Technologist that likes how politics connects with Internet. works in AI Forensics, Makhno, Hermes Center, GDPR.observer; formerly Tracking Exposed
refined-LO.csv
Type Table, then Shift-Enter. Ctrl-space for more options.
alldata = FileAttachment("refined-LO.csv").csv({ typed: true })
counted= _.countBy(alldata, 'videoId');
ordered = _.orderBy(_.map(counted, function(amount, videoId) {
return {
videoId: _.parseInt(videoId),
amount
}
}), "amount", "desc");
topvideodata = _.reject(_.filter(alldata, { videoId: topvideo.videoId}), { likes: 0})
tenthvidata = _.reject(_.filter(alldata, { videoId: tenthvideo.videoId}), { likes: 0})
recentvideos = _.reject(alldata, (o) => { return _.lte(o.createTime, new Date("2023-03-09"))})
Plot.auto(meaningful, { x: "amount" }).plot()
selected = _.filter(alldata, (o) => { return !!_.find(meaningful, {videoId: o.videoId})})
Below research in progress
height = 400
x = d3
.scaleLinear()
.domain(d3.extent(selected, (d) => d.likes))
.nice()
.range([margin.left, width - margin.right])
y = d3
.scaleLinear()
.domain(d3.extent(selected, (d) => d.order))
.nice()
.range([height - margin.bottom, margin.top])
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x))
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y))
margin = ({top: 25, right: 20, bottom: 35, left: 40})
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.
