Data Analyst with a passion for Data visualization and storytelling
Public
Edited
Mar 12
1 fork
happiness
X
social_support
Y
freedom_to_make_life_choices
Color
—
Size
—
Facet X
—
Facet Y
—
Mark
Auto
Type Chart, then Shift-Enter. Ctrl-space for more options.
Plot.plot({
marks: [
Plot.dot(happiness, {
x: "social_support",
y: "freedom_to_make_life_choices",
tip: true
})
]
})
Plot.plot({
marks: [
Plot.barY(alphabet, {x: "letter", y: "frequency", sort: {x: "y", reverse: true}}),
Plot.ruleY([0])
]
})
beeswarm = Plot.plot({
height: 600,
width: 1000,
x: { tickSize: 0, label: factor },
grid: true,
marks: [
// Main beeswarm plot
Plot.dotX(
happiness,
Plot.dodgeY({
x: factor,
title: (d) => `${d.country_name}: ${d[factor]}`,
fill: (d) => (d.country_name === country ? "#006e90" : "#d3d3d3"),
anchor: "middle",
opacity: 1,
padding: 2,
r: 8
})
),
// Dotted line at median value
Plot.ruleX([median], {
stroke: "black",
strokeDasharray: "4,4", // Dotted line
strokeWidth: 1,
opacity: 0.7
})
]
})
import { Plot } from "@mkfreeman/plot-tooltip"
median = d3.median(happiness, (d) => d[factor])
features = [
"ladder_score",
"log_gdp_per_capita",
"social_support",
"healthy_life_expectancy",
"freedom_to_make_life_choices",
"generosity",
"perceptions_of_corruption"
]
happiness.csv
Type Table, then Shift-Enter. Ctrl-space for more options.
happiness
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