After 15 year in high performance computing and computational biology, I joined OCTO Technology, a blasting consulting firm in Lausanne (www.octo.ch).
timetable = loadTimetable(
'https://raw.githubusercontent.com/alexmasselot/swiss-transport-data/master/data/dt-timetable.tsv'
)
metadata = d3.json(
'https://raw.githubusercontent.com/alexmasselot/swiss-transport-data/master/data/metadata.json'
)
timetableFiltered = _.chain(timetable)
.filter((r) => r.h_departure_time > 7*60 && r.next_h_arrival_time < 10.5*60)
.filter((r) => r.trip_description === selectedDirection)
.filter((r) => r.day_type === selectedDayType)
.sortBy('frequency')
.value()
scales = (timetable, stations) => {
return {
time2x: d3.scaleLinear()
.range([
dimensions.margins.left,
dimensions.overall.width - dimensions.margins.right
])
.domain([
_.chain(timetable).map('h_departure_time').min().value(),
_.chain(timetable).map('next_h_arrival_time').max().value()
]),
distance2y: d3.scaleLinear()
.range([
dimensions.overall.height-dimensions.margins.bottom,
dimensions.margins.top
])
.domain([
0,
_.chain(stations).map('tripDistance').max().value()
])
}
}
uniqueStations = _.chain(timetable)
.map((tt)=>[
{stationName: tt.station_name, tripDistance: tt.trip_distance},
{stationName: tt.next_station_name, tripDistance: tt.next_trip_distance},
])
.flatMap()
.uniqBy('stationName')
.value()
addAxes = (svg, scales, stations) => {
svg.selectAll('g.axis').remove()
// x axis for time
svg.append("g")
.classed('axis', true)
.attr("transform", 'translate(0, ' + (dimensions.overall.height - dimensions.margins.bottom) + ')')
.call(d3.axisBottom(scales.time2x)
.tickFormat((v) => {
// format tim ein minutes into a readable form (8h, 8:05, 8:40)
let m = v%60;
let h = Math.floor(v/60);
if(m === 0){
return h+'h';
}else{
return h+':'+d3.format('02')(m);
}
})
);
//y axis (distance), where labels actually are the city names
svg.append("g")
.classed('axis', true)
.attr("transform", 'translate(' + dimensions.margins.left + ', 0)')
.call(d3.axisLeft(scales.distance2y)
.tickValues(_.map(stations, 'tripDistance'))
.tickFormat((undefined, i) => stations[i].stationName)
)
return 'Adding axis ticks and labels'
}
addAxes(svg, scales(timetableFiltered, uniqueStations), uniqueStations)
{
//just define x & y as shortcut to the scaling function, in order to have shorter syntax below
let x = scales(timetableFiltered, uniqueStations).time2x
let y = scales(timetableFiltered, uniqueStations).distance2y
svg.selectAll('path.segment').remove()
svg.selectAll('path.segment')
.data(timetableFiltered)
.enter()
.append('path')
.classed('segment',true)
.attr('d', (tt) =>
'M' + x(tt.h_departure_time) + ', ' + y(tt.trip_distance) +
' L' + x(tt.next_h_arrival_time) + ', ' + y(tt.next_trip_distance)
)
.style('opacity', (tt) => tt.frequency)
.style('stroke', 'black')
.style('stroke-width', 2)
.exit()
.remove();
return 'Adding segment between stations'
}
{
const color=(delay)=>{
if(delay <= -1){
return '#756bb1'
}
if(delay <= 1){
return '#3182bd'
}
if(delay <= 3){
return '#fec44f'
}
return '#d95f0e'
}
//just define x & y as shortcut to the scaling function, in order to have shorter syntax below
let x = scales(timetableFiltered, uniqueStations).time2x
let y = scales(timetableFiltered, uniqueStations).distance2y
svg.selectAll('circle.station').remove()
svg.selectAll('circle.station')
.data(timetableFiltered)
.enter()
.append('circle')
.classed('station',true)
.attr('cx', (tt) => x(tt.next_h_arrival_time))
.attr('cy', (tt) => y(tt.next_trip_distance))
.attr('r', 6)
.style('opacity', (tt) => tt.frequency)
.style('fill', (tt) => color(tt.q80_next_delta_arrival_min))
return 'Adding circles on stations, colored by the median delay on the 80% quantile'
}
import {d3, moment, _, loadTimetable, newSVG, dimensions} from "@alexmasselot/marey-like-timetable-commons"
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