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bank-dss-mvp.html
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bank-dss-mvp.html
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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>DSS bank marketing</title>
<script type="text/javascript" src="http://mbostock.github.com/d3/d3.js?2.6.0"></script>
<script src="http://labratrevenge.com/d3-tip/javascripts/d3.tip.v0.6.3.js"></script>
<link rel="stylesheet" href="http://yui.yahooapis.com/pure/0.5.0/pure-min.css">
<style type="text/css">
body {
font-family: 'Segoe UI', Frutiger, 'Frutiger Linotype', 'Dejavu Sans', 'Helvetica Neue', Arial, sans-serif;
font-size: 11px;
margin-left:20px;
margin-right:20px;
margin-top:20px;
margin-bottom:20px;
}
.bar rect {
fill: steelblue;
}
.bar rect:hover {
fill: brown ;
}
.bar text.value {
fill: white;
}
.axis {
shape-rendering: crispEdges;
}
.axis path {
fill: none;
}
.x.axis line {
stroke: #fff;
stroke-opacity: .8;
}
.y.axis path {
stroke: black;
}
/*Tips format*/
.d3-tip {
line-height: 1;
font-weight: bold;
padding: 12px;
background: rgba(0, 0, 0, 0.8);
color: #fff;
border-radius: 2px;
}
/* Creates a small triangle extender for the tooltip */
.d3-tip:after {
box-sizing: border-box;
display: inline;
font-size: 10px;
width: 100%;
line-height: 1;
color: rgba(0, 0, 0, 0.8);
content: "\25BC";
position: absolute;
text-align: center;
}
/* Style northward tooltips differently */
.d3-tip.n:after {
margin: -1px 0 0 0;
top: 100%;
left: 0;
}
aside {
background: #4682B4;
padding: 0.3em 1em;
border-radius: 3px;
color: #fff;
font-size: 20px;
}
</style>
</head>
<body>
<script type="text/javascript">
//Define variable nrows
var $_GET = {};
document.location.search.replace(/\??(?:([^=]+)=([^&]*)&?)/g, function () {
function decode(s) {
return decodeURIComponent(s.split("+").join(" "));
}
$_GET[decode(arguments[1])] = decode(arguments[2]);
});
if(typeof $_GET['nrows'] === 'undefined') {
var nrows = 200;
}
else {
var nrows = $_GET['nrows'];
}
</script>
<aside><i>Decision Support System</i> for bank marketing calls</aside>
<br/><br/><br/>
<table id='today' class="pure-table">
<thead><tr align='center'><td><b>Rows to display</b></td><td><b>Call day</b></td><td><b>Social and economic context indicators</b></td></thead>
<tbody><tr><td>
<form action="bank-dss-mvp.html" method="get">
<input type="text" name="nrows" id='nrows'><br/>
<p align='center'><input type="submit" value="Update"></p>
</form>
</td><td>
<table>
<tr><td><div id="option_day">
<label for="select_day">Day of the week</label></td><td>
<select type='select' onchange='updateData(value);' style='color:steelblue;font-size:1.1em;' name='select_day' id='select_day'>
<option value='1' name='mon' selected='true' >Monday</option>
<option value='2' name='tue'>Tuesday</option>
<option value='3' name='wed'>Wednesday</option>
<option value='4' name='thu'>Thursday</option>
<option value='5' name='fri'>Friday</option>
</select>
</div>
</td></tr><tr><td>
<div id="option"></br></br>
<label for="select_month">Month</label></td><td></br></br>
<select type='select' onchange='updateData(value);' style='color:steelblue;font-size:1.1em;' name='select_month' id='select_month'>
<option value='1' name='Jan' selected='true' >January</option>
<option value='2' name='Feb'>February</option>
<option value='3' name='Mar'>March</option>
<option value='4' name='Apr'>April</option>
<option value='5' name='May'>May</option>
<option value='6' name='Jun'>June</option>
<option value='7' name='Jul'>July</option>
<option value='8' name='Aug'>August</option>
<option value='9' name='Sep'>September</option>
<option value='10' name='Oct'>October</option>
<option value='11' name='Nov'>November</option>
<option value='12' name='Dec'>December</option>
</select>
</div>
</td></tr></table>
</td><td>
<table>
<tr><td>Employment variation rate % </td><td><input type="number" min="-10" max="10" step="1" value="-2" id="emp_var_rate"><br/></td></tr>
<tr><td>Consumer price index % </td><td><input type="number" min="85" max="100" step="2" value="93" id="cons_price_idx"><br/></td></tr>
<tr><td>Consumer confidence index % </td><td><input type="number" min="-75" max="50" step="5" value="-25" id="cons_conf_idx"><br/></td></tr>
<tr><td>Euribor 3 month rate % </td><td><input type="number" min="0" max="15" step="0.2" value="0.2" id="euribor3m"><br/></td></tr>
<tr><td>Number of employees </td><td><input type="number" min="4500" max="5500" step="100" value="4900" id="nr_employed"><br/></td></tr>
</table>
</td></tr>
</tbody></table>
<p><i><a href="https://github.com/gabll/Metis-McNulty/blob/master/bank_model_selection.ipynb">Model details and evaluation</a></i></p>
<br/>
<script type="text/javascript">
document.getElementById('nrows').value = nrows
//code for the tip
var tip = d3.tip()
.attr('class', 'd3-tip')
.offset(function() {return [0, this.getBBox().width / 2 - 150]})
.html(function(d) {
return "<strong>Client name:</strong> <span style='color:red'>" + d.client_name + "</span>" + "<br/>" +
"<strong>Account:</strong> <span style='color:red'>" + d.account_code + "</span>" + "<br/>" +
"<strong>Job:</strong> <span style='color:red'>" + d.job + "</span>" + "<br/>" +
"<strong>Age:</strong> <span style='color:red'>" + Math.round(d.age) + "</span>" + "<br/>" +
"<strong>Marital status:</strong> <span style='color:red'>" + d.marital + "</span>" + "<br/>" +
"<strong>Education:</strong> <span style='color:red'>" + d.education + "</span>" + "<br/>" +
"<strong>Default:</strong> <span style='color:red'>" + d.default_yn + "</span>" + "<br/>" +
"<strong>Housing:</strong> <span style='color:red'>" + d.housing + "</span>" + "<br/>" +
"<strong>Loan:</strong> <span style='color:red'>" + d.loan + "</span>" + "<br/>" +
"<strong>Contact:</strong> <span style='color:red'>" + d.contact + "</span>" + "<br/>" +
"<strong>Subscribed before:</strong> <span style='color:red'>" + d.poutcome_success + "</span>" + "<br/>" +
"<strong>Calls in this campaign:</strong> <span style='color:red'>" + d.campaign + "</span>" + "<br/>" +
"<strong>Days from last campaign:</strong> <span style='color:red'>" + d.pdays + "</span>" + "<br/>";
})
//build the canvas
var m = [40, 10, 10, 100],
w = 960 - m[1] - m[3],
h = Math.round(nrows*2910/200) - m[0] - m[2];
var x = d3.scale.linear().range([0, w]),
y = d3.scale.ordinal().rangeBands([0, h], .1);
var xAxis = d3.svg.axis().scale(x).orient("top").tickSize(-h).tickFormat(d3.format("%")),
yAxis = d3.svg.axis().scale(y).orient("left").tickSize(0);
var svg = d3.select("body").append("svg")
.attr("width", w + m[1] + m[3])
.attr("height", h + m[0] + m[2])
.append("g")
.attr("transform", "translate(" + m[3] + "," + m[0] + ")");
svg.call(tip);
//load data
var df;
d3.csv("bank.csv", function(data) {
// Parse numbers, and sort by value.
data.forEach(function(d) { d.test_prediction = +d.test_prediction; d.pdays = 5;});
data.sort(function(a, b) { return b.test_prediction - a.test_prediction; });
df = data
data = data.slice(0,nrows)
// Set the scale domain.
x.domain([0, d3.max(data, function(d) { return d.test_prediction; })]);
y.domain(data.map(function(d) { return d.client_name; }));
var bar = svg.selectAll("g.bar")
.data(data)
.enter().append("g")
.attr("class", "bar")
.attr("transform", function(d) { return "translate(0," + y(d.client_name) + ")"; });
bar.append("rect")
.attr("width", function(d) { return x(d.test_prediction); })
.attr("height", y.rangeBand())
.on('mouseover', tip.show)
.on('mouseout', tip.hide);
bar.append("text")
.attr("class", "value")
.attr("x", function(d) { return x(d.test_prediction); })
.attr("y", y.rangeBand() / 2)
.attr("dx", -3)
.attr("dy", ".35em")
.attr("text-anchor", "end")
.text(function(d) { return ((d.test_prediction*100).toFixed(1)).concat(' %'); });
svg.append("g")
.attr("class", "x axis")
.call(xAxis);
svg.append("text")
.attr("transform", "translate(" + (w / 2) + " ," + -23 + ")")
.style("text-anchor", "middle")
.style("font-weight", "bold")
.style("font-size", "12px")
.text("Short term deposit subcription probability");
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
});
//update data from combobox onChange DAY
function updateData(value) {
df_updated = df
df_updated.forEach(function(d) {d.test_prediction = get_probability(d); });
df_updated.forEach(function(d) { d.test_prediction = +d.test_prediction; });
df_updated.sort(function(a, b) { return b.test_prediction - a.test_prediction; });
df_updated = df_updated.slice(0,nrows)
x.domain([0, d3.max(df_updated, function(d) { return d.test_prediction; })]);
y.domain(df_updated.map(function(d) { return d.client_name; }));
// Select the section we want to apply our changes to
var trans = d3.select("body").transition();
// Make the changes
var transition = svg.transition().duration(750),
delay = function(d, i) { return i * 50; };
svg.selectAll("g.bar")
.data(df_updated)
.transition().delay(2000)
.attr("x", function(d) { return x(d.client_name); })
.attr("y", function(d) { return y(d.test_prediction); })
.attr("width", function(d) { return w - y(d.test_prediction); });
svg.selectAll("rect")
.data(df_updated)
.transition().duration(750)
.attr("width", function(d) { return x(d.test_prediction); });
transition.select(".x.axis") // change the x axis
.call(xAxis);
transition.select(".y.axis") // change the y axis
.call(yAxis);
svg.selectAll("text")
.data(df_updated)
.transition().duration(750)
.attr("class", "value")
.attr("x", function(d) { return x(d.test_prediction);})
.attr("y", y.rangeBand() / 2)
.attr("dx", -3)
.attr("dy", ".35em")
.attr("text-anchor", "end")
.text(function(d) { return ((d.test_prediction*100).toFixed(1)).concat(' %'); });
};
//returns probability according to the logitic regression model fitted in Python
function get_probability(point) {
var log_reg_coefs = [0.0011016183109892109, -0.044565012772232335, -0.0015631534416460651, -0.11968648165583792, -0.25605687024727702, 0.35523061757085284, 0.014408911697206015, -0.05153833797023917, -0.0065358960210990368, 0.0043423572552668327, -0.12709109833791202, -0.025535377463446932, -0.040960567817450395, -0.0359486979686644, 0.19357763109444107, 0.0085203235116412066, -0.097865651614468682, 0.12863113620836045, -0.0077462000438875784, 0.010268392228875906, -0.047482844373541791, -0.026253240761155296, 0.075047463663090869, -0.038564102833537596, -0.010625171558286952, -0.068147658889743251, -0.010717919282721399, 0.0078372215194839352, 0.037353697761519609, 0.04641240646243705, 0.22830655138856448, -0.00063213743354162443, 0.029722148176762699, -0.032666460290451629, 0.027612032150953206, -0.030556344264636954, 0.42502412943962015, 0.024104847195686497, 0.06473918462332505, 0.051660060952860368, 0.28100530477710628, 0.1199884600128575, 0.37279230980191352, -0.66599781966919736, -0.16952068249583097, 0.005341902862758232, -0.08173989615499011, 0.0067064528290420485, -0.23783008968254743, 0.0707100523472739, 0.022165136189618195, 0.1406221202231018, -0.23694374330683804, 0.18363463164275992, 0.055682783570553868];
var log_reg_intercept = 0.00237367;
var coord = [point.age,
point.campaign,
5,
point.previous,
document.getElementById('emp_var_rate').value,
document.getElementById('cons_price_idx').value,
document.getElementById('cons_conf_idx').value,
document.getElementById('euribor3m').value,
document.getElementById('nr_employed').value,
point.job_admin,
point.job_blue_collar,
point.job_entrepreneur,
point.job_housemaid,
point.job_management,
point.job_retired,
point.job_self_employed,
point.job_services,
point.job_student,
point.job_technician,
point.job_unemployed,
point.marital_divorced,
point.marital_married,
point.marital_single,
point.education_basic_4y,
point.education_basic_6y,
point.education_basic_9y,
point.education_high_school,
point.education_illiterate,
point.education_professional_course,
point.education_university_degree,
point.default_yn_no,
point.default_yn_yes,
point.housing_no,
point.housing_yes,
point.loan_no,
point.loan_yes,
point.contact_cellular,
get_month(4),
get_month(8),
get_month(12),
get_month(7),
get_month(6),
get_month(3),
get_month(5),
get_month(11),
get_month(10),
get_month(9),
get_day(5),
get_day(1),
get_day(4),
get_day(2),
get_day(3),
point.poutcome_failure,
point.poutcome_nonexistent,
point.poutcome_success];
var sum = 0;
for(var i=0; i< coord.length; i++) {
sum += log_reg_coefs[i]*coord[i];
}
return 1/(1+Math.exp(-(log_reg_intercept + sum)));
};
//returns 1 if the month is the same of the option combobox
function get_month(month) {
if (month == document.getElementById('select_month').value) { return 1;} else { return 0;};
}
//returns 1 if the day is the same of the option combobox
function get_day(day) {
if (day == document.getElementById('select_day').value) { return 1;} else { return 0;};
}
//update emp_var_rate
d3.select("#emp_var_rate").on("input", function() {
updateData(+this.value);
});
//update cons_price_idx
d3.select("#cons_price_idx").on("input", function() {
updateData(+this.value);
});
//update cons_conf_idx
d3.select("#cons_conf_idx").on("input", function() {
updateData(+this.value);
});
//update euribor3m
d3.select("#euribor3m").on("input", function() {
updateData(+this.value);
});
//update nr_employed
d3.select("#nr_employed").on("input", function() {
updateData(+this.value);
});
</script>
</body>
</html>