Line Chart Best Practices for Google Data Studio Real Time Dashboard

Data visualization infographic titled "Line Chart Best Practices" using COMPARISON COLUMNS as the dominant visual element to show inequality between good and bad line-chart design choices. Create a dark dashboard composition with FT pink and navy palette, high contrast, sleek grid, subtle glow accents, and editorial data journalism illustration, FT / Bloomberg-grade chart aesthetics, vector-clean infographic layout. Main chart: a side-by-side comparison column chart with 6 ranked categories on the x-axis labeled in English: "Honest Y-Axis Scale", "Clear Time Intervals", "Direct Labeling", "Limited Series Count", "Consistent Color Encoding", "Context Annotations". Y-axis labeled "Clarity Score (%)" with full scale from 0 to 100, evenly spaced tick marks at 0, 20, 40, 60, 80, 100, explicitly avoiding truncated axes or misleading scaling. Two series in legend: "Best Practice" and "Poor Practice". Use realistic illustrative values: Best Practice = 96, 92, 89, 84, 88, 81; Poor Practice = 41, 38, 35, 29, 33, 27. Make the inequality visually obvious but honest through full-scale comparison, with best-practice columns in FT pink and poor-practice columns in deep navy outlined with lighter navy. Add subtle benchmark line labeled "Minimum readable standard" at 50. Include 4 key insight callouts around the chart, each with a small icon and English text: 1) headline number "55-point gap" with interpretation "Illustrative difference in clarity between honest and misleading y-axis design" and an axis icon; 2) headline number "96%" with interpretation "Full-scale axes rank highest for trust and readability" and a checkmark icon; 3) headline number "29%" with interpretation "Overcrowding too many series sharply reduces interpretability" and a tangled-lines icon; 4) headline number "6/6" with interpretation "Every evaluated practice shows a large inequality between good and poor execution" and a magnifier icon. Add a compact side panel titled "What good line charts do" with short English bullets: "Show time clearly", "Keep scales honest", "Label lines directly", "Use annotations sparingly". Add a small lower strip labeled "Data note" with text: "Illustrative example for design guidance. Scores are plausible mock values, not sourced measurements. Search intent reference: google data studio real time dashboard." Ensure all axis labels, ticks, legend, headings, captions, and metrics are sharp and readable in English. No maps, no extra decorative charts overpowering the main comparison columns. 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.