubbles
• Correct title format following spec requirements
• Both axis labels include appropriate units

Weaknesses

• Missing size legend to indicate what bubble sizes represent (spec requirement)
• Some smaller bubbles are difficult to see at lower population values
• Library-specific font sizes are quite large (title_font_size=72) but rendering appears smaller than expected

Verdict: REJECTED

The implementation is close to approval threshold (88/100) but falls short due to the missing size legend, which is explicitly mentioned in the specification: "Include size legend showing what bubble sizes represent." This is a required feature per SC-03.

[github-actions]

🔧 Repair Attempt 1/3

Applied fixes based on AI review feedback.

Status: Repair completed, re-triggering review...

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🤖 impl-repair

[claude]

AI Review - Attempt 2/3

Image Description

The plot displays a bubble chart showing the relationship between GDP per Capita (USD) on the x-axis (range ~5,000-65,000) and Life Expectancy (years) on the y-axis (range ~50-77). Bubbles are colored by region: Europe (blue), Asia (yellow), Americas (red), and Africa (green). Bubble sizes vary to represent population, with larger bubbles indicating higher population. The chart shows the expected positive correlation between GDP and life expectancy, with European countries clustering at higher GDP/life expectancy and African countries at lower values. The title "scatter-size-mapped · pygal · pyplots.ai" is displayed at the top, and a legend at the bottom identifies the four regions. Semi-transparent bubbles (alpha ~0.6) allow overlapping points to be distinguished.

Quality Score: 91/100

Criteria Checklist

Visual Quality (35/40 pts)

• VQ-01: Text Legibility (9/10) - Title and axis labels are clearly readable; tick labels are legible but slightly smaller than optimal
• VQ-02: No Overlap (8/8) - No text overlap; bubble overlap is handled well with transparency
• VQ-03: Element Visibility (6/8) - Most bubbles are visible; smallest bubbles (representing ~1M population) are still a bit small but improved from previous attempt
• VQ-04: Color Accessibility (5/5) - Four distinct colors (blue, yellow, red, green) are distinguishable and colorblind-friendly
• VQ-05: Layout Balance (5/5) - Good use of canvas space; plot area is well proportioned with balanced margins
• VQ-06: Axis Labels (2/2) - "GDP per Capita (USD)" and "Life Expectancy (years)" include proper units
• VQ-07: Grid & Legend (0/2) - Legend is well placed at bottom; however grid lines are barely visible (too subtle)

Spec Compliance (23/25 pts)

• SC-01: Plot Type (8/8) - Correct bubble/scatter chart type
• SC-02: Data Mapping (5/5) - X=GDP, Y=Life Expectancy, Size=Population correctly mapped
• SC-03: Required Features (4/5) - Has transparency, size variation, color by category; size legend is in title but not as a separate graphical legend
• SC-04: Data Range (3/3) - All data points visible within axis ranges
• SC-05: Legend Accuracy (2/2) - Region labels are accurate
• SC-06: Title Format (1/2) - Has correct format but subtitle adds size info which slightly deviates from standard

Data Quality (20/20 pts)

• DQ-01: Feature Coverage (8/8) - Shows full range of bubble sizes, regional variation, GDP-life expectancy correlation
• DQ-02: Realistic Context (7/7) - Country economic indicators scenario is excellent and realistic
• DQ-03: Appropriate Scale (5/5) - GDP range (1K-80K), life expectancy (50-85), and population scales are realistic

Code Quality (10/10 pts)

• CQ-01: KISS Structure (3/3) - Clean linear structure: imports → data → style → chart → save
• CQ-02: Reproducibility (3/3) - Uses np.random.seed(42)
• CQ-03: Clean Imports (2/2) - Only necessary imports (numpy, pygal, Style)
• CQ-04: No Deprecated API (1/1) - Uses current pygal 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 pygal's XY chart with custom node sizing via dict, custom Style class, but could leverage more interactive features

Strengths

• Excellent realistic data generation with regional economic patterns (Europe higher GDP, Africa lower GDP)
• Proper use of pygal XY chart with custom node sizes via the node dict parameter for bubble sizing
• Well-implemented semi-transparency (opacity=0.6) for distinguishing overlapping bubbles
• Clean code structure following KISS principles with proper seed for reproducibility
• Size legend integrated into title subtitle ("Bubble Size = Population (1M to 1B+)")
• Improved minimum bubble size (12) from previous attempt makes smaller populations more visible

Weaknesses

• Grid lines are too subtle and barely visible - could use more prominent guide styling
• Title format includes subtitle which slightly deviates from the exact spec format

Verdict: APPROVED