Visualizing Distributions

A few ways to visualize 1D distributions.

Swarm and pile plots show all the data points but can't be used when there are a lot of data points. Histograms and boxplots work for any number of data points since they are visualizing summary statistics. Histograms provide more information than a boxplot. Boxplots fit in small spaces, making them nice for comparing many distributions side-by-side.

Other chart types for 1D distributions: violin plot, kernel density, empirical CDF.

The d3.forceChart() plugin is used for the swarm and pile plots; d3.layout.histogram() for the histogram; d3.scale.quantile() for the quartile summary statistics used in the boxplot.

forked from armollica's block: Visualizing Distributions

<html>
  <head>
    <style>
      body { font-family: monospace; }
      .axis line,
      .axis path { fill: none; }
      .y.axis line { stroke: black; }
      .x.axis { 
        font-size: 16px;
        font-weight: bold; 
      }
    </style>
  </head>
  <body>
     <script src="https://d3js.org/d3.v3.min.js" charset="utf-8"></script>
     <script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.11.1/lodash.min.js"></script>
     <script src="force-chart.js"></script>
     <script>
       var margin = { top: 30, left: 50, bottom: 30, right: 10 },
           width = 960 - margin.left - margin.right,
           height = 500 - margin.top - margin.bottom;
       
       var chartTypes = ["Swarm", "Swarm2", "Histogram", "Boxplot"];
       
       var chartScale = d3.scale.ordinal()
            .domain(chartTypes)
            .rangeRoundBands([0, width], .3),
           barScale = d3.scale.linear()
            .range([0, chartScale.rangeBand()]),
           yScale = d3.scale.linear().range([height, 0]).nice();
       
       var xAxis = d3.svg.axis().scale(chartScale).orient("top"),
           yAxis = d3.svg.axis().scale(yScale).orient("left");
       
       var swarmChart = d3.forceChart()
        .padding(1)
        .x(0)
        .y(function(d) { return yScale(d.yVal); })
        .r(1.5)
        .xGravity(1/5)
        .yGravity(100)
        .draggable(false);
        
       var pileChart = d3.forceChart()
        .padding(1)
        .x(0)
        .y(function(d) { return yScale(d.yVal); })
        .r(1.5)
        .xGravity(function(d) { return d.x <= 0 ? 400 : 1/2; })
        .yGravity(100)
        .draggable(false);
       
       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 + ")");
       
       var data = d3.range(700)
          .map(function(i) { return { yVal: d3.random.logNormal(1, 0.5)() }; });
       
//        var parseDate = d3.timeParse("%Y-%m-%d");
       
       d3.csv("new_Violations.csv", function(error, data){
  data.map(function(d){console.log((d.violation_date.split(" ")[0]))})
}) 
       
       
       
       yScale.domain(d3.extent(data, function(d) { return d.yVal; }));
       
       // Draw axes
       svg.append("g").call(xAxis)
        .attr("class", "x axis");
       svg.append("g").call(yAxis)
        .attr("class", "y axis");
       
       // Draw swarm chart
       svg.append("g").call(swarmChart, _.cloneDeep(data))
          .attr("class", "swarm")
          .attr("transform", "translate(" + (chartScale("Swarm")  + chartScale.rangeBand()/2) + ",0)")
        .selectAll(".node").append("circle")
          .attr("r", function(d) { return d.r; });
          
       // Run for a bunch of ticks and freeze
       swarmChart.force().stop().start();
       for (var i = 0; i < 200; i++) { swarmChart.force().tick(); }
       swarmChart.force().stop();
       
       //Draw pile chart
       svg.append("g").call(pileChart, _.cloneDeep(data))
          .attr("class", "pile")
          .attr("transform", "translate(" + chartScale("Swarm2") + ",0)")
        .selectAll(".node").append("circle")
          .attr("r", function(d) { return d.r; });
          
       // Run for a bunch of ticks and freeze
       pileChart.force().stop().start();
       for (var i = 0; i < 500; i++) { pileChart.force().tick(); }
       pileChart.force().stop();
       
//        // Draw histogram
//        svg.append("g").call(pileChart, _.cloneDeep(data))
//           .attr("class", "pile")
//           .attr("transform", "translate(" + chartScale("Histogram") + ",0)")
//         .selectAll(".node").append("circle")
//           .attr("r", function(d) { return d.r; });
          
//        // Run for a bunch of ticks and freeze
//        pileChart.force().stop().start();
//        for (var i = 0; i < 500; i++) { pileChart.force().tick(); }
//        pileChart.force().stop();
       
//        // Draw boxplot
//        var boxWidth = 20;
//        svg.append("g").call(boxplot, data, boxWidth)
//         .attr("class", "boxplot")
//         .attr("transform", "translate(" + (chartScale("Boxplot") + chartScale.rangeBand()/2 - boxWidth/2) + ",0)");
        
      function histogram(selection, data) {
        
        var bins = yScale.ticks(25);
        
        var binnedData = d3.layout.histogram()
          .bins(bins)
          .value(function(d) { return d.yVal; })
          (data);
        
        barScale.domain([0, d3.max(binnedData, function(d) { return d.y; })]);
        
        var barHeight = yScale(bins[0]) - yScale(bins[1]),
            barPadding = 2;
        
        selection.selectAll(".bar").data(binnedData)
          .enter().append("rect")
            .attr("class", "bar")
            .attr("transform", function(d) {
              return "translate(0," + yScale(d.x) + ")"; 
            })
            .attr("y", barPadding - barHeight)
            .attr("height", barHeight - barPadding)
            .attr("width", function(d) { return barScale(d.y); });
      }
      
      function boxplot(selection, data, boxWidth) {
        
        var quartiles = d3.scale.quantile()
          .domain(data.map(function(d) { return d.yVal; }))
          .range(d3.range(4))
          .quantiles();
        
        var extent = d3.extent(data, function(d) { return d.yVal; });
        
        // Draw dashes
        selection.append("path").datum([
            [boxWidth/2, yScale(extent[1])],
            [boxWidth/2, yScale(extent[0])]
          ])
          .attr("d", d3.svg.line())
          .style("stroke", "black")
          .style("stroke-dasharray", "4, 10");
        
        // Draw box
        selection.append("rect")
          .attr("y", yScale(quartiles[2]))
          .attr("height", yScale(quartiles[0]) - yScale(quartiles[2]))
          .attr("width", boxWidth)
          .attr("fill", "white")
          .attr("stroke", "black");
        
        // Draw lines
        selection.selectAll("line").data([extent[1], quartiles[1], extent[0]])
          .enter().append("line")
            .attr("x2", boxWidth)
            .attr("y1", function(d) { return yScale(d); })
            .attr("y2", function(d) { return yScale(d); })
            .attr("stroke", "black");
        
        
      }
     </script>
  </body>
</html>

https://d3js.org/d3.v3.min.js

https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.11.1/lodash.min.js