Published
Edited
Jan 19, 2021
ifsc_results_text = FileAttachment("combined_results.csv").text()
ifsc_results = d3.csvParse(await ifsc_results_text)
table(ifsc_results)
md`On a ${ifsc_results.length} lignes et ${ifsc_results.columns.length} colonnes.`
{
var parseTime = d3.timeParse("%d %B %Y")
ifsc_results.forEach((d, index) => {
// Turn any "" to null
Object.keys(d).forEach(k => {
d[k] = d[k] === "" ? null : d[k]
})
// Date splitting and d3 formatting
if (/^[0-9]{1,2} [a-zA-Z]+ [0-9]{4}$/g.test(d["Competition Date"])) {
//e.g. 24 February 2001
d["Competition Date Stop"] = d["Competition Date Start"] = parseTime(d["Competition Date"])
}
else if (/^[0-9]{1,2} +- +[0-9]{1,2} +[a-zA-Z]+ +[0-9]{4}$/g.test(d["Competition Date"])) {
//e.g. 24 - 26 February 2001
let d_d_MY = /([0-9]{1,2}) +- +([0-9]{1,2}) +([a-zA-Z]+) +([0-9]{4})/g.exec(d["Competition Date"])
d["Competition Date Start"] = parseTime([d_d_MY[1], d_d_MY[3], d_d_MY[4]].join(' '))
d["Competition Date Stop"] = parseTime([d_d_MY[2], d_d_MY[3], d_d_MY[4]].join(' '))
}
else {
throw(Error(`Unhadled date at row ${index}`))
}
// Rank : String to int
d.Rank = d.Rank === null ? null : parseInt(d.Rank, 10)
// Points : String to Float
d.Points = d.Points === null ? null : parseFloat(d.Points)
// Final Points : String to Float
d["Final Points"] = d["Final Points"] === null ? null : parseFloat(d["Final Points"])
})
// Delete original date column
delete ifsc_results["Competition Date"] // NOTE : Not working but ... normal ?
}
ifsc_results_autotyped = d3.csvParse(ifsc_results_text, d3.autoType)
table(ifsc_results_autotyped)
ifsc_results.columns
competitions_titles = new Set(ifsc_results.map(d => d["Competition Title"]))
competitors_names = new Set(ifsc_results.map(d => d["FIRST"] + " " + d["LAST"]))
competitor_by_country = d3.group(ifsc_results, d => d.Nation)
finalists_average_quali_points = d3.mean(ifsc_results.filter(d => d["Final Points"] != null), d => (d.Points))
nb_of_competitors_by_country = d3.rollups(ifsc_results, v => v.length, d => d.Nation).map(d => {
return {Nation: d[0], "Nb of competitors": d[1]}
})
non_finalists_average_quali_points = d3.mean(ifsc_results.filter(d => d["Final Points"] === null), d => (d.Points))
vl.markPoint()
.data(d3.csvParse(await ifsc_results_text))
.encode(
vl.y().fieldN("Competition Title"),
vl.x().fieldQ("Final Points")
)
.render()
vl.markBar()
.data(nb_of_competitors_by_country)
.encode(
vl.x().fieldN("Nation"),
vl.y().fieldQ("Nb of competitors")
)
.render()
// Code marginalement adapté de https://observablehq.com/d/4b6b426ae7d964e8
scatterplot = (dataset, var_x, var_y, var_color, w, h) => {
const width = w
const height = h
const svg = d3.create("svg").attr("width", width + 100).attr("height", height + 100)
const g = svg.append("g").attr("transform", "translate(10, 20)")
const x = d3.scaleLinear().domain([0, d3.max(dataset, d => d[var_x])]).range([0, width])
const y = d3.scaleLinear().domain([d3.max(dataset, d => d[var_y]), 0]).range([0, height])
const c = d3.scaleOrdinal(d3.schemeCategory10).domain(d3.map(dataset, d => d[var_color]))
const yAxis = g => g
.attr("transform", `translate(35, 10)`)
.call(d3.axisLeft(y))
const xAxis = g => g
.attr("transform", `translate(35, ${height + 10})`)
.call(d3.axisBottom(x))
const rect = g.selectAll("circle")
.data(dataset)
.enter()
.append("circle")
.attr("cx", d => x(d[var_x]))
.attr("cy", d => y(d[var_y]))
.attr("r", 3)
.attr("transform", `translate(35,10)`)
.style("fill", d => c(d[var_color]))
g.append("g")
.call(yAxis);
g.append("g")
.call(xAxis);
return svg.node()
}
scatterplot(ifsc_results, x, y, "Competition Title", 600, 600)
viewof x = html`
<select>
${
ifsc_results.columns.map(d => {
return "<option" + (d === "Rank"?" selected=\"selected\"":"") + ">" + d + "</option>"
})
}
</select>
`
viewof y = html`
<select>
${
ifsc_results.columns.map(d => {
return "<option" + (d === "Points"?" selected=\"selected\"":"") + ">" + d + "</option>"
})
}
</select>
`
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