MIT CS Graduate student in MIT Visualization Group.
Previously undergraduate member of @uwplse and @uwsampl.
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])
]
})
Plot.plot({
label: null,
y: {
grid: true,
label: "Frequency (%)",
percent: true
},
marks: [
Plot.dot(alphabet, {x: "letter", y: "frequency", text: (d) => (d.frequency * 100).toFixed(1), dy: -6, lineAnchor: "bottom"}),
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.
