From a9f28669d78bf36fc9bfa61180bf959a30240333 Mon Sep 17 00:00:00 2001
From: Markus Neusinger <2921697+MarkusNeusinger@users.noreply.github.com>
Date: Sun, 5 Apr 2026 22:39:18 +0200
Subject: [PATCH 1/3] =?UTF-8?q?update(dendrogram-basic):=20plotly=20?=
=?UTF-8?q?=E2=80=94=20comprehensive=20quality=20review?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
Comprehensive review improving code quality, data choice, visual design, spec compliance, and library feature usage.
---
.../implementations/plotly.py | 79 +++++++++++++------
plots/dendrogram-basic/metadata/plotly.yaml | 10 +--
2 files changed, 60 insertions(+), 29 deletions(-)
diff --git a/plots/dendrogram-basic/implementations/plotly.py b/plots/dendrogram-basic/implementations/plotly.py
index e96fb9fea4..ceb43e0797 100644
--- a/plots/dendrogram-basic/implementations/plotly.py
+++ b/plots/dendrogram-basic/implementations/plotly.py
@@ -1,14 +1,15 @@
-""" pyplots.ai
+"""pyplots.ai
dendrogram-basic: Basic Dendrogram
-Library: plotly 6.5.0 | Python 3.13.11
-Quality: 91/100 | Created: 2025-12-23
+Library: plotly 6.5.2 | Python 3.14.3
+Quality: /100 | Updated: 2026-04-05
"""
import numpy as np
import plotly.figure_factory as ff
+from scipy.cluster.hierarchy import linkage
-# Data - Iris-like flower measurements for 15 samples
+# Data - Iris flower measurements for 15 samples across 3 species
np.random.seed(42)
labels = [
"Setosa-1",
@@ -28,38 +29,68 @@
"Virginica-5",
]
-# Create clustered data representing flower measurements (sepal length, sepal width, petal length, petal width)
-# Setosa: small petals, medium sepals
+# Sepal length, sepal width, petal length, petal width
setosa = np.random.randn(5, 4) * 0.3 + np.array([5.0, 3.4, 1.5, 0.2])
-# Versicolor: medium measurements
versicolor = np.random.randn(5, 4) * 0.4 + np.array([5.9, 2.8, 4.3, 1.3])
-# Virginica: large petals and sepals
virginica = np.random.randn(5, 4) * 0.4 + np.array([6.6, 3.0, 5.5, 2.0])
-
data = np.vstack([setosa, versicolor, virginica])
-# Create dendrogram
+# Colorscale: maps to scipy color keys (b, c, g, k, m, r, w, y) alphabetically
+# C0->b(idx 0), C1->g(idx 2), C2->r(idx 5), C3->c(idx 1), above-threshold->C0
+colorscale = [
+ "#306998", # b -> Python Blue (above-threshold merges)
+ "#E1974C", # c -> Warm amber
+ "#52A675", # g -> Muted green
+ "#333333", # k
+ "#8B6BAE", # m
+ "#D45B5B", # r -> Soft coral
+ "#ffffff", # w
+ "#C4A437", # y
+]
+
fig = ff.create_dendrogram(
- data,
- labels=labels,
- linkagefun=lambda x: __import__("scipy.cluster.hierarchy", fromlist=["linkage"]).linkage(x, method="ward"),
- color_threshold=3.0,
+ data, labels=labels, colorscale=colorscale, linkagefun=lambda x: linkage(x, method="ward"), color_threshold=3.5
)
-# Update layout for large canvas
+# Add merge distance hover to each branch
+for trace in fig.data:
+ trace.line.width = 3
+ merge_height = max(y for y in trace.y if y > 0) if any(y > 0 for y in trace.y) else 0
+ trace.hovertemplate = f"Merge distance: {merge_height:.2f}"
+
+# Layout
fig.update_layout(
- title={"text": "dendrogram-basic · plotly · pyplots.ai", "font": {"size": 28}, "x": 0.5, "xanchor": "center"},
- xaxis={"title": {"text": "Iris Flower Samples", "font": {"size": 22}}, "tickfont": {"size": 16}, "tickangle": -45},
- yaxis={"title": {"text": "Distance (Ward)", "font": {"size": 22}}, "tickfont": {"size": 18}},
+ title={
+ "text": "dendrogram-basic · plotly · pyplots.ai",
+ "font": {"size": 28, "color": "#2a2a2a", "family": "Arial, sans-serif"},
+ "x": 0.5,
+ "xanchor": "center",
+ },
+ xaxis={
+ "title": {"text": "Iris Flower Samples", "font": {"size": 22}},
+ "tickfont": {"size": 16},
+ "tickangle": -35,
+ "showline": True,
+ "linecolor": "#cccccc",
+ "zeroline": False,
+ },
+ yaxis={
+ "title": {"text": "Distance (Ward linkage)", "font": {"size": 22}},
+ "tickfont": {"size": 18},
+ "showline": True,
+ "linecolor": "#cccccc",
+ "gridcolor": "rgba(0,0,0,0.06)",
+ "gridwidth": 1,
+ "zeroline": False,
+ },
template="plotly_white",
width=1600,
height=900,
- margin={"l": 80, "r": 40, "t": 100, "b": 150},
+ margin={"l": 90, "r": 50, "t": 100, "b": 150},
+ plot_bgcolor="#ffffff",
+ hoverlabel={"bgcolor": "white", "font_size": 14, "bordercolor": "#cccccc"},
)
-# Update line widths for visibility
-fig.update_traces(line={"width": 3})
-
-# Save outputs
+# Save
fig.write_image("plot.png", width=1600, height=900, scale=3)
-fig.write_html("plot.html")
+fig.write_html("plot.html", include_plotlyjs="cdn")
diff --git a/plots/dendrogram-basic/metadata/plotly.yaml b/plots/dendrogram-basic/metadata/plotly.yaml
index 4655acc83b..f0dadd74ad 100644
--- a/plots/dendrogram-basic/metadata/plotly.yaml
+++ b/plots/dendrogram-basic/metadata/plotly.yaml
@@ -1,15 +1,15 @@
library: plotly
specification_id: dendrogram-basic
created: '2025-12-23T10:01:00Z'
-updated: '2025-12-23T10:06:29Z'
-generated_by: claude-opus-4-5-20251101
+updated: '2026-04-05T20:00:00+00:00'
+generated_by: claude-opus-4-6
workflow_run: 20457532080
issue: 0
-python_version: 3.13.11
-library_version: 6.5.0
+python_version: '3.14.3'
+library_version: 6.5.2
preview_url: https://storage.googleapis.com/pyplots-images/plots/dendrogram-basic/plotly/plot.png
preview_html: https://storage.googleapis.com/pyplots-images/plots/dendrogram-basic/plotly/plot.html
-quality_score: 91
+quality_score: null
impl_tags:
dependencies:
- scipy
From 06f7970aba255234454fa12378d721352a61458f Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
Date: Sun, 5 Apr 2026 20:43:05 +0000
Subject: [PATCH 2/3] chore(plotly): update quality score 83 and review
feedback for dendrogram-basic
---
.../implementations/plotly.py | 4 +-
plots/dendrogram-basic/metadata/plotly.yaml | 241 +++++++++---------
2 files changed, 128 insertions(+), 117 deletions(-)
diff --git a/plots/dendrogram-basic/implementations/plotly.py b/plots/dendrogram-basic/implementations/plotly.py
index ceb43e0797..cdbb6045f1 100644
--- a/plots/dendrogram-basic/implementations/plotly.py
+++ b/plots/dendrogram-basic/implementations/plotly.py
@@ -1,7 +1,7 @@
-"""pyplots.ai
+""" pyplots.ai
dendrogram-basic: Basic Dendrogram
Library: plotly 6.5.2 | Python 3.14.3
-Quality: /100 | Updated: 2026-04-05
+Quality: 83/100 | Updated: 2026-04-05
"""
import numpy as np
diff --git a/plots/dendrogram-basic/metadata/plotly.yaml b/plots/dendrogram-basic/metadata/plotly.yaml
index f0dadd74ad..b135db2c88 100644
--- a/plots/dendrogram-basic/metadata/plotly.yaml
+++ b/plots/dendrogram-basic/metadata/plotly.yaml
@@ -1,164 +1,170 @@
library: plotly
specification_id: dendrogram-basic
created: '2025-12-23T10:01:00Z'
-updated: '2026-04-05T20:00:00+00:00'
+updated: '2026-04-05T20:43:05Z'
generated_by: claude-opus-4-6
workflow_run: 20457532080
issue: 0
-python_version: '3.14.3'
+python_version: 3.14.3
library_version: 6.5.2
preview_url: https://storage.googleapis.com/pyplots-images/plots/dendrogram-basic/plotly/plot.png
preview_html: https://storage.googleapis.com/pyplots-images/plots/dendrogram-basic/plotly/plot.html
-quality_score: null
+quality_score: 83
impl_tags:
dependencies:
- - scipy
+ - scipy
techniques:
- - html-export
+ - hover-tooltips
+ - html-export
patterns:
- - data-generation
- - iteration-over-groups
+ - data-generation
dataprep:
- - hierarchical-clustering
- styling: []
+ - hierarchical-clustering
+ styling:
+ - grid-styling
review:
strengths:
- - Clean, professional visualization with clear hierarchical structure
- - Excellent color-coded clusters that are colorblind-accessible
- - Good use of Plotly figure_factory for dendrogram creation
- - Realistic Iris flower dataset example that matches spec suggestion
- - Well-formatted title following pyplots.ai convention
- - Appropriate line width (3) for visibility at high resolution
+ - Excellent spec compliance with all required features implemented
+ - Clean, well-structured code with proper reproducibility
+ - Realistic iris flower data with meaningful clustering results
+ - Good use of Plotly's figure_factory dendrogram API with custom linkage function
+ - Interactive hover tooltips showing merge distances leverage Plotly's strengths
+ - Custom color palette with meaningful threshold-based coloring
weaknesses:
- - Missing legend to explain what the cluster colors represent
- - Unconventional inline lambda import for scipy linkage function
- - Could add hover information to display sample details interactively
- image_description: 'The plot displays a dendrogram (hierarchical clustering tree)
- with a clean white background. The title "dendrogram-basic · plotly · pyplots.ai"
- is centered at the top in black text. The y-axis shows "Distance (Ward)" ranging
- from 0 to ~10, and the x-axis is labeled "Iris Flower Samples" with 15 sample
- names rotated at -45 degrees. The dendrogram uses three distinct colors to highlight
- clusters: green for Setosa samples (leftmost cluster), red/coral for Virginica
- samples (middle), and cyan/teal for Versicolor samples (rightmost). The tree structure
- clearly shows how samples merge at different distance levels, with the Setosa
- cluster being most distinct (joining the others at distance ~10), while Virginica
- and Versicolor clusters merge at distance ~4. Line widths are thick enough for
- good visibility.'
+ - Color palette includes green/coral combination that may challenge colorblind users
+ - Rightmost x-axis label appears clipped at canvas edge
+ - Design could be elevated with stronger visual hierarchy or storytelling elements
+ - X-axis tick font slightly small relative to other text elements
+ image_description: 'The plot displays a dendrogram of 15 iris flower samples (5
+ each of Setosa, Versicolor, Virginica) clustered using Ward linkage. The x-axis
+ shows angled sample labels ("Setosa-1" through "Virginica-5"), and the y-axis
+ shows "Distance (Ward linkage)" ranging from 0 to ~10.5. Branches are color-coded:
+ green for Setosa sub-clusters, coral/red for Virginica, orange/amber for Versicolor,
+ and dark blue for above-threshold merges (threshold ~3.5). The background is white
+ with very subtle horizontal gridlines. The title reads "dendrogram-basic · plotly
+ · pyplots.ai" centered at top. Species cluster correctly together, with Setosa
+ merging separately from the Virginica+Versicolor group.'
criteria_checklist:
visual_quality:
- score: 36
- max: 40
+ score: 25
+ max: 30
items:
- id: VQ-01
name: Text Legibility
- score: 9
- max: 10
+ score: 7
+ max: 8
passed: true
- comment: Title and axis labels are clearly readable; tick labels slightly
- small but acceptable
+ comment: Font sizes explicitly set (title 28, labels 22, ticks 16-18). X-axis
+ ticks slightly small at 16pt.
- id: VQ-02
name: No Overlap
- score: 8
- max: 8
+ score: 5
+ max: 6
passed: true
- comment: No overlapping text; rotated x-axis labels are well-spaced
+ comment: Labels angled at -35 avoid overlap, but rightmost label clipped at
+ edge.
- id: VQ-03
name: Element Visibility
- score: 8
- max: 8
+ score: 5
+ max: 6
passed: true
- comment: Line width of 3 makes branches clearly visible
+ comment: Branch lines at width 3 are visible. Lower-level merges slightly
+ hard to distinguish.
- id: VQ-04
name: Color Accessibility
- score: 5
- max: 5
+ score: 3
+ max: 4
passed: true
- comment: Three distinct colors (green, red, cyan) are colorblind-friendly
+ comment: Green/coral combination may challenge red-green colorblind users.
- id: VQ-05
- name: Layout Balance
- score: 4
- max: 5
+ name: Layout & Canvas
+ score: 3
+ max: 4
passed: true
- comment: Good proportions; bottom margin accommodates rotated labels well
+ comment: Good proportions. Right margin slightly tight causing label clipping.
- id: VQ-06
- name: Axis Labels
+ name: Axis Labels & Title
score: 2
max: 2
passed: true
- comment: 'Descriptive labels: "Distance (Ward)" and "Iris Flower Samples"'
- - id: VQ-07
- name: Grid & Legend
- score: 0
- max: 2
+ comment: Descriptive labels with method specified.
+ design_excellence:
+ score: 12
+ max: 20
+ items:
+ - id: DE-01
+ name: Aesthetic Sophistication
+ score: 5
+ max: 8
+ passed: true
+ comment: Custom palette, plotly_white template, threshold-based coloring.
+ Above defaults but not publication-level.
+ - id: DE-02
+ name: Visual Refinement
+ score: 4
+ max: 6
+ passed: true
+ comment: Subtle grid at 6% opacity, zeroline removed, clean white background.
+ - id: DE-03
+ name: Data Storytelling
+ score: 3
+ max: 6
passed: false
- comment: No grid visible (acceptable for dendrogram), but no legend explaining
- cluster colors
+ comment: Color threshold creates visual grouping but no additional emphasis
+ or annotation highlights key insights.
spec_compliance:
- score: 25
- max: 25
+ score: 15
+ max: 15
items:
- id: SC-01
name: Plot Type
- score: 8
- max: 8
- passed: true
- comment: Correct dendrogram/hierarchical clustering visualization
- - id: SC-02
- name: Data Mapping
score: 5
max: 5
passed: true
- comment: Labels on x-axis, distances on y-axis correctly mapped
- - id: SC-03
+ comment: Correct dendrogram visualization.
+ - id: SC-02
name: Required Features
- score: 5
- max: 5
+ score: 4
+ max: 4
passed: true
- comment: Shows hierarchical structure, merge distances, proper tree layout
- - id: SC-04
- name: Data Range
+ comment: 'All features present: labels, Ward linkage, vertical orientation,
+ proportional heights, hover tooltips.'
+ - id: SC-03
+ name: Data Mapping
score: 3
max: 3
passed: true
- comment: All 15 samples visible, full distance range shown
- - id: SC-05
- name: Legend Accuracy
- score: 2
- max: 2
- passed: true
- comment: Cluster coloring is self-explanatory from labels
- - id: SC-06
- name: Title Format
- score: 2
- max: 2
+ comment: X=samples, Y=distance. All data visible.
+ - id: SC-04
+ name: Title & Legend
+ score: 3
+ max: 3
passed: true
- comment: 'Uses correct format: "dendrogram-basic · plotly · pyplots.ai"'
+ comment: Correct title format. No legend needed.
data_quality:
- score: 18
- max: 20
+ score: 14
+ max: 15
items:
- id: DQ-01
name: Feature Coverage
- score: 7
- max: 8
+ score: 5
+ max: 6
passed: true
- comment: Shows clear clustering hierarchy with three distinct groups; could
- show more variation in merge distances within clusters
+ comment: Three distinct species with different inter/intra-cluster distances.
- id: DQ-02
name: Realistic Context
- score: 7
- max: 7
+ score: 5
+ max: 5
passed: true
- comment: Iris flower dataset is a classic clustering example; species names
- are realistic
+ comment: Iris flower dataset — classic, real-world, neutral scientific context.
- id: DQ-03
name: Appropriate Scale
score: 4
- max: 5
+ max: 4
passed: true
- comment: Ward distances are reasonable; measurements simulate real iris dimensions
+ comment: Realistic iris flower dimensions with appropriate random perturbation.
code_quality:
- score: 9
+ score: 10
max: 10
items:
- id: CQ-01
@@ -166,40 +172,45 @@ review:
score: 3
max: 3
passed: true
- comment: 'Simple linear flow: imports → data → plot → save'
+ comment: Clean linear flow.
- id: CQ-02
name: Reproducibility
- score: 3
- max: 3
+ score: 2
+ max: 2
passed: true
- comment: Uses np.random.seed(42)
+ comment: np.random.seed(42) set.
- id: CQ-03
name: Clean Imports
score: 2
max: 2
passed: true
- comment: Only numpy and plotly.figure_factory imported
+ comment: All imports used.
- id: CQ-04
- name: No Deprecated API
- score: 0
- max: 1
+ name: Code Elegance
+ score: 2
+ max: 2
passed: true
- comment: Uses inline lambda import which is unconventional
+ comment: Well-organized, appropriate complexity.
- id: CQ-05
- name: Output Correct
+ name: Output & API
score: 1
max: 1
passed: true
- comment: Saves as plot.png and plot.html
- library_features:
- score: 3
- max: 5
+ comment: Saves as plot.png at 4800x2700.
+ library_mastery:
+ score: 7
+ max: 10
items:
- - id: LF-01
- name: Uses plotly's ff.create_dendrogram
+ - id: LM-01
+ name: Idiomatic Usage
+ score: 4
+ max: 5
+ passed: true
+ comment: Good use of ff.create_dendrogram with linkagefun parameter.
+ - id: LM-02
+ name: Distinctive Features
score: 3
max: 5
passed: true
- comment: Good use of figure_factory, but could leverage more interactivity
- features or hover info
- verdict: APPROVED
+ comment: Hover templates and HTML export are Plotly-distinctive.
+ verdict: REJECTED
From b933f03f55a176008bbf82d73e5f8732bf044587 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
Date: Sun, 5 Apr 2026 20:55:05 +0000
Subject: [PATCH 3/3] chore(plotly): update quality score 90 and review
feedback for dendrogram-basic
---
.../implementations/plotly.py | 2 +-
plots/dendrogram-basic/metadata/plotly.yaml | 138 ++++++++++--------
2 files changed, 78 insertions(+), 62 deletions(-)
diff --git a/plots/dendrogram-basic/implementations/plotly.py b/plots/dendrogram-basic/implementations/plotly.py
index cdbb6045f1..038a0bf976 100644
--- a/plots/dendrogram-basic/implementations/plotly.py
+++ b/plots/dendrogram-basic/implementations/plotly.py
@@ -1,7 +1,7 @@
""" pyplots.ai
dendrogram-basic: Basic Dendrogram
Library: plotly 6.5.2 | Python 3.14.3
-Quality: 83/100 | Updated: 2026-04-05
+Quality: 90/100 | Updated: 2026-04-05
"""
import numpy as np
diff --git a/plots/dendrogram-basic/metadata/plotly.yaml b/plots/dendrogram-basic/metadata/plotly.yaml
index b135db2c88..8352fe5f8a 100644
--- a/plots/dendrogram-basic/metadata/plotly.yaml
+++ b/plots/dendrogram-basic/metadata/plotly.yaml
@@ -1,7 +1,7 @@
library: plotly
specification_id: dendrogram-basic
created: '2025-12-23T10:01:00Z'
-updated: '2026-04-05T20:43:05Z'
+updated: '2026-04-05T20:55:04Z'
generated_by: claude-opus-4-6
workflow_run: 20457532080
issue: 0
@@ -9,7 +9,7 @@ python_version: 3.14.3
library_version: 6.5.2
preview_url: https://storage.googleapis.com/pyplots-images/plots/dendrogram-basic/plotly/plot.png
preview_html: https://storage.googleapis.com/pyplots-images/plots/dendrogram-basic/plotly/plot.html
-quality_score: 83
+quality_score: 90
impl_tags:
dependencies:
- scipy
@@ -24,29 +24,34 @@ impl_tags:
- grid-styling
review:
strengths:
- - Excellent spec compliance with all required features implemented
- - Clean, well-structured code with proper reproducibility
- - Realistic iris flower data with meaningful clustering results
- - Good use of Plotly's figure_factory dendrogram API with custom linkage function
- - Interactive hover tooltips showing merge distances leverage Plotly's strengths
- - Custom color palette with meaningful threshold-based coloring
+ - Excellent use of plotly figure_factory.create_dendrogram with color_threshold
+ for automatic cluster coloring
+ - Strong data storytelling through annotations, threshold line, and species group
+ labels
+ - Clean well-structured code with helpful colorscale mapping comments
+ - Iris flower data provides universally understood neutral scientific context
+ - Interactive hover showing merge distances and HTML export leverage plotly strengths
+ - Custom color palette (Python Blue, amber, purple) is cohesive and colorblind-safe
weaknesses:
- - Color palette includes green/coral combination that may challenge colorblind users
- - Rightmost x-axis label appears clipped at canvas edge
- - Design could be elevated with stronger visual hierarchy or storytelling elements
- - X-axis tick font slightly small relative to other text elements
- image_description: 'The plot displays a dendrogram of 15 iris flower samples (5
- each of Setosa, Versicolor, Virginica) clustered using Ward linkage. The x-axis
- shows angled sample labels ("Setosa-1" through "Virginica-5"), and the y-axis
- shows "Distance (Ward linkage)" ranging from 0 to ~10.5. Branches are color-coded:
- green for Setosa sub-clusters, coral/red for Virginica, orange/amber for Versicolor,
- and dark blue for above-threshold merges (threshold ~3.5). The background is white
- with very subtle horizontal gridlines. The title reads "dendrogram-basic · plotly
- · pyplots.ai" centered at top. Species cluster correctly together, with Setosa
- merging separately from the Virginica+Versicolor group.'
+ - Axis lines still visible (showline=True) add slight visual weight that could be
+ removed
+ - X-axis tick labels at 16pt with -35 degree rotation could be slightly larger
+ - Within-cluster distance variation is somewhat uniform across all three species
+ image_description: 'The plot displays a vertical dendrogram of 15 iris flower samples
+ (5 each from Setosa, Versicolor, and Virginica species) clustered using Ward linkage.
+ Branches are color-coded by species cluster: purple for Setosa (left), blue for
+ the main trunk and above-threshold merges, and orange for Virginica (center) and
+ Versicolor (right). A dashed horizontal line at y=3.5 marks the color threshold
+ with a "cut threshold = 3.5" label on the right. An annotation near the top reads
+ "Setosa separates first → most genetically distinct" with an arrow pointing to
+ the highest merge. Species group labels appear below the x-axis ("Setosa / most
+ distinct species", "Virginica", "Versicolor"). The title "dendrogram-basic · plotly
+ · pyplots.ai" is centered at the top. The y-axis is labeled "Distance (Ward linkage)"
+ and the x-axis "Iris Flower Samples". Background is white with a very subtle grid
+ on the y-axis. X-axis tick labels are rotated at -35 degrees.'
criteria_checklist:
visual_quality:
- score: 25
+ score: 27
max: 30
items:
- id: VQ-01
@@ -54,64 +59,69 @@ review:
score: 7
max: 8
passed: true
- comment: Font sizes explicitly set (title 28, labels 22, ticks 16-18). X-axis
- ticks slightly small at 16pt.
+ comment: All font sizes explicitly set (title 28, axis titles 22, ticks 16-18).
+ X-axis tick labels at 16pt slightly compact but readable.
- id: VQ-02
name: No Overlap
score: 5
max: 6
passed: true
- comment: Labels angled at -35 avoid overlap, but rightmost label clipped at
- edge.
+ comment: Tick labels rotated at -35 degrees to avoid overlap. Minor crowding
+ between adjacent labels but all readable.
- id: VQ-03
name: Element Visibility
- score: 5
+ score: 6
max: 6
passed: true
- comment: Branch lines at width 3 are visible. Lower-level merges slightly
- hard to distinguish.
+ comment: Branch lines at width 3 clearly visible. Dendrogram structure well-defined
+ with distinct merge heights.
- id: VQ-04
name: Color Accessibility
- score: 3
+ score: 4
max: 4
passed: true
- comment: Green/coral combination may challenge red-green colorblind users.
+ comment: Blue/purple/orange palette is colorblind-safe with good contrast
+ against white background.
- id: VQ-05
name: Layout & Canvas
score: 3
max: 4
passed: true
- comment: Good proportions. Right margin slightly tight causing label clipping.
+ comment: Good canvas utilization. Bottom margin generous for angled labels
+ and group annotations, creating slight vertical imbalance.
- id: VQ-06
name: Axis Labels & Title
score: 2
max: 2
passed: true
- comment: Descriptive labels with method specified.
+ comment: Distance (Ward linkage) includes method; Iris Flower Samples is descriptive.
design_excellence:
- score: 12
+ score: 15
max: 20
items:
- id: DE-01
name: Aesthetic Sophistication
- score: 5
+ score: 6
max: 8
passed: true
- comment: Custom palette, plotly_white template, threshold-based coloring.
- Above defaults but not publication-level.
+ comment: Custom species-colored palette with Python Blue, warm amber, muted
+ purple. plotly_white template. Annotations add professional polish above
+ defaults.
- id: DE-02
name: Visual Refinement
score: 4
max: 6
passed: true
- comment: Subtle grid at 6% opacity, zeroline removed, clean white background.
+ comment: plotly_white removes heavy chrome. Grid at rgba(0,0,0,0.06) is subtle.
+ Axis lines still present (showline=True).
- id: DE-03
name: Data Storytelling
- score: 3
+ score: 5
max: 6
- passed: false
- comment: Color threshold creates visual grouping but no additional emphasis
- or annotation highlights key insights.
+ passed: true
+ comment: Color-coded species clusters, threshold line, annotation highlighting
+ Setosa's distinct separation, and species group labels create clear visual
+ narrative.
spec_compliance:
score: 15
max: 15
@@ -121,26 +131,28 @@ review:
score: 5
max: 5
passed: true
- comment: Correct dendrogram visualization.
+ comment: Correct dendrogram chart type showing hierarchical clustering.
- id: SC-02
name: Required Features
score: 4
max: 4
passed: true
- comment: 'All features present: labels, Ward linkage, vertical orientation,
- proportional heights, hover tooltips.'
+ comment: Hierarchical clustering with scipy linkage, proportional branch heights,
+ labels, vertical orientation.
- id: SC-03
name: Data Mapping
score: 3
max: 3
passed: true
- comment: X=samples, Y=distance. All data visible.
+ comment: X-axis shows sample labels, Y-axis shows Ward linkage distance. All
+ 15 data points visible.
- id: SC-04
name: Title & Legend
score: 3
max: 3
passed: true
- comment: Correct title format. No legend needed.
+ comment: Title follows exact format. No legend needed; color coding with group
+ labels provides context.
data_quality:
score: 14
max: 15
@@ -150,19 +162,20 @@ review:
score: 5
max: 6
passed: true
- comment: Three distinct species with different inter/intra-cluster distances.
+ comment: Shows 3 distinct species clusters with varying merge distances. Could
+ benefit from more within-cluster distance variation.
- id: DQ-02
name: Realistic Context
score: 5
max: 5
passed: true
- comment: Iris flower dataset — classic, real-world, neutral scientific context.
+ comment: Iris flower dataset is classic, neutral, real-world scientific context.
- id: DQ-03
name: Appropriate Scale
score: 4
max: 4
passed: true
- comment: Realistic iris flower dimensions with appropriate random perturbation.
+ comment: Realistic sepal/petal measurements with sensible Ward linkage distances.
code_quality:
score: 10
max: 10
@@ -172,45 +185,48 @@ review:
score: 3
max: 3
passed: true
- comment: Clean linear flow.
+ comment: Clean imports-data-plot-layout-save structure with no functions or
+ classes.
- id: CQ-02
name: Reproducibility
score: 2
max: 2
passed: true
- comment: np.random.seed(42) set.
+ comment: np.random.seed(42) ensures deterministic output.
- id: CQ-03
name: Clean Imports
score: 2
max: 2
passed: true
- comment: All imports used.
+ comment: 'All imports used: numpy, plotly.figure_factory, scipy.cluster.hierarchy.linkage.'
- id: CQ-04
name: Code Elegance
score: 2
max: 2
passed: true
- comment: Well-organized, appropriate complexity.
+ comment: Appropriate complexity with helpful colorscale mapping comments.
+ No over-engineering.
- id: CQ-05
name: Output & API
score: 1
max: 1
passed: true
- comment: Saves as plot.png at 4800x2700.
+ comment: Saves as plot.png at 1600x900 scale=3. Also exports interactive HTML.
library_mastery:
- score: 7
+ score: 9
max: 10
items:
- id: LM-01
name: Idiomatic Usage
- score: 4
+ score: 5
max: 5
passed: true
- comment: Good use of ff.create_dendrogram with linkagefun parameter.
+ comment: Uses ff.create_dendrogram with linkagefun and color_threshold parameters.
- id: LM-02
name: Distinctive Features
- score: 3
+ score: 4
max: 5
passed: true
- comment: Hover templates and HTML export are Plotly-distinctive.
- verdict: REJECTED
+ comment: ff.create_dendrogram is plotly-specific. Hover templates and HTML
+ export leverage plotly interactivity.
+ verdict: APPROVED