// Ejemplo, se pueden definir colores mediante HEX, nombre, HSL, RGB/RGBA
swatches(["#ff3399", "hotpink", "hsl(330, 100%, 70.5%)", "rgba(128, 0, 128, 0.2)"])
// Creamos un array con la información de los márgenes
margin = ({top: 20, right: 20, bottom: 40, left: 40})
// Definimos el alto del canvas
height = 350
// Definimos el ancho del canvas
width = 350
// Definimos una función que crea la escala. Básicamente, mapea (de forma lineal) a los datos
scale_x = d3.scaleLinear()
.domain([d3.min(iris, d => d.longitud_sepalo), d3.max(iris, d => d.longitud_sepalo)]) // Definimos dominio
.range([margin.left, width - margin.right]) // Definimos el rango (con un margen)
scale_y = d3.scaleLinear()
.domain([0, d3.max(iris, d => d.longitud_petalo)])
.range([height - margin.bottom, margin.top])
// Opción 2...
{
const svg = d3.create("svg")
.attr("width", width)
.attr("height", height);
var color2data = d3.scaleOrdinal()
.domain(["setosa", "versicolor", "virginica" ])
.range([ "#F8766D", "#00BA38", "#619CFF"])
svg.append("g")
.call(d3.axisBottom(scale_x))
.attr("transform", `translate(0,${height - margin.bottom})`);
svg.append("g")
.call(d3.axisLeft(scale_y))
.attr("transform", `translate(${margin.left},0)`);
svg.append("g")
.selectAll("circle")
.data(iris)
.join("circle")
.attr("cx", d => scale_x(d.longitud_sepalo))
.attr("cy", d => scale_y(d.longitud_petalo))
.attr("r", 3)
.attr("fill", d => color2data(d.especie));
return svg.node();
}
import {legend} from "@d3/color-legend"
{
const svg = d3.create("svg")
.attr("width", width)
.attr("height", height);
var color_viridis = d3.scaleSequential()
.domain([d3.min(iris, d => d.area_petalo), d3.max(iris, d => d.area_petalo)])
.interpolator(d3.interpolateViridis)
svg.append("g")
.call(d3.axisBottom(scale_x))
.attr("transform", `translate(0,${height - margin.bottom})`);
svg.append("g")
.call(d3.axisLeft(scale_y))
.attr("transform", `translate(${margin.left},0)`);
svg.append("g")
.selectAll("circle")
.data(iris)
.join("circle")
.attr("cx", d => scale_x(d.longitud_sepalo))
.attr("cy", d => scale_y(d.longitud_petalo))
.attr("r", d => d.area_petalo)
.attr("fill", d => color_viridis(d.area_petalo));
return svg.node();
}
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.