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| import _ from 'underscore';
import d3 from 'd3';
import $ from 'jquery';
import colors from './colors.js';
import { standardRound, computeColor } from './utility.js';
import VisComponent from '../../VisComponent';
class BoxAndWhiskerWidget extends VisComponent {
constructor (el, settings) {
super(el);
this.showScales = settings.showScales !== false;
this.current = settings.result.current;
this.trend = settings.trend;
this.currentValues = this.current.sort(d3.ascending);
this.median = d3.median(this.currentValues);
this.outOfBounds = this.median <= 0 || this.median >= this.trend.max;
$(window).resize(_.bind(this.render, this));
}
chartData () {}
render () {
const toolTipDiv = d3.select('body').append('div')
.attr('class', 'tdash-tooltip')
.style('opacity', 0);
let svg = d3.select(this.el)
.html('')
.attr('width', '100%')
.attr('height', '100%');
// An IQR factor for determining outliers is a good rule of thumb. See
// https://en.wikipedia.org/wiki/Box_plot for further explanation.
const iqrFactor = 1.5;
const min = 0;
const max = this.trend.max;
const margin = {top: 10, right: 20, bottom: 10, left: 10};
const w = svg[0][0].clientWidth - margin.left - margin.right;
const h = svg[0][0].clientHeight - margin.top - margin.bottom;
svg.style('padding-left', margin.left)
.style('padding-right', margin.right);
const q1 = d3.quantile(this.currentValues, 0.25);
const q3 = d3.quantile(this.currentValues, 0.75);
const iqr = q3 - q1;
const outlierRange = iqr * iqrFactor;
const x = d3.scale.linear()
.domain([min, max])
.range([0, w]);
if (this.showScales) {
const xAxis = d3.svg.axis()
.tickSize(1)
.ticks(5)
.orient('bottom')
.scale(x);
svg.append('g')
.attr('transform', 'translate(0,30)')
.call(xAxis);
}
if (this.outOfBounds) {
svg.append('rect')
.attr('x', -margin.left)
.attr('width', w + margin.left + margin.right)
.attr('height', h + margin.top + margin.bottom)
.attr('stroke', colors.fail)
.attr('stroke-width', 3)
.attr('fill-opacity', 0);
}
const quantiles = [
d3.quantile(this.currentValues, 0.05),
d3.quantile(this.currentValues, 0.25),
d3.quantile(this.currentValues, 0.50),
d3.quantile(this.currentValues, 0.75),
d3.quantile(this.currentValues, 0.95)
];
const outliers = _.filter(this.currentValues, val => val < q1 - outlierRange || val > q3 + outlierRange);
// Setup tooltip
svg.on('mouseover', (d) => {
toolTipDiv.transition()
.duration(200)
.style('opacity', 1.0);
let cells = [
['Min', standardRound(this.currentValues[0])],
['5th %ile', standardRound(quantiles[0])],
['25th %ile', standardRound(quantiles[1])],
['Median', standardRound(this.median)],
['75th %ile', standardRound(quantiles[3])],
['95th %ile', standardRound(quantiles[4])],
['Max', standardRound(this.currentValues[this.currentValues.length - 1])],
['# of Samples', this.currentValues.length]
];
if (outliers.length > 0) {
// Add in a blank row to separate Outliers.
cells.push([' ', ' ']);
cells.push(['Outliers', _.map(outliers, standardRound).join(', ')]);
}
let toolTipHtml = '<table style="border-collapse: separate; border-spacing: 10px 2px;">';
_.each(cells, function (cell) {
toolTipHtml += `<tr><td>${cell[0]}</td><td>${cell[1]}</td></tr>`;
});
toolTipHtml += '</table>';
toolTipDiv.html(toolTipHtml)
.style('left', `${d3.event.pageX}px`)
.style('top', `${d3.event.pageY - 28}px`);
})
.on('mouseout', (d) => {
toolTipDiv.transition()
.duration(200)
.style('opacity', 0);
});
svg = svg.append('g');
let vals = svg.selectAll('circle')
.data(outliers)
.enter()
.append('circle')
.on('mouseover', (d) => {
toolTipDiv.transition()
.duration(200)
.style('opacity', 0.9);
toolTipDiv.html('Outlier: ' + d.toString())
.style('left', (d3.event.pageX) + 'px')
.style('top', (d3.event.pageY - 28) + 'px');
})
.on('mouseout', (d) => {
toolTipDiv.transition()
.duration(200)
.style('opacity', 0);
});
vals.attr('cx', (d, i) => {
return (d / max) * w;
}).attr('cy', h / 2)
.attr('r', 3)
.attr('stroke', 'black')
.attr('stroke-width', 1)
.attr('fill', 'white');
const qtrGroup = svg.append('g');
const qtr = qtrGroup.selectAll('rect')
.data([{q1: q1, q3: q3}])
.enter()
.append('rect');
qtr.attr('x', (d, i) => {
return (d.q1 / max) * w;
})
.attr('y', h / 4)
.attr('width', (d, i) => {
return ((d.q3 - d.q1) / max) * w;
})
.attr('height', h / 2)
.attr('fill', computeColor(this.trend, this.median))
.attr('stroke', 'black')
.attr('stroke-width', 1)
.attr('class', 'qtr');
// Draw the whisker marks
const markGroup = svg.append('g');
const marks = markGroup.selectAll('rect')
.data([quantiles[0],
quantiles[2],
quantiles[4]])
.enter()
.append('rect');
marks.attr('x', (d, i) => {
return (d / max) * w;
})
.attr('y', h / 4)
.attr('width', 2)
.attr('height', h / 2);
// Draw the horizontal lines that extend the whiskers
const horGroup = svg.append('g');
const hor = horGroup.selectAll('rect')
.data([
{start: quantiles[0], end: quantiles[1]},
{start: quantiles[3], end: quantiles[4]}
])
.enter()
.append('rect');
hor.attr('x', (d, i) => {
return (d.start / max) * w;
})
.attr('y', h / 2)
.attr('height', 2)
.attr('width', (d, i) => {
return ((d.end - d.start) / max) * w;
});
}
}
export default BoxAndWhiskerWidget;
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