Principal Web Developer at Freedom of the Press Foundation
Published
Edited
Aug 18, 2022
1 star
cleanedData = variantData
.map(d => {
return {
date: d3.utcDay.ceil(d.week_ending),
modelType: d.modeltype,
variant: d.variant,
region: d.usa_or_hhsregion,
ciLow: d.share_low,
ciHigh: d.share_hi,
share: d.share,
}
})
joinedData = cleanedData
// Sort descending by creation date. This will help us filter later
.sort((a, b) => b.creationDate - a.creationDate)
.filter((d, i, arr) => {
// Filter to the Northeast
if (d.region !== 1) return false
// Filter to variants with a non-zero share
if (d.share === 0) return false
return true
})
.filter((d, i, arr) => {
// if there's an earlier (i.e., with a later creation date) entry for the same date
// and variant, discard this one
if (
arr.slice(0, i).find(f => d3.timeDay.count(f.date, d.date) === 0 && f.variant === d.variant)
) return false
// Otherwise, we're good!
return true
})
// Join to wastewater data
.map(vd => {
const w = wastewaterData.find(wd => d3.timeDay.count(wd.date, vd.date) === 0 && wd.system === wastewaterSystem)
return {
...vd,
...w,
}
})
// Sort by date
.sort((a, b) => a.date - b.date)
// Filter to after start date
.filter(d => d3.utcDay.count(startDate, d.date) > 0)
// Filter to dates we have wastewater data for
.filter(d => !!d.concentration)
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