Published unlisted
Edited
Oct 18, 2021
// text = d3.text(url) // this returns a string
d3.csv(url) // No auto typing -- notice that the CSV is parsed and values are strings (double quotes).
data = d3.csv(url, d3.autoType) // With d3.autoType -- types seem to have been guessed correctly
dataParsed = d3.csv(url, d3.autoType)
typeof data[0].date
data2 = {
const text = await d3.text(url);
const parseDate = d3.utcParse("%Y-%m-%d");
const data = d3.csvParse(text, ({Date, Open}) => ({
date: parseDate(Date), // This uses d3.
open: +Open // The leading "+" coerces the string to a number
})); // You could remove .columns by with .splice()
delete data.columns; // remove .columns created by d3-csv, it has original keys and confuses Inputs.table()
return data;
}
Plot.plot({
marginLeft: 70,
y: {
grid: true,
label: "Yearly average"
},
marks: [
Plot.line(data, Plot.windowY({x: "Date",
y: d => (d.Close - d.Open) / d.Open,
k: 252})),
]
})
Plot.plot({
y: {
grid: true,
},
marks: [
Plot.line(data, Plot.windowY({x: "Date",
y: d => d.Close,
k: 252,
reduce: "mean"})),
]
})
Plot.plot({
y: {
grid: true,
},
marks: [
Plot.line(data, {x: "Date", y: "Close"}),
]
})
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