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Guinea","CountryCode":"GNQ"},{"1960":1407631,"1961":1441297,"1962":1476321,"1963":1512671,"1964":1550297,"1965":1589187,"1966":1629333,"1967":1670821,"1968":1713846,"1969":1758668,"1970":1805480,"1971":1854395,"1972":1905406,"1973":1958444,"1974":2013382,"1975":2070145,"1976":2128597,"1977":2188806,"1978":2251129,"1979":2316054,"1980":2383858,"1981":2453689,"1982":2525005,"1983":2598626,"1984":2675717,"1985":2756493,"1986":2843141,"1987":2933871,"1988":3020278,"1989":3091083,"1990":3139083,"1991":3160644,"1992":3160617,"1993":3150811,"1994":3147871,"1995":3164095,"1996":3202598,"1997":3260612,"1998":3337227,"1999":3429656,"2000":3535156,"2001":3655006,"2002":3788532,"2003":3928408,"2004":4064958,"2005":4191273,"2006":4304440,"2007":4406299,"2008":4500638,"2009":4593549,"2010":4689664,"2011":4789568,"2012":null,"2013":null,"2014":null,"2015":null,"CountryNameRu":"Эритрея","CountryName":"Eritrea","CountryCode":"ERI"},{"1960":1211537,"1961":1225077,"1962":1241623,"1963":1258857,"1964":1277086,"1965":1294566,"1966":1308597,"1967":1318946,"1968":1331214,"1969":1345249,"1970":1360076,"1971":1376955,"1972":1392518,"1973":1405951,"1974":1418169,"1975":1429352,"1976":1439576,"1977":1450211,"1978":1460188,"1979":1468333,"1980":1477219,"1981":1487666,"1982":1498414,"1983":1508745,"1984":1518617,"1985":1528781,"1986":1540190,"1987":1552221,"1988":1561900,"1989":1568131,"1990":1569174,"1991":1561314,"1992":1533091,"1993":1494128,"1994":1462514,"1995":1436634,"1996":1415594,"1997":1399535,"1998":1386156,"1999":1380620,"2000":1396985,"2001":1388115,"2002":1379350,"2003":1370720,"2004":1362550,"2005":1354775,"2006":1346810,"2007":1340680,"2008":1337090,"2009":1334515,"2010":1331475,"2011":1327439,"2012":1322696,"2013":1317997,"2014":1314545,"2015":1311998,"CountryNameRu":"Эстония","CountryName":"Estonia","CountryCode":"EST"},{"1960":22151220,"1961":22671130,"1962":23221330,"1963":23798380,"1964":24396960,"1965":25013550,"1966":25641180,"1967":26280770,"1968":26945460,"1969":27653620,"1970":28415000,"1971":29246170,"1972":30135010,"1973":31028730,"1974":31855290,"1975":32568540,"1976":33144540,"1977":33614150,"1978":34053430,"1979":34569430,"1980":35239980,"1981":36093320,"1982":37109520,"1983":38259380,"1984":39493500,"1985":40776000,"1986":42097110,"1987":43470220,"1988":44908700,"1989":46433600,"1990":48057100,"1991":49784990,"1992":51602780,"1993":53477940,"1994":55366520,"1995":57237220,"1996":59076420,"1997":60893260,"1998":62707550,"1999":64550160,"2000":66443600,"2001":68393130,"2002":70391170,"2003":72432290,"2004":74506980,"2005":76608430,"2006":78735670,"2007":80891970,"2008":83079610,"2009":85302100,"2010":87561820,"2011":89858700,"2012":92191210,"2013":94558380,"2014":96958740,"2015":99390750,"CountryNameRu":"Эфиопия","CountryName":"Ethiopia","CountryCode":"ETH"},{"1960":17396000,"1961":17949960,"1962":18459440,"1963":18936140,"1964":19390550,"1965":19832000,"1966":20268590,"1967":20707260,"1968":21153720,"1969":21612520,"1970":22087000,"1971":22602370,"1972":23126280,"1973":23655910,"1974":24189840,"1975":24728000,"1976":25268090,"1977":25805580,"1978":26355320,"1979":26940790,"1980":27576000,"1981":28254660,"1982":28971840,"1983":29724000,"1984":30505360,"1985":31307880,"1986":32121290,"1987":32933080,"1988":33728500,"1989":34490550,"1990":35200000,"1991":35933110,"1992":36690740,"1993":37473800,"1994":38283220,"1995":39120000,"1996":40000250,"1997":40926060,"1998":41899680,"1999":42923480,"2000":44000000,"2001":44909740,"2002":45448100,"2003":46034020,"2004":46641100,"2005":47270060,"2006":47921680,"2007":48596780,"2008":49296220,"2009":50020920,"2010":50771820,"2011":51549960,"2012":52356380,"2013":53192220,"2014":54058650,"2015":54956920,"CountryNameRu":"Южно-Африканская Республика","CountryName":"South Africa","CountryCode":"ZAF"},{"1960":2955044,"1961":3011112,"1962":3069990,"1963":3131686,"1964":3196258,"1965":3263767,"1966":3334254,"1967":3407754,"1968":3484335,"1969":3564079,"1970":3647097,"1971":3733547,"1972":3823605,"1973":3917450,"1974":4015271,"1975":4117299,"1976":4222056,"1977":4329467,"1978":4442665,"1979":4565912,"1980":4701360,"1981":4849708,"1982":5007145,"1983":5165623,"1984":5314358,"1985":5444907,"1986":5559804,"1987":5660153,"1988":5735170,"1989":5771305,"1990":5762190,"1991":5698998,"1992":5593347,"1993":5484372,"1994":5425099,"1995":5452771,"1996":5584223,"1997":5806951,"1998":6092688,"1999":6398416,"2000":6692999,"2001":6967817,"2002":7233237,"2003":7499695,"2004":7784488,"2005":8099908,"2006":8445659,"2007":8815495,"2008":9208598,"2009":9623176,"2010":10056480,"2011":10510120,"2012":10980620,"2013":11453810,"2014":11911180,"2015":12339810,"CountryNameRu":"Южный Судан","CountryName":"South Sudan","CountryCode":"SSD"},{"1960":1629003,"1961":1651915,"1962":1678467,"1963":1707019,"1964":1734763,"1965":1760000,"1966":1783125,"1967":1803891,"1968":1823706,"1969":1844936,"1970":1869000,"1971":1895629,"1972":1925162,"1973":1956080,"1974":1985852,"1975":2013000,"1976":2037716,"1977":2059399,"1978":2080307,"1979":2104141,"1980":2133000,"1981":2162300,"1982":2200100,"1983":2240800,"1984":2279900,"1985":2311100,"1986":2335800,"1987":2350600,"1988":2356400,"1989":2374900,"1990":2390000,"1991":2406042,"1992":2423044,"1993":2441024,"1994":2460002,"1995":2480000,"1996":2509923,"1997":2534069,"1998":2556780,"1999":2574289,"2000":2589389,"2001":2605556,"2002":2615253,"2003":2624695,"2004":2634145,"2005":2643601,"2006":2653042,"2007":2662481,"2008":2671934,"2009":2681386,"2010":2690824,"2011":2699838,"2012":2707805,"2013":2714669,"2014":2720554,"2015":2725941,"CountryNameRu":"Ямайка","CountryName":"Jamaica","CountryCode":"JAM"},{"1960":92500580,"1961":94943000,"1962":95832000,"1963":96812000,"1964":97826000,"1965":98883000,"1966":99790000,"1967":100725000,"1968":101061000,"1969":103172000,"1970":104345000,"1971":105697000,"1972":107188000,"1973":108079000,"1974":110162000,"1975":111940000,"1976":112771000,"1977":113863000,"1978":114898000,"1979":115870000,"1980":116782000,"1981":117648000,"1982":118449000,"1983":119259000,"1984":120018000,"1985":120754000,"1986":121492000,"1987":122091000,"1988":122613000,"1989":123116000,"1990":123537000,"1991":123921000,"1992":124229000,"1993":124536000,"1994":124961000,"1995":125439000,"1996":125757000,"1997":126057000,"1998":126400000,"1999":126631000,"2000":126843000,"2001":127149000,"2002":127445000,"2003":127718000,"2004":127761000,"2005":127773000,"2006":127854000,"2007":128001000,"2008":128063000,"2009":128047000,"2010":128070000,"2011":127817300,"2012":127561500,"2013":127338600,"2014":127131800,"2015":126958500,"CountryNameRu":"Япония","CountryName":"Japan","CountryCode":"JPN"}]3d:T2ecc,{ if (config.start >= config.end) return md`Выберите начальный год раньше конечного.`; const years = d3.range(config.start, config.end + 1); const value = (r,y) => typeof r[String(y)] === "number" && Number.isFinite(r[String(y)]) && r[String(y)] >= 0 ? r[String(y)] : null; const entities = raw.filter(r => !["WLD", "EMU"].includes(r.CountryCode)); const valid = entities.filter(r => value(r,config.start) > 0 && value(r,config.end) !== null); const compared = valid.map(r => ({ страна: r.CountryNameRu, код: r.CountryCode, начало: value(r,config.start), конец: value(r,config.end), прирост: value(r,config.end) - value(r,config.start), "изменение, %": 100 * (value(r,config.end) / value(r,config.start) - 1), "среднегодовой темп, %": 100 * (Math.pow(value(r,config.end)/value(r,config.start),1/(config.end-config.start))-1) })); const filtered = compared.filter(d => d.начало >= config.min * 1e6 && d.страна.toLocaleLowerCase("ru").includes(config.search.trim().toLocaleLowerCase("ru"))); const absolute = filtered.slice().sort((a,b) => d3.descending(a.прирост,b.прирост)); const relative = filtered.slice().sort((a,b) => d3.descending(a["изменение, %"],b["изменение, %"])); const topAbs = absolute.slice(0,10), topRel = relative.slice(0,10); const declined = filtered.filter(d=>d.прирост < 0); const f = n => Number.isFinite(n) ? n.toLocaleString("ru-RU",{maximumFractionDigits:2}) : "нет данных"; const world = raw.find(r=>r.CountryCode === "WLD"); const w0 = world && value(world,config.start), w1 = world && value(world,config.end); const focusCodes = ["RUS","CHN","IND","USA","NGA"]; const focus = entities.filter(r=>focusCodes.includes(r.CountryCode)); const trends = focus.flatMap(r => years.map(y => ({ страна:r.CountryNameRu, год:y, индекс:value(r,y) !== null && value(r,config.start)>0 ? 100*value(r,y)/value(r,config.start) : NaN }))); const missing = raw.reduce((n,r) => n + d3.range(1960,2016).filter(y=>value(r,y) === null).length,0); const duplicates = raw.length - new Set(raw.map(r=>r.CountryCode)).size; const chartWidth = Math.min(940, Math.max(600,width)); const bars = (rows,key,label,color) => Plot.plot({ width:chartWidth,height:430,marginLeft:270,marginRight:65, x:{label,grid:true},y:{label:null,domain:rows.map(d=>d.страна)}, marks:[Plot.barX(rows,{x:key,y:"страна",fill:color,tip:true}), Plot.text(rows,{x:key,y:"страна",text:d=>f(key==="прирост"?d[key]/1e6:d[key]),dx:5,textAnchor:"start"}),Plot.ruleX([0])] }); const absChart = bars(topAbs,"прирост","Абсолютный прирост, человек (подписи столбцов: млн человек)","#218b88"); const relChart = bars(topRel,"изменение, %","Изменение численности населения, %","#6574b9"); const line = Plot.plot({width:chartWidth,height:410,marginLeft:65,marginBottom:50,grid:true, x:{label:"Год",tickFormat:d3.format("d")},y:{label:`Индекс населения (${config.start} = 100)`}, color:{legend:true},marks:[Plot.ruleY([100],{stroke:"#aaa"}), Plot.line(trends,{x:"год",y:"индекс",stroke:"страна",tip:true})]}); const scatter = Plot.plot({width:chartWidth,height:380,marginLeft:70,marginBottom:55,grid:true, x:{label:`Население в ${config.start} году, человек (логарифмическая шкала)`,type:"log"}, y:{label:"Изменение численности, %"},color:{domain:["Рост или без изменений","Сокращение"],range:["#218b88","#c05c58"],legend:true}, marks:[Plot.ruleY([0]),Plot.dot(filtered,{x:"начало",y:"изменение, %",fill:d=>d.прирост<0?"Сокращение":"Рост или без изменений",r:4, title:d=>`${d.страна}\nНачало: ${f(d.начало)}\nКонец: ${f(d.конец)}\nИзменение: ${f(d["изменение, %"])}%`,tip:true})]}); const focusTable = compared.filter(d=>focusCodes.includes(d.код)); const fmt = {начало:f,конец:f,прирост:f,"изменение, %":f,"среднегодовой темп, %":f}; return htl.html`

1. Данные и метод

Источник: файл demografia.xlsx из задания, лист «Население всего». Население измеряется в людях. В файле 219 строк и 56 годовых столбцов за 1960–2015 годы. Названия и коды сохранены по источнику; в таблице представлены страны и территории в классификации исходного файла.

Мировой итог WLD и агрегат «Зона евро» EMU исключены из рейтингов. Для каждой страны или территории вычислены абсолютный прирост P₁ − P₀, относительное изменение (P₁/P₀ − 1) × 100% и среднегодовой темп ((P₁/P₀)^(1/число лет) − 1) × 100%.

Пропущенных или некорректных годовых значений во всём файле: ${missing}. Повторов кодов: ${duplicates}. Для пары выбранных лет доступны ${valid.length} из ${entities.length} стран и территорий. Пропуски не заменяются нулём и не интерполируются; для сравнения нужен положительный базовый уровень.

2. Просмотр исходной таблицы

Показаны названия, коды и выбранные годы. Числа — исходные значения в людях. Щёлкните заголовок столбца для сортировки.

${Inputs.table(raw,{columns:["CountryNameRu","CountryCode",String(config.start),String(config.end)],rows:12})}

3. Фильтрация и расчёт показателей

Период: ${config.start}–${config.end}. Минимальное население в начальном году: ${f(config.min)} млн человек. Поиск: ${config.search || "все названия"}. Отобрано ${filtered.length} записей. Ограничение базового населения позволяет сравнивать относительный рост без доминирования малых территорий. Измените порог, чтобы проверить его влияние.

${Inputs.table(filtered,{columns:["страна","код","начало","конец","прирост","изменение, %","среднегодовой темп, %"],format:fmt,sort:"прирост",reverse:true,rows:12})}

4. Где абсолютный прирост был наибольшим?

Десять лидеров в текущей выборке. Длина столбца отражает прирост в людях, числовая подпись — в миллионах человек.

${absChart}

5. Совпадают ли лидеры по процентному росту?

Десять лидеров по относительному изменению в той же выборке. Рейтинг зависит от минимальной численности в начальном году.

${relChart}

6. Сравнение пяти демографических траекторий

Россия, Китай, Индия, США и Нигерия выбраны для сравнения разных траекторий. В начальном году каждая линия равна 100, поэтому график сравнивает темпы изменения, а не абсолютную численность. Здесь применяются только выбранные годы; поисковый фильтр и порог населения на эти пять линий не влияют.

${line}

${Inputs.table(focusTable,{columns:["страна","начало","конец","изменение, %"],format:fmt})}

7. Размер населения и относительный рост

Каждая точка — страна или территория текущей выборки. Логарифмическая шкала X позволяет сопоставить очень разные размеры населения. Цвет выделяет сокращение численности. Совместное изменение показателей не доказывает причинную связь.

${scatter}

8. Выводы по выбранному периоду

${w0>0 && w1!==null ? `Мировая численность выросла с ${f(w0/1e9)} до ${f(w1/1e9)} млрд человек: на ${f((w1-w0)/1e9)} млрд, или ${f(100*(w1/w0-1))}%. Мировой итог взят из строки WLD, а не из суммы стран и территорий.` : "Для мирового итога нет полного набора значений выбранных лет."}

${topAbs.length ? `Лидер по абсолютному приросту в текущей выборке — ${topAbs[0].страна}: ${f(topAbs[0].прирост/1e6)} млн человек.` : "Текущая выборка пуста; уменьшите порог или очистите поиск."}

${topRel.length ? `Лидер по относительному росту — ${topRel[0].страна}: ${f(topRel[0]["изменение, %"])}%. ${topAbs[0].код===topRel[0].код ? "В этой выборке лидеры двух рейтингов совпадают." : "Лидеры двух рейтингов различаются: абсолютный прирост зависит и от исходной численности, а относительный характеризует масштаб изменения относительно базы."}` : ""}

Сокращение населения отмечено у ${declined.length} записей текущей выборки${declined.length && declined.length<=15 ? ": "+declined.map(d=>d.страна).join(", ") : ""}.

${focusTable.map(d=>htl.html`

${d.страна}: ${f(d.начало/1e6)} → ${f(d.конец/1e6)} млн человек; изменение ${f(d["изменение, %"])}%.

`)}

Данные заканчиваются 2015 годом и не описывают текущую ситуацию. Сравнение общей численности само по себе не позволяет разделить влияние рождаемости, смертности, миграции и изменений территориального охвата. Первичная организация-источник и методология в предоставленном файле не указаны. Выводы относятся к значениям и классификации учебного набора.

`; } 3e:[] 38:{"id":"4ac171ea7a35cd42","slug":"prakticheskaya-rabota-1-rost-naseleniya-stran-i-territoriy","title":"Практическая работа 1. Рост населения стран и территорий","thumbnail":"afcba4ef895adda89e152a3b7a74cdc317d7be5d7e16c4ef795f08bf88eda92d","access_level":"public","create_time":"$D2026-11-08T09:01:44.068Z","update_time":"$D2026-11-08T09:19:20.785Z","view_time":null,"first_public_time":"$D2026-11-08T09:19:52.522Z","has_unpublished_edits":null,"fork":false,"stars":0,"starred":false,"owner":{"type":"team","id":"1c3d57b14ac091ae","login":"fferidax","name":"Fferidax","avatar_url":null,"tier":"free_2026","bio":"","followed_by_you":false,"follows_you":false},"version":25,"publish_version":25,"role":null,"authored":false,"authors":[{"type":"individual","id":"67d9cc21aad07c3e","login":"fferidax","name":"Fferidax","avatar_url":null,"tier":null,"bio":"","followed_by_you":false,"follows_you":false}],"members":[{"type":"team","id":"1c3d57b14ac091ae","login":"fferidax","name":"Fferidax","avatar_url":null,"tier":"free_2026","role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"titling":"auto","title":"Практическая работа 1. Рост населения стран и территорий","cells":[{"id":1,"value":"# Практическая работа 1. Рост населения стран и территорий\n\nАвтор: Волков Федор. Набор данных: demografia.xlsx, лист «Население всего», 1960–2015 годы.\n\n**Задача анализа:** выяснить, какие страны и территории дали наибольший абсолютный прирост населения, совпадают ли они с лидерами по процентному росту и как различалась динамика России, Индии, Китая, США и Нигерии.\n\nВ notebook-е доступны просмотр таблицы, выбор периода, поиск по названию, фильтр базовой численности и четыре диаграммы.","pinned":false,"hidden":false,"mode":"md","author":"$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":"raw = demografia","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4,"value":"viewof config = Inputs.form({start: Inputs.select(d3.range(1960,2016), {label: \"Начальный год\",format:String,value:1960}), end: Inputs.select(d3.range(1960,2016), {label: \"Конечный год\",format:String,value:2015}), min: Inputs.range([0,100], {label: \"Население в начальном году, не менее (млн)\",step:1,value:1}), search: Inputs.text({label:\"Поиск страны или территории\",placeholder:\"Все названия\",value:\"\"})})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":5,"value":"$3d","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W3e","stdlib":"2"}} 33:null