Narrative tableau pie chart vs donut chart infographic

Data visualization infographic titled "Pie Chart vs Donut Chart" using PIE / DONUT (composition) as the dominant visual system, arranged as a small-multiples grid comparing paired examples of a full pie chart and a donut chart to show the breakdown clearly. Central composition: a clean 2-column grid with multiple category breakdown examples, left column labeled "Pie Chart", right column labeled "Donut Chart", each row showing the same composition with identical values for direct comparison. Use realistic plausible illustrative data with 5 categories per example, such as "Category A 34%", "Category B 26%", "Category C 18%", "Category D 12%", "Category E 10%" in one panel, and additional panels with varied plausible splits like 40/22/16/12/10 and 28/24/20/15/13. Render large, crisp slices with precise percentage labels, thin leader lines where needed, clean legends, and sharp guide marks and alignment references in English. Include a subtle comparison framework with measurement labels such as "100% total", "Category share (%)", and small reference ticks or radial percentage markers to satisfy sharp label clarity without misleading scale manipulation. Add 4 key insight callouts with small icons: "100%" plus "Both charts encode the same whole-to-part data" with an equal/comparison icon; "5 categories" plus "Pie is direct for simple composition reading" with a pie icon; "Center space" plus "Donut allows a summary metric in the middle" with a ring icon; "Same values" plus "Donut improves layout flexibility, not data accuracy" with a grid/layout icon. Add a small center label inside donut examples like "Total 100%" and keep pie examples without center labels to emphasize the design distinction. Include a compact footer strip reading "Data note: Illustrative example. Figures shown are sample composition data for visual comparison only." and "Source: Illustrative example". Visual style: minimal flat design, rainbow categorical palette with balanced vivid hues, lots of white space, clean geometric forms, soft neutral background, modern editorial clarity, calm analytical mood. Ensure no fake authoritative sources, no misleading axis truncation or scale manipulation, and keep the chart itself as the main visual rather than decorative elements. Include editorial data journalism illustration, FT / Bloomberg-grade chart aesthetics, vector-clean infographic layout. All text MUST be written in English (array). Every heading, label, caption, legend and metric name in the image must be in English — not English. Spell each English word correctly using English characters and diacritics. Numbers stay as digits, no fake authoritative sources cited, no watermarks Numbers labeled "illustrative" unless the user supplied specific sourced data. No fake authoritative sources cited (do not invent "Source: Reuters 2025" — use "Illustrative example" instead). No misleading axis truncation or scale manipulation.