Visualizing web page views using D3js

In this post I am going to show you a Data Visualization using web page view data which is the number of web page views in every month for the year 2014. I have downloaded the data in a csv format and after a bit of cleansing the data file, it looks as below.

[code]
“MonthName”,”PageViews”
“Jan”,”1646″
“Feb”,”1143″
“Mar”,”1643″
“Apr”,”1591″
“May”,”1645″
“Jun”,”2082″
“Jul”,”2633″
“Aug”,”3035″
“Sep”,”2882″
“Oct”,”2900″
“Nov”,”2780″
“Dec”,”2448″
[/code]

When it comes to load the data to your D3 project you can use the following preferred way.

For Json Data

[code language=”javascript”]
d3.json(“data.json”, function (data) {code…})
[/code]

For csv Data

[code language=”javascript”]
d3.csv(“data.csv”, function (data) {code…})
[/code]

For tsv Data

[code language=”javascript”]d3.tsv(“data.tsv”, function (data) {code…})[/code]

Here is the data visualization in a line chart and the complete code. [iframe width=”100%” height=”500″ src=”http://mund-consulting.com/Blog/mc-page-views-line-chart-tool-tip.html”].

[code language=”javascript”]
<script src=”http://d3js.org/d3.v3.min.js”></script>
<script src=”http://labratrevenge.com/d3-tip/javascripts/d3.tip.v0.6.3.js”></script>
<script>
var margin = { top: 40, right: 20, bottom: 30, left: 40 },
width = 900,
height = 400;

var x = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);

var y = d3.scale.linear()
.range([height, 0]);

var xAxis = d3.svg.axis()
.scale(x)
.orient(“bottom”);

var yAxis = d3.svg.axis()
.scale(y)
.orient(“left”);

var tip = d3.tip()
.attr(‘class’, ‘d3-tip’)
.offset([-10, 0])
.html(function (d) {
return “<strong>”+d.MonthName+”: </strong>
<span style=’color:black’>” + d.PageViews + “</span>”;
})

var svg = d3.select(“body”).append(“svg”)
.attr(“width”, width + margin.left + margin.right)
.attr(“height”, height + margin.top + margin.bottom)
.append(“g”)
.attr(“transform”, “translate(” + margin.left + “,” + margin.top + “)”);

svg.call(tip);

d3.csv(“mc_monthly_pageview_2014.csv”, function (error, data) {
x.domain(data.map(function (d) { return d.MonthName; }));
y.domain([0, d3.max(data, function (d) { return d.PageViews; })]);

svg.append(“g”)
.attr(“class”, “x axis”)
.attr(“transform”, “translate(0,” + height + “)”)
.call(xAxis);

svg.append(“g”)
.attr(“class”, “y axis”)
.call(yAxis)
.append(“text”)
.attr(“transform”, “rotate(-90)”)
.attr(“y”, 6)
.attr(“dy”, “.71em”)
.style(“text-anchor”, “end”)
.text(“Page Views”);

var line = d3.svg.line()
.x(function (d) { return x(d.MonthName); })
.y(function (d) { return y(d.PageViews); });

svg.selectAll(“path.line”)
.data(data)
.enter()
.append(“path”)
.attr(“class”, “line”)
.attr(“d”, line(data));

svg.selectAll(“circle”)
.data(data)
.enter().append(“circle”)
.attr(“class”, “dot”)
.attr(“cx”, function (d) { return x(d.MonthName); })
.attr(“cy”, function (d) { return y(d.PageViews); })
.attr(“r”, 4.5)
.on(‘mouseover’, tip.show)
.on(‘mouseout’, tip.hide);
});

</script>

[/code]

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