National Day of Civic Hacking: Learning D3.js (part 1)

Project 1 Part 1

Remix a visualization

Link to original image: /jay-oh-en/9233f6d414461ea0046b

Original data set can be found here https://www.kaggle.com/c/march-machine-learning-mania-2016/data

<!DOCTYPE html> 
<html>
<head>
  <meta charset="utf-8">
  <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.12/d3.min.js"></script>
    <style>
      body {
        font-family: futura;
      }

h2.title {
        color: black;
        text-align: center;
      }

.axis {
        font-family: arial;
        font-size: 0.8em; 
      }

text {
        fill: black;
        stroke: none;
      }

.label {
        font-size: 2em;
      }

path {
        fill: none;
        stroke: black;
        stroke-width: 2px;
      }

.tick {
        fill: none;
        stroke: black;
      }

.bar {
        opacity: 0.9;
        stroke: none;
        fill: steelblue;
      }
    </style>

function draw(data) {
          "use strict";
          debugger;
          // set margins according to Mike Bostock's margin conventions
          // https://bl.ocks.org/mbostock/3019563
          var margin = {top: 25, right: 40, bottom: 100, left: 75};

// set height and width of chart
          var width = 960 - margin.left - margin.right,
              height = 500 - margin.top - margin.bottom;

var barPadding = 10;

// specify the radius of our circles and the
          // column we want to plot
          var field = 'Score_Differential';   
        
          // Append the title for the graph
          d3.select("body")
              .append("h2")
              .text("March Madness Median Score Differential")   
              .attr('class', 'title');

// append the SVG tag with height and width to accommodate for margins
          var svg = d3.select("body")
                      .append("svg")
                          .attr("width", width + margin.left + margin.right)
                          .attr("height", height + margin.top + margin.bottom)
                      .append('g')
                          .attr('class','chart')
                          .attr("transform", "translate(" + margin.left + "," + margin.top + ")");

// remove missing values
          data = data.filter(function(d) {
            return d[field];
          });

// bind our data to svg rects for the bar plot
          svg.selectAll(".bar")
              .data(data)
              .enter()
              .append("rect")
                .attr('class', 'bar')

// maximum points for diff
            var max_y = d3.max(data, function(d) {
                return +d[field];
            });

// get min/max dates
            var time_extent = d3.extent(data, function(d){
                return format.parse(d['Season']);
            });

// Create x-axis scale mapping dates -> pixels
            var time_scale = d3.time.scale()
                .range([0, width])
                .domain(time_extent);

// Create y-axis scale mapping price -> pixels
            var measure_scale = d3.scale.linear()
                .range([height, 0])
                .domain([0, max_y]);

// Create D3 axis object from time_scale for the x-axis
            var time_axis = d3.svg.axis()
                .scale(time_scale)
                .tickFormat(d3.time.format("%Y"));

// Create D3 axis object from measure_scale for the y-axis
            var measure_axis = d3.svg.axis()
                .scale(measure_scale)
                .orient("left");

// Append SVG to page corresponding to the D3 x-axis
            svg.append('g')
                .attr('class', 'x axis')
                .attr('transform', "translate(0," + height + ")")
                .call(time_axis);

// Append SVG to page corresponding to the D3 y-axis
            svg.append('g')
                .attr('class', 'y axis')
                .call(measure_axis);

// add label to y-axis
            var y_label = d3.select(".y.axis")
                .append("text")
                .attr('class', 'label')
                .text("Points")
            		.style('font-size', '1.5em')
                .attr("transform", "rotate(-90)");
      
      			// center y axis label
      			y_label.attr("x", -(height / 2)).attr('y', -40)
            	.style("text-anchor", "middle");
        
            // based on the data bound to each svg rect,
            // change its x, y, width, height accordingly
            d3.selectAll('.bar')
                .attr('x', function(d) {
                    return time_scale(format.parse(d['Season']));
                })
                .attr('width', function(d) {
                    return width / data.length - barPadding;
                })
                .attr('y', function(d) {
                    return measure_scale(+d[field]);
                })
                .attr('height', function(d) {
                    return height - measure_scale(+d[field]);
                });
        };

d3.csv("https://raw.githubusercontent.com/KirkHunter/KirkHunter.github.io/master/tourney_data.csv", draw);
      </script>
  </head>
  <body>
    <script type="text/javascript">
    // load our data file asynchronously and pass the data
    // to the draw function once it is loaded.
    // d3.csv("https://raw.githubusercontent.com/KirkHunter/KirkHunter.github.io/master/tourney_data.csv", draw);
    </script>
  </body>
</html>

https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.12/d3.min.js