Why data visualization matters, and how to make charts more effective, clear, transparent, and sometimes, beautiful.

Saloni Dattani walks through a practical checklist for making visualizations clearer, more honest, and easier to read, with tons of real redesigns and trade-offs you’ll recognize immediately.

This is a thoughtful teardown of a bad temperature chart, followed by nine well-justified redesigns with full ggplot examples.

Line charts, anomaly bands, distributions, and heatmaps show how encoding choices shape interpretation in practice.

This is an interactive, browser-based editor that allows users to create, customize, and configure complex data-driven choropleth and other map visualizations using the amCharts JavaScript library.