Serial learner and pathological sharer.
Public
Edited
Oct 5, 2023
parquetUrlLnx='https://data.frankcontrepois.com/FinOpsGuyAwsPricingElaboratedData/ec2_gen_lnx_na_prices.parquet'
import {getDataTable} from "e03341dd9f766336"
dtLinuxRaw = getDataTable(parquetUrlLnx)
dtLinux = dtLinuxRaw.derive({
ncpu: d => +d.vcpu,
price: d => +d.priceperunit,
})
.filter(d => d.normalization_size_factor >= 0)
.reify()
dtLinux
Type Table, then Shift-Enter. Ctrl-space for more options.
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.
