D3 Examples - octavio - assignment 4

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<!DOCTYPE html>
<html lang="en">
    <head>
        <meta charset="utf-8">
        <title>Loading CSV Data with D3</title>
        <script type="text/javascript" src="https://d3js.org/d3.v3.min.js"></script>
        
        <style type="text/css">
            
            body {
                background-color: #ffffff;
            }
​
            svg {
                background-color: white;
            }
            
            .axis path,
            .axis line {
                fill: none;
                stroke: black;
                shape-rendering: crispEdges;
            }
            
            .axis text {
                font-family: sans-serif;
                font-size: 11px;
            }
            rect:hover {
                fill: #adff2f;
            }
            
            .y.axis path,
            .y.axis line {
                opacity: 0;
            }
​
        </style>
        
    </head>
    <body>
        <h1>Some databases used to test different machine learning algorithms</h1>
        <p>In machine learning there are many types of classifiers. A performance evaluation
        of 179 classifiers using 121 datasets was performed </p>
        <p>All information can be found here:
        https://machinelearningmastery.com/use-random-forest-testing-179-classifiers-121-datasets/</p>
        
​
        <script type="text/javascript">     
            
            var w=1000;
            var h=1300;
            var padding=[20, 10, 20, 200];
            
            var widthScale = d3.scale.linear()
                                .range([0, w-padding[1]-padding[3] ]);
            var heightScale = d3.scale.ordinal()
                                .rangeRoundBands([padding[0],h-padding[2] ], 0.1);
            
            var xAxis = d3.svg.axis()
                            .scale(widthScale)
                            .orient("bottom");
            
            var yAxis = d3.svg.axis()
                            .scale(heightScale)
                            .orient("left");
            
            var svg = d3.select("body")
                        .append("svg")
                        .attr("width", w)
                        .attr("height", h);
            
            //Load in contents of CSV file
            d3.csv("123 datasets.csv", function(data) {
                
            data.sort(function(a,b){
                return d3.descending(+a.nVars,+b.nVars);
            });
                
            widthScale.domain([0, d3.max(data, function(d){
                return +d.nVars;
            }) ]);
                
            heightScale.domain(data.map(function(d) { return d.RelationName; } ));
​
            rect=svg.selectAll("rect")
            .data(data)
            .enter()
            .append("rect")
            
            rect.attr("y",function(d){
                return heightScale(d.RelationName);
            })
            .attr("height",heightScale.rangeBand())
            .attr("x",padding[3])
            .attr("width",function(d){
                return widthScale(d.nVars);
            })
            .attr("fill","green")
            .append("title")
            .text(function(d){
                return d.RelationName + "'s study used " + d.nVars + " features";
            })
            
                svg.append("g")
                    .attr("class", "x axis")
                    .attr("transform", "translate(" + padding[3] + "," + (h - padding[2]) + ")")
                    .call(xAxis);
                
                    svg.append("g")
                    .attr("class", "y axis")
                    .attr("transform", "translate(" + (padding[3] - 5) + ",0)")
                    .call(yAxis);
​
            });
            
            d3.select("body")
            .append("p")
            .text("Each bar corresponds to an experiment (scroll over for experiment title) and the height of the bar corresponds to the number of features being studied in that experiment")
        </script>
​
    </body>
</html>
    