2a:null 2b:["$","title",null,{"children":"Цензура рунета | Maya Guseva | Observable"}] 30:T78c,graph = { const Brush = vl.selectInterval() .encodings("x") const areaGraph = vl.markArea() .select(Brush) .transform({"calculate": "datum.page/1000", "as": "page2"}) .width(600) .height(300) .encode( vl.x().fieldT("date").title(false).axis({grid:false, labelFont: 'PT Sans', labelFontSize: 14}), vl.y().fieldQ("page2").axis({labelFont: 'PT Sans', labelFontSize: 12, format: "f", titleFont: 'PT Sans', titleFontSize: 12}).title("количество сайтов, тыс."), vl.color().fieldN("gos_organ").legend(false).scale({scheme: 'category20b'}), vl.tooltip().fieldN(["gos_organ"]) ); const barGraph = vl.markBar() .transform([vl.window(vl.rank().as('rank')).sort( vl.field("gos_organ").order('descending')), vl.filter('datum.rank < 1')]) .title({text: "Распределение блокировок по ведомствам" , anchor: "start", frame: "group" , fontSize: 18, font:'PT Sans'}) .width(580) .height(300) .transform( vl.filter(Brush)) .encode( vl.y().fieldN("gos_organ").sort("-x").title(false).axis({grid:false, labelFont: 'PT Sans', labelFontSize: 14}), vl.x().sum("page").axis(false), vl.color().fieldN("gos_organ") ); const barLabels = vl.markText({dx:6, align: "left", font: 'PT Sans', fontSize: 12}) .width(600) .transform( vl.filter(Brush)) .encode( vl.y().fieldN("gos_organ").sort("-x").title(false), vl.x().sum("page"), vl.color().value("black"), vl.text().sum("page"), vl.size(12) ); return vl.vconcat(areaGraph, vl.layer(barGraph, barLabels).view({stroke:"transparent"})) .data(for_services_graph_m) .title({text: "Блокировка сайтов в России с 2012 по 2021 год" , anchor: "start", frame: "group" , fontSize: 22, font: "PT Sans"}).render({renderer: "svg"}) }31:T48d,my_graph = { // const sel1 = vl.selectSingle() // .on("mouseover") // .nearest(false) const stackedBar1 = vl.markBar({ binSpacing: 0}) .width(760) .height(300) // .select(sel1) .encode( vl.x().fieldO("index").axis({labelAngle: -90}).title(false).axis({labelFont: 'PT Sans', labelFontSize: 15, ticks: false, labelPadding: 6}).sort({fild:"page"}), vl.y().fieldQ("page").title(false).axis(false), vl.color().value("#4B3F98"), // vl.opacity().value(0.5).if( sel1, {value: 1}) ); const labels = vl.markText({dy:-10, align: "center", font: 'PT Sans'}) .transform({"calculate": "datum.page/1000", "as": "page2"}) .encode( vl.x().fieldO("index").sort({fild:"page"}), vl.y().fieldQ("page"), vl.color().value("black"), vl.text().fieldQ("page2").format(".1f"), vl.size().value(15) ); return vl.layer(stackedBar1, labels) .data(domen1) .view({stroke:"transparent"}) .config({ concat: { spacing: 10} }) .title({text: "Домены заблокированных сайтов, тыс." , anchor: "start", frame: "group" , fontSize: 22, font: 'PT Sans'}) .render({renderer: "svg"}) }32:T83d,viewof russia_map = { const sel2 = vl.selectSingle() .on("mouseover") .nearest(false) .empty('all') const ru_land = vl.markGeoshape() .width(600) .height(300) .data(russia.features) .encode( vl.color().value("#E8D5B5") ) const ru_city = vl.markCircle() .data(regions_clean) .select(sel2) .encode( vl.longitude().fieldQ("longitude"), vl.latitude().fieldQ("latitude") , vl.size().fieldQ("gos_organ").title("Число судебных решений").legend(false), vl.color().value("#4B3F98"), vl.tooltip().fieldN("region"), vl.opacity().value(0.3).if(sel2, {value: 1}) ) const courts = vl.markText({fontSize: 48 , dx: -200 , dy: 100, font: "PT Sans"}) .data(regions_clean) .transform(vl.filter(sel2)) .encode( vl.text().sum("gos_organ").format("d") ) const barhart = vl.markBar() .width(600) .height(250) .title({text: "Топ-20 регионов по блокировке интернет-ресурсов", anchor: "start", frame: "group", fontSize: 18, font: "PT Sans"}) .data(regions_clean) .select(sel2) .transform( {filter: "datum.gos_organ>1500"} ) .encode( vl.x().fieldQ("gos_organ").axis(false).title(false), vl.y().fieldN("region").sort("-x").title(false).axis({grid:false, labelFont: 'PT Sans', labelFontSize: 12}), vl.tooltip().fieldQ("gos_organ"), vl.color().value("#8376A9").if(sel2 , {value: "#4B3F98" }) ) return vl.vconcat(vl.layer( vl.layer(ru_land, ru_city,) .title({text: "Сколько сайтов заблокировали региональные суды" , anchor: "start", frame: "group" , fontSize: 22, font: "PT Sans"}) .width(600) .height(300) .project( vl.projection("Albers") .parallels([50 , 70]) .center([56,100]) .rotate([-105,0]) //---------- .scale(400) .translate([400, 20]) , ), courts.width(600).width(300)).view({stroke:"transparent"}), barhart.view({stroke:"transparent"})) .render({renderer: "svg"}); }33:[{"id":"ab09f079e3094d4da57ef2a05425d523fff2bb3ce3d91593f862062972144bc04e8384d88defb407e7549ecf631e7dea7c1c06b1475c00914395231de93e6a07","href":"https://static.observableusercontent.com/files/ab09f079e3094d4da57ef2a05425d523fff2bb3ce3d91593f862062972144bc04e8384d88defb407e7549ecf631e7dea7c1c06b1475c00914395231de93e6a07","name":"for_services_graph_m.csv","type":"text/csv","lastModified":1654608169296.85,"size":21922},{"id":"f642349f649c9230a38a4203133930a4200a43c09105555760b6341fd300ebc120367c9f374b0c99e949b2d164cecd0fbc28ddbe7b4d13e6736c9e69b391ae85","href":"https://static.observableusercontent.com/files/f642349f649c9230a38a4203133930a4200a43c09105555760b6341fd300ebc120367c9f374b0c99e949b2d164cecd0fbc28ddbe7b4d13e6736c9e69b391ae85","name":"domen@1.csv","type":"text/csv","lastModified":1654625599460.929,"size":256},{"id":"e2727ec6a2b7209f84b88100ee6cf6a723d48a4b5bee508dfeceee200d1bb6e05ecaa8220a8cf5c84b1bec2c2ba6b0195ff7c60ec54a37accab77e25608e3835","href":"https://static.observableusercontent.com/files/e2727ec6a2b7209f84b88100ee6cf6a723d48a4b5bee508dfeceee200d1bb6e05ecaa8220a8cf5c84b1bec2c2ba6b0195ff7c60ec54a37accab77e25608e3835","name":"regions_clean.csv","type":"text/csv","lastModified":1654613929041.707,"size":5363}] 2e:{"id":"5afec1853347ed0d","slug":"censorship_ru","title":" Цензура рунета ","thumbnail":"bf9f10fad0515c998f591f3d2b9c15a9db91d210f20544fc04ee20ca4385b365","access_level":"public","create_time":"$D2022-06-07T11:22:31.556Z","update_time":"$D2022-06-25T23:15:34.103Z","view_time":null,"first_public_time":"$D2022-06-08T00:46:34.630Z","has_unpublished_edits":null,"fork":false,"stars":1,"starred":false,"owner":{"type":"team","id":"254018f0466ade66","login":"bobenkom","name":"Maya Guseva","avatar_url":"https://avatars-next.observableusercontent.com/daddbae298c5c3e718a7c1a4d4d080c0572d1c8896dd84a4675528bf52d568db","tier":"starter_2024"},"version":600,"publish_version":600,"role":null,"authored":false,"authors":[{"type":"individual","id":"0ea0fe94f42cbbda","login":"bobenkom","name":"Maya Guseva","avatar_url":"https://avatars-next.observableusercontent.com/daddbae298c5c3e718a7c1a4d4d080c0572d1c8896dd84a4675528bf52d568db","tier":null}],"members":[{"type":"individual","id":"0ea0fe94f42cbbda","login":"bobenkom","name":"Maya Guseva","avatar_url":"https://avatars-next.observableusercontent.com/daddbae298c5c3e718a7c1a4d4d080c0572d1c8896dd84a4675528bf52d568db","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"titling":"auto","title":" Цензура рунета ","cells":[{"id":529,"value":"# **Цензура рунета** ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":535,"value":" На сайте \"Роскомсвободы\" ежедневно ведется [реестр](https://reestr.rublacklist.net) запрещенных сайтов. Данные агрегируется с различных государственных ведомств - ФНС, Генпрокуратуры, Роскомнадзора, МВД и др. Всего за 10 лет были заблокированы почти 600 тысяч интернет-страниц.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":0,"value":"$30","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":548,"value":" Треть всех запрещенных сайтов попала под блокировку Федеральной налоговой службы. Наиболее активно ведомство блокировало страницы в 2016 - 2017 годах. Однако в последние пять лет региональные суды переняли инициативу у федеральных ведомств.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":543,"value":" Чаще всего под блокировку попадали домены com и ru. ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":157,"value":"$31","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":556,"value":" Лидером среди регионов стала Саратовская область. За ней следуют Нижегородская область и Башкирия. В совокупности на эти три региона приходится около 12 тысяч заблокированных ресурсов из 92 тысяч сайтов. ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":42,"value":"$32","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":591,"value":"

Ноутбук по работе с данными:

https://github.com/bobenkom/Roscomsvoboda

","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":27,"value":"for_services_graph_m = FileAttachment(\"for_services_graph_m.csv\").csv()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":158,"value":"domen1 = FileAttachment(\"domen@1.csv\").csv()","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":48,"value":"import {russia} from \"@glebtr/lesson-9\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":57,"value":"regions_clean = FileAttachment(\"regions_clean.csv\").csv()","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":279,"value":"import {vl} from '@vega/vega-lite-api'","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W33","stdlib":"1"}} 2f:"$2e:body"