Data‑viz for decision‑makers
A new guide stresses that design principles, smart chart choice, interactivity and narrative are what turn dashboards into decision tools — not just prettier charts. Follow those rules and your health or diabetes dashboards will be far more actionable. (blog.madrigan.com)
Madrigan has been publishing a string of practical data‑viz guides: "Data Visualization 2025: From Charts to Strategic Decisions" on Nov 29, 2025 and "Data Visualization 2025: From Chaos to Actionable Insights" on Feb 1, 2026. (blog.madrigan.com) The Feb 1, 2026 piece explicitly recommends using scientifically tested color palettes and points readers to ColorBrewer 2.0 as a go‑to resource for accessible palettes. (blog.madrigan.com) Across Madrigan’s posts the recommended stack is concrete: D3.js for bespoke web visuals, and higher‑level options such as Tableau, Power BI, Plotly and Python libraries (Matplotlib/Seaborn/Altair) for faster builds or analytics workflows. (blog.madrigan.com) Madrigan frames interactivity as functional, not decorative, advising filters, drill‑downs and customizable views to convert static reports into exploration tools that let users answer follow‑up questions on the fly. (blog.madrigan.com) For diabetes specifically, NHS Digital’s National Diabetes Audit publishes multiple interactive dashboards (Type 1, inpatient safety, foot care and more) built primarily in Power BI and available from the NDA dashboard hub. (digital.nhs.uk) Regulatory context is tightening: the American Diabetes Association’s 2026 Standards of Care documents record minor updates to figures and tables to align with accessibility standards, underscoring the compliance angle for clinical dashboards. (diabetesjournals.org)
