ee1e8abd87
* 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>
3.3 KiB
3.3 KiB
id, title, challengeType, dashedName
| id | title | challengeType | dashedName |
|---|---|---|---|
| 5d8a4cfbe6b6180ed9a1c9f3 | Part 22 | 0 | part-22 |
--description--
D3 has a bunch of functions for working with scales as well. One of them is domain. It takes an array that is used to describe the highest and lowest values of the data for this scale. After a quick look at the data, the values of the "followers" go from about 0 to 5000. Chain the domain function to the yScale and pass it the array [0, 5000].
--hints--
test-text
const domain = yScale.domain();
assert(domain.length === 2 && domain[0] === 0 && domain[1] === 5000);
--seed--
--before-user-code--
<!DOCTYPE html>
<html>
<head>
<title>D3 Dashboard</title>
<style>
body {
background-color: #ccc;
padding: 100px 10px;
}
.dashboard {
width: 980px;
height: 500px;
background-color: white;
box-shadow: 5px 5px 5px 5px #888;
margin: auto;
display: flex;
align-items: center;
}
</style>
</head>
<body>
<div class="dashboard"></div>
</body>
</html>
--seed-contents--
<script>
const data = [
{ year: 2012, followers: { twitter: 2594, tumblr: 401, instagram: 83 }},
{ year: 2013, followers: { twitter: 3049, tumblr: 440, instagram: 192 }},
{ year: 2014, followers: { twitter: 3511, tumblr: 415, instagram: 511 }},
{ year: 2015, followers: { twitter: 3619, tumblr: 492, instagram: 1014 }},
{ year: 2016, followers: { twitter: 4046, tumblr: 543, instagram: 2066 }},
{ year: 2017, followers: { twitter: 3991, tumblr: 701, instagram: 3032 }},
{ year: 2018, followers: { twitter: 3512, tumblr: 1522, instagram: 4512 }},
{ year: 2019, followers: { twitter: 3274, tumblr: 1989, instagram: 4715 }},
{ year: 2020, followers: { twitter: 2845, tumblr: 2040, instagram: 4801 }}
];
</script>
<script>
const svgMargin = 70,
svgWidth = 700,
svgHeight = 500,
twitterColor = '#7cd9d1',
tumblrColor = '#f6dd71',
instagramColor = '#fd9b98';
const lineGraph = d3.select('.dashboard')
.append('svg')
.attr('width', svgWidth)
.attr('height', svgHeight);
const yScale = d3.scaleLinear()
</script>
--solutions--
<script>
const data = [
{ year: 2012, followers: { twitter: 2594, tumblr: 401, instagram: 83 }},
{ year: 2013, followers: { twitter: 3049, tumblr: 440, instagram: 192 }},
{ year: 2014, followers: { twitter: 3511, tumblr: 415, instagram: 511 }},
{ year: 2015, followers: { twitter: 3619, tumblr: 492, instagram: 1014 }},
{ year: 2016, followers: { twitter: 4046, tumblr: 543, instagram: 2066 }},
{ year: 2017, followers: { twitter: 3991, tumblr: 701, instagram: 3032 }},
{ year: 2018, followers: { twitter: 3512, tumblr: 1522, instagram: 4512 }},
{ year: 2019, followers: { twitter: 3274, tumblr: 1989, instagram: 4715 }},
{ year: 2020, followers: { twitter: 2845, tumblr: 2040, instagram: 4801 }}
];
</script>
<script>
const svgMargin = 70,
svgWidth = 700,
svgHeight = 500,
twitterColor = '#7cd9d1',
tumblrColor = '#f6dd71',
instagramColor = '#fd9b98';
const lineGraph = d3.select('.dashboard')
.append('svg')
.attr('width', svgWidth)
.attr('height', svgHeight);
const yScale = d3.scaleLinear()
.domain([0, 5000])
</script>