Senior Data Scientist, MassMutual
Lecturer, UC Berkeley MIDS
--
PhD Applied Math, Computational Story Lab, UVM
MS Applied Math, UVM
BS Math, Virginia Tech
wordshift = {
const div = d3.create("div");
const shift = shifterator.shifterator().debug()
.setWidth(400)
.setselection(div)
._refF(refF)
._compF(compF)
._lens(lens)
._words(words)
._stoprange(stopRange)
.stop()
// this has to be set before the shift operation
.plotdist(false)
.shifter()
.setText([
"Saturday, November 7, 2020",
"The 2020 Presidential election race called with Joe Biden the President-elect.",
"Average happiness: 5.96",
"What's making this day happier than the last seven days:",
])
.plot();
return div.node();
}
stopRange = [4, 6]
compF = (await d3_v7.text("https://hedonometer.org/data/storywrangler_en_all/word-vectors/2020-11-07-sum.csv").then(d => d3_v7.csvParseRows(d))).map(d => +d[0])
refF = (await d3_v7.text("https://hedonometer.org/data/storywrangler_en_all/word-vectors/2020-11-07-prev7.csv").then(d => d3_v7.csvParseRows(d))).map(d => +d[0])
words = labMT.map(d => d.word).concat(labMT.map(d => '#' + d.word))
lens = labMT.map(d => +d.happs).concat(labMT.map(d => +d.happs))
labMT = (await d3_v7.json("https://hedonometer.org/api/v1/words/?format=json&wordlist__title=labMT-en-v2&limit=100000").then(d => d.objects)).sort((a, b) => d3_v7.ascending(a.rank, b.rank))
d3_v7 = require("d3@7")
shifterator.functionThatDependsOnD3()
shifterator = import('https://unpkg.com/@andyreagan/d3-shifterator@4.0.10?module')
// shifterator = require('@andyreagan/d3-shifterator@4.0.10')
d3.version
d3 = require("d3@4.13.0")
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