S18 - HW 3 - Bar Chart

CS 725/825 - Spring 2018 - Homework 3 - Bar Chart

See the assignment instructions at http://www.cs.odu.edu/~mweigle/CS725-S18/HW3

Explanation of how the bar chart is constructed (for the most part) is available at https://bost.ocks.org/mike/bar/3/

Other helpful links (scale, domain, range):

https://github.com/d3/d3-scale
https://www.dashingd3js.com/d3js-scales

Original README.md

This simple bar chart is constructed from a TSV file storing the frequency of letters in the English language. The chart employs conventional margins and a number of D3 features:

d3-dsv - parse tab-separated values
d3-format - number formatting
d3-scale - position encodings
d3-array - data processing
d3-axis - axes

forked from mbostock's block: Bar Chart

forked from weiglemc's block: S18 - HW 3 - Bar Chart

Bar Chart

What is the type of mark used in the bar chart?

The type of mark used in the bar chart is line mark.

List the channels, the attribute they are mapped to, and the data type of that attribute.

The vertical spatial position channel is mapped to the letter frequency. The letter frequency is a quantitative attribute.
The horizontal spatial position channel is mapped to the letter. The letter is a categorical attribute.

After your changes, list the channels, the attribute they are mapped to, and the data type of that attribute.

The vertical spatial position channel is mapped to the letter frequency. The letter frequency is a quantitative attribute.
The horizontal spatial position channel is mapped to the letter attribute. The letter is a categorial attribute.
The hue channel is mapped to the letter attribute. For each color, there is a different letter. The letter attribute is a categorical attribute.

After your changes, list the channels, the attribute they are mapped to, and the data type of that attribute.List all of the channels mapped to the frequency attribute.

The vertical spatial position channel is mapped to the letter frequency. The letter frequency is a quantitative attribute.
The horizontal spatial position channel is mapped to the letter attribute. The letter is a categorial attribute.
The saturation channel is mapped to the letter frequency attribute. The higher the frequency, the darker the color. The lower the frequency, the ligther the color. The letter frequency attribute is a quantitative attribute.

References

<!DOCTYPE html>
<html>
<meta charset="utf-8">
<script src="https://d3js.org/d3.v4.min.js"></script>
<script src="https://d3js.org/d3-scale-chromatic.v1.min.js"></script>

<body>
	<p>Frequency of usage of letters in English</p>
	<h2>Bar Chart 1</h2>
  <div><svg id="chart1" width="800" height="400"></svg></div>
	<h2>Bar Chart 2</h2>
  <div><svg id="chart2" width="800" height="400"></svg></div>

// See https://github.com/d3/d3-scale
var x1 = d3.scaleBand().rangeRound([0, width]).padding(0.1),
    y1 = d3.scaleLinear().rangeRound([height, 0]); // note that we've reversed the range

// creates new svg <g> space, sets new (0,0) at left, top margin
var g1 = svg1.append("g")
    .attr("transform", "translate(" + margin.left + "," + margin.top + ")");

// Eric - Color scale
var colorScale1 = d3.scaleOrdinal(d3.schemeCategory20);
var colorScale2 = d3.scaleSequential(d3.interpolateOranges).domain([height, 0]);
  
d3.tsv("data.tsv", function(d) {
  d.frequency = +d.frequency;    // convert text to number
  return d;
}, function(error, data) {
  if (error) throw error;

// See https://www.dashingd3js.com/d3js-scales
  // maps domain of x values (letters) to range of positions on x-axis
  x1.domain(data.map(function(d) { return d.letter; }));  
  // maps domain of y values (frequencies 0, max freq) to range of positions on y-axis
  y1.domain([0, d3.max(data, function(d) { return d.frequency; })]); 
	
  // x-axis
  g1.append("g")
    .attr("class", "axis x-axis")
    .attr("transform", "translate(0," + height + ")") // move axis to bottom of chart
    .call(d3.axisBottom(x1));
  
  // y-axis
  g1.append("g")
    .attr("class", "axis y-axis")
    .call(d3.axisLeft(y1).ticks(10, "#")); // number of ticks and type

// y-axis label
  g1.append("text")
  	.attr("class", "label")
    .attr("x", 0-margin.left)       // set x position of label
    .attr("y", 0-margin.top/2)			// set y position of label
    .style("text-anchor", "start")  // left-justify
  	.text ("Frequency")
  
  // bars
  g1.selectAll(".bar")
    .data(data)
    .enter().append("rect")
      .attr("class", "bar")
      .attr("x", function(d) { console.log ("letter: " + d.letter + ", x: " + x1(d.letter)); return x1(d.letter); })
      .attr("y", function(d) { console.log ("freq: " + d.frequency + ", y: " + y1(d.frequency)); return y1(d.frequency); })
      .attr("width", x1.bandwidth()) // width of each band 
      .attr("height", function(d) { return height - y1(d.frequency); })
  		.style("fill", function(d, i) {return colorScale1(i)})  // color of the bars - steelblue
  
  var legend = svg1.selectAll(".legend")
  	.data(data)
  	.enter().append("g")
  	.attr("class", "legend")
  	.attr("transform", function(d, i) { return "translate(75," + i * 20 + ")"; });
  
  legend.append("rect")
  	.attr("x", width-25)
  	.attr("width", 10)
  	.attr("height", 10)
  	.style("fill", function(d,i){return colorScale1(i)});
  
  legend.append("text")
  	.attr("x", width-30)
  	.attr("y", 8)
  	.attr("dy", ".35em")
  	.attr("font-size", "1em")
  	.style("text-anchor", "end")
  	.text(function(d){return d.letter})
	 
});
  
// chart 2  
var svg2 = d3.select("#chart2"),
    margin = {top: 20, right: 20, bottom: 30, left: 40},
    width = +svg2.attr("width") - margin.left - margin.right,
    height = +svg2.attr("height") - margin.top - margin.bottom;

var x2 = d3.scaleBand().rangeRound([0, width]).padding(0.1),
    y2 = d3.scaleLinear().rangeRound([height, 0]);

var g2 = svg2.append("g")
    .attr("transform", "translate(" + margin.left + "," + margin.top + ")");

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

x2.domain(data.map(function(d) { return d.letter; }));
  y2.domain([0, d3.max(data, function(d) { return d.frequency; })]);

// x-axis
  g2.append("g")
    .attr("class", "axis axis--x")
    .attr("transform", "translate(0," + height + ")") 
    .call(d3.axisBottom(x2));

// y-axis
  g2.append("g")
    .attr("class", "axis axis--y")
    .call(d3.axisLeft(y2).ticks(10, "#"));

// y-axis label
  g2.append("text")
  	.attr("class", "label")
    .attr("x", 0-margin.left)
    .attr("y", 0-margin.top/2)
    .style("text-anchor", "begin")
  	.text ("Frequency")
  
  // bars
  g2.selectAll(".bar")
    .data(data)
    .enter().append("rect")
      .attr("class", "bar")
      .attr("x", function(d) { return x2(d.letter); })
      .attr("y", function(d) { return y2(d.frequency); })
      .attr("width", x2.bandwidth())
      .attr("height", function(d) { return height - y2(d.frequency); })
  		.style("fill", function(d) {return colorScale2(y2(d.frequency));})  // color of the bars - teal
  ;
});
</script>
</body>
</html>

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

https://d3js.org/d3-scale-chromatic.v1.min.js