import {Wrangler, op} from "@observablehq/data-wrangler"
import {data_row} from "f11b0e4410b4125c"
data_row
Wrangler(data_row)
aq.from(data_row)
.orderby(aq.desc("temperature"))
.derive({temperatureNum:d=>+d.temperature})
.filter(d=>d["temperatureNum"]<64.6)
.filter(d=>d["temperatureNum"]>60.9)
.derive({temperatureinCelsius:d=>(d.temperatureNum-32)*5/9})
.select('date','temperatureNum','temperatureinCelsius')
.rename({temperatureNum:"temperatureinFahrenheit"})
.objects()
import {imageToDo} from "@clokman/student-blocks"
imageToDo
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.
