ggplot2 essentials for great data visualization in r infographic

Data visualization infographic titled "Streamgraph Topic Over Time" using a TREND LINE (over time) as the dominant visual element, since the storytelling angle is to show change across time. Show a clean multi-series streamgraph-inspired trend display with stacked flowing bands over a clearly labeled time axis from 2016 to 2025 and a vertical axis labeled "Share of Discussion (%)" with honest zero-based scaling where appropriate, sharp tick marks, crisp gridlines, and all labels in English. Include 5 topic bands with realistic illustrative values that evolve over time: "Basics" 18, 20, 24, 26, 23, 21, 19, 17, 15, 14; "Aesthetics" 12, 14, 16, 18, 20, 19, 18, 17, 16, 15; "Themes" 8, 9, 10, 12, 14, 16, 18, 20, 21, 22; "Animation" 4, 5, 6, 8, 11, 13, 15, 16, 17, 18; "Extensions" 6, 7, 8, 10, 12, 14, 17, 19, 20, 21. Add a subtitle in English: "Illustrative trend in streamgraph-related topics over time". Include a compact legend in English. Add 4 key insight callouts with small icons and short interpretations in English: 1) headline number "22%" with text "Themes becomes the leading growth topic by 2025" and an upward arrow icon; 2) headline number "+14 pts" with text "Extensions shows the largest long-term gain" and a plug icon; 3) headline number "18%" with text "Animation rises steadily as advanced storytelling spreads" and a play icon; 4) headline number "14%" with text "Basics declines as audiences shift to more specialized topics" and a book icon. Add a small side note box in English labeled "Why this matters" with one sentence: "Interest appears to move from foundational skills toward styling, themes, and advanced extensions over time." Add a small SOURCE / DATA-NOTE strip at the bottom in English reading: "Data note: Illustrative example for visual demonstration only. Values are plausible sample figures, not sourced measurements." Visual style: NYT graphics desk meets Economist warm beige palette, muted sand background, charcoal typography, soft rust, olive, slate blue, dusty teal, and warm gold bands, subtle paper texture, restrained editorial annotation style, editorial data journalism illustration, FT / Bloomberg-grade chart aesthetics, vector-clean infographic layout. Ensure the chart is the dominant element, with precise axis labels, readable year ticks, balanced whitespace, and no misleading axis truncation or scale manipulation. Do not include search-intent phrase as on-image text; use it only to guide the visual emphasis toward educational data-viz topics in R. 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.