Data visualization

Charts that show the shape of the data rather than decorating it, built to be read correctly at a glance.

Most product charts fail in one of two ways. They are decorated to the point where the data is hard to read, or they are technically correct and quietly misleading, with a truncated axis or a colour scale that implies a pattern that is not there.

The approach is to pick the encoding that matches the question being asked, keep the axis honest, and reserve colour for meaning rather than variety. Density and time series get treated differently from comparison and distribution, because they are different questions.

Deliverables can be design specifications or working chart code, depending on whether your team is building it or you want it shipped.

What you get

  • Encoding chosen to match the actual question
  • Honest axes and scales
  • Colour used for meaning, not decoration
  • Legible at real data volumes, not just the demo dataset
  • Delivered as specification or as working code

Also in Interface

Tell us what you are building.

Describe the problem in a paragraph. You get a real answer, not a discovery call.

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