Web Datavis researcher by day, Indie Game designer by night
data = FileAttachment("penguins.csv").csv({typed: true})
Plot.plot({
y: {
grid: true
},
color: {
legend: true
},
marks: [
Plot.rectY(data, Plot.binX({y: "count"}, {x: "flipper_length_mm", fill: "sex"})),
Plot.ruleY([0])
]
})
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.
