genero_plot = { if (is_sex_compare) { return html`

${Object.keys(colores).map((d) => "" + d + "")}

${Plot.plot({ marginLeft: 40, marginBottom: 40, marginRight: 15, marginTop: 15, x: { ticks: d3.ticks(0, sex_max * 1.05, 6).slice(1,), tickSize: 0, grid: true, tickFormat: d => d3.format('.0f')(d) }, y: { tickSize: 0, ticks: d3.ticks(0, sex_max * 1.05, 6).slice(1,), tickFormat: d => d3.format('.0f')(d), grid: true }, marks: [ Plot.line([{x:0, y:0}, {x: sex_max * 1.05, y:sex_max * 1.05}], { x: "x", y: "y", stroke: "#000000", strokeWidth: 1.5, strokeOpacity: .08 }), Plot.text([{x: 0, y: sex_max * 1.05, text: sex_compare[1]}], { x: 'x', y: 'y', text: 'text', dx: 0, fontSize: 10, opacity: .7, lineWidth: 7, frameAnchor: "left" }), Plot.text([{x: sex_max * 1.05, y: sex_max * 0.02, text: sex_compare[0]}], { x: 'x', y: 'y', text: 'text', dx: 0, fontSize: 10, opacity: .7, lineWidth: 7, frameAnchor: "right" }), Plot.dot(dfo2, { x: "s0", y: "s1", fill: "color", fillOpacity: .7, r:3, strokeOpacity: .0, stroke: "#2f3038", strokeWidth: .0, title: (d) => `${d[sex_compare[1]]} ${sex_compare[1]}\n${d[sex_compare[0]]} ${sex_compare[0]}\nen ${d.municipio}\ndurante ${d.mes.toLocaleDateString("es-US", {year: "numeric", month: "long", timeZone: 'UTC'})}` } ) ], height: 550, width: 550, })}

Cada punto representa el número de casos en un municipio y mes.

` } else { return (md`*No existen cortes para comparar*`) }}