jalapic.github.io/tennis1.html at master · bigdata-vis/jalapic.github.io · GitHub

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<!DOCTYPE html>
<meta charset="utf-8">
<style>

svg {
  font: 10px sans-serif;
}

.axis path,
.axis line {
  fill: none;
  stroke: #000;
  shape-rendering: crispEdges;
}

.x.axis path {
  fill:none;
  stroke:#000;
  shape-rendering: crispEdges;
}

.axis text {
  font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif;
    font-size: 14px;

}


.line {
  fill: none;
  stroke-width: 2px;
}

h1{
  font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif;
  font-size: 22px;
  font-style: bold;

}

p{
  font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif;
  font-size: 12px;
}

div.tooltip {
position: absolute;
  text-align: left;
  width: 60px;
  height: 28px;
  padding: 2px;
  font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif;
  font-size: 14px;
  font-style: bold;
  color: darkblue;
  background: none;
  border: none;
  pointer-events: none;
}

</style>

<h1> Cumulative Grand Slams by Female Tennis Players</h1>
<br>
<br>


<body>
<script src="http://d3js.org/d3.v3.js"></script>
<script>


var margin = {top: 20, right: 80, bottom: 40, left: 50},
    width = 900 - margin.left - margin.right,
    height = 500 - margin.top - margin.bottom;


var x = d3.scale.linear()
    .range([0,width]);

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

var color = d3.scale.category10();

var xAxis = d3.svg.axis()
    .scale(x)
    .orient("bottom")
    .tickFormat(d3.format("d"));;

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

var line = d3.svg.line()
    .interpolate("basis")
    .x(function(d) { return x(d.date); })
    .y(function(d) { return y(d.titles); });

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

d3.csv("data/tennis1.csv", function(error, data) {


color.domain(d3.keys(data[0]).filter(function(key) { return key == "player"; }));

// get data into format
data = data.map( function (d) {
    return {
      player: d.player,
      date: +d.date,
      titles: +d.titles };
});


// nest data
  data = d3.nest().key(function(d) { return d.player; }).entries(data);


  x.domain([d3.min(data, function(d) { return d3.min(d.values, function (d) { return d.date; }); }),
             d3.max(data, function(d) { return d3.max(d.values, function (d) { return d.date; }); })]);


  y.domain([0, d3.max(data, function(d) { return d3.max(d.values, function (d) { return d.titles; }); })]);


// Define the div for the tooltip
var div = d3.select("body").append("div")
    .attr("class", "tooltip")
    .style("opacity", 0);


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

  svg.append("g")
      .attr("class", "y axis")
      .call(yAxis);

  var cities = svg.selectAll(".player")
      .data(data, function(d) { return d.key; })
    .enter().append("g")
      .attr("class", "player");


  cities.append("path")
      .attr("class", "line")
      .attr("d", function(d) { return line(d.values); })
      .style("stroke", function(d) { return color(d.key); })

      //;


          .on("mouseover", function(d) {
                d3.select(this)
                .style("stroke", 'darkblue')
                .style("stroke-width", '4px');
           div.transition()
                .duration(200)
                .style("opacity", .9);
          div.html(d.key + "<br/>")
                .style("left", (d3.event.pageX+12) + "px")
                .style("top", (d3.event.pageY-60) + "px");
    })

       .on("mouseout", function(d) {
                 d3.select(this)
                .style("stroke", function(d) { return color(d.key); })
                .style("stroke-width", '2px')
                  div.transition()
                      .duration(500)
                      .style("opacity", 0);
        });


// text label for the x axis
svg.append("text")
        .attr("x", width / 2 )
        .attr("y",  height + (margin.bottom/1))
       // .attr("style","font-size:16px;")
        .attr("style","font-size:16px; font-weight: bold;") // to bold title
        .style("text-anchor", "middle")
        .text("Year");


// Add the text label for the Y axis
    svg.append("text")
        .attr("transform", "rotate(-90)")
        .attr("y", 0 - margin.left)
        .attr("x",0 - (height / 2))
        .attr("dy", "1em")
       // .attr("style","font-size:16px;")
        .attr("style","font-size:16px; font-weight: bold;") // to bold title
        .style("text-anchor", "middle")
        .text("Cumulative Grand Slams");


});


</script>

<br>
<p>A quick <a href="http://d3js.org/">d3.js</a> visualization of the cumulative increase in grand slams by female tennis players.   Once a player starts to dominate their rise in dominance over other players is incredible. </p>


<p> If I was to invest more time in this, I would certainly improve the tooltip to include more information about tournaments won and nationality.  I could also make dots on the line to give more information about the grand slam won (e.g. opponent, score).  This quick visualization gives a good impression though of the data trends. Code and data are  <a href="https://github.com/jalapic/jalapic.github.io">available here </a>. Please get in touch via twitter - <a href="https://twitter.com/jalapic">@jalapic</a> </p>