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- Excellent real-world scenario using the 2008-2009 recession as the highlighted
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period
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- Clean visual design with appropriate use of semi-transparent fill (alpha=0.25)
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- Well-labeled span with annotation text positioned inside the highlighted region
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- Proper title format following pyplots.ai conventions
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- Good use of ggplot grammar with geom_rect, geom_line, and geom_text layering
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- Compelling, real-world recession scenario that immediately communicates the purpose
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of span plots
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- All font sizes explicitly set at correct values for the large-canvas target resolution
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- geom_rect() with alpha=0.25 is the idiomatic lets-plot approach; alpha is within
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the spec-required 0.2-0.3 range
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- In-span annotation and legend together provide layered context for the highlighted
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region
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- Reproducible with np.random.seed(42) and clean linear code structure
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- HTML export leverages a distinctive lets-plot capability
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weaknesses:
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- Axis label for y-axis lacks units (could be "Economic Index (points)" or similar)
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- Legend title "Highlighted Region" is redundant since it only shows one category
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- Does not demonstrate horizontal span variant mentioned in spec (vertical only)
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image_description: The plot displays a line chart showing an "Economic Index" over
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time from 2006 to 2011. A semi-transparent yellow/gold vertical span highlights
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the "Recession 2008-2009" period, clearly labeled at the top of the highlighted
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region. The line is rendered in Python blue (#306998) with both line segments
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and circular markers at each data point. The data shows a decline from ~105 in
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2006, bottoming out around 74 during the recession, then recovering to ~119 by
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late 2011. The title "span-basic · letsplot · pyplots.ai" appears at the top.
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Axis labels show "Year" on x-axis and "Economic Index" on y-axis. A legend on
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the right identifies the yellow region as "Highlighted Region - Recession Period".
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The overall layout is clean with a light gray background and subtle grid lines.
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- 'Title uses wrong domain: pyplots.ai instead of anyplot.ai — must match {spec-id}
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· {library} · anyplot.ai format'
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- 'Source code uses color=#306998 (Python Blue) for line and points — must be #009E73
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(Okabe-Ito position 1, brand green)'
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- No ANYPLOT_THEME environment variable handling — code must read os.getenv(ANYPLOT_THEME,
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light) and apply adaptive background/text/grid color tokens
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- 'Wrong output filenames: saves to plot.png and plot.html instead of plot-{THEME}.png
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and plot-{THEME}.html'
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- Full horizontal and vertical grid lines for a line chart — restrict to y-axis
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(horizontal) grid only per style guide
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- geom_point overlaid on 72 monthly data points adds unnecessary visual noise —
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remove or reduce significantly for a dense time series
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image_description: |-
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Light render (plot-light.png):
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Background: Warm off-white approximately #FAF8F1 — NOT pure white, correct theme surface.
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Chrome: Title at top ("span-basic · letsplot · [domain].ai"), axis label "Economic Index" (y-axis), "Year" (x-axis), tick labels 2006-2011 — all dark-colored and clearly readable against the light background.
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Data: Main line is a green/teal color consistent with #009E73 (Okabe-Ito position 1). Semi-transparent pale yellow span covers 2008 to mid-2009. "Recession 2008-2009" annotation text inside span. Legend on right shows yellow swatch labeled "Recession Period".
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Legibility verdict: PASS
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Dark render (plot-dark.png):
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Background: Warm near-black approximately #1A1A17 — NOT pure black, correct dark theme surface.
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Chrome: Title, axis labels, tick labels, legend text — all appear light-colored (white/near-white) and clearly readable against the dark background. No dark-on-dark text failures observed.
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Data: Main line retains identical green/teal color as in light render — data colors are consistent across themes. Span fill appears golden/brownish (#FFD43B at 25% opacity over dark background). Annotation text "Recession 2008-2009" is visible.
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Legibility verdict: PASS
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criteria_checklist:
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visual_quality:
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score: 37
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max: 40
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score: 28
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max: 30
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items:
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- id: VQ-01
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name: Text Legibility
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score: 10
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max: 10
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score: 8
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max: 8
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passed: true
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comment: Title, axis labels, tick marks, and legend are all clearly readable
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with appropriate font sizes
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comment: 'All font sizes explicitly set: plot_title=24, axis_title=20, axis_text=16,
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legend_text=16, legend_title=18. All text readable in both renders.'
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- id: VQ-02
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name: No Overlap
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score: 8
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max: 8
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score: 6
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max: 6
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passed: true
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comment: No overlapping text elements, all labels well-spaced
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comment: No overlapping text or elements.
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- id: VQ-03
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name: Element Visibility
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score: 7
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max: 8
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score: 5
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max: 6
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passed: true
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comment: Line and markers are appropriately sized for the data density (72
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points); markers could be slightly smaller to reduce visual clutter
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comment: Line clearly visible. geom_point on 72 monthly observations creates
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some noise; points not necessary alongside the continuous line.
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- id: VQ-04
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name: Color Accessibility
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score: 5
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max: 5
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score: 2
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max: 2
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passed: true
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comment: Blue line on yellow span provides excellent contrast; colorblind-safe
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comment: Good contrast in both themes; CVD-safe.
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- id: VQ-05
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name: Layout Balance
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score: 5
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max: 5
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name: Layout & Canvas
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score: 4
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max: 4
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passed: true
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comment: Plot fills canvas appropriately with balanced margins
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