Your Data Needs a Translator
A spreadsheet full of numbers is not a presentation. It's raw material. Most people stare at data and expect the insight to jump out. It doesn't. Someone has to shape the numbers into a message — and if you're reading this, that someone is you.
Good data presentation isn't about fancy charts. It's about answering one question for the reader: "So what?" Every number you show should have a clear reason for being there.
The "So What?" Test
Before you put any number in front of an audience, ask: "So what?" If you can't answer in one sentence, the number doesn't belong.
"Our website got 50,000 visitors last month." So what? Is that up or down? Compared to what? "Our website traffic grew 120% after launching the new landing page" — now you have a point. The number without context is trivia. The number with context is insight.
Apply this test to every data point in your presentation. You'll probably cut half of them. Good.
Match Your Data to the Right Format
Single impressive number → Stat card (build one at stat card maker). Make it big and bold. "4.2 million users" doesn't need a chart — it needs a giant font size and a contrasting color.
Comparisons → Bar chart or comparison bars (try chart maker). Side-by-side is intuitive. The reader immediately sees which bar is bigger. Proportions that add to a whole → Pie or donut chart, but only with 5 or fewer segments. More than 5 and it becomes an unreadable mess.
Change over time → Line chart. It's the only format that clearly shows trends, spikes, and dips. A sequence of steps → Process diagram or numbered list. Hierarchical relationships → Pyramid or org chart.
Storytelling With Numbers
A good data presentation has a narrative arc, just like a good story. Setup: what's the context? Tension: what's the problem or surprise? Resolution: what's the insight or recommendation?
For example: "We surveyed 1,000 remote workers (setup). 67% reported working more hours than when they were in the office, but only 23% feel more productive (tension). The data suggests that flexible schedules, not just remote access, are what drive productivity (resolution)."
Structure your infographic the same way. Title sets the context, middle sections present the surprising or important data, bottom section delivers the takeaway.
Common Data Presentation Mistakes
Showing raw data instead of processed data. Your audience doesn't need to see 200 survey responses — they need to see "73% said yes." Aggregate first, then visualize.
Using too many decimal places. "Revenue increased by 23.847%" is noise. "Revenue increased by 24%" is a fact your audience will remember. Round aggressively unless precision genuinely matters (scientific data, financial reporting).
Presenting data without benchmarks. "Our NPS score is 42" means nothing to someone who doesn't know the industry average. Add context: "Industry average is 31. We're at 42." Now the number has meaning.
Before and After: One Data Set, Two Presentations
Take any data set and ask two different people to present it. One will dump all the numbers into a table. The other will pick the three most important findings, visualize them with appropriate chart types, and write a headline that states the conclusion.
Both people had the same data. The difference is curation. The best data presenters are editors — they decide what to cut, what to emphasize, and what story the numbers tell.
Build a data presentation in GraphMake at editor. Start with the key finding as a heading, add stat cards for headline numbers, drop in a chart for the supporting data, and finish with a takeaway. Five widgets, five minutes, one clear message.
