The avatar for @pac02
PAC
I explore Wikidata and Wikipedia using Observable notebooks.
Public
Explore Wikidata
Edited
Aug 18, 2022
1 fork
2 stars
3
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
data_work_filtered2 = data_work.filter(aq.escape(d => d.itemLabel === artist)).orderby("date")
Insert cell
plot_your_career(artist)
Insert cell
Insert cell
plot_your_career("Jeanne Moreau")
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
data_work_byartist = data_work.groupby("item", "itemLabel").count().orderby(aq.desc("count"))
Insert cell
Insert cell
data_work_filtered = data_work.filter(aq.escape(d => d.item === artist2.item)).orderby("date")
Insert cell
Insert cell
data_work.dedupe().orderby("date").groupby(["item", "itemLabel"]).slice(0,1).join_left(data_artistes, "item").view()
Insert cell
probability_by_gender = data_work
.dedupe()
.orderby("date")
.groupby(["item", "itemLabel"])
.slice(0,1)
.join_left(data_artistes, "item")
.ungroup()
.groupby(["genderLabel", "type"])
.count()
.ungroup()
.groupby("genderLabel")
.derive({share: d => 100 * d.count/op.sum(d.count)})
Insert cell
Insert cell
Insert cell

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.
Learn more