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"jump": 204}, {"sex": "ж", "year": 1999, "sprint": 5.3, "jump": 195}, {"sex": "ж", "year": 1998, "sprint": 4.87, "jump": 201}, {"sex": "м", "year": 1997, "sprint": 4.44, "jump": 228}, {"sex": "ж", "year": 1997, "sprint": 5.81, "jump": 200}, {"sex": "м", "year": 1996, "sprint": 4.84, "jump": 202}, {"sex": "ж", "year": 1999, "sprint": 5.1, "jump": 197}, {"sex": "м", "year": 1996, "sprint": 5.98, "jump": 189}, {"sex": "ж", "year": 1999, "sprint": 6.44, "jump": 223}, {"sex": "м", "year": 1997, "sprint": 4.17, "jump": 209}, {"sex": "м", "year": 1998, "sprint": 5.7, "jump": 207}, {"sex": "ж", "year": 1998, "sprint": 4.76, "jump": 200}, {"sex": "ж", "year": 1998, "sprint": 5.68, "jump": 215}, {"sex": "м", "year": 1996, "sprint": 4.11, "jump": 192}, {"sex": "ж", "year": 1997, "sprint": 4.93, "jump": 204}, {"sex": "ж", "year": 1998, "sprint": 6, "jump": 217}, {"sex": "м", "year": 1999, "sprint": 5.58, "jump": 180}, {"sex": "ж", "year": 1998, "sprint": 4.25, "jump": 221}, {"sex": "ж", "year": 1996, "sprint": 5.99, "jump": 202}, {"sex": "ж", "year": 1998, "sprint": 5.31, "jump": 202}, {"sex": "ж", "year": 1997, "sprint": 4.89, "jump": 218}, {"sex": "ж", "year": 1999, "sprint": 5.33, "jump": 232}, {"sex": "м", "year": 1997, "sprint": 4.39, "jump": 211}, {"sex": "м", "year": 1999, "sprint": 4.09, "jump": 199}, {"sex": "ж", "year": 1996, "sprint": 5.69, "jump": 206}, {"sex": "м", "year": 1996, "sprint": 5.47, "jump": 184}, {"sex": "м", "year": 1996, "sprint": 4.37, "jump": 233}, {"sex": "ж", "year": 1997, "sprint": 5.15, "jump": 179}, {"sex": "ж", "year": 1996, "sprint": 4.82, "jump": 209}, {"sex": "ж", "year": 1999, "sprint": 4.46, "jump": 205}, {"sex": "ж", "year": 1998, "sprint": 5.23, "jump": 223}, {"sex": "ж", "year": 1998, "sprint": 5.45, "jump": 213}, {"sex": "ж", "year": 1996, "sprint": 5.48, "jump": 178}, {"sex": "ж", "year": 1999, "sprint": 4.23, "jump": 179}, {"sex": "м", "year": 1997, "sprint": 4.98, "jump": 193}, {"sex": "ж", "year": 1996, "sprint": 5.25, "jump": 212}, {"sex": "ж", "year": 1997, "sprint": 4.25, "jump": 206}, {"sex": "ж", "year": 1997, "sprint": 4.3, "jump": 179}, {"sex": "ж", "year": 1998, "sprint": 5.19, "jump": 206}, {"sex": "м", "year": 1997, "sprint": 5.54, "jump": 233}, {"sex": "ж", "year": 1999, "sprint": 5.19, "jump": 177}, {"sex": "м", "year": 1996, "sprint": 5.29, "jump": 194}, {"sex": "ж", "year": 1998, "sprint": 4.47, "jump": 223}, {"sex": "ж", "year": 1996, "sprint": 5.68, "jump": 190}, {"sex": "ж", "year": 1998, "sprint": 4.95, "jump": 178}, {"sex": "ж", "year": 1999, "sprint": 5.38, "jump": 194}, {"sex": "ж", "year": 1999, "sprint": 5.23, "jump": 184}, {"sex": "ж", "year": 1996, "sprint": 5.16, "jump": 196}, {"sex": "м", "year": 1999, "sprint": 4.16, "jump": 193}, {"sex": "ж", "year": 1998, "sprint": 4.36, "jump": 222}, {"sex": "ж", "year": 1998, "sprint": 4.5, "jump": 194}, {"sex": "ж", "year": 1998, "sprint": 5.24, "jump": 229}, {"sex": "ж", "year": 1998, "sprint": 5.8, "jump": 189}, {"sex": "м", "year": 1999, "sprint": 5.86, "jump": 235}, {"sex": "м", "year": 1999, "sprint": 5.23, "jump": 194}, {"sex": "ж", "year": 1996, "sprint": 5.24, "jump": 200}, {"sex": "ж", "year": 1997, "sprint": 5.93, "jump": 214}, {"sex": "ж", "year": 1999, "sprint": 4.9, "jump": 205}, {"sex": "м", "year": 1996, "sprint": 4.2, "jump": 227}, {"sex": "ж", "year": 1996, "sprint": 5.71, "jump": 199}, {"sex": "м", "year": 1997, "sprint": 5.3, "jump": 227}, {"sex": "ж", "year": 1996, "sprint": 5.99, "jump": 199}, {"sex": "ж", "year": 1997, "sprint": 5.1, "jump": 178}, {"sex": "ж", "year": 1999, "sprint": 5.98, "jump": 223}, {"sex": "м", "year": 1996, "sprint": 5.86, "jump": 205}, {"sex": "ж", "year": 1998, "sprint": 4.53, "jump": 227}, {"sex": "ж", "year": 1997, "sprint": 5.5, "jump": 214}, {"sex": "ж", "year": 1996, "sprint": 4.76, "jump": 213}, {"sex": "м", "year": 1998, "sprint": 4.72, "jump": 227}, {"sex": "м", "year": 1998, "sprint": 5.73, "jump": 188}, {"sex": "ж", "year": 1997, "sprint": 5.72, "jump": 216}, {"sex": "ж", "year": 1997, "sprint": 4.27, "jump": 208}, {"sex": "м", "year": 1996, "sprint": 5.06, "jump": 183}, {"sex": "ж", "year": 1999, "sprint": 6.86, "jump": 192}]3d:T66d,Plot.plot({ title:"Медианы двух спортивных результатов в восьми группах", caption:"Одна точка — одна группа «пол × год рождения». Координаты — медианы бега 30 м и прыжка, размер точки показывает число записей. Это сравнение групп, а не диаграмма индивидуальной корреляции; меньшая длительность бега означает более быстрый результат.", width:Math.min(940,Math.max(600,width)),height:430,margin:35,marginLeft:70,marginBottom:60,grid:true, x:{domain:[4.7,5.5],label:"Медианное время бега 30 м, с"}, y:{domain:[195,215],label:"Медианная длина прыжка, см"}, color:{domain:sport.sexes,range:["#bb7c55","#4c78a8"],legend:true},r:{range:[5,13],label:"Записей в группе",legend:true}, marks:[Plot.dot(sport.groups,{x:"sprintMedian",y:"jumpMedian",fill:"sex",r:"n",stroke:"white",strokeWidth:1.2, title:d=>`${d.sex}, ${d.year}\nn = ${d.n}\nМедиана бега: ${d.sprintMedian.toFixed(3)} с\nМедиана прыжка: ${d.jumpMedian} см`,tip:true}), Plot.text(sport.groups.filter(d=>d.year%2===0),{x:"sprintMedian",y:"jumpMedian",text:d=>`${d.sex==="Женщины"?"ж":"м"}·${String(d.year).slice(-2)}`,dy:-17,fontSize:11}), Plot.text(sport.groups.filter(d=>d.year%2!==0),{x:"sprintMedian",y:"jumpMedian",text:d=>`${d.sex==="Женщины"?"ж":"м"}·${String(d.year).slice(-2)}`,dy:19,fontSize:11})] }) 3e:T668,{ const groups=sport.groups.map(g=>{ const rows=sport.data.filter(d=>d.sex===g.sex && d.year===g.year); const count=rows.filter(d=>d.sprint`${d.sex}, ${d.year}\n${d.count} из ${d.n}`,tip:true}), Plot.text(groups.filter(d=>d.rate<=0.55),{x:"year",y:"sex",text:d=>`${(100*d.rate).toFixed(1)}%\nn = ${d.n}`,fill:"#17324a",fontSize:13}), Plot.text(groups.filter(d=>d.rate>0.55),{x:"year",y:"sex",text:d=>`${(100*d.rate).toFixed(1)}%\nn = ${d.n}`,fill:"white",fontSize:13})] }); } 3f:T533,listingText = "total 0\ndrwxr-xr-x@ 4 501 20 128 Nov 8 16:55 analysis\ndrwxr-xr-x@ 5 501 20 160 Nov 8 16:55 datasets\ndrwxr-xr-x@ 4 501 20 128 Nov 8 16:55 notes\ndrwxr-xr-x@ 4 501 20 128 Nov 8 16:55 visuals\n\npractice4_catalog/analysis:\ntotal 16\n-rw-r--r--@ 1 501 20 464 Nov 8 16:55 clean.py\n-rw-r--r--@ 1 501 20 310 Nov 8 16:55 group.js\n\npractice4_catalog/datasets:\ntotal 0\ndrwxr-xr-x@ 3 501 20 96 Nov 8 16:55 catalog\ndrwxr-xr-x@ 3 501 20 96 Nov 8 16:55 sport\ndrwxr-xr-x@ 3 501 20 96 Nov 8 16:55 weather\n\npractice4_catalog/datasets/catalog:\ntotal 8\n-rw-r--r--@ 1 501 20 369 Nov 8 16:55 description.json\n\npractice4_catalog/datasets/sport:\ntotal 8\n-rw-r--r--@ 1 501 20 557 Nov 8 16:55 training_demo.csv\n\npractice4_catalog/datasets/weather:\ntotal 8\n-rw-r--r--@ 1 501 20 1414 Nov 8 16:55 daily_demo.csv\n\npractice4_catalog/notes:\ntotal 16\n-rw-r--r--@ 1 501 20 686 Nov 8 16:55 assignment.md\n-rw-r--r--@ 1 501 20 522 Nov 8 16:55 checks.md\n\npractice4_catalog/visuals:\ntotal 0\ndrwxr-xr-x@ 3 501 20 96 Nov 8 16:55 pack\ndrwxr-xr-x@ 3 501 20 96 Nov 8 16:55 sunburst\n\npractice4_catalog/visuals/pack:\ntotal 8\n-rw-r--r--@ 1 501 20 574 Nov 8 16:55 README.md\n\npractice4_catalog/visuals/sunburst:\ntotal 8\n-rw-r--r--@ 1 501 20 611 Nov 8 16:55 README.md\n"40:Tdf7,{ const size=Math.min(800,Math.max(600,width)),radius=size/2-12; const root=d3.hierarchy(fileTree.root).sum(d=>d.size||0).sort((a,b)=>b.value-a.value); d3.partition().size([2*Math.PI,radius])(root); const color=d3.scaleOrdinal(root.children.map(d=>d.data.name),d3.schemeTableau10); const branch=d=>d.ancestors().find(a=>a.depth===1)?.data.name; const pathName=d=>d.ancestors().reverse().map(a=>a.data.name).join("/"); const arc=d3.arc().startAngle(d=>d.x0).endAngle(d=>d.x1).padAngle(d=>Math.min((d.x1-d.x0)/2,0.007)).padRadius(radius/2).innerRadius(d=>d.y0).outerRadius(d=>Math.max(d.y0,d.y1-1)); const svg=d3.create("svg").attr("viewBox",[-size/2,-size/2,size,size]).attr("width",size).attr("height",size).attr("role","img").attr("aria-label","Sunburst авторского каталога: угловые доли файлов по размеру в байтах").style("max-width","100%").style("height","auto").style("font","10px system-ui"); const info=htl.html`

Наведите на сектор для подсказки или нажмите его, чтобы выделить ветку.

`; const sectors=svg.append("g").selectAll("path").data(root.descendants().filter(d=>d.depth)).join("path").attr("fill",d=>color(branch(d))).attr("d",arc).style("cursor","pointer"); sectors.append("title").text(d=>`${pathName(d)}\n${d.value.toLocaleString("ru-RU")} байт\n${(100*d.value/root.value).toFixed(1)}% всего`); sectors.on("click",(event,d)=>{ info.textContent=`${pathName(d)}: ${d.value.toLocaleString("ru-RU")} байт (${(100*d.value/root.value).toFixed(1)}% всех файлов).`; sectors.attr("opacity",p=>p===d || p.ancestors().includes(d)?1:0.22); }); svg.append("g").attr("pointer-events","none").selectAll("text").data(root.descendants().filter(d=>d.depth && d.x1-d.x0>0.14)).join("text") .attr("transform",d=>{const angle=(d.x0+d.x1)/2*180/Math.PI;return `rotate(${angle-90}) translate(${(d.y0+d.y1)/2},0) rotate(${angle<180?0:180})`;}) .attr("dy","0.35em").attr("text-anchor","middle").text(d=>d.data.name.length>15?d.data.name.slice(0,14)+"…":d.data.name); svg.append("text").attr("text-anchor","middle").attr("y",-4).style("font-size","17px").style("font-weight","600").text(`${fileTree.bytes} байт`); svg.append("text").attr("text-anchor","middle").attr("y",17).style("font-size","12px").text(`${fileTree.files} файлов`); const reset=htl.html``; reset.addEventListener("click",()=>{sectors.attr("opacity",1);info.textContent="Наведите на сектор для подсказки или нажмите его, чтобы выделить ветку.";}); return htl.html`

${svg}

Sunburst построен из фактического вывода ls. Кольца показывают уровни вложенности, цвет — верхний раздел, угловые доли — сумму размеров файлов. Размеры каталогов из ls не суммируются. Вложенные кольца не являются дополнительными байтами.

${info}${reset}

${d.data.name}: ${d.value} байт (${(100*d.value/root.value).toFixed(1)}%)

`; } 41:Tbf0,{ const size=Math.min(800,Math.max(600,width)); const root=d3.pack().size([size-24,size-24]).padding(5)(d3.hierarchy(packPlan).sum(d=>d.hours||0).sort((a,b)=>b.value-a.value)); const color=d3.scaleOrdinal(root.children.map(d=>d.data.name),d3.schemeTableau10); const branch=d=>d.ancestors().find(a=>a.depth===1)?.data.name; const svg=d3.create("svg").attr("viewBox",[0,0,size,size]).attr("width",size).attr("height",size).attr("role","img").attr("aria-label","Pack авторского плана: площади листовых кругов показывают часы задач").style("max-width","100%").style("height","auto").style("font","11px system-ui"); const info=htl.html`

Наведите на круг для подсказки или нажмите его, чтобы прочитать задачу и вес.

`; const group=svg.append("g").attr("transform","translate(12,12)"); const circles=group.selectAll("circle").data(root.descendants()).join("circle").attr("cx",d=>d.x).attr("cy",d=>d.y).attr("r",d=>d.r) .attr("fill",d=>d.depth?color(branch(d)):"white").attr("fill-opacity",d=>d.children?0.16:0.9).attr("stroke",d=>d.depth?color(branch(d)):"#bac9cf").attr("stroke-width",1).style("cursor","pointer"); circles.append("title").text(d=>`${d.ancestors().reverse().map(a=>a.data.name).join(" / ")}\n${d.value} ч`); circles.on("click",(event,d)=>{info.textContent=`${d.ancestors().reverse().map(a=>a.data.name).join(" / ")}: ${d.value} ч (${(100*d.value/root.value).toFixed(1)}% общего плана).`;}); const labels=group.selectAll("text").data(root.leaves()).join("text").attr("x",d=>d.x).attr("y",d=>d.y-3).attr("text-anchor","middle").attr("pointer-events","none").attr("fill","#102c3b"); labels.append("tspan").attr("x",d=>d.x).text(d=>d.data.name.length>12?d.data.name.slice(0,11)+"…":d.data.name); labels.append("tspan").attr("x",d=>d.x).attr("dy","1.4em").style("font-weight","600").text(d=>`${d.value} ч`); return htl.html`

${svg}

Pack: авторский учебный план разработки портала. Площадь каждого листового круга пропорциональна числу часов, а не радиус. Внешние круги показывают вложенность; их площадь включает промежутки и не является точной суммой площадей листьев. Значения — плановые оценки, не фактические трудозатраты.

${info}

Всего: ${root.value} ч, направлений: ${root.children.length}, задач: ${root.leaves().length}.

${d.data.name}: ${d.value} ч (${(100*d.value/root.value).toFixed(1)}%)

`; } 42:Td47,{ const groupTotal=d3.sum(sport.groups,d=>d.n); const fileRoot=d3.hierarchy(fileTree.root).sum(d=>d.size||0); const planRoot=d3.hierarchy(packPlan).sum(d=>d.hours||0); const biggest=fileRoot.children.reduce((a,b)=>a.value>b.value?a:b); const workload=planRoot.children.reduce((a,b)=>a.value>b.value?a:b); const rates=sport.groups.map(g=>({...g,fast:sport.data.filter(d=>d.sex===g.sex && d.year===g.year && d.sprintd.fast); return htl.html`

Выводы и проверка расчётов

Восемь групп «пол × год рождения» содержат ${groupTotal} записей; это совпадает с размером исходного листа (${sport.data.length}). Пропусков в выбранных четырёх полях нет. Медианы и доли считаются отдельно внутри каждой группы; знаменатели не подменяются общим размером выборки.

Медианные длины прыжка по группам лежат между ${d3.min(sport.groups,d=>d.jumpMedian)} и ${d3.max(sport.groups,d=>d.jumpMedian)} см; медианное время бега — между ${d3.min(sport.groups,d=>d.sprintMedian).toFixed(3)} и ${d3.max(sport.groups,d=>d.sprintMedian).toFixed(3)} с. При пороге ${sprintLimit.toFixed(2)} с условию «быстрее порога» соответствуют ${totalFast} из ${sport.data.length} записей. Различия описывают эту выборку и не доказывают влияние пола или года рождения на результат.

Сводная таблица восьми групп

${Inputs.table(rates,{columns:["sex","year","n","sprintMedian","jumpMedian","fast"],header:{sex:"Пол",year:"Год рождения",n:"n",sprintMedian:"Медиана бега, с",jumpMedian:"Медиана прыжка, см",fast:"Быстрее порога"},format:{sprintMedian:d=>d.toFixed(3)},rows:8})}

Sunburst: ${fileTree.files} обычных файлов, сумма весов листьев ${fileRoot.value} байт, сумма размеров из ls ${fileTree.bytes} байт. Наибольший верхний раздел — ${biggest.data.name}: ${biggest.value} байт (${(100*biggest.value/fileRoot.value).toFixed(1)}%). Веса каталогов не добавляются повторно.

Pack: ${planRoot.leaves().length} задач, сумма листовых весов ${d3.sum(planRoot.leaves(),d=>d.value)} ч, вес корня ${planRoot.value} ч. Самое трудоёмкое направление авторского плана — ${workload.data.name}: ${workload.value} ч. Все значения положительные. Это условный план для демонстрации иерархии.

Обе иерархии подготовлены самостоятельно: Sunburst использует новый авторский каталог, Pack — новый авторский план. Данные и примеры преподавателя для них не заимствованы.

`; } 43:[] 38:{"id":"b82eba6e7cd94bb1","slug":"prakticheskaya-rabota-4-gruppirovki-i-ierarkhicheskie-diagrammy","title":"Практическая работа 4. Группировки и иерархические диаграммы","thumbnail":"38a900e55981cd89b96289e3a4c283ee663d10c880c15c1f9b97c723fb2b6ab5","access_level":"public","create_time":"$D2026-11-08T09:59:41.553Z","update_time":"$D2026-11-08T10:01:43.883Z","view_time":null,"first_public_time":"$D2026-11-08T10:04:27.428Z","has_unpublished_edits":null,"fork":false,"stars":0,"starred":false,"owner":{"type":"team","id":"1c3d57b14ac091ae","login":"fferidax","name":"Fferidax","avatar_url":null,"tier":"free_2026","bio":"","followed_by_you":false,"follows_you":false},"version":78,"publish_version":78,"role":null,"authored":false,"authors":[{"type":"individual","id":"67d9cc21aad07c3e","login":"fferidax","name":"Fferidax","avatar_url":null,"tier":null,"bio":"","followed_by_you":false,"follows_you":false}],"members":[{"type":"team","id":"1c3d57b14ac091ae","login":"fferidax","name":"Fferidax","avatar_url":null,"tier":"free_2026","role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"titling":"auto","title":"Практическая работа 4. Группировки и иерархические диаграммы","cells":[{"id":1,"value":"# Практическая работа 4. Группировки и иерархические диаграммы\n\nАвтор: Волков Федор.\n\n**Цель:** исследовать распределения и групповые показатели спортивных результатов, а затем сравнить две самостоятельно подготовленные иерархии с помощью Sunburst и Pack.\n\nИсточник спортивных данных: предоставленный файл `competition.xlsx`, лист «спорт». Учебный материал: [«Группировка данных для визуализации»](https://observablehq.com/d/e39c4325267d8e5a).\n\nНиже сформулированы три самостоятельные задачи с группировкой по полу и году рождения. Используются boxY, диаграмма групповых медиан и карта долей. Примеры преподавателя с рождениями и столбцами сумм не повторяются. Для Sunburst создан авторский каталог файлов, для Pack — авторский план трудозатрат.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2,"value":"$3c","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3,"value":"sport = {\n const data=sportRaw.map(d=>({...d,sex:d.sex===\"ж\"?\"Женщины\":d.sex===\"м\"?\"Мужчины\":d.sex}));\n const groups=Array.from(d3.group(data,d=>d.sex,d=>d.year),([sex,years])=>Array.from(years,([year,rows])=>({\n sex,year,n:rows.length,sprintMedian:d3.median(rows,d=>d.sprint),jumpMedian:d3.median(rows,d=>d.jump),\n jumpQ1:d3.quantile(rows.map(d=>d.jump).sort(d3.ascending),0.25),jumpQ3:d3.quantile(rows.map(d=>d.jump).sort(d3.ascending),0.75)\n }))).flat().sort((a,b)=>d3.ascending(a.sex,b.sex)||a.year-b.year);\n return {data,groups,years:[1996,1997,1998,1999],sexes:[\"Женщины\",\"Мужчины\"]};\n}\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4,"value":"## Данные и правила расчёта\n\nВ листе «спорт» 1000 записей: 592 с кодом «ж» и 408 с кодом «м», годы рождения — 1996–1999. Используются пол, год рождения, бег 30 м в секундах и прыжок с места в сантиметрах. В выбранных полях пропусков нет. Имена и фамилии не включены в публичные данные.\n\nГруппа определяется парой **пол × год рождения**, всего восемь групп. Для каждой группы сохраняется собственный размер n. Медианы и доли считаются внутри группы. Время проведения испытаний и условия отбора неизвестны; год рождения не заменяется возрастом.\n\nПервый график использует встроенное агрегирование boxY, второй — `d3.group` и медианы, третий — групповой подсчёт результатов, удовлетворяющих выбранному условию.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":5,"value":"## 1. Распределение прыжков: коробчатые диаграммы\n\n**Задача:** сравнить не только средний уровень, но и разброс длины прыжка между четырьмя годами рождения отдельно в двух группах пола. Коробки показывают медиану, межквартильный диапазон и крайние наблюдения. Одинаковая ось Y позволяет сравнивать панели.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":6,"value":"Plot.plot({\n title:\"Распределение длины прыжка по году рождения и полу\",\n caption:\"Группировка boxY по году рождения; fx разделяет две группы пола. Линия внутри коробки — медиана, края — 25-й и 75-й процентили, усы — значения в пределах 1,5 межквартильного размаха, отдельные точки — наблюдения за пределами усов. Общий domain Y делает панели сопоставимыми.\",\n width:Math.min(940,Math.max(600,width)),height:410,margin:35,marginLeft:65,marginBottom:60,\n x:{type:\"band\",domain:sport.years,label:\"Год рождения\"},\n y:{domain:[170,245],label:\"Прыжок с места, см\",grid:true},\n fx:{domain:sport.sexes,label:null},\n color:{domain:sport.sexes,range:[\"#bb7c55\",\"#4c78a8\"],legend:true},\n marks:[Plot.boxY(sport.data,{x:\"year\",y:\"jump\",fx:\"sex\",fill:\"sex\",tip:true})]\n})\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":7,"value":"## 2. Сравнение медиан двух показателей\n\n**Задача:** сопоставить типичное время бега 30 м и типичную длину прыжка в восьми группах. Группировка строится явно через `d3.group(data, sex, year)`. Одна точка представляет группу целиком, её размер связан с числом записей. Подписи содержат код пола и последние две цифры года рождения; полные значения доступны в подсказке и сводной таблице.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":8,"value":"$3d","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":9,"value":"## 3. Доля результатов быстрее выбранного порога\n\n**Задача:** сравнить доли результатов бега 30 м быстрее заданного времени по полу и году рождения. В каждой ячейке знаменатель равен n этой группы. Проценты позволяют сравнивать группы разного размера. Порог — исследовательский параметр, не норматив. Передвиньте ползунок, чтобы проверить устойчивость различий.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":10,"value":"viewof sprintLimit = Inputs.range([4,7.5],{label:\"Бег 30 м: строго быстрее, с\",value:5,step:0.05,width:500})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":11,"value":"$3e","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":12,"value":"## 4. Sunburst: структура собственного каталога\n\n**Задача:** определить, какие разделы авторского учебного каталога занимают наибольшую долю байтов и как файлы распределены по уровням вложенности.\n\nСпециально создан новый каталог `practice4_catalog` из девяти авторских файлов: вымышленные демонстрационные CSV, описание, примеры обработки и методические заметки. Файлы преподавателя в каталог не копировались.\n\nКоманда реально выполнена с перенаправлением вывода в текстовый файл:\n\n```sh\nLC_ALL=C ls -lnR practice4_catalog > practice4_ls.txt\n```\n\nКлючи: `-l` — подробный вывод с размером файла, `-n` — числовые идентификаторы владельца и группы, `-R` — рекурсивный обход. Ниже сохранён результат этой команды. Дерево строится парсером именно из этого текста: строки обычных файлов становятся листьями с весом в байтах; размеры каталогов и строки `total` исключаются.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":13,"value":"$3f","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":14,"value":"fileTree = {\n const root={name:\"practice4_catalog\",children:[]};\n let current=\"practice4_catalog\";\n let files=0,bytes=0;\n for (const rawLine of listingText.split(/\\r?\\n/)) {\n const line=rawLine.trim();\n if (!line || line.startsWith(\"total \")) continue;\n if (line.endsWith(\":\")) {current=line.slice(0,-1);continue;}\n if (!line.startsWith(\"-\")) continue;\n const parts=line.split(/\\s+/);\n const size=Number(parts[4]);\n const name=parts.slice(8).join(\" \");\n if (!Number.isFinite(size) || size<0 || !name) throw new Error(\"Не удалось разобрать строку ls: \"+line);\n const path=(current+\"/\"+name).replace(/^practice4_catalog\\//,\"\").split(\"/\");\n let node=root;\n for (const folder of path.slice(0,-1)) {\n let child=node.children.find(d=>d.name===folder);\n if (!child) {child={name:folder,children:[]};node.children.push(child);}\n node=child;\n }\n node.children.push({name:path[path.length-1],size});\n files++;bytes+=size;\n }\n return {root,files,bytes};\n}\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":15,"value":"htl.html`

Разобрано файлов: ${fileTree.files}; общий размер: ${fileTree.bytes} байт.

Скачать исходный вывод ls: practice4_ls.txt

Посмотреть полный вывод ls -lnR

${listingText}

`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":16,"value":"$40","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":17,"value":"## 5. Pack: авторский план разработки учебного портала\n\n**Задача:** сравнить плановую трудоёмкость направлений и отдельных задач проекта. Данные составлены самостоятельно: корень «Учебный портал», четыре направления и 13 задач с оценками часов. Эти оценки условные и не описывают чью-либо фактическую работу.\n\nИерархия отличается от Sunburst и от примеров преподавателя. Вес каждого листа — плановые часы; вес родителя — сумма дочерних задач. В Pack сравниваются площади листовых кругов, а не их радиусы. Наведите на круг или нажмите его для просмотра полного пути и часов.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":18,"value":"packPlan = ({\"name\": \"Учебный портал\", \"children\": [{\"name\": \"Данные\", \"children\": [{\"name\": \"Импорт\", \"hours\": 6}, {\"name\": \"Очистка\", \"hours\": 8}, {\"name\": \"Контроль\", \"hours\": 5}]}, {\"name\": \"Визуализации\", \"children\": [{\"name\": \"Группировки\", \"hours\": 7}, {\"name\": \"Sunburst\", \"hours\": 10}, {\"name\": \"Pack\", \"hours\": 8}, {\"name\": \"Подсказки\", \"hours\": 4}]}, {\"name\": \"Интерфейс\", \"children\": [{\"name\": \"Навигация\", \"hours\": 5}, {\"name\": \"Фильтры\", \"hours\": 6}, {\"name\": \"Адаптивность\", \"hours\": 4}]}, {\"name\": \"Публикация\", \"children\": [{\"name\": \"Проверка\", \"hours\": 2}, {\"name\": \"Описание\", \"hours\": 3}, {\"name\": \"Снимки\", \"hours\": 2}]}]})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":19,"value":"$41","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":20,"value":"$42","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W43","stdlib":"2"}} 33:null