25:["$","title",null,{"children":"Por departamento M, H/M, D/M | angelesbri1s | Observable"}] 49:Tfa9,beeswarm = (data, date, type, toColor) => { ////// Chart configuration const radius = d3.scaleLinear() .domain([1, 7299]) .range([2, 6]) const bee_size = 3; const padding = 1.5; const size = { w: 800, h: 700 }; const margin = { top: 100, bottom: 30, left: 130, right: 100 }; const colors = "#e6ab02"; const xScale = d3 .scaleTime() .range([0, size.w]) .domain(d3.extent(data, (d) => d.Data)); const colorScale = d3 .scaleSequential() .domain([0, d3.max(data, (d) => d[toColor])]) .interpolator(d3.interpolateHcl("CornflowerBlue")); //https://observablehq.com/@philippkoytek/color-interpolations let category = [...new Set(data.map((d) => d[type]))]; category.reverse(); ////// Chart drawing const svg = d3.select( DOM.svg( size.w + margin.left + margin.right, size.h + margin.top + margin.bottom ) ); const g = svg .append("g") .attr("transform", `translate(${margin.left}, ${margin.top})`); // x axis const xAxis = d3.axisBottom().scale(xScale).ticks(d3.timeYear); g.append("g") .attr("transform", `translate(0, ${size.h - margin.top})`) .call(xAxis) .select(".domain") .remove(); // y scale const yScale = d3 .scalePoint() .domain(category) .range([0, size.h - margin.top - margin.bottom]); const yAxis = d3.axisLeft() .scale(yScale) .tickSizeInner((size.w)*-1); g.append("g") //.attr("transform", `translate(0,0)`) .call(yAxis) .select(".domain") .attr("stroke", "blue") //'stroke-width', 1) .attr('stroke', 'lightgray') .remove(); //Tooltip const toolTip = d3.select("body").append("div").attr("class", "toolTip"); // mouseover function const formatDate = d3.timeFormat("%Y/%m/%d %H:%M:%S") function nodeMouseOver(event, d) { toolTip .style("left", event.pageX + 18 + "px") .style("top", event.pageY + 18 + "px") .style("display", "block") .html( `

${d["body"]}

Fecha

${d["Data"]}

Evento

${d["Evento"]}

Estado Muerte

${d["hashtags"]}

Departamento

${d["Zona Geografica"]}

Ciudad Hecho

${d["ciudad_hecho"]}

Torturado

${d["Torturado"]}

Tipo de Lesión

${d["Tipo de Lesion"]}

Lugar de la lesión

${d["Lugar de la Lesion"]}

Edad

${d["sent"]}

Pro gobierno

${d["Progob"]}

Institución médica

${d["Inst_Medica"]} ` ); d3.select(event.target).style("cursor", "pointer"); } // mouseout function function nodeMouseOut(event, d) { // Hide tooltip on mouse out toolTip.style("display", "none"); // Hide toolTip // Optional cursor change removed d3.select(event.target).style("cursor", "default"); // Optional highlight removed d3.select(event.target) .transition() //.attr("fill", (d) => colorScale(d[toColor])); } // circles const bee = g .append("g") .attr("class", "bee") .attr("transform", `translate(0,0)`); const nodes = bee .selectAll("circle") .data(data) .enter() .append("circle") .attr("class", "node") .attr("cy", (d) => { d.y = size.h / 2; return d.y; }) .attr("cx", (d) => { d.x = xScale(d[date]); return d.x; }) .attr("r", (d) => bee_size) .attr("fill", (d) => color_dict[d.hashtags]) .attr("fill-opacity", 0.7) .on("mousemove", nodeMouseOver) .on("mouseout", nodeMouseOut); let simulation = d3 .forceSimulation() .force("collide", d3.forceCollide(bee_size + padding)) .force("x", d3.forceX((d) => d.x).strength(1)) .alphaMin(0.00001); if (category) { simulation.force("y", d3.forceY((d) => yScale(d[type])).strength(1)); } else { simulation.force("y", d3.forceY((d) => d.y).strength(1)); } simulation.nodes(data).on("tick", () => { nodes.attr("cx", (d) => d.x).attr("cy", (d) => d.y); }); return svg.node(); }4a:[{"id":"a5af302b3ba95051705cde12e243082f66af391b936acf7f4e9b0c4793a9aa5ceefa05e3b0cda4a250aaa6f7e08efd5c8dd76e13533ee48378d3aed45e1cf306","href":"https://static.observableusercontent.com/files/a5af302b3ba95051705cde12e243082f66af391b936acf7f4e9b0c4793a9aa5ceefa05e3b0cda4a250aaa6f7e08efd5c8dd76e13533ee48378d3aed45e1cf306","name":"authors per obs-.csv","type":"text/csv","lastModified":1666644752253.869,"size":36507}] 29:{"id":"869bd98cd496c8c4","slug":null,"title":"Por departamento M, H/M, 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