Data visualization guides

Make every chart easier to
trust and understand.

In-depth field guides for newsletter writers, data journalists, researchers, and analysts who need to choose the right chart, explain the math, cite the evidence, and publish on deadline.

Built around the work

From raw numbers to a defensible visual.

These are not three-minute glossaries. Each guide includes decision frameworks, worked examples, common failure modes, and copy-ready language your team can reuse.

  1. 01

    Choose the visual

    Start with the reader’s question and match the chart to the comparison—not to the software menu.

  2. 02

    Transform responsibly

    Make series comparable without hiding the scale, baseline, assumptions, or analytical tradeoffs.

  3. 03

    Publish with provenance

    Carry the source, method, date, and context into every newsletter, report, slide, and social export.

The library

Practical answers, all the way through.

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Put the methods to work with free browser tools.

Choose a chart format or rebase a dataset to 100, then continue into a publication-ready chart when you need it.

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