EXERCISE: Take the vertical bar chart from last week's exercise, and rework it as a scatterplot. Choose a second quantitative value from your data set, and map it to the x axis. Replace the rectangles with circles, so dots appear at the x/y intersection of the two values. Make sure the axes correctly label the new values. Post the bl.ocks.org link to your working chart in the forums, and explain what the chart represents as well as your visual design decisions.
Visualization and Infographics with D3: Module 5
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.d3js h2 { margin: 3em 0 1em 0; } | |
.d3js h5 { margin-top: 5em; } | |
.chart-container { | |
font-family: Helvetica, sans-serif; | |
padding: 3em; | |
} | |
.bar-chart, .scatter-plot { margin-bottom: 5em; } | |
.bar-chart, .scatter-plot h2 { margin: 0 0 0.2em 0; } | |
.bar-chart, .scatter-plot p { | |
color: #8e979b; | |
font-size: 0.8em; | |
margin: 0 0 2em 0; | |
} | |
.scatter-plot a { | |
color: #8e979b; | |
text-decoration: underline; | |
} | |
.axis path, | |
.axis line { | |
fill: none; | |
stroke: #667176; | |
shape-rendering: crispEdges; | |
} | |
.axis text { | |
fill: #667176; | |
font-family: sans-serif; | |
font-size: 11px; | |
} |
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<!doctype html> | |
<html> | |
<head> | |
<meta charset="utf-8"> | |
<meta name="viewport" content="width=device-width, initial-scale=1"> | |
<title>Stephanie Briones</title> | |
<link rel="stylesheet" type="text/css" href="exercise5.css"> | |
<script type="text/javascript" src="http://d3js.org/d3.v3.js"></script> | |
</head> | |
<body> | |
<div class="container d3js"> | |
<section class="chart-container"> | |
<div class="scatter-plot"> | |
<h2>Ice Cream Sales</h2> | |
<p>The warmer it gets, the more ice cream is sold. | |
<a href="https://www.mathsisfun.com/data/scatter-xy-plots.html">Resource</a></p> | |
</div> | |
</section> | |
<script type="text/javascript"> | |
var w = 680; | |
var h = 350; | |
var padding = 60; | |
var dataset = [ | |
["14.2", "215"], | |
["16.4", "325"], | |
["11.9", "185"], | |
["15.2", "332"], | |
["18.5", "406"], | |
["22.1", "522"], | |
["19.4", "412"], | |
["25.1", "614"], | |
["23.4", "544"], | |
["18.1", "421"], | |
["22.6", "445"], | |
["17.2", "408"] | |
]; | |
var svg = d3.select(".scatter-plot") | |
.append("svg") | |
.attr("width", w + padding) | |
.attr("height", h + padding); | |
var color = d3.scale | |
.linear() | |
.domain([0, 10]) | |
.range(["#4E585E", "#4990E2"]); | |
var xScale = d3.scale.linear() | |
.domain([10, 26]) | |
.range([0, w]); | |
var yScale = d3.scale.linear() | |
.domain([700, 0]) | |
.range([0, h]); | |
var xAxis = d3.svg.axis() | |
.scale(xScale) | |
.orient("bottom") | |
.ticks(10); | |
var yAxis = d3.svg.axis() | |
.scale(yScale) | |
.orient("left") | |
.ticks(10); | |
svg.selectAll("circle") | |
.data(dataset) | |
.enter() | |
.append("circle") | |
.attr("cx", function(d) { | |
return xScale(d[0]); | |
}) | |
.attr("cy", function(d) { | |
return yScale(d[1]); | |
}) | |
.attr("r", function(d) { | |
return d[1] / d[0]; | |
}) | |
.transition() | |
.delay(function(d, i) { | |
return i * 50; | |
}) | |
.duration(250) | |
.attr("fill", function(d) { | |
return color(d[0]); | |
}); | |
// xAxis | |
svg.append("g") | |
.attr("class", "axis") | |
.attr("transform", "translate(30," + (h + 10) + ")") | |
.call(xAxis); | |
// yAxis | |
svg.append("g") | |
.attr("class", "axis") | |
.attr("transform", "translate(" + (padding - 30) + ", 8)") | |
.call(yAxis); | |
svg.append("text") | |
.attr("class", "label") | |
.attr("y", (h + 35)) | |
.attr("x", w/2 + 20) | |
.attr("dy", "1.6em") | |
.style("text-anchor", "middle") | |
.style("fill", "#ced3d5") | |
.style("font-size", "0.7em") | |
.style("font-weight", "500") | |
.style("text-transform", "uppercase") | |
.style("letter-spacing", "1px") | |
.text("Temperature °C"); | |
</script> | |
</div> | |
</body> | |
</html> |
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