Data Visualization

What is data storytelling and why it matters. A plain-English explainer with examples, misconceptions, and when this concept actually matters.

What is data visualization? A practical primer. A plain-English explainer with examples, misconceptions, and when this concept actually matters.

Observable Notebooks review in 2026. Pricing, setup, strengths, weaknesses, and who should actually use it.

How to visualize distributions for business audiences. Histogram, box plot, violin plot, and strip plot decisions, plus the rules that prevent misleading shapes.

How to visualize comparisons between categories, periods, or targets. Bar charts, bullet charts, dot plots, and the decision table that picks the right one.

How to visualize geographic data without misleading the reader. Choropleth, point, and flow map decisions, projection traps, and the right tools for 2026.

How to visualize time series data without lying or losing the audience. Chart types, axis tricks, smoothing, and the decision table for choosing the right view.

How solopreneurs and small teams present data to executives, investors, or clients. Slide structure, chart choice, and the 60-second narrative that wins approval.

10 ways charts mislead and how to fix each. Real examples, the math behind the distortion, and an honest-charting checklist for analysts and solopreneurs.

Build dashboards people actually use. Layout rules, KPI placement, interactivity patterns, and the design principles that turn data into decisions.