Clean editorial figma graph infographic showing side-by-side comparison columns for line chart best practices versus common mistakes. Features ranked clarity scores, mini trend line examples, insight callouts, and a polished data-journalism style with crisp vector layout.
Re-render this exact infographic with every label, heading and caption translated. We re-use all the original attributes (topic, style, palette, …) and only swap the language. Currently in English.
Data visualization infographic titled "Line Chart Best Practices" using COMPARISON COLUMNS as the dominant visual element to show contrast between recommended and poor line-chart design choices. Create a side-by-side editorial explainer layout: left panel shows "Best Practice" examples, right panel shows "Common Mistake" examples, with a smaller supporting mini TREND LINE example row beneath to reinforce correct line-chart behavior. Sharp axis labels and tick marks in English on every chart example. Use realistic plausible illustrative values only, clearly marked as illustrative. Main chart design: 6 ranked comparison columns comparing paired design dimensions, with values on a 0–100 quality score scale. X-axis labels in English: "Clear title", "Consistent scale", "Direct labeling", "Limited series", "Readable colors", "Context annotations". Y-axis label: "Clarity score (illustrative)" with visible tick marks at 0, 20, 40, 60, 80, 100. Best Practice values: 95, 92, 90, 88, 86, 84. Common Mistake values: 42, 35, 38, 28, 33, 30. Use paired rainbow categorical colors with clean legend labels: "Best Practice" and "Common Mistake". Supporting mini line-chart strip beneath the main comparison: two small trend examples over months labeled "Jan", "Feb", "Mar", "Apr", "May", "Jun". Left mini-chart labeled "Good line chart" showing two directly labeled series with a zero-based honest scale and subtle annotation. Series values (illustrative): Product A 42, 48, 51, 58, 61, 67; Product B 38, 40, 44, 46, 50, 54. Right mini-chart labeled "Poor line chart" showing too many series, clutter, and exaggerated vertical swings from inconsistent scaling; still keep axis labels sharp and honest in depiction, but visually communicate clutter and confusion rather than deception. Add 5 key insight callouts with headline number, short interpretation in English, and small icon: 1. "95/100" — "Clear titles make trend reading immediate" with title icon. 2. "92/100" — "Consistent scales prevent distorted comparisons" with ruler icon. 3. "90/100" — "Direct labels reduce legend-scanning effort" with tag icon. 4. "88/100" — "Fewer series improve pattern recognition" with eye icon. 5. "2x clearer" — "Annotated context helps explain turning points" with note icon. Include small teaching labels near the good example in English: "Directly label lines", "Use even time intervals", "Annotate major change", "Avoid visual clutter". Include contrasting caution labels near the bad example in English: "Too many lines", "Hard-to-read legend", "Busy grid", "Weak hierarchy". Add a small SOURCE / DATA-NOTE strip at the bottom in English: "Data note: Illustrative example for design best practices, not measured survey data. Figures are illustrative unless sourced by the user." No fake authoritative sources. Visual style: minimal flat, rainbow categorical palette, lots of white space, crisp vector geometry, subtle grey gridlines, clean typography, contrast-focused composition, calm but instructive mood. Emphasize chart literacy and side-by-side storytelling. 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.
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