diff --git a/plots/timeseries-forecast-uncertainty/implementations/r/ggplot2.R b/plots/timeseries-forecast-uncertainty/implementations/r/ggplot2.R index b5fb2baf27..cacff9c2fb 100644 --- a/plots/timeseries-forecast-uncertainty/implementations/r/ggplot2.R +++ b/plots/timeseries-forecast-uncertainty/implementations/r/ggplot2.R @@ -1,7 +1,7 @@ #' anyplot.ai #' timeseries-forecast-uncertainty: Time Series Forecast with Uncertainty Band #' Library: ggplot2 3.5.1 | R 4.4.1 -#' Quality: 89/100 | Created: 2026-05-16 +#' Quality: 81/100 | Updated: 2026-05-19 library(ggplot2) library(dplyr) diff --git a/plots/timeseries-forecast-uncertainty/metadata/r/ggplot2.yaml b/plots/timeseries-forecast-uncertainty/metadata/r/ggplot2.yaml index b61eaa47bb..b31ef5a08a 100644 --- a/plots/timeseries-forecast-uncertainty/metadata/r/ggplot2.yaml +++ b/plots/timeseries-forecast-uncertainty/metadata/r/ggplot2.yaml @@ -2,9 +2,9 @@ library: ggplot2 language: r specification_id: timeseries-forecast-uncertainty created: '2026-05-16T22:38:27Z' -updated: '2026-05-16T22:47:38Z' -generated_by: claude-haiku -workflow_run: 25974776452 +updated: '2026-05-19T13:45:39Z' +generated_by: claude-sonnet +workflow_run: 26099521154 issue: 3188 language_version: 4.4.1 library_version: 3.5.1 @@ -12,114 +12,132 @@ preview_url_light: https://storage.googleapis.com/anyplot-images/plots/timeserie preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/timeseries-forecast-uncertainty/r/ggplot2/plot-dark.png preview_html_light: null preview_html_dark: null -quality_score: 89 +quality_score: 81 review: strengths: - - 'Correct palette usage: historical series is brand green (#009E73), forecast is - vermillion (#D55E00) per Okabe-Ito spec' - - 'Perfect theme adaptation: both light and dark renders are fully legible with - proper text colors and backgrounds' - - 'Clean confidence band visualization: nested ribbons with alpha transparency (0.15 - for 95%, 0.25 for 80%) clearly show uncertainty hierarchy' - - 'Strong data storytelling: dashed vertical line effectively marks the forecast - start, guiding viewer attention' - - 'Proper ggplot2 idioms: clean use of geom_ribbon(), scale_*_manual(), and theme - tokens throughout' - - 'All specification requirements met: historical line, forecast line, dual confidence - bands, transition marker, descriptive labels' + - 'Correct Okabe-Ito palette with #009E73 as first series (Historical) and #D55E00 + for forecast/CI bands' + - Elegant use of geom_ribbon() with nested alpha levels (0.15/0.25) communicates + 95%/80% CI bands clearly + - 'Clear visual narrative: green historical line → dashed vertical divider → dashed + orange forecast with CI bands' + - Both themes correctly adapt chrome (backgrounds, text, grid) using INK/INK_SOFT + theme tokens + - Proper ggsave with ragg device, ANYPLOT_THEME env var handling, correct output + filename pattern + - 'All required spec features present: solid historical line, dashed forecast, vertical + forecast-start marker, nested CI bands, legend' weaknesses: - - 'Unused library import: tidyr is loaded but never used—remove to clean up imports' - - 'Minor: could remove top/right spines for even cleaner minimalism (currently using - theme_minimal which leaves them subtle)' - - 'Legend positioning: top placement is fine, but consider horizontal layout optimization - for very long category names' + - 'Right-edge clipping: CI bands extend flush to canvas boundary with no right-side + padding — add scale_x_date(expand = expansion(mult = c(0.02, 0.05)))' + - 'CI band opacity inconsistency: alpha=0.15/0.25 looks subtle on light background + but heavy/saturated on dark (#1A1A17) — reduce to ~0.10/0.18' + - 'Code title missing ''· r ·'': line 75 reads ''timeseries-forecast-uncertainty + · ggplot2 · anyplot.ai'' — fix to ''timeseries-forecast-uncertainty · r · ggplot2 + · anyplot.ai''' + - 'Unused imports: library(dplyr) and library(tidyr) are loaded but never called + — remove both' + - 'Oversized font sizes: axis.title=20pt and axis.text=16pt are too large; reduce + to axis.title=12, axis.text=10, plot.title=14, legend.text=10' + - 'Y-axis label lacks units: ''Monthly Sales'' should be ''Monthly Sales ($)'' for + VQ-06 compliance' + - 'Constant CI width: forecast_std=2500 is fixed, so uncertainty bands don''t widen + over time as expected in real forecasts' image_description: |- Light render (plot-light.png): - Background: Warm off-white (#FAF8F1) providing excellent contrast - Chrome: Title "timeseries-forecast-uncertainty · ggplot2 · anyplot.ai" in dark ink at 24pt; "Date" and "Sales ($)" axis labels at 20pt; tick labels at 16pt—all clearly readable dark text on light surface - Data: Historical line in brand green (#009E73) showing 36-month sales trend with seasonal pattern; forecast line in orange (#D55E00) continuing 6 months; nested confidence bands in orange (darker 80% at α=0.25, lighter 95% at α=0.15); dashed separator line at forecast boundary; legend at top showing all four elements - Legibility verdict: PASS—all text crisp and dark, grid subtle, data colors vivid + Background: Warm off-white (#FAF8F1) — correct theme surface + Chrome: Title "timeseries-forecast-uncertainty · r · ggplot2 · anyplot.ai" in dark ink, ~70% plot width. Axis labels "Date" and "Monthly Sales" in dark ink (size=20pt, slightly oversized). Tick labels "$60K/$70K/$80K" and year labels in INK_SOFT (size=16pt). Legend at top: "95% CI", "80% CI", "Historical", "Forecast" — all readable. + Data: Historical line in #009E73 (brand green) from 2022–2024. Dashed forecast line in #D55E00 (vermillion). 95% CI band: very light orange (alpha=0.15). 80% CI band: medium orange (alpha=0.25). Dashed grey vertical line at ~Jan 2025 marking forecast start. CI bands extend to right canvas edge with no padding — minor clipping. + Legibility verdict: PASS (all text readable, minor axis label oversizing) Dark render (plot-dark.png): - Background: Warm near-black (#1A1A17) providing strong contrast with text - Chrome: Title, axis labels, and ticks rendered in light text (#F0EFE8 and #B8B7B0)—excellent readability on dark surface; no dark-on-dark text failures - Data: Historical and forecast lines are identical to light render (#009E73 and #D55E00), confirming only chrome changes between themes; confidence bands maintain identical orange tones with proper alpha layering; separator line equally visible - Legibility verdict: PASS—all text crisp and light, grid visible without competing with data, data colors identical to light render confirming proper theme implementation + Background: Near-black (#1A1A17) — correct dark theme surface, not pure black + Chrome: Title in light #F0EFE8 ink — clearly readable. Axis labels and tick labels in #B8B7B0 (INK_SOFT for dark) — all readable. No dark-on-dark failures. Legend entries readable in light text. + Data: Historical line #009E73 and forecast line #D55E00 are IDENTICAL to light render — only chrome flips. CI bands appear significantly more opaque/heavy on dark background (alpha=0.15/0.25 over #1A1A17 makes orange fills look bold rather than subtle). Same right-edge clipping of CI bands present. + Legibility verdict: PASS (all text readable), but CI band weight imbalance between themes is a design concern — the uncertainty bands dominate the forecast region in dark mode rather than reading as subtle shading. criteria_checklist: visual_quality: - score: 30 + score: 23 max: 30 items: - id: VQ-01 name: Text Legibility - score: 8 + score: 6 max: 8 passed: true - comment: All text explicitly sized and colored via theme tokens; readable - in both themes + comment: 'Font sizes explicitly set but oversized: axis.title=20pt, axis.text=16pt, + plot.title=24pt — recommend 12/10/14pt. All text readable in both themes.' - id: VQ-02 name: No Overlap score: 6 max: 6 passed: true - comment: Legend well-positioned at top, no text-data collisions + comment: No text/element collisions in either theme. - id: VQ-03 name: Element Visibility - score: 6 + score: 4 max: 6 passed: true - comment: Line thickness 1.2, ribbon alpha 0.15/0.25 clearly visible; all elements - well-adapted + comment: Historical and forecast lines clearly visible. CI bands visible but + clipped at right canvas edge with no padding — rightmost forecast uncertainty + region cut off. - id: VQ-04 name: Color Accessibility score: 2 max: 2 passed: true - comment: Okabe-Ito palette is CVD-safe; strong contrast between teal and orange + comment: Okabe-Ito positions 1 and 2 used; CVD-safe; distinct hue contrast + between historical (green) and forecast (orange). - id: VQ-05 name: Layout & Canvas - score: 4 + score: 2 max: 4 passed: true - comment: 16:9 landscape proportions correct; nothing cut off; generous margins + comment: Generally clean layout. Right-edge clipping of CI bands (no x-axis + expansion) is a notable layout issue. Canvas 4800x2700 (non-standard but + same 16:9 ratio). - id: VQ-06 name: Axis Labels & Title - score: 2 + score: 1 max: 2 passed: true - comment: Y-axis includes units ($); descriptive labels; title format correct + comment: Y-axis 'Monthly Sales' is descriptive but lacks explicit unit notation. + X-axis 'Date' is fine. - id: VQ-07 name: Palette Compliance score: 2 max: 2 passed: true - comment: 'First series #009E73, second #D55E00; backgrounds #FAF8F1/#1A1A17; - both renders theme-correct' + comment: 'First series #009E73, second #D55E00. Backgrounds #FAF8F1/#1A1A17. + INK/INK_SOFT tokens correctly applied. Data colors identical across themes.' design_excellence: - score: 14 + score: 12 max: 20 items: - id: DE-01 name: Aesthetic Sophistication - score: 6 + score: 4 max: 8 passed: true - comment: Professional design with intentional color choices; nested confidence - bands add visual sophistication + comment: Correct palette, intentional color hierarchy (green/orange), alpha-layered + CI bands. Above generic defaults but not publication-ready. CI band opacity + imbalance between themes detracts. - id: DE-02 name: Visual Refinement - score: 3 + score: 4 max: 6 - passed: false - comment: Good customization but could remove top/right spines and further - refine grid + passed: true + comment: theme_minimal removes spines; grid is subtle; legend background matches + plot. Good refinement. CI band weight inconsistency between themes is a + polish issue. - id: DE-03 name: Data Storytelling - score: 5 + score: 4 max: 6 passed: true - comment: Clear visual hierarchy; dashed line marks transition effectively; - color differentiation guides understanding + comment: 'Clear visual narrative: historical trend to forecast with uncertainty. + Vertical dashed line creates strong visual break. Color contrast guides + eye naturally. Above default data display.' spec_compliance: score: 15 max: 15 @@ -129,51 +147,55 @@ review: score: 5 max: 5 passed: true - comment: Time series with confidence bands—correct chart type + comment: Correct time series with historical/forecast split, nested CI bands, + forecast-start marker. - id: SC-02 name: Required Features score: 4 max: 4 passed: true - comment: Historical line, forecast line, 80% band, 95% band, transition marker - all present + comment: 'All spec features: solid historical line, dashed forecast, vertical + marker, 80%+95% CI bands, alpha fills, legend.' - id: SC-03 name: Data Mapping score: 3 max: 3 passed: true - comment: 'X: dates; Y: sales; axes show full data range appropriately' + comment: Date on x, sales on y. All series correctly mapped to respective + geoms. - id: SC-04 name: Title & Legend score: 3 max: 3 passed: true - comment: Title format correct; legend labels match spec requirements + comment: 'Rendered title correct: ''timeseries-forecast-uncertainty · r · + ggplot2 · anyplot.ai''. Legend labels correct. Note: source code title string + missing ''· r ·'' — fix for reproducibility.' data_quality: - score: 15 + score: 14 max: 15 items: - id: DQ-01 name: Feature Coverage - score: 6 + score: 5 max: 6 passed: true - comment: 'Covers all plot aspects: trend, forecast, dual CI bands, transition - marker' + comment: 'All chart elements present. Minor: CI width is constant (forecast_std=2500 + fixed) rather than widening over time as in real forecasts.' - id: DQ-02 name: Realistic Context score: 5 max: 5 passed: true - comment: Monthly sales data ($50k-$75k) is plausible; seasonal pattern realistic; - neutral narrative + comment: Monthly sales data, 3-year history + 6-month forecast, business scenario, + neutral topic. - id: DQ-03 name: Appropriate Scale score: 4 max: 4 passed: true - comment: 36-month history + 6-month forecast is standard; values sensible - for business context + comment: Sales $50K-$80K range, ~7% forecast uncertainty, 6-month horizon + — all realistic. code_quality: score: 9 max: 10 @@ -183,59 +205,64 @@ review: score: 3 max: 3 passed: true - comment: Straightforward single-plot script, no unnecessary abstractions + comment: 'Clean linear flow: tokens → data generation → plot → save. No functions + or classes.' - id: CQ-02 name: Reproducibility score: 2 max: 2 passed: true - comment: set.seed(42) ensures deterministic output + comment: set.seed(42) present. - id: CQ-03 name: Clean Imports score: 1 max: 2 passed: false - comment: tidyr imported but never used—should be removed + comment: library(dplyr) and library(tidyr) imported but not functionally used. + Code uses tibble::tibble() via namespace, all else is base R or ggplot2. - id: CQ-04 name: Code Elegance score: 2 max: 2 passed: true - comment: Appropriate complexity; elegant use of geom_ribbon(); proper manual - color scales + comment: Clean, idiomatic R/ggplot2. No over-engineering. - id: CQ-05 name: Output & API score: 1 max: 1 passed: true - comment: Saves plot-light.png and plot-dark.png with current ragg API + comment: ggsave with ragg device, plot-{THEME}.png filename, correct API. library_mastery: - score: 6 + score: 8 max: 10 items: - id: LM-01 name: Idiomatic Usage - score: 4 + score: 5 max: 5 passed: true - comment: Proper grammar of graphics; good use of aes(), geoms, scales, and - theme + comment: 'Excellent ggplot2 grammar: geom_ribbon() for CI bands, proper geom + layering, scale_color_manual()+scale_fill_manual() with named vectors and + breaks. Textbook ggplot2 usage.' - id: LM-02 name: Distinctive Features - score: 2 + score: 3 max: 5 - passed: false - comment: geom_ribbon() for confidence bands is good; theme tokens used; otherwise - somewhat standard approach + passed: true + comment: Good use of geom_ribbon() alpha layering (ggplot2-specific idiom) + and named-vector color scales with breaks ordering. Could use more ggplot2-specific + features like scale_x_date formatting or theme() composition patterns. verdict: APPROVED impl_tags: - dependencies: [] + dependencies: + - ragg techniques: - layer-composition + - custom-legend patterns: - data-generation dataprep: - time-series + - cumulative-sum styling: - alpha-blending - - publication-ready