chore(highcharts): update quality score 82 and review feedback for line-retention-cohort

Author: github-actions[bot]

plots/line-retention-cohort/implementations/highcharts.py

@@ -1,7 +1,7 @@
-"""pyplots.ai
+""" pyplots.ai
 line-retention-cohort: User Retention Curve by Cohort
-Library: highcharts | Python 3.13
-Quality: pending | Created: 2026-03-16
+Library: highcharts unknown | Python 3.14.3
+Quality: 82/100 | Created: 2026-03-16
 """
 
 import tempfile

plots/line-retention-cohort/metadata/highcharts.yaml

@@ -1,10 +1,7 @@
-# Per-library metadata for highcharts implementation of line-retention-cohort
-# Auto-generated by impl-generate.yml
-
 library: highcharts
 specification_id: line-retention-cohort
 created: '2026-03-16T20:44:42Z'
-updated: '2026-03-16T20:44:42Z'
+updated: '2026-03-16T20:49:03Z'
 generated_by: claude-opus-4-5-20251101
 workflow_run: 23164943620
 issue: 4572
@@ -13,7 +10,212 @@ library_version: unknown
 preview_url: https://storage.googleapis.com/pyplots-images/plots/line-retention-cohort/highcharts/plot.png
 preview_thumb: https://storage.googleapis.com/pyplots-images/plots/line-retention-cohort/highcharts/plot_thumb.png
 preview_html: https://storage.googleapis.com/pyplots-images/plots/line-retention-cohort/highcharts/plot.html
-quality_score: null
+quality_score: 82
 review:
-  strengths: []
-  weaknesses: []
+  strengths:
+  - Perfect spec compliance - all required features implemented (cohort curves starting
+    at 100%, legend with sizes, reference line, varying emphasis)
+  - Good data storytelling through progressive line thickness and color intensity
+  - Clean, well-structured code with proper seed and Highcharts export pattern
+  - Realistic, business-relevant data context
+  weaknesses:
+  - Monochromatic blue palette makes the lightest cohorts (Jan, Feb) nearly indistinguishable
+    from each other
+  - Y-axis gridlines at every 2% increment create excessive visual clutter (~50 gridlines)
+  - LineSeries imported from wrong module (series.area instead of series.line)
+  image_description: The plot displays a line chart with 5 retention curves for monthly
+    signup cohorts (Jan-May 2025). The title reads "line-retention-cohort · highcharts
+    · pyplots.ai" with a subtitle "User Retention by Monthly Signup Cohort". All curves
+    start at 100% at Week 0 and exhibit exponential decay over 12 weeks. The Y-axis
+    shows "Retained Users (%)" from 0% to 100% with gridlines at every 2% increment
+    (very dense). The X-axis shows "Week 0" through "Week 12" labeled as "Weeks Since
+    Signup". A dashed horizontal line at 20% marks the "20% Retention Target" with
+    a label at the right edge. The legend is positioned vertically on the right, listing
+    each cohort with sample size (e.g., "Jan 2025 (n=1,245)"). Colors use a monochromatic
+    blue palette from lightest (Jan 2025) to darkest (May 2025). Older cohorts have
+    thinner lines and smaller markers, newer cohorts are thicker and bolder. The Jan
+    2025 cohort drops to approximately 18% by Week 12, while May 2025 retains approximately
+    35%.
+  criteria_checklist:
+    visual_quality:
+      score: 25
+      max: 30
+      items:
+      - id: VQ-01
+        name: Text Legibility
+        score: 7
+        max: 8
+        passed: true
+        comment: Font sizes explicitly set throughout (title 48px, axis titles 36px,
+          tick labels 28px, legend 30px). The 20% target label is slightly small.
+      - id: VQ-02
+        name: No Overlap
+        score: 6
+        max: 6
+        passed: true
+        comment: No overlapping text elements
+      - id: VQ-03
+        name: Element Visibility
+        score: 4
+        max: 6
+        passed: false
+        comment: Lines visible but lightest two blue cohorts are nearly indistinguishable
+          from each other and from the background
+      - id: VQ-04
+        name: Color Accessibility
+        score: 3
+        max: 4
+        passed: false
+        comment: Colorblind-safe but monochromatic palette has insufficient contrast
+          between adjacent series
+      - id: VQ-05
+        name: Layout & Canvas
+        score: 3
+        max: 4
+        passed: true
+        comment: Good margins but significant empty space below 20% threshold
+      - id: VQ-06
+        name: Axis Labels & Title
+        score: 2
+        max: 2
+        passed: true
+        comment: Descriptive labels with units
+    design_excellence:
+      score: 12
+      max: 20
+      items:
+      - id: DE-01
+        name: Aesthetic Sophistication
+        score: 5
+        max: 8
+        passed: true
+        comment: Custom blue gradient palette with intentional hierarchy. Above defaults
+          but not publication-level.
+      - id: DE-02
+        name: Visual Refinement
+        score: 3
+        max: 6
+        passed: false
+        comment: Grid excessively dense at every 2%. Grid color subtle but density
+          clutters.
+      - id: DE-03
+        name: Data Storytelling
+        score: 4
+        max: 6
+        passed: true
+        comment: Good hierarchy via progressive line thickness and color. Reference
+          line adds business context.
+    spec_compliance:
+      score: 15
+      max: 15
+      items:
+      - id: SC-01
+        name: Plot Type
+        score: 5
+        max: 5
+        passed: true
+        comment: Correct line chart with multiple cohort curves
+      - id: SC-02
+        name: Required Features
+        score: 4
+        max: 4
+        passed: true
+        comment: All spec features present
+      - id: SC-03
+        name: Data Mapping
+        score: 3
+        max: 3
+        passed: true
+        comment: X/Y correctly mapped
+      - id: SC-04
+        name: Title & Legend
+        score: 3
+        max: 3
+        passed: true
+        comment: Correct title format and legend labels with cohort sizes
+    data_quality:
+      score: 14
+      max: 15
+      items:
+      - id: DQ-01
+        name: Feature Coverage
+        score: 5
+        max: 6
+        passed: true
+        comment: 5 cohorts with varying decay rates showing improving retention trend
+      - id: DQ-02
+        name: Realistic Context
+        score: 5
+        max: 5
+        passed: true
+        comment: Realistic SaaS product analytics scenario
+      - id: DQ-03
+        name: Appropriate Scale
+        score: 4
+        max: 4
+        passed: true
+        comment: Realistic retention values and cohort sizes
+    code_quality:
+      score: 10
+      max: 10
+      items:
+      - id: CQ-01
+        name: KISS Structure
+        score: 3
+        max: 3
+        passed: true
+        comment: Clean linear flow
+      - id: CQ-02
+        name: Reproducibility
+        score: 2
+        max: 2
+        passed: true
+        comment: np.random.seed(42) set
+      - id: CQ-03
+        name: Clean Imports
+        score: 2
+        max: 2
+        passed: true
+        comment: All imports used
+      - id: CQ-04
+        name: Code Elegance
+        score: 2
+        max: 2
+        passed: true
+        comment: Clean loop for series creation
+      - id: CQ-05
+        name: Output & API
+        score: 1
+        max: 1
+        passed: true
+        comment: Saves plot.png via Selenium
+    library_mastery:
+      score: 6
+      max: 10
+      items:
+      - id: LM-01
+        name: Idiomatic Usage
+        score: 4
+        max: 5
+        passed: true
+        comment: Good use of Chart, HighchartsOptions, plotLines. Could better leverage
+          tooltip formatting.
+      - id: LM-02
+        name: Distinctive Features
+        score: 2
+        max: 5
+        passed: false
+        comment: Uses plotLines and vertical legend but doesn't leverage more distinctive
+          Highcharts features
+  verdict: REJECTED
+impl_tags:
+  dependencies:
+  - selenium
+  techniques:
+  - html-export
+  patterns:
+  - data-generation
+  - iteration-over-groups
+  dataprep: []
+  styling:
+  - grid-styling