ggplot2 essentials for great data visualization in r infographic

Data visualization infographic titled "Streamgraph Topic Over Time" using TREND LINE (over time) as the dominant visual element, since the storytelling angle is to show trend over time. Create a dark-mode editorial data journalism layout in Reuters / Economist style with neon accents, FT / Bloomberg-grade chart aesthetics, vector-clean infographic layout. Main chart: a wide multi-series streamgraph-style trend visualization across time from 2018 to 2025 with sharp x-axis labels and y-axis tick marks in English, clearly readable and not truncated, honest scaling, subtle gridlines, and a right-side legend in English. Use realistic plausible illustrative values for topic intensity by category, for example categories labeled "Data Wrangling", "Grammar of Graphics", "Statistical Layers", "Themes & Styling", and "Interactive Extensions". Make the streamgraph the dominant visual, with smooth flowing stacked bands in neon cyan, magenta, lime, amber, and violet over a charcoal-black background. Include a small secondary regional summary panel as a compact choropleth-style mini-map labeled "Regional Interest Snapshot (Illustrative)" with regions "North America", "Europe", "Asia-Pacific", "Latin America", and "Middle East & Africa", but keep it secondary to the time-trend chart.

Add 4 key insight callouts positioned around the chart, each with a small icon and English text: 1) headline number "38%" with interpretation "Illustrative growth in total streamgraph-related interest since 2020" and a small upward arrow icon; 2) headline number "2023" with interpretation "Peak momentum for 'Themes & Styling' in the illustrative series" and a small spark icon; 3) headline number "5 regions" with interpretation "Regional snapshot compares broad adoption patterns across major markets" and a small globe icon; 4) headline number "12.4M" with interpretation "Illustrative cumulative views / engagements represented in the trend index" and a small analytics icon. Ensure each callout is concise, editorial, and visually anchored to the relevant area of the chart.

Add a clean subtitle in English: "Illustrative evolution of streamgraph-related data visualization interest over time". Add axis labels in English exactly as: x-axis "Year" and y-axis "Illustrative Interest Index". Add legend labels in English exactly as: "Data Wrangling", "Grammar of Graphics", "Statistical Layers", "Themes & Styling", "Interactive Extensions". Add small annotation tags on notable peaks such as "Momentum builds", "Styling surge", and "Broader adoption".

Include a slim footer strip in English reading: "Data note: Illustrative example only. Values are plausible mock figures for visualization layout testing, not sourced measurements." Keep typography crisp, modern, and restrained; use Economist / Reuters-inspired editorial hierarchy with thin sans-serif labels, compact legends, subtle separators, and glowing neon highlights against a matte dark background. 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.