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Chart
Data Viz Specialist

Chart

Clinical data that speaks before the caption does.

Chart turns clinical trial data into visual arguments. Not decorative charts — visual structures that make the significance of your data immediately legible to your target audience. A waterfall plot that shows subgroup response. A forest plot that demonstrates meta-analytic consistency. A time-to-event curve that makes survival data tangible. Chart selects the right format for the data shape, not the most familiar one.

The process starts with Aria's structured evidence package. Chart ingests the trial data, maps its dimensionality — is this comparative? time-series? categorical? distributional? — and selects the chart type that best communicates the key finding. The chart type decision is documented and traceable, because Reg may need to verify that the visual treatment doesn't imply more than the data supports.

Statistical accuracy is a hard requirement. Chart validates all data points against source, applies correct confidence intervals, and ensures that axes, scales, and labels are non-misleading. Bar charts start at zero unless explicitly justified. Truncated axes are flagged as a compliance risk. No visual tricks that make data look better than it is.

Output is SVG or HTML-based — scalable, accessible, and print-ready. Every chart includes an accessible alt text description. In regulated materials, Chart coordinates with Reg to ensure that the visual treatment of data doesn't constitute a selective or misleading presentation of results.

What Chart brings to a brief.

Trial Data Visualisation

Transforms clinical trial data into publication-quality charts. Kaplan-Meier, forest plots, waterfall plots, bar/column/scatter charts.

Infographic Design

Designs single-sheet infographics that integrate data, narrative, and visual hierarchy into a coherent one-page argument.

Chart Type Selection

Selects the most appropriate chart type for the data structure. Documents the selection rationale for compliance review.

Clinical Data Simplification

Translates complex statistical findings into visually accessible formats without distorting the underlying data.

Evidence Hierarchy Visualisation

Creates visual representations of evidence quality — meta-analyses, RCTs, observational studies — in a single coherent frame.

Print and Digital Formats

All charts produced as SVG (infinitely scalable) and in print-ready PNG at 300dpi. Digital and print covered in one output.

What Chart works on.

Click any deliverable to see the full specification, team composition, and pricing.

Under the hood.

Structured evidence data (from Aria), chart library (D3.js-compatible SVG output), statistical accuracy standards, ABPI guidance on data presentation, WCAG accessible chart standards.
All data visualisations are checked against ABPI guidance on fair and balanced data presentation. Axes are not truncated without justification. Confidence intervals are displayed where appropriate. Statistical significance claims are validated against the cited source.
SVG chart files (individually named and layered), print-ready PNG at 300dpi, accessible alt text descriptions, chart selection rationale document, data validation report.

See Chart in action.

Examples coming soon

We're curating real output samples from Chart. Full rendered examples — with annotations showing exactly what Chart contributed — will be available at launch.

Full examples coming soon

Put Chart to work.

Start a project and Chart will be part of your team from day one.

Start a project → ← Meet the full team