Published
Edited
May 14, 2021
Importers
PDPprofile = d3.map(d3.range(6), d => ({
delay: PDP.delay[d],
power: PDP.power[d]
}))
d3.sum(TapPower)
d3.max(d3.cumsum(TapPower, d => d))
newpower.length
["3", "4"].Complex()
cir = vl
.hconcat(
stemcsv(channel, "tau", "h").title("Speed @ 30kmph"),
stemcsv(channel130, "tau", "h").title("Speed @ 130kmph")
)
.title("50 Channel Samples at every 66.67uSec")
.render()
projectionUSA([hexdata[0].lng, hexdata[0].lat])
projectionUSA([-122.4183, 37.7750])
borderpath = d3.geoPath(projectionUSA)
ap = d3.csv(
"https://raw.githubusercontent.com/5gindia/ruralindia/master/arunachal_gp.csv",
d3.autoType
)
ap2pos = d3.csv(
"https://raw.githubusercontent.com/5gindia/ruralindia/master/arunachal_pos.csv",
d3.autoType
)
indiastates = FileAttachment("states_india.geojson").json()
(allstatesofIndia.features[allstatesofIndia.features.length] =
maharastra.features[0])
//allstatesofIndia = FileAttachment("allstates_india.geojson").json()
maharastra = FileAttachment("maharastra.geojson").json()
render(mapSVG)
projectionUSA = d3.geoAlbersUsa().fitSize([width, height], selstate[0])
indiacenter = [78.497328, 22.583729]
[d3.extent(pos.map(d => d.X)), d3.extent(pos.map(d => d.Y))]
yscale(-39)
xscale = {
const scale = d3
.scaleLinear()
.domain(d3.extent(pos.map(d => d.X)))
.range([0, width]);
return scale;
}
yscale = {
const scale = d3
.scaleLinear()
.domain(d3.extent(pos.map(d => d.Y)))
.range([height - 50, 50]);
return scale;
}
d3.extent(pos.map(d => d.X))
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
