S18 - HW3 - Scatterplot

CS 725/825 - Spring 2018 - Homework 3 - Scatterplot Kavyashree Sirigere Prakash

Scatterplot

What is the type of mark used in the scatterplot?
Point is the mark type in Scatterplot
List the channels, the attribute they are mapped to, and the data type of that attribute.
Channels used in Scatterplot are:

Vertical spatial position
Horizontal spatial position

Number of Passing Touch Down's of player is the quantitative attribute mapped on to vertical spatial position
Number of Rushing Touch Down's for a player is the quantitative attribute mapped on to horizontal spatial position

After your changes, list the channels, the attribute they are mapped to, and the data type of that attribute.
Another attribute that I considered is Rushing Average
Channels in Scatterplot are:

Vertical spatial position
Horizontal spatial position
Hue
Size

Number of Passing Touch Down's of player is the quantitative attribute mapped on to vertical spatial position.
Number of Rushing Touch Down's for a player is the quantitative attribute mapped on to horizontal spatial position.

The player's conference is a categorical attribute which is expressed in Hue channel. Rushing Average is a quantitative attribute which is expressed in Size channel.

Added Thumbnail of scatterplot
Extra Credit

I followed few blogs which explained about legend in D3.
I am appending legend tag in vertical alignment
Added "Conferences" label for the color legend
To lable the colors,i created an array which stores names of all confeerences in dataset
Then I used conditional loop to get colors for various conferences in a rectangale SVG
Altered height,width and size of SVG to position towards left,vertically

References

http://www.competa.com/blog/d3-js-part-7-of-9-adding-a-legend-to-explain-the-data/
https://bl.ocks.org/zanarmstrong/0b6276e033142ce95f7f374e20f1c1a7
http://d3-legend.susielu.com/#color-ordinal
/juan-cb/ac731adaeadd3e855d26 -I found out that, this example was very helpful

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

Scatterplot of 2014 NCAA Passing Statistics

Data from http://www.sports-reference.com/cfb/years/2014-passing.html

Scatterplot based on /mbostock/3887118, tooltip example from http://www.d3noob.org/2013/01/adding-tooltips-to-d3js-graph.html

Built with blockbuilder.org

forked from weiglemc's block: S18 - HW3 - Scatterplot

<!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>

.tooltip {
  position: absolute;
  width: 220px;
  height: 150px;
  background: #f2f2f2;
  pointer-events: none;
}
</style>
  
<body>
  <h2>Scatterplot</h2>
  <div><svg id="chart1" width="782" height="530"></svg></div>

var g = svg.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("passing-stats-2014.csv", function (d) {
  // change string (from CSV) into number format
  d["Passing TD"] = +d["Passing TD"];
  d["Rushing TD"] = +d["Rushing TD"];
  return d;
}, function(error, data) {

if (error) throw error;
  
/* 
 * 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
 */ 
  
// setup x 
var xValue = function(d) { return d["Rushing TD"];}, // data -> value
    xScale = d3.scaleLinear().range([0, width]),     // value -> display
    xMap = function(d) { return xScale(xValue(d));}; // data -> display

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

// 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([0, d3.max(data, yValue)+1]);

// x-axis
  g.append("g")
 		.attr("class", "axis x-axis")
  	.attr("transform", "translate(0," + height + ")") // move axis to bottom of chart
   	.call(d3.axisBottom(xScale));
  
  // x-axis label
  g.append("text")
  	.attr("class", "label")
   	.attr("x", width/2)
    .attr("y", height+(margin.bottom*0.93))
    .style("text-anchor", "middle")
    .text("Rushing TDs");

// y-axis
  g.append("g")
 		.attr("class", "axis y-axis")
 		.call(d3.axisLeft(yScale));
  
  // y-axis label
  g.append("text") 
    .attr("class", "label")
    .attr("x", 0-(height/2))
    .attr("y", 0-(margin.left*0.5))
    .attr("transform", "rotate(-90)") // rotate text -90 degrees from x, y
    .style("text-anchor", "middle")
    .text("Passing TDs");

// draw dots
  g.selectAll(".dot")
      .data(data)
    .enter().append("circle")
      .attr("class", "dot")
      .attr("r", function (d)  { return d["Rushing Avg"]*2.0; })
      .attr("cx", xMap)
      .attr("cy", yMap)
			.style("fill", function(d) {
    var Cirlecolor;
    if(d["Conf"]=== "Pac-12") {return "#003366";}
    else if (d["Conf"] === "MAC") { return "#339966";} 					
    else if (d["Conf"] === "CUSA") { return  "#666633";}
    else if (d["Conf"] === "American") { return "#663300";}
    else if (d["Conf"] === "MWC") { return "#ff0000";}
    else if (d["Conf"] === "SEC") { return "#6600ff";}
    else if (d["Conf"] === "Big Ten") {return "#ff5050";}
    else if (d["Conf"] === "Big 12") { return "#ffff00";}
    else if (d["Conf"] === "ACC") { return  "#ff99ff";}
    else if (d["Conf"] === "Sun Belt") { return  "#ff6600" ;}
    else if (d["Conf"] === "Ind") {return "#660066" ;}
    return Circlecolor;
  
  })
      // tooltip
      .on("mouseover", function(d) {
          tooltip.transition()
               .duration(200)         // ms delay before appearing
               .style("opacity", .8); // tooltip appears on mouseover
          tooltip.html(d["Player"] + "<br/> " + d.School + "<br/>(" + xValue(d) 
	        + ", " + yValue(d) + ")")
               .style("left", (d3.event.pageX + 10) + "px")  // specify x location
               .style("top", (d3.event.pageY - 28) + "px");  // specify y location
      })
      .on("mouseout", function(d) {
          tooltip.transition()
               .duration(500)
               .style("opacity", 0); // disappear on mouseout
      });
});
var conf=["Pac-12","MAC","CUSA","American","MWC","SEC","Big Ten","Big 12","ACC","Sun Belt","Ind"];
var legend = svg.selectAll(".legend")
    .data(conf)
    .enter().append("g")
    .attr("class", "legend")
    .attr("transform", function(d, i) { return "translate(101," + i * 24 + ")"; });

legend.append("rect")
    .attr("x", width - 16)
    .attr("width", 224)
    .attr("height", 19)
    .style("fill",function(d,i) {
    var Cirlecolor;
    if(conf[i]=== "Pac-12") {return "#003366";}
    else if (conf[i] === "MAC") { return "#339966";} 					
    else if (conf[i] === "CUSA") { return  "#666633";}
    else if (conf[i] === "American") { return "#663300";}
    else if (conf[i] === "MWC") { return "#ff0000";}
    else if (conf[i] === "SEC") { return "#6600ff";}
    else if (conf[i] === "Big Ten") {return "#ff5050";}
    else if (conf[i] === "Big 12") { return "#ffff00";}
    else if (conf[i] === "ACC") { return  "#ff99ff";}
    else if (conf[i] === "Sun Belt") { return  "#ff6600" ;}
    else if (conf[i]=== "Ind") {return "#660066" ;}
    return Circlecolor;
  } );

legend.append("text")
    .attr("x", width - 21)
    .attr("y", 16)
    .attr("dy", "0.00126615552em")
    .style("text-anchor", "end")
	  .attr("font-size","0.603832320000001em")
    .text(function(d) { return d; });
  
svg.select(".legend").append("text")
.attr("font-size","5.7672em")
.attr("x",657)
.attr("y",4.5)
.attr("dy","0.192em")
.attr("text-anchor","end")
.attr("font-size","0.716352em")
.attr("font-weight","bold")
.text("Conferences");
  
</script>
</body>
</html>

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

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