Public
Edited
May 15
portfolioData = d3.csv("https://docs.google.com/spreadsheets/d/e/2PACX-1vQSz2gGUW3Sgq0hrcpaKM3ToNgEGImWgwJthfp3b9OUmxiEcEN6kMZygz1HZuq1cbbPcxcWXGUicurY/pub?gid=0&single=true&output=csv")
render({
mark: "arc",
data: { values: portfolioData },
transform: [
{ calculate: "datum.Shares*datum.Price", as: "Total Value" }
],
encoding: {
row: { field: "Date", type: "T" },
column: { field: "Investor", type: "N" },
color: { field: "Symbol", type: "N" },
theta: { field: "Total Value", type: "Q" },
tooltip: [
{ field: "Symbol", type: "N" },
{ field: "Price", type: "Q" },
{ field: "Shares", type: "Q" },
{ field: "Total Value", type: "Q" }
]
},
width: 150,
height: 200
})
render({
mark: "bar",
data: { values: portfolioData },
transform: [
{ calculate: "datum.Shares * datum.Price", as: "Total Value" }
],
encoding: {
x: { field: "Investor", type: "N" },
y: { aggregate: "sum", field: "Total Value", type: "Q" },
color: { field: "Symbol", type: "N" },
tooltip: [
{ field: "Symbol", type: "N" },
{ field: "Price", type: "Q" },
{ field: "Shares", type: "Q" },
{ field: "Total Value", type: "Q" }
]
}
})
render({
mark: { type: "line", point: true },
data: { values: portfolioData },
transform: [
{ calculate: "datum.Shares * datum.Price", as: "Total Value" }
],
encoding: {
x: { field: "Date", type: "T" },
y: { aggregate: "sum", field: "Total Value", type: "Q" },
column: { field: "Investor", type: "N" },
tooltip: [
{ field: "Date", type: "T" },
{ aggregate: "sum", field: "Total Value", type: "Q" }
],
},
width: 190,
height: 200
})
vl.markLine({point: true})
.data(portfolioData)
.transform(vl.calculate("datum.Shares * datum.Price").as("Total Value"))
.encode(
vl.x().fieldT("Date"),
vl.y().fieldQ("Total Value"),
vl.tooltip(["Date:T", "Total Value:Q"]),
vl.facet().fieldN("Investor").columns(4)
)
.width(200)
.height(200)
.render()
// write the code for your revised visualization here
// or add a screenshot in a new cell
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