Scatter Plot Trendline Infographic to Visualize Time Series Data Python

Data visualization infographic titled "Scatter Plot Trendline" using TREND LINE (over time) as the dominant visual element, specifically a time-series scatter plot with a fitted trend line and one clearly highlighted outlier. Show a horizontal time axis labeled "Year" with sharp tick marks from 2016 to 2025, and a vertical value axis labeled "Value" with clear evenly spaced tick marks from 0 to 100, full baseline visible, no truncated axis, no misleading scale manipulation. Plot realistic plausible illustrative data points as blue circular markers: 2016=42, 2017=45, 2018=47, 2019=51, 2020=49, 2021=56, 2022=60, 2023=63, 2024=88, 2025=67. Add a smooth or linear trend line in darker navy showing steady upward movement, while the 2024 point stands out as the surprise outlier in contrasting rust-red with a ring highlight and annotation cue. Include subtle gridlines and precise English axis labels, metric labels, and year ticks.

Add 4 key insight callouts around the chart, each with a small retro-style icon and concise editorial annotation in English: 1) headline number "88" with text "Outlier peak in 2024, far above the long-run trend" and a starburst icon; 2) headline number "+25" with text "Typical rise from 2016 to 2025 excluding the spike" and an upward arrow icon; 3) headline number "2024" with text "Largest deviation from the fitted line" and a warning-dot icon; 4) headline number "67" with text "Returns closer to trend after the anomaly" and a return-arrow icon.

Include a small legend in English with exact labels "Observed values", "Trend line", and "Outlier". Add a compact subtitle in English: "Time-series scatter with fitted trend and anomaly highlight". Add a small source / data-note strip at the bottom in English reading exactly: "Data note: Illustrative example. Values are illustrative and not sourced." 

Visual style: retro 1970s magazine charts, editorial blue & cream palette, warm cream paper background, navy and cobalt plotting colors, muted rust-red outlier accent, subtle ink texture, vintage print feel, geometric sans-serif mixed with classic serif display title, balanced margins, sharp vector lines, clean annotations, editorial data journalism illustration, FT / Bloomberg-grade chart aesthetics, vector-clean infographic layout. Emphasize the surprise / outlier storytelling angle with the anomaly visually unmistakable but the trend line still dominant. 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.