Public
Edited
Jun 6, 2023
Plot.plot({
marks: [Plot.dot(cat_data, { x: "Time" })]
})
Plot.plot({
y: { grid: true },
marginLeft: 200,
width: 1000,
y: {
domain: [
"36-mon-follow-up",
"18-mon-follow-up",
"ses-study-MR",
"ses-clinical"
]
},
marks: [Plot.rectX(data, Plot.groupY({ x: "count" }, { y: "timepoint" }))]
})
cat_data = d3.csvParse(`Time,
'17-02-22',
'01-03-22'
`)
data = d3.csv(
"https://raw.githubusercontent.com/landge/NorCOAST_Imaging_Dataset/master/code/deleted_duplicate_files.csv"
)
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.
