2e:null 2f:["$","title",null,{"children":"Répartition des Tweets politiques par medias - en vue de la présidentielle 2022 | stéphane Wharton | Observable"}] 34:T9ac,function dispatchTAB(bfm_defdatas_counts, cnews_defdatas_counts, franceinfo_defdatas_counts, mediapart_defdatas_counts) { const tabForGraph = [ {name:'FRANCEINFO 📻', macron:(d3.sum(franceinfo_defdatas_counts, d => d.macron)/totalFI),zemmour:(d3.sum(franceinfo_defdatas_counts, d => d.zemmour)/totalFI),pecresse:(d3.sum(franceinfo_defdatas_counts, d => d.pecresse)/totalFI),lepen:(d3.sum(franceinfo_defdatas_counts, d => d.lepen)/totalFI),hidalgo:(d3.sum(franceinfo_defdatas_counts, d => d.hidalgo)/totalFI),jadot:(d3.sum(franceinfo_defdatas_counts, d => d.jadot)/totalFI),montebourg:(d3.sum(franceinfo_defdatas_counts, d => d.montebourg)/totalFI),melenchon:(d3.sum(franceinfo_defdatas_counts, d => d.melenchon)/totalFI)}, {name:'BFMTV 📺', macron:(d3.sum(bfm_defdatas_counts, d => d.macron)/totalBFM),zemmour:(d3.sum(bfm_defdatas_counts, d => d.zemmour)/totalBFM),pecresse:(d3.sum(bfm_defdatas_counts, d => d.pecresse)/totalBFM),lepen:(d3.sum(bfm_defdatas_counts, d => d.lepen)/totalBFM),hidalgo:(d3.sum(bfm_defdatas_counts, d => d.hidalgo)/totalBFM),jadot:(d3.sum(bfm_defdatas_counts, d => d.jadot)/totalBFM),montebourg:(d3.sum(bfm_defdatas_counts, d => d.montebourg)/totalBFM),melenchon:(d3.sum(bfm_defdatas_counts, d => d.melenchon)/totalBFM)}, {name:'CNEWS 📺', macron:(d3.sum(cnews_defdatas_counts, d => d.macron)/totalCNEWS),zemmour:(d3.sum(cnews_defdatas_counts, d => d.zemmour)/totalCNEWS),pecresse:(d3.sum(cnews_defdatas_counts, d => d.pecresse)/totalCNEWS),lepen:(d3.sum(cnews_defdatas_counts, d => d.lepen)/totalCNEWS),hidalgo:(d3.sum(cnews_defdatas_counts, d => d.hidalgo)/totalCNEWS),jadot:(d3.sum(cnews_defdatas_counts, d => d.jadot)/totalCNEWS),montebourg:(d3.sum(cnews_defdatas_counts, d => d.montebourg)/totalCNEWS),melenchon:(d3.sum(cnews_defdatas_counts, d => d.melenchon)/totalCNEWS)}, {name:'MEDIAPART 🗞', macron:(d3.sum(mediapart_defdatas_counts, d => d.macron)/totalMEDIAPART),zemmour:(d3.sum(mediapart_defdatas_counts, d => d.zemmour)/totalMEDIAPART),pecresse:(d3.sum(mediapart_defdatas_counts, d => d.pecresse)/totalMEDIAPART),lepen:(d3.sum(mediapart_defdatas_counts, d => d.lepen)/totalMEDIAPART),hidalgo:(d3.sum(mediapart_defdatas_counts, d => d.hidalgo)/totalMEDIAPART),jadot:(d3.sum(mediapart_defdatas_counts, d => d.jadot)/totalMEDIAPART),montebourg:(d3.sum(mediapart_defdatas_counts, d => d.montebourg)/totalMEDIAPART),melenchon:(d3.sum(mediapart_defdatas_counts, d => d.melenchon)/totalMEDIAPART)} ] return tabForGraph }35:[] 32:{"id":"186121061029c37c","slug":"presidentielle-repartition-des-tweets-politiques-par-medias","title":"Répartition des Tweets politiques par medias - en vue de la présidentielle 2022","thumbnail":"e4672da1ff1e8716b1f1db83161cabe24d83096b0961472cf4efa5b7174cf036","access_level":"public","create_time":"$D2021-11-13T20:06:53.365Z","update_time":"$D2022-11-17T08:49:12.914Z","view_time":null,"first_public_time":"$D2021-11-14T14:46:59.496Z","has_unpublished_edits":null,"fork":false,"stars":0,"starred":false,"owner":{"type":"team","id":"d7a54507b364837e","login":"stefw","name":"stéphane Wharton","avatar_url":"https://avatars-next.observableusercontent.com/2f2849a7b2cf81b942b2902c2a6930bf2b5fe71fff038936ef6893773610d1be","tier":"starter_2024"},"version":865,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"437c79feb6205de2","login":"stefw","name":"stéphane Wharton","avatar_url":"https://avatars-next.observableusercontent.com/2f2849a7b2cf81b942b2902c2a6930bf2b5fe71fff038936ef6893773610d1be","tier":null}],"members":[{"type":"individual","id":"437c79feb6205de2","login":"stefw","name":"stéphane Wharton","avatar_url":"https://avatars-next.observableusercontent.com/2f2849a7b2cf81b942b2902c2a6930bf2b5fe71fff038936ef6893773610d1be","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":{"id":"fc2806c91d463617","slug":"twitter","title":"TwitterPOL","owner":{"id":"d7a54507b364837e","login":"stefw","name":"stéphane Wharton"}},"type":"notebook","body":{"title":"Répartition des Tweets politiques par medias - en vue de la présidentielle 2022","cells":[{"id":0,"value":"# `Répartition des` Tweets politiques par medias `- en vue de la` présidentielle 2022\n\n\nOccurrences des noms des politiques dans les tweets des medias **BFM**, **CNEWS**, **FRANCEINFO** et **MEDIAPART** entre le **1er septembre 2021 et le 13 septembre 2022**. \n[Les données brutes sont ici sur mon github](https://github.com/stefw/mediastweets), **elles sont mises à jour chaque matin**\n\n**Pourquoi je n'ai pas ajouté plus de medias ? >** **Pourquoi je n'ai pas ajouté plus de candidats ? >** manque de temps et je dois encore rationaliser mon code pour que ce soit facile à faire.\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":645,"value":"htl.html`\nOn observe que Mediapart a fait ${mediapart_rawdatas.length} tweets, Cnews ${cnews_rawdatas.length}, Franceinfo ${franceinfo_rawdatas.length} et BFM ${bfm_rawdatas.length} tweets depuis le 1er septembre 2021.\nBFM tweete donc ${(bfm_rawdatas.length/mediapart_rawdatas.length).toFixed(2)} fois plus que Mediapart !\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":577,"value":"Pour les couleurs je m'inspire du travail de [@taniki ici](https://observablehq.com/@taniki/regionales2021-colors). Macron est en jaune, car [c'est la couleur que LAREM avait aux dernières régionales](https://fr.wikipedia.org/wiki/R%C3%A9pertoire_national_des_%C3%A9lus)... Montebourg n'ayant pas de couleur 'officielle', je l'ai foncé un peu plus que Hidalgo, ça donne un rose \"bizarre\" !\n\nJe vous invite au passage à aller voir [les notebooks que fait @taniki sur les présidentielles.](https://observablehq.com/collection/@taniki/election-presidentielle-france-2022), c'est inspirant et très intéressant.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":669,"value":"----------","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":346,"value":"key = Swatches(chart.scales.color, {title: \"Candidats\"}) // try also Swatches\n\n//key = Legend(chart.scales.color, {title: \"Candidats)\"}) ","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":299,"value":"chart = GroupedBarChart(defdatastovizPivot, {\n x: d => d.media,\n y: d => d.occ*100,\n z: d => d.candidat,\n xDomain: d3.groupSort(defdatastovizPivot, D => d3.sum(D, d => -d.occ), d => d.media), // top 6\n yLabel: \"↑ Occurences de tweets depuis 01/09/2021, en pourcentage (%)\",\n zDomain: qui,\n //colors: d3.schemeSpectral[candidateColors.length],\n colors: ['#ffeb00','#0000CC','#0D378A','#0066CC','#77ff77','#FF8080','#FF4080','#cc2443'],\n width,\n height: 400,\n \n})\n\n// MACRON: \"#ffeb00\"\n// BERTRAND: \"#0066CC\"\n// ZEMMOUR: \"#0000CC\"\n// LEPEN: \"#0D378A\"\n// MELENCHON: \"#cc2443\"\n// MONTEBOURG: \"#cc2443\"\n// HIDALGO: \"#FF8080\"\n// JADOT: \"#77ff77\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":773,"value":"chart2 = StackedBarChart(defdatastovizPivot, {\n x: d => d.occ*100,\n y: d => d.media,\n z: d => d.candidat,\n xLabel: \"Occurences de tweets depuis 01/09/2021, en pourcentages (%) →\",\n yDomain: d3.groupSort(defdatastovizPivot, D => d3.sum(D, d => d.occ), d => d.media), // top 6\n zDomain: qui,\n colors: ['#ffeb00','#0000CC','#0D378A','#0066CC','#77ff77','#FF8080','#FF4080','#cc2443'],\n width ,\n height: 100,\n marginLeft : 90, \n marginRight : 10, \n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":692,"value":"NB : Vous pouvez passer la souris doucement sur les \"barres\" pour voir les % précis.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":564,"value":"----------","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":174,"value":"md`## FRANCEINFO`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":185,"value":"dispatch(franceinfo_defdatas_counts,totalFI)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":173,"value":"md`## CNEWS`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":212,"value":"dispatch(cnews_defdatas_counts,totalCNEWS)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":171,"value":"md`## BFM`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":214,"value":"dispatch(bfm_defdatas_counts,totalBFM)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":613,"value":"md`## MEDIAPART`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":611,"value":"dispatch(mediapart_defdatas_counts,totalMEDIAPART)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":542,"value":"----------","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":584,"value":"md`## Datas Prep `","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":296,"value":"qui = [\"macron\", \"zemmour\", \"lepen\", \"pecresse\", \"jadot\",\"hidalgo\",\"montebourg\",\"melenchon\"]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":331,"value":"defdatastovizPivot = qui.flatMap(candidat => defdatastoviz.map(d => ({media: d.name, candidat, occ: d[candidat]}))) // pivot longer","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":276,"value":"defdatastoviz = dispatchTAB(bfm_defdatas_counts, cnews_defdatas_counts,franceinfo_defdatas_counts, mediapart_defdatas_counts)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":260,"value":"$34","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":200,"value":"function dispatch(src,total) {\nreturn htl.html`\nMacron : ${d3.sum(src, d => d.macron)} tweets (${(d3.sum(src, d => d.macron)*100/total).toFixed(2)}%)
\nZemmour : ${d3.sum(src, d => d.zemmour)} tweets (${(d3.sum(src, d => d.zemmour)*100/total).toFixed(2)}%)
\nPecresse : ${d3.sum(src, d => d.pecresse)} tweets (${(d3.sum(src, d => d.pecresse)*100/total).toFixed(2)}%)
\nLepen : ${d3.sum(src, d => d.lepen)} tweets (${(d3.sum(src, d => d.lepen)*100/total).toFixed(2)}%)
\nHidalgo : ${d3.sum(src, d => d.hidalgo)} tweets (${(d3.sum(src, d => d.hidalgo)*100/total).toFixed(2)}%)
\nJadot : ${d3.sum(src, d => d.jadot)} tweets (${(d3.sum(src, d => d.jadot)*100/total).toFixed(2)}%)
\nMontebourg : ${d3.sum(src, d => d.montebourg)} tweets (${(d3.sum(src, d => d.montebourg)*100/total).toFixed(2)}%)
\nMelenchon : ${d3.sum(src, d => d.melenchon)} tweets (${(d3.sum(src, d => d.melenchon)*100/total).toFixed(2)}%)
\n`\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":180,"value":"totalFI = total(franceinfo_defdatas_counts)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":123,"value":"viewof franceinfo_defdatas_counts = aq // viewof shows the table view, but assigns the table value\n .from(defdatas)\n .select('date','occurrences')\n .derive({ macron: d => d.occurrences[2][1].macron})\n .derive({ zemmour: d => d.occurrences[2][1].zemmour })\n .derive({ lepen: d => d.occurrences[2][1].lepen })\n .derive({ pecresse: d => d.occurrences[2][1].pecresse })\n .derive({ hidalgo: d => d.occurrences[2][1].hidalgo })\n .derive({ jadot: d => d.occurrences[2][1].jadot })\n .derive({ montebourg: d => d.occurrences[2][1].montebourg })\n .derive({ melenchon: d => d.occurrences[2][1].melenchon })\n .derive({ total: d => d.occurrences[2][1].macron + d.occurrences[2][1].zemmour + d.occurrences[2][1].pecresse + d.occurrences[2][1].lepen+ d.occurrences[2][1].hidalgo + d.occurrences[2][1].jadot + d.occurrences[2][1].montebourg + d.occurrences[2][1].melenchon })\n .select(aq.not('occurrences'))\n .orderby(aq.desc('date'))\n .view(30000) // shorthand for view({ limit: 5 })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":192,"value":"totalCNEWS = total(cnews_defdatas_counts)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":120,"value":"viewof cnews_defdatas_counts = aq // viewof shows the table view, but assigns the table value\n .from(defdatas)\n .select('date','occurrences')\n .derive({ macron: d => d.occurrences[1][1].macron})\n .derive({ zemmour: d => d.occurrences[1][1].zemmour })\n .derive({ lepen: d => d.occurrences[1][1].lepen })\n .derive({ pecresse: d => d.occurrences[1][1].pecresse })\n .derive({ hidalgo: d => d.occurrences[1][1].hidalgo })\n .derive({ jadot: d => d.occurrences[1][1].jadot })\n .derive({ montebourg: d => d.occurrences[1][1].montebourg })\n .derive({ melenchon: d => d.occurrences[1][1].melenchon })\n .derive({ total: d => d.occurrences[1][1].macron + d.occurrences[1][1].zemmour + d.occurrences[1][1].pecresse + d.occurrences[1][1].lepen+ d.occurrences[1][1].hidalgo + d.occurrences[1][1].jadot + d.occurrences[1][1].montebourg + d.occurrences[1][1].melenchon })\n .select(aq.not('occurrences'))\n .orderby(aq.desc('date'))\n .view(30000) // shorthand for view({ limit: 5 })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":193,"value":"totalBFM = total(bfm_defdatas_counts)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":95,"value":"viewof bfm_defdatas_counts = aq // viewof shows the table view, but assigns the table value\n .from(defdatas)\n .select('date','occurrences')\n .derive({ macron: d => d.occurrences[0][1].macron})\n .derive({ zemmour: d => d.occurrences[0][1].zemmour })\n .derive({ lepen: d => d.occurrences[0][1].lepen })\n .derive({ pecresse: d => d.occurrences[0][1].pecresse })\n .derive({ hidalgo: d => d.occurrences[0][1].hidalgo })\n .derive({ jadot: d => d.occurrences[0][1].jadot })\n .derive({ montebourg: d => d.occurrences[0][1].montebourg })\n .derive({ melenchon: d => d.occurrences[0][1].melenchon })\n .derive({ total: d => d.occurrences[0][1].macron + d.occurrences[0][1].zemmour + d.occurrences[0][1].pecresse + d.occurrences[0][1].lepen+ d.occurrences[0][1].hidalgo + d.occurrences[0][1].jadot + d.occurrences[0][1].montebourg + d.occurrences[0][1].melenchon })\n .select(aq.not('occurrences'))\n .orderby(aq.desc('date'))\n .view(30000) // shorthand for view({ limit: 5 })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":605,"value":"totalMEDIAPART = total(mediapart_defdatas_counts)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":601,"value":"viewof mediapart_defdatas_counts = aq // viewof shows the table view, but assigns the table value\n .from(defdatas)\n .select('date','occurrences')\n .derive({ macron: d => d.occurrences[3][1].macron})\n .derive({ zemmour: d => d.occurrences[3][1].zemmour })\n .derive({ lepen: d => d.occurrences[3][1].lepen })\n .derive({ pecresse: d => d.occurrences[3][1].pecresse })\n .derive({ hidalgo: d => d.occurrences[3][1].hidalgo })\n .derive({ jadot: d => d.occurrences[3][1].jadot })\n .derive({ montebourg: d => d.occurrences[3][1].montebourg })\n .derive({ melenchon: d => d.occurrences[3][1].melenchon })\n .derive({ total: d => d.occurrences[3][1].macron + d.occurrences[3][1].zemmour + d.occurrences[3][1].pecresse + d.occurrences[3][1].lepen+ d.occurrences[3][1].hidalgo + d.occurrences[3][1].jadot + d.occurrences[3][1].montebourg + d.occurrences[3][1].melenchon })\n .select(aq.not('occurrences'))\n .orderby(aq.desc('date'))\n .view(30000) // shorthand for view({ limit: 5 })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":127,"value":"function total(src) {\n const total = d3.sum(src, d => d.macron)+d3.sum(src, d => d.zemmour)+d3.sum(src, d => d.pecresse)+d3.sum(src, d => d.lepen)+d3.sum(src, d => d.hidalgo)+d3.sum(src, d => d.jadot)+d3.sum(src, d => d.montebourg)+d3.sum(src, d => d.melenchon)\n return total\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":72,"value":"defdatas = Array.from(d3.rollups(def_prep, \n v => {return{zemmour:d3.sum(v, d => d.motsfinded.zemmour), macron:d3.sum(v, d => d.motsfinded.macron), melenchon:d3.sum(v, d => d.motsfinded.melenchon), hidalgo:d3.sum(v, d => d.motsfinded.hidalgo), pecresse:d3.sum(v, d => d.motsfinded.pecresse), jadot:d3.sum(v, d => d.motsfinded.jadot), lepen:d3.sum(v, d => d.motsfinded.lepen), montebourg:d3.sum(v, d => d.motsfinded.montebourg) } },\n d => {return d.date},\n d => {return d.user_screen_name},\n ), ([date, occurrences]) => ({date, occurrences}))\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":29,"value":"def_prep = def.map((d) => {\n const date = d.local_time.substring(0, d.local_time.length-9).toLocaleString();\n const month = d.local_time.substring(0, d.local_time.length-12); \n const like_count = d.like_count;\n const user_screen_name = d.user_screen_name;\n const motsfinded=[];\n\n for (let i = 0; i < mots.length; ++i) {\n // j'applique un trick pour lepen... tout ça est à revoir.\n motsfinded[mots[i].normalize(\"NFD\").replace(/[\\u0300-\\u036f]/g, \"\")] = countOccurences(d.text.toLowerCase().replace('le pen', 'lepen'),' '+mots[i]);\n }\n\n return {\n date,\n month,\n motsfinded,\n like_count,\n user_screen_name\n };\n \n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":25,"value":"def = d3.merge([bfm_rawdatas,cnews_rawdatas,franceinfo_rawdatas,mediapart_rawdatas ])","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":594,"value":"mediapart_rawdatas = d3.csv(\"https://raw.githubusercontent.com/stefw/mediastweets/main/mediapart-tweets.csv\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":21,"value":"franceinfo_rawdatas = d3.csv(\"https://raw.githubusercontent.com/stefw/mediastweets/main/franceinfo-tweets.csv\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":15,"value":"cnews_rawdatas = d3.csv(\"https://raw.githubusercontent.com/stefw/mediastweets/main/cnews-tweets.csv\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":12,"value":"bfm_rawdatas = d3.csv(\"https://raw.githubusercontent.com/stefw/mediastweets/main/bfmtv-tweets.csv\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":10,"value":"// les mots clés à chercher\nmots = [\"zemmour\", \"macron\", \"pécresse\", \"mélenchon\", \"hidalgo\", \"montebourg\", \"jadot\",\"lepen\"]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":8,"value":"// Je dois revoir cette fonction. C'est un peu le coeur du truc car elle va chercher les occurences. J'aimerais bien avoir un pre traitement python, j'ai un peu de mal à faire ce que je veux en JS. Il faut faire attention aux \"espace\", aux occurences type @jeanlucmelenchon, à la présence des mots dans les urls etc... Bref. Elle peut induire quelques biais.\n\nfunction countOccurences(string, word) {\n return string.split(word).length - 1;\n // return (string.match(/word/g) || []).length\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":791,"value":"import {StackedBarChart} from \"@d3/stacked-horizontal-bar-chart\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":303,"value":"import {GroupedBarChart} from \"@d3/grouped-bar-chart\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":348,"value":"import {Legend, Swatches} from \"@d3/color-legend\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":372,"value":"import {swatches} from \"@d3/color-legend\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":355,"value":"import {candidateColors} from \"@stefw/bfmtv-tweets-presidentielles\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":6,"value":"import { aq, op } from '@uwdata/arquero'","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3,"value":"d3 = require('d3-array@2','d3','d3-dsv@2')","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":855,"value":"---------------------","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":849,"value":"Les données sont scrapées grâce à Minet du Medialab de SCPO\nhttps://github.com/medialab/minet","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":860,"value":"import {Signature} from \"@stefw/base\"\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":862,"value":"Signature","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W35","stdlib":"1","titling":"auto"}} 33:"$32:body"