The avatar for @gefero
gefero
Sociologist (with background in statistical modelling, machine learning and data science). Someone said "Data Sociologist"... I like it.
Public
TP3: Introducción a Observable y D3
Edited
Apr 17, 2024
1 fork
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html`<p> Soy un <i>párrafo.</i> </p>`// https://www.w3schools.com/tags/tag_p.asp
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{
const p = document.createElement("p"); // Document es esta página, le agrego un elemento de texto <p>
p.appendChild(document.createTextNode("Yo también soy un ")); // Seteo el texto
p.appendChild(document.createElement("i")).appendChild(document.createTextNode("parrafo.")); // Agrego texto formateado
return p;
}
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md`Psss! Yo también soy un *párrafo*.`
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md`Mi número favorito es el ${Math.random()*100|0}.` // Shift+Enter múltiples veces para ver como cambia
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md`Incrible! podemos usar ${tex`\LaTeX`} para expresiones matemáticas ${tex`E = mc^2`}.`
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md`Tambien es posible incrustar componentes gráficos como esta linea: ${sparkline([0, 4, 3, 1, 6, 3, 4])} dentro del texto.`
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md`La hora actual es ${new Date(now).toLocaleTimeString()}.`
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html`<svg width="720" height="120"> # HTML me provee un componente SVG
<circle cx="40" cy="60" r="10"></circle>
<circle cx="80" cy="60" r="10"></circle>
<circle cx="120" cy="60" r="10"></circle>
</svg>` // cx,cy son las coordenadas de cada círculo y r su radio
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html`<svg width="720" height="120"> # HTML me provee un componente SVG
<circle cx="40" cy="60" r="10"></circle>
<rect x="70" y="45" width="30" height="30" stroke="red" fill="transparent" stroke-width="5"/>
<polyline points="120 50 125 60 130 55 135 70 140 65 145 80 "
stroke="orange" fill="transparent" stroke-width="5"/>
</svg>` // cx,cy son las coordenadas de cada círculo y r su radio
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barra_slider.value
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input_text = html`<input type=text value="Soy un recuadro para escribir texto...">`
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viewof input_bar = html`<input type=range>`
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input_bar
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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.
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