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RSNZ 2016 speakers - minutes on stage
Raw
data.csv
date Male Speakers Female Speakers
4/02/16 60 0
9/02/16 120 0
1/03/16 180 0
15/03/16 195 0
15/03/16 195 15
15/03/16 210 15
15/03/16 225 15
15/03/16 285 15
17/03/16 300 15
17/03/16 300 30
17/03/16 315 30
17/03/16 330 30
21/03/16 345 30
21/03/16 345 45
21/03/16 360 45
21/03/16 375 45
22/03/16 390 45
22/03/16 405 45
22/03/16 405 60
22/03/16 420 60
7/05/16 480 60
11/05/16 480 120
12/05/16 480 180
13/05/16 480 240
14/05/16 480 300
15/05/16 480 360
19/05/16 480 420
27/05/16 540 420
5/07/16 570 420
5/07/16 600 420
5/07/16 630 420
5/07/16 660 420
6/07/16 690 420
6/07/16 720 420
7/07/16 750 420
7/07/16 780 420
12/07/16 840 420
13/07/16 900 420
3/08/16 930 420
3/08/16 960 420
4/08/16 990 420
4/08/16 1020 420
5/08/16 1050 420
5/08/16 1080 420
30/08/16 1140 420
31/08/16 1200 420
6/09/16 1230 420
6/09/16 1260 420
7/09/16 1290 420
7/09/16 1320 420
8/09/16 1350 420
8/09/16 1380 420
Raw
index.html
<!DOCTYPE html>
<meta charset="utf-8">
<title>Space to Speak: RSNZ Presenters 2016</title>
<style>
body {
font: 16px sans-serif;
width: 900px;
text-align: justify;
text-justify: inter-word;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.x.axis path {
display: none;
}
.line {
fill: none;
stroke: steelblue;
stroke-width: 2.5px;
}
</style>
<body>
<h1>
Space to Speak: RSNZ Presenters 2016
</h1>
<p>
20 years ago, after fielding a number of complaints from female faculty, MIT commissioned an <a href="http://web.mit.edu/fnl/women/women.pdf
">internal investigation</a> into the status of women academic staff in the science faculty. They found “differences in salary, space, awards, resources and response to outside offers between men and women faculty”.</p>
<p>In the spirit of measuring actual lab space, we measured speaking space, reviewing the estimated minutes allotted to male and female speakers in the various public events and talks organised by <a href="http://www.royalsociety.org.nz/events/">the Royal Society of New Zealand in 2016</a>. We have included speaking events in the future when the date, location and speaker have already been confirmed.
</p>
<p>
A couple of caveats:
<ul>
<li>we recognise that gender is not binary, even though this graph presents it as such. We have assumed presentation and gender identity to be equated, and would prefer to have reported data from the Royal Society that would enable gender and other diversity to be better described.</li>
<li>We have assumed 60 minutes of speaking times for all events. For panel events, we have assumed that the 60 minutes speaking time was equally divided between all the panelists.</li>
</ul>
</p>
<p>
This is intended to be a useful tool for balancing gender and other diversity across a programme of speakers, and to assist with future planning.
</p>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script>
var margin = {top: 20, right: 180, bottom: 30, left: 50},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var parseDate = d3.time.format("%d/%m/%y").parse;
var x = d3.time.scale()
.range([0, width]);
var y = d3.scale.linear()
.range([height, 0]);
var color = d3.scale.category10();
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var line = d3.svg.line()
.interpolate("basis")
.x(function(d) { return x(d.date); })
.y(function(d) { return y(d.minutes); });
var svg = d3.select("body").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
d3.csv("data.csv", function(error, data) {
if (error) throw error;
color.domain(d3.keys(data[0]).filter(function(key) { return key !== "date"; }));
data.forEach(function(d) {
d.date = parseDate(d.date);
});
var cities = color.domain().map(function(name) {
return {
name: name,
values: data.map(function(d) {
return {date: d.date, minutes: +d[name]};
})
};
});
x.domain(d3.extent(data, function(d) { return d.date; }));
y.domain([
d3.min(cities, function(c) { return d3.min(c.values, function(v) { return v.minutes; }); }),
d3.max(cities, function(c) { return d3.max(c.values, function(v) { return v.minutes; }); })
]);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("cumulative minutes of speaking time");
var series = svg.selectAll(".series")
.data(cities)
.enter().append("g")
.attr("class", "series");
series.append("path")
.attr("class", "line")
.attr("d", function(d) { return line(d.values); })
.style("stroke", function(d) { return color(d.name); });
series.append("text")
.datum(function(d) { return {name: d.name, value: d.values[d.values.length - 1]}; })
.attr("transform", function(d) { return "translate(" + x(d.value.date) + "," + y(d.value.minutes) + ")"; })
.attr("x", 3)
.attr("dy", ".35em")
.text(function(d) { return d.name; });
});
</script>
<p>Data, code, and visualization by <a href="http://Twitter.com/droneale">@droneale</a> and <a href="http://Twitter.com/knhannah">@knhannah</a>, based on code by <a href="http://Twitter.com/mbostock">@mbostock</a .</p>
<p>Code and data for this visualisation are available from <a href="https://gist.github.com/droneale/63855b64522a7da729bc0c20dfab61fb">this</a> gist.</p>
Raw
licence.md 
               GNU LESSER GENERAL PUBLIC LICENSE
                   Version 3, 29 June 2007

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Raw
RSNZpresenters2016.tsv
Date Event name Presenter name Gender plenary panel location minutes eventID mins M mins F cum mins M cum minsF
4/02/16 Convicted for Science_ lessons from Aquila Giulio Selvaggi male y n 60 1 60 0 60 0
9/02/16 Navigating Climate Change Max Boykoff male y n 60 2 60 0 120 0
1/03/16 Picturing Science Massimiano Bucchi male y n 60 3 60 0 180 0
15/03/16 Gene Genie - genetics and disease Adam Rutherford male n y 15 4 15 0 195 0
15/03/16 Gene Genie - genetics and disease Vicky Cameron female n y 15 4 0 15 195 15
15/03/16 Gene Genie - genetics and disease Nigel French male n y 15 4 15 0 210 15
15/03/16 Gene Genie - genetics and disease Parry Guilford male n y 15 4 15 0 225 15
15/03/16 is everything you know about genetics wrong? Adam Rutherford male y n 60 5 60 0 285 15
17/03/16 Gene Genie -Conservation Genomics Adam Rutherford male n y 15 6 15 0 300 15
17/03/16 Gene Genie -Conservation Genomics Catherine Collins female n y 15 6 0 15 300 30
17/03/16 Gene Genie -Conservation Genomics Neil Gemmell male n y 15 6 15 0 315 30
17/03/16 Gene Genie -Conservation Genomics Michael Knapp male n y 15 6 15 0 330 30
21/03/16 Gene Genie Family and Genealogy Adam Rutherford male n y 15 7 15 0 345 30
21/03/16 Gene Genie Family and Genealogy Lisa Matisoo-Smith female n y 15 7 0 15 345 45
21/03/16 Gene Genie Family and Genealogy Stephen Robertson male n y 15 7 15 0 360 45
21/03/16 Gene Genie Family and Genealogy Hamish Spencer male n y 15 7 15 0 375 45
22/03/16 Gene Genie Genetics and Health Adam Rutherford male n y 15 8 15 0 390 45
22/03/16 Gene Genie Genetics and Health Don Love male n y 15 8 15 0 405 45
22/03/16 Gene Genie Genetics and Health Rinki Murphy female n y 15 8 0 15 405 60
22/03/16 Gene Genie Genetics and Health Cristin Print male n y 15 8 15 0 420 60
7/05/16 Sea level Rise Jonathan Bamber male y n 60 9 60 0 480 60
11/05/16 The Sacred Disease Ingrid Scheffer female y n 60 10 0 60 480 120
12/05/16 The Sacred Disease Ingrid Scheffer female y n 60 11 0 60 480 180
13/05/16 The Sacred Disease Ingrid Scheffer female y n 60 12 0 60 480 240
14/05/16 The Sacred Disease Ingrid Scheffer female y n 60 13 0 60 480 300
15/05/16 The Sacred Disease Ingrid Scheffer female y n 60 14 0 60 480 360
19/05/16 Managing our climate change Jean Palutikof female y n 60 15 0 60 480 420
27/05/16 Solution Science Jim Skea male y n 60 16 60 0 540 420
5/07/16 10x10 Climate Change James Renwick male n y Hamilton 30 17 30 0 570 420
5/07/16 10x10 Climate Change Tim Naish male n y Hamilton 30 17 30 0 600 420
5/07/16 10x10 Climate Change James Renwick male n y Rotorua 30 18 30 0 630 420
5/07/16 10x10 Climate Change Tim Naish male n y Rotorua 30 18 30 0 660 420
6/07/16 10x10 Climate Change James Renwick male n y Napier 30 19 30 0 690 420
6/07/16 10x10 Climate Change Tim Naish male n y Napier 30 19 30 0 720 420
7/07/16 10x10 Climate Change James Renwick male n y Palmerston North 30 20 30 0 750 420
7/07/16 10x10 Climate Change Tim Naish male n y Palmerston North 30 20 30 0 780 420
12/07/16 Dr Graham's Scientific Funomena Dr Graham male y n 60 21 60 0 840 420
13/07/16 Dr Graham's Scientific Funomena Dr Graham male y n 60 22 60 0 900 420
3/08/16 10x10 Climate Change James Renwick male n y Christchurch 30 23 30 0 930 420
3/08/16 10x10 Climate Change Tim Naish male n y Christchurch 30 23 30 0 960 420
4/08/16 10x10 Climate Change James Renwick male n y Dunedin 30 24 30 0 990 420
4/08/16 10x10 Climate Change Tim Naish male n y Dunedin 30 24 30 0 1020 420
5/08/16 10x10 Climate Change James Renwick male n y Wanaka 30 25 30 0 1050 420
5/08/16 10x10 Climate Change Tim Naish male n y Wanaka 30 25 30 0 1080 420
30/08/16 Water Alok Jha male y n 60 26 60 0 1140 420
31/08/16 Water Alok Jha male y n 60 27 60 0 1200 420
6/09/16 10x10 Climate Change James Renwick male n y Auckland 30 28 30 0 1230 420
6/09/16 10x10 Climate Change Tim Naish male n y Auckland 30 28 30 0 1260 420
7/09/16 10x10 Climate Change James Renwick male n y Wellington 30 29 30 0 1290 420
7/09/16 10x10 Climate Change Tim Naish male n y Wellington 30 29 30 0 1320 420
8/09/16 10x10 Climate Change James Renwick male n y Nelson 30 30 30 0 1350 420
8/09/16 10x10 Climate Change Tim Naish male n y Nelson 30 30 30 0 1380 420
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