Boxplot-generator
Ein Boxplot (manchmal auch Box-and-Whisker-Plot genannt) ist ein Diagramm, das die fünfstellige Zusammenfassung eines Datensatzes zeigt. Die fünfstellige Zusammenfassung besteht aus dem Minimum, dem ersten Quartil, dem Median, dem dritten Quartil und dem Maximum.
Um ein Boxplot für einen bestimmten Datensatz zu erstellen, geben Sie Ihre Daten durch Kommas getrennt in das Feld unten ein:
Minimum:
Erstes Quartil:
Median:
Drittes Quartil:
Maximal:
//function to get weird object keys from object that holds boxplot function resolve(path, obj=self, separator='.') { var properties = Array.isArray(path) ? path : path.split(separator) return properties.reduce((prev, curr) => prev && prev[curr], obj) }
function calc() {
var input_data = document.getElementById('input_data').value.match(/\d+/g).map(Number);
var data = []; for (var i=0; i < input_data.length; i++) { data.push({ Q1: input_data[i] }); } var box = (values) => { var sorted = values.slice(); sorted.sort((a, b) => a - b);
var max = sorted[sorted.length - 1]; var min = sorted[0];
//var upper = d3.quantile(sorted, 0.75); //var mid = d3.quantile(sorted, 0.5); //var lower = d3.quantile(sorted, 0.25);
// find the median of the sample var mid = math.median(sorted);
// split the data by the median var _firstHalf = sorted.filter(function(f){ return f < mid}) var _secondHalf = sorted.filter(function(f){ return f > mid})
// find the medians for each split, calculate IQR var lower = math.median(_firstHalf); var upper = math.median(_secondHalf);
var lowerLimit = lower - ((upper - lower) * 1.5); var lowerWhisker = sorted.find(function(d) { return d > lowerLimit; });
var upperLimit = upper - (-1 * ((upper - lower) * 1.5)); var upperWhisker = sorted.reverse().find(function(d) { return d < upperLimit; }); return { upper: upper, mid: mid, lower: lower, lowerWhisker: lowerWhisker, upperWhisker: upperWhisker, max: max, min:min, outliers: values.filter(function(d) { return d > upperWhisker || d < lowerWhisker; }) } } var flatten = function(arrays) { return arrays.reduce(function(a, b) { return a.concat(b); }, []) } var quarters = Object.keys(data[0]); var series = quarters.map(function(q) { return { quarter: q, data: box(data.map(function(d) { return Number(d[q]); })) }; }) var yFormat = d3.format(',.0f'); var yExtent = fc.extentLinear() .accessors([function(d) { return d.max; }, function(d) { return d.min; }]) .pad([0, 0.1]) .include([0]) var boxplot = fc.seriesSvgBoxPlot() .crossValue(function(d) { return d.quarter; }) .medianValue(function(d) { return d.data.mid; }) .barWidth(50) .upperQuartileValue(function(d) { return d.data.upper; }) .lowerQuartileValue(function(d) { return d.data.lower; }) .highValue(function(d) { return d.data.upperWhisker; }) .lowValue(function(d) { return d.data.lowerWhisker; }); var point = fc.seriesSvgPoint() .crossValue(function(d) { return d[0]; }) .mainValue(function(d) { return d[1]; }); var label = fc.seriesSvgPoint() .crossValue(function(d) { return d[0]; }) .mainValue(function(d) { return d[1]; }) .decorate(function(selection) { selection.enter() .select('path') .attr('display', 'none') selection.enter() .append('text') .style('text-anchor', 'middle') .attr('transform', function(d, i) { return 'translate(' + (i % 2 === 0 ? -50 : 50) + ', 5)'; }) .text(function(d) { return yFormat(d[1]); }) .attr('stroke', 'transparent') .attr('fill', 'black'); }); var multi = fc.seriesSvgMulti() .series([boxplot, point, label]) .mapping((data, index, series) => { switch(series[index]) { case point: return flatten(data.map(function(s) { return s.data.outliers.map(function(o) { return [s.quarter, o]; }) })) case boxplot: return data; } });
var chart = fc.chartSvgCartesian( d3.scalePoint(), d3.scaleLinear() ) .xDomain(quarters) .xPadding(0.1) .yDomain(yExtent(series.map(function(d) { return d.data; }))) .yTickFormat(yFormat) .plotArea(multi);
d3.select('#chart') .datum(series) .call(chart);
//output results var min = resolve('0->data->min', series, '->'); var quartile1 = resolve('0->data->lower', series, '->'); var mid = resolve('0->data->mid', series, '->'); var quartile3 = resolve('0->data->upper', series, '->'); var max = resolve('0->data->max', series, '->'); var outliers = resolve('0->data->outliers', series, '->');
document.getElementById('min').innerHTML = min; document.getElementById('quartile1').innerHTML = quartile1; document.getElementById('mid').innerHTML = mid; document.getElementById('quartile3').innerHTML = quartile3; document.getElementById('max').innerHTML = max;
} //end calc function