Victoria Beckham Birth Chart Scatter Plot Trendline Infographic

Data visualization infographic titled "Scatter Plot Trendline" using PIE / DONUT (composition) as the dominant visual element to show contrast. Create a large central donut chart with two contrasting segments labeled "Trend-Aligned" and "Outliers / Variance", with realistic plausible illustrative values such as 68% vs 32%. To satisfy the scatter plot trendline topic, add a smaller secondary inset scatter plot with a clear upward trend line, sharp x-axis and y-axis labels, visible tick marks, and honest full-scale presentation with no misleading truncation. All chart labels must be in English. Include a concise subtitle in English: "Contrast between overall composition and point-level trend". Add 4 insight callouts around the chart, each with a small icon and English text: 1) headline number "68%" with interpretation "Majority of points follow the overall trend"; 2) headline number "32%" with interpretation "A substantial minority diverges from the fitted line"; 3) headline number "+0.62" with interpretation "Illustrative positive correlation suggests moderate alignment"; 4) headline number "High contrast" with interpretation "Red-green split emphasizes difference between clustered and scattered behavior". Add a small legend in English with exact labels "Trend-Aligned", "Outliers / Variance", and "Illustrative scatter trend". Add a bottom source strip in English reading "Data note: Illustrative example. Figures are illustrative unless sourced by the user." Visual style: hand-annotated sketchnote, marker lines, notebook-margin arrows, circled annotations, slightly rough pen texture, but still precise chart geometry and sharp axis labels. Color palette: high-contrast red and green with black ink outlines on off-white paper background. Mood: analytical, contrasting, editorial. 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.