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@swingley
Last active May 21, 2021 20:50
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Retrieve data from the Census API, build a table with D3.
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
</head>
<body>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>
var stats = 'B01001_001E,B17001_002E';
var census = 'http://api.census.gov/data/2015/acs/acs1?get=NAME,' + stats + '&for=urban+area:*';
var headerLabels = ['Name', 'Population', 'Poverty', '%'];
var numberFormat = d3.format(',');
d3.json(census, function(response) {
console.log('json', response);
var table = d3.select('body').append('table');
var thead = table.append('thead').append('tr');
var tbody = table.append('tbody');
// First item in response array is an array of column labels.
// Not user-friendly so throw them away.
response.shift();
response.forEach(function(row) {
// Calculate percentage below the poverty line.
row.push(((row[2] / row[1]) * 100).toFixed(2));
// Remove the urban area number identifier.
row.splice(3,1);
});
thead.selectAll('th')
.data(headerLabels)
.enter()
.append('th')
.text(function(d) { return d; });
tbody.selectAll('tr')
.data(response)
.enter()
.append('tr')
.selectAll('td')
.data(function(d) { return d; })
.enter()
.append("td").text(function(d, i) {
if ( i === 1 || i === 2 ) {
return numberFormat(d);
} else {
return d;
}
});
});
</script>
</body>
</html>
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