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Created January 30, 2017 20:34
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index.html
<!DOCTYPE html>
<html>
<head>
<title>Titanic Data Visualization</title>
<meta name="author" content="Maria Schreiber" />
<meta name="description" content="Visualization of Titanic Passenger Data" />
<meta charset="utf-8">
<link rel="stylesheet" href="tita_style.css" type="text/css" />
<script src="https://d3js.org/d3.v3.min.js"></script>
<!-- <script src="https://cdnjs.cloudflare.com/ajax/libs/dimple/2.1.6/dimple.latest.js"></script>-->
<script src="http://dimplejs.org/dist/dimple.v2.2.0.min.js"></script>
<script>
current = "m0"; // div with id="m0" is currently diplayed
function show_or_hide ( id )
{
if ( current ) //if something is displayed
{
document.getElementById ( current ).style.display = "none";
if ( current == id ) //if <div> is already diplayed
{
current = 0;
}
else
{
document.getElementById ( id ).style.display = "block";
current = id;
}
}
else //if nothing is displayed
{
document.getElementById ( id ).style.display = "block";
current = id;
}
}
</script>
<script type="text/javascript">
function draw_demograph(data) {
/*D3.js setup code*/
scaler = 0.5
"use strict";
var margin = 40,
width = 800 * scaler,
height = 600 * scaler;
/* Clear SVG and create a new one */
var svg_gender = d3.select("#demo_container")
.append("svg")
.attr("width", width + margin)
.attr("height", height + margin);
/* Gender Breakdown */
var myChart = new dimple.chart(svg_gender, data);
var x = myChart.addCategoryAxis("x", ["gender"]);
var y = myChart.addMeasureAxis('y','#');
/* Axis titles */
x.title = "Gender";
x.addOrderRule(['male', "female"]);
y.title = "Number of Passengers";
y.showGridlines = false;
var mySeries = myChart.addSeries(null, dimple.plot.bar);
mySeries.aggregate = dimple.aggregateMethod.count;
myChart.draw();
svg_gender.append("text").attr("x", myChart._xPixels() + myChart._widthPixels() / 2).attr("y", myChart._yPixels() - 20)
.style("text-anchor", "middle").style("font-family", "sans-serif")
.style("font-weight", "bold").text("Gender Breakdown");
var svg_class = d3.select("#demo_container")
.append("svg")
.attr("width", width + margin)
.attr("height", height + margin);
/* Class Breakdown*/
var myChart = new dimple.chart(svg_class, data);
var x = myChart.addCategoryAxis("x", ["class"]);
var y = myChart.addMeasureAxis('y','#');
x.addOrderRule("class");
x.title = "Ticket Class";
x.addOrderRule(['first', "second", "third"]);
y.title = "Number of Passengers";
y.showGridlines = false;
var mySeries = myChart.addSeries(null, dimple.plot.bar);
mySeries.aggregate = dimple.aggregateMethod.count;
myChart.draw();
svg_class.append("text").attr("x", myChart._xPixels() + myChart._widthPixels() / 2).attr("y", myChart._yPixels() - 20)
.style("text-anchor", "middle").style("font-family", "sans-serif")
.style("font-weight", "bold").text("Class Breakdown");
var svg_port = d3.select("#demo_container")
.append("svg")
.attr("width", width + margin)
.attr("height", height + margin);
/* Port Breakdown */
var myChart = new dimple.chart(svg_port, data);
var x = myChart.addCategoryAxis("x",['embarked']);
var y = myChart.addMeasureAxis('y','#');
x.title = "Port of Embarkment";
y.title = "Number of Passengers";
y.showGridlines = false;
var mySeries = myChart.addSeries(null, dimple.plot.bar);
mySeries.aggregate = dimple.aggregateMethod.count;
myChart.draw();
mySeries.shapes.style("opacity", function (d) {
return (d.yValue === "unknown" ? 0 : 0.8);
});
x.shapes.selectAll("text").attr("transform",
function (tita_data) {
return d3.select(this).attr("transform") + " translate(35, 89)" + "rotate(-90)";
});
svg_port.append("text").attr("x", myChart._xPixels() + myChart._widthPixels() / 2).attr("y", myChart._yPixels() - 20)
.style("text-anchor", "middle").style("font-family", "sans-serif")
.style("font-weight", "bold").text("Port of Embarkment Breakdown");
var svg_age = d3.select("#demo_container")
.append("svg")
.attr("width", width*1.5 + margin*2)
.attr("height", height + margin);
/* Age Breakdown */
var myChart = new dimple.chart(svg_age, data);
var x = myChart.addCategoryAxis("x",['age_bin']);
var y = myChart.addMeasureAxis('y','#');
x.title = "Age";
x.addOrderRule(['< 11', "11 to 20", "21 to 30", "31 to 40", "41 to 50", "51 to 60", "61 to 80", "unknown"]);
y.title = "Number of Passengers";
y.showGridlines = false;
var mySeries = myChart.addSeries(null, dimple.plot.bar);
mySeries.aggregate = dimple.aggregateMethod.count;
myChart.draw();
svg_age.append("text").attr("x", myChart._xPixels() + myChart._widthPixels() / 2).attr("y", myChart._yPixels() - 20)
.style("text-anchor", "middle").style("font-family", "sans-serif")
.style("font-weight", "bold").text("Age Breakdown");
var svg_fam = d3.select("#demo_container")
.append("svg")
.attr("width", width*1.5 + margin*2)
.attr("height", height + margin);
/* Family Breakdown */
var myChart = new dimple.chart(svg_fam, data);
var x = myChart.addCategoryAxis("x",['family']);
var y = myChart.addMeasureAxis('y','#');
x.title = "Family Members Aboard";
x.addOrderRule(['none', 'one', 'two', 'three', 'four', 'five', 'six', 'seven']);
y.title = "Number of Passengers";
y.showGridlines = false;
var mySeries = myChart.addSeries(null, dimple.plot.bar);
mySeries.aggregate = dimple.aggregateMethod.count;
myChart.draw();
svg_fam.append("text").attr("x", myChart._xPixels() + myChart._widthPixels() / 2).attr("y", myChart._yPixels() - 20)
.style("text-anchor", "middle").style("font-family", "sans-serif")
.style("font-weight", "bold").text("Family Breakdown");
};
function draw_survivors(data) {
/*D3.js setup code*/
scaler = 0.5
"use strict";
var margin = 40,
width = 800 * scaler,
height = 600 * scaler;
var svg_gender = d3.select("#surv_container")
.append("svg")
.attr("width", width + margin)
.attr("height", height + margin);
var svg_class = d3.select("#surv_container")
.append("svg")
.attr("width", width + margin)
.attr("height", height + margin);
var svg_port = d3.select("#surv_container")
.append("svg")
.attr("width", width + margin)
.attr("height", height + margin);
var svg_age = d3.select("#surv_container")
.append("svg")
.attr("width", width*1.5 + margin*2)
.attr("height", height + margin);
var svg_fam = d3.select("#surv_container")
.append("svg")
.attr("width", width*1.5 + margin*2)
.attr("height", height + margin);
/* Gender Breakdown */
var myChart = new dimple.chart(svg_gender, data);
var x = myChart.addCategoryAxis("x", ["gender"]);
x.addOrderRule(['male', "female"]);
var y = myChart.addMeasureAxis("y",['#']);
/* Axis titles */
x.title = "Gender";
y.title = "Number of Passengers";
y.showGridlines = false;
var mySeries = myChart.addSeries('survived', dimple.plot.bar);
mySeries.aggregate = dimple.aggregateMethod.count;
mySeries.addOrderRule(['survived', 'perished'])
myChart.addLegend(60, 10, 350, 20, "right");
myChart.draw();
svg_gender.append("text").attr("x", 40).attr("y", myChart._yPixels() - 20)
.style("text-anchor", "left").style("font-family", "sans-serif")
.style("font-weight", "bold").text("Gender/Survivor Breakdown");
/* Class Breakdown*/
var myChart = new dimple.chart(svg_class, data);
var x = myChart.addCategoryAxis("x", ["class"]);
var y = myChart.addMeasureAxis('y','#');
x.addOrderRule("class");
x.title = "Ticket Class";
x.addOrderRule(['first', "second", "third"]);
y.title = "Number of Passengers";
y.showGridlines = false;
var mySeries = myChart.addSeries('survived', dimple.plot.bar);
mySeries.aggregate = dimple.aggregateMethod.count;
mySeries.addOrderRule(['survived', 'perished'])
myChart.addLegend(60, 10, 350, 20, "right");
myChart.draw();
svg_class.append("text").attr("x", 40).attr("y", myChart._yPixels() - 20)
.style("text-anchor", "left").style("font-family", "sans-serif")
.style("font-weight", "bold").text("Class/Survivor Breakdown");
/* Port Breakdown */
var myChart = new dimple.chart(svg_port, data);
var x = myChart.addCategoryAxis("x",['embarked']);
var y = myChart.addMeasureAxis('y','#');
x.title = "Port of Embarkment";
y.title = "Number of Passengers";
y.showGridlines = false;
var mySeries = myChart.addSeries('survived', dimple.plot.bar);
mySeries.aggregate = dimple.aggregateMethod.count;
mySeries.addOrderRule(['survived', 'perished'])
myChart.addLegend(60, 10, 350, 20, "right");
myChart.draw();
x.shapes.selectAll("text").attr("transform",
function (tita_data) {
return d3.select(this).attr("transform") + " translate(35, 89)" + "rotate(-90)";
});
svg_port.append("text").attr("x", 40).attr("y", myChart._yPixels() - 20)
.style("text-anchor", "left").style("font-family", "sans-serif")
.style("font-weight", "bold").text("Port/Survivor Breakdown");
/* Age Breakdown */
var myChart = new dimple.chart(svg_age, data);
var x = myChart.addCategoryAxis("x",['age_bin']);
var y = myChart.addMeasureAxis('y','#');
x.addOrderRule(['< 11', "11 to 20", "21 to 30", "31 to 40", "41 to 50", "51 to 60", "61 to 80", "unknown"]);
x.title = "Age";
y.title = "Number of Passengers";
y.showGridlines = false;
var mySeries = myChart.addSeries('survived', dimple.plot.bar);
mySeries.aggregate = dimple.aggregateMethod.count;
mySeries.addOrderRule(['survived', 'perished'])
myChart.addLegend(60, 10, 570, 20, "right");
myChart.draw();
svg_age.append("text").attr("x", 40).attr("y", myChart._yPixels() - 20)
.style("text-anchor", "left").style("font-family", "sans-serif")
.style("font-weight", "bold").text("Age/Survivor Breakdown");
/* Family Breakdown */
var myChart = new dimple.chart(svg_fam, data);
var x = myChart.addCategoryAxis("x",['family']);
var y = myChart.addMeasureAxis('y','#');
x.title = "Family Members Aboard";
x.addOrderRule(['none', 'one', 'two', 'three', 'four', 'five', 'six', 'seven']);
y.title = "Number of Passengers";
y.showGridlines = false;
var mySeries = myChart.addSeries('survived', dimple.plot.bar);
mySeries.aggregate = dimple.aggregateMethod.count;
mySeries.addOrderRule(['survived', 'perished'])
myChart.addLegend(60, 10, 570, 20, "right");
myChart.draw();
svg_fam.append("text").attr("x", 40).attr("y", myChart._yPixels() - 20)
.style("text-anchor", "left").style("font-family", "sans-serif")
.style("font-weight", "bold").text("Family/Survivor Breakdown");
};
function draw_survivors_pct(data) {
/*
D3.js setup code
*/
scaler = 0.5
"use strict";
var margin = 40,
width = 800 * scaler,
height = 600 * scaler;
var svg_gender = d3.select("#prc_container")
.append("svg")
.attr("width", width + margin)
.attr("height", height + margin);
var svg_class = d3.select("#prc_container")
.append("svg")
.attr("width", width + margin)
.attr("height", height + margin);
var svg_port = d3.select("#prc_container")
.append("svg")
.attr("width", width + margin)
.attr("height", height + margin);
var svg_age = d3.select("#prc_container")
.append("svg")
.attr("width", width*1.5 + margin*2)
.attr("height", height + margin);
var svg_fam = d3.select("#prc_container")
.append("svg")
.attr("width", width*1.5 + margin*2)
.attr("height", height + margin);
/* Gender Breakdown */
var myChart = new dimple.chart(svg_gender, data);
myChart.setBounds(60, 40, 350, 250)
var x = myChart.addCategoryAxis("x", ["gender"]);
x.addOrderRule(['male', "female"]);
var y = myChart.addPctAxis("y",['#']);
/* Axis titles */
x.title = "Gender";
y.title = "Percent of Passengers";
y.showGridlines = false;
var mySeries = myChart.addSeries('survived', dimple.plot.bar);
mySeries.aggregate = dimple.aggregateMethod.count;
mySeries.addOrderRule(['survived', 'perished'])
myChart.addLegend(60, 10, 350, 20, "right");
myChart.draw();
svg_gender.append("text").attr("x", 60).attr("y", myChart._yPixels() - 20)
.style("text-anchor", "left").style("font-family", "sans-serif")
.style("font-weight", "bold").text("Gender Survivor %");
mySeries.afterDraw = function (shape, data) {
// Get the shape as a d3 selection
var s = d3.select(shape),
rect = {
x: parseFloat(s.attr("x")),
y: parseFloat(s.attr("y")),
width: parseFloat(s.attr("width")),
height: parseFloat(s.attr("height"))
};
// Only label bars where the text can fit
if (rect.height >= 8) {
// Add a text label for the value
svg_gender.append("text")
// Position in the centre of the shape (vertical position is
// manually set due to cross-browser problems with baseline)
.attr("x", rect.x + rect.width / 2)
.attr("y", rect.y + rect.height / 2 + 3.5)
// Centre align
.style("text-anchor", "middle")
.style("font-size", "10px")
.style("font-family", "sans-serif")
// Make it a little transparent to tone down the black
.style("opacity", 0.6)
// Format the number
.text(data.yValue + " passengers");
}
};
myChart.addLegend(60, 10, 350, 20, "right");
myChart.draw();
/* Class Breakdown*/
var myChart = new dimple.chart(svg_class, data);
myChart.setBounds(60, 40, 350, 250)
var x = myChart.addCategoryAxis("x", ["class"]);
var y = myChart.addPctAxis('y','#');
x.addOrderRule("class");
x.title = "Ticket Class";
x.addOrderRule(['first', "second", "third"]);
y.title = "Percent of Passengers";
y.showGridlines = false;
var mySeries = myChart.addSeries('survived', dimple.plot.bar);
mySeries.aggregate = dimple.aggregateMethod.count;
mySeries.addOrderRule(['survived', 'perished'])
myChart.addLegend(60, 10, 350, 20, "right");
myChart.draw();
svg_class.append("text").attr("x",60).attr("y", myChart._yPixels() - 20)
.style("text-anchor", "left").style("font-family", "sans-serif")
.style("font-weight", "bold").text("Class Survivor %");
mySeries.afterDraw = function (shape, data) {
// Get the shape as a d3 selection
var s = d3.select(shape),
rect = {
x: parseFloat(s.attr("x")),
y: parseFloat(s.attr("y")),
width: parseFloat(s.attr("width")),
height: parseFloat(s.attr("height"))
};
// Only label bars where the text can fit
if (rect.height >= 8) {
// Add a text label for the value
svg_class.append("text")
// Position in the centre of the shape (vertical position is
// manually set due to cross-browser problems with baseline)
.attr("x", rect.x + rect.width / 2)
.attr("y", rect.y + rect.height / 2 + 3.5)
// Centre align
.style("text-anchor", "middle")
.style("font-size", "10px")
.style("font-family", "sans-serif")
// Make it a little transparent to tone down the black
.style("opacity", 0.6)
// Format the number
.text(data.yValue + " passengers");
}
};
myChart.addLegend(60, 10, 350, 20, "right");
myChart.draw();
/* Port Breakdown */
var myChart = new dimple.chart(svg_port, data);
myChart.setBounds(60, 40, 350, 250)
var x = myChart.addCategoryAxis("x",['embarked']);
var y = myChart.addPctAxis('y','#');
x.title = "Port of Embarkment";
y.title = "Percent of Passengers";
y.showGridlines = false;
var mySeries = myChart.addSeries('survived', dimple.plot.bar);
mySeries.aggregate = dimple.aggregateMethod.count;
mySeries.addOrderRule(['survived', 'perished'])
myChart.addLegend(60, 10, 350, 20, "right");
myChart.draw();
x.shapes.selectAll("text").attr("transform",
function (tita_data) {
return d3.select(this).attr("transform") + " translate(35, 89)" + "rotate(-90)";
});
svg_port.append("text").attr("x",60).attr("y", myChart._yPixels() - 20)
.style("text-anchor", "left").style("font-family", "sans-serif")
.style("font-weight", "bold").text("Port Survivor %");
mySeries.afterDraw = function (shape, data) {
// Get the shape as a d3 selection
var s = d3.select(shape),
rect = {
x: parseFloat(s.attr("x")),
y: parseFloat(s.attr("y")),
width: parseFloat(s.attr("width")),
height: parseFloat(s.attr("height"))
};
// Only label bars where the text can fit
if (rect.height >= 8) {
// Add a text label for the value
svg_port.append("text")
// Position in the centre of the shape (vertical position is
// manually set due to cross-browser problems with baseline)
.attr("x", rect.x + rect.width / 2)
.attr("y", rect.y + rect.height / 2 + 3.5)
// Centre align
.style("text-anchor", "middle")
.style("font-size", "10px")
.style("font-family", "sans-serif")
// Make it a little transparent to tone down the black
.style("opacity", 0.6)
// Format the number
.text(data.yValue + " passengers");
}
};
myChart.addLegend(60, 10, 350, 20, "right");
myChart.draw();
/* Age Breakdown */
var myChart = new dimple.chart(svg_age, data);
var x = myChart.addCategoryAxis("x",['age_bin']);
var y = myChart.addPctAxis('y','#');
x.addOrderRule(['< 11', "11 to 20", "21 to 30", "31 to 40", "41 to 50", "51 to 60", "61 to 80", "unknown"]);
x.title = "Age";
y.title = "Percent of Passengers";
y.showGridlines = false;
var mySeries = myChart.addSeries('survived', dimple.plot.bar);
mySeries.aggregate = dimple.aggregateMethod.count;
mySeries.addOrderRule(['survived', 'perished'])
myChart.addLegend(60, 10, 570, 20, "right");
myChart.draw();
svg_age.append("text").attr("x", 60).attr("y", myChart._yPixels() - 20)
.style("text-anchor", "left").style("font-family", "sans-serif")
.style("font-weight", "bold").text("Age Survivor %");
mySeries.afterDraw = function (shape, data) {
// Get the shape as a d3 selection
var s = d3.select(shape),
rect = {
x: parseFloat(s.attr("x")),
y: parseFloat(s.attr("y")),
width: parseFloat(s.attr("width")),
height: parseFloat(s.attr("height"))
};
// Only label bars where the text can fit
if (rect.height >= 8) {
// Add a text label for the value
svg_age.append("text")
// Position in the centre of the shape (vertical position is
// manually set due to cross-browser problems with baseline)
.attr("x", rect.x + rect.width / 2)
.attr("y", rect.y + rect.height / 2 + 3.5)
// Centre align
.style("text-anchor", "middle")
.style("font-size", "10px")
.style("font-family", "sans-serif")
// Make it a little transparent to tone down the black
.style("opacity", 0.6)
// Format the number
.text(data.yValue );
}
};
myChart.addLegend(60, 10, 570, 20, "right");
myChart.draw();
/* Family Breakdown */
var myChart = new dimple.chart(svg_fam, data);
var x = myChart.addCategoryAxis("x",['family']);
var y = myChart.addPctAxis('y','#');
x.title = "Family Members Aboard";
x.addOrderRule(['none', 'one', 'two', 'three', 'four', 'five', 'six', 'seven']);
y.title = "Percent of Passengers";
y.showGridlines = false;
var mySeries = myChart.addSeries('survived', dimple.plot.bar);
mySeries.aggregate = dimple.aggregateMethod.count;
mySeries.addOrderRule(['first', 'second', 'third'])
myChart.addLegend(60, 10, 570, 20, "right");
myChart.draw();
svg_fam.append("text").attr("x", 60).attr("y", myChart._yPixels() - 20)
.style("text-anchor", "left").style("font-family", "sans-serif")
.style("font-weight", "bold").text("Family Survivor %");
mySeries.afterDraw = function (shape, data) {
// Get the shape as a d3 selection
var s = d3.select(shape),
rect = {
x: parseFloat(s.attr("x")),
y: parseFloat(s.attr("y")),
width: parseFloat(s.attr("width")),
height: parseFloat(s.attr("height"))
};
// Only label bars where the text can fit
if (rect.height >= 8) {
// Add a text label for the value
svg_fam.append("text")
// Position in the centre of the shape (vertical position is
// manually set due to cross-browser problems with baseline)
.attr("x", rect.x + rect.width / 2)
.attr("y", rect.y + rect.height / 2 + 3.5)
// Centre align
.style("text-anchor", "middle")
.style("font-size", "10px")
.style("font-family", "sans-serif")
// Make it a little transparent to tone down the black
.style("opacity", 0.6)
// Format the number
.text(data.yValue );
}
};
myChart.addLegend(60, 10, 570, 20, "right");
myChart.draw();
};
function draw_fam_class(data) {
var svg_fam = dimple.newSvg("#fam_class", 650, 400);
/* Family Breakdown */
var myChart = new dimple.chart(svg_fam, data);
var x = myChart.addCategoryAxis("x",['family']);
var y = myChart.addPctAxis('y','#');
x.title = "Family Members Aboard";
x.addOrderRule(['none', 'one', 'two', 'three', 'four', 'five', 'six', 'seven']);
y.title = "Percent of Passengers";
y.showGridlines = false;
var mySeries = myChart.addSeries('class', dimple.plot.bar);
mySeries.aggregate = dimple.aggregateMethod.count;
mySeries.addOrderRule(['survived', 'perished'])
myChart.addLegend(60, 10, 570, 20, "right");
myChart.draw();
svg_fam.append("text").attr("x", 60).attr("y", myChart._yPixels() - 20)
.style("text-anchor", "left").style("font-family", "sans-serif")
.style("font-weight", "bold").text("Family Breakdown By Class");
};
function draw_sh_gender(data) {
/*
D3.js setup code
*/
scaler = 0.5
"use strict";
var margin = 40,
width = 800 * scaler,
height = 600 * scaler;
d3.select("#sh_container_gen").append('h3').text("Gender breakdown by Port");
var svg_gender = dimple.newSvg("#sh_container_gen", 590, 400);
/* Gender Breakdown */
var myChart = new dimple.chart(svg_gender, data);
myChart.setBounds(60, 30, 350, 330)
var x = myChart.addCategoryAxis("x", ["gender"]);
x.addOrderRule(['male', "female"]);
var y = myChart.addPctAxis("y",['#']);
/* Axis titles */
x.title = "Gender";
y.title = "Percent of Passengers";
y.showGridlines = false;
var mySeries = myChart.addSeries('embarked', dimple.plot.bar);
mySeries.aggregate = dimple.aggregateMethod.count;
mySeries.addOrderRule(['Southampton, UK', 'Cherbourg, FR', 'Queenstown, IR', 'unknown'])
myChart.addLegend(550, 100, 20, 350, "Left");
myChart.draw();
mySeries.afterDraw = function (shape, data) {
// Get the shape as a d3 selection
var s = d3.select(shape),
rect = {
x: parseFloat(s.attr("x")),
y: parseFloat(s.attr("y")),
width: parseFloat(s.attr("width")),
height: parseFloat(s.attr("height"))
};
// Only label bars where the text can fit
if (rect.height >= 8) {
// Add a text label for the value
svg_gender.append("text")
// Position in the centre of the shape (vertical position is
// manually set due to cross-browser problems with baseline)
.attr("x", rect.x + rect.width / 2)
.attr("y", rect.y + rect.height / 2 + 3.5)
// Centre align
.style("text-anchor", "middle")
.style("font-size", "10px")
.style("font-family", "sans-serif")
// Make it a little transparent to tone down the black
.style("opacity", 0.6)
// Format the number
.text(data.yValue + " passengers");
}
};
myChart.addLegend(550, 100, 20, 350, "Left");
myChart.draw();
};
function draw_sh_class(data) {
/*
D3.js setup code
*/
scaler = 0.5
"use strict";
var margin = 40,
width = 800 * scaler,
height = 600 * scaler;
d3.select("#sh_container_class").append('h3').text("Class breakdown by Port");
var svg_class = dimple.newSvg("#sh_container_class", 590, 400);
/* Class Breakdown*/
var myChart = new dimple.chart(svg_class, data);
myChart.setBounds(60, 30, 350, 330)
var x = myChart.addCategoryAxis("x", ["class"]);
var y = myChart.addPctAxis('y','#');
x.addOrderRule("class");
x.title = "Ticket Class";
x.addOrderRule(['first', "second", "third"]);
y.title = "Percent of Passengers";
y.showGridlines = false;
var mySeries = myChart.addSeries('embarked', dimple.plot.bar);
mySeries.aggregate = dimple.aggregateMethod.count;
mySeries.addOrderRule(['Southampton, UK', 'Cherbourg, FR', 'Queenstown, IR', 'unknown'])
myChart.addLegend(550, 100, 20, 350, "Left");
myChart.draw();
mySeries.afterDraw = function (shape, data) {
// Get the shape as a d3 selection
var s = d3.select(shape),
rect = {
x: parseFloat(s.attr("x")),
y: parseFloat(s.attr("y")),
width: parseFloat(s.attr("width")),
height: parseFloat(s.attr("height"))
};
// Only label bars where the text can fit
if (rect.height >= 8) {
// Add a text label for the value
svg_class.append("text")
// Position in the centre of the shape (vertical position is
// manually set due to cross-browser problems with baseline)
.attr("x", rect.x + rect.width / 2)
.attr("y", rect.y + rect.height / 2 + 3.5)
// Centre align
.style("text-anchor", "middle")
.style("font-size", "10px")
.style("font-family", "sans-serif")
// Make it a little transparent to tone down the black
.style("opacity", 0.6)
// Format the number
.text(data.yValue + " passengers");
}
};
myChart.addLegend(550, 100, 20, 350, "Left");
myChart.draw();
};
</script>
</head>
<body>
<header>
<div class = "title">
<h1 style="padding-left: 10px">Visualizing data with dimple.js</h1>
</div>
</header>
<ul>
<li onclick="show_or_hide('m0')"><span>Introduction</span></li>
<li onclick="show_or_hide('m1')"><span>Survivorship</span></li>
<li onclick="show_or_hide('m2')"><span>Survivor Percentages</span></li>
<li onclick="show_or_hide('m3')"><span>Conclusion</span></li>
</ul>
<div id="m0">
<div id = "intro_text" class = "description">
<h2>Introduction</h2>
<p> On April 15th, 1912, the RMS Titanic set sail on her maiden voyage. She was the largest ship sailing the oceans and the last word in luxury and comfort while sailing across the Atlantic. Passengers described being aboard more like being in a hotel than being on a boat. Most passengers were there for the resort experience, though others, especially those in the third class, were emigrating from Europe to America. Below you will find a demographic breakdown of the types of passengers abroad. This includes gender, ticket class, age, port of embarkment, and number of family members aboard. Though data of only 891 of the 1317 passengers aboard are included, it is a representative sample. </p>
</div>
<div id="demo_container" class = "svg_Container">
<script type="text/javascript">
d3.csv("tita_data.csv", draw_demograph);
</script>
</div>
<div class = "description">
<p> As the graphs show there were more male passengers than female passengers, more third class passengers than either first or second class, and more passengers embarking from Southampton (the first stop). Note that there were two passengers whose port of embarkment were unknown, they'll be coming up again. Ages are normally distributed with the higest number of passengers being between 21 - 30, though there was a large portion of passengers whose ages were unknown. Most passengers were travelling alone, and there were fewer passengers who had multiple family members. Impossibly, 7 passengers have ten family members aboard.</p>
</div>
</div>
<div id="m1">
<div id = "surv_text" class = "description">
<h2>Survivorship</h2>
<p> Of the 2224 passengers and crew aboard over 1500 died. This percentage is reflected in the sample of passengers in this dataset. However, some were more likely than others to survive. Who do you think was more likely to survive? A man or a woman? A first class or third class passenger? A child or an adult? Look at the survivorship breakdown below.</p>
</div>
<div id="surv_container" class = "svg_Container">
<script type="text/javascript">
d3.csv("tita_data.csv", draw_survivors);
</script>
</div>
<div class = "description">
<p> The graphics above are a nice visual transition from the first set of bar charts since the heights of each are comparable. And while we can clearly see that more women survived than men, and that the percentage survivorship became lower and lower from first to second to third class, some comparisons, such as those within age categories are not as easy to make. For that reason, it is useful to change the scale of the y-axes into percentages. </p>
</div>
</div>
<div id="m2">
<div id = "prc_text" class = "description">
<h2>Survivor Percentages</h2>
<p> While these more relative measures make it very clear what the survivorship rates were in certain categories, it is important to remember that not all categories had the same number of people in them. Some categories, such as people with no family members aboard, have far greater numbers than other categories, such as some people who have ten family members aboard. In these percentage bar graphs, the categories with few people are visually inflated to be of the same size as other categories. Note, for example, that it might seem quite strange that 100% of people whose port of embarkment was unknown survived. This might seem like a major discovery -- perhaps those passengers who snuck on board had some illuminati connections that allowed for ALL of them to survive??? But remembering that there are only 2 people in this category points out this is not so unusual. Winning 2 out of 2 is a lot easier than winning 100 out of 100, if you catch my drift. For that reason, it's nice to have both the absolute bar graphs of number of survivors and bar graphs of percentages with absolute numbers labeled.</p>
</div>
<div id="prc_container" class = "svg_Container">
<script type="text/javascript">
d3.csv("tita_data.csv", draw_survivors_pct);
</script>
</div>
</div>
<div id="m3">
<div id = "prc_text" class = "description">
<h2>Conclusion</h2>
<p>
These graphs have illustrated some inequalities in the demographics and survivorship of the passengers aboard the Titanic. Although there were far more males aboard, women were more likely to survive. Though there were fewer young children aboard, the group of passengers with ages less than eleven had the only survival rate that was notably different (and higher) than of the other age groups. This is supported by the historic evidence that the captain ordered lifeboatsto be filled with women and children first. According to a dailymail.uk article, "Although this legendary edict was never part of maritime law, it was adhered to so strictly on the Titanic that men were actually stopped from boarding lifeboats, many of which went to sea only three-quarters full."
</p>
<p>
Another strong trend was that first class passengers were more likely to survive than third class passengers. Those with one, two, or three family members aboard were more likely to survive than other groups, but this is probably due to the fact that the majority of passengers with more than 3 family members were not first class.</p>
<div id="fam_class" class = "svg_Container">
<script type="text/javascript">
d3.csv("tita_data.csv", draw_fam_class);
</script>
</div>
<p>Sex, age, and/or class had correlations with port of embarkment and family members aboard, possibly causing some of the trends we see. (Having more family members aboard was correlated with being a third class passenger.) The first three features are the strongest indicators of survivorship. In addition to this, those embarking from Southampton were far less likely to survive. This is in part due to the fact that most passangers (72%) were from Southampton. Also, it had to do with the demographics of Southampton. Below we can see that a disproportionally large number of males (76%) and disproportionally small number of first class tickets (59%) were from Southampton.
</p>
<div id="sh_container" class = "svg_Container" style="width: 100%">
<div id="sh_container_gen" class = "svg_Container" style="float: left; width: 50%; padding-left: 25px;">
<script type="text/javascript">
d3.csv("tita_data.csv", draw_sh_gender);
</script>
</div>
<div id="sh_container_class" class = "svg_Container" style="float: right; width: 50%; padding-right: 25px;">
<script type="text/javascript">
d3.csv("tita_data.csv", draw_sh_class);
</script>
</div>
<br style="clear: left;" />
</div>
<p>
In short, if you were a female, below the age of 11, and/or a first class passenger, you were much more likely to survive. Still the number of casualities was larger than the number of survivors. There were not nearly enough lifeboats to save all of the people aboard, though the ship was not even close to filled to capacity. This disastrous event set in motion a new set of naval safety protocols that are still in use today.
</p>
</div>
</body>
<footer>
<div class = "closer">
<h2 style="padding-right: 10px">Udacity Data Analyst Nanodegree P6</h2>
</div>
</footer>
</html>
Raw
tita_data.csv
# survived class gender age sib_sp par_ch fare embarked family age_bin
732 perished third male 11 0 0 18.7875 Cherbourg, FR none < 11
853 perished third female 9 1 1 15.2458 Cherbourg, FR two < 11
804 survived third male 0.42 0 1 8.5167 Cherbourg, FR one < 11
692 survived third female 4 0 1 13.4167 Cherbourg, FR one < 11
828 survived second male 1 0 2 37.0042 Cherbourg, FR two < 11
382 survived third female 1 0 2 15.7417 Cherbourg, FR two < 11
44 survived second female 3 1 2 41.5792 Cherbourg, FR three < 11
470 survived third female 0.75 2 1 19.2583 Cherbourg, FR three < 11
645 survived third female 0.75 2 1 19.2583 Cherbourg, FR three < 11
449 survived third female 5 2 1 19.2583 Cherbourg, FR three < 11
115 perished third female 17 0 0 14.4583 Cherbourg, FR none 11 to 20
379 perished third male 20 0 0 4.0125 Cherbourg, FR none 11 to 20
506 perished first male 18 1 0 108.9 Cherbourg, FR one 11 to 20
112 perished third female 14.5 1 0 14.4542 Cherbourg, FR one 11 to 20
703 perished third female 18 0 1 14.4542 Cherbourg, FR one 11 to 20
353 perished third male 15 1 1 7.2292 Cherbourg, FR two 11 to 20
533 perished third male 17 1 1 7.2292 Cherbourg, FR two 11 to 20
390 survived second female 17 0 0 12 Cherbourg, FR none 11 to 20
781 survived third female 13 0 0 7.2292 Cherbourg, FR none 11 to 20
876 survived third female 15 0 0 7.225 Cherbourg, FR none 11 to 20
763 survived third male 20 0 0 7.2292 Cherbourg, FR none 11 to 20
330 survived first female 16 0 1 57.9792 Cherbourg, FR one 11 to 20
308 survived first female 17 1 0 108.9 Cherbourg, FR one 11 to 20
701 survived first female 18 1 0 227.525 Cherbourg, FR one 11 to 20
292 survived first female 19 1 0 91.0792 Cherbourg, FR one 11 to 20
10 survived second female 14 1 0 30.0708 Cherbourg, FR one 11 to 20
126 survived third male 12 1 0 11.2417 Cherbourg, FR one 11 to 20
40 survived third female 14 1 0 11.2417 Cherbourg, FR one 11 to 20
831 survived third female 15 1 0 14.4542 Cherbourg, FR one 11 to 20
551 survived first male 17 0 2 110.8833 Cherbourg, FR two 11 to 20
623 survived third male 20 1 1 15.7417 Cherbourg, FR two 11 to 20
312 survived first female 18 2 2 262.375 Cherbourg, FR four 11 to 20
743 survived first female 21 2 2 262.375 Cherbourg, FR four 11 to 20
374 perished first male 22 0 0 135.6333 Cherbourg, FR none 21 to 30
140 perished first male 24 0 0 79.2 Cherbourg, FR none 21 to 30
453 perished first male 30 0 0 27.75 Cherbourg, FR none 21 to 30
136 perished second male 23 0 0 15.0458 Cherbourg, FR none 21 to 30
61 perished third male 22 0 0 7.2292 Cherbourg, FR none 21 to 30
297 perished third male 23.5 0 0 7.2292 Cherbourg, FR none 21 to 30
694 perished third male 25 0 0 7.225 Cherbourg, FR none 21 to 30
58 perished third male 28.5 0 0 7.2292 Cherbourg, FR none 21 to 30
245 perished third male 30 0 0 7.225 Cherbourg, FR none 21 to 30
799 perished third male 30 0 0 7.2292 Cherbourg, FR none 21 to 30
119 perished first male 24 0 1 247.5208 Cherbourg, FR one 21 to 30
35 perished first male 28 1 0 82.1708 Cherbourg, FR one 21 to 30
362 perished second male 29 1 0 27.7208 Cherbourg, FR one 21 to 30
309 perished second male 30 1 0 24 Cherbourg, FR one 21 to 30
74 perished third male 26 1 0 14.4542 Cherbourg, FR one 21 to 30
621 perished third male 27 1 0 14.4542 Cherbourg, FR one 21 to 30
378 perished first male 27 0 2 211.5 Cherbourg, FR two 21 to 30
818 perished second male 31 1 1 37.0042 Cherbourg, FR two 21 to 30
686 perished second male 25 1 2 41.5792 Cherbourg, FR three 21 to 30
311 survived first female 24 0 0 83.1583 Cherbourg, FR none 21 to 30
370 survived first female 24 0 0 69.3 Cherbourg, FR none 21 to 30
642 survived first female 24 0 0 69.3 Cherbourg, FR none 21 to 30
711 survived first female 24 0 0 49.5042 Cherbourg, FR none 21 to 30
890 survived first male 26 0 0 30 Cherbourg, FR none 21 to 30
682 survived first male 27 0 0 76.7292 Cherbourg, FR none 21 to 30
310 survived first female 30 0 0 56.9292 Cherbourg, FR none 21 to 30
538 survived first female 30 0 0 106.425 Cherbourg, FR none 21 to 30
843 survived first female 30 0 0 31 Cherbourg, FR none 21 to 30
474 survived second female 23 0 0 13.7917 Cherbourg, FR none 21 to 30
554 survived third male 22 0 0 7.225 Cherbourg, FR none 21 to 30
208 survived third male 26 0 0 18.7875 Cherbourg, FR none 21 to 30
456 survived third male 29 0 0 7.8958 Cherbourg, FR none 21 to 30
98 survived first male 23 0 1 63.3583 Cherbourg, FR one 21 to 30
394 survived first female 23 1 0 113.275 Cherbourg, FR one 21 to 30
371 survived first male 25 1 0 55.4417 Cherbourg, FR one 21 to 30
485 survived first male 25 1 0 91.0792 Cherbourg, FR one 21 to 30
216 survived first female 31 1 0 113.275 Cherbourg, FR one 21 to 30
867 survived second female 27 1 0 13.8583 Cherbourg, FR one 21 to 30
875 survived second female 28 1 0 24 Cherbourg, FR one 21 to 30
540 survived first female 22 0 2 49.5 Cherbourg, FR two 21 to 30
256 survived third female 29 0 2 15.2458 Cherbourg, FR two 21 to 30
609 survived second female 22 1 2 41.5792 Cherbourg, FR three 21 to 30
859 survived third female 24 0 3 19.2583 Cherbourg, FR three 21 to 30
584 perished first male 36 0 0 40.125 Cherbourg, FR none 31 to 40
31 perished first male 40 0 0 27.7208 Cherbourg, FR none 31 to 40
293 perished second male 36 0 0 12.875 Cherbourg, FR none 31 to 40
131 perished third male 33 0 0 7.8958 Cherbourg, FR none 31 to 40
286 perished third male 33 0 0 8.6625 Cherbourg, FR none 31 to 40
844 perished third male 34.5 0 0 6.4375 Cherbourg, FR none 31 to 40
848 perished third male 35 0 0 7.8958 Cherbourg, FR none 31 to 40
662 perished third male 40 0 0 7.225 Cherbourg, FR none 31 to 40
274 perished first male 37 0 1 29.7 Cherbourg, FR one 31 to 40
123 perished second male 32.5 1 0 30.0708 Cherbourg, FR one 31 to 40
219 survived first female 32 0 0 76.2917 Cherbourg, FR none 31 to 40
633 survived first male 32 0 0 30.5 Cherbourg, FR none 31 to 40
259 survived first female 35 0 0 512.3292 Cherbourg, FR none 31 to 40
605 survived first male 35 0 0 26.55 Cherbourg, FR none 31 to 40
738 survived first male 35 0 0 512.3292 Cherbourg, FR none 31 to 40
326 survived first female 36 0 0 135.6333 Cherbourg, FR none 31 to 40
717 survived first female 38 0 0 227.525 Cherbourg, FR none 31 to 40
210 survived first male 40 0 0 31 Cherbourg, FR none 31 to 40
338 survived first female 41 0 0 134.5 Cherbourg, FR none 31 to 40
680 survived first male 36 0 1 512.3292 Cherbourg, FR one 31 to 40
2 survived first female 38 1 0 71.2833 Cherbourg, FR one 31 to 40
582 survived first female 39 1 1 110.8833 Cherbourg, FR two 31 to 40
836 survived first female 39 1 1 83.1583 Cherbourg, FR two 31 to 40
320 survived first female 40 1 1 134.5 Cherbourg, FR two 31 to 40
790 perished first male 46 0 0 79.2 Cherbourg, FR none 41 to 50
178 perished first female 50 0 0 28.7125 Cherbourg, FR none 41 to 50
204 perished third male 45.5 0 0 7.225 Cherbourg, FR none 41 to 50
545 perished first male 50 1 0 106.425 Cherbourg, FR one 41 to 50
156 perished first male 51 0 1 61.3792 Cherbourg, FR one 41 to 50
363 perished third female 45 0 1 14.4542 Cherbourg, FR one 41 to 50
699 perished first male 49 1 1 110.8833 Cherbourg, FR two 41 to 50
381 survived first female 42 0 0 227.525 Cherbourg, FR none 41 to 50
195 survived first female 44 0 0 27.7208 Cherbourg, FR none 41 to 50
524 survived first female 44 0 1 57.9792 Cherbourg, FR one 41 to 50
557 survived first female 48 1 0 39.6 Cherbourg, FR one 41 to 50
646 survived first male 48 1 0 76.7292 Cherbourg, FR one 41 to 50
53 survived first female 49 1 0 76.7292 Cherbourg, FR one 41 to 50
454 survived first male 49 1 0 89.1042 Cherbourg, FR one 41 to 50
600 survived first male 49 1 0 56.9292 Cherbourg, FR one 41 to 50
300 survived first female 50 0 1 247.5208 Cherbourg, FR one 41 to 50
175 perished first male 56 0 0 30.6958 Cherbourg, FR none 51 to 60
488 perished first male 58 0 0 29.7 Cherbourg, FR none 51 to 60
660 perished first male 58 0 2 113.275 Cherbourg, FR two 51 to 60
648 survived first male 56 0 0 35.5 Cherbourg, FR none 51 to 60
196 survived first female 58 0 0 146.5208 Cherbourg, FR none 51 to 60
592 survived first female 52 1 0 78.2667 Cherbourg, FR one 51 to 60
497 survived first female 54 1 0 78.2667 Cherbourg, FR one 51 to 60
514 survived first female 54 1 0 59.4 Cherbourg, FR one 51 to 60
880 survived first female 56 0 1 83.1583 Cherbourg, FR one 51 to 60
367 survived first female 60 1 0 75.25 Cherbourg, FR one 51 to 60
588 survived first male 60 1 1 79.2 Cherbourg, FR two 51 to 60
97 perished first male 71 0 0 34.6542 Cherbourg, FR none 61 to 80
494 perished first male 71 0 0 49.5042 Cherbourg, FR none 61 to 80
55 perished first male 65 0 1 61.9792 Cherbourg, FR one 61 to 80
65 perished first male unknown 0 0 27.7208 Cherbourg, FR none unknown
296 perished first male unknown 0 0 27.7208 Cherbourg, FR none unknown
558 perished first male unknown 0 0 227.525 Cherbourg, FR none unknown
767 perished first male unknown 0 0 39.6 Cherbourg, FR none unknown
794 perished first male unknown 0 0 30.6958 Cherbourg, FR none unknown
182 perished second male unknown 0 0 15.05 Cherbourg, FR none unknown
27 perished third male unknown 0 0 7.225 Cherbourg, FR none unknown
43 perished third male unknown 0 0 7.8958 Cherbourg, FR none unknown
355 perished third male unknown 0 0 7.225 Cherbourg, FR none unknown
421 perished third male unknown 0 0 7.8958 Cherbourg, FR none unknown
496 perished third male unknown 0 0 14.4583 Cherbourg, FR none unknown
523 perished third male unknown 0 0 7.225 Cherbourg, FR none unknown
525 perished third male unknown 0 0 7.2292 Cherbourg, FR none unknown
532 perished third male unknown 0 0 7.2292 Cherbourg, FR none unknown
569 perished third male unknown 0 0 7.2292 Cherbourg, FR none unknown
585 perished third male unknown 0 0 8.7125 Cherbourg, FR none unknown
599 perished third male unknown 0 0 7.225 Cherbourg, FR none unknown
774 perished third male unknown 0 0 7.225 Cherbourg, FR none unknown
833 perished third male unknown 0 0 7.2292 Cherbourg, FR none unknown
860 perished third male unknown 0 0 7.2292 Cherbourg, FR none unknown
241 perished third female unknown 1 0 14.4542 Cherbourg, FR one unknown
579 perished third female unknown 1 0 14.4583 Cherbourg, FR one unknown
49 perished third male unknown 2 0 21.6792 Cherbourg, FR two unknown
141 perished third female unknown 0 2 15.2458 Cherbourg, FR two unknown
257 survived first female unknown 0 0 79.2 Cherbourg, FR none unknown
307 survived first female unknown 0 0 110.8833 Cherbourg, FR none unknown
840 survived first male unknown 0 0 29.7 Cherbourg, FR none unknown
548 survived second male unknown 0 0 13.8625 Cherbourg, FR none unknown
20 survived third female unknown 0 0 7.225 Cherbourg, FR none unknown
37 survived third male unknown 0 0 7.2292 Cherbourg, FR none unknown
368 survived third female unknown 0 0 7.2292 Cherbourg, FR none unknown
32 survived first female unknown 1 0 146.5208 Cherbourg, FR one unknown
376 survived first female unknown 1 0 82.1708 Cherbourg, FR one unknown
850 survived first female unknown 1 0 89.1042 Cherbourg, FR one unknown
66 survived third male unknown 1 1 15.2458 Cherbourg, FR two unknown
129 survived third female unknown 1 1 22.3583 Cherbourg, FR two unknown
534 survived third female unknown 0 2 22.3583 Cherbourg, FR two unknown
710 survived third male unknown 1 1 15.2458 Cherbourg, FR two unknown
17 perished third male 2 4 1 29.125 Queenstown, IR five < 11
172 perished third male 4 4 1 29.125 Queenstown, IR five < 11
279 perished third male 7 4 1 29.125 Queenstown, IR five < 11
788 perished third male 8 4 1 29.125 Queenstown, IR five < 11
655 perished third female 18 0 0 6.75 Queenstown, IR none 11 to 20
144 perished third male 19 0 0 6.75 Queenstown, IR none 11 to 20
422 perished third male 21 0 0 7.7333 Queenstown, IR none 11 to 20
502 perished third female 21 0 0 7.75 Queenstown, IR none 11 to 20
23 survived third female 15 0 0 8.0292 Queenstown, IR none 11 to 20
157 survived third female 16 0 0 7.7333 Queenstown, IR none 11 to 20
209 survived third female 16 0 0 7.75 Queenstown, IR none 11 to 20
45 survived third female 19 0 0 7.8792 Queenstown, IR none 11 to 20
704 perished third male 25 0 0 7.7417 Queenstown, IR none 21 to 30
768 perished third female 30.5 0 0 7.75 Queenstown, IR none 21 to 30
750 perished third male 31 0 0 7.75 Queenstown, IR none 21 to 30
323 survived second female 30 0 0 12.35 Queenstown, IR none 21 to 30
290 survived third female 22 0 0 7.75 Queenstown, IR none 21 to 30
511 survived third male 29 0 0 7.75 Queenstown, IR none 21 to 30
891 perished third male 32 0 0 7.75 Queenstown, IR none 31 to 40
526 perished third male 40.5 0 0 7.75 Queenstown, IR none 31 to 40
658 perished third female 32 1 1 15.5 Queenstown, IR two 31 to 40
189 perished third male 40 1 1 15.5 Queenstown, IR two 31 to 40
886 perished third female 39 0 5 29.125 Queenstown, IR five 31 to 40
413 survived first female 33 1 0 90 Queenstown, IR one 31 to 40
246 perished first male 44 2 0 90 Queenstown, IR two 41 to 50
627 perished second male 57 0 0 12.35 Queenstown, IR none 51 to 60
281 perished third male 65 0 0 7.75 Queenstown, IR none 61 to 80
117 perished third male 70.5 0 0 7.75 Queenstown, IR none 61 to 80
6 perished third male unknown 0 0 8.4583 Queenstown, IR none unknown
127 perished third male unknown 0 0 7.75 Queenstown, IR none unknown
197 perished third male unknown 0 0 7.75 Queenstown, IR none unknown
261 perished third male unknown 0 0 7.75 Queenstown, IR none unknown
265 perished third female unknown 0 0 7.75 Queenstown, IR none unknown
389 perished third male unknown 0 0 7.7292 Queenstown, IR none unknown
412 perished third male unknown 0 0 6.8583 Queenstown, IR none unknown
429 perished third male unknown 0 0 7.75 Queenstown, IR none unknown
460 perished third male unknown 0 0 7.75 Queenstown, IR none unknown
469 perished third male unknown 0 0 7.725 Queenstown, IR none unknown
503 perished third female unknown 0 0 7.6292 Queenstown, IR none unknown
518 perished third male unknown 0 0 24.15 Queenstown, IR none unknown
553 perished third male unknown 0 0 7.8292 Queenstown, IR none unknown
561 perished third male unknown 0 0 7.75 Queenstown, IR none unknown
614 perished third male unknown 0 0 7.75 Queenstown, IR none unknown
630 perished third male unknown 0 0 7.7333 Queenstown, IR none unknown
681 perished third female unknown 0 0 8.1375 Queenstown, IR none unknown
719 perished third male unknown 0 0 15.5 Queenstown, IR none unknown
777 perished third male unknown 0 0 7.75 Queenstown, IR none unknown
779 perished third male unknown 0 0 7.7375 Queenstown, IR none unknown
791 perished third male unknown 0 0 7.75 Queenstown, IR none unknown
826 perished third male unknown 0 0 6.95 Queenstown, IR none unknown
47 perished third male unknown 1 0 15.5 Queenstown, IR one unknown
215 perished third male unknown 1 0 7.75 Queenstown, IR one unknown
365 perished third male unknown 1 0 15.5 Queenstown, IR one unknown
769 perished third male unknown 1 0 24.15 Queenstown, IR one unknown
594 perished third female unknown 0 2 7.75 Queenstown, IR two unknown
304 survived second female unknown 0 0 12.35 Queenstown, IR none unknown
29 survived third female unknown 0 0 7.8792 Queenstown, IR none unknown
33 survived third female unknown 0 0 7.75 Queenstown, IR none unknown
48 survived third female unknown 0 0 7.75 Queenstown, IR none unknown
83 survived third female unknown 0 0 7.7875 Queenstown, IR none unknown
199 survived third female unknown 0 0 7.75 Queenstown, IR none unknown
275 survived third female unknown 0 0 7.75 Queenstown, IR none unknown
301 survived third female unknown 0 0 7.75 Queenstown, IR none unknown
359 survived third female unknown 0 0 7.8792 Queenstown, IR none unknown
360 survived third female unknown 0 0 7.8792 Queenstown, IR none unknown
369 survived third female unknown 0 0 7.75 Queenstown, IR none unknown
574 survived third female unknown 0 0 7.75 Queenstown, IR none unknown
654 survived third female unknown 0 0 7.8292 Queenstown, IR none unknown
698 survived third female unknown 0 0 7.7333 Queenstown, IR none unknown
728 survived third female unknown 0 0 7.7375 Queenstown, IR none unknown
829 survived third male unknown 0 0 7.75 Queenstown, IR none unknown
110 survived third female unknown 1 0 24.15 Queenstown, IR one unknown
187 survived third female unknown 1 0 15.5 Queenstown, IR one unknown
242 survived third female unknown 1 0 15.5 Queenstown, IR one unknown
613 survived third female unknown 1 0 15.5 Queenstown, IR one unknown
302 survived third male unknown 2 0 23.25 Queenstown, IR two unknown
331 survived third female unknown 2 0 23.25 Queenstown, IR two unknown
206 perished third female 2 0 1 10.4625 Southampton, UK one < 11
420 perished third female 10 0 2 24.15 Southampton, UK two < 11
298 perished first female 2 1 2 151.55 Southampton, UK three < 11
8 perished third male 2 3 1 21.075 Southampton, UK four < 11
375 perished third female 3 3 1 21.075 Southampton, UK four < 11
25 perished third female 8 3 1 21.075 Southampton, UK four < 11
148 perished third female 9 2 2 34.375 Southampton, UK four < 11
165 perished third male 1 4 1 39.6875 Southampton, UK five < 11
643 perished third female 2 3 2 27.9 Southampton, UK five < 11
825 perished third male 2 4 1 39.6875 Southampton, UK five < 11
64 perished third male 4 3 2 27.9 Southampton, UK five < 11
51 perished third male 7 4 1 39.6875 Southampton, UK five < 11
635 perished third female 9 3 2 27.9 Southampton, UK five < 11
820 perished third male 10 3 2 27.9 Southampton, UK five < 11
120 perished third female 2 4 2 31.275 Southampton, UK six < 11
851 perished third male 4 4 2 31.275 Southampton, UK six < 11
814 perished third female 6 4 2 31.275 Southampton, UK six < 11
183 perished third male 9 4 2 31.3875 Southampton, UK six < 11
542 perished third female 9 4 2 31.275 Southampton, UK six < 11
543 perished third female 11 4 2 31.275 Southampton, UK six < 11
387 perished third male 1 5 2 46.9 Southampton, UK seven < 11
481 perished third male 9 5 2 46.9 Southampton, UK seven < 11
60 perished third male 11 5 2 46.9 Southampton, UK seven < 11
778 survived third female 5 0 0 12.475 Southampton, UK none < 11
721 survived second female 6 0 1 33 Southampton, UK one < 11
480 survived third female 2 0 1 12.2875 Southampton, UK one < 11
752 survived third male 6 0 1 12.475 Southampton, UK one < 11
446 survived first male 4 0 2 81.8583 Southampton, UK two < 11
756 survived second male 0.67 1 1 14.5 Southampton, UK two < 11
79 survived second male 0.83 0 2 29 Southampton, UK two < 11
832 survived second male 0.83 1 1 18.75 Southampton, UK two < 11
341 survived second male 2 1 1 26 Southampton, UK two < 11
531 survived second female 2 1 1 26 Southampton, UK two < 11
194 survived second male 3 1 1 26 Southampton, UK two < 11
408 survived second male 3 1 1 18.75 Southampton, UK two < 11
751 survived second female 4 1 1 23 Southampton, UK two < 11
536 survived second female 7 0 2 26.25 Southampton, UK two < 11
238 survived second female 8 0 2 26.25 Southampton, UK two < 11
550 survived second male 8 1 1 36.75 Southampton, UK two < 11
173 survived third female 1 1 1 11.1333 Southampton, UK two < 11
349 survived third male 3 1 1 15.9 Southampton, UK two < 11
11 survived third female 4 1 1 16.7 Southampton, UK two < 11
185 survived third female 4 0 2 22.025 Southampton, UK two < 11
870 survived third male 4 1 1 11.1333 Southampton, UK two < 11
166 survived third male 9 0 2 20.525 Southampton, UK two < 11
490 survived third male 9 1 1 15.9 Southampton, UK two < 11
306 survived first male 0.92 1 2 151.55 Southampton, UK three < 11
803 survived first male 11 1 2 120 Southampton, UK three < 11
184 survived second male 1 2 1 39 Southampton, UK three < 11
619 survived second female 4 2 1 39 Southampton, UK three < 11
59 survived second female 5 1 2 27.75 Southampton, UK three < 11
789 survived third male 1 1 2 20.575 Southampton, UK three < 11
262 survived third male 3 4 2 31.3875 Southampton, UK six < 11
234 survived third female 5 4 2 31.3875 Southampton, UK six < 11
792 perished second male 16 0 0 26 Southampton, UK none 11 to 20
842 perished second male 16 0 0 10.5 Southampton, UK none 11 to 20
145 perished second male 18 0 0 11.5 Southampton, UK none 11 to 20
229 perished second male 18 0 0 13 Southampton, UK none 11 to 20
386 perished second male 18 0 0 73.5 Southampton, UK none 11 to 20
758 perished second male 18 0 0 11.5 Southampton, UK none 11 to 20
192 perished second male 19 0 0 13 Southampton, UK none 11 to 20
239 perished second male 19 0 0 10.5 Southampton, UK none 11 to 20
73 perished second male 21 0 0 73.5 Southampton, UK none 11 to 20
15 perished third female 14 0 0 7.8542 Southampton, UK none 11 to 20
139 perished third male 16 0 0 9.2167 Southampton, UK none 11 to 20
283 perished third male 16 0 0 9.5 Southampton, UK none 11 to 20
575 perished third male 16 0 0 8.05 Southampton, UK none 11 to 20
765 perished third male 16 0 0 7.775 Southampton, UK none 11 to 20
164 perished third male 17 0 0 8.6625 Southampton, UK none 11 to 20
434 perished third male 17 0 0 7.125 Southampton, UK none 11 to 20
501 perished third male 17 0 0 8.6625 Southampton, UK none 11 to 20
845 perished third male 17 0 0 8.6625 Southampton, UK none 11 to 20
676 perished third male 18 0 0 7.775 Southampton, UK none 11 to 20
689 perished third male 18 0 0 7.7958 Southampton, UK none 11 to 20
776 perished third male 18 0 0 7.75 Southampton, UK none 11 to 20
808 perished third female 18 0 0 7.775 Southampton, UK none 11 to 20
835 perished third male 18 0 0 8.3 Southampton, UK none 11 to 20
68 perished third male 19 0 0 8.1583 Southampton, UK none 11 to 20
303 perished third male 19 0 0 0 Southampton, UK none 11 to 20
373 perished third male 19 0 0 8.05 Southampton, UK none 11 to 20
380 perished third male 19 0 0 7.775 Southampton, UK none 11 to 20
567 perished third male 19 0 0 7.8958 Southampton, UK none 11 to 20
576 perished third male 19 0 0 14.5 Southampton, UK none 11 to 20
647 perished third male 19 0 0 7.8958 Southampton, UK none 11 to 20
688 perished third male 19 0 0 10.1708 Southampton, UK none 11 to 20
716 perished third male 19 0 0 7.65 Southampton, UK none 11 to 20
878 perished third male 19 0 0 7.8958 Southampton, UK none 11 to 20
13 perished third male 20 0 0 8.05 Southampton, UK none 11 to 20
92 perished third male 20 0 0 7.8542 Southampton, UK none 11 to 20
132 perished third male 20 0 0 7.05 Southampton, UK none 11 to 20
405 perished third female 20 0 0 8.6625 Southampton, UK none 11 to 20
442 perished third male 20 0 0 9.5 Southampton, UK none 11 to 20
641 perished third male 20 0 0 7.8542 Southampton, UK none 11 to 20
683 perished third male 20 0 0 9.225 Southampton, UK none 11 to 20
726 perished third male 20 0 0 8.6625 Southampton, UK none 11 to 20
841 perished third male 20 0 0 7.925 Southampton, UK none 11 to 20
877 perished third male 20 0 0 9.8458 Southampton, UK none 11 to 20
228 perished third male 20.5 0 0 7.25 Southampton, UK none 11 to 20
38 perished third male 21 0 0 8.05 Southampton, UK none 11 to 20
52 perished third male 21 0 0 7.8 Southampton, UK none 11 to 20
116 perished third male 21 0 0 7.925 Southampton, UK none 11 to 20
174 perished third male 21 0 0 7.925 Southampton, UK none 11 to 20
409 perished third male 21 0 0 7.775 Southampton, UK none 11 to 20
492 perished third male 21 0 0 7.25 Southampton, UK none 11 to 20
495 perished third male 21 0 0 8.05 Southampton, UK none 11 to 20
624 perished third male 21 0 0 7.8542 Southampton, UK none 11 to 20
625 perished third male 21 0 0 16.1 Southampton, UK none 11 to 20
653 perished third male 21 0 0 8.4333 Southampton, UK none 11 to 20
837 perished third male 21 0 0 8.6625 Southampton, UK none 11 to 20
749 perished first male 19 1 0 53.1 Southampton, UK one 11 to 20
103 perished first male 21 0 1 77.2875 Southampton, UK one 11 to 20
862 perished second male 21 1 0 11.5 Southampton, UK one 11 to 20
722 perished third male 17 1 0 7.0542 Southampton, UK one 11 to 20
50 perished third female 18 1 0 17.8 Southampton, UK one 11 to 20
372 perished third male 18 1 0 6.4958 Southampton, UK one 11 to 20
114 perished third female 20 1 0 9.825 Southampton, UK one 11 to 20
403 perished third female 21 1 0 9.825 Southampton, UK one 11 to 20
146 perished second male 19 1 1 36.75 Southampton, UK two 11 to 20
121 perished second male 21 2 0 73.5 Southampton, UK two 11 to 20
334 perished third male 16 2 0 18 Southampton, UK two 11 to 20
747 perished third male 16 1 1 20.25 Southampton, UK two 11 to 20
39 perished third female 18 2 0 18 Southampton, UK two 11 to 20
176 perished third male 18 1 1 7.8542 Southampton, UK two 11 to 20
425 perished third male 18 1 1 20.2125 Southampton, UK two 11 to 20
87 perished third male 16 1 3 34.375 Southampton, UK four 11 to 20
437 perished third female 21 2 2 34.375 Southampton, UK four 11 to 20
28 perished first male 19 3 2 263 Southampton, UK five 11 to 20
687 perished third male 14 4 1 39.6875 Southampton, UK five 11 to 20
267 perished third male 16 4 1 39.6875 Southampton, UK five 11 to 20
684 perished third male 14 5 2 46.9 Southampton, UK seven 11 to 20
72 perished third female 16 5 2 46.9 Southampton, UK seven 11 to 20
505 survived first female 16 0 0 86.5 Southampton, UK none 11 to 20
888 survived first female 19 0 0 30 Southampton, UK none 11 to 20
628 survived first female 21 0 0 77.9583 Southampton, UK none 11 to 20
85 survived second female 17 0 0 10.5 Southampton, UK none 11 to 20
227 survived second male 19 0 0 10.5 Southampton, UK none 11 to 20
428 survived second female 19 0 0 26 Southampton, UK none 11 to 20
57 survived second female 21 0 0 10.5 Southampton, UK none 11 to 20
221 survived third male 16 0 0 8.05 Southampton, UK none 11 to 20
205 survived third male 18 0 0 8.05 Southampton, UK none 11 to 20
678 survived third female 18 0 0 9.8417 Southampton, UK none 11 to 20
787 survived third female 18 0 0 7.4958 Southampton, UK none 11 to 20
284 survived third male 19 0 0 8.05 Southampton, UK none 11 to 20
107 survived third female 21 0 0 7.65 Southampton, UK none 11 to 20
392 survived third male 21 0 0 7.7958 Southampton, UK none 11 to 20
690 survived first female 15 0 1 211.3375 Southampton, UK one 11 to 20
854 survived first female 16 0 1 39.4 Southampton, UK one 11 to 20
782 survived first female 17 1 0 57 Southampton, UK one 11 to 20
447 survived second female 13 0 1 19.5 Southampton, UK one 11 to 20
652 survived second female 18 0 1 23 Southampton, UK one 11 to 20
547 survived second female 19 1 0 26 Southampton, UK one 11 to 20
856 survived third female 18 0 1 9.35 Southampton, UK one 11 to 20
193 survived third female 19 1 0 7.8542 Southampton, UK one 11 to 20
665 survived third male 20 1 0 7.925 Southampton, UK one 11 to 20
586 survived first female 18 0 2 79.65 Southampton, UK two 11 to 20
137 survived first female 19 0 2 26.2833 Southampton, UK two 11 to 20
418 survived second female 18 0 2 13 Southampton, UK two 11 to 20
436 survived first female 14 1 2 120 Southampton, UK three 11 to 20
69 survived third female 17 4 2 7.925 Southampton, UK six 11 to 20
84 perished first male 28 0 0 47.1 Southampton, UK none 21 to 30
783 perished first male 29 0 0 30 Southampton, UK none 21 to 30
868 perished first male 31 0 0 50.4958 Southampton, UK none 21 to 30
399 perished second male 23 0 0 10.5 Southampton, UK none 21 to 30
659 perished second male 23 0 0 13 Southampton, UK none 21 to 30
734 perished second male 23 0 0 13 Southampton, UK none 21 to 30
735 perished second male 23 0 0 13 Southampton, UK none 21 to 30
200 perished second female 24 0 0 13 Southampton, UK none 21 to 30
235 perished second male 24 0 0 10.5 Southampton, UK none 21 to 30
865 perished second male 24 0 0 13 Southampton, UK none 21 to 30
135 perished second male 25 0 0 13 Southampton, UK none 21 to 30
344 perished second male 25 0 0 13 Southampton, UK none 21 to 30
667 perished second male 25 0 0 13 Southampton, UK none 21 to 30
620 perished second male 26 0 0 10.5 Southampton, UK none 21 to 30
222 perished second male 27 0 0 13 Southampton, UK none 21 to 30
552 perished second male 27 0 0 26 Southampton, UK none 21 to 30
887 perished second male 27 0 0 13 Southampton, UK none 21 to 30
343 perished second male 28 0 0 13 Southampton, UK none 21 to 30
563 perished second male 28 0 0 13.5 Southampton, UK none 21 to 30
884 perished second male 28 0 0 10.5 Southampton, UK none 21 to 30
243 perished second male 29 0 0 10.5 Southampton, UK none 21 to 30
179 perished second male 30 0 0 13 Southampton, UK none 21 to 30
214 perished second male 30 0 0 13 Southampton, UK none 21 to 30
220 perished second male 30 0 0 10.5 Southampton, UK none 21 to 30
419 perished second male 30 0 0 13 Southampton, UK none 21 to 30
440 perished second male 31 0 0 10.5 Southampton, UK none 21 to 30
81 perished third male 22 0 0 9 Southampton, UK none 21 to 30
113 perished third male 22 0 0 8.05 Southampton, UK none 21 to 30
213 perished third male 22 0 0 7.25 Southampton, UK none 21 to 30
226 perished third male 22 0 0 9.35 Southampton, UK none 21 to 30
244 perished third male 22 0 0 7.125 Southampton, UK none 21 to 30
288 perished third male 22 0 0 7.8958 Southampton, UK none 21 to 30
321 perished third male 22 0 0 7.25 Southampton, UK none 21 to 30
396 perished third male 22 0 0 7.7958 Southampton, UK none 21 to 30
475 perished third female 22 0 0 9.8375 Southampton, UK none 21 to 30
479 perished third male 22 0 0 7.5208 Southampton, UK none 21 to 30
522 perished third male 22 0 0 7.8958 Southampton, UK none 21 to 30
589 perished third male 22 0 0 8.05 Southampton, UK none 21 to 30
883 perished third female 22 0 0 10.5167 Southampton, UK none 21 to 30
351 perished third male 23 0 0 9.225 Southampton, UK none 21 to 30
754 perished third male 23 0 0 7.8958 Southampton, UK none 21 to 30
817 perished third female 23 0 0 7.925 Southampton, UK none 21 to 30
834 perished third male 23 0 0 7.8542 Southampton, UK none 21 to 30
90 perished third male 24 0 0 8.05 Southampton, UK none 21 to 30
211 perished third male 24 0 0 7.05 Southampton, UK none 21 to 30
294 perished third female 24 0 0 8.85 Southampton, UK none 21 to 30
295 perished third male 24 0 0 7.8958 Southampton, UK none 21 to 30
500 perished third male 24 0 0 7.7958 Southampton, UK none 21 to 30
515 perished third male 24 0 0 7.4958 Southampton, UK none 21 to 30
771 perished third male 24 0 0 9.5 Southampton, UK none 21 to 30
677 perished third male 24.5 0 0 8.05 Southampton, UK none 21 to 30
76 perished third male 25 0 0 7.65 Southampton, UK none 21 to 30
247 perished third female 25 0 0 7.775 Southampton, UK none 21 to 30
785 perished third male 25 0 0 7.05 Southampton, UK none 21 to 30
786 perished third male 25 0 0 7.25 Southampton, UK none 21 to 30
795 perished third male 25 0 0 7.8958 Southampton, UK none 21 to 30
885 perished third male 25 0 0 7.05 Southampton, UK none 21 to 30
163 perished third male 26 0 0 7.775 Southampton, UK none 21 to 30
402 perished third male 26 0 0 8.05 Southampton, UK none 21 to 30
629 perished third male 26 0 0 7.8958 Southampton, UK none 21 to 30
811 perished third male 26 0 0 7.8875 Southampton, UK none 21 to 30
871 perished third male 26 0 0 7.8958 Southampton, UK none 21 to 30
322 perished third male 27 0 0 7.8958 Southampton, UK none 21 to 30
101 perished third female 28 0 0 7.8958 Southampton, UK none 21 to 30
106 perished third male 28 0 0 7.8958 Southampton, UK none 21 to 30
170 perished third male 28 0 0 56.4958 Southampton, UK none 21 to 30
201 perished third male 28 0 0 9.5 Southampton, UK none 21 to 30
282 perished third male 28 0 0 7.8542 Southampton, UK none 21 to 30
314 perished third male 28 0 0 7.8958 Southampton, UK none 21 to 30
356 perished third male 28 0 0 9.5 Southampton, UK none 21 to 30
509 perished third male 28 0 0 22.525 Southampton, UK none 21 to 30
757 perished third male 28 0 0 7.7958 Southampton, UK none 21 to 30
736 perished third male 28.5 0 0 16.1 Southampton, UK none 21 to 30
91 perished third male 29 0 0 8.05 Southampton, UK none 21 to 30
232 perished third male 29 0 0 7.775 Southampton, UK none 21 to 30
423 perished third male 29 0 0 7.875 Southampton, UK none 21 to 30
714 perished third male 29 0 0 9.4833 Southampton, UK none 21 to 30
158 perished third male 30 0 0 8.05 Southampton, UK none 21 to 30
366 perished third male 30 0 0 7.25 Southampton, UK none 21 to 30
489 perished third male 30 0 0 8.05 Southampton, UK none 21 to 30
535 perished third female 30 0 0 8.6625 Southampton, UK none 21 to 30
607 perished third male 30 0 0 7.8958 Southampton, UK none 21 to 30
815 perished third male 30.5 0 0 8.05 Southampton, UK none 21 to 30
397 perished third female 31 0 0 7.8542 Southampton, UK none 21 to 30
806 perished third male 31 0 0 7.775 Southampton, UK none 21 to 30
337 perished first male 29 1 0 66.6 Southampton, UK one 21 to 30
672 perished first male 31 1 0 52 Southampton, UK one 21 to 30
729 perished second male 25 1 0 26 Southampton, UK one 21 to 30
42 perished second female 27 1 0 21 Southampton, UK one 21 to 30
849 perished second male 28 0 1 33 Southampton, UK one 21 to 30
118 perished second male 29 1 0 21 Southampton, UK one 21 to 30
1 perished third male 22 1 0 7.25 Southampton, UK one 21 to 30
744 perished third male 24 1 0 16.1 Southampton, UK one 21 to 30
354 perished third male 25 1 0 17.8 Southampton, UK one 21 to 30
443 perished third male 25 1 0 7.775 Southampton, UK one 21 to 30
730 perished third female 25 1 0 7.925 Southampton, UK one 21 to 30
618 perished third female 26 1 0 16.1 Southampton, UK one 21 to 30
705 perished third male 26 1 0 7.8542 Southampton, UK one 21 to 30
404 perished third male 28 1 0 15.85 Southampton, UK one 21 to 30
478 perished third male 29 1 0 7.0458 Southampton, UK one 21 to 30
254 perished third male 30 1 0 16.1 Southampton, UK one 21 to 30
19 perished third female 31 1 0 18 Southampton, UK one 21 to 30
656 perished second male 24 2 0 73.5 Southampton, UK two 21 to 30
313 perished second female 26 1 1 26 Southampton, UK two 21 to 30
638 perished second male 31 1 1 26.25 Southampton, UK two 21 to 30
566 perished third male 24 2 0 24.15 Southampton, UK two 21 to 30
70 perished third male 26 2 0 8.6625 Southampton, UK two 21 to 30
393 perished third male 28 2 0 7.925 Southampton, UK two 21 to 30
424 perished third female 28 1 1 14.4 Southampton, UK two 21 to 30
252 perished third female 29 1 1 10.4625 Southampton, UK two 21 to 30
800 perished third female 30 1 1 24.15 Southampton, UK two 21 to 30
499 perished first female 25 1 2 151.55 Southampton, UK three 21 to 30
530 perished second male 23 2 1 11.5 Southampton, UK three 21 to 30
94 perished third male 26 1 2 20.575 Southampton, UK three 21 to 30
568 perished third female 29 0 4 21.075 Southampton, UK four 21 to 30
709 survived first female 22 0 0 151.55 Southampton, UK none 21 to 30
291 survived first female 26 0 0 78.85 Southampton, UK none 21 to 30
608 survived first male 27 0 0 30.5 Southampton, UK none 21 to 30
24 survived first male 28 0 0 35.5 Southampton, UK none 21 to 30
431 survived first male 28 0 0 26.55 Southampton, UK none 21 to 30
731 survived first female 29 0 0 211.3375 Southampton, UK none 21 to 30
258 survived first female 30 0 0 86.5 Southampton, UK none 21 to 30
521 survived first female 30 0 0 93.5 Southampton, UK none 21 to 30
346 survived second female 24 0 0 13 Southampton, UK none 21 to 30
718 survived second female 27 0 0 10.5 Southampton, UK none 21 to 30
400 survived second female 28 0 0 12.65 Southampton, UK none 21 to 30
444 survived second female 28 0 0 13 Southampton, UK none 21 to 30
636 survived second female 28 0 0 13 Southampton, UK none 21 to 30
67 survived second female 29 0 0 10.5 Southampton, UK none 21 to 30
748 survived second female 30 0 0 13 Southampton, UK none 21 to 30
674 survived second male 31 0 0 13 Southampton, UK none 21 to 30
142 survived third female 22 0 0 7.75 Southampton, UK none 21 to 30
377 survived third female 22 0 0 7.25 Southampton, UK none 21 to 30
555 survived third female 22 0 0 7.775 Southampton, UK none 21 to 30
650 survived third female 23 0 0 7.55 Southampton, UK none 21 to 30
128 survived third male 24 0 0 7.1417 Southampton, UK none 21 to 30
272 survived third male 25 0 0 0 Southampton, UK none 21 to 30
3 survived third female 26 0 0 7.925 Southampton, UK none 21 to 30
316 survived third female 26 0 0 7.8542 Southampton, UK none 21 to 30
510 survived third male 26 0 0 56.4958 Southampton, UK none 21 to 30
147 survived third male 27 0 0 7.7958 Southampton, UK none 21 to 30
217 survived third female 27 0 0 7.925 Southampton, UK none 21 to 30
805 survived third male 27 0 0 6.975 Southampton, UK none 21 to 30
822 survived third male 27 0 0 8.6625 Southampton, UK none 21 to 30
82 survived third male 29 0 0 9.5 Southampton, UK none 21 to 30
80 survived third female 30 0 0 12.475 Southampton, UK none 21 to 30
287 survived third male 30 0 0 9.5 Southampton, UK none 21 to 30
745 survived third male 31 0 0 7.925 Southampton, UK none 21 to 30
798 survived third female 31 0 0 8.6833 Southampton, UK none 21 to 30
152 survived first female 22 1 0 66.6 Southampton, UK one 21 to 30
357 survived first female 22 0 1 55 Southampton, UK one 21 to 30
725 survived first male 27 1 0 53.1 Southampton, UK one 21 to 30
691 survived first male 31 1 0 57 Southampton, UK one 21 to 30
317 survived second female 24 1 0 26 Southampton, UK one 21 to 30
881 survived second female 25 0 1 26 Southampton, UK one 21 to 30
427 survived second female 28 1 0 26 Southampton, UK one 21 to 30
54 survived second female 29 1 0 26 Southampton, UK one 21 to 30
134 survived second female 29 1 0 26 Southampton, UK one 21 to 30
143 survived third female 24 1 0 15.85 Southampton, UK one 21 to 30
268 survived third male 25 1 0 7.775 Southampton, UK one 21 to 30
824 survived third female 27 0 1 12.475 Southampton, UK one 21 to 30
319 survived first female 31 0 2 164.8667 Southampton, UK two 21 to 30
324 survived second female 22 1 1 29 Southampton, UK two 21 to 30
248 survived second female 24 0 2 14.5 Southampton, UK two 21 to 30
581 survived second female 25 1 1 30 Southampton, UK two 21 to 30
802 survived second female 31 1 1 26.25 Southampton, UK two 21 to 30
395 survived third female 24 0 2 16.7 Southampton, UK two 21 to 30
9 survived third female 27 0 2 11.1333 Southampton, UK two 21 to 30
329 survived third female 31 1 1 20.525 Southampton, UK two 21 to 30
601 survived second female 24 2 1 27 Southampton, UK three 21 to 30
616 survived second female 24 1 2 65 Southampton, UK three 21 to 30
727 survived second female 30 3 0 21 Southampton, UK three 21 to 30
89 survived first female 23 3 2 263 Southampton, UK five 21 to 30
342 survived first female 24 3 2 263 Southampton, UK five 21 to 30
438 survived second female 24 2 3 18.75 Southampton, UK five 21 to 30
873 perished first male 33 0 0 5 Southampton, UK none 31 to 40
823 perished first male 38 0 0 0 Southampton, UK none 31 to 40
807 perished first male 39 0 0 0 Southampton, UK none 31 to 40
264 perished first male 40 0 0 0 Southampton, UK none 31 to 40
71 perished second male 32 0 0 10.5 Southampton, UK none 31 to 40
240 perished second male 33 0 0 12.275 Southampton, UK none 31 to 40
723 perished second male 34 0 0 13 Southampton, UK none 31 to 40
801 perished second male 34 0 0 13 Southampton, UK none 31 to 40
21 perished second male 35 0 0 26 Southampton, UK none 31 to 40
813 perished second male 35 0 0 10.5 Southampton, UK none 31 to 40
266 perished second male 36 0 0 10.5 Southampton, UK none 31 to 40
345 perished second male 36 0 0 13 Southampton, UK none 31 to 40
358 perished second female 38 0 0 13 Southampton, UK none 31 to 40
706 perished second male 39 0 0 26 Southampton, UK none 31 to 40
796 perished second male 39 0 0 13 Southampton, UK none 31 to 40
809 perished second male 39 0 0 13 Southampton, UK none 31 to 40
383 perished third male 32 0 0 7.925 Southampton, UK none 31 to 40
520 perished third male 32 0 0 7.8958 Southampton, UK none 31 to 40
637 perished third male 32 0 0 7.925 Southampton, UK none 31 to 40
770 perished third male 32 0 0 8.3625 Southampton, UK none 31 to 40
104 perished third male 33 0 0 8.6542 Southampton, UK none 31 to 40
720 perished third male 33 0 0 7.775 Southampton, UK none 31 to 40
753 perished third male 33 0 0 9.5 Southampton, UK none 31 to 40
882 perished third male 33 0 0 7.8958 Southampton, UK none 31 to 40
203 perished third male 34 0 0 6.4958 Southampton, UK none 31 to 40
462 perished third male 34 0 0 8.05 Southampton, UK none 31 to 40
759 perished third male 34 0 0 8.05 Southampton, UK none 31 to 40
5 perished third male 35 0 0 8.05 Southampton, UK none 31 to 40
364 perished third male 35 0 0 7.05 Southampton, UK none 31 to 40
591 perished third male 35 0 0 7.125 Southampton, UK none 31 to 40
615 perished third male 35 0 0 8.05 Southampton, UK none 31 to 40
180 perished third male 36 0 0 0 Southampton, UK none 31 to 40
190 perished third male 36 0 0 7.8958 Southampton, UK none 31 to 40
664 perished third male 36 0 0 7.4958 Southampton, UK none 31 to 40
504 perished third female 37 0 0 9.5875 Southampton, UK none 31 to 40
109 perished third male 38 0 0 7.8958 Southampton, UK none 31 to 40
466 perished third male 38 0 0 7.05 Southampton, UK none 31 to 40
472 perished third male 38 0 0 8.6625 Southampton, UK none 31 to 40
529 perished third male 39 0 0 7.925 Southampton, UK none 31 to 40
812 perished third male 39 0 0 24.15 Southampton, UK none 31 to 40
562 perished third male 40 0 0 7.8958 Southampton, UK none 31 to 40
762 perished third male 41 0 0 7.125 Southampton, UK none 31 to 40
742 perished first male 36 1 0 78.85 Southampton, UK one 31 to 40
138 perished first male 37 1 0 53.1 Southampton, UK one 31 to 40
333 perished first male 38 0 1 153.4625 Southampton, UK one 31 to 40
100 perished second male 34 1 0 26 Southampton, UK one 31 to 40
406 perished second male 34 1 0 21 Southampton, UK one 31 to 40
477 perished second male 34 1 0 21 Southampton, UK one 31 to 40
595 perished second male 37 1 0 26 Southampton, UK one 31 to 40
207 perished third male 32 1 0 15.85 Southampton, UK one 31 to 40
606 perished third male 36 1 0 15.55 Southampton, UK one 31 to 40
41 perished third female 40 1 0 9.475 Southampton, UK one 31 to 40
666 perished second male 32 2 0 73.5 Southampton, UK two 31 to 40
149 perished second male 36.5 0 2 26 Southampton, UK two 31 to 40
549 perished third male 33 1 1 20.525 Southampton, UK two 31 to 40
617 perished third male 34 1 1 14.4 Southampton, UK two 31 to 40
596 perished third male 36 1 1 24.15 Southampton, UK two 31 to 40
105 perished third male 37 2 0 7.925 Southampton, UK two 31 to 40
154 perished third male 40.5 0 2 14.5 Southampton, UK two 31 to 40
255 perished third female 41 0 2 20.2125 Southampton, UK two 31 to 40
861 perished third male 41 2 0 14.1083 Southampton, UK two 31 to 40
451 perished second male 36 1 2 27.75 Southampton, UK three 31 to 40
361 perished third male 40 1 4 27.9 Southampton, UK five 31 to 40
639 perished third female 41 0 5 39.6875 Southampton, UK five 31 to 40
14 perished third male 39 1 5 31.275 Southampton, UK six 31 to 40
611 perished third female 39 1 5 31.275 Southampton, UK six 31 to 40
760 survived first female 33 0 0 86.5 Southampton, UK none 31 to 40
448 survived first male 34 0 0 26.55 Southampton, UK none 31 to 40
270 survived first female 35 0 0 135.6333 Southampton, UK none 31 to 40
702 survived first male 35 0 0 26.2875 Southampton, UK none 31 to 40
513 survived first male 36 0 0 26.2875 Southampton, UK none 31 to 40
573 survived first male 36 0 0 26.3875 Southampton, UK none 31 to 40
610 survived first female 40 0 0 153.4625 Southampton, UK none 31 to 40
191 survived second female 32 0 0 13 Southampton, UK none 31 to 40
124 survived second female 32.5 0 0 13 Southampton, UK none 31 to 40
22 survived second male 34 0 0 13 Southampton, UK none 31 to 40
517 survived second female 34 0 0 10.5 Southampton, UK none 31 to 40
577 survived second female 34 0 0 13 Southampton, UK none 31 to 40
212 survived second female 35 0 0 21 Southampton, UK none 31 to 40
328 survived second female 36 0 0 13 Southampton, UK none 31 to 40
388 survived second female 36 0 0 13 Southampton, UK none 31 to 40
162 survived second female 40 0 0 15.75 Southampton, UK none 31 to 40
347 survived second female 40 0 0 13 Southampton, UK none 31 to 40
75 survived third male 32 0 0 56.4958 Southampton, UK none 31 to 40
430 survived third male 32 0 0 8.05 Southampton, UK none 31 to 40
570 survived third male 32 0 0 7.8542 Southampton, UK none 31 to 40
580 survived third male 32 0 0 7.925 Southampton, UK none 31 to 40
839 survived third male 32 0 0 56.4958 Southampton, UK none 31 to 40
401 survived third male 39 0 0 7.925 Southampton, UK none 31 to 40
810 survived first female 33 1 0 53.1 Southampton, UK one 31 to 40
4 survived first female 35 1 0 53.1 Southampton, UK one 31 to 40
231 survived first female 35 1 0 83.475 Southampton, UK one 31 to 40
384 survived first female 35 1 0 52 Southampton, UK one 31 to 40
487 survived first female 35 1 0 90 Southampton, UK one 31 to 40
225 survived first male 38 1 0 90 Southampton, UK one 31 to 40
578 survived first female 39 1 0 55.9 Southampton, UK one 31 to 40
544 survived second male 32 1 0 26 Southampton, UK one 31 to 40
99 survived second female 34 0 1 23 Southampton, UK one 31 to 40
519 survived second female 36 1 0 26 Southampton, UK one 31 to 40
273 survived second female 41 0 1 19.5 Southampton, UK one 31 to 40
560 survived third female 36 1 0 17.4 Southampton, UK one 31 to 40
541 survived first female 36 0 2 71 Southampton, UK two 31 to 40
249 survived first male 37 1 1 52.5542 Southampton, UK two 31 to 40
559 survived first female 39 1 1 79.65 Southampton, UK two 31 to 40
507 survived second female 33 0 2 26 Southampton, UK two 31 to 40
417 survived second female 34 1 1 32.5 Southampton, UK two 31 to 40
671 survived second female 40 1 1 39 Southampton, UK two 31 to 40
280 survived third female 35 1 1 20.25 Southampton, UK two 31 to 40
391 survived first male 36 1 2 120 Southampton, UK three 31 to 40
764 survived first female 36 1 2 120 Southampton, UK three 31 to 40
473 survived second female 33 1 2 27.75 Southampton, UK three 31 to 40
86 survived third female 33 3 0 15.85 Southampton, UK three 31 to 40
26 survived third female 38 1 5 31.3875 Southampton, UK six 31 to 40
340 perished first male 45 0 0 35.5 Southampton, UK none 41 to 50
537 perished first male 45 0 0 26.55 Southampton, UK none 41 to 50
332 perished first male 45.5 0 0 28.5 Southampton, UK none 41 to 50
111 perished first male 47 0 0 52 Southampton, UK none 41 to 50
463 perished first male 47 0 0 38.5 Southampton, UK none 41 to 50
516 perished first male 47 0 0 34.0208 Southampton, UK none 41 to 50
663 perished first male 47 0 0 25.5875 Southampton, UK none 41 to 50
150 perished second male 42 0 0 13 Southampton, UK none 41 to 50
398 perished second male 46 0 0 26 Southampton, UK none 41 to 50
587 perished second male 47 0 0 15 Southampton, UK none 41 to 50
464 perished second male 48 0 0 13 Southampton, UK none 41 to 50
724 perished second male 50 0 0 13 Southampton, UK none 41 to 50
151 perished second male 51 0 0 12.525 Southampton, UK none 41 to 50
350 perished third male 42 0 0 8.6625 Southampton, UK none 41 to 50
700 perished third male 42 0 0 7.65 Southampton, UK none 41 to 50
846 perished third male 42 0 0 7.55 Southampton, UK none 41 to 50
669 perished third male 43 0 0 8.05 Southampton, UK none 41 to 50
819 perished third male 43 0 0 6.45 Southampton, UK none 41 to 50
604 perished third male 44 0 0 8.05 Southampton, UK none 41 to 50
697 perished third male 44 0 0 8.05 Southampton, UK none 41 to 50
130 perished third male 45 0 0 6.975 Southampton, UK none 41 to 50
277 perished third female 45 0 0 7.75 Southampton, UK none 41 to 50
593 perished third male 47 0 0 7.25 Southampton, UK none 41 to 50
874 perished third male 47 0 0 9 Southampton, UK none 41 to 50
772 perished third male 48 0 0 7.8542 Southampton, UK none 41 to 50
598 perished third male 49 0 0 0 Southampton, UK none 41 to 50
483 perished third male 50 0 0 8.05 Southampton, UK none 41 to 50
223 perished third male 51 0 0 8.05 Southampton, UK none 41 to 50
407 perished third male 51 0 0 7.75 Southampton, UK none 41 to 50
632 perished third male 51 0 0 7.0542 Southampton, UK none 41 to 50
36 perished first male 42 1 0 52 Southampton, UK one 41 to 50
63 perished first male 45 1 0 83.475 Southampton, UK one 41 to 50
93 perished first male 46 1 0 61.175 Southampton, UK one 41 to 50
435 perished first male 50 1 0 55.9 Southampton, UK one 41 to 50
218 perished second male 42 1 0 27 Southampton, UK one 41 to 50
237 perished second male 44 1 0 26 Southampton, UK one 41 to 50
855 perished second female 44 1 0 26 Southampton, UK one 41 to 50
198 perished third male 42 0 1 8.4042 Southampton, UK one 41 to 50
161 perished third male 44 0 1 16.1 Southampton, UK one 41 to 50
133 perished third female 47 1 0 14.5 Southampton, UK one 41 to 50
315 perished second male 43 1 1 26.25 Southampton, UK two 41 to 50
737 perished third female 48 1 3 34.375 Southampton, UK four 41 to 50
168 perished third female 45 1 4 27.9 Southampton, UK five 41 to 50
679 perished third female 43 1 6 46.9 Southampton, UK seven 41 to 50
708 survived first male 42 0 0 26.2875 Southampton, UK none 41 to 50
188 survived first male 45 0 0 26.55 Southampton, UK none 41 to 50
461 survived first male 48 0 0 26.55 Southampton, UK none 41 to 50
863 survived first female 48 0 0 25.9292 Southampton, UK none 41 to 50
797 survived first female 49 0 0 25.9292 Southampton, UK none 41 to 50
858 survived first male 51 0 0 26.55 Southampton, UK none 41 to 50
289 survived second male 42 0 0 13 Southampton, UK none 41 to 50
866 survived second female 42 0 0 13 Southampton, UK none 41 to 50
707 survived second female 45 0 0 13.5 Southampton, UK none 41 to 50
459 survived second female 50 0 0 10.5 Southampton, UK none 41 to 50
527 survived second female 50 0 0 10.5 Southampton, UK none 41 to 50
415 survived third male 44 0 0 7.925 Southampton, UK none 41 to 50
339 survived third male 45 0 0 8.05 Southampton, UK none 41 to 50
622 survived first male 42 1 0 52.5542 Southampton, UK one 41 to 50
780 survived first female 43 0 1 211.3375 Southampton, UK one 41 to 50
713 survived first male 48 1 0 52 Southampton, UK one 41 to 50
766 survived first female 51 1 0 77.9583 Southampton, UK one 41 to 50
433 survived second female 42 1 0 26 Southampton, UK one 41 to 50
260 survived second female 50 0 1 26 Southampton, UK one 41 to 50
857 survived first female 45 1 1 164.8667 Southampton, UK two 41 to 50
872 survived first female 47 1 1 52.5542 Southampton, UK two 41 to 50
661 survived first male 50 2 0 133.65 Southampton, UK two 41 to 50
441 survived second female 45 1 1 26.25 Southampton, UK two 41 to 50
755 survived second female 48 1 2 65 Southampton, UK three 41 to 50
7 perished first male 54 0 0 51.8625 Southampton, UK none 51 to 60
493 perished first male 55 0 0 30.5 Southampton, UK none 51 to 60
468 perished first male 56 0 0 26.55 Southampton, UK none 51 to 60
695 perished first male 60 0 0 26.55 Southampton, UK none 51 to 60
171 perished first male 61 0 0 33.5 Southampton, UK none 51 to 60
626 perished first male 61 0 0 32.3208 Southampton, UK none 51 to 60
696 perished second male 52 0 0 13.5 Southampton, UK none 51 to 60
715 perished second male 52 0 0 13 Southampton, UK none 51 to 60
318 perished second male 54 0 0 14 Southampton, UK none 51 to 60
583 perished second male 54 0 0 26 Southampton, UK none 51 to 60
773 perished second female 57 0 0 10.5 Southampton, UK none 51 to 60
233 perished second male 59 0 0 13.5 Southampton, UK none 51 to 60
153 perished third male 55.5 0 0 8.05 Southampton, UK none 51 to 60
95 perished third male 59 0 0 7.25 Southampton, UK none 51 to 60
327 perished third male 61 0 0 6.2375 Southampton, UK none 51 to 60
125 perished first male 54 0 1 77.2875 Southampton, UK one 51 to 60
250 perished second male 54 1 0 26 Southampton, UK one 51 to 60
263 perished first male 52 1 1 79.65 Southampton, UK two 51 to 60
685 perished second male 60 1 1 39 Southampton, UK two 51 to 60
450 survived first male 52 0 0 30.5 Southampton, UK none 51 to 60
12 survived first female 58 0 0 26.55 Southampton, UK none 51 to 60
16 survived second female 55 0 0 16 Southampton, UK none 51 to 60
269 survived first female 58 0 1 153.4625 Southampton, UK one 51 to 60
821 survived first female 52 1 1 93.5 Southampton, UK two 51 to 60
572 survived first female 53 2 0 51.4792 Southampton, UK two 51 to 60
775 survived second female 54 1 3 23 Southampton, UK four 51 to 60
253 perished first male 62 0 0 26.55 Southampton, UK none 61 to 80
556 perished first male 62 0 0 26.55 Southampton, UK none 61 to 80
546 perished first male 64 0 0 26 Southampton, UK none 61 to 80
457 perished first male 65 0 0 26.55 Southampton, UK none 61 to 80
34 perished second male 66 0 0 10.5 Southampton, UK none 61 to 80
673 perished second male 70 0 0 10.5 Southampton, UK none 61 to 80
852 perished third male 74 0 0 7.775 Southampton, UK none 61 to 80
746 perished first male 70 1 1 71 Southampton, UK two 61 to 80
439 perished first male 64 1 4 263 Southampton, UK five 61 to 80
631 survived first male 80 0 0 30 Southampton, UK none 61 to 80
571 survived second male 62 0 0 10.5 Southampton, UK none 61 to 80
484 survived third female 63 0 0 9.5875 Southampton, UK none 61 to 80
276 survived first female 63 1 0 77.9583 Southampton, UK one 61 to 80
169 perished first male unknown 0 0 25.925 Southampton, UK none unknown
186 perished first male unknown 0 0 50 Southampton, UK none unknown
271 perished first male unknown 0 0 31 Southampton, UK none unknown
285 perished first male unknown 0 0 26 Southampton, UK none unknown
352 perished first male unknown 0 0 35 Southampton, UK none unknown
476 perished first male unknown 0 0 52 Southampton, UK none unknown
528 perished first male unknown 0 0 221.7792 Southampton, UK none unknown
603 perished first male unknown 0 0 42.4 Southampton, UK none unknown
634 perished first male unknown 0 0 0 Southampton, UK none unknown
712 perished first male unknown 0 0 26.55 Southampton, UK none unknown
816 perished first male unknown 0 0 0 Southampton, UK none unknown
278 perished second male unknown 0 0 0 Southampton, UK none unknown
414 perished second male unknown 0 0 0 Southampton, UK none unknown
467 perished second male unknown 0 0 0 Southampton, UK none unknown
482 perished second male unknown 0 0 0 Southampton, UK none unknown
675 perished second male unknown 0 0 0 Southampton, UK none unknown
733 perished second male unknown 0 0 0 Southampton, UK none unknown
30 perished third male unknown 0 0 7.8958 Southampton, UK none unknown
46 perished third male unknown 0 0 8.05 Southampton, UK none unknown
77 perished third male unknown 0 0 7.8958 Southampton, UK none unknown
78 perished third male unknown 0 0 8.05 Southampton, UK none unknown
88 perished third male unknown 0 0 8.05 Southampton, UK none unknown
96 perished third male unknown 0 0 8.05 Southampton, UK none unknown
102 perished third male unknown 0 0 7.8958 Southampton, UK none unknown
122 perished third male unknown 0 0 8.05 Southampton, UK none unknown
155 perished third male unknown 0 0 7.3125 Southampton, UK none unknown
159 perished third male unknown 0 0 8.6625 Southampton, UK none unknown
224 perished third male unknown 0 0 7.8958 Southampton, UK none unknown
236 perished third female unknown 0 0 7.55 Southampton, UK none unknown
251 perished third male unknown 0 0 7.25 Southampton, UK none unknown
305 perished third male unknown 0 0 8.05 Southampton, UK none unknown
336 perished third male unknown 0 0 7.8958 Southampton, UK none unknown
385 perished third male unknown 0 0 7.8958 Southampton, UK none unknown
411 perished third male unknown 0 0 7.8958 Southampton, UK none unknown
416 perished third female unknown 0 0 8.05 Southampton, UK none unknown
426 perished third male unknown 0 0 7.25 Southampton, UK none unknown
455 perished third male unknown 0 0 8.05 Southampton, UK none unknown
465 perished third male unknown 0 0 8.05 Southampton, UK none unknown
471 perished third male unknown 0 0 7.25 Southampton, UK none unknown
498 perished third male unknown 0 0 15.1 Southampton, UK none unknown
512 perished third male unknown 0 0 8.05 Southampton, UK none unknown
539 perished third male unknown 0 0 14.5 Southampton, UK none unknown
564 perished third male unknown 0 0 8.05 Southampton, UK none unknown
565 perished third female unknown 0 0 8.05 Southampton, UK none unknown
590 perished third male unknown 0 0 8.05 Southampton, UK none unknown
602 perished third male unknown 0 0 7.8958 Southampton, UK none unknown
612 perished third male unknown 0 0 7.05 Southampton, UK none unknown
649 perished third male unknown 0 0 7.55 Southampton, UK none unknown
651 perished third male unknown 0 0 7.8958 Southampton, UK none unknown
657 perished third male unknown 0 0 7.8958 Southampton, UK none unknown
668 perished third male unknown 0 0 7.775 Southampton, UK none unknown
739 perished third male unknown 0 0 7.8958 Southampton, UK none unknown
740 perished third male unknown 0 0 7.8958 Southampton, UK none unknown
761 perished third male unknown 0 0 14.5 Southampton, UK none unknown
827 perished third male unknown 0 0 56.4958 Southampton, UK none unknown
838 perished third male unknown 0 0 8.05 Southampton, UK none unknown
869 perished third male unknown 0 0 9.5 Southampton, UK none unknown
879 perished third male unknown 0 0 7.8958 Southampton, UK none unknown
452 perished third male unknown 1 0 19.9667 Southampton, UK one unknown
491 perished third male unknown 1 0 19.9667 Southampton, UK one unknown
640 perished third male unknown 1 0 16.1 Southampton, UK one unknown
784 perished third male unknown 1 2 23.45 Southampton, UK three unknown
889 perished third female unknown 1 2 23.45 Southampton, UK three unknown
177 perished third male unknown 3 1 25.4667 Southampton, UK four unknown
230 perished third female unknown 3 1 25.4667 Southampton, UK four unknown
410 perished third female unknown 3 1 25.4667 Southampton, UK four unknown
486 perished third female unknown 3 1 25.4667 Southampton, UK four unknown
160 perished third male unknown 8 2 69.55 Southampton, UK ten unknown
181 perished third female unknown 8 2 69.55 Southampton, UK ten unknown
202 perished third male unknown 8 2 69.55 Southampton, UK ten unknown
325 perished third male unknown 8 2 69.55 Southampton, UK ten unknown
793 perished third female unknown 8 2 69.55 Southampton, UK ten unknown
847 perished third male unknown 8 2 69.55 Southampton, UK ten unknown
864 perished third female unknown 8 2 69.55 Southampton, UK ten unknown
56 survived first male unknown 0 0 35.5 Southampton, UK none unknown
299 survived first male unknown 0 0 30.5 Southampton, UK none unknown
508 survived first male unknown 0 0 26.55 Southampton, UK none unknown
741 survived first male unknown 0 0 30 Southampton, UK none unknown
18 survived second male unknown 0 0 13 Southampton, UK none unknown
597 survived second female unknown 0 0 33 Southampton, UK none unknown
108 survived third male unknown 0 0 7.775 Southampton, UK none unknown
445 survived third male unknown 0 0 8.1125 Southampton, UK none unknown
644 survived third male unknown 0 0 56.4958 Southampton, UK none unknown
693 survived third male unknown 0 0 56.4958 Southampton, UK none unknown
167 survived first female unknown 0 1 55 Southampton, UK one unknown
335 survived first female unknown 1 0 133.65 Southampton, UK one unknown
458 survived first female unknown 1 0 51.8625 Southampton, UK one unknown
670 survived first female unknown 1 0 52 Southampton, UK one unknown
348 survived third female unknown 1 0 16.1 Southampton, UK one unknown
432 survived third female unknown 1 0 16.1 Southampton, UK one unknown
62 survived first female 38 0 0 80 unknown none 31 to 40
830 survived first female 62 0 0 80 unknown none 61 to 80
Raw
tita_style.css
/* This is a CSS comment.*/
*{
-webkit-box-sizing: border-box;
-moz-box-sizing: border-box;
-ms-box-sizing: border-box;
box-sizing: border-box;
}
.title {
font-family: "Open Sans", sans-serif;
font-size: 8px;
padding: 1px;
color: white;
background-color:#99c0db;
}
.description {
font-family: "Open Sans", sans-serif;
font-size: medium;
margin: 15px;
}
.svg_Container {
margin: auto;
padding-left: 25px;
}
.closer {
font-family: "Open Sans", sans-serif;
font-size: 8px;
padding: 1px;
color: white;
background-color:#fb998e;
text-align: right;
}
ul {
list-style-type: none;
margin: 0;
padding: 5px;
overflow: hidden;
background-color: #333;
width: 100%;
}
li {
font-family: "Open Sans", sans-serif;
font-size: 16px;
color: white;
float: left;
border-right: 1px solid #bbb;
padding-left: 10px;
padding-right: 30px;
}
li:last-child {
border-right: none;
}
li a {
display: block;
color: white;
text-align: center;
padding: 14px 16px;
text-decoration: none;
}
li a:hover:not(.active) {
background-color: #111;
}
.active {
background-color: #4CAF50;
}
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