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--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>