Senior Art Editor at Nature News in London.
Public
Edited
Dec 4, 2023
data = FileAttachment("ep-authors-by-year.csv").csv({ typed: true })
data.columns
data_other = FileAttachment("other-fields.csv").csv({ typed: true })
data_other.columns
Plot.plot({
marginLeft: 250,
x: { grid: true, domain: [0, 1_300] },
marks: [
Plot.barX(data_other.slice(1, 11), {
x: "EP authors",
y: "Scientific Field",
sort: { y: "x", reverse: true }
}),
Plot.ruleX([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.
