Published
Edited
May 8, 2019
Insert cell
md`# summary statistics by universities`
Insert cell
z = require('https://bundle.run/zebras@0.0.11')
Insert cell
vegalite = require("@observablehq/vega-lite@0.1")
Insert cell
d3 = require("d3-fetch@1")
Insert cell
d3v4 = require("d3@4")
Insert cell
inflowData=d3.csv("https://gist.githubusercontent.com/ycfan14/ec535938a24f11054d0e3dffee9feeb6/raw/9c6f2d2df925a6e9ea17c63e8544e4d8d70cfaf1/gistfile1.txt")
Insert cell
outflowData=d3.csv("https://gist.githubusercontent.com/ycfan14/951a95637916e7f3f84f2abfb4e5f369/raw/1ce84c367984a9d7dacbec04b02e76eb66114c14/gistfile1.txthttps://gist.githubusercontent.com/ycfan14/951a95637916e7f3f84f2abfb4e5f369/raw/1ce84c367984a9d7dacbec04b02e76eb66114c14/gistfile1.txt")
Insert cell
yearList={
var tem= z.unique(z.getCol("year",InflowParse))
return tem
}
Insert cell
InflowParse={
var InflowParse=inflowData
for (var i=1; i<=20;i++){
var variable=inflowData.columns[i]
InflowParse=z.dropCol("BERKELEY", z.parseNums(variable, InflowParse))
}
return InflowParse
}
Insert cell
OutflowParse={
var OutflowParse=outflowData
for (var i=1; i<=21;i++){
var variable=outflowData.columns[i]
OutflowParse=z.dropCol("BERKELEY", z.parseNums(variable, OutflowParse))
}
return OutflowParse
}
Insert cell
InflowReshape={
var reshape=[]
for (var j=1;j<=21;j++){
for (var i=0; i<=6;i++){
var variable=inflowData.columns[j]
reshape.push({"University":variable, "year":yearList[i],"number":InflowParse[i][variable]})
}
}
var reshape2=z.filter(r=>r.University!="BERKELEY", reshape)
return reshape2
}
Insert cell
OutflowReshape={
var reshape=[]
for (var j=1;j<=21;j++){
for (var i=0; i<=6;i++){
var variable=outflowData.columns[j]
reshape.push({"University":variable, "year":yearList[i],"number":OutflowParse[i][variable]})
}
}
var reshape2=z.filter(r=>r.University!="BERKELEY", reshape)
return reshape2
}
Insert cell
selectedData = {
switch (chartType) {
case "Inflow": return InflowReshape
case "Outflow": return OutflowReshape
}
}
Insert cell
Insert cell
vegalite({
$schema: "https://vega.github.io/schema/vega-lite/v3.json",
width: 400,
height: 400,
title: "Talents Inflow",
data: {values: selectedData},
mark: {type: "line", tooltip: {"content": "data"}},
encoding: {
x: {field: "year", type: "temporal",
axis: {title: "Year",tickWidth: 5}},
y: {field: "number", type: "quantitative",
axis: {title: "Number of talents migrating"}} ,
color: {field: "University", type: "nominal"}
}
})
Insert cell
Insert cell
embed = require("vega-embed@3")
Insert cell
Insert cell
d3_5 = require("d3@5")
Insert cell

One platform to build and deploy the best data apps

Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.
Learn more