Designer, writer, and developer exploring how to tell more engaging stories with interactive, data-driven experiences.
Public
Edited
May 23, 2023
Plot.plot({
marginLeft: 125,
x: { grid: true },
y: { label: "City" },
color: { legend: true },
marks: [
Plot.barX(
productRecallsInMMakeovermonday0522Queryresult,
Plot.groupY(
{ x: "count" },
{
y: "recalling_firm_city",
fill: "product_type",
sort: { y: "x", limit: 10, reverse: true }
}
)
),
Plot.ruleX([0])
]
})
product-recalls-in-m-makeovermonday-05-22-QueryResult.csv
Type Table, then Shift-Enter. Ctrl-space for more options.
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.
