Class survey results for the Data Visualization class, Spring 2015 at the University of Wisconsin-Madison.
Last active
August 29, 2015 14:16
-
-
Save yelper/364ffaac2effa6fafd25 to your computer and use it in GitHub Desktop.
Survey results of CS 638/838 Students
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
<!DOCTYPE html> | |
<meta charset="utf-8"> | |
<style> | |
body { | |
background: #eee; | |
} | |
.segment { | |
width: 400px; | |
float: left; | |
padding: 10px; | |
} | |
h2 { | |
font-size: 1.2em; | |
} | |
svg { | |
width: 350px; | |
height: 200px; | |
} | |
#studentMajor { | |
height: 700px; | |
} | |
.axis path, | |
.axis line { | |
fill: none; | |
stroke: black; | |
shape-rendering: crispEdges; | |
} | |
.axis text { | |
font-family: sans-serif; | |
font-size: 11px; | |
} | |
.bars text { | |
fill: white; | |
font: 14px sans-serif; | |
text-anchor: end; | |
} | |
</style> | |
<body> | |
<div class="segment"> | |
<h2>What kind of students are in the class?</h2> | |
<svg id="studentType" version="1.1" baseProfile="full" xmlns="http://www.w3.org/2000/svg"></svg> | |
</div> | |
<div class="segment"> | |
<h2>How long have they been that kind of student?</h2> | |
<svg id="studentYear" version="1.1" baseProfile="full" xmlns="http://www.w3.org/2000/svg"></svg> | |
</div> | |
<div class="segment"> | |
<h2>When do they expect to graduate?</h2> | |
<svg id="studentGraduate" version="1.1" baseProfile="full" xmlns="http://www.w3.org/2000/svg"></svg> | |
</div> | |
<div class="segment"> | |
<h2>What is their area of concentration?</h2> | |
<svg id="studentMajor" version="1.1" baseProfile="full" xmlns="http://www.w3.org/2000/svg"></svg> | |
</div> | |
<div class="segment"> | |
<h2>Have they had an experimental methods class?</h2> | |
<svg id="experimentalMethods" version="1.1" baseProfile="full" xmlns="http://www.w3.org/2000/svg"></svg> | |
</div> | |
<div class="segment"> | |
<h2>What programming experience have they had?</h2> | |
<svg id="progExp" version="1.1" baseProfile="full" xmlns="http://www.w3.org/2000/svg"></svg> | |
</div> | |
<div class="segment"> | |
<h2>What is their interest in data visualization?</h2> | |
<svg id="interestType" version="1.1" baseProfile="full" xmlns="http://www.w3.org/2000/svg"></svg> | |
</div> | |
<script src="http://d3js.org/d3.v3.min.js"></script> | |
<script> | |
studentType = [{name: 'ugrad', data: 23}, {name: 'grad', data: 38}]; | |
studentYear = [{name: 'first', data: 20}, {name: 'second', data: 10}, {name: 'third', data: 9}, {name: 'four+', data: 22}]; | |
studentGraduate = [{name: 'this year', data: 25}, {name: 'later', data: 35}]; | |
studentMajor = [ | |
{name: 'Computer Science', data: 26}, | |
{name: 'Statistics', data: 7}, | |
{name: 'Biomedical Engineering', data: 4}, | |
{name: 'Electrical and Computer Engineering', data: 3}, | |
{name: 'Journalism and Mass Communication', data: 3}, | |
{name: 'Industrial and Systems Engineering', data: 3}, | |
{name: 'GIS/Geography', data: 3}, | |
{name: 'Nuclear Engineering', data: 2}, | |
{name: 'Population Health Sciences', data: 2}, | |
{name: 'English', data: 1}, | |
{name: 'Japanese', data: 1}, | |
{name: 'Life Sciences Communication', data: 1}, | |
{name: 'Mechanical Engineering', data: 1}, | |
{name: 'Operations and Technology Management', data: 1}, | |
{name: 'Psychology', data: 1} | |
]; | |
experimentalMethods = [{name: 'yes', data: 23}, {name: 'no', data: 38}]; | |
progExp = [{name: 'none', data: 1}, {name: 'a little', data: 8}, {name: 'non-trivial', data: 25}, {name: 'proficient', data: 27}]; | |
interestType = [ | |
{name: 'domain scientist', data: 16}, | |
{name: 'data scientist', data: 26}, | |
{name: 'vis scientist', data: 8}, | |
{name: 'observer of vis', data: 10}, | |
{name: 'other', data: 1} | |
]; | |
// i'm not even going to say anything about it. | |
// with thanks to <http://bl.ocks.org/mbostock/7555321> | |
var wrap = function(text, width) { | |
text.each(function() { | |
var text = d3.select(this), | |
words = text.text().split(/\s+/).reverse(), | |
word, | |
line = [], | |
lineNumber = 0, | |
lineHeight = 1.1, // ems | |
y = text.attr("y"), | |
dy = parseFloat(text.attr("dy")), | |
tspan = text.text(null).append("tspan").attr("x", 0).attr("y", y).attr("dy", dy + "em"); | |
while (word = words.pop()) { | |
line.push(word); | |
tspan.text(line.join(" ")); | |
if (tspan.node().getComputedTextLength() > width) { | |
line.pop(); | |
tspan.text(line.join(" ")); | |
line = [word]; | |
tspan = text.append("tspan").attr("x", 0).attr("y", y).attr("dy", ++lineNumber * lineHeight + dy + "em").text(word); | |
} | |
} | |
}); | |
}; | |
// just do it piecemeal. | |
dataSources = ['studentType', 'studentYear', 'studentGraduate', 'studentMajor', 'experimentalMethods', 'progExp', 'interestType']; | |
dataSources.forEach(function(source, i) { | |
var svg = d3.select('#' + source); | |
var curData = eval(source); | |
var height = source == 'studentMajor' ? 700 : 200; | |
svg.style('height', height); | |
var colors = d3.scale.category10(); | |
var x = d3.scale.linear() | |
.domain([0, d3.max(curData.map(function(d) { return d.data;}))]) | |
.range([0, 250]); | |
var y = d3.scale.ordinal() | |
.domain(curData.map(function(d) { return d.name; })) | |
.rangeRoundBands([20, height - 20], 0.1, 0.2); | |
var yAxis = d3.svg.axis() | |
.scale(y) | |
.orient('left'); | |
svg.append('g') | |
.attr('class', 'y axis') | |
.attr('transform', 'translate(90, 0)') | |
.call(yAxis) | |
.selectAll('.tick text') | |
.call(wrap, 80) | |
.attr('transform', function() { | |
// gross hack, I'm not sure what's going on with the wrap code; | |
// dy's don't seem to listen to me | |
var numLines = d3.select(this).node().children.length - 1; | |
return 'translate(-10,' + numLines * -6 + ')'; | |
}); | |
var bars = svg.selectAll('.bars').data(curData, function(d) { return d.name; }) | |
.enter() | |
.append('g') | |
.attr('class', 'bars') | |
.attr('transform', function(d) { | |
return 'translate(100,' + y(d.name) + ')'; | |
}); | |
bars.append('rect') | |
.attr('x', 0) | |
.attr('y', 0) | |
.attr('width', function(d) { return x(d.data); }) | |
.attr('height', y.rangeBand()) | |
.style('fill', function(d,i) { return colors(i); }); | |
bars.append('text') | |
.attr('x', function(d) { | |
var w = x(d.data); | |
if (w < 25) | |
return w + 12; | |
else | |
return w - 4; | |
}) | |
.attr('y', y.rangeBand() / 2) | |
.attr('dy', '.35em') | |
.text(function(d) { return d.data; }) | |
.style('fill', function(d) { | |
if (x(d.data) < 25) return 'black'; | |
}); | |
}); | |
confusionSources = ['languages', 'd3', 'python', 'tableau']; | |
confusionSources.forEach(function(source) { | |
}); | |
</script> | |
</body> | |
</html> |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment