A D3 rendering of Anscombe Quartet, a classic data visualization example where four data sets have the same summary statistics, showing a reason why visualization is important - to see different distrubitions of data, which summary statistics can't always uncover.
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<!DOCTYPE html> | |
<!-- Paul Buffa 2015 | |
--> | |
<meta charset="utf-8"> | |
<style> | |
.waves { | |
color: blue; |
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<!DOCTYPE html> | |
<!-- Paul Buffa 2015 | |
--> | |
<meta charset="utf-8"> | |
<style> | |
.waves { | |
font: 14px sans-serif; | |
font-weight: bolder; | |
} |
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Learn more about bidirectional Unicode characters
<!DOCTYPE html> | |
<!-- Paul Buffa 2015 | |
--> | |
<meta charset="utf-8"> | |
<style> | |
.waves { | |
font: 14px sans-serif; | |
font-weight: bolder; | |
} |
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Learn more about bidirectional Unicode characters
<!DOCTYPE html> | |
<meta charset="utf-8"> | |
<style> | |
canvas { | |
position: absolute; | |
} | |
</style> |
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Learn more about bidirectional Unicode characters
<!DOCTYPE html> | |
<meta charset="utf-8"> | |
<style> | |
svg { | |
font: 10px sans-serif; | |
} | |
.axis path, | |
.axis line { |