--description--
A scatter plot is another type of visualization. It usually uses circles to map data points, which have two values each. These values tie to the x
and y
axes, and are used to position the circle in the visualization.
SVG has a circle
tag to create the circle shape. It works a lot like the rect
elements you used for the bar chart.
--instructions--
Use the data()
, enter()
, and append()
methods to bind dataset
to new circle
elements that are appended to the SVG.
Note: The circles won't be visible because we haven't set their attributes yet. We'll do that in the next challenge.
--hints--
Your code should have 10 circle
elements.
assert($('circle').length == 10);
--seed--
--seed-contents--
<body>
<script>
const dataset = [
[ 34, 78 ],
[ 109, 280 ],
[ 310, 120 ],
[ 79, 411 ],
[ 420, 220 ],
[ 233, 145 ],
[ 333, 96 ],
[ 222, 333 ],
[ 78, 320 ],
[ 21, 123 ]
];
const w = 500;
const h = 500;
const svg = d3.select("body")
.append("svg")
.attr("width", w)
.attr("height", h);
svg.selectAll("circle")
// Add your code below this line
// Add your code above this line
</script>
</body>
--solutions--
<body>
<script>
const dataset = [
[ 34, 78 ],
[ 109, 280 ],
[ 310, 120 ],
[ 79, 411 ],
[ 420, 220 ],
[ 233, 145 ],
[ 333, 96 ],
[ 222, 333 ],
[ 78, 320 ],
[ 21, 123 ]
];
const w = 500;
const h = 500;
const svg = d3.select("body")
.append("svg")
.attr("width", w)
.attr("height", h);
svg.selectAll("circle")
.data(dataset)
.enter()
.append("circle")
</script>
</body>