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abhishekpolavarapu/README.md

Last active March 23, 2016 04:54
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README.md

question 3: Plot only the top 5 QBs by rank and color the marks by rank.

B. choose a single-hue colormap

Explanation:

The multiple hue varies in such a way that with increase in rank the intensity of color also increases.

There is no particular reason for choosing red. I have choosen it simply because I like it.

Raw
index.html
<!DOCTYPE html>
<meta charset="utf-8">
<style>
body {
font: 10px sans-serif;
}
.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="//d3js.org/d3.v3.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;
var x = d3.scale.linear()
.range([0, width]);
var y = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom"<!DOCTYPE html>
<meta charset="utf-8">
<style>
body {
font: 10px sans-serif;
}
.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="//d3js.org/d3.v3.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;
var x = d3.scale.linear()
.range([0, width]);
var y = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var cValue = function(d) {
if(d['Conf'] == 'Pac-12' ) {
return 'Pac-12';
} else if(d['Conf'] == 'MWC'){
return 'MWC';
} else if(d['Conf'] == 'MAC'){
return 'MAC';
}
else if(d['Conf'] == 'SEC'){
return 'SEC';
}
else if(d['Conf'] == 'Big 12'){
return 'Big 12';
}
}, color = function(val) {
if(val == 'Pac-12') {
return '#fee5d9';
} else if (val == 'MWC') {
return '#fcae91';
} else if (val == 'MAC') {
return '#fb6a4a';
}
else if (val == 'SEC') {
return '#de2d26';
}
else if (val == 'Big 12') {
return '#a50f15';
}
}
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 tooltip = d3.select("body").append("div")
.attr("class", "tooltip")
.style("opacity", 0);
d3.csv("stats.csv", function(error, data) {
if (error) throw error;
data.forEach(function(d) {
if(d['Conf'] == 'Pac-12' || d['Conf'] == 'MWC' || d['Conf'] == 'MAC' || d['Conf'] == 'SEC' || d['Conf'] == 'Big 12') {
d.PassingTD = +d.PassingTD;
d.RushingTD = +d.RushingTD;
}
});
x.domain(d3.extent(data, function(d) { return d.PassingTD; })).nice();
y.domain(d3.extent(data, function(d) { return d.RushingTD; })).nice();
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("PassingTD");
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("RushingTD")
svg.selectAll(".dot")
.data(data)
.enter().append("circle")
.attr("class", "dot")
.attr("r", 5)
.attr("cx", function(d) { if(d['Conf'] == 'Pac-12' || d['Conf'] == 'MWC' || d['Conf'] == 'MAC' || d['Conf'] == 'SEC' || d['Conf'] == 'Big 12') return x(d.PassingTD); })
.attr("cy", function(d) { if(d['Conf'] == 'Pac-12' || d['Conf'] == 'MWC' || d['Conf'] == 'MAC' || d['Conf'] == 'SEC' || d['Conf'] == 'Big 12') return y(d.RushingTD); })
.style("fill", function(d) { return color(cValue(d));})
.on("mouseover", function(d) {
tooltip.transition()
.duration(200)
.style("opacity", .9);
tooltip.html(d["Player"] + "<br/> " + d.School + "<br/>"+ d.Conf)
.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);
});
var legend = svg.selectAll(".legend")
.data(['Pac-12', 'MWC', 'MAC','SEC','Big 12'])
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(22," + i * 22 + ")"; });
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) { return d; });
});
</script>
</body>
</html>
Raw
stats.csv
Rk Player School Conf Cmp PassingAttempts Pct Passing Yards Y/A AY/A PassingTD Interceptions Rate RushingAttempts Rushing Yards Rushing Avg RushingTD
1 Marcus Mariota Oregon Pac-12 254 372 68.3 3773 10.1 11.9 38 2 186.1 117 669 5.7 14
2 Garrett Grayson Colorado State MWC 250 386 64.8 3779 9.8 10.7 32 6 171.3 53 -25 -0.5 0
3 Zach Terrell Western Michigan MAC 231 330 70.0 3146 9.5 9.6 23 10 167.0 67 203 3.0 3
4 Blake Sims Alabama SEC 230 355 64.8 3250 9.2 9.7 26 7 161.9 73 321 4.4 6
5 Jake Waters Kansas State Big 12 231 349 66.2 3163 9.1 9.4 20 6 157.8 139 471 3.4 8
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