MBA Candidate at Columbia, Software Engineer, Former Managing Web Editor @ The Michigan Daily. Building things I can see.
Published
Edited
Mar 1, 2022
1 fork
5 stars
titleLines = [
['The "Big 3"', 'black'],
['Roger Federer (20 Major Wins, 46 Semifinals)', playerScale('RF')],
['Rafael Nadal (19, 33)', playerScale('RN')],
['Novak Djokovic (17, 37)', playerScale('ND')]
]
legendLabels = [
["Nadal in Semis", width / 2 + 160, headerHeight / 2 + 50],
["Federer in Semis", width / 2 + 170, headerHeight / 2 - 33],
["Djokovic not in Semis", width / 2 - 40, headerHeight / 2 - 33],
["Champion Color", width / 2 - 34, headerHeight / 2 + 33]
]
legendLines = [
[width / 2 + 40, 20, width / 2 + 90, 40],
[width / 2 + 175, 20, width / 2 + 125, 40],
[width / 2 + 170, 90, width / 2 + 120, 70],
[width / 2 + 50, 80, width / 2 + 100, 90]
]
getSemiColors({ RN: 'SF', RF: 'SF', ND: 'NA' })
getSemiColors = d =>
Object.entries(d)
.slice(2)
.map(p =>
["SF", "F", "W"].includes(p[1]) ? playerScale(p[0]) : 'lightgray'
)
getWinnerColor = row => {
const winner = Object.entries(row).filter(e => e[1] === "W")[0];
return winner ? playerScale(winner[0]) : 'lightgray';
}
arc = d3
.arc()
.innerRadius(0)
.outerRadius(yearScale.bandwidth() / 2 - 10)
pie = d3
.pie()
.sort(null)
.value(1)
playerScale = d3.scaleOrdinal(d3.schemeTableau10)
yearAxis = g =>
g
.attr("transform", `translate(0,${height - margin.bottom + headerHeight})`)
.call(
d3
.axisBottom(yearScale)
.tickFormat(i => i)
.tickSizeInner(0)
.tickSizeOuter(0)
)
.call(g => g.select(".domain").remove())
.call(g =>
g
.selectAll("text")
.attr("font-weight", "bold")
.attr("font-size", 14)
)
yearScale = d3
.scaleBand()
.domain(years)
.range([margin.left, width - margin.right])
eventAxis = g =>
g
.attr("transform", `translate(${margin.left},-40)`)
.call(
d3
.axisRight(eventScale)
.tickFormat(i => i)
.tickSizeInner(0)
.tickSizeOuter(0)
)
.call(g => g.select(".domain").remove())
.call(g =>
g
.selectAll("text")
.attr("font-weight", "bold")
.attr("font-size", 14)
)
eventScale = d3
.scaleBand()
.domain(events)
.range([margin.top + headerHeight, height - margin.bottom + headerHeight])
margin = ({ top: 30, right: 0, bottom: 30, left: 10 })
headerHeight = 100
height = 400
width = 960
events = data.slice(0, 4).map(d => d.event)
years = [...new Set(data.map(d => d.year))]
cancelledOrPostponed = [
{ year: 2020, event: "French Open", status: "Postponed" },
{ year: 2020, event: "Wimbledon", status: "Cancelled" }
]
data = {
const roger = await FileAttachment("roger.csv").csv();
const nadal = await FileAttachment("nadal.csv").csv();
const novak = await FileAttachment("novak.csv").csv();
const rawData = [roger, nadal, novak].map(p =>
p.map(({ season, name: event, result }) => ({
season: +season,
event: event === "Roland Garros" ? "French Open" : event,
result
}))
);
const years = [...new Set(rawData[0].map(d => d.season))].reverse().slice(4);
const eventOrder = ["Australian Open", "French Open", "Wimbledon", "US Open"];
const data = [];
years.forEach(year => {
eventOrder.forEach(event => {
const row = { year, event };
rawData.forEach((player, i) => {
const resultRow = player.filter(
d => d.season === year && d.event == event
)[0];
const result = resultRow != null ? resultRow.result : "NA";
row[['RF', 'RN', 'ND'][i]] = result;
});
data.push(row);
});
});
return data;
}
import { swatches } from "@d3/color-legend"
d3 = require('d3')
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