Learning Tableau 2020 Bubble Chart Heatmap Infographic

Data visualization infographic titled "Heatmap Example" using a BUBBLE CHART as the dominant visual element, styled as a 3D scatter composition to show contrast across clusters. Create a dark dashboard layout with FT pink and navy palette: deep navy background, soft pink highlights, muted slate gridlines, white and pale gray typography, subtle magenta-to-pink bubble glow. Use editorial data journalism illustration, FT / Bloomberg-grade chart aesthetics, vector-clean infographic layout.

Main chart: a large central bubble chart with sharp English axis labels and tick marks, no truncated axes, no misleading scale manipulation. X-axis label exactly: "Category Intensity" with ticks from 0 to 100 at 10-point intervals. Y-axis label exactly: "Performance Score" with ticks from 0 to 100 at 10-point intervals. Add a visual depth cue for the 3D scatter effect with a third encoded variable labeled exactly in a small legend: "Volume (bubble size)". Plot 12 plausible illustrative bubbles grouped into contrasting zones: low intensity / high performance, high intensity / low performance, balanced mid-range, and outlier extremes. Label each bubble with short English names such as "Segment A", "Segment B", "Segment C", through "Segment L". Bubble sizes should range plausibly from 18 to 92. Use stronger pink for standout high-contrast outliers and navy-pink mixed tones for moderate clusters.

Suggested illustrative data points for accurate rendering: Segment A (18, 82, size 34), Segment B (24, 76, size 28), Segment C (31, 68, size 41), Segment D (42, 55, size 52), Segment E (48, 49, size 44), Segment F (57, 61, size 58), Segment G (63, 38, size 67), Segment H (71, 29, size 74), Segment I (79, 22, size 88), Segment J (84, 73, size 39), Segment K (91, 18, size 92), Segment L (67, 84, size 26). Add subtle quadrant shading or contour glow to emphasize contrast, with English quadrant captions: "Low Intensity / High Performance", "Balanced Zone", "High Intensity / Low Performance", "Outlier Contrast".

Include 4 key insight callouts around the chart, each with a headline number, a short interpretation in English, and a small icon:
1. "92" — "Largest illustrative volume appears in a low-performing high-intensity segment." — icon: filled circle / bubble.
2. "66 pts" — "Widest contrast gap between top-right and bottom-right clusters." — icon: contrast arrows.
3. "3 segments" — "Only a few bubbles combine strong performance with lower intensity." — icon: upward trend marker.
4. "84" — "A standout positive outlier shows high performance despite mid-high intensity." — icon: star.

Add a compact legend in English with exact labels: "Bubble size = Volume", "Pink = High contrast", "Navy = Core cluster", "All figures illustrative". Include faint dashboard panels, micro grid details, and side metric cards for aesthetic support, but keep the bubble chart dominant.

Add a small bottom source / data-note strip in English reading exactly: "Data note: Illustrative example for visualization learning purposes. Values and segment names are sample figures, not sourced measurements." Keep this strip subtle and clearly separated from the chart.

Overall mood: analytical, high-contrast, modern, premium newsroom dashboard, clear storytelling focused on contrast and pattern recognition. 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.