Published
Edited
Apr 30, 2020
average_value = good_rows.reduce((a, c) => a + c[2], 0) / good_rows.length
min_value = good_rows.reduce((a, c) => Math.min(a, c[2]), good_rows[0][2])
max_value = good_rows.reduce((a, c) => Math.max(a, c[2]), good_rows[0][2])
std_dev = Math.sqrt(
good_rows.reduce((a, c) => a + Math.pow(c[2] - average_value, 2), 0) /
good_rows.length
)
centered_rows = good_rows.map(r => {
r[2] = (r[2] - min_value) / (max_value - min_value);
return r;
})
centered_min = Math.min(...centered_rows.map(v => v[2]))
centered_max = Math.max(...centered_rows.map(v => v[2]))
centered_mean = centered_rows.reduce((a, c) => a + c[2], 0) /
centered_rows.length
forecast_data = await FileAttachment("all.data@3.json").json()
forecast_cells = (await FileAttachment("apparent.temp.csv").text())
.split(/\n/)
.filter(v => v != '')
.map(v => v.split(/,/))
h3 = require('h3-js')
L = require('leaflet@1.2.0')
html`<link href='${resolve(
'leaflet@1.2.0/dist/leaflet.css'
)}' rel='stylesheet' /><style>
.legend {
line-height: 18px;
color: #555;
border: 1px solid #000000;
border-radius: 4px;
padding: 8px;
background: rgba(255,255,255,0.8);
}
.legend i {
width: 18px;
height: 18px;
float: left;
margin-right: 8px;
opacity: 0.7;
}</style>`
import { slider } from "@jashkenas/inputs"
d3 = require("d3@5")
margin = ({ top: 20, right: 20, bottom: 30, left: 40 })
y = d3.scaleLinear()
.domain([0, d3.max(bins, d => d.length)]).nice()
.range([height - margin.bottom, margin.top])
data = centered_rows.map(r => r[2])
x = d3
.scaleLinear()
.domain(d3.extent(data))
.nice()
.range([margin.left, width - margin.right])
bins = d3
.histogram()
.domain(x.domain())
.thresholds(x.ticks(40))(data)
height = 300
yAxis = g =>
g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y).ticks(height / 40))
.call(g => g.select(".domain").remove())
.call(g =>
g
.select(".tick:last-of-type text")
.clone()
.attr("x", 4)
.attr("text-anchor", "start")
.attr("font-weight", "bold")
.text(data.y)
)
xAxis = g =>
g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(
d3
.axisBottom(x)
.ticks(width / 80)
.tickSizeOuter(0)
)
.call(g =>
g
.append("text")
.attr("x", width - margin.right)
.attr("y", -4)
.attr("fill", "currentColor")
.attr("font-weight", "bold")
.attr("text-anchor", "end")
.text(data.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.
