Maps, Graphs, Cities
Public
Edited
Dec 11, 2023
world_bank_data.csv
Type Table, then Shift-Enter. Ctrl-space for more options.
world_bank_data
Plot.plot({
marginLeft: 180,
marginBottom: 40,
width: 800,
x: {label: "CO2 Emissions per capita (kT CO2/year)"},
color: {type: "sequential", scheme: "Reds"},
marks: [
Plot.barX(
world_bank_data.filter((d) => (d.year === 2019 && d.co2 / d.population > 0.01)),
{
x: (d) => (d.co2 / d.population),
y: "country",
fill: "lightgrey",
height: 2,
inset: 2,
dx: 2,
dy: 2
}
),
Plot.barX(
world_bank_data.filter((d) => (d.year === 2019 && d.co2 / d.population > 0.01)),
{
x: (d) => (d.co2 / d.population),
y: "country",
fill: (d) => (d.co2 / d.population),
height: 2,
inset: 2,
}
)
]
})
Plot.plot({
title: "CO2 Emissions per capita by year",
width: 800,
marginLeft: 40,
marginRight: 100,
y: {grid: false},
x: {grid: false, domain: [1997, 2019], label: ""},
color: {legend: true},
marks: [
Plot.lineX(world_bank_data, {
x: "year",
y: (d) => (d.co2 / d.population),
stroke: "#e8e6e3",
}),
Plot.lineX(world_bank_data, {
filter: (d) => (d.country === selectedCountry1),
x: "year",
y: (d) => (d.co2 / d.population),
stroke: "red"
}),
Plot.lineX(world_bank_data, {
filter: (d) => (d.country === selectedCountry2),
x: "year",
y: (d) => (d.co2 / d.population),
stroke: "blue"
}),
Plot.text(world_bank_data, {
filter: (d) => (d.country === selectedCountry1 && d.year === 2019),
x: 2019.25,
y: (d) => (d.co2 / d.population),
text: "country",
textAnchor: "start",
fill: "red",
lineWidth: 10
}),
Plot.text(world_bank_data, {
filter: (d) => (d.country === selectedCountry2 && d.year === 2019),
x: 2019.25,
y: (d) => (d.co2 / d.population),
text: "country",
textAnchor: "start",
fill: "blue",
lineWidth: 10
})
]
})
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Type Table, then Shift-Enter. Ctrl-space for more options.
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