ra uru hu chart scatter plot trendline infographic

Data visualization infographic titled "Scatter Plot Trendline" using TREND LINE (over time) as the dominant visual element, designed specifically as a scatter plot with a fitted trendline and one clearly highlighted surprise outlier. Main chart: dark dashboard background, FT pink and navy palette, editorial data journalism illustration, FT / Bloomberg-grade chart aesthetics, vector-clean infographic layout. Show a time-series scatter plot from "2018" to "2024" on the x-axis and "Metric Value (illustrative)" on the y-axis, with sharp axis labels, evenly spaced tick marks, subtle gridlines, and no misleading axis truncation or scale manipulation; baseline should be honest and clearly readable. Plot realistic plausible monthly or quarterly points in navy, with a smooth pink trendline rising gradually over time. Include one standout outlier point in bright FT pink or contrasting coral around "2023" with value notably above trend, labeled as an unexpected spike. Suggested illustrative values: most points range from 42 to 78, trendline rises from about 45 in 2018 to 74 in 2024, and the outlier peaks near 96 in 2023. Add a compact legend in English with exact labels: "Observed points (illustrative)", "Trendline (illustrative)", "Outlier". Add 4 key insight callouts around the chart, each with a small icon, headline number, and short interpretation in English: 1) "96" — "Unexpected spike far above trend" with alert icon; 2) "+29" — "Trend gain from 2018 to 2024" with upward arrow icon; 3) "74" — "End-period trend remains elevated" with line-chart icon; 4) "18 pts" — "Outlier sits roughly 18 points above expected level" with spotlight icon. Include small annotation near the outlier with exact text: "Surprise outlier" and "Well above fitted trend". Add a small source / data-note strip at the bottom in English with exact text: "Data note: Illustrative example only. Figures are illustrative and not sourced data." Keep all labels crisp and dashboard-like, with glowing but restrained UI accents, high contrast typography, clean spacing, and a sophisticated analytical mood. Avoid any branding, watermarks, or fake authority cues. 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.