PaintClassifer Bar Chart

This is a modified bar chart template I used for my Painting Classifier passion project at Metis. For the application accompanying my artistic style classifier, I wanted to present a visualization that accurately conveyed the match score for each category in an easily-digestible format. The bar chart was one of the two formats I went with, the other being a radar chart.

Features include scaling y-axis, labels for x-axis, a tooltip with value and emphasis upon hover, and easily customizable background and bar colors.

Built with blockbuilder.org

forked from sjesupaul's block: PaintClassifer Bar Chart

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

body{
  background-color:black;
  fill:white;
  }
.bar {
  fill: #00A0B0;
}

.bar:hover {
  fill: #00A0B0;
  opacity: 0.45;
}

.axis--x path {
  display: none;
}

.toolTip {
/*         font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; */
        position: absolute;
        display: none;
        width: auto;
        height: auto;
        background: none repeat scroll 0 0 white;
        border: 0 none;
        border-radius: 8px 8px 8px 8px;
        box-shadow: -3px 3px 15px #888888;
        color: black;
        font: 12px sans-serif;
        padding: 5px;
        text-align: center;
    }
</style>
<body>
<svg width="1000" height="500"></svg>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>

var data = {"style":"abstract-expressionism"}
  var svg = d3.select("svg"),
      margin = {top: 20, right: 20, bottom: 30, left: 40},
      width = +svg.attr("width") - margin.left - margin.right,
      height = +svg.attr("height") - margin.top - margin.bottom;

var x = d3.scaleBand().rangeRound([0, width]).padding(0.1),
      y = d3.scaleLinear().rangeRound([height, 0]);

var g = svg.append("g")
      .attr("transform", "translate(" + margin.left + "," + margin.top + ")")
  		.style("stroke", "white");
	
  var tooltip = g.append("text")
		.attr("class", "tooltip")
		.style("opacity", 0);
  
      var div = d3.select("body").append("div").attr("class", "toolTip");

d3.tsv("data.tsv", function(d) {
     d.score = +d.score;
    return d;
  }, function(error, data) {
    if (error) throw error;

x.domain(data.map(function(d) { return d.style; }));
    y.domain([0, d3.max(data, function(d) { return d.score; })]);

g.append("g")
        .attr("class", "axis axis--x")
    		.attr("transform", "rotate(-90)")
        .attr("transform", "translate(0," + height + ")")
        .call(d3.axisBottom(x));

g.append("g")
        .attr("class", "axis axis--y")
        .call(d3.axisLeft(y).ticks(10, "%"))
    		.style("stroke", "white")
    
      .append("text")
        .attr("transform", "rotate(-90)")
        .attr("y", 6)
        .attr("dy", "0.71em")
        .attr("text-anchor", "end")
        .text("Score")
    		.style("stroke", "white");

g.selectAll(".bar")
      .data(data)
      .enter().append("rect")
        .attr("class", "bar")
        .attr("x", function(d) { return x(d.style); })
        .attr("y", function(d) { return y(d.score); })
        .attr("width", x.bandwidth())
        .attr("height", function(d) { return height - y(d.score); })
      	.on("mousemove", function(d){
                div.style("left", d3.event.pageX+10+"px");
                div.style("top", d3.event.pageY-25+"px");
                div.style("display", "inline-block");
                div.html((Math.round(d.score*100))+"%");
            })
      	.on("mouseout", function(d){
                div.style("display", "none");
         });
  });
</script>
  
</body>

https://d3js.org/d3.v4.min.js