Visualizing Data with Python Box Plot Anatomy Infographic

Data visualization infographic titled "Box Plot Anatomy" using a PIE / DONUT (composition) as the dominant visual element to explain inequality in a distribution. Create a dark dashboard layout with FT pink & navy palette: deep navy background, Financial Times pink highlights, muted slate grid accents, white and soft gray typography, high-contrast editorial presentation. The central visual should be a large segmented donut chart representing the five key parts of a box plot as proportional composition of a sample distribution: "Lower Tail (Min to Q1)" 25%, "Lower Quartile to Median" 25%, "Upper Quartile to Q3" 25%, "Upper Tail (Q3 to Max)" 25%, plus visual overlays emphasizing unequal spread by showing that equal population shares can occupy very different value ranges. Around or beneath the donut, add a secondary mini horizontal box plot schematic with sharp axis labels and tick marks in English: axis title "Value", ticks at "0", "10", "20", "30", "40", "50", "60", "70", "80", "90", "100"; whiskers, box, median line, and an outlier dot clearly labeled. Use illustrative values for the box plot anatomy: "Min 8", "Q1 22", "Median 35", "Q3 62", "Max 96", with one outlier at "99" labeled "Outlier". Visually communicate inequality by making the lower half compact and the upper half stretched, with annotations showing that each quartile contains 25% of observations but spans different numeric ranges. Include 4 key insight callouts with small icons, each containing a headline number and short interpretation in English: 1) "25%" — "Each quartile holds an equal share of observations" with a group icon; 2) "27" — "Upper middle quartile spans a wider value range than the lower middle quartile" with a ruler icon; 3) "40" — "Interquartile range highlights the spread of the middle 50%" with a box icon; 4) "1" — "A single high outlier signals extreme values beyond the whisker" with a warning dot icon. Add a small legend in English identifying "Whisker", "Q1", "Median", "Q3", "Outlier", and "IQR". Include a subtle explanatory subtitle in English such as "Equal shares, unequal spread: how a box plot reveals distribution inequality". Ensure sharp labels, tick marks, and no misleading axis truncation or scale manipulation; the mini box plot must start at zero and use even spacing. Add a small SOURCE / DATA-NOTE strip in English at the bottom reading: "Data note: Illustrative example for explaining box plot anatomy. Values and proportions are illustrative, not sourced from a real dataset." Visual style: sleek dark dashboard, restrained newsroom infographic, analytical and polished mood. 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.