Data Visualisation Open Source Sankey Pipeline Infographic

Data visualization infographic titled "Bubble Chart Example" using a SANKEY FLOW as the dominant visual element to show a trend over stages in a pipeline. Create a clean editorial data journalism layout with one large central sankey diagram spanning left to right, showing how an illustrative set of open-source data visualization tool users flow from Awareness to Trial to Active Use to Contribution over time-like stages. Even though the topic says bubble chart example, the main chart archetype must be a sankey flow / pipeline because that is the requested chart type. Use realistic plausible illustrative numbers and clearly label them as illustrative.

Chart structure and labels in English: left-side nodes "Awareness", "Trial", "Active Use", "Regular Use", "Contribution". Add branch categories by tool family flowing through the pipeline: "Python libraries", "JavaScript libraries", "BI platforms", "R packages", "Other tools". Example illustrative values: Awareness total 10,000 flowing into Trial 6,800, Active Use 4,900, Regular Use 3,200, Contribution 1,150. Segment flows can plausibly split as follows at Trial: Python libraries 2,100, JavaScript libraries 1,750, BI platforms 1,500, R packages 900, Other tools 550; at Active Use: Python libraries 1,700, JavaScript libraries 1,350, BI platforms 1,050, R packages 550, Other tools 250; at Contribution: Python libraries 430, JavaScript libraries 310, BI platforms 160, R packages 180, Other tools 70. Maintain proportional widths accurately with no misleading scale manipulation.

Include subtle top or bottom reference axis with sharp English tick marks for stage progression labeled "Stage 1", "Stage 2", "Stage 3", "Stage 4", "Stage 5" and a secondary small retention scale labeled "Users retained" with ticks "0", "2,000", "4,000", "6,000", "8,000", "10,000". All labels and tick marks must be sharp and fully legible in English.

Add 4 key insight callouts with small icons, each containing a headline number and short interpretation in English: 1) icon upward trend arrow, headline "68%", text "Illustrative conversion from awareness to trial remains strong." 2) icon funnel, headline "49%", text "About half of initial interest reaches active use." 3) icon code brackets, headline "430", text "Python libraries lead illustrative contribution volume." 4) icon community users, headline "1,150", text "Only a small share becomes repeat contributors." Position callouts around the sankey without obscuring flows.

Add a compact subtitle in English: "Illustrative pipeline trend for open-source data visualization adoption". Include small annotations on selected flows such as "largest drop-off", "steady retention", and "contributor bottleneck".

Add a small source / data-note strip at the bottom in English reading exactly: "Data note: Illustrative example only. Figures are plausible mock values for visual demonstration, not sourced survey data." Do not cite any fake authoritative organization.

Visual style: NYT graphics desk, Economist warm beige palette, soft parchment background, muted sand and cream base tones, dark charcoal typography, restrained terracotta and muted teal accents for emphasis, thin hairline dividers, elegant serif-sans editorial pairing, generous white space, subtle print-magazine texture, calm analytical 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.