D3.js Boxplot with Axes and Labels

A box-and-whisker plot with axes. Based on Mike Bostock's implementation. Instead of using individual svg elements as in Mike's implementation, here all boxplots are rendered with in one root element. This makes it easy to add axes.

Further differences between the two implementations are:

visibility of boxplot labels can be switched with the labels variable
CSV files are supported in which each column is an independent variable and each row contains measurements for all variables (see data.csv)
transitions are not used here but can be easily added again

forked from jensgrubert's block: D3.js Boxplot with Axes and Labels

<!DOCTYPE html>
<meta charset="utf-8">
<style>

body {
  font-family: "Avenir"
}

.box {
  font: 1px "Avenir";
}

.box line,
.box rect,
.box circle {
  fill: orange;
  stroke: #000000;
  stroke-width: 1.2px;
}

.box .center {
  stroke-dasharray: 2,3;
}

.box .outlier {
  fill: none;
  stroke: #000;
}

.axis {
  font: 12px "Avenir";
}
 
.axis path,
.axis line {
  fill: none;
  stroke: #000;
  shape-rendering: crispEdges;
}
 
.x.axis path { 
  fill: none;
  stroke: #000;
  shape-rendering: crispEdges;
}

</style>
<body>
<script src="https://d3js.org/d3.v3.min.js"></script>
<script src="d3.v3.min.js"></script>
<script src="box.js"></script>
<script>
var labels = true; // show the text labels beside individual boxplots?

var margin = {top: 30, right: 50, bottom: 112, left: 50};
var  width = 800 - margin.left - margin.right;
var height = 400 - margin.top - margin.bottom;
	
var min = Infinity,
    max = -Infinity;
	
// parse in the data	
d3.csv("data.csv", function(error, csv) {
  
	// using an array of arrays with
	// data[n][2] 
	// where n = number of columns in the csv file 
	// data[i][0] = name of the ith column
	// data[i][1] = array of values of ith column

var data = [];
	data[0] = [];
	data[1] = [];
	data[2] = [];
	data[3] = [];
  data[4] = [];
  data[5] = [];
  data[6] = [];
  data[7] = [];

// add more rows if your csv file has more columns

// add here the header of the csv file
	data[0][0] = "Alarms";
	data[1][0] = "Fire";
	data[2][0] = "Hazard";
	data[3][0] = "Citzen_Assist";
  data[4][0] = "Rescue";
  data[5][0] = "Vehicle_Related";
  data[6][0] = "Other";
  data[7][0] = "Medical_Incident";
	// add more rows if your csv file has more columns

data[0][1] = [];
	data[1][1] = [];
	data[2][1] = [];
	data[3][1] = [];
  data[4][1] = [];
  data[5][1] = [];
  data[6][1] = [];
  data[7][1] = [];
  
	csv.forEach(function(x) {
		var v1 = Math.floor(x.Alarms),
			v2 = Math.floor(x.Fire),
			v3 = Math.floor(x.Hazard),
			v4 = Math.floor(x.Citizen_Assist),
      v5 = Math.floor(x.Rescue),
      v6 =  Math.floor(x.Vehicle_Related),
      v7 =  Math.floor(x.Other),
      v8 =  Math.floor(x.Medical_Incident);
			// add more variables if your csv file has more columns
			
    arr = [v1,v2,v3,v4,v5,v6,v7,v8]
// 		var rowMax = Math.max(v1, Math.max(v2, Math.max(v3, Math.max(v4,Math.max(v5, Math.max(v6, Math.max(v7,v8)))))));
// 		var rowMin = Math.min(v1, Math.min(v2, Math.min(v3, Math.min(v4,Math.min(v5, Math.min(v6, Math.min(v7,v8)))))));
    var rowMax = Math.max(v1,v2,v3,v4,v5,v6,v7,v8);
    var rowMin = Math.min(v1,v2,v3,v4,v5,v6,v7,v8);

data[0][1].push(v1);
		data[1][1].push(v2);
		data[2][1].push(v3);
		data[3][1].push(v4);  
    data[4][1].push(v5);
		data[5][1].push(v6);
		data[6][1].push(v7);
		data[7][1].push(v8);
	
		 // add more rows if your csv file has more columns
		 
		if (rowMax > max) max = rowMax;
		if (rowMin < min) min = rowMin;	
    
    max = 15
    
    console.log(data);
	});
  
  
	var chart = d3.box()
		.whiskers(iqr(1.5))
		.height(height)	
		.domain([min, max])
		.showLabels(labels);
 
	var svg = d3.select("body").append("svg")
		.attr("width", width + margin.left + margin.right)
		.attr("height", height + margin.top + margin.bottom)
		.attr("class", "box")    
		.append("g")
		.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
	 
	// the x-axis
	var x = d3.scale.ordinal()	   
		.domain(data.map(function(d) { return d[0] } ) )	    
		.rangeRoundBands([0 , width], 0.7, 0.3);

var xAxis = d3.svg.axis()
		.scale(x)
		.orient("bottom");

// the y-axis
	var y = d3.scale.linear()
		.domain([min, max])
		.range([height + margin.top, 0 + margin.top]);
	
	var yAxis = d3.svg.axis()
    .scale(y)
    .orient("left")

// draw the boxplots	
	svg.selectAll(".box")	   
      .data(data)
	  .enter().append("g")
		.attr("transform", function(d) { return "translate(" +  x(d[0])  + "," + margin.top + ")"; } )
      .call(chart.width(x.rangeBand())); 
	
	      
	// add a title
	svg.append("text")
        .attr("x", (width / 2))             
        .attr("y", 0 + (margin.top / 2))
        .attr("text-anchor", "middle")  
        .style("font-size", "18px") 
        //.style("text-decoration", "underline")  
        .text("SFFD Response Times by Call Type in Dec 2016");
 
	 // draw y axis
	svg.append("g")
        .attr("class", "y axis")
        .call(yAxis)
		.append("text") // and text1
		  .attr("transform", "rotate(-90)")
		  .attr("y", -35)
  		.attr("x", -28)
		  .attr("dy", ".71em")
		  .style("text-anchor", "end")
		  .style("font-size", "13px")
  		.style("font-weight", "bold")
		  .text("Response Time [Minutes]");		
	
	// draw x axis	
	svg.append("g")
      .attr("class", "x axis")
      .attr("transform", "translate(0," + (height  + margin.top + 10) + ")")
      .call(xAxis)
	  .append("text")             // text label for the x axis
    .attr("x", (width / 2) )
    .attr("y",  40 )
    .attr("dy", ".71em")
    .style("text-anchor", "middle")
    .style("font-size", "13px") 
    .style("font-weight", "bold")
    .text("Call Type"); 
});

// Returns a function to compute the interquartile range.
function iqr(k) {
  return function(d, i) {
    var q1 = d.quartiles[0],
        q3 = d.quartiles[2],
        iqr = (q3 - q1) * k,
        i = -1,
        j = d.length;
    while (d[++i] < q1 - iqr);
    while (d[--j] > q3 + iqr);
    return [i, j];
  };
}

</script>

Modified http://d3js.org/d3.v3.min.js to a secure url

https://d3js.org/d3.v3.min.js