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Last active January 26, 2017 15:23
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D3 Block-a-Day: Day 16, January 16th, 2017
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.block
license:gpl-3.0
height:600
border:no
Raw
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README.md

D3 Block-a-Day: Day 16, January, 16th 2017

New Year's Resolution for 2017: Make a D3 Block a day to teach myself D3. This is Number 16. This example builds on yesterday's scatterplot adding in a label indicating the year-to-year correlation. This correlation is supplied in the data set which is now JSON instead of csv (first try to use JSON data instead of a flat format like csv).

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baseball_team_wins_current.json
[{"year":2016,"correlation":0.552,"teams":[{"name":"Arizona Diamondbacks","wins":69},{"name":"Atlanta Braves","wins":68},{"name":"Baltimore Orioles","wins":null},{"name":"Baltimore Orioles","wins":89},{"name":"Boston Red Sox","wins":93},{"name":"Chicago Cubs","wins":103},{"name":"Chicago White Sox","wins":78},{"name":"Cincinnati Reds","wins":68},{"name":"Cleveland Indians","wins":94},{"name":"Colorado Rockies","wins":75},{"name":"Detroit Tigers","wins":86},{"name":"Houston Astros","wins":84},{"name":"Kansas City Royals","wins":81},{"name":"Anaheim Angels","wins":74},{"name":"Los Angeles Dodgers","wins":91},{"name":"Florida Marlins","wins":79},{"name":"Milwaukee Brewers","wins":73},{"name":"Minnesota Twins","wins":59},{"name":"New York Mets","wins":87},{"name":"New York Yankees","wins":84},{"name":"Oakland A's","wins":69},{"name":"Philadelphia Phillies","wins":71},{"name":"Pittsburgh Pirates","wins":78},{"name":"San Diego Padres","wins":68},{"name":"San Francisco Giants","wins":87},{"name":"Seattle Mariners","wins":86},{"name":"Saint Louis Cardinals","wins":86},{"name":"Tampa Bay Devil Rays","wins":68},{"name":"Texas Rangers","wins":95},{"name":"Toronto Blue Jays","wins":89},{"name":"Washington Nationals","wins":95}]},{"year":2015,"correlation":0.3164,"teams":[{"name":"Arizona Diamondbacks","wins":79},{"name":"Atlanta Braves","wins":67},{"name":"Baltimore Orioles","wins":null},{"name":"Baltimore Orioles","wins":81},{"name":"Boston Red Sox","wins":78},{"name":"Chicago Cubs","wins":97},{"name":"Chicago White Sox","wins":76},{"name":"Cincinnati Reds","wins":64},{"name":"Cleveland Indians","wins":81},{"name":"Colorado Rockies","wins":68},{"name":"Detroit Tigers","wins":74},{"name":"Houston Astros","wins":86},{"name":"Kansas City Royals","wins":95},{"name":"Anaheim Angels","wins":85},{"name":"Los Angeles Dodgers","wins":92},{"name":"Florida Marlins","wins":71},{"name":"Milwaukee Brewers","wins":68},{"name":"Minnesota Twins","wins":83},{"name":"New York Mets","wins":90},{"name":"New York Yankees","wins":87},{"name":"Oakland A's","wins":68},{"name":"Philadelphia Phillies","wins":63},{"name":"Pittsburgh Pirates","wins":98},{"name":"San Diego Padres","wins":74},{"name":"San Francisco Giants","wins":84},{"name":"Seattle Mariners","wins":76},{"name":"Saint Louis Cardinals","wins":100},{"name":"Tampa Bay Devil Rays","wins":80},{"name":"Texas Rangers","wins":88},{"name":"Toronto Blue Jays","wins":93},{"name":"Washington Nationals","wins":83}]}]
Raw
index.html
<!DOCTYPE html>
<meta charset="utf-8">
<head>
<title>D3 Block-a-Day: Day 16, January 16, 2017</title>
</head>
<!-- Example based on Michele Weigle's D3 Scatterplot Example http://bl.ocks.org/weiglemc/6185069 -->
<style>
body {
font: 16pt Avenir;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.dot {
stroke: black;
stroke-width: 2px;
fill: #00c6c0;
}
.tooltip {
background-color: #fedea3;
padding: 7px;
text-shadow: #f5f5f5 0 1px 0;
font: 15px Avenir;
border: 2px solid;
border-color: black;
border-radius: 5px;
position: absolute;
box-shadow: rgba(0, 0, 0, 0.3) 0 2px 10px;
}
.xaxis {
font: 16px Avenir;
}
.yaxis {
font: 16px Avenir;
}
</style>
<body>
<script src="//d3js.org/d3.v4.min.js"></script>
<script>
var margin = {top: 20, right: 20, bottom: 50, left: 70},
width = 960 - margin.left - margin.right,
height = 600 - 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.winsPrev; }, // data -> value
xScale = d3.scaleLinear().range([0, width]), // value -> display
xMap = function(d) { return xScale(xValue(d));}, // data -> display
xAxis = d3.axisBottom(xScale);
// setup y
var yValue = function(d) { return d.wins; }, // data -> value
yScale = d3.scaleLinear().range([height, 0]), // value -> display
yMap = function(d) { return yScale(yValue(d));}, // data -> display
yAxis = d3.axisLeft(yScale);
// 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.json("baseball_team_wins_current.json", function(error, data) {
if (error) return console.warn(error);
// change string into number format
data.forEach(function(d) {
d['year'] = +d['year'];
});
// don't want dots overlapping axis, so add in buffer to data domain
xScale.domain([40, 120]);
yScale.domain([40, 120]);
// x-axis
svg.append("g")
.attr("class", "xaxis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("text")
.attr("transform",
"translate(" + (width*0.1) + " ," +
(height + margin.top + 30) + ")")
.style("text-anchor", "left")
.style("font-family", "Avenir")
.text("Wins 2015");
// y-axis
svg.append("g")
.attr("class", "yaxis")
.call(yAxis);
svg.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 10 - margin.left)
.attr("x", - 0.75*height)
.attr("dy", ".71em")
.style("text-anchor", "middle")
.style("font-family", "Avenir")
.text("Wins 2016");
var activeYear = 2016;
var years = data.filter(y => {
return y.year === activeYear || y.year === activeYear - 1;
});
var teams = years[0].teams;
var correlation = years[0].correlation;
teams.forEach((t, i) => {
var sameTeamPrevYear = years[1].teams.filter(t2 => {
return t2.name === t.name;
});
t.winsPrev = sameTeamPrevYear[0].wins;
});
// draw dots
svg.selectAll(".dot")
.data(teams)
.enter()
.append("circle")
.attr("class", "dot")
.attr("r", 10)
.attr("cx", xMap)
.attr("cy", yMap)
.on("mouseover", function(d) {
tooltip.transition()
.duration(150)
.style("opacity", .9);
tooltip.html("<b>" + d.name + "</b>" + "<br/> 2015: " + xValue(d)
+ " Wins, 2016: " + yValue(d) + " Wins")
.style("left", (d3.event.pageX + 5) + "px")
.style("top", (d3.event.pageY - 28) + "px");
})
.on("mouseout", function(d) {
tooltip.transition()
.duration(300)
.style("opacity", 0);
});
svg.append("text")
.attr("transform",
"translate(50, 70)")
.style("text-anchor", "left")
.style("font-family", "Avenir")
.style("font-size", "35px")
.style("fill", "#ef9b00")
.style("stroke", "black")
.style("stroke-width", "0.5px")
.text("Correlation = " + correlation);
});
</script>
</body>
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