The avatar for @winnie-shen2-ws
Winnie Shen's Workspace
Public
Edited
Nov 27, 2023
1
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Inputs.table(happiness)
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World Happiness Report 2022.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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happinessMap = worldHappinessReport2022.map(d => {
var x = d;

x.Happiness_score = +d.Happiness_score;
x. Explained_by_GDP = +d. Explained_by_GDP;
x. Explained_by_Social_support = +d. Explained_by_Social_support;
x. Explained_by_Healthy_life_expectancy = +d. Explained_by_Healthy_life_expectancy;
x. Explained_by_Freedom = +d. Explained_by_Freedom;
x. Explained_by_Generosity = +d. Explained_by_Generosity;
x. Explained_by_trust = +d. Explained_by_trust;

return x;
})
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// finding the highest happiness score using d3
{
let Happiness_score = happinessMap.map(function(d){
return +d.Happiness_score;
})
return "The highest happiness score is "+d3.max(Happiness_score)+".";
}
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{
let Happiness_score = happinessMap.map(function(d){
return +d.Happiness_score;
})
return "The lowest happiness score is "+d3.min(Happiness_score)+".";
}
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{
let Happiness_score = happinessMap.map(function(d){
return +d.Happiness_score;
})
return "The total happiness score is "+d3.sum(Happiness_score)+".";
}
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"The median of the happiness score (column) is " + d3.median(happinessMap, d => d.Happiness_score)+".";
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aboveOne = happinessMap.filter(function(d){
return d.Explained_by_GDP >= 1
});
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"The number of countries that have an extent to which GDP contributes to the calculation of the"
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"Happiness Score that is above 1 is "+aboveOne.length+"."
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Plot.plot({
y:{grid:true},
marks: [
Plot.rectY(happinessMap, Plot.binX({y: "count"}, {x: "Happiness_score", fill:"steelblue"})),
Plot.ruleY([0])
]
})
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Plot.plot({
marks: [
Plot.rectY(happinessMap, Plot.binX({y: "count"}, {x: "Explained_by_GDP", fill:"steelblue"})),
Plot.ruleY([0])
]
})
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Plot.plot({
marks: [
Plot.rectY(happinessMap, Plot.binX({y: "count"}, {x: "Explained_by_Social_support", fill:"steelblue"})),
Plot.ruleY([0])
]
})
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Plot.plot({
marks: [
Plot.rectY(happinessMap, Plot.binX({y: "count"}, {x: "Explained_by_Healthy_life_expectancy", fill:"steelblue"})),
Plot.ruleY([0])
]
})
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Plot.plot({
marks: [
Plot.rectY(happinessMap, Plot.binX({y: "count"}, {x: "Explained_by_Freedom", fill:"steelblue"})),
Plot.ruleY([0])
]
})
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Plot.plot({
marks: [
Plot.rectY(happinessMap, Plot.binX({y: "count"}, {x: "Explained_by_Generosity", fill:"steelblue"})),
Plot.ruleY([0])
]
})
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Plot.plot({
marks: [
Plot.rectY(happinessMap, Plot.binX({y: "count"}, {x: "Explained_by_trust", fill:"steelblue"})),
Plot.ruleY([0])
]
})
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import {vl} from '@vega/vega-lite-api'
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d3 = require("d3@7")
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happiness = d3.csv('https://gist.githubusercontent.com/WinnieS49/e3efb7190508716cd17ec763119fd718/raw/e73da6b36270e0aa9c4771dd33a80a68e2abd091/gistfile1.txt')
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