Published
Edited
Apr 13, 2020
Importers
{
const date = d3.timeFormat("%e %b %Y %H:%M (" + hours + "-hour window)")(new Date(t));
d3.select(pirep).select("text").text(date)
return date
}
times = d3.range(extent[0], extent[1], 3 * 60 * 60 * 1000).map(d => new Date(d))
pireps = {
// This cell returns an Array of time-filtered PIREPS data
// let t0 = Math.floor(scl(map[0]));
const t0 = t.valueOf();
const t1 = t0.valueOf() + hours * 3600000 // Add "hours" offset
let pireps = csv.filter(d => (d.t > t0) && (d.t < t1))
.map(d => [d.LON, d.LAT, d.TURBULENCE, d.color, d.REPORT]);
return pireps;
}
extent = d3.extent(csv.map(d => d.t))
scl = d3.scaleLinear().domain([0, width]).range(d3.extent(csv, d => d.t))
mutable z = "Mouse over map for pilot reports"
pirep = {
const mysvg = svg`<svg
width=960
height=600
viewBox="0,0,960,600"
style="max-width:100%;height:auto;position:absolute;top:0;left:0">`
d3.timeFormat("%e %b %Y %H:%M:%S GMT (" + hours + " hours)")(new Date(t0));
// Add the text label
d3.select(mysvg).append("text")
.attr("x", 960 / 2)
.attr("dx", "5rem")
.attr("y", "2rem")
.attr("font-family", "sans-serif")
.attr("font-size", "2rem")
.attr("text-anchor", "middle")
.style("user-select", "none")
.text(d3.timeFormat("%e %b %Y %H:%M:%S GMT (" + hours + " hours)")(t0));
d3.select(mysvg).selectAll("path")
.data(pireps)
.join("path")
.classed('pirep', true)
.sort((a,b) => (a[3] > b[3]) ? 1 : -1)
.attr("x", (d, i) => i * 16)
.attr("d", d => path({"type": "Point", "coordinates": d}))
.attr('fill', d => colors[d[3]])
.on('mouseover', function(d) { mutable z = d[4]; d3.select(this).attr('stroke', 'black') })
.on('mouseout', function() { mutable z = ""; d3.select(this).attr('stroke', null) })
return mysvg;
}
colors = ["lightgray", "orange", "red"]
csv = {
let csv = d3.csvParse(await FileAttachment("pireps-2020.csv").text(), d3.autoType);
// Remove rows that have no TURBULENCE info
csv = csv.filter(d => (d.REPORT.includes("UUA") || (d.TURBULENCE)));
// Add time in milliseconds since epoch
const specifier = "%Y-%m-%d %H:%M:%S";
const timeParse = d3.timeParse(specifier);
csv.forEach(d => d.t = timeParse(d.VALID).getTime());
// Add color based on turbulence intensity
csv.forEach(d => {
d.color = 0;
d.color = (d.TURBULENCE) && d.TURBULENCE.includes("MOD") ? 1 : d.color;
d.color = (d.TURBULENCE) && d.TURBULENCE.includes("EXT") ? 2 : d.color;
d.color = d.REPORT.includes("UUA") ? 2 : d.color;
})
return csv;
}
path = d3.geoPath(projection);
import {chart, projection, d3} from "@pbogden/zip-codes"
import {Scrubber} from "@mbostock/scrubber"
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.