Published
Edited
Mar 25, 2021
1 fork
1 star
chart
data.objects().listed_in
viewof countrydata = data
.groupby('country')
.count()
.filter(d => d.country != null)
.orderby(aq.desc('count'))
.slice(0, 10)
.view(10)
viewof allcountry = data
.groupby('country')
.count()
.orderby(aq.desc('count'))
.view(10)
viewof typedata = data
.groupby('type')
.count()
.view()
viewof data = aq
.fromCSV(await FileAttachment("netflix_titles@3.csv").text())
.view({ height: 240 })
data1 = FileAttachment("countryByCounts@3.csv").csv({ typed: true })
data2 = FileAttachment("CatagoryCount@1.csv").csv({ typed: true })
import { chart } with { rawdata as data } from "@d3/multi-line-chart"
import { navio } from "@john-guerra/navio"
d3 = require("d3@^6.1")
import { swatches } from "@d3/color-legend"
import { vl } from "@vega/vega-lite-api"
import { groupToStack } from "@john-guerra/d3-stack-with-d3-group"
import { aq, op } from '@uwdata/arquero'
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.
