data = FileAttachment("penguins.csv").csv({typed: true})
Mock ROI Vendor Eval Vendors - VendorInfo.csv
Type Table, then Shift-Enter. Ctrl-space for more options.
Plot.plot({
inset: 8,
grid: true,
color: {
legend: true,
},
marks: [
Plot.dot(data, {x: "flipper_length_mm", y: "body_mass_g", stroke: "package_type"})
]
})
vdata = FileAttachment("Mock ROI Vendor Eval Vendors - VendorInfo.csv").csv()
Plot.plot({
inset: 0,
grid: true,
x: {type:"linear"},
y: {type:"linear"},
color: {
legend: true
},
marks: [
Plot.dot(vdata, {x: "Market Penetration Score", y: "Strength of Offering Score", stroke: "Package Type"})
]
})
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.
