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employment.html
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employment.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<script type="text/javascript" src="d3/d3.v3.js"></script>
<link rel="stylesheet" type="text/css" href="style.css" />
<link rel="stylesheet" type="text/css" href="visualization.css" />
<title>Women in Software</title>
</head>
<body>
<div id="header"><a id="home" href="index.html"><div class="circ"></div></a><a id="title" href="index.html">Gender ratios in software companies</a></div>
<div id="side">
<form>
<p class="small">Sort by:</p>
<select id="sort">
<option value="size">Company size</option>
<option value="perc">Percent women</option>
<option value="alph">Alphabetical</option>
</select>
<button type="button" id="reverse">Reverse</button>
<p id="desc">
These values are pulled from <a href="https://github.com/triketora/women-in-software-eng">this
data repository</a>, and are submitted by people who work at these companies. If you have any
information you'd like to contribute, please visit the page and read more about it.
</p>
</form>
</div>
<div id="right">
<h3></h3>
<ul>
<li id="team"></li>
<li id="num"></li>
<li id="num_female"></li>
<li id="updated"></li>
</ul>
</div>
<script type="text/javascript">
// constants for sizing and spacing graphics
var width = 1000,
height = 5000;
var tall = 35;
var padding = 8;
var reversed = false;
var offset = 50;
// scale to size boxes according to the percentage of the companies total employees
var percent_scale = d3.scale.linear()
.domain([0,100])
.range([0,width/2]);
var svg = d3.select("body")
.append("svg")
.attr("width", width + 50)
.attr("height", height);
svg.append("rect")
.attr("fill", "#ffffff")
.attr("x", (width/2)-110)
.attr("y", 0)
.attr("width",215)
.attr("height",tall);
svg.append("line")
.attr("x1", width/2)
.attr("y1", 0)
.attr("x2", width/2)
.attr("y2", tall);
// add key to visualization
svg.append("text").attr("x", (width/2)-100).attr("y",23).attr("class","big").text("% female");
svg.append("text").attr("x", (width/2)+20).attr("y",23).attr("class","big").text("% male");
// add bars for total US workforce (from http://www.dol.gov/wb/factsheets/Qf-laborforce-10.htm)
var percent_female_workers = 47;
svg.append("rect")
.attr("x", width/2 - percent_scale(percent_female_workers))
.attr("y", 50).attr("width", percent_scale(percent_female_workers))
.attr("height", tall)
.style("fill", "#ED427B")
svg.append("rect")
.attr("x", width/2)
.attr("y", 50)
.attr("width", percent_scale(100-percent_female_workers))
.attr("height", tall)
.style("fill", "#374EFA")
svg.append("text")
.attr("x", (width/2)+10)
.attr("y", 72)
.text("American workforce");
// read in data from csv file, pass it into a function and render the visualization
d3.csv("women_in_software.csv", function(company_stats){
// by default, sort by size
company_stats.sort(function(a, b) { return b.num_eng - a.num_eng; });
// if sort input is changed, sort data and update visuals
d3.select("#sort").on("change", function(d) {
var sort_by = this.value;
if(sort_by == "size"){
company_stats.sort(function(a, b) { return b.num_eng - a.num_eng; });
}
if(sort_by == "perc"){
company_stats.sort(function(a, b) { return b.percent_female_eng - a.percent_female_eng; });
}
if(sort_by == "alph"){
company_stats.sort(function(a, b) {
if(a.company < b.company) return -1;
if(a.company > b.company) return 1;
return 0;
});
}
update(company_stats);
});
// reverse data and update when reverse button is pressed
d3.select("#reverse").on("click", function(d) {
reversed = !reversed;
company_stats.reverse();
update(company_stats);
});
// scale to resize boxes proportionally to the number of employees compared to the largest company
var size_scale = d3.scale.linear()
.domain([0, d3.max(company_stats, function(d) { return +d.num_eng; })])
.range([0, width/2]);
var f_bars = svg.selectAll(".female")
.data(company_stats)
.enter()
.append("rect")
.attr("class", "female");
var m_bars = svg.selectAll(".male")
.data(company_stats)
.enter()
.append("rect")
.attr("class", "male");
var texts = svg
.selectAll(".label")
.data(company_stats)
.enter()
.append("text")
.attr("class", "label");
var m_percs = svg
.selectAll(".mpercent")
.data(company_stats)
.enter()
.append("text")
.attr("class", "mpercent");
var f_percs = svg
.selectAll(".fpercent")
.data(company_stats)
.enter()
.append("text")
.attr("class", "fpercent");
update(company_stats);
function company_info(d){
var div = d3.select("#right").style("display", "block");
div.selectAll("h3").text(d.company);
div.selectAll("#team").text("Team " + d.team);
div.selectAll("#num").text(d.num_eng + " engineers");
div.selectAll("#num_female").text(d.num_female_eng + " female engineers");
div.selectAll("#updated").text("Last updated on: " + d.last_updated);
}
m_bars.on("click", company_info);
f_bars.on("click", company_info);
f_bars.on("mouseover", function(d) {
svg.style('cursor','pointer');
d3.select("#f" + d.key)
.attr("visibility", "visible");
});
f_bars.on("mouseout", function(d) {
svg.style('cursor','default');
d3.select("#f" + d.key)
.attr("visibility", "hidden");
});
m_bars.on("mouseover", function(d) {
svg.style('cursor','pointer');
d3.select("#m" + d.key)
.attr("visibility", "visible");
});
m_bars.on("mouseout", function(d) {
svg.style('cursor','default');
d3.select("#m" + d.key)
.attr("visibility", "hidden");
});
// pie chart?
var r = 50;
var vis = svg.append("svg:g").attr("transform", "translate(" + 20 + "," + 100 + ")");
var arc = d3.svg.arc().outerRadius(r);
var pie = d3.layout.pie() //this will create arc data for us given a list of values
.value(function(d) { return d.value; }); //tell it out to access the value of each element in our data array
// updates visualization with newly sorted data
function update(data) {
var fb = svg.selectAll(".female").data(data);
var mb = svg.selectAll(".male").data(data);
var txt = svg.selectAll(".label").data(data);
var fpct = svg.selectAll(".fpercent").data(data);
var mpct = svg.selectAll(".mpercent").data(data);
txt
.transition()
.attr({
x: (width/2)+10,
y: function(d, i){ return ((i+1)*(tall+padding))+24 + offset; }})
.text(function(d){return d.company;});
fb
.transition()
.duration(1000)
.attr({
x: function(d){ return width/2 - percent_scale(+d.percent_female_eng);},
y: function(d, i){ return (i+1)*(tall+padding) + offset; },
width: function(d){ return percent_scale(+d.percent_female_eng); },
height:tall
});
mb
.transition()
.attr({
x: width/2,
y: function(d, i){ return (i+1)*(tall+padding)+offset; },
width: function(d){ return percent_scale(100-d.percent_female_eng); },
height:tall,
});
fpct
.attr({
x: function(d){ return width/2 - percent_scale(+d.percent_female_eng)-25;},
y: function(d, i){ return ((i+1)*(tall+padding))+24 + offset; },
id: function(d){ return "f"+ d.key; },
visibility: "hidden"})
.text(function(d) { return Math.round(100*d.percent_female_eng)/100 + "%"; })
.style("font-size", "130%");
mpct
.attr({
x: function(d){ return width/2 + percent_scale(100 - d.percent_female_eng) + 10;},
y: function(d, i){ return ((i+1)*(tall+padding))+24 + offset; },
id: function(d){ return "m" + d.key; },
visibility: "hidden"})
.text(function(d) { return Math.round(100*(100-d.percent_female_eng))/100 + "%"; })
.style("font-size", "130%");
}
});
</script>
</body>