chore(plotly): update quality score 92 and review feedback for bar-basic

Author: github-actions[bot]

plots/bar-basic/implementations/plotly.py

@@ -1,7 +1,7 @@
-"""pyplots.ai
+""" pyplots.ai
 bar-basic: Basic Bar Chart
 Library: plotly 6.5.2 | Python 3.14
-Quality: 84/100 | Created: 2026-02-14
+Quality: 92/100 | Created: 2026-02-14
 """
 
 import plotly.graph_objects as go

plots/bar-basic/metadata/plotly.yaml

@@ -1,7 +1,7 @@
 library: plotly
 specification_id: bar-basic
 created: 2025-12-13 23:14:18+00:00
-updated: '2026-02-14T14:45:49Z'
+updated: '2026-02-14T14:55:26Z'
 generated_by: claude-opus-4-6
 workflow_run: 20199224291
 issue: 612
@@ -10,112 +10,121 @@ library_version: 6.5.2
 preview_url: https://storage.googleapis.com/pyplots-images/plots/bar-basic/plotly/plot.png
 preview_thumb: https://storage.googleapis.com/pyplots-images/plots/bar-basic/plotly/plot_thumb.png
 preview_html: https://storage.googleapis.com/pyplots-images/plots/bar-basic/plotly/plot.html
-quality_score: 84
+quality_score: 92
 impl_tags:
   dependencies: []
   techniques:
   - annotations
+  - html-export
   patterns: []
   dataprep: []
   styling:
+  - edge-highlighting
   - grid-styling
 review:
   strengths:
-  - Excellent text legibility with all font sizes explicitly configured for 4800x2700
-    output
-  - Clean plotly_white template with subtle gridlines produces a professional uncluttered
-    look
-  - Data sorted in descending order aids readability and implies ranking narrative
-  - Dollar-formatted value labels above bars with texttemplate provide precise reading
-  - Realistic business scenario with plausible sales figures
-  - HTML export leverages Plotly native interactivity strength
+  - 'Excellent data storytelling with the Top seller annotation providing contextual
+    insight (17% ahead of #2) and the average reference line giving statistical context'
+  - All font sizes explicitly set and well-calibrated for 4800x2700 output — perfectly
+    readable
+  - Clean, idiomatic Plotly code with good use of library-specific features (hovertemplate,
+    texttemplate, add_hline with annotation)
+  - Thoughtful visual hierarchy with subtle darker shade for top performer and minimal
+    bar outlines
+  - Dual output (PNG + interactive HTML) leverages Plotly interactive strengths
   weaknesses:
-  - 'No data storytelling: add an annotation highlighting a key insight (e.g. top
-    performer gap between categories or a threshold line)'
-  - Aesthetic sophistication is well-configured default level — consider subtle enhancements
-    like rounded bar corners a gradient effect or a more refined color treatment to
-    elevate beyond standard template
-  - Could highlight one specific bar with a different color or opacity to draw attention
-    as the spec suggests
+  - The Top seller annotation box overlaps/crowds the $45,200 value label on the Electronics
+    bar, creating visual clutter at the most important data point
+  - The color contrast between the highlighted top bar (#1A4971) and regular bars
+    (#306998) is quite subtle — could be more visually distinct to reinforce the storytelling
+  - The average line annotation is pushed to the far right margin — could be positioned
+    more prominently
   improvements: []
-  verdict: REJECTED
-  image_description: The plot displays a vertical bar chart with 8 product categories
-    on the x-axis (Electronics, Clothing, Home & Garden, Sports, Books, Toys, Automotive,
-    Health) sorted in descending order by sales value. All bars use a single dark
-    blue color (#306998 — Python Blue). Each bar has a dollar-formatted value label
-    positioned above it (ranging from $45,200 for Electronics down to $15,400 for
-    Health). The y-axis shows "Sales ($)" with dollar-formatted tick labels from $0
-    to $45,000 and subtle gray gridlines. The x-axis is labeled "Product Category."
-    The title "bar-basic · plotly · pyplots.ai" is centered at the top. The background
-    is clean white (plotly_white template) with good spacing between bars.
+  verdict: APPROVED
+  image_description: 'The plot displays a vertical bar chart titled "bar-basic · plotly
+    · pyplots.ai" centered at the top. Eight bars represent product sales by department,
+    sorted in descending order from left to right: Electronics ($45,200), Clothing
+    ($38,700), Home & Garden ($31,500), Sports ($27,800), Books ($24,300), Toys ($21,600),
+    Automotive ($18,900), and Health ($15,400). Dollar-formatted value labels appear
+    above each bar. The top-performing Electronics bar is rendered in a slightly darker
+    navy blue (#1A4971) while the remaining bars use a medium blue (#306998). A "Top
+    seller / 17% ahead of #2" annotation with an arrow points to the Electronics bar.
+    A dotted horizontal reference line marks the average at $27,925 with a label on
+    the far right. The background is white with very subtle horizontal gridlines.
+    The x-axis is labeled "Product Category" and the y-axis "Sales ($)" with dollar-formatted
+    tick marks. Overall layout is clean and well-proportioned.'
   criteria_checklist:
     visual_quality:
-      score: 29
+      score: 28
       max: 30
       items:
       - id: VQ-01
         name: Text Legibility
         score: 8
         max: 8
         passed: true
-        comment: 'All font sizes explicitly set: title=28pt, axis labels=22pt, ticks=18pt,
-          value labels=22pt'
+        comment: 'All font sizes explicitly set: title 28pt, axis labels 22pt, tick
+          labels 18pt, bar text 20pt. All perfectly readable at 4800x2700.'
       - id: VQ-02
         name: No Overlap
-        score: 6
+        score: 4
         max: 6
-        passed: true
-        comment: No overlapping text elements, categories well-spaced
+        passed: false
+        comment: The Top seller annotation box and the $45,200 value label on the
+          Electronics bar create visual clutter; the annotation arrow and value text
+          compete for the same space.
       - id: VQ-03
         name: Element Visibility
         score: 6
         max: 6
         passed: true
-        comment: Bars well-sized with bargap=0.3, all clearly visible
+        comment: Bars well-sized with appropriate bargap (0.3), all elements clearly
+          visible.
       - id: VQ-04
         name: Color Accessibility
         score: 4
         max: 4
         passed: true
-        comment: Single Python Blue color, no colorblind concerns
+        comment: Single-hue blue palette is inherently colorblind-safe. No red-green
+          differentiation.
       - id: VQ-05
-        name: Layout & Canvas
-        score: 3
+        name: Layout Balance
+        score: 4
         max: 4
         passed: true
-        comment: Good layout with explicit margins, some vertical wasted space above
-          tallest value label
+        comment: Good canvas utilization with balanced margins. Plot fills appropriate
+          portion of canvas.
       - id: VQ-06
         name: Axis Labels & Title
         score: 2
         max: 2
         passed: true
-        comment: Sales ($) includes units, Product Category is descriptive
+        comment: Product Category and Sales ($) are descriptive with units.
     design_excellence:
-      score: 10
+      score: 16
       max: 20
       items:
       - id: DE-01
         name: Aesthetic Sophistication
-        score: 4
+        score: 6
         max: 8
-        passed: false
-        comment: Well-configured plotly_white template, clean but standard configured
-          default level
+        passed: true
+        comment: Custom color palette with intentional hierarchy, subtle bar outlines,
+          clean plotly_white template. Clearly above defaults, strong design.
       - id: DE-02
         name: Visual Refinement
-        score: 4
+        score: 5
         max: 6
         passed: true
-        comment: plotly_white removes clutter, subtle gridlines, explicit margins
-          show refinement
+        comment: Subtle gridlines (rgba 0.07), clean template, generous whitespace,
+          polished margins. Average line label pushed to far right edge.
       - id: DE-03
         name: Data Storytelling
-        score: 2
+        score: 5
         max: 6
-        passed: false
-        comment: Sorted descending implies ranking but no annotations or callouts
-          highlighting key insights
+        passed: true
+        comment: 'Top seller annotation with contextual insight (17% ahead of #2),
+          average reference line for context. Good narrative elements.'
     spec_compliance:
       score: 15
       max: 15
@@ -125,25 +134,27 @@ review:
         score: 5
         max: 5
         passed: true
-        comment: Correct vertical bar chart
+        comment: Correct vertical bar chart.
       - id: SC-02
         name: Required Features
         score: 4
         max: 4
         passed: true
-        comment: Value labels, consistent widths, adequate spacing, single color
+        comment: Consistent bar widths, value labels above bars, single color with
+          highlight, adequate spacing. All spec notes addressed.
       - id: SC-03
         name: Data Mapping
         score: 3
         max: 3
         passed: true
-        comment: Categories on X, values on Y, correctly assigned
+        comment: Categories on x-axis, values on y-axis, correct mapping.
       - id: SC-04
         name: Title & Legend
         score: 3
         max: 3
         passed: true
-        comment: Title format correct, no legend needed for single-series
+        comment: Title format bar-basic · plotly · pyplots.ai correct. No legend needed
+          for single series.
     data_quality:
       score: 14
       max: 15
@@ -153,70 +164,72 @@ review:
         score: 5
         max: 6
         passed: true
-        comment: 8 categories with good value range, sorted descending shows ranking
-          well
+        comment: 8 categories with clear variation, sorted descending. Good range
+          ($15K-$45K). Could show more extreme variation.
       - id: DQ-02
         name: Realistic Context
         score: 5
         max: 5
         passed: true
-        comment: Product sales by department is a real, neutral business scenario
+        comment: Product sales by department is a real, neutral business scenario.
       - id: DQ-03
         name: Appropriate Scale
         score: 4
         max: 4
         passed: true
-        comment: Sales figures in $15k-$45k range are realistic for department-level
-          retail
+        comment: Sales figures $15K-$45K are realistic for department-level retail
+          sales.
     code_quality:
-      score: 9
+      score: 10
       max: 10
       items:
       - id: CQ-01
         name: KISS Structure
         score: 3
         max: 3
         passed: true
-        comment: 'Linear flow: imports, data, figure, layout, save'
+        comment: 'Clean flat structure: import, data, figure, annotation, layout,
+          save.'
       - id: CQ-02
         name: Reproducibility
         score: 2
         max: 2
         passed: true
-        comment: Deterministic hardcoded data
+        comment: Deterministic hardcoded data, no randomness needed.
       - id: CQ-03
         name: Clean Imports
         score: 2
         max: 2
         passed: true
-        comment: Only plotly.graph_objects imported and used
+        comment: Only plotly.graph_objects imported and used.
       - id: CQ-04
         name: Code Elegance
-        score: 1
+        score: 2
         max: 2
         passed: true
-        comment: Clean and readable, slightly verbose
+        comment: Clean, well-organized, appropriate complexity.
       - id: CQ-05
         name: Output & API
         score: 1
         max: 1
         passed: true
-        comment: Saves plot.png at correct dimensions plus HTML
+        comment: Saves as plot.png (1600x900, scale=3) and plot.html. No deprecated
+          APIs.
     library_mastery:
-      score: 7
+      score: 9
       max: 10
       items:
       - id: LM-01
         name: Idiomatic Usage
-        score: 4
+        score: 5
         max: 5
         passed: true
-        comment: Uses go.Figure() + go.Bar() correctly with plotly idioms like texttemplate
-          and textposition
+        comment: 'Expert use of graph_objects API: go.Bar, add_trace, update_layout,
+          add_annotation, add_hline with annotation dict.'
       - id: LM-02
         name: Distinctive Features
-        score: 3
+        score: 4
         max: 5
         passed: true
-        comment: Uses Plotly-distinctive texttemplate format string, write_html, plotly_white
-          template
+        comment: 'Uses Plotly-specific features: hovertemplate, texttemplate, add_hline
+          with embedded annotation, dual output (PNG + HTML).'