29:null 2a:["$","title",null,{"children":"CovidOscope V5.0 | ToulouseDataviz | Observable"}] 2f:T2a8a,chart = { const height = width * 1.2; const y_legend = 5; const x_legend = width - 210; const svg = d3 .select(DOM.svg(width, height)) .style("width", "100%") .style("height", "auto"); const background = svg .append('rect') .attr('width', width) .attr('height', height) .attr('fill', bgColor); const zoom = d3 .zoom() .scaleExtent([.45, 7]) .on("zoom", zoomed); const g = svg.append('g').attr('transform', `translate(${"0"}, ${"100"})`); // ------------------------------------ tracé contours --------------------------------------- /* var carte = g .append("svg:image") .attr( "xlink:href", "https://raw.githubusercontent.com/ToulouseDataViz/COVID-19/master/images/France_dep_.25pt.svg" ) .attr("x", -30) .attr("y", -50) .attr("width", width * 1.25) .attr("height", width * 1.2); */ // ------------------------------------- Initialisation de la boucle ------------------------------ const states = g .selectAll('.states') .data(cartogram_data) .enter() .append('g') .attr("path", d => d) .attr('class', 'state-groups'); //---------------------------------------- Tracés des ticks sur l'axe X--------------------------------- /* states.append('g') .attr('transform', d => `translate(${x_column(d)}, ${y_column(d) + state_size})`) .call(xAxis) */ // ---------------------------------- tracé des barres----------------------------------- --------------- if ((graph_type == 'bar') | (graph_type == 'line')) { states .append('g') .attr('transform', d => `translate(${x_column(d)}, ${y_column(d)})`) .selectAll('.bar') .data(d => d.data[selectedEncoding]) .enter() .append('rect') .attr('x', d => x(d.key)) .attr('y', d => z(d.value)) //.attr('width', x.bandwidth()) .attr( 'width', (x(minmaxValues.date_max) - x(minmaxValues.date_min)) / years.length ) .attr('height', d => z(0) - z(d.value)) .attr( 'fill', graph_type == 'bar' ? d => clusterScale(get_value(d)) : 'black' ) .attr( 'stroke', graph_type == 'bar' ? d => clusterScale(get_value(d)) : 'black' ) .attr('stroke-width', 0.1) .append('title') .text(getText); } // ---------------------------------- tracé des lines ----------------------------------- --------------- if (graph_type == 'line') { const line = d3 .line() //.defined(d => !isNaN(d.value)) .defined( (selectedEncoding == "R") & (select_week_day == 'non') ? d => !isNaN(d.value) : d => d.value != 0 ) .x(d => x(d.key)) .y(d => z(d.value)); states .append('g') .attr('transform', d => `translate(${x_column(d)}, ${y_column(d)})`) .selectAll('.line') //.data(d => [d.data["rea_soins_intensifs"]]) .data(d => [d.data[selectedEncoding]]) .enter() .append('path') .attr('d', line) .attr('fill', 'none') .attr('stroke', line_color(selectedEncoding)) .attr('stroke-width', 1.2); } //---------------------------------------- Tracés des encadrements------------------------------------- states .append('g') .attr('transform', d => `translate(${x_column(d)}, ${y_column(d)})`) .append('rect') .attr('x', d => d) .attr('y', d => d) .attr('width', x(minmaxValues.date_max) - x(minmaxValues.date_min)) .attr('height', z(0) - z(maxValues.y)) .attr('fill', "none") // bgColor .attr('stroke', '#363636') .attr('stroke-width', .5); // ---------------------------------- Ajout du numéro du département pour chaque tracé --------------- states .append('text') .attr('class', 'state-label') .attr('dominant-baseline', 'central') .attr('x', d => axisPosition(.4 * d.column) - 20) .attr('y', d => axisPosition(.4 * d.row) - 25) .attr('text-anchor', 'start') // middle .attr('font-size', 12) .attr('font-family', 'Helvetica') //.attr('fill', d => dep_color_tx_incid(d.data.tx_incid)) .attr('fill', "#969696") .text(d => d.INSEE_DEP); /* .text( select_week_day == 'non' ? d => d.INSEE_DEP + " (" + d3.format(".0f")(tx_incid_last_day(d.INSEE_DEP)) + ")" : d => d.INSEE_DEP ); */ /* states.append('text') .attr('transform', d => `translate(${x_column(d)+2}, ${y_column(d)+5})`).attr('class', 'state-label') .attr('dominant-baseline', 'central') .attr('x', d => d) .attr('y', d => d) .attr('text-anchor', 'start') .attr('font-size', 8*width/1000) .attr('font-family', 'Helvetica') //.attr('fill', d => dep_color(d.INSEE_DEP)) .attr('fill', d => dep_color_epidemie(d.INSEE_DEP)) //.attr('fill', "#fff") .text(d => d.INSEE_DEP+" ("+d3.format(".0f")(dep_value_epidemie(d.INSEE_DEP))+")"); */ // ------------------------------------ ajout source------------------------------------------------- svg .append('text') .attr('class', 'text') .attr("y", height - 10) .attr("x", 10) .attr('text-anchor', 'left') .attr('font-size', 12) .attr('font-family', 'Helvetica') .attr('fill', "#878787") .text( "Réalisation A Ottenheimer - datasens.fr - Source des données : santé publique france" ); // ------------------------------------ ajout titre------------------------------------------------- svg .append('text') .attr('class', 'text') .attr("y", 25) .attr("x", width / 2) .attr('text-anchor', 'middle') .attr('font-size', 16) .attr('font-family', 'Helvetica') .attr('fill', "#878787") .text( select_week_day == 'oui' ? "Données hospitalières COVID-19 - Historique" : "Données hospitalières COVID-19 - Dernier mois" ); svg .append('text') .attr("y", 50) .attr("x", width / 2) .attr('fill', "#878787") .attr('text-anchor', 'middle') .text(selectedEncoding.toUpperCase()); svg .append('text') .attr("y", 75) .attr("x", width / 2) .attr('fill', "#878787") .attr('text-anchor', 'middle') .text( (selectedEncoding.slice(0, 2) == "tx") & (selectedEncoding != 'tx_incid') ? "en %" : selectedEncoding == 'R' ? '' : selectedEncoding == "tx_incid" ? 'Cas pour 100000' : select_affichage ); // --------------------------------------------LEGEND ----------------------------------------------- // ----------------------------------------- Encadrement ------------------------------------------- svg .append('rect') .attr("y", y_legend + 20) .attr("x", x_legend + 70) .attr('width', 100) .attr('height', 100) .attr("fill", "none") .attr('stroke', 'white') .attr('stroke-width', .3); // ----------------------------------------- Texte N° Dept --------------------------------------- svg .append('text') .attr('class', 'text') .attr("y", y_legend + 35) .attr("x", x_legend + 70 + 2) .attr('text-anchor', 'start') .attr('font-size', 12) .attr('font-family', 'Helvetica') .attr('fill', "white") .text("N° dept"); // ----------------------------------------- Texte y axis -------------------------- svg .append('text') .attr('class', 'text') .attr("y", y_legend + 10) .attr("x", x_legend + 65) .attr('text-anchor', 'middle') .attr('font-size', 12) .attr('font-family', 'Helvetica') .attr('fill', "white") .attr('transform', 'rotate(0)') //.text(select_affichage == "En nombre" ? "Nb de personnes" : "En ‱ ") .text( (selectedEncoding.slice(0, 2) == "tx") & (selectedEncoding != 'tx_incid') ? "en %" : selectedEncoding == 'R' ? '' : selectedEncoding == "tx_incid" ? 'Cas pour 100000' : select_affichage ); // ----------------------------------------- texte echelle Y ----------------------------------- svg .append('text') .attr('class', 'text') .attr("y", y_legend + 28) .attr("x", x_legend + 65) .attr('text-anchor', 'end') .attr('font-size', 12) .attr('font-family', 'Helvetica') .attr('fill', "white") .text(format(maxValues.y)); svg .append('text') .attr('class', 'text') .attr("y", y_legend + 120) .attr("x", x_legend + 65) .attr('text-anchor', 'end') .attr('font-size', 12) .attr('font-family', 'Helvetica') .attr('fill', "white") .text(format(0)); // ----------------------------------------- texte echelle X --------------------------------------- svg .append('text') .attr('class', 'text') .attr("y", y_legend + 135) .attr("x", x_legend + 70) .attr('text-anchor', 'middle') .attr('font-size', 10) .attr('font-family', 'Helvetica') .attr('fill', "white") .text(dateFr(minmaxValues.date_min)); svg .append('text') .attr('class', 'text') .attr("y", y_legend + 135) .attr("x", x_legend + 170) .attr('text-anchor', 'middle') .attr('font-size', 10) .attr('font-family', 'Helvetica') .attr('fill', "white") .text( select_week_day == "oui" ? dateFr(years[years.length - 1]) : // ? dateFr(deltaDate(years[years.length - 1], +0, 0, 0)) dateFr(years[years.length - 1]) ); // ----------------------------------------- Zoom -------------------------------------------- // svg.call(zoom); function clicked(d) { const [[x0, y0], [x1, y1]] = path.bounds(d); d3.event.stopPropagation(); svg .transition() .duration(750) .call( zoom.transform, d3.zoomIdentity .translate(width / 2, height / 2) .scale( Math.min(8, 0.9 / Math.max((x1 - x0) / width, (y1 - y0) / height)) ) .translate(-(x0 + x1) / 2, -(y0 + y1) / 2), d3.mouse(svg.node()) ); } function zoomed() { const { transform } = d3.event; g.attr("transform", transform); g.attr("stroke-width", 1 / transform.k); } yield svg.node(); //return svg.node() const colorLegend = d3 .legendColor() .scale(clusterScale) .shapeWidth(30) .labels(d3.legendHelpers.thresholdLabels) .labelFormat( select_affichage == "En nombre" ? d3.format(".0f") : d3.format(".1f") ) .labelWrap(100) //.title(`${selectedEncoding.replace(/_/g, ' ').replace(/\b\w/g, l => l.toUpperCase())} (cumul)`) .orient("vertical"); if (graph_type == 'bar') { svg .append('g') .attr('transform', `translate(${"5"}, ${"5"})`) .attr("y", height - 30) .call(colorLegend) .attr('font-family', 'Helvetica') .attr('font-size', 15) .attr('fill', "#fff"); } }30:Ta44,chart_new = { const height = width * .6; const svg = d3 .select(DOM.svg(width, height)) .style("width", "100%") .style("height", "auto"); const background = svg .append('rect') .attr('width', width) .attr('height', height) .attr('fill', "#1a1a1a"); //.attr('stroke', "black"); svg.append('g').attr('transform', `translate(${"0"}, ${"100"})`); const min = margin.left + margin.right; const max = width - margin.right; const length = raw_data_hosp_new_sum.length; const width_bar = (max - min) / (length * 1.2); svg .append('g') .selectAll('rect') .data(raw_data_hosp_new_sum) .join("rect") .attr("x", d => scale_x_(new Date(d.key)) + width_bar / 2) .attr("width", width_bar) .attr("y", d => scale_y(d.value[indic_type(selectedEncoding_new)])) .attr( "height", d => scale_y(0) - scale_y(d.value[indic_type(selectedEncoding_new)]) ) .attr("fill", "#bbb") .append('title') .text(getText_2); //x axis svg .append("g") .call(xAxis_dept) .attr('font-size', (1.2 * width) / 100); //y axis svg .append("g") .call(yAxis_dept) .attr('font-size', (1.3 * width) / 100); svg.selectAll(".tick text").attr("fill", "#f88502"); svg.selectAll(".tick line").attr("stroke", "#f88502"); svg.selectAll(".domain").attr("stroke", "#f88502"); // tracé la ligne de regression /*svg .append("path") .datum(regressionGenerator(raw_data_hosp_new_sum_loess)) .attr("fill", "none") .attr("stroke", "white") .attr("stroke-width", 1.5) .attr("stroke-linejoin", "round") .attr("stroke-dasharray", "10 10") .attr("stroke-linecap", "round") .attr( "d", d3 .line() .x(d => scale_x_(d[0])) .y(d => scale_y(d[1])) ); */ //x axis label svg .append("text") .attr("transform", "translate(" + width / 2 + "," + (height - 20) + ")") .style("text-anchor", "middle") .attr('font-size', (1.5 * width) / 100) .attr('fill', "orange") .text("Date"); //y axis label svg .append("text") .attr( "transform", "translate(" + margin.left + "," + height / 2 + ")rotate(-90)" ) .style("text-anchor", "middle") .attr('font-size', (1.5 * width) / 100) .attr('fill', "#f88502") .text("Nombre "); //title svg .append("text") .attr("transform", "translate(" + width / 2 + "," + 2 * margin.top + ")") .style("text-anchor", "middle") .attr('font-size', (2 * width) / 100) .attr('fill', "#f88502") .text(selectedEncoding_new); return svg.node(); }31:T675,Ascroll_table = table( data_hosp_ratio.filter( +select_dep.slice(0, 2) < 10 ? d => d.dep == +select_dep.slice(0, 1) : d => d.dep == +select_dep.slice(0, 2) ), { nully: () => ' ', limit: 500, enableFilter: true, enableCSVDownload: true, columns: [ { key: 'dep', name: 'Dept' }, { key: 'jour_fr', name: 'Date_$jour/semaine$' }, { key: 'tx_incid', name: 'taux incidence', render: val => `${ val != 0 ? val : '' }` }, { key: 'R', name: 'R', render: val => `${val != 0 ? val : ''}` }, { key: 'tx_pos', name: 'taux positivité', render: val => `${val != 0 ? val : ''}` }, { key: 'tx_occupation_sae', name: 'taux occupation sae', render: val => `${ val != 0 ? val : '' }` }, { key: 'hosp', name: 'Hospita-lisation' }, { key: 'rea', name: 'réani-mation' }, { key: 'indic_dc', name: 'décès' }, { key: 'indic_rad', name: 'Retour à domicile' }, { key: 'dc', name: 'Cumul décès' }, { key: 'rad', name: 'Cumul retour à domicile' } ] } )32:Ta3c,raw_data_hosp_ratio = { if (select_week_day == 'non') { return merge(data_merge, ratio).map(obj => { return { dep: obj.dep, ratio: obj.ratio, sexe: obj.sexe, jour: obj.jour, jour_fr: obj.jour_fr, tx_incid: obj.tx_incid, tx_pos: obj.tx_pos, tx_occupation_sae: obj.tx_occupation_sae, R: obj.R, hosp: select_affichage == "En nombre" ? obj.hosp : +d3.format(".2f")(obj.ratio > 0 ? obj.hosp / obj.ratio : 0), rea: select_affichage == "En nombre" ? obj.rea : +d3.format(".2f")(obj.ratio > 0 ? obj.rea / obj.ratio : 0), rad: select_affichage == "En nombre" ? obj.rad : +d3.format(".2f")(obj.ratio > 0 ? obj.rad / obj.ratio : 0), dc: select_affichage == "En nombre" ? obj.dc : +d3.format(".2f")(obj.ratio > 0 ? obj.dc / obj.ratio : 0), indic_dc: select_affichage == "En nombre" ? obj.indic_dc : +d3.format(".2f")(obj.ratio > 0 ? obj.indic_dc / obj.ratio : 0), indic_rad: select_affichage == "En nombre" ? obj.indic_rad : +d3.format(".2f")(obj.ratio > 0 ? obj.indic_rad / obj.ratio : 0) }; }); } else { return merge(data_merge_byWeek, ratio).map(obj => { return { dep: obj.dep, ratio: obj.ratio, sexe: 0, jour: obj.jour, jour_fr: obj.jour_fr, tx_incid: obj.tx_incid, tx_pos: obj.tx_pos, tx_occupation_sae: obj.tx_occupation_sae, R: obj.R, hosp: select_affichage == "En nombre" ? obj.hosp : +d3.format(".2f")(obj.ratio > 0 ? obj.hosp / obj.ratio : 0), rea: select_affichage == "En nombre" ? obj.rea : +d3.format(".2f")(obj.ratio > 0 ? obj.rea / obj.ratio : 0), rad: select_affichage == "En nombre" ? obj.rad : +d3.format(".2f")(obj.ratio > 0 ? obj.rad / obj.ratio : 0), dc: select_affichage == "En nombre" ? obj.dc : +d3.format(".2f")(obj.ratio > 0 ? obj.dc / obj.ratio : 0), indic_dc: select_affichage == "En nombre" ? obj.indic_dc : +d3.format(".2f")(obj.ratio > 0 ? obj.indic_dc / obj.ratio : 0), indic_rad: select_affichage == "En nombre" ? obj.indic_rad : +d3.format(".2f")(obj.ratio > 0 ? obj.indic_rad / obj.ratio : 0) }; }); } }33:T7f4,data_hosp = { return nesting.map(obj => { return { key: obj.key, deces: obj.values.map(obj => { return { key: obj.jour, value: obj.indic_dc, nom_dept: obj.dep }; }), hospitalises: obj.values.map(obj => { return { key: obj.jour, value: obj.hosp, nom_dept: obj.dep }; }), rea_soins_intensifs: obj.values.map(obj => { return { key: obj.jour, value: obj.rea, nom_dept: obj.dep }; }), retour_domicile: obj.values.map(obj => { return { key: obj.jour, value: obj.indic_rad, nom_dept: obj.dep }; }), retour_domicile_cumul: obj.values.map(obj => { return { key: obj.jour, value: obj.rad, nom_dept: obj.dep }; }), deces_cumul: obj.values.map(obj => { return { key: obj.jour, value: obj.dc, nom_dept: obj.dep }; }), sexe: obj.values.map(obj => { return { key: obj.jour, value: obj.sexe, nom_dept: obj.dep }; }), ratio: obj.values.map(obj => { return { key: obj.jour, value: obj.ratio, nom_dept: obj.dep }; }), R: obj.values.map(obj => { return { key: obj.jour, value: obj.R, nom_dept: obj.dep }; }), tx_occupation_sae: obj.values.map(obj => { return { key: obj.jour, value: obj.tx_occupation_sae, nom_dept: obj.dep }; }), tx_pos: obj.values.map(obj => { return { key: obj.jour, value: obj.tx_pos, nom_dept: obj.dep }; }), tx_incid: obj.values.map(obj => { return { key: obj.jour, value: obj.tx_incid, nom_dept: obj.dep }; }) }; }); }34:T49e,texte = { let text = 0; if (select_affichage == 'En nombre') { return (text = [ "Nombre de personnes décédées", "Nombre de personnes actuellement en réanimation ou en soins intensifs", "Nombre de personnes actuellement hospitalisées", "Nombre de personnes retournées à domicile", "Nombre cumulé de personnes décédées", "Nombre cumulé de personnes retournées à domicile", "Taux d'incidence", "Taux de positivité", "R", "Taux d'occupation" ]); } if (select_affichage == 'En ‱ de la population') { return (text = [ "Nombre de personnes décédées en ‱ de la population", "Nombre de personnes actuellement en réanimation ou en soins intensifs en ‱ de la population", "Nombre de personnes actuellement hospitalisées en ‱ de la population", "Nombre de personnes retournées à domicile en ‱ de la population", "Nombre cumulé de personnes décédées en ‱", "Nombre cumulé de personnes retournées à domicile en ‱", "Taux d'incidence", "Taux de positivité", "R", "Taux d'occupation" ]); } return text; }35:T45f,function checkVar(variable) { if (variable == "deces") return Math.round(d3.max(data_hosp_ratio.map(d => d.indic_dc).flat())); if (variable == "hospitalises") return Math.round(d3.max(data_hosp_ratio.map(d => d.hosp).flat())); if (variable == "rea_soins_intensifs") return Math.round(d3.max(data_hosp_ratio.map(d => d.rea).flat())); if (variable == "retour_domicile") return Math.round(d3.max(data_hosp_ratio.map(d => d.indic_rad).flat())); if (variable == "retour_domicile_cumul") return Math.round(d3.max(data_hosp_ratio.map(d => d.rad).flat())); if (variable == "deces_cumul") return Math.round(d3.max(data_hosp_ratio.map(d => d.dc).flat())); if (variable == "tx_incid") return Math.round(d3.max(data_hosp_ratio.map(d => d.tx_incid).flat())); if (variable == "tx_pos") return Math.round(d3.max(data_hosp_ratio.map(d => d.tx_pos).flat())); if (variable == "tx_occupation_sae") return Math.round( d3.max(data_hosp_ratio.map(d => d.tx_occupation_sae).flat()) ); if (variable == "R") return Math.round(d3.max(data_hosp_ratio.map(d => d.R).flat())); }36:T949,getText = d => { let text; switch (selectedEncoding) { case 'deces': { select_affichage == 'En nombre' ? (text = `${texte[0] + " : " + d3.format('.0f')(d.value)}\n`) : (text = `${texte[0] + " : " + d3.format('.2f')(d.value)}\n`); break; } case 'rea_soins_intensifs': { select_affichage == 'En nombre' ? (text = `${texte[1] + " : " + d3.format('.0f')(d.value)}\n`) : (text = `${texte[1] + " : " + d3.format('.2f')(d.value)}\n`); break; } case 'hospitalises': { select_affichage == 'En nombre' ? (text = `${texte[2] + " : " + d3.format('.0f')(d.value)}\n`) : (text = `${texte[2] + " : " + d3.format('.2f')(d.value)}\n`); break; } case 'retour_domicile': { select_affichage == 'En nombre' ? (text = `${texte[3] + " : " + d3.format('.0f')(d.value)}\n`) : (text = `${texte[3] + " : " + d3.format('.2f')(d.value)}\n`); break; } case 'deces_cumul': { select_affichage == 'En nombre' ? (text = `${texte[4] + " : " + d3.format('.0f')(d.value)}\n`) : (text = `${texte[4] + " : " + d3.format('.2f')(d.value)}\n`); break; } case 'retour_domicile_cumul': { select_affichage == 'En nombre' ? (text = `${texte[5] + " : " + d3.format('.0f')(d.value)}\n`) : (text = `${texte[5] + " : " + d3.format('.2f')(d.value)}\n`); break; } case 'tx_incid': { select_affichage == 'En nombre' ? (text = `${texte[6] + " : " + d3.format('.0f')(d.value)}\n`) : (text = `${texte[6] + " : " + d3.format('.0f')(d.value)}\n`); break; } case 'tx_pos': { select_affichage == 'En nombre' ? (text = `${texte[7] + " : " + d3.format('.0f')(d.value)}\n`) : (text = `${texte[7] + " : " + d3.format('.0f')(d.value)}\n`); break; } case 'R': { select_affichage == 'En nombre' ? (text = `${texte[8] + " : " + d3.format('.2f')(d.value)}\n`) : (text = `${texte[8] + " : " + d3.format('.2f')(d.value)}\n`); break; } case 'tx_occupation_sae': { text = `${d3.format('.0f')(d.value) + "% : " + texte[9]}\n`; break; } default: text = `${d.value}`; break; } return `${d3.timeFormat("%e %b %y")( d.key )}\n${text}Département - ${get_dep_name(d.nom_dept)} `; }37:T15a3,md`Santé Publique France fournit de nombreuses données sur l'épidémie de COVID 19. Ces données sont accessibles via Géodes qui est l’observatoire cartographique des indicateurs épidémiologiques produits par Santé publique France (https://geodes.santepubliquefrance.fr/index.php#c=indicator&f=0&i=covid_hospit.dc&s=2020-03-18&t=a01&view=map2). Elles sont mises à jour regulièrement et pour certaines quotidiennement. Le site open data gouv publie quotidiennement (19:00h) une partie de ces données sous la forme de jeux de données aggrégées #### Données hospitalières relatives à l'épidémie de COVID-19 : https://www.data.gouv.fr/fr/datasets/donnees-hospitalieres-relatives-a-lepidemie-de-covid-19/#_ Parmi les quatre fichiers proposés ; les données hospitalières relatives à l'épidémie du COVID-19 ("donnees-hospitalieres-covid19-2020-xx-xx-19h00.csv").Le nom du fichier intègre la date de publication des données Meta données associées | Colonne | Type | Description $FR$ | exemple | |---------|-----------------|--------------------------------------------------------------------|-----------------------------------------| | dep | integer | Département | 1 | | sexe | integer | sexe | 0=femmes \+ hommes, 1=hommes, 2=femmes | | jour | string$$date$ | Date de notification | 18/03/2020 | | hosp | integer | Nombre de personnes actuellement hospitalisées | | | rea | integer | Nombre de personnes actuellement en réanimation ou soins intensifs | | | rad | integer | Nombre cumulé de personnes retournées à domicile | | | dc | integer | Nombre cumulé de personnes décédées à l'hôpital | | --- #### Données hospitalières relatives à l'épidémie de COVID-19 NOUVEAU : https://www.data.gouv.fr/fr/datasets/donnees-hospitalieres-relatives-a-lepidemie-de-covid-19/#_ Le site open data gouv publie une nouvelle serie on constate des écarts avec le fichier précédent. les valeurs données par l'explorateur du gouv. Il n'y pas d'explication sur l'ajout de ce jeu de données "new" et sur les différence entre les 2 jeux de données | Colonne | Type | Description\_FR | Description\_EN | Exemple | |-------------|-----------------|----------------------------------------------------------|------------------------------------------------|------------| | dep | integer | Département | Department | 1 | | jour | string$$date$ | Date de notification | Date of notice | 19/03/2020 | | incid\_hosp | string | Nombre quotidien de personnes nouvellement hospitalisées | Daily number of newly hospitalized persons | 1 | | incid\_rea | integer | Nombre quotidien de nouvelles admissions en réanimation | Daily number of new intensive care admissions | 1 | | incid\_dc | integer | Nombre quotidien de personnes nouvellement décédées | Daily number of newly deceased persons | 1 | | incid\_rad | integer | Nombre quotidien de nouveaux retours à domicile | Daily number of new home returns | 2 | --- #### Indicateurs de suivi de l’épidémie de COVID-19 https://www.data.gouv.fr/fr/datasets/indicateurs-de-suivi-de-lepidemie-de-covid-19/#_ indicateurs-covid19-dep.csv 1. Activité épidémique (taux d'incidence) 2. Taux de positivité des tests virologiques 3. Facteur de reproduction du virus (évolution du R0) 4. Tension hospitalière sur la capacité en réanimation Trois niveaux ont été fixés pour l'ndicateur "taux d'incidence" : - Vert : en dessous de 10 personnes testées positives sur 100.000 personnes testées, sur une semaine glissante; - Orange : au-delà de 10 personnes testées positives sur 100.000 personnes testées, sur une semaine glissante; - rouge : au-delà de 50 personnes testées positives sur 100.000 personnes testées, sur une semaine glissante. Trois niveaux ont été fixés pour l'ndicateur "taux de positivité" : - vert : taux de positivité entre 0 et 5%; - orange : taux de positivité entre 5 et 10%; - rouge : taux de positivité supérieur à 10%. Trois niveaux ont été fixés pour l'ndicateur "taux d'occupation" (tension hospitalière sur la capacité en réanimation): - Vert : taux d’occupation compris entre 0 et 30% ; - Orange : taux d’occupation compris entre 30 et 60% ; - Rouge : taux d'occupation supérieur à 60%. Trois niveaux ont été fixés pour l'ndicateur "R" : - Vert : R0 entre 0 et 1; - Orange : R0 entre 1 et 1,5; - Rouge : R0 supérieur à 1,5. #### Les services du gouvernement ont crée un explorateur des données COVID 19 https://www.gouvernement.fr/info-coronavirus/carte-et-donnees `38:[] 2d:{"id":"660395cbff785732","slug":null,"title":" CovidOscope V5.0","thumbnail":"d51520259373466dcbc83cf687845cd48cb7e105b2fac6b8096adb8a68d39bd5","access_level":"public","create_time":"$D2022-12-16T15:04:58.013Z","update_time":"$D2022-12-16T15:04:58.013Z","view_time":null,"first_public_time":"$D2022-12-16T15:04:58.013Z","fork":true,"stars":0,"starred":false,"owner":{"type":"team","id":"356546a635010146","login":"tdvz","name":"ToulouseDataviz","avatar_url":"https://avatars-next.observableusercontent.com/8cc8684f3b4b43d6bc2009295d66ea4d6c8dd1f1277afd34eb0f010ade242a05","tier":"starter_2024"},"version":28564,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"39f8227195038a1f","login":"aotten","name":"Alain Ottenheimer","avatar_url":"https://avatars-next.observableusercontent.com/c908270df8ca89015b1f236bb9cc9fb2d79a649dbedef18f6cf2290d288650c3","tier":null}],"members":[{"type":"individual","id":"39f8227195038a1f","login":"aotten","name":"Alain Ottenheimer","avatar_url":"https://avatars-next.observableusercontent.com/c908270df8ca89015b1f236bb9cc9fb2d79a649dbedef18f6cf2290d288650c3","tier":null,"role":"editor"},{"type":"team","id":"356546a635010146","login":"tdvz","name":"ToulouseDataviz","avatar_url":"https://avatars-next.observableusercontent.com/8cc8684f3b4b43d6bc2009295d66ea4d6c8dd1f1277afd34eb0f010ade242a05","tier":"starter_2024","role":"editor"}],"comments":[],"custom_thumbnail":true,"trashed":false,"subscribed":null,"forks":0,"collection":{"id":"71604b9a149d9a33","slug":"collections_tdv","title":"Collections_TDV","owner":{"id":"356546a635010146","login":"tdvz","name":"ToulouseDataviz"}},"type":"notebook","body":{"title":" CovidOscope V5.0","cells":[{"id":0,"value":"paragraph1 = md`\n# CovidOscope V5.0\n## Suivi des indicateurs de la pandémie de la COVID-19 en France\n---\n\nVoir annexe 1 pour plus d'information sur les données ^{[[1](#footnote1)]} \n\nVoir annexe 2 pour les autres références ^{[[2](#footnote2)]} \n\nVoir annexe 3 pour la to do list ^{[[3](#footnote3)]} \n\n---\n`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":21180,"value":"md`## GRAPHIQUES `","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9541,"value":"md`### Carte petits multiples interactive`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":12,"value":"$2f","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6543,"value":"viewof select_affichage = radio({\n title: \"\",\n //description: \"Modifiez le type d'affichage\",\n options: ['En nombre', 'En ‱ de la population'],\n value: 'En nombre'\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":18696,"value":"viewof select_week_day = radio({\n title: \"\",\n //description: \"Modifiez le type d'affichage\",\n options: [\n { label: 'historique', value: 'oui' },\n { label: 'dernier mois', value: 'non' }\n ],\n value: 'oui'\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":472,"value":"viewof selectedEncoding = select({\n title: '',\n description: 'Selectionnez l\\'indicateur pour la carte',\n options: [\n { label: 'nb décés', value: 'deces' },\n { label: 'nb Réanimation Soins intensifs', value: 'rea_soins_intensifs' },\n { label: 'nb hospitalisés', value: 'hospitalises' },\n { label: 'nb retour à domicile', value: 'retour_domicile' },\n { label: 'nb retour à domicile cumulé', value: 'retour_domicile_cumul' },\n { label: 'nb de décés cumulés', value: 'deces_cumul' },\n { label: 'taux d\\'incidence', value: 'tx_incid' },\n { label: 'taux de positivité', value: 'tx_pos' },\n { label: 'taux d\\'occupation', value: 'tx_occupation_sae' },\n { label: 'R', value: 'R' }\n ],\n value: 'hospitalises'\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8,"value":"graph_svg = DOM.download(\n await serialize(chart),\n 'chart_' + selectedEncoding + '_' + select_affichage + '.svg',\n 'Download as svg'\n)\n//graph_svg = DOM.download(() => serialize(chart), 'chart.svg', \"Download as svg\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":4839,"value":"viewof select_jour = select({\n title: \"\",\n description: \"Choisissez une date.\",\n options: jour_list,\n value :jour_list[jour_list.length-1]\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1472,"value":"viewof select_scale = radio({\n title: \"\",\n description: \"Modifiez l'échelle\",\n options: [\n 'Auto',\n '2',\n '10',\n '50',\n '100',\n '200',\n '500',\n '1000',\n '2500',\n '5000',\n '10000'\n ],\n value: 'Auto'\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6305,"value":"graph_png = DOM.download(\n await rasterize(chart),\n 'chart_' + selectedEncoding + '_' + select_affichage + '.svg',\n \"Download as PNG\"\n)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6324,"value":"csvBtn = bouton(raw_data_hosp_ratio, 'data_covid_' + select_jour + '.csv')","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9181,"value":"md`### Graphique en barres France `","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9033,"value":"viewof selectedEncoding_new = select({\n title: '',\n description: 'Selectionnez l\\'indicateur pour le graphique à barres',\n //options: ['deces', 'rea_soins_intensifs','hospitalises','retour_domicile'],\n options: [\n 'Nombre quotidien de personnes nouvellement décédées',\n 'Nombre quotidien de nouvelles admissions en réanimation',\n 'Nombre quotidien de personnes nouvellement hospitalisées',\n 'Nombre quotidien de nouveaux retours à domicile'\n ],\n value: 'Nombre quotidien de personnes nouvellement hospitalisées'\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8541,"value":"$30","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":25526,"value":"viewof bandwidth = slider({\n title: \"Bandwidth (reglage régression locale ou LOESS)\",\n min: .02,\n max: 1,\n step: .01,\n value: .33\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9249,"value":"md`### Synthèse en chiffre `","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6056,"value":"text_france = html`${dateFr(\n deltaDate(filter_jour, 0, 1, 0)\n)} \$semaine du ${dateFr(years[years.length - 1])} en cours\$
\nTotal France (données hospitalières)
\n• ${texte[0] + \" : \"} ${total.dc}
\n• ${texte[1] + \" : \"} ${total.rea}
\n• ${texte[2] + \" : \"} ${total.hosp}
\n• ${texte[3] + \" : \"} ${total.rad}
\n`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":4835,"value":"viewof select_dep = select({\n title: \"\",\n description: \"Choisissez un département.\",\n options: mosaique.map(d => +d.INSEE_DEP + \" - \" + d.NOM_DEP),\n value: \"31 - Haute-Garonne\"\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":26030,"value":"$31","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6156,"value":"text_dep = html`\nTotal département ${select_dep.slice(\n 4\n)}
\n• ${texte[0] + \" : \"} ${total_dep.dc}
\n• ${texte[1] + \" : \"} ${total_dep.rea}
\n• ${texte[2] + \" : \"} ${total_dep.hosp}
\n• ${texte[3] + \" : \"} ${total_dep.rad}\n`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6100,"value":"text_size=[\"4px\",\"5px\",\"6px\"] ","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6094,"value":"text_color = [\"blue\", \"grey\", \"111111\"]","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6367,"value":"printTable(raw_data_hosp_ratio.slice(0, 2))","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":12177,"value":"printTable(data_epidemie.filter(d=> d.jour==select_jour_dateFormat.toString()).slice(0, 2))","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":12186,"value":"data_epidemie.filter(d=> d.jour==select_jour_dateFormat)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":417,"value":"viewof selectedRamp = select({\n title: 'Réglages ',\n description: 'Choisissez la rampe de couleur du graphique',\n options: (colorRamps).flat(), ////\n value: 'RdPu' // Inferno\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":376,"value":"ramp(selectedRamp)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":936,"value":"viewof bgColor = color({\n value: \"#000\",\n description: 'Choisissez la couleur de fond du graphique'\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":953,"value":"viewof textColor = color({\n value: \"#333\",\n description: 'Choisissez la couleur du texte',\n })","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":12288,"value":"selectedEncoding_new","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":3644,"value":"md`## DATA\n`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8519,"value":"md`### DATA hospitallières\nUn ID unique (date+dep+sexe) est créé pour les merges\n\nhttps://www.data.gouv.fr/fr/datasets/donnees-hospitalieres-relatives-a-lepidemie-de-covid-19/#_\n\n`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":3671,"value":"raw_data_hosp_ = d3.dsv(\n ';',\n 'https://www.data.gouv.fr/fr/datasets/r/63352e38-d353-4b54-bfd1-f1b3ee1cabd7',\n d => {\n const r = {\n id: d.dep + d.jour + d.sexe,\n dep: +d.dep < 10 ? (+d.dep).toString() : d.dep,\n sexe: d.sexe,\n jour: parseSafe(d.jour),\n jour_fr: dateFr(parseSafe(d.jour)),\n hosp: +d.hosp,\n rea: +d.rea,\n rad: +d.rad,\n dc: +d.dc\n };\n return r;\n }\n)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8534,"value":"md`### DATA hospitallières Nouveaux \nUn ID unique (date+dep+sexe=0) est créé pour les merges (sexe =0 => H+F)\n\nhttps://www.data.gouv.fr/fr/datasets/donnees-hospitalieres-relatives-a-lepidemie-de-covid-19/\n`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8531,"value":"raw_data_hosp_new = d3.dsv(\n ';',\n 'https://www.data.gouv.fr/fr/datasets/r/6fadff46-9efd-4c53-942a-54aca783c30c',\n d => {\n const parseDate = d3.utcParse('%Y-%m-%d');\n const r = {\n id: d.dep + d.jour + \"0\",\n dep: +d.dep < 10 ? (+d.dep).toString() : d.dep,\n jour: parseDate(d.jour),\n jour_fr: dateFr(parseDate(d.jour)),\n indic_hosp: +d.incid_hosp,\n indic_rea: +d.incid_rea,\n indic_rad: +d.incid_rad,\n indic_dc: +d.incid_dc\n };\n return r;\n }\n)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9132,"value":"md` ### DATA indicateurs de suivi de l’épidémie\nUn ID unique (date+dep+sexe=0) est créé pour les merges (sexe =0 => H+F)\nhttps://www.data.gouv.fr/fr/datasets/indicateurs-de-suivi-de-lepidemie-de-covid-19/#_\n`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9127,"value":"raw_data_epidemie_ = d3.dsv(\n ',',\n 'https://www.data.gouv.fr/fr/datasets/r/4acad602-d8b1-4516-bc71-7d5574d5f33e',\n d => {\n const g = {\n id: d.departement + d.extract_date + \"0\",\n dep: +d.departement < 10 ? (+d.departement).toString() : d.departement,\n jour: parseSafe(d.extract_date),\n jour_fr: dateFr(parseSafe(d.extract_date)),\n tx_incid: +d3.format(\".0f\")(d.tx_incid),\n R: +d3.format(\".1f\")(d.R),\n tx_occupation_sae: +d3.format(\".0f\")(d.taux_occupation_sae),\n tx_pos: +d3.format(\".0f\")(d.tx_pos)\n };\n return g;\n }\n)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":4353,"value":"md`### DATA position des petits multiples \n\npositionnement des départements sur la carte `","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":20166,"value":"/*raw_mosaique = FileAttachment(\"raw_mosaique@1.csv\").csv() // si notebook published\n */\nraw_mosaique = d3.csv(\n \"https://raw.githubusercontent.com/ToulouseDataViz/COVID-19/master/data/raw_mosaique.csv\",\n d3.autoType\n)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1467,"value":"mosaique =raw_mosaique //.filter(d => d.INSEE_DEP !=\"96\" & d.INSEE_DEP !=\"97\" & d.INSEE_DEP !=\"98\" & d.INSEE_DEP !=\"99\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":16040,"value":"md`### DATA regroupement raw data par week`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":16003,"value":"raw_data_hosp_byWeek = d3\n .nest()\n .key(d => d3.timeFormat('%Y-%m-%d')(d3.timeWeek(d.jour)))\n .key(d => d.dep)\n .rollup(function(v) {\n return {\n hosp: d3.max(v, function(d) {\n return d.hosp;\n }),\n rea: d3.max(v, function(d) {\n return d.rea;\n }),\n dc: d3.max(v, function(d) {\n return d.dc;\n }),\n rad: d3.max(v, function(d) {\n return d.rad;\n })\n };\n })\n .entries(raw_data_hosp_.filter(d => d.sexe == 0))","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":16038,"value":"raw_data_hosp_new_byWeek = d3\n .nest()\n .key(d => d3.timeFormat('%Y-%m-%d')(+d3.timeWeek(d.jour)))\n .key(d => d.dep)\n .rollup(function(v) {\n return {\n indic_hosp: d3.max(v, function(d) {\n return d.indic_hosp;\n }),\n indic_rea: d3.max(v, function(d) {\n return d.indic_rea;\n }),\n indic_dc: d3.max(v, function(d) {\n return d.indic_dc;\n }),\n indic_rad: d3.max(v, function(d) {\n return d.indic_rad;\n })\n };\n })\n .entries(raw_data_hosp_new)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":16206,"value":"raw_data_epidémie_byWeek = d3\n .nest()\n .key(d => d3.timeFormat('%Y-%m-%d')(+d3.timeWeek(d.jour)))\n .key(d => d.dep)\n .rollup(function(v) {\n return {\n tx_incid: d3.max(v, function(d) {\n return d.tx_incid;\n }),\n tx_occupation_sae: d3.max(v, function(d) {\n return d.tx_occupation_sae;\n }),\n tx_pos: d3.max(v, function(d) {\n return d.tx_pos;\n }),\n R: d3.max(v, function(d) {\n return d.R;\n })\n };\n })\n .entries(raw_data_epidemie_)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":16240,"value":"md`### DATA reformattage by week\nFormat sans arborescence\n`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":16060,"value":"raw_data_hosp_byWeek_temp = {\n const parseDate = d3.utcParse('%Y-%m-%d');\n let temp_data = [];\n for (let i = 0; i < raw_data_hosp_byWeek.length; i++) {\n for (let j = 0; j < raw_data_hosp_byWeek[i].values.length; j++) {\n temp_data.push({\n id:\n raw_data_hosp_byWeek[i].values[j].key +\n raw_data_hosp_byWeek[i].key +\n \"0\",\n jour: parseDate(raw_data_hosp_byWeek[i].key),\n jour_fr: dateFr(parseDate(raw_data_hosp_byWeek[i].key)),\n dep: raw_data_hosp_byWeek[i].values[j].key,\n hosp: raw_data_hosp_byWeek[i].values[j].value.hosp,\n rea: raw_data_hosp_byWeek[i].values[j].value.rea,\n dc: raw_data_hosp_byWeek[i].values[j].value.dc,\n rad: raw_data_hosp_byWeek[i].values[j].value.rad\n });\n }\n }\n return temp_data;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":16174,"value":"raw_data_hosp_new_byWeek_temp = {\n const parseDate = d3.utcParse('%Y-%m-%d');\n let temp_data = [];\n for (let i = 0; i < raw_data_hosp_new_byWeek.length; i++) {\n for (let j = 0; j < raw_data_hosp_new_byWeek[i].values.length; j++) {\n temp_data.push({\n id:\n raw_data_hosp_new_byWeek[i].values[j].key +\n raw_data_hosp_new_byWeek[i].key +\n \"0\",\n jour: parseDate(raw_data_hosp_new_byWeek[i].key),\n jour_fr: dateFr(parseDate(raw_data_hosp_new_byWeek[i].key)),\n dep: raw_data_hosp_new_byWeek[i].values[j].key,\n indic_hosp: raw_data_hosp_new_byWeek[i].values[j].value.indic_hosp,\n indic_rea: raw_data_hosp_new_byWeek[i].values[j].value.indic_rea,\n indic_dc: raw_data_hosp_new_byWeek[i].values[j].value.indic_dc,\n indic_rad: raw_data_hosp_new_byWeek[i].values[j].value.indic_rad\n });\n }\n }\n return temp_data;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":16221,"value":"raw_data_epidémie_byWeek_temp = {\n const parseDate = d3.utcParse('%Y-%m-%d');\n let temp_data = [];\n for (let i = 0; i < raw_data_epidémie_byWeek.length; i++) {\n for (let j = 0; j < raw_data_epidémie_byWeek[i].values.length; j++) {\n temp_data.push({\n id:\n raw_data_epidémie_byWeek[i].values[j].key +\n raw_data_epidémie_byWeek[i].key +\n \"0\",\n jour: parseDate(raw_data_epidémie_byWeek[i].key),\n jour_fr: dateFr(parseDate(raw_data_epidémie_byWeek[i].key)),\n dep: raw_data_epidémie_byWeek[i].values[j].key,\n tx_incid: raw_data_epidémie_byWeek[i].values[j].value.tx_incid,\n tx_occupation_sae:\n raw_data_epidémie_byWeek[i].values[j].value.tx_occupation_sae,\n tx_pos: raw_data_epidémie_byWeek[i].values[j].value.tx_pos,\n R: raw_data_epidémie_byWeek[i].values[j].value.R\n });\n }\n }\n return temp_data;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":16532,"value":"//","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":16245,"value":"md`### DATA merge `","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":16569,"value":"md`#### - Recherche du jour correspondant à la date d'aujourd'hui moins un mois `","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":19145,"value":"function deltaDate(input, days, months, years) {\n return new Date(\n input.getFullYear() + years,\n input.getMonth() + months,\n Math.min(\n input.getDate() + days,\n new Date(\n input.getFullYear() + years,\n input.getMonth() + months + 1,\n 0\n ).getDate()\n )\n );\n }\n","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":14702,"value":"filter_jour = {\n var filter_jour = raw_data_hosp_new[raw_data_hosp_new.length - 1].jour;\n return deltaDate(filter_jour, 0, -1, 0);\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":16499,"value":"md`#### - Merge des DATA par jour avec filtrage sur le dernier mois \n\nles données sexe =1 (H) et sexe =2(F) ne sont pas mergées car elles n'existe pas pour le jeu de données hospital_new`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":14257,"value":"data_merge_ = merge_raw_data(\n raw_data_hosp_new.filter(d => d.jour >= filter_jour),\n raw_data_hosp_.filter(d => d.jour >= filter_jour)\n)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":14618,"value":"data_merge = merge_raw_data(\n data_merge_,\n raw_data_epidemie_.filter(d => d.jour >= filter_jour)\n)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":16502,"value":"md`#### - Merge des DATA par week \n\nles données sexe =1 (H) et sexe =2(F) ne sont pas mergées car elles n'existe pas pour le jeu de données hospital_new`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":16176,"value":"data_merge_byWeek_ = merge_raw_data(\n raw_data_hosp_byWeek_temp,\n raw_data_hosp_new_byWeek_temp\n)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":16219,"value":"data_merge_byWeek = merge_raw_data(data_merge_byWeek_, raw_data_epidémie_byWeek_temp)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":14269,"value":"md`### DATA ajout ratio population `","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9230,"value":"md`#### - Calcul du ratio : taux pour 10 000 habitant`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6644,"value":"ratio = {return mosaique.map(d=> {\n return {\n dep : (d.INSEE_DEP).toString(),\n ratio : d3.format(\".2f\")(d.POP_2018*1e-4)}})}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6920,"value":"$32","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":23213,"value":"md`#### - Filtrage sexe et jour `","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2879,"value":"data_hosp_ratio = raw_data_hosp_ratio.filter(d => d.sexe == sexe && d.jour <= select_jour_dateFormat)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":5066,"value":"md`### DATAset pour la carte interactive'`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2869,"value":"nesting = d3\n .nest()\n .key(d => d.dep)\n .entries(data_hosp_ratio)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2874,"value":"$33","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":264,"value":"cartogram_data = mosaique.map(obj => Object.assign({}, obj, {\n data: data_hosp.find(d => d.key === obj.INSEE_DEP.toString()),\n}))","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":14786,"value":"md`### DATA France\n\nSomme des indicateurs tous les départements`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":5388,"value":"md`#### -Calcul du total France`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2472,"value":"// France entière \ndata_total = data_hosp_ratio.filter (d =>d.jour >= years[years.length-1])","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":7113,"value":"total_pop_fr = d3.sum(data_total.map(d=>d.ratio))","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2527,"value":"total = ({\n dc : select_affichage =='En nombre' ? d3.sum(data_total.map(d=>d.dc)) : d3.format(\".2f\")(d3.sum(data_total.map(d=>d.dc*d.ratio))/total_pop_fr),\n rea : select_affichage =='En nombre' ? d3.sum(data_total.map(d=>d.rea)) : (d3.format(\".2f\"))(d3.sum(data_total.map(d=>d.rea*d.ratio))/total_pop_fr),\n hosp : select_affichage =='En nombre' ? d3.sum(data_total.map(d=>d.hosp)) : (d3.format(\".2f\"))(d3.sum(data_total.map(d=>d.hosp*d.ratio))/total_pop_fr),\n rad : select_affichage =='En nombre' ? d3.sum(data_total.map(d=>d.rad)) :(d3.format(\".2f\")) (d3.sum(data_total.map(d=>d.rad*d.ratio))/total_pop_fr),\n })\n","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":5068,"value":"md`#### - Calcul des sommes par département`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":4780,"value":"total_dep_filter = data_hosp_ratio.filter(d => {\n return d.dep == +select_dep_nb;\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":4800,"value":"total_dep = ({\n dc : total_dep_filter.find(d=> d.jour >= years[years.length-1]).dc,\n hosp : total_dep_filter.find(d=> d.jour >= years[years.length-1]).hosp,\n rea : total_dep_filter.find(d=> d.jour >= years[years.length-1]).rea,\n rad : total_dep_filter.find(d=> d.jour >= years[years.length-1]).rad,\n })","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8543,"value":"// Somme des indicateurs pour l'ensemble des départements\nraw_data_hosp_new_sum = d3\n .nest()\n .key(d => d.jour)\n .rollup(function(v) {\n return {\n indic_dc: d3.sum(v, function(d) {\n return d.indic_dc;\n }),\n indic_rea: d3.sum(v, function(d) {\n return d.indic_rea;\n }),\n indic_hosp: d3.sum(v, function(d) {\n return d.indic_hosp;\n }),\n indic_rad: d3.sum(v, function(d) {\n return d.indic_rad;\n })\n };\n })\n .entries(raw_data_hosp_new) //.filter(d => d.jour >= filter_jour))","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":15116,"value":"md`### DATA pour la courbe de LOESS`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":10777,"value":"raw_data_hosp_new_sum_loess = {return raw_data_hosp_new_sum.map(d=> {\n return {\n x : d.key,\n y : d.value[indic_type(selectedEncoding_new)] }})} ","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":23174,"value":"md`### DATA fonctions diverses `","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2886,"value":"sexe = 0 // H+F\n/*\n// Selecteur choix sexe supprimer depuis l'integration des données indicateurs nouveaux qui ne font pas le distingo. \nviewof sexe = radio({\n title: '',\n description: 'choisissez le sexe',\n options: [\n { label: 'H', value: 1 },\n { label: 'F', value: 2 },\n { label: 'H+F', value: 0 }\n ],\n value: 0\n})\n*/","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9564,"value":"md`#### - Recherche du numéro de département selectionné`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":4826,"value":"select_dep_nb = {\nif (select_dep.slice(1,2)==\"A\" | select_dep.slice(1,2)==\"B\") return (select_dep.slice(0,2))\nif (Number(select_dep.slice(0,2))<96 ) return (select_dep.slice(0,2))\nif (Number(select_dep.slice(0,3))>=900) return (select_dep.slice(0,3))\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":23180,"value":"md`#### - Liste des jours extraite du jeu de données`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":4884,"value":"Mapjour = new Map(raw_data_hosp_ratio.map(c => [c.jour_fr, c]))","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":4890,"value":"jour_list = Array.from(Mapjour.keys())","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":20280,"value":"md`#### - Liste des weeks extraite du jeu de données`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":19593,"value":"Mapweek = new Map(raw_data_hosp_ratio.map(c => [format(c.jour), c]))","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":19540,"value":"week_list = {\n var list = Array.from(Mapweek.keys());\n var temp = [];\n for (let i = 0; i < list.length; i++) {\n temp.push(d3.timeFormat(\"%V\")(list[i]));\n }\n return temp;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9575,"value":"md`#### - Mise au format de la date sélectionnée`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":5123,"value":" select_jour_dateFormat = raw_data_hosp_ratio.find(d=> d.jour_fr == select_jour).jour","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":16487,"value":"md`#### - DATA traitement des differences de format des dates`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9123,"value":"parseDateMinus = d3.utcParse('%Y-%m-%d')","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9121,"value":"parseDateSlash = d3.utcParse('%d/%m/%Y')","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9119,"value":"parseSafe = d => {\n let rv = parseDateMinus(d);\n if (rv) return rv;\n return parseDateSlash(d);\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":16483,"value":"md`#### - DATA merge par ID`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":14254,"value":"merge_raw_data = (a1, a2) =>\n a1.map(itm => ({\n ...a2.find(item => item.id === itm.id), //&& item),\n ...itm\n }))","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":16491,"value":"md`#### - DATA merge par dep`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6665,"value":"merge = (a1,a2) =>\n a1.map(itm => ({\n ...a2.find((item) => item.dep === itm.dep),\n ...itm\n }));","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":15458,"value":"md`#### - Détermination de la date de la dernière publication du taux d'incidence`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":16618,"value":"data_epidemie = raw_data_epidemie_\n .filter(d => d.tx_incid != \"NA\")\n .sort((a, b) => a.jour - b.jour)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":13094,"value":"last_date_w_tx_value = data_epidemie\n .reverse()\n .filter(d => d.tx_incid != '')\n .find(d => d.jour).jour","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":55,"value":"md`## CONFIGURATION `","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":24795,"value":"md`### Paramètres carte interactive `","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":20251,"value":"md`#### - Traduction des indicateurs dans une forme plus textuelle### `","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9040,"value":"// Traduction des indicateurs dans une forme plus compréhensible \nindic_type = d3.scaleOrdinal().domain(['Nombre quotidien de personnes nouvellement décédées','Nombre quotidien de nouvelles admissions en réanimation','Nombre quotidien de personnes nouvellement hospitalisées','Nombre quotidien de nouveaux retours à domicile']).range(['indic_dc','indic_rea', 'indic_hosp', 'indic_rad' ])","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9579,"value":"md`#### - Texte affichage choix 'En nombre' ou 'En ‱ de la population### `","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":7038,"value":"$34","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":23224,"value":"md`#### - Liste des dates ### `","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":3619,"value":"years = data_hosp_ratio\n .map(d => d.jour)\n .filter(\n (jour, i, self) => self.findIndex(d => d.getTime() === jour.getTime()) === i\n )","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":5407,"value":"md`#### - Calcul des min et max ### `","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1514,"value":"minmaxValues = {\n if (select_week_day != 'non') {\n var temp = {\n date_min: d3.min(years),\n date_max: new Date(d3.max(years).getTime() + 86400000 * 7)\n };\n return temp;\n } else {\n var temp = {\n date_min: d3.min(years),\n date_max: new Date(d3.max(years).getTime() + 86400000)\n };\n return temp;\n }\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":3494,"value":"maxValues = ({\n y: select_scale=='Auto' ? checkVar(selectedEncoding) : select_scale})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":17342,"value":"md`#### - Fonctions d'affectation des couleurs en fonction des seuils### `","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":25995,"value":"line_color = d3\n .scaleOrdinal()\n .domain([\"R\", \"tx_incid\", \"tx_pos\", \"tx_occupation_sae\"])\n .range([\"#ffffcc\", \"#ffccff\", \"#ccffff\", \"#ffcfcf\"])\n .unknown(\"white\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":17319,"value":"dep_color_R = d3\n .scaleThreshold()\n .domain([1, 1.5])\n .range([\"green\", \"orange\", \"red\"])\n .unknown(\"white\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":17317,"value":"dep_color_tx_pos = d3\n .scaleThreshold()\n .domain([5, 10])\n .range([\"green\", \"orange\", \"red\"])\n .unknown(\"white\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":17313,"value":"dep_color_tx_occupation_sae = d3\n .scaleThreshold()\n .domain([10, 50])\n .range([\"green\", \"orange\", \"red\"])\n .unknown(\"white\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":10234,"value":"dep_color_tx_indic = d3\n .scaleThreshold()\n .domain([30, 60])\n .range([\"green\", \"orange\", \"red\"])\n .unknown(\"white\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":25531,"value":"md`#### - Fonctions autres### `","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":25534,"value":"graph_type = {\n var graph = [];\n if (\n (selectedEncoding == 'tx_incid') |\n (selectedEncoding == 'tx_pos') |\n (selectedEncoding == 'tx_occupation_sae') |\n (selectedEncoding == 'R')\n ) {\n graph = 'line';\n } else {\n graph = 'bar';\n }\n return graph;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":3539,"value":"//parseDate = d3.timeParse('%d/%m/%Y');\nparseDate = d3.utcParse('%d/%m/%Y');","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":4901,"value":"function dateFr(date){ \n var jours = new Array(\"dim\", \"lun\", \"mar\", \"mer\", \"jeu\", \"ven\", \"sam\");\n var mois = new Array(\"jan\", \"fev\", \"mars\", \"avr\", \"mai\", \"juin\", \"juil\", \"aout\", \"sep\", \"oct\", \"nov\", \"dec\");\n //var message = jours[date.getDay()] + \" \"; // nom du jour\n var message = date.getDate() + \" \"; // numero du jour\n message += mois[date.getMonth()] + \" \"; // mois\n message += date.getFullYear();\n return message;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2009,"value":"format = d3.format(\".0f\");","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2463,"value":"formatDateTitle =d3.timeFormat(\"%e %B %Y\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1762,"value":"$35","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1034,"value":"$36","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":5422,"value":"dept_text = mosaique.map(d=>d.INSEE_DEP+ \" - \"+d.NOM_DEP)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":5427,"value":"function get_dep_name (number){ \n var nom_dep= mosaique.find(d=> d.INSEE_DEP == number).NOM_DEP\n return nom_dep\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":893,"value":"get_range = ramp => {\n const maxRange = 4\n if (d3[`scheme${ramp}`] === undefined) {\n // this is a sequential, multi-hue value\n // so we'll need to do some minor work\n const sequentialScale = d3.scaleSequential(d3[`interpolate${ramp}`])\n .domain(z.domain())\n \n return [\n 0, \n maxValues[`highest_${selectedEncoding}`] / 2, \n maxValues[`highest_${selectedEncoding}`]\n ].map(d => sequentialScale(d))\n } else {\n // use a scheme!\n return d3[`scheme${ramp}`][maxRange]\n }\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":395,"value":"get_value = (d, key=selectedEncoding) => {\n // return data based on data key\n const { value } = cartogram_data\n .find(v => v.INSEE_DEP == d.nom_dept)\n .data[key]\n .find(v => v.key === d.key)\n return value\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":582,"value":"get_values = key => data_hosp.map(d => d[key].map(d => d.value)).flat()","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":629,"value":"clusterScale = scaleCluster()\n .domain(get_values(selectedEncoding))\n .range(get_range(selectedRamp))\n // Actual color scheme: ['rgb(251, 172, 165)', 'rgb(214, 48, 147)', 'rgb(73, 0, 106)']","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":419,"value":"colorRamps = [\n ['Blues', 'Greens', 'Greys', 'Oranges', 'Purples', 'Reds'],\n ['BuGn', 'BuPu', 'GnBu', 'OrRd', 'PuBuGn', 'PuBu', 'PuRd', 'RdPu', 'YlGnBu', 'YlGn', 'YlOrBr', 'YlOrRd'],\n ['Viridis', 'Inferno', 'Magma', 'Plasma', 'Warm', 'Cool', 'CubehelixDefault'],\n ['BrBG', 'PRGn', 'PiYG', 'PuOr', 'RdBu', 'RdGy', 'RdYlBu', 'RdYlGn', 'Spectral'],\n ['Rainbow', 'Sinebow']\n]","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1727,"value":"path = d3.geoPath()","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":216,"value":"x = d3\n .scaleTime()\n .domain([minmaxValues.date_min, minmaxValues.date_max])\n .range([0, 1.2 * ratioHW * state_size])","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":220,"value":"z = d3\n .scaleLinear()\n .domain([0, maxValues.y])\n .range([1.2 * state_size, 0])","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":12815,"value":" axisPosition = (cell, size = state_size, padding = state_padding) => \n (cell * (size + padding)) + size / 2","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":222,"value":"xAxis = g => g\n .attr('transform', d => `translate(${x_column(d)}, ${y_column(d)+(z(0) - z(maxValues.y))})`)\n .call(d3.axisBottom(x).ticks(12).tickSize(3).tickSizeOuter(0).tickFormat(() => \"\"))","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":235,"value":"x_column = ({column}) => 0.4*column * (state_size + state_padding)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":233,"value":"y_column = ({row}) => 0.4*row * (state_size + state_padding)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":20,"value":"margin = ({ top: 40, right: 20, bottom: 20, left: 20 })","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1511,"value":"ratioHW = 1.25","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":93,"value":"state_padding = 0","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":91,"value":"state_size = (width/ offset) ","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":81,"value":"offset = 25","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6322,"value":"bouton = (data, filename = 'data.csv') => {\n if (!data) throw new Error('Array of data required as first argument');\n\n let downloadData;\n if (filename.includes('.csv')) {\n downloadData = new Blob([d3.csvFormat(data)], { type: \"text/csv\" });\n } else {\n downloadData = new Blob([JSON.stringify(data, null, 2)], {\n type: \"application/json\"\n });\n }\n\n const size = (downloadData.size / 1024).toFixed(0);\n const bouton = DOM.download(\n downloadData,\n filename,\n //`Download ${filename} (~${size} KB)`\n `Download ${filename}`\n );\n return bouton;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":21203,"value":"md`### Paramètres graphique en barres `","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":10742,"value":"regressionGenerator = d3\n .regressionLoess()\n .x(d => new Date(d.x))\n .y(d => d.y)\n .bandwidth(bandwidth)\n/*regressionGenerator = d3\n .regressionPoly()\n .x(d => new Date(d.x))\n .y(d => d.y)\n .order(3)*/","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8583,"value":"height = width*0.6","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8599,"value":"// Contenu du tooltip\ngetText_2 = d => {\n return `${d3.timeFormat(\"%e %b %y\")(new Date(d.key))}\\nNombre : + ${d3.format(\n \".0f\"\n )(d.value[indic_type(selectedEncoding_new)])}`;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8588,"value":"margin_dept = ({top: 100, right: 20, bottom: 100, left: 120})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8572,"value":"xAxis_dept = g => g\n .attr(\"transform\", `translate(0, ${height - margin_dept.bottom})`)\n .call(d3.axisBottom(scale_x_).ticks(10).tickSizeOuter(0).tickFormat(d3.utcFormat(\"%d %b\")))\n //.ticks(d3.utcDay.every(12))","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8574,"value":"yAxis_dept = g => g\n .attr(\"transform\", `translate(${margin_dept.left}, 0)`)\n .call(d3.axisLeft(scale_y).ticks(3).tickSizeOuter(0))","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8833,"value":"scale_x_ = d3.scaleTime()\n .domain([new Date (raw_data_hosp_new_sum[0].key), new Date(raw_data_hosp_new_sum[raw_data_hosp_new_sum.length-1].key) ])\n .rangeRound([margin_dept.left, width - margin_dept.right])\n \n","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8580,"value":"scale_y = d3.scaleLinear()\n .domain([0, d3.max(raw_data_hosp_new_sum.map(d => d.value[indic_type(selectedEncoding_new)]))])\n //.domain([0, 500])\n .range([height - margin_dept.bottom, margin_dept.top])\n .nice();","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":605,"value":"md`### Libraries and imports`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":23229,"value":"md`## IMPORT`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6364,"value":"import { printTable } from '@uwdata/data-utilities'","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":607,"value":"scaleCluster = require('d3-scale-cluster@1.3.1/dist/d3-scale-cluster.min.js')","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":4,"value":"d3 = require(\"d3@5\", \"d3-svg-legend@2\", \"d3-scale-chromatic@1.3.3\", \"d3-regression\", \"d3-array@^2.10\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":415,"value":"import {select, color, radio, slider} from \"@jashkenas/inputs\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":372,"value":"import {ramp} from \"@mbostock/d3-color-schemes\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6317,"value":"import {rasterize, serialize} from \"@mbostock/saving-svg\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9296,"value":"footnote = (referencingCellName, number, text) => {\n return html`

^ ${text}

`;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":26031,"value":"import { table } from \"@gampleman/table\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":26038,"value":"html``","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":23241,"value":"md`## ANNEXES`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9294,"value":"footnote1 = footnote(\"paragraph1\", 1, \"ANNEXE 1\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9254,"value":"$37","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9314,"value":"footnote2 = footnote(\"paragraph1\", 2, \"ANNEXE 2\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9321,"value":"md`\nExplorateur de données inspiré de https://observablehq.com/@aboutaaron/small-multiple-chart-cartogram\n\nMarkdown-Style Footnotes Refined :https://observablehq.com/@jashkenas/markdown-style-footnotes#paragraph2\n`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9319,"value":"footnote3 = footnote(\"paragraph1\", 3, \"ANNEXE 3\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9323,"value":"md`\nTo do list :\n- `","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"}],"files":"$W38","stdlib":"1","titling":"auto"}} 2e:"$2d:body"