freeCodeCamp/curriculum/challenges/english/04-data-visualization/data-visualization-with-d3/create-a-scatterplot-with-svg-circles.md

---
id: 587d7fab367417b2b2512bd7
title: Create a Scatterplot with SVG Circles
challengeType: 6
forumTopicId: 301484
dashedName: create-a-scatterplot-with-svg-circles
---

# --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 canvas.

**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.

```js
assert($('circle').length == 10);
```

# --seed--

## --seed-contents--

```html
<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--

```html
<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>
```
feat(challenge-md): Add initial markdown challenge files 2018-09-30 23:01:58 +01:00			`---`
			`id: 587d7fab367417b2b2512bd7`
			`title: Create a Scatterplot with SVG Circles`
			`challengeType: 6`
fix(curriculum): Added forumTopicId to remaining 1200 challeng… (#36558) 2019-08-05 09:17:33 -07:00			`forumTopicId: 301484`
feat(curriculum): restore seed + solution to Chinese (#40683) * feat(tools): add seed/solution restore script * chore(curriculum): remove empty sections' markers * chore(curriculum): add seed + solution to Chinese * chore: remove old formatter * fix: update getChallenges parse translated challenges separately, without reference to the source * chore(curriculum): add dashedName to English * chore(curriculum): add dashedName to Chinese * refactor: remove unused challenge property 'name' * fix: relax dashedName requirement * fix: stray tag Remove stray `pre` tag from challenge file. Signed-off-by: nhcarrigan <nhcarrigan@gmail.com> Co-authored-by: nhcarrigan <nhcarrigan@gmail.com> 2021-01-13 03:31:00 +01:00			`dashedName: create-a-scatterplot-with-svg-circles`
feat(challenge-md): Add initial markdown challenge files 2018-09-30 23:01:58 +01:00			`---`

Feat: add new Markdown parser (#39800) and change all the challenges to new `md` format. 2020-11-27 19:02:05 +01:00			`# --description--`
feat(challenge-md): Add initial markdown challenge files 2018-09-30 23:01:58 +01:00
Feat: add new Markdown parser (#39800) and change all the challenges to new `md` format. 2020-11-27 19:02:05 +01:00			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 canvas.

			`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.
feat(challenge-md): Add initial markdown challenge files 2018-09-30 23:01:58 +01:00
Feat: add new Markdown parser (#39800) and change all the challenges to new `md` format. 2020-11-27 19:02:05 +01:00			```js
			`assert($('circle').length == 10);`
			```
feat(challenge-md): Add initial markdown challenge files 2018-09-30 23:01:58 +01:00
Feat: add new Markdown parser (#39800) and change all the challenges to new `md` format. 2020-11-27 19:02:05 +01:00			`# --seed--`
feat(challenge-md): Add initial markdown challenge files 2018-09-30 23:01:58 +01:00
Feat: add new Markdown parser (#39800) and change all the challenges to new `md` format. 2020-11-27 19:02:05 +01:00			`## --seed-contents--`
feat(challenge-md): Add initial markdown challenge files 2018-09-30 23:01:58 +01:00
			```html
			`<body>`
			`<script>`
			`const dataset = [`
			`[ 34, 78 ],`
			`[ 109, 280 ],`
			`[ 310, 120 ],`
			`[ 79, 411 ],`
			`[ 420, 220 ],`
			`[ 233, 145 ],`
			`[ 333, 96 ],`
			`[ 222, 333 ],`
			`[ 78, 320 ],`
			`[ 21, 123 ]`
			`];`
fix(challenge-md): Fix quotes that failed in the transform 2018-10-08 01:01:53 +01:00

feat(challenge-md): Add initial markdown challenge files 2018-09-30 23:01:58 +01:00			`const w = 500;`
			`const h = 500;`
fix(challenge-md): Fix quotes that failed in the transform 2018-10-08 01:01:53 +01:00
feat(challenge-md): Add initial markdown challenge files 2018-09-30 23:01:58 +01:00			`const svg = d3.select("body")`
			`.append("svg")`
			`.attr("width", w)`
			`.attr("height", h);`
fix(challenge-md): Fix quotes that failed in the transform 2018-10-08 01:01:53 +01:00
feat(challenge-md): Add initial markdown challenge files 2018-09-30 23:01:58 +01:00			`svg.selectAll("circle")`
			`// Add your code below this line`
fix(challenge-md): Fix quotes that failed in the transform 2018-10-08 01:01:53 +01:00


feat(challenge-md): Add initial markdown challenge files 2018-09-30 23:01:58 +01:00			`// Add your code above this line`
fix(challenge-md): Fix quotes that failed in the transform 2018-10-08 01:01:53 +01:00
feat(challenge-md): Add initial markdown challenge files 2018-09-30 23:01:58 +01:00			`</script>`
			`</body>`
			```

Feat: add new Markdown parser (#39800) and change all the challenges to new `md` format. 2020-11-27 19:02:05 +01:00			`# --solutions--`
feat(challenge-md): Add initial markdown challenge files 2018-09-30 23:01:58 +01:00
Add solution d3challenges (#38222) * added solutions to data visualization with D3 * Update add-a-tooltip-to-a-d3-element.english.md * Update add-attributes-to-the-circle-elements.english.md * Update add-axes-to-a-visualization.english.md * Update add-document-elements-with-d3.english.md * Update add-inline-styling-to-elements.english.md * Update add-labels-to-scatter-plot-circles.english.md * Update change-styles-based-on-data.english.md * Update change-the-color-of-an-svg-element.english.md * Update change-the-presentation-of-a-bar-chart.english.md * Update create-a-bar-for-each-data-point-in-the-set.english.md * Update create-a-linear-scale-with-d3.english.md * Update create-a-scatterplot-with-svg-circles.english.md * Update display-shapes-with-svg.english.md * Update dynamically-change-the-height-of-each-bar.english.md * Update dynamically-set-the-coordinates-for-each-bar.english.md * Update invert-svg-elements.english.md * Update learn-about-svg-in-d3.english.md * Update select-a-group-of-elements-with-d3.english.md * Update set-a-domain-and-a-range-on-a-scale.english.md * Update style-d3-labels.english.md * Update work-with-dynamic-data-in-d3.english.md * Update use-a-pre-defined-scale-to-place-elements.english.md * Update use-dynamic-scales.english.md * Update use-the-d3.max-and-d3.min-functions-to-find-minimum-and-maximum-values-in-a-dataset.english.md * Update work-with-data-in-d3.english.md 2020-04-24 17:04:53 +05:30			```html
			`<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>`
feat(challenge-md): Add initial markdown challenge files 2018-09-30 23:01:58 +01:00			```