Public
Edited
Nov 27, 2023
games = FileAttachment("playstation2_games.csv").csv()
gamesv2 = {
let new_games = []
games.forEach(function(d, i){
d['date_string'] = d['First released'].replace(/[a-zA-Z]/g, '');
d['date'] = new Date(d['date_string']);
d['year'] = d['First released'].split('-')[0] * 1;
new_games.push(d);
})
return new_games
}
Inputs.table(gamesv2)
gpy=d3.rollup(gamesv2, v => d3.count(v, d => d['id']), d => d['year'])
arraygpy = [...gpy]
.filter(item => !isNaN(item[0]) && item[0] !== 0) // Filtrar los valores no deseados
.map(item => ({ Año: item[0], Total: item[1] }))
.sort((a, b) => d3.descending(a.Total, b.Total));
Plot.plot({
marginLeft: 60,
x: {inset: 1},
y: {label: null},
marks: [
Plot.dot(arraygpy, {x: "Año", y: "Total"})
]
})
gpd=d3.rollup(gamesv2, v => d3.count(v, d => d['id']), d => d['Developer'])
arraygpd = [...gpd].map(function (item) {
return { Developer: item[0], Total:item[1] }
}).sort((a, b) => d3.descending(a.total, b.total));
top10Dev = arraygpd.slice(0, 10);
Plot.plot({
marks: [
Plot.barX(top10Dev, {
x: "Total",
y: "Developer",
sort: { y: "x", reverse: true },
fill: "pink"
}),
Plot.ruleX([0])
]
})
gped = d3.rollup(
gamesv2,
v => ({
asociacion: d3.every(v, d => d.Developer === d.Publisher) ? 1 : 0
}),
d => d.Title
);
arraygped = [...gped].map(([title, { total, asociacion }]) => ({
Title: title,
Asociacion: asociacion
}));
asociacionSum = arraygped.reduce((acc, item) => {
if (item.Asociacion === 1) {
acc.asociacion1 += 1;
} else {
acc.asociacion0 += 1;
}
return acc;
}, { asociacion1: 0, asociacion0: 0 });
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