Readmissions with statistical outliers

2c:null 2d:["$","title",null,{"children":"Readmissions with statistical outliers | Jen | Observable"}] 32:T425,const isOutlier = d => d.count > threshold_higher || d.count < threshold_lower; const plot = display(Plot.plot({ title: "Monthly readmissions with statistical outliers", subtitle: "Months beyond ±2 standard deviations from the mean are highlighted", grid: true, y: { label: "No. of readmissions" }, x: { label: "Discharge Date" }, marks: [ Plot.lineY(monthly, {x: "month", y: "count", stroke: "#ff7034", strokeWidth: 5}), Plot.ruleY([threshold_higher], {stroke: "#e63946", strokeDasharray: "4,4"}), Plot.ruleY([threshold_lower], {stroke: "#e63946", strokeDasharray: "4,4"}), // normal months Plot.dot(monthly.filter(d => !isOutlier(d)), { x: "month", y: "count", symbol: "hexagon", r: 7, fill: "#03045E", stroke: "#03045E", strokeWidth: 2, tip: true }), // outliers (beyond ±2 SD) Plot.dot(monthly.filter(isOutlier), { x: "month", y: "count", symbol: "star", r: 8, fill: "#e63946", stroke: "#e63946", strokeWidth: 2, tip: true }), Plot.ruleY([0]) ] }));33:T765,const payload = { monthly: monthly.map(d => ({month: d.month.toISOString(), count: d.count})), threshold_higher, threshold_lower }; const standaloneHtml = ` Readmissions with statistical outliers