Public
Edited
Apr 7, 2024
Teletherapy Usage Ceilings per CountryWhich countries are the most depressed?Which countries are highly depressed and cheap to operate in?Which countries are more depressed than they are dissatisfied?Where is all the depression?Average Life Satisfaction per CountryCumulative distribution of global wellbeing
How many psychiatrists are there in each country?
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plot = Plot.plot({
caption:
"Data was reported by WHO member states between 2013–2017. Data from the WHO Global Health Observatory (2017).",
projection: "equal-earth",
// width,
color: {
legend: true,
label: "Psychiatrists per 100,000 people",
scheme: "viridis",
unknown: "white"
},
marginLeft: -150,
marks: [
Plot.geo(dataGeo, {
fill: (d) => d.properties["Psychiatrists"],
stroke: "currentColor",
strokeWidth: 0.5
}),
// Plot.sphere(),
Plot.tip(
dataGeo.features,
Plot.pointer(
Plot.centroid({
channels: {
Country: (d) => d.properties["Name"],
"Psychiatrists per 100k": (d) => d.properties["Psychiatrists"]
}
})
)
)
]
})
import { nameToCode, codeToName } from "@huw/iso-3166-1"
dataRaw = (await FileAttachment("data.json").json()).fact.map((d) => ({
Name: d.dims.COUNTRY,
Code: nameToCode[d.dims.COUNTRY],
Type: d.dims.GHO.replaceAll(
" working in mental health sector (per 100 000 population)",
""
),
Year: Number(d.dims.YEAR),
"Count per 100k": Number(d.Value)
}))
dataRaw
Type Table, then Shift-Enter. Ctrl-space for more options.
dataFlat = aq
.from(data)
.groupby(["Name", "Code", "Year"])
.pivot(["Type"], { "Count per 100k": (d) => aq.op.sum(d["Count per 100k"]) })
.ungroup()
.derive({
"All mental health workers": (d) =>
d["Nurses"] +
d["Psychiatrists"] +
d["Psychologists"] +
d["Social workers"]
})
.objects()
dataFlat
Type Table, then Shift-Enter. Ctrl-space for more options.
import { land110m as land, countries110m as countries } from "@visionscarto/geo"
dataGeo = ({
...countries,
features: countries.features.map((d1) => ({
...d1,
properties: {
...dataFlat.find((d2) => d2["Code"] === d1.properties.a3),
Name: codeToName[d1.properties.a3]
}
}))
})
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