David Ramos is a designer and researcher, working in Washington, D.C. He uses visual tools—maps, images, websites, and events—to help us understand landscapes, past and future.
Public
Edited
Oct 8, 2022
flooding = FileAttachment("flooding@1.csv").csv({typed: true})
viewof table = Inputs.table(flooding)
Plot.rect(flooding, Plot.bin({fillOpacity: "count"}, {x: "Year", y: "floods_historical", thresholds: "freedman-diaconis"})).plot()
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
