The avatar for @je2538
Jad El Harake
PhD Student at the UEIL
Published
Edited
May 10, 2022
Fork of Bouncing Back? Where NYC Subway Riders Have Returned and Where They Haven't.
5 stars
2
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chart3 = LineChart(new Map([...graph_datax, ...graph_datay]), {
x: d => (new Date(d[1].date) > new Date("2020-03-24")) ? new Date(d[1].date) : undefined,
y: d => d[1].percent,
z: d => d[1].station ? d[1].station : d[1].line + " Line Stations",
yLabel: "Which Stations Are Bouncing Back? % Traffic Compared to Pre-Pandemic",
height: 500,
width: 1000,
color: d=> diffsfilteredx.find(x => x.station == d) ? "orange" : "steelblue",
yDomain: [0, 200],
xDomain: [new Date("2020-03-20"), new Date("2022-05-14")]
})
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stationList = final_diffs.filter(function(v) { return v.station})
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percentiles = [
{name: "Top 2% Busiest Stations", range:[d3.quantile(bussiness,0.98),d3.quantile(bussiness,1),d3.quantile(changes,0), d3.quantile(changes,1)]},
{name: "Bottom 2% Least Busy Stations", range: [d3.quantile(bussiness,0) ,d3.quantile(bussiness,0.02),d3.quantile(changes,0), d3.quantile(changes,1)]},
{name: "Top 2% Most Recovered Stations", range: [d3.quantile(bussiness,0) ,d3.quantile(bussiness,1),d3.quantile(changes,0.98), d3.quantile(changes,1)]},
{name: "Bottom 2% Least Recovered Stations", range: [d3.quantile(bussiness,0) ,d3.quantile(bussiness,1),d3.quantile(changes,0), d3.quantile(changes,0.02)]},
{name: "All Lines", range: [d3.quantile(bussiness,0) ,d3.quantile(bussiness,1),d3.quantile(changes,0), d3.quantile(changes,1)]}
]
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diffsfilteredx=final_diffs.filter(function(v) { return v.total >= percentilex.range[0] && v.total <= percentilex.range[1] && v.percent >= percentilex.range[2] && v.percent <= percentilex.range[3]})
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diffsfilteredy=final_diffs_blue.filter(function(v) { return v.total >= percentiley.range[0] && v.total <= percentiley.range[1] && v.percent >= percentiley.range[2] && v.percent <= percentiley.range[3]})
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graph_datax=new Map([...graph_data].filter(([a, b])=> diffsfilteredx.find(x => x.station == b.station)))
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graph_datay=new Map([...graph_data].filter(([a, b])=> diffsfilteredy.find(x => x.station == b.station)))
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