An infographic I designed five years ago about coffee consumption still gets shared regularly on social media. Over a million views, thousands of shares, and multiple publications have featured it—all from a single afternoon of design work. That project introduced me to the specific craft of infographic design, which shares principles with data visualization but requires its own distinct approaches. Infographics and data visualizations serve different purposes. Data visualizations answer analytical questions: how much, how many, how related? They assume an engaged viewer with analytical intent. Infographics answer engagement questions: what's interesting about this data? How do we make people care? They're designed for sharing, for passive consumption, for audiences who might never read a traditional report. This different purpose requires different design thinking. The visual hook is the most critical element of any infographic. Before a viewer reads a single data point, something should catch their eye and make them curious. This might be a striking statistic presented at massive scale, a surprising comparison, an unexpected visual metaphor, or simply beautiful design that signals "this is worth your time." Without a hook, even the most interesting data goes unnoticed. Information hierarchy in infographics is more dramatic than in analytical visualizations. The most important number should dominate visually, not merely be labeled as important. Secondary information supports and expands, but the hierarchy should be visually legible at a glance. Viewers should understand the infographic's main message within two seconds of seeing it; the details should reward closer examination. Narrative structure helps infographics hang together conceptually. Rather than presenting a collection of unrelated facts, infographics work best when they tell a story with a beginning, middle, and end—or at least a clear conceptual arc. A coffee infographic might flow from global consumption statistics, through production origins, to environmental impacts, to future trends. Each section leads to the next. Data selection for infographics prioritizes surprising and shareable information over comprehensive coverage. A table showing exact coffee production figures for every country is not an infographic—it's a spreadsheet. An infographic about coffee might highlight that Finland consumes more coffee per capita than any other nation, that espresso was invented in Italy in the early 1900s, or that coffee beans are technically seeds. These facts create engagement in ways that comprehensive data rarely does. Design aesthetics for infographics lean toward the distinctive and expressive. Unlike business visualizations that should be neutral and clear, infographics benefit from personality, visual creativity, and stylistic coherence. A unified visual theme—specific color palette, illustration style, typography—creates recognition and association. Some organizations develop instantly recognizable infographic styles that become part of their brand. The technical execution of infographics typically uses vector design tools—Illustrator, Inkscape, Figma—rather than code. This allows artistic freedom that would be difficult or impossible in browser-based tools. However, the same principles of information hierarchy, honest data encoding, and perceptual accuracy apply regardless of tools. Beautiful infographics that mislead through distorted data damage credibility along with aesthetic appeal.