Plot.plot({
y: {
grid: true,
label: `${packageName} PyPI downloads per day`
},
width: width,
marginLeft: 60,
marks: [
Plot.line(data_with_dates, {
x: "date",
y: "downloads",
title: "downloads",
tip: true
})
]
})
packages = fetch(
`https://datasette.io/content.json?sql=${encodeURIComponent(
packages_sql
)}&_size=max&_shape=arrayfirst`
).then((r) => r.json())
data = d3.json(
`https://datasette.io/content/stats.json?_size=max&package=${packageName}&_sort_desc=date&_shape=array`
)
data_with_dates = data.map(function(d) {
d.date = d3.timeParse("%Y-%m-%d")(d.date);
return d;
})
Inputs.table(data_with_dates)
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.
