28:null 29:["$","title",null,{"children":"Estudio de Clima Laboral | Fabián Muñoz | Observable"}] 2e:T911,| Pregunta | Promedio | Des.Est. | Mínimo | Máximo | | :------ | :------: | :------: | :--------: | :------: | | 1. ${preguntas1[6].descripcion} | ${d3.format(".2f")(d3.mean(clima, d => d.p1))} | ${d3.format(".2f")(d3.deviation(clima, d => d.p1))} | ${d3.format(".2f")(d3.min(clima, d => d.p1))} | ${d3.format(".2f")(d3.max(clima, d => d.p1))} | | 2. ${preguntas1[7].descripcion} | ${d3.format(".2f")(d3.mean(clima, d => d.p2))} | ${d3.format(".2f")(d3.deviation(clima, d => d.p2))} |${d3.format(".2f")(d3.min(clima, d => d.p2))} | ${d3.format(".2f")(d3.max(clima, d => d.p2))} | | 3. ${preguntas1[8].descripcion} | ${d3.format(".2f")(d3.mean(clima, d => d.p3))} | ${d3.format(".2f")(d3.deviation(clima, d => d.p3))} | | 4. ${preguntas1[9].descripcion} | ${d3.format(".2f")(d3.mean(clima, d => d.p4))} | ${d3.format(".2f")(d3.deviation(clima, d => d.p4))} | | 5. ${preguntas1[10].descripcion} | ${d3.format(".2f")(d3.mean(clima, d => d.p5))} | ${d3.format(".2f")(d3.deviation(clima, d => d.p5))} | | 6. ${preguntas1[11].descripcion} | ${d3.format(".2f")(d3.mean(clima, d => d.p6))} | ${d3.format(".2f")(d3.deviation(clima, d => d.p6))} | | 7. ${preguntas1[12].descripcion} | ${d3.format(".2f")(d3.mean(clima, d => d.p7))} | ${d3.format(".2f")(d3.deviation(clima, d => d.p7))} | | 8. ${preguntas1[13].descripcion} | ${d3.format(".2f")(d3.mean(clima, d => d.p8))} | ${d3.format(".2f")(d3.deviation(clima, d => d.p8))} | | 9. ${preguntas1[14].descripcion} | ${d3.format(".2f")(d3.mean(clima, d => d.p9))} | ${d3.format(".2f")(d3.deviation(clima, d => d.p9))} | | 10. ${preguntas1[15].descripcion} | ${d3.format(".2f")(d3.mean(clima, d => d.p10))} | ${d3.format(".2f")(d3.deviation(clima, d => d.p10))} | | 11. ${preguntas1[16].descripcion} | ${d3.format(".2f")(d3.mean(clima, d => d.p11))} | ${d3.format(".2f")(d3.deviation(clima, d => d.p11))} | | 12. ${preguntas1[17].descripcion} | ${d3.format(".2f")(d3.mean(clima, d => d.p12))} | ${d3.format(".2f")(d3.deviation(clima, d => d.p12))} | | 13. ${preguntas1[18].descripcion} | ${d3.format(".2f")(d3.mean(clima, d => d.p13))} | ${d3.format(".2f")(d3.deviation(clima, d => d.p13))} | | 14. ${preguntas1[19].descripcion} | ${d3.format(".2f")(d3.mean(clima, d => d.p14))} | ${d3.format(".2f")(d3.deviation(clima, d => d.p14))} | 2f:T5a7,clima2=clima.map(d => ({...d, sexo: (d.genero == 1 ? "Hombres" : "Mujeres"), subdim11: (d.p1+d.p2+d.p3+d.p4+d.p5+d.p6+d.p7+d.p8+d.p9)/9, subdim12: (d.p10+d.p11+d.p12+d.p13+d.p14+d.p15+d.p16+d.p17+d.p18+d.p19+d.p20+d.p21)/12, dim1: (d.p1+d.p2+d.p3+d.p4+d.p5+d.p6+d.p7+d.p8+d.p9+d.p10+d.p11+d.p12+d.p13+d.p14+d.p15+d.p16+d.p17+d.p18+d.p19+d.p20+d.p21)/21, subdim21: (d.p22+d.p23+d.p24+d.p25+d.p26)/5, subdim22: (d.p27+d.p28+d.p29+d.p30)/4, dim2: (d.p22+d.p23+d.p24+d.p25+d.p26+d.p27+d.p28+d.p29+d.p30)/9, subdim31: (d.p31+d.p32+d.p33+d.p34+d.p35+d.p36+(9-4*d.p37)+d.p38+d.p39+d.p40+d.p41)/11, subdim32: (d.p42+(9-4*d.p43)+d.p44+d.p45+(9-4*d.p46))/5, subdim33: (d.p47+d.p48+d.p49+d.p50+d.p51+d.p52)/6, dim3: (d.p31+d.p32+d.p33+d.p34+d.p35+d.p36+(9-4*d.p37)+d.p38+d.p39+d.p40+d.p41+d.p42+(9-4*d.p43)+d.p44+d.p45+(9-4*d.p46)+d.p47+d.p48+d.p49+d.p50+d.p51+d.p52)/22, subdim41: ((9-4*d.p53)+d.p54+d.p55+d.p56)/4, subdim42: (d.p57+d.p58+d.p59+d.p60+d.p61)/5, dim4: (9-4*d.p53+d.p54+d.p55+d.p56+d.p57+d.p58+d.p59+d.p60+d.p61)/9, global: (d.p1+d.p2+d.p3+d.p4+d.p5+d.p6+d.p7+d.p8+d.p9+d.p10+d.p11+d.p12+d.p13+d.p14+d.p15+d.p16+d.p17+d.p18+d.p19+d.p20+d.p21+d.p22+d.p23+d.p24+d.p25+d.p26+d.p27+d.p28+d.p29+d.p30+d.p31+d.p32+d.p33+d.p34+d.p35+d.p36+(9-4*d.p37)+d.p38+d.p39+d.p40+d.p41+d.p42+(9-4*d.p43)+d.p44+d.p45+(9-4*d.p46)+d.p47+d.p48+d.p49+d.p50+d.p51+d.p52+(9-4*d.p53)+d.p54+d.p55+d.p56+d.p57+d.p58+d.p59+d.p60+d.p61)/61})) 30:T120f,// Copyright 2021, Observable Inc. // Released under the ISC license. // https://observablehq.com/@d3/color-legend function Legend(color, { title, tickSize = 6, width = 320, height = 55 + tickSize, marginTop = 18, marginRight = 0, marginBottom = 16 + tickSize, marginLeft = 0, ticks = width / 64, tickFormat, tickValues } = {}) { function ramp(color, n = 256) { const canvas = document.createElement("canvas"); canvas.width = n; canvas.height = 1; const context = canvas.getContext("2d"); for (let i = 0; i < n; ++i) { context.fillStyle = color(i / (n - 1)); context.fillRect(i, 0, 1, 1); } return canvas; } const svg = d3.create("svg") .attr("width", width) .attr("height", height) .attr("viewBox", [0, 0, width, height]) .style("overflow", "visible") .style("display", "block"); let tickAdjust = g => g.selectAll(".tick line").attr("y1", marginTop + marginBottom - height); let x; // Continuous if (color.interpolate) { const n = Math.min(color.domain().length, color.range().length); x = color.copy().rangeRound(d3.quantize(d3.interpolate(marginLeft, width - marginRight), n)); svg.append("image") .attr("x", marginLeft) .attr("y", marginTop) .attr("width", width - marginLeft - marginRight) .attr("height", height - marginTop - marginBottom) .attr("preserveAspectRatio", "none") .attr("xlink:href", ramp(color.copy().domain(d3.quantize(d3.interpolate(0, 1), n))).toDataURL()); } // Sequential else if (color.interpolator) { x = Object.assign(color.copy() .interpolator(d3.interpolateRound(marginLeft, width - marginRight)), {range() { return [marginLeft, width - marginRight]; }}); svg.append("image") .attr("x", marginLeft) .attr("y", marginTop) .attr("width", width - marginLeft - marginRight) .attr("height", height - marginTop - marginBottom) .attr("preserveAspectRatio", "none") .attr("xlink:href", ramp(color.interpolator()).toDataURL()); // scaleSequentialQuantile doesn’t implement ticks or tickFormat. if (!x.ticks) { if (tickValues === undefined) { const n = Math.round(ticks + 1); tickValues = d3.range(n).map(i => d3.quantile(color.domain(), i / (n - 1))); } if (typeof tickFormat !== "function") { tickFormat = d3.format(tickFormat === undefined ? ",f" : tickFormat); } } } // Threshold else if (color.invertExtent) { const thresholds = color.thresholds ? color.thresholds() // scaleQuantize : color.quantiles ? color.quantiles() // scaleQuantile : color.domain(); // scaleThreshold const thresholdFormat = tickFormat === undefined ? d => d : typeof tickFormat === "string" ? d3.format(tickFormat) : tickFormat; x = d3.scaleLinear() .domain([-1, color.range().length - 1]) .rangeRound([marginLeft, width - marginRight]); svg.append("g") .selectAll("rect") .data(color.range()) .join("rect") .attr("x", (d, i) => x(i - 1)) .attr("y", marginTop) .attr("width", (d, i) => x(i) - x(i - 1)) .attr("height", height - marginTop - marginBottom) .attr("fill", d => d); tickValues = d3.range(thresholds.length); tickFormat = i => thresholdFormat(thresholds[i], i); } // Ordinal else { x = d3.scaleBand() .domain(color.domain()) .rangeRound([marginLeft, width - marginRight]); svg.append("g") .selectAll("rect") .data(color.domain()) .join("rect") .attr("x", x) .attr("y", marginTop) .attr("width", Math.max(0, x.bandwidth() - 1)) .attr("height", height - marginTop - marginBottom) .attr("fill", color); tickAdjust = () => {}; } svg.append("g") .attr("transform", `translate(0,${height - marginBottom})`) .call(d3.axisBottom(x) .ticks(ticks, typeof tickFormat === "string" ? tickFormat : undefined) .tickFormat(typeof tickFormat === "function" ? tickFormat : undefined) .tickSize(tickSize) .tickValues(tickValues)) .call(tickAdjust) .call(g => g.select(".domain").remove()) .call(g => g.append("text") .attr("x", marginLeft) .attr("y", marginTop + marginBottom - height - 6) .attr("fill", "currentColor") .attr("text-anchor", "start") .attr("font-weight", "bold") .attr("class", "title") .text(title)); return svg.node(); }31:[{"id":"20fa86a3a8c02a5a63574f7355caddcfc782f0ba7d6ed5f97b44d5bf2e9831c958ce06a0cb2e93de1325f7b311efe582dca88efc1fceb9669c58c29ef9a2d7ea","href":"https://static.observableusercontent.com/files/20fa86a3a8c02a5a63574f7355caddcfc782f0ba7d6ed5f97b44d5bf2e9831c958ce06a0cb2e93de1325f7b311efe582dca88efc1fceb9669c58c29ef9a2d7ea","name":"cr_final@1.csv","type":"text/csv","lastModified":1685158669960.23,"size":39146},{"id":"5bb9f0f9111299009693bd99f6d7a1ea4ddbd8fa4240b451da5972cf5ef8ea30d39357b8f84563720f33cda76b7a33b05d64ed7723206e3c678c2729b8d24bcc","href":"https://static.observableusercontent.com/files/5bb9f0f9111299009693bd99f6d7a1ea4ddbd8fa4240b451da5972cf5ef8ea30d39357b8f84563720f33cda76b7a33b05d64ed7723206e3c678c2729b8d24bcc","name":"preguntas@1.csv","type":"text/csv","lastModified":1685118041672.087,"size":5600}] 2c:{"id":"2d919a28d3d0aeeb","slug":null,"title":"Estudio de Clima Laboral","thumbnail":"49e3b8e7b5c25c76853ac31b4ed41e895e2facb91573182f4e68e995d0ccb899","access_level":"public","create_time":"$D2023-05-15T23:03:00.083Z","update_time":"$D2024-10-15T19:31:19.725Z","view_time":null,"first_public_time":"$D2023-05-15T23:03:00.083Z","has_unpublished_edits":null,"fork":{"id":"fb26a77bf02183d9","slug":"estudio-de-clima-laboral","title":"Estudio de Clima Laboral","owner":{"id":"e0b7557b34627be8","login":"fmunoz","name":"Fabián Muñoz"}},"stars":0,"starred":false,"owner":{"type":"team","id":"e0b7557b34627be8","login":"fmunoz","name":"Fabián Muñoz","avatar_url":"https://avatars-next.observableusercontent.com/033ac165682aef09b8d2c1d302b892db1d594352e2b15239c6683ffb8c50b1a5","tier":"starter_2024"},"version":3611,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"4c962e83bdbbe170","login":"fmunoz","name":"Fabián Muñoz","avatar_url":"https://avatars-next.observableusercontent.com/033ac165682aef09b8d2c1d302b892db1d594352e2b15239c6683ffb8c50b1a5","tier":null}],"members":[{"type":"individual","id":"4c962e83bdbbe170","login":"fmunoz","name":"Fabián Muñoz","avatar_url":"https://avatars-next.observableusercontent.com/033ac165682aef09b8d2c1d302b892db1d594352e2b15239c6683ffb8c50b1a5","tier":null,"role":"editor"}],"comments":[{"id":"8aec45ee65976520","reply_to_id":null,"content":"Hay que colocar el nombre de cada dimensión\nSe debe poner el promedio en cada gráfico?","create_time":"$D2023-11-20T20:24:24.855Z","update_time":null,"resolved":false,"user":{"type":"individual","id":"4c962e83bdbbe170","login":"fmunoz","name":"Fabián Muñoz","avatar_url":"https://avatars-next.observableusercontent.com/033ac165682aef09b8d2c1d302b892db1d594352e2b15239c6683ffb8c50b1a5","tier":null}}],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"titling":"auto","title":"Estudio de Clima Laboral","cells":[{"id":0,"value":"# Estudio de Clima Laboral","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":11,"value":"### Preparado por Fabián Muñoz\n### Actualización: 9 de enero de 2024","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":1542,"value":"Se aplicó una encuesta de 64 preguntas. Las 6 primeras preguntas son de caracterización de los empleados de la empresa CR-Ecuador. Las restantes preguntas corresponden al ambiente laboral que se vive en la empresa.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":994,"value":"preguntas=[\n {preg: \"edad\", descripcion: \"Edad\"},\n {preg: \"genero\", descripcion: \"Género\"},\n {preg: \"tiempo\", descripcion: \"Tiempo\"},\n {preg: \"formacion\", descripcion: \"Formación académica\"},\n {preg: \"area\", descripcion: \"Área de trabajo\"},\n {preg: \"lugar\", descripcion: \"Lugar de trabajo\"},\n {preg: \"p1\", descripcion: \"¿Mi jefe directo es coherente entre lo que piensa, dice y hace?\"},\n {preg: \"p2\", descripcion: \"¿Mi jefe directo incentiva, considera y responde de forma genuina a mis sugerencias e ideas?\"}\n \n]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1102,"value":"preguntas1 = FileAttachment(\"preguntas@1.csv\").csv({typed: true})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1140,"value":"viewof preguntas3 = Inputs.select(preguntas1, {label: \"Seleccione una pregunta\", format: x => x.descripcion, value: preguntas1.find(t => t.descripcion === \"Género\")}) ","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1549,"value":"gen = ({1: \"Masculino\", 2: \"Femenino\"})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1644,"value":"`${gen[clima[3].genero]}`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":18,"value":"grafo1=Plot.plot({\n marginTop: 50,\n marginBottom: 50,\n marginLeft: 100,\n marginRight: 50,\n y: {percent: false},\n marks: [\n Plot.axisX({tickValue: p => gen[clima[4].genero]}),\n Plot.barY(clima, Plot.groupX({y: \"sum\"}, {x: preguntas3.nombre, fill: \"#777777\", opacity: 1.0})), \n Plot.ruleY([0]),\n ],\n style: {\n width: 400,\n fontSize: 20,\n },\n x: {\n label: preguntas3.nombre,\n tickPadding: 5\n },\n grid: true,\n color: { scheme: \"magma\" },\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":172,"value":"#### ${preguntas3.descripcion.toUpperCase()}\n#### Promedio: ${d3.format(\".2f\")(d3.mean(clima, d => d[preguntas3.nombre]))}\n#### Varianza: ${d3.format(\".2f\")(d3.variance(clima, d => d[preguntas3.nombre]))}","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":651,"value":"## Evaluación de cada dimensión","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":2855,"value":"viewof pr = Inputs.select(\n new Map(\n [\n [\"Pregunta 1\", \"p1\"],\n [\"Pregunta 2\", \"p2\"],\n [\"Pregunta 3\", \"p3\"],\n [\"Pregunta 4\", \"p4\"],\n [\"Pregunta 5\", \"p5\"],\n [\"Pregunta 6\", \"p6\"],\n [\"pregunta 7\", \"p7\"],\n [\"Dimensión 1\", \"dim1\"],\n [\"Dimensión 2\", \"dim2\"],\n [\"Dimensión 3\", \"dim3\"],\n [\"Dimensión 4\", \"dim4\"]\n ]\n ),\n {label: \"Seleccione:\"}\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":870,"value":"viewof base = Inputs.select([\"edad\", \"genero\", \"tiempo\", \"formacion\", \"area\", \"lugar\"], {label: \"Seleccione una pregunta\"})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":567,"value":"Plot.plot({\n marginTop: 50,\n marginBottom: 50,\n y: {\n grid: true,\n inset: 16\n },\n x: {\n grid: true\n },\n marks: [\n Plot.boxY(clima2, {x: base, y: pr, fill: \"darkblue\", opacity: 0.55})\n ],\n style: {\n width: 400,\n fontSize: 18\n }\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1765,"value":"** Resultados según pregunta **","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":701,"value":"$2e","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":1896,"value":"** Resultados según Dimensión **","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":1953,"value":"\n\n \n \n \n \n \n \n \n \n \n ${arreglo.slice(0,5).map(climax => htl.html`\n \n \n \n \n `)}\n \n

Dimensión	Promedio	D.Estándar	Mediana
${climax[\"etiqueta\"]}	${d3.format(\".2f\")(climax[\"promedio\"])}	${d3.format(\".2f\")(climax[\"desviacion\"])}	${d3.format(\".2f\")(climax[\"mediana\"])}

","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":2049,"value":"arreglo = [\n {etiqueta: \"Índice de Clima Laboral\", promedio: d3.mean(clima2.map(d => d.global)), desviacion: d3.deviation(clima2.map(d => d.global)), mediana: d3.median(clima2.map(d => d.global))},\n {etiqueta: preguntas1[67].descripcion, promedio: d3.mean(clima2.map(d => d.dim1)), desviacion: d3.deviation(clima2.map(d => d.dim1)), mediana: d3.median(clima2.map(d => d.dim1))},\n {etiqueta: preguntas1[68].descripcion, promedio: d3.mean(clima2.map(d => d.dim2)), desviacion: d3.deviation(clima2.map(d => d.dim2)), mediana: d3.median(clima2.map(d => d.dim2))},\n {etiqueta: preguntas1[69].descripcion, promedio: d3.mean(clima2.map(d => d.dim3)), desviacion: d3.deviation(clima2.map(d => d.dim3)), mediana: d3.median(clima2.map(d => d.dim3))},\n {etiqueta: preguntas1[70].descripcion, promedio: d3.mean(clima2.map(d => d.dim4)), desviacion: d3.deviation(clima2.map(d => d.dim4)), mediana: d3.median(clima2.map(d => d.dim4))},\n] ","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2330,"value":"viewof color = Inputs.color({label: \"Favorite color\", value: \"#4682b4\"})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2162,"value":"{\n let a=0;\n for (let i = 1; i < 6; i++) {\n a+=1;\n }\n return a;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1513,"value":"Legend(d3.scaleSequential([0, 10], d3.interpolateViridis), {\n title: \"Puntuación\",\n width: 700,\n height: 75\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":408,"value":"## Anexos","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":948,"value":"data = clima2","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"data","database":"$undefined"},{"id":32,"value":"clima = FileAttachment(\"cr_final@1.csv\").csv({typed: true})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1290,"value":"$2f","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3309,"value":"## Importar Arquero","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3306,"value":"import { aq, op } from \"@uwdata/arquero\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3311,"value":"climatable = aq.from(clima2)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3316,"value":"climatable2 = climatable.rename({resume_code: \"caso\"})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2584,"value":"climatable3 = climatable2.select(\"caso\", \"sexo\", \"dim1\", \"dim2\", \"dim3\", \"dim4\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3328,"value":"climatable4 = climatable3\n .fold(['dim1', 'dim2', 'dim3', 'dim4'], {as: ['dimension', 'puntaje']})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3346,"value":"climatable5 = climatable4.objects()","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2348,"value":"SELECT avg(dim1) as xdim1,\n stddev(dim1) as sdim1,\n avg(dim2) as xdim2,\n stddev(dim2) as sdim2,\n avg(dim3) as xdim3,\n stddev(dim3) as sdim3,\n avg(dim4) as xdim4,\n stddev(dim4) as sdim4\n FROM clima2\n","pinned":false,"hidden":false,"mode":"sql","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"var:clima2"},{"id":2808,"value":"dim_1 = clima2.map(d => d.dim1)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2815,"value":"dim_2 = clima2.map(d => d.dim2)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2817,"value":"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2668,"value":"### Comparación de la dimensión \"${dimension.descripcion}\" entre hombres y mujeres\nPueden existir diferencias en los resultados de las dimensiones debido al sexo de los participantes, por lo que es necesario revisar los resultados para hombres y mujeres.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":2975,"value":"dimen=[\n {preg: \"dim1\", descripcion: \"Estilo de Dirección\"},\n {preg: \"dim2\", descripcion: \"Desarrollo\"},\n {preg: \"dim3\", descripcion: \"Identidad y Orgullo\"},\n {preg: \"dim4\", descripcion: \"Condiciones de Trabajo\"},\n]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3344,"value":"Plot.plot({\n color: {legend: true},\n marks: [\n Plot.dot(climatable4, Plot.dodgeX(\"left\", {fx: \"dimension\", y: \"puntaje\", fill: \"dimension\"}))\n ]\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3525,"value":"### Comparación de las dimensiones de análisis\nExisten cuatro dimensiones de análisis:\n* Estilo de dirección\n* Desarrollo\n* Identidad y orgullo, y \n* Condiciones de trabajo\n\nLa comparación nos permite determinar cuáles son las dimensión mejor y peor posicionadas. En el gráfico de abajo la dimensión de Identidad y orgullo es la que muestra un mejor puntaje.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3358,"value":"Plot.plot({\n // title: `Las 4 dimensión de análisis`,\n // subtitle: `Encuesta de ambiente laboral`,\n width: 800,\n height: 250,\n marginTop: 45,\n marginBottom: 45,\n style: { fontSize: \"14px\"},\n y: {label: \"Frecuencia (n)\", grid: true},\n x: {label: \"Puntaje\", grid: true},\n fx: {label: null},\n marks: [\n Plot.frame({fill: \"#FBF9F1\"}),\n Plot.areaY(climatable4,\n Plot.binX(\n {y: \"count\"},\n {x: \"puntaje\", fill: \"dimension\", fx: \"dimension\"}\n )\n ),\n // Plot.areaY(clima2, Plot.binX({y:\"count\"}, {x: dimension.preg, curve: \"natural\", stroke: \"black\", fill: \"salmon\", fillOpacity: 0.4})),\n Plot.ruleY([0]),\n Plot.ruleX([1]),\n Plot.axisX({ticks: 5}),\n Plot.gridX({interval: 1, stroke: \"black\"}),\n ]\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2977,"value":"viewof dimension = Inputs.select(dimen, {label: \"Seleccione una dimensión\", format: x => x.descripcion, value: dimen.find(t => t.descripcion === \"Estilo de Dirección\")})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2877,"value":"\nPlot.plot({\n title: `Dimensión de análisis: ${dimension.descripcion}`,\n subtitle: `Encuesta de ambiente laboral`,\n width: 300,\n marginBottom: 45,\n style: { fontSize: \"14px\"},\n y: {label: \"Frecuencia (n)\", grid: true},\n x: {label: \"Puntaje\", domain: [0,6], ticks: 5},\n marks: [\n Plot.rectY(clima2, Plot.binX({y:\"count\"}, {x: dimension.preg, curve: \"natural\", fill: \"salmon\", fillOpacity: 1})),\n // Plot.areaY(clima2, Plot.binX({y:\"count\"}, {x: dimension.preg, curve: \"natural\", stroke: \"black\", fill: \"salmon\", fillOpacity: 0.4})),\n Plot.ruleY([0]),\n Plot.ruleX([0]),\n Plot.ruleX(\n [d3.mean(clima2, d => d[dimension.preg]),\n // d3.median(clima2, d => d[dimension.preg]),\n d3.min(clima2, d => d[dimension.preg]),\n d3.max(clima2, d => d[dimension.preg]),\n ], {stroke: \"gray\"}),\n Plot.text(\n [`Media: ${d3.format(\".2f\")(d3.mean(clima2, d => d[dimension.preg]))}`],\n {x: ppp, y: 40, fontSize: 16, fontWeight: \"bold\", fill: \"black\"}\n )\n ]\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3125,"value":"ppp = (d3.mean(clima2, d => d[dimension.preg]))","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2476,"value":"Plot.plot({\n width: 200,\n color: {legend: false, marginLeft: 65},\n caption: \"Figura 1. Elaboración propia\",\n x: {\n label: null\n },\n y: {\n grid: true,\n inset: 25,\n },\n marks: [\n Plot.boxY(clima2, {x: \"sexo\", y: dimension.preg, fill: \"sexo\", sort: {y: \"x\"}})\n ],\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2461,"value":"Plot.plot({\n height: 100,\n marks: [\n Plot.dot(clima2, Plot.dodgeY({x: dimension.preg, fill: \"red\"}))\n ]\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2494,"value":"Plot.plot({\n width: 500,\n height: 300,\n grid: true,\n marginRight: 50,\n color: {legend: true,\n range: [\"lightblue\",\"salmon\"]\n },\n marks: [\n //Plot.rectY(clima2, Plot.binX({y: \"count\"}, {x: dimension.preg, fx: \"sexo\", fill: \"sexo\"})),\n Plot.rectY(clima2, Plot.binX({y: \"count\"}, {x: dimension.preg, fy: \"sexo\", fill: \"sexo\"})),\n Plot.ruleY([0])\n ]\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2741,"value":"densidad=Plot.plot({\n height: 300,\n marginLeft: 60,\n //y: { axis: null },\n x: { nice: true },\n fy: { domain: [\"Hombres\", \"Mujeres\"] }, // excludes N/A\n color: { legend: true },\n //facet: { data: clima2, y: \"sexo\" },\n marks: [\n Plot.areaY(\n clima2,\n Plot.binX(\n { y2: \"count\" }, // using y2 to avoid areaY’s implicit stacking\n {\n x: dimension.preg,\n fill: \"sexo\",\n fillOpacity: 0.1,\n thresholds: 10,\n curve: \"natural\"\n }\n )\n ),\n Plot.ruleY([0]),\n Plot.lineY(\n clima2,\n Plot.binX(\n { y: \"count\" },\n {\n x: dimension.preg,\n stroke: \"sexo\",\n thresholds: 10,\n curve: \"natural\"\n }\n )\n )\n ]\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":415,"value":"import {BoxPlot} from \"@d3/box-plot\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1517,"value":"$30","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1515,"value":"function legend({color, ...options}) {\n return Legend(color, options);\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W31","stdlib":"1"}} 2d:"$2c:body"