From 290ad0a15e6cd96206a3695d0bcef215e551e5e0 Mon Sep 17 00:00:00 2001 From: Markus Neusinger <2921697+MarkusNeusinger@users.noreply.github.com> Date: Sat, 14 Feb 2026 15:38:02 +0100 Subject: [PATCH 1/4] =?UTF-8?q?update(bar-basic):=20plotly=20=E2=80=94=20c?= =?UTF-8?q?omprehensive=20quality=20review?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Added y-axis dollar formatting, text label $ prefix, rebalanced font sizes for scale_factor=3 rendering. --- plots/bar-basic/implementations/plotly.py | 22 ++++++++++++---------- plots/bar-basic/metadata/plotly.yaml | 10 +++++----- 2 files changed, 17 insertions(+), 15 deletions(-) diff --git a/plots/bar-basic/implementations/plotly.py b/plots/bar-basic/implementations/plotly.py index fa23798ed0..316a7e066b 100644 --- a/plots/bar-basic/implementations/plotly.py +++ b/plots/bar-basic/implementations/plotly.py @@ -1,7 +1,7 @@ -""" pyplots.ai +"""pyplots.ai bar-basic: Basic Bar Chart -Library: plotly 6.5.0 | Python 3.13.11 -Quality: 100/100 | Created: 2025-12-13 +Library: plotly 6.5.2 | Python 3.14 +Quality: /100 | Updated: 2026-02-14 """ import plotly.graph_objects as go @@ -21,23 +21,25 @@ marker_color="#306998", text=values, textposition="outside", - texttemplate="%{text:,.0f}", - textfont={"size": 32}, + texttemplate="$%{text:,.0f}", + textfont={"size": 22}, ) ) # Layout fig.update_layout( - title={"text": "bar-basic · plotly · pyplots.ai", "font": {"size": 40}, "x": 0.5, "xanchor": "center"}, - xaxis={"title": {"text": "Product Category", "font": {"size": 40}}, "tickfont": {"size": 32}}, + title={"text": "bar-basic \u00b7 plotly \u00b7 pyplots.ai", "font": {"size": 28}, "x": 0.5, "xanchor": "center"}, + xaxis={"title": {"text": "Product Category", "font": {"size": 22}}, "tickfont": {"size": 18}}, yaxis={ - "title": {"text": "Sales ($)", "font": {"size": 40}}, - "tickfont": {"size": 32}, + "title": {"text": "Sales ($)", "font": {"size": 22}}, + "tickfont": {"size": 18}, + "tickprefix": "$", + "tickformat": ",.0f", "gridcolor": "rgba(0,0,0,0.1)", }, template="plotly_white", bargap=0.3, - margin={"t": 120, "b": 80, "l": 100, "r": 50}, + margin={"t": 100, "b": 80, "l": 100, "r": 50}, ) # Save diff --git a/plots/bar-basic/metadata/plotly.yaml b/plots/bar-basic/metadata/plotly.yaml index 3860648bbf..c6c97c9e5e 100644 --- a/plots/bar-basic/metadata/plotly.yaml +++ b/plots/bar-basic/metadata/plotly.yaml @@ -1,16 +1,16 @@ library: plotly specification_id: bar-basic created: 2025-12-13 23:14:18+00:00 -updated: 2025-12-13 23:14:18+00:00 -generated_by: claude-opus-4-5-20251101 +updated: 2026-02-14T14:34:56+00:00 +generated_by: claude-opus-4-6 workflow_run: 20199224291 issue: 612 -python_version: 3.13.11 -library_version: 6.5.0 +python_version: "3.14" +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: 100 +quality_score: null impl_tags: dependencies: [] techniques: From d106a32721f2c38e6da0bf5514f53c5f74710684 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Sat, 14 Feb 2026 14:45:49 +0000 Subject: [PATCH 2/4] chore(plotly): update quality score 84 and review feedback for bar-basic --- plots/bar-basic/implementations/plotly.py | 4 +- plots/bar-basic/metadata/plotly.yaml | 216 +++++++++++++++++++++- 2 files changed, 208 insertions(+), 12 deletions(-) diff --git a/plots/bar-basic/implementations/plotly.py b/plots/bar-basic/implementations/plotly.py index 316a7e066b..c6192350d9 100644 --- a/plots/bar-basic/implementations/plotly.py +++ b/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: /100 | Updated: 2026-02-14 +Quality: 84/100 | Created: 2026-02-14 """ import plotly.graph_objects as go diff --git a/plots/bar-basic/metadata/plotly.yaml b/plots/bar-basic/metadata/plotly.yaml index c6c97c9e5e..e06e10633e 100644 --- a/plots/bar-basic/metadata/plotly.yaml +++ b/plots/bar-basic/metadata/plotly.yaml @@ -1,26 +1,222 @@ library: plotly specification_id: bar-basic created: 2025-12-13 23:14:18+00:00 -updated: 2026-02-14T14:34:56+00:00 +updated: '2026-02-14T14:45:49Z' generated_by: claude-opus-4-6 workflow_run: 20199224291 issue: 612 -python_version: "3.14" +python_version: '3.14' 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: null +quality_score: 84 impl_tags: dependencies: [] techniques: - - html-export - patterns: - - explicit-figure + - annotations + patterns: [] dataprep: [] - styling: [] + styling: + - grid-styling review: - strengths: [] - weaknesses: [] + 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 + 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 improvements: [] - verdict: APPROVED + 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 $45,000 and subtle gray gridlines. The x-axis is labeled "Product Category." + The title "bar-basic · plotly · pyplots.ai" is centered at the top. The background + is clean white (plotly_white template) with good spacing between bars. + criteria_checklist: + visual_quality: + score: 29 + max: 30 + items: + - id: VQ-01 + name: Text Legibility + score: 8 + max: 8 + passed: true + comment: 'All font sizes explicitly set: title=28pt, axis labels=22pt, ticks=18pt, + value labels=22pt' + - id: VQ-02 + name: No Overlap + score: 6 + max: 6 + passed: true + comment: No overlapping text elements, categories well-spaced + - id: VQ-03 + name: Element Visibility + score: 6 + max: 6 + passed: true + comment: Bars well-sized with bargap=0.3, all clearly visible + - id: VQ-04 + name: Color Accessibility + score: 4 + max: 4 + passed: true + comment: Single Python Blue color, no colorblind concerns + - id: VQ-05 + name: Layout & Canvas + score: 3 + max: 4 + passed: true + comment: Good layout with explicit margins, some vertical wasted space above + tallest value label + - id: VQ-06 + name: Axis Labels & Title + score: 2 + max: 2 + passed: true + comment: Sales ($) includes units, Product Category is descriptive + design_excellence: + score: 10 + max: 20 + items: + - id: DE-01 + name: Aesthetic Sophistication + score: 4 + max: 8 + passed: false + comment: Well-configured plotly_white template, clean but standard configured + default level + - id: DE-02 + name: Visual Refinement + score: 4 + max: 6 + passed: true + comment: plotly_white removes clutter, subtle gridlines, explicit margins + show refinement + - id: DE-03 + name: Data Storytelling + score: 2 + max: 6 + passed: false + comment: Sorted descending implies ranking but no annotations or callouts + highlighting key insights + spec_compliance: + score: 15 + max: 15 + items: + - id: SC-01 + name: Plot Type + score: 5 + max: 5 + passed: true + 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 + - id: SC-03 + name: Data Mapping + score: 3 + max: 3 + passed: true + comment: Categories on X, values on Y, correctly assigned + - id: SC-04 + name: Title & Legend + score: 3 + max: 3 + passed: true + comment: Title format correct, no legend needed for single-series + data_quality: + score: 14 + max: 15 + items: + - id: DQ-01 + name: Feature Coverage + score: 5 + max: 6 + passed: true + comment: 8 categories with good value range, sorted descending shows ranking + well + - id: DQ-02 + name: Realistic Context + score: 5 + max: 5 + passed: true + 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 + code_quality: + score: 9 + max: 10 + items: + - id: CQ-01 + name: KISS Structure + score: 3 + max: 3 + passed: true + comment: 'Linear flow: imports, data, figure, layout, save' + - id: CQ-02 + name: Reproducibility + score: 2 + max: 2 + passed: true + comment: Deterministic hardcoded data + - id: CQ-03 + name: Clean Imports + score: 2 + max: 2 + passed: true + comment: Only plotly.graph_objects imported and used + - id: CQ-04 + name: Code Elegance + score: 1 + max: 2 + passed: true + comment: Clean and readable, slightly verbose + - id: CQ-05 + name: Output & API + score: 1 + max: 1 + passed: true + comment: Saves plot.png at correct dimensions plus HTML + library_mastery: + score: 7 + max: 10 + items: + - id: LM-01 + name: Idiomatic Usage + score: 4 + max: 5 + passed: true + comment: Uses go.Figure() + go.Bar() correctly with plotly idioms like texttemplate + and textposition + - id: LM-02 + name: Distinctive Features + score: 3 + max: 5 + passed: true + comment: Uses Plotly-distinctive texttemplate format string, write_html, plotly_white + template From 0c67c0781f131a7626053a1e125b233bc37e9cfb Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Sat, 14 Feb 2026 14:51:38 +0000 Subject: [PATCH 3/4] fix(plotly): address review feedback for bar-basic Attempt 1/3 - fixes based on AI review --- plots/bar-basic/implementations/plotly.py | 68 +++++++++++++++++++---- 1 file changed, 58 insertions(+), 10 deletions(-) diff --git a/plots/bar-basic/implementations/plotly.py b/plots/bar-basic/implementations/plotly.py index c6192350d9..c4cf184152 100644 --- a/plots/bar-basic/implementations/plotly.py +++ b/plots/bar-basic/implementations/plotly.py @@ -1,4 +1,4 @@ -""" pyplots.ai +"""pyplots.ai bar-basic: Basic Bar Chart Library: plotly 6.5.2 | Python 3.14 Quality: 84/100 | Created: 2026-02-14 @@ -7,10 +7,13 @@ import plotly.graph_objects as go -# Data +# Data — product sales by department, sorted descending categories = ["Electronics", "Clothing", "Home & Garden", "Sports", "Books", "Toys", "Automotive", "Health"] values = [45200, 38700, 31500, 27800, 24300, 21600, 18900, 15400] +# Highlight the top performer with a distinct shade +bar_colors = ["#1A4971"] + ["#306998"] * (len(categories) - 1) + # Create figure fig = go.Figure() @@ -18,28 +21,73 @@ go.Bar( x=categories, y=values, - marker_color="#306998", + marker={"color": bar_colors, "line": {"color": "rgba(0,0,0,0.08)", "width": 1}}, text=values, textposition="outside", texttemplate="$%{text:,.0f}", - textfont={"size": 22}, + textfont={"size": 20, "color": "#444444"}, + hovertemplate="%{x}
Sales: $%{y:,.0f}", ) ) +# Annotation: highlight the leading category with an insight callout +fig.add_annotation( + x="Electronics", + y=45200, + text="Top seller
17% ahead of #2", + showarrow=True, + arrowhead=2, + arrowsize=1.2, + arrowwidth=2, + arrowcolor="#1A4971", + ax=100, + ay=-75, + font={"size": 18, "color": "#1A4971"}, + align="left", + bordercolor="#1A4971", + borderwidth=1.5, + borderpad=6, + bgcolor="rgba(255,255,255,0.85)", +) + +# Subtle average reference line +avg_value = sum(values) / len(values) +fig.add_hline( + y=avg_value, + line={"color": "rgba(0,0,0,0.25)", "width": 1.5, "dash": "dot"}, + annotation={ + "text": f"Avg ${avg_value:,.0f}", + "font": {"size": 16, "color": "#666666"}, + "showarrow": False, + "xanchor": "left", + }, +) + # Layout fig.update_layout( - title={"text": "bar-basic \u00b7 plotly \u00b7 pyplots.ai", "font": {"size": 28}, "x": 0.5, "xanchor": "center"}, - xaxis={"title": {"text": "Product Category", "font": {"size": 22}}, "tickfont": {"size": 18}}, + title={ + "text": "bar-basic · plotly · pyplots.ai", + "font": {"size": 28, "color": "#222222"}, + "x": 0.5, + "xanchor": "center", + }, + xaxis={ + "title": {"text": "Product Category", "font": {"size": 22, "color": "#333333"}}, + "tickfont": {"size": 18, "color": "#444444"}, + }, yaxis={ - "title": {"text": "Sales ($)", "font": {"size": 22}}, - "tickfont": {"size": 18}, + "title": {"text": "Sales ($)", "font": {"size": 22, "color": "#333333"}}, + "tickfont": {"size": 18, "color": "#444444"}, "tickprefix": "$", "tickformat": ",.0f", - "gridcolor": "rgba(0,0,0,0.1)", + "gridcolor": "rgba(0,0,0,0.07)", + "zeroline": False, }, template="plotly_white", bargap=0.3, - margin={"t": 100, "b": 80, "l": 100, "r": 50}, + margin={"t": 100, "b": 80, "l": 100, "r": 120}, + plot_bgcolor="white", + showlegend=False, ) # Save From d07623239a0e1e0de28258c12dcc4e0f2940ea3f Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Sat, 14 Feb 2026 14:55:27 +0000 Subject: [PATCH 4/4] chore(plotly): update quality score 92 and review feedback for bar-basic --- plots/bar-basic/implementations/plotly.py | 4 +- plots/bar-basic/metadata/plotly.yaml | 163 ++++++++++++---------- 2 files changed, 90 insertions(+), 77 deletions(-) diff --git a/plots/bar-basic/implementations/plotly.py b/plots/bar-basic/implementations/plotly.py index c4cf184152..443e6a8b99 100644 --- a/plots/bar-basic/implementations/plotly.py +++ b/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 diff --git a/plots/bar-basic/metadata/plotly.yaml b/plots/bar-basic/metadata/plotly.yaml index e06e10633e..eb18e60844 100644 --- a/plots/bar-basic/metadata/plotly.yaml +++ b/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 @@ -10,47 +10,52 @@ 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 @@ -58,64 +63,68 @@ review: 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 @@ -153,23 +164,23 @@ 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 @@ -177,46 +188,48 @@ review: 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).'