London based data visualiser.
Published
Edited
Dec 3, 2020
driverId = 30;
plotCareerResults = (parent, data)=>{
const blockHeight = 6;
const blockWidth = 3;
const stacked = data.results.reduce((acc, current)=>{
if(acc.accumulator[current.position]==undefined){
acc.accumulator[current.position] = 0;
}else{
acc.accumulator[current.position] += 1;
}
current.stackHeight = acc.accumulator[current.position];
acc.stacked.push(current)
return acc
}, {
stacked:[],
accumulator:{}
}).stacked;
const group = parent.append('g')
.attr('transform',`translate(${data.margin.left},${data.margin.top+7})`)
group.append('line')
.attr('x1', data.margin.left)
.attr('y1', data.mean*blockHeight)
.attr('x2', data.width - data.margin.right)
.attr('y2', data.mean*blockHeight)
.attr('stroke','rgb(0,0,0)')
group.append('line')
.attr('x1', data.margin.left)
.attr('y1', data.circuitStats.mean*blockHeight)
.attr('x2', data.width - data.margin.right)
.attr('y2', data.circuitStats.mean*blockHeight)
.attr('stroke', 'rgb(255,0,0)')
group.selectAll('rect')
.data(stacked)
.enter()
.append('rect')
.attr('x', d => d.stackHeight*(blockWidth+1))
.attr('y', d => d.position*(blockHeight +1))
.attr('width', blockWidth)
.attr('height', blockHeight)
.attr('fill', d => {
if(d.circuitId == data.circuit){ return 'rgb(255, 0, 0)'; }
return 'rgb(200, 200, 200)';
});
}
chart = {
const width = 1000;
const height = 2450;
const margin = {bottom:20, top:20, left:0, right:0};
const subPlotHeight = 200;
const subPlotWidth = 300;
const subPlotRow = Math.floor(width/subPlotWidth);
const svg = d3.select(DOM.svg(width, height));
svg.selectAll('g.segment')
.data(Object.keys(segmentedStats))
.enter()
.append('g')
.attr('class','segment')
.attr('transform', (d,i)=>`translate(${i%subPlotRow * subPlotWidth}, ${Math.floor(i/subPlotRow) * subPlotHeight})`)
.each(function(d, i){
const parent = d3.select(this);
const circuitName = circuitLookup[d].name;
parent.append('text')
.attr('dy', margin.top)
.text(circuitName);
parent.call(plotCareerResults, {
results: driverCareer.results,
mean: overallSummary.mean,
median: overallSummary.median,
deviation: overallSummary.deviation,
width: subPlotWidth,
height: subPlotHeight - (margin.bottom + margin.top),
circuit: d,
circuitStats: segmentedStats[d],
margin
})
//add the general career plot
//add the distribution for this course
});
return svg.node(); //to add the chart to the page the block should return its node
}
import {
races,
drivers,
results,
circuits,
qualifying,
circuitLookup,
driverLookup,
raceLookup }
from '@tomgp/f1-data'
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