Public
Edited
Dec 13, 2023
worldbank2010.csv
Type Table, then Shift-Enter. Ctrl-space for more options.
Plot.plot({
x: {
type: "log"
},
color: {
legend: true,
type: "categorical",
scheme: "Paired"
},
marks: [
Plot.dot(worldbank2010, { x: "gdp", y: "life_exp", fill: "region"})
]
})
Plot.plot({
x: {
type: "log"
},
y: {
type: "log"
},
color: {
legend: true,
type: "sequential",
scheme: "BuGn",
label: "life expectancy"
},
marks: [
Plot.dot(worldbank2010, { x: "gdp", y: "co2", fill: "life_exp", stroke: "black"})
]
})
Plot.plot({
x: {
type: "log"
},
color: {
legend: true,
type: "quantile",
scheme: "BuYlRd",
tickFormat: ".0f"
},
marks: [
Plot.dot(worldbank2010, { x: "gdp", y: "life_exp", fill: "co2"})
]
})
cars
Type Table, then Shift-Enter. Ctrl-space for more options.
Plot.plot({
width: width,
height: 300,
x: {
type: "log"
},
color: {
legend: true,
type: "ordinal",
domain: ["NA", "Low income", "Lower middle income", "Upper middle income", "High income"],
range: ["gray", 'red', 'orange', 'blue', 'green']
},
marks: [
Plot.dot(worldbank2010, { x: "gdp", y: "life_exp", fill: "gray", opacity: 0.2}),
Plot.dot(worldbank2010, { x: "gdp", y: "life_exp", fx: "region", fill: "income_group"}),
Plot.text(worldbank2010, Plot.select({y: "max"}, { x: "gdp", y: "life_exp", fx: "region", text: "country_name", fill: "green", dy: -5})),
Plot.text(worldbank2010, Plot.select({y: "min"}, { x: "gdp", y: "life_exp", fx: "region", text: "country_name", fill: "red", dy: -5})),
Plot.frame()
]
})
regions = ["East Asia & Pacific",
"Europe & Central Asia",
"Latin America & Caribbean",
"Middle East & North Africa",
"North America",
"South Asia",
"Sub-Saharan Africa"]
Plot.plot({
height: 300,
x: {
type: "log"
},
color: {
legend: true,
type: "ordinal",
scheme: "BuGn",
domain: ["NA", "Low income", "Lower middle income", "Upper middle income", "High income"]
},
marks: [
Plot.dot(worldbank2010, { x: "gdp", y: "life_exp", fill: "gray", opacity: 0.2}),
Plot.dot(worldbank2010, { x: "gdp", y: "life_exp", fill: "income_group", filter: d => d.region === regionSelected}),
Plot.text(worldbank2010, Plot.select({y: "max"}, { x: "gdp", y: "life_exp", text: "country_name", fill: "green", dy: -5})),
Plot.text(worldbank2010, Plot.select({y: "min"}, { x: "gdp", y: "life_exp", text: "country_name", fill: "red", dy: -5})),
Plot.frame()
]
})
viewof select = Inputs.select(["A", "B"], {label: "Select one"})
select
import { toggleSwitch } from '@chrispahm/toggle-switch-input-button'
import {Scrubber} from '@mbostock/scrubber'
viewof value = Scrubber(d3.range(1950,2009), {
autoplay: false,
delay: 500,
loop: false,
// initial: 5,
// loopDelay: 1000,
// alternate: true
})
viewof range = Inputs.range([1950,2008], {label: "Amount", step: 1})
import {nations} from "@observablehq/plot-wealth-health-nations"
nations
viewof year = Scrubber(d3.range(1950,2009), {
autoplay: false,
delay: 100,
loop: false,
// initial: 5,
// loopDelay: 1000,
// alternate: true
})
Plot.plot({
width,
height: 500,
y: {
label: "life expectancy"
},
color: {
legend: true
},
marks: [
Plot.dot(nations, {
x: "income",
y: "lifeExpectancy",
r: "population",
fill: "region",
stroke: "black",
filter: d => d.year == year
}),
Plot.dot(nations, Plot.pointer({
x: "income",
y: "lifeExpectancy",
r: "population",
fill: "region",
stroke: "red",
strokeWidth: 10,
opacity: 0.5,
filter: d => d.year == year,
tip: true,
channels: {
nation: "name",
}
}))
],
x: {
type: "log"
}
})
import {personOutlined, personFilled} from "@datavizstudio/person-isotype-matrix"
import {createMatrixData} from "@datavizstudio/person-isotype-matrix"
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.