Homework 1

These visulizations are built on top of the Scatterplot and Bar chart examples presented on Piazza. This was originally forked from asielen's block: Reusable Line Chart v2, an implementation of a reusable responsive multiline chart, but it largely wasn't used

Contents:

Reusable modular design
Responsive design, chart size adjusts with screen size
Customizable options
- Chart Size
- Margins
- Div Selector
- Chart Colors
- Axis labels
Toggleable series (click on the legend to toggle series)

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

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

.dot {
  stroke: #000;
}

.tooltip {
  position: absolute;
  width: 200px;
  height: 28px;
  pointer-events: none;
}
</style>
<body>
<script src="https://d3js.org/d3.v4.min.js"></script>
  
<!--
<script>
var margin = {top: 20, right: 20, bottom: 30, left: 40},
    width = 960 - margin.left - margin.right,
    height = 500 - margin.top - margin.bottom;

/* 
 * value accessor - returns the value to encode for a given data object.
 * scale - maps value to a visual display encoding, such as a pixel position.
 * map function - maps from data value to display value
 * axis - sets up axis
 */

// setup x 
var xValue = function(d) { return d["Calories"]}, // data -> value
    xScale = d3.scaleLinear().range([0, width]), // value -> display
    xMap = function(d) { return xScale(xValue(d));}, // data -> display
    xAxis = d3.axisBottom().scale(xScale);

// setup y
var yValue = function(d) { return d["Protein (g)"];}, // data -> value
    yScale = d3.scaleLinear().range([height, 0]), // value -> display
    yMap = function(d) { return yScale(yValue(d));}, // data -> display
    yAxis = d3.axisLeft().scale(yScale);

// setup fill color
var cValue = function(d) { return d.Manufacturer;},
    color = d3.scaleOrdinal(d3.schemeCategory10);

// add the graph canvas to the body of the webpage
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 + ")");

// add the tooltip area to the webpage
var tooltip = d3.select("body").append("div")
    .attr("class", "tooltip")
    .style("opacity", 0);

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

// change string (from CSV) into number format
  data.forEach(function(d) {
    d["Calories"] = +d["Calories"];
    d["Protein (g)"] = +d["Protein (g)"];
//    console.log(d);
  });

// don't want dots overlapping axis, so add in buffer to data domain
  xScale.domain([d3.min(data, xValue)-1, d3.max(data, xValue)+1]);
  yScale.domain([d3.min(data, yValue)-1, d3.max(data, yValue)+1]);

// x-axis
  svg.append("g")
      .attr("class", "x axis")
      .attr("transform", "translate(0," + height + ")")
      .call(xAxis)
    .append("text")
      .attr("class", "label")
      .attr("x", width)
      .attr("y", -6)
      .style("text-anchor", "end")
      .text("Calories");

// y-axis
  svg.append("g")
      .attr("class", "y axis")
      .call(yAxis)
    .append("text")
      .attr("class", "label")
      .attr("transform", "rotate(-90)")
      .attr("y", 6)
      .attr("dy", ".71em")
      .style("text-anchor", "end")
      .text("Protein (g)");

// draw dots
  svg.selectAll(".dot")
      .data(data)
    .enter().append("circle")
      .attr("class", "dot")
      .attr("r", 3.5)
      .attr("cx", xMap)
      .attr("cy", yMap)
      .style("fill", function(d) { return color(cValue(d));}) 
      .on("mouseover", function(d) {
          tooltip.transition()
               .duration(200)
               .style("opacity", .9);
          tooltip.html(d["Cereal Name"] + "<br/> (" + xValue(d) 
	        + ", " + yValue(d) + ")")
               .style("left", (d3.event.pageX + 5) + "px")
               .style("top", (d3.event.pageY - 28) + "px");
      })
      .on("mouseout", function(d) {
          tooltip.transition()
               .duration(500)
               .style("opacity", 0);
      });

// draw legend
  var legend = svg.selectAll(".legend")
      .data(color.domain())
    .enter().append("g")
      .attr("class", "legend")
      .attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });

// draw legend colored rectangles
  legend.append("rect")
      .attr("x", width - 18)
      .attr("width", 18)
      .attr("height", 18)
      .style("fill", color);

// draw legend text
  legend.append("text")
      .attr("x", width - 24)
      .attr("y", 9)
      .attr("dy", ".35em")
      .style("text-anchor", "end")
      .text(function(d) { return d;})
});

</script>
-->
<!--  
<script>

// set the dimensions and margins of the graph
var margin = {top: 20, right: 20, bottom: 30, left: 40},
    width = 960 - margin.left - margin.right,
    height = 500 - margin.top - margin.bottom;

// set the ranges
var x = d3.scaleBand()
          .range([0, width])
          .padding(0.1);
var y = d3.scaleLinear()
          .range([height, 0]);
          
// append the svg object to the body of the page
// append a 'group' element to 'svg'
// moves the 'group' element to the top left margin
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 + ")");

// get the data
d3.csv("Table_2J.csv", function(error, data) {
  if (error) throw error;

// format the data
  data.forEach(function(d) {
    //d["Total income"] = +d["Total income"].slice(1)
      d["Total income"] = +Number(d["Total income"].replace(/[^0-9\.]+/g,""));
  });

// Scale the range of the data in the domains
  x.domain(data.map(function(d) { return d["Highest level completed"]; }));
  y.domain([0, d3.max(data, function(d) { return d["Total income"]; })]);

// append the rectangles for the bar chart
  svg.selectAll(".bar")
      .data(data)
    .enter().append("rect")
      .attr("class", "bar")
      .attr("x", function(d) { return x(d["Highest level completed"]); })
      .attr("width", x.bandwidth())
      .attr("y", function(d) { return y(d["Total income"]); })
      .attr("height", function(d) { return height - y(d["Total income"]); });
  
  //append the mean as a red dashed line
 var mean = d3.mean(data,function(d) { return y(d["Total income"])})
   
	svg.append("line")
  	.attr("x1", 0)
  	.attr("y1", mean)
		.attr("x2", width)
		.attr("y2", mean)
  	.style("stroke-dasharray", ("5, 5"))
		.attr("stroke-width", 3)
		.attr("stroke", "red");

// add the x Axis
  svg.append("g")
      .attr("transform", "translate(0," + height + ")")
      .call(d3.axisBottom(x));

// add the y Axis
  svg.append("g")
      .call(d3.axisLeft(y));

});

</script>
-->
     <button id="2AHisto" value="2AHisto">Average Income Histogram</button><button id="2JHisto">Median Income Histogram</button><br>
  <button id="2ALine" value="2ALine">Average Income Line</button><button id="2JLine">Median Income Line</button><br>
  <button id="2ABars" value="2ABars">Average Income, Earnings, months worked </button><button id="2JBars">Median Income, Earnings, months worked</button><br>
    <svg id="svg"></svg>
    <script type="text/javascript">
        d3.select("#2AHisto").on("click", function(d,i)
        {
            table2AHisto();
        })
        d3.select("#2JHisto").on("click", function(d,i)
        {
            table2JHisto();
        })
        d3.select("#2ALine").on("click", function(d,i)
        {
            table2ALine();
        })
        d3.select("#2JLine").on("click", function(d,i)
        {
            table2JLine();
        })
        d3.select("#2ABars").on("click", function(d,i)
        {
            table2ABars();
        })
        d3.select("#2JBars").on("click", function(d,i)
        {
            table2JBars();
        })

</script>
</body>
</html>

Modified http://d3js.org/d3.v4.min.js to a secure url

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