What is data visualization?

Data visualization is the practice of turning numbers into visual forms, such as charts, maps, and graphics, so people can understand patterns, comparisons, and changes at a glance. A table of 3,000 county results is hard to read. The same results shaded on a map show who is winning, and where, in seconds.

August 28, 2026

Data visualization is the practice of turning numbers into visual forms, such as charts, maps, and graphics, so people can understand patterns, comparisons, and changes at a glance. A table of 3,000 county results is hard to read. The same results shaded on a map show who is winning, and where, in seconds.

Common forms of data visualization

  • Maps: results by region, rainfall totals, storm tracks
  • Bar and column charts: comparing candidates, parties, or cities
  • Line charts: change over time, such as temperature through the week or vote counts through the night
  • Gauges and counters: a seat count, a percentage of votes reported, a countdown to a threshold

Data visualization in broadcasting

On television, data visualization has a constraint that a report or dashboard does not. The viewer gets a few seconds, cannot scroll back, and may be watching from across the room. That changes the rules:

  • Fewer data points, not more. Each graphic should answer one question.
  • The presenter leads. Visuals should follow the story being told, not compete with it.
  • Live data has to stay accurate. During elections and severe weather, the numbers change mid-segment, so the graphic must update without being rebuilt.

As Cyrus Doomasia, Head of Delivery at InterKnowlogy, puts it: "You don't want to see a lot of data on the screen, because that overwhelms the end user. So we try to keep it as clean as possible so that you can get the story around it."

Data visualization vs. data storytelling

The two terms are related but not the same. Data visualization is the graphic itself. Data storytelling is the narrative a presenter builds around it: which number matters, why, and what happens next. On air, the strongest segments combine both.

Why it matters for broadcasters

Elections and weather are the two of the biggest data stories on television. In both, audiences tune in to understand something that affects them directly, and the visual is often what they remember. Clear visualization builds trust in the coverage. Cluttered or slow graphics erode it.

Related terms

InterKnowlogy builds data visualization platforms for live broadcast: IK Election Insights and IK Weather Insights.

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