feat(ggplot2): implement dashboard-metrics-tiles

[github-actions]

Implementation: dashboard-metrics-tiles - r/ggplot2

Implements the r/ggplot2 version of dashboard-metrics-tiles.

File: plots/dashboard-metrics-tiles/implementations/r/ggplot2.R

Parent Issue: #3791

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🤖 impl-generate workflow

[claude]

AI Review - Attempt 1/3

Image Description

Light render (plot-light.png): Six dashboard tiles arranged in a 3×2 grid on a warm off-white (#FAF8F1) background. Each tile has an elevated off-white (#FFFDF6) interior with a subtle border. KPI values are displayed prominently in bold at the top of each tile — five in brand green (#009E73) for good metrics (CPU Usage 45.2%, Response Time 118ms, Disk I/O 38.6%, Throughput 1,247 req/s, Error Rate 0.82%) and one in warning orange (#E69F00) for Memory (72.1%). Below each value is a directional change indicator with an arrow (green for favorable, vermillion for unfavorable changes). A compact sparkline with shaded area fill and a terminal dot occupies the middle of each tile. Metric names are displayed in soft ink (#4A4A44) at the bottom. The title "Server Health · dashboard-metrics-tiles · r · ggplot2 · anyplot.ai" is centered at the top in dark ink. All text is clearly readable against the light background.

Dark render (plot-dark.png): Same 3×2 tile grid on a warm near-black (#1A1A17) background with dark elevated panels (#242420). The title and all metric names are rendered in light ink, clearly readable against the dark background — no dark-on-dark failures observed. Data colors are identical to the light render: green (#009E73) for good metrics, orange (#E69F00) for Memory, vermillion for unfavorable change indicators. Minor observation: the Memory tile's area fill (alpha=0.15 of #E69F00 on the dark #242420 panel) renders as a slightly muddy brownish-gold fill compared to the clean golden tint in the light render, but the sparkline itself remains clearly orange. No text clipping at canvas edges in either render.

Both paragraphs are required. A review that only describes one render is invalid.

Score: 92/100

Category	Score	Max
Visual Quality	29	30
Design Excellence	15	20
Spec Compliance	15	15
Data Quality	14	15
Code Quality	10	10
Library Mastery	9	10
Total	92	100

Visual Quality (29/30)

• VQ-01: Text Legibility (7/8) — All font sizes explicitly set. All text readable in both themes. Minor: change indicator at size=3.2 is slightly small for mobile scaling.
• VQ-02: No Overlap (6/6) — KPI value, change indicator, sparkline, and metric name cleanly separated within each tile.
• VQ-03: Element Visibility (6/6) — Sparklines, terminal dots, area fills, and KPI values all optimally visible.
• VQ-04: Color Accessibility (2/2) — Okabe-Ito semantic coloring; green/orange/vermillion are CVD-safe with adequate contrast in both themes.
• VQ-05: Layout & Canvas (4/4) — Correct 3200×1800 canvas (8in×4.5in @ 400dpi). 3×2 grid fills canvas well with generous margins. No canvas gate failure.
• VQ-06: Axis Labels & Title (2/2) — Title has descriptive prefix "Server Health". Tile metric labels serve correctly as identifiers.
• VQ-07: Palette Compliance (2/2) — First/primary series is #009E73. Warning uses #E69F00 (pos 5). Critical/#D55E00 (pos 2) used for unfavorable change indicators. Backgrounds #FAF8F1/#1A1A17 are correct in both renders.

Design Excellence (15/20)

• DE-01: Aesthetic Sophistication (6/8) — Strong design with semantic status coloring, elevated card backgrounds, and intentional information hierarchy (large bold value → change indicator → sparkline → label). Clearly above configured defaults.
• DE-02: Visual Refinement (5/6) — Thorough refinement: grid removed, strip text suppressed, all axis elements hidden, custom panel borders (INK_SOFT, 0.4 linewidth), generous panel spacing. Minor: dark mode area fill for warning tile appears muddy (brownish-gold vs. golden in light mode).
• DE-03: Data Storytelling (4/6) — Good visual hierarchy: Memory's warning color immediately draws the eye to the problem metric. Change arrows + colors communicate trend direction. The combination of value+trend+change gives comprehensive metric context at a glance.

Spec Compliance (15/15)

• SC-01: Plot Type (5/5) — Correct dashboard tile layout with 6 tiles in 3×2 grid (spec-compliant for 6 tiles).
• SC-02: Required Features (4/4) — All required tile elements present: prominent value display, metric label, mini sparkline, change indicator with directional arrow. Status color coding implemented.
• SC-03: Data Mapping (3/3) — KPI values, sparklines, change percentages, and status colors all correctly mapped.
• SC-04: Title & Legend (3/3) — Title: "Server Health · dashboard-metrics-tiles · r · ggplot2 · anyplot.ai" — correct format with descriptive prefix.

Data Quality (14/15)

• DQ-01: Feature Coverage (5/6) — Shows varied metrics with different units (%, ms, req/s), favorable and unfavorable changes, good and warning statuses. Missing: no "critical" status tile to demonstrate all three status types.
• DQ-02: Realistic Context (5/5) — Real server health monitoring scenario with plausible values: CPU 45%, Memory 72%, Response Time 118ms, Throughput 1,247 req/s, Error Rate 0.82%.
• DQ-03: Appropriate Scale (4/4) — All values factually plausible for a web server health dashboard. Memory at 72% correctly triggers warning.

Code Quality (10/10)

• CQ-01: KISS Structure (3/3) — Clean linear structure: Imports → Theme tokens → Data → Sparklines → Annotations → Plot → Save. No functions or classes.
• CQ-02: Reproducibility (2/2) — set.seed(42) at the top.
• CQ-03: Clean Imports (2/2) — All four imports (ggplot2, dplyr, scales, ragg) are actually used.
• CQ-04: Code Elegance (2/2) — Clean, idiomatic R. No over-engineering, no fake interactivity. lapply + do.call pattern appropriate for sparkline generation.
• CQ-05: Output & API (1/1) — Saves as plot-{THEME}.png via ragg::agg_png. Uses modern linewidth= (not deprecated size= for lines).

Library Mastery (9/10)

• LM-01: Idiomatic Usage (5/5) — Expert use of ggplot2 grammar: multiple geom layers composited within facets, scale_color_identity/scale_fill_identity for pre-computed colors, theme() layered on theme_minimal(). R pipe (|>) used idiomatically for sparkline normalization.
• LM-02: Distinctive Features (4/5) — Creative use of facet_wrap as a dashboard tile grid is a distinctive ggplot2 pattern. Panel-level theming with ELEVATED_BG and custom border styling to create card-like tiles leverages ggplot2's panel system in a non-obvious way.

Score Caps Applied

• None

Strengths

• Innovative use of facet_wrap as a dashboard tile grid — idiomatic and visually clean ggplot2 approach
• Semantic Okabe-Ito colors: #009E73 (good), #E69F00 (warning), #D55E00 (critical/unfavorable change) — compliant and meaningful
• All tile elements present: large bold KPI value, directional arrow with change %, compact sparkline with area fill and terminal dot, metric name
• Theme-adaptive chrome fully implemented — PAGE_BG, ELEVATED_BG, INK, INK_SOFT all flip correctly between renders
• Elevated panel background creates professional card appearance distinct from outer page surface
• Clean, reproducible R code with proper modern ggplot2 API usage

Weaknesses

• No "critical" status tile in example data — add at least one critical tile (e.g. set Error Rate status to "critical") to demonstrate all three status colors from the spec
• Change indicator text (size=3.2) is slightly small — increase to ~3.8–4.0 for better mobile readability
• Memory tile area fill in dark render appears brownish/muddy — alpha=0.15 of #E69F00 on dark #242420 desaturates to khaki; increase alpha to ~0.25 or adjust to keep the fill recognizably orange in dark mode

Issues Found

1. DQ-01 MINOR: No "critical" status demonstrated in example data — spec mentions critical as a valid status
   • Fix: Change one metric's status to "critical" (e.g. statuses <- c("good", "warning", "good", "good", "good", "critical")) and adjust its value/changes accordingly
2. DE-02 MINOR: Warning tile area fill looks muddy in dark mode
   • Fix: Increase the area alpha from 0.15 to ~0.25 in dark mode, or apply a conditional alpha based on THEME

AI Feedback for Next Attempt

Strong implementation overall. Focus on three minor improvements: (1) add a critical-status tile to demonstrate all three spec status colors; (2) increase change indicator text size to ~3.8–4.0; (3) improve the dark-mode area fill for warning-colored tiles by increasing alpha or adjusting the fill approach.

Verdict: APPROVED